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Research News: Neurologic Disorders (FULL)
Modest Evidence for Benefit in Studies of Cannabis in MS
While several dozen studies have been conducted into cannabis-based treatments for symptoms of multiple sclerosis (MS), a new systematic review deems most to be of fair to poor quality. Reviewers found modest evidence of benefit and plenty of room for more research.
“Cannabis-based medicine may be useful for refractory MS symptoms, especially spasticity and pain, and side effects are usually well tolerated,” study lead author Natasha Breward, a graduate student at the College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, said in an interview. Breward spoke prior to the presentation of the study findings at the 2019 meeting of the Consortium of Multiple Sclerosis Centers.
For the review, Breward and colleagues focused on 60 studies—26 randomized controlled trials and 34 trials with other designs. Forty of the studies used nabiximols, an oromucosal spray that is derived from the cannabis sativa plant and approved for use in multiple countries but not yet in the US.
According to Breward, some of the other treatments included dried cannabis that is smoked or eaten and cannabidiol that’s typically delivered with tetrahydrocannabinol (THC) either oromucosally or as an oral capsule.
MS symptoms treated in the studies included spasticity (n = 29), pain (n = 8), and cognition (n = 6). The researchers considered 22 studies to be poor quality, 14 to be fair quality, and 24 to be good/excellent quality.
The researchers found that the cannabis-based medicine “significantly reduced spasticity and pain in several individual good-quality studies,” Breward said. The drugs seem to work by inhibiting neurotransmitter release via cannabinoids. “However, the variability in study quality—and in the products and regimens studied—make it hard to draw any conclusions about specific products and doses that may have the most potential benefit,” she added.
“Further research should focus on the use of different products and formulations of cannabis-based medicine such as cannabis oil and cannabidiol-prominent products, as no studies have focused on this area,” she said. “Research should also look at the potential of cannabis-based medicine for the treatment of disease progression, as cannabinoids are anti-inflammatory and immunomodulatory. Finally, more research regarding the potentially synergistic effects of cannabis-based medicine administered with current MS medications would also be useful.”
Randy Dotinga, MDedge.com/neurology
Brain Volumes After TBI Correlate With Clinical Features
Brain volumes of specific regions of interest can be used to classify traumatic brain injury subjects that fall into predetermined symptom categories, according to a study presented at the annual meeting of the American Academy of Neurology.
Traumatic brain injury (TBI) damages brain tissue and causes subsequent volume loss, which may result in clinical symptoms. It is a prevalent worldwide health problem caused by a mechanical insult to the head, resulting in transient or permanent alteration to brain tissue and/or function. Standard neuroimaging with computed cranial tomography (CT) and structural magnetic resonance imaging (MRI) is often unrevealing during the evaluation of patients with TBI, particularly those classified as mild TBI.
In this study, James Rock, MD, of Penn Presbyterian Medical Center and the University of Pennsylvania, and colleagues sought to examine the value of quantitative analysis of regional brain volumes in the evaluation of TBI. The investigators reviewed the medical records and MRI imaging from 44 patients with TBI evaluated at a Level I trauma center. They also read clinical notes to assess reported symptoms and physical findings.
Regional volumes from TBI subjects were derived using the software package Freesurfer image analysis suite (surfer.nmr.mgh.harvard.edu), which utilizes a T1-weighted structural scan to calculate volumetric information. A machine learning algorithm, random forests, was employed across volume measurements from 25 regions of interest to determine the most important regions for classifying subjects based on clinical outcome and symptomology.
Basal ganglia volume showed the highest variable importance with regards to classifying subjects who exhibited symptoms of cognitive dysfunction in quantitative analysis. Left lateral ventricle volume was important in classifying subjects with motor and vestibular alterations. Left choroid plexus volume was the most important region for classifying subjects with sensation and somatic dysfunction.
In an abstract, the researchers noted that their study is ongoing. “It will be extended to a larger cohort to determine whether volume changes in specific [regions of interest] can act as useful clinical biomarkers for chronic symptoms,” they said.
Dr. Diaz-Arrastia received personal compensation from Neural Analytics, Inc; BrainBox Solutions, Inc; and Bioscience Pharma Partners. Dr. Diaz-Arrastia holds stock and/or stock options in Neural Analytics, Inc and has received research support from BrainBox Solutions. The other authors reported no other disclosures.
Glenn S. Williams, MDedge.com/neurology
What Other Drugs Do Patients Take When They Start MS Therapy?
Concomitant medication use is common when patients with multiple sclerosis (MS) start disease-modifying drugs (DMDs), according to research presented at the 2019 meeting of the Consortium of Multiple Sclerosis Centers. The likelihood of particular comorbidities and concomitant medications varies by age and sex, researchers reported.
“This may have implications for MS treatment,” said study author Jacqueline Nicholas, MD, MPH, of Ohio Multiple Sclerosis Center in Columbus and colleagues. “A better understanding of the effects of comorbidities and concomitant medications on the effectiveness and safety of DMDs is needed to support clinical decision making.”
Researchers have examined comorbidities in patients with MS, but concomitant medication use among patients starting DMDs is poorly understood, the authors said.
To study this question, Dr. Nicholas and colleagues analyzed retrospective administrative claims data from IQVIA Real-World Data Adjudicated Claims–US database from Jan. 1, 2010, to June 30, 2017. Their analysis included patients with ≥ 2 MS diagnosis claims and at least 1 DMD claim between Jan. 1, 2011, and June 30, 2015. Eligible patients were aged 18 to 63 years and had continuous eligibility with commercial insurance 1 year before and 2 years after DMD initiation. In addition, patients had no evidence of DMD use during the 1-year baseline period.
The investigators used International Classification of Diseases, 9th and 10th revisions, Clinical Modification codes and claims to evaluate patients’ comorbidities and concomitant medications during the study period.
The researchers identified 8,251 eligible patients. Patients had a mean age of 43.2 years, and 75.5% were female. Average baseline Charlson Comorbidity Index was 0.41. In the 2 years after DMD initiation, common comorbid diagnoses were hyperlipidemia (30.0%), hypertension (28.2%), gastrointestinal disorders (26.2%), depression (25.5%), and anxiety (20.1%).
Common concomitant medications included antibiotics (70.6%); analgesics (57.0%); corticosteroids (52.0%); antidepressants (47.7%); anticonvulsants (46.7%); anxiolytics, sedatives, or hypnotics (43.2%); spasticity medications (36.2%); and muscle relaxants (35.4%).
Most comorbidities and many medications, including bladder and antifatigue medications, were more common among patients aged ≥ 55 years. Hyperlipidemia, hypertension, and diabetes mellitus were more likely in males than in females. Females were more likely to have gastrointestinal disease, depression, thyroid disease, anxiety, lung disease, and arthritis. In addition, females were more likely than males to use many of the concomitant medications.
Dr. Nicholas disclosed grant support from EMD Serono. A coauthor is an employee of Health Services Consulting Corporation and received funding from EMD Serono to conduct the study. Other coauthors are employees of EMD Serono.
Jake Rem
Depression, Fatigue, Pain, and Anxiety Are Common in the Year After MS Diagnosis
In the 12 months after diagnosis, pain, fatigue, depression, and anxiety are common among patients with multiple sclerosis (MS), researchers reported at the 2019 meeting of the Consortium of Multiple Sclerosis Centers. In a novel study, about half of patients with MS reported clinically significant symptoms of depression or pain, and about 60% reported fatigue during that time.
Pain, fatigue, depression, and anxiety are common in MS, but their prevalence in the first year after diagnosis is not well understood. To examine the rates of these conditions and how often they co-occur during that period, Anna L. Kratz, PhD, associate professor of physical medicine and rehabilitation at the University of Michigan in Ann Arbor, and her research colleagues had 231 adults with MS complete validated surveys at 1, 2, 3, 6, 9, and 12 months after diagnosis to assess symptoms of these conditions.
Overall, 47.2% of patients reported clinically significant levels of depression, 38.5% reported clinically significant levels of anxiety, 50.4% reported clinically significant pain, and 62.2% reported clinically significant fatigue at any point during the year after diagnosis. “Of those who did not have clinically significant symptoms at time of diagnosis, 21.3% went on to develop clinically significant depression, 17.0% anxiety, 30.9% pain, and 34.1% fatigue,” the authors reported.
About 23% of patients did not have clinically significant symptoms for any condition, while 20% had clinically significant symptoms for 1 condition, 21% for 2, 19% for 3, and 17% for all 4. Depression and fatigue had the highest rate of comorbidity, whereas pain and anxiety had the lowest rate of comorbidity.
“Important clinical symptoms associated with MS are present at high levels in the first year post diagnosis,” Dr. Kratz and colleagues concluded. “While the rates and severity are marginally lower than have been identified in studies of individuals farther into the MS disease course, this study is a reminder that early MS intervention should incorporate interventions for these symptoms that are known to have strong associations with quality of life.”
The researchers had no disclosures.
Jake Remaly, MDedge.com/neurology
Experts Propose New Definition and Recommendations for Alzheimer-like Disorder
An international group of experts has proposed a new name, staging criteria, and recommendations for a recently recognized brain disorder that mimics Alzheimer disease and is marked by a proteinopathy caused by malformed transactive response DNA-binding protein of 43 kDa (TDP-43).
The term limbic-predominant age-related TDP-43 encephalopathy (LATE) was coined in an effort to raise awareness and kick-start research into this “pathway to dementia,” the experts wrote in a report appearing in Brain. “As there is currently no universally agreed-upon terminology or staging system for common age-related TDP-43 proteinopathy, this condition is understudied and not well recognized, even among investigators in the field of dementia research,” wrote the authors of the report, led by Peter T. Nelson, MD, PhD, of the University of Kentucky, Lexington.
LATE neuropathologic changes, associated with a progressive amnesia syndrome that mimics Alzheimer, are seen in > 20% of individuals aged > 80 years, according to large, community-based autopsy series. It coexists with Alzheimer disease in many patients, lowering the threshold for developing dementia, authors said.
The term LATE is designed to encompass several other terms related to TDP-43 pathology, including hippocampal sclerosis and cerebral age-related TDP-43 with sclerosis, Dr. Nelson and colleagues noted.
The TDP-43 protein is encoded by the TARDBP gene and provides several functions related to the regulation of gene expression, the authors wrote.
Misfolded TDP-43 was known to play a causative role in amyotrophic lateral sclerosis and frontotemporal lobar degeneration, the authors noted, and then was also identified in the brains of older individuals with hippocampal sclerosis or Alzheimer disease neuropathologic changes.
The authors proposed a 3-stage classification system for LATE neuropathologic change based on TDP-43 immunohistochemistry performed during routine autopsy evaluation of the amygdala, hippocampus, and middle frontal gyrus. The amygdala is an area affected early in the course of the disease (Stage 1), whereas involvement of the hippocampus represents a more intermediate stage (Stage 2), and the middle frontal gyrus is more affected in advanced stages of the disease (Stage 3), according to the schema.
Five genes have been identified with risk alleles for LATE neuropathologic changes, authors said. Of note, several groups have found that the apolipoprotein E ∑ 4 allele, known to be a risk factor for Alzheimer disease neuropathologic changes and Lewy body disease, is also linked to increased risk of TDP-43 proteinopathy.
There are no established biomarkers specific to TDP-43 proteinopathy yet, which hampers development of clinical trials designed to test interventions to treat or prevent LATE, Dr. Nelson and colleagues said in their report. LATE also could obscure the effects of potentially disease-modifying agents being tested in Alzheimer disease clinical trials, which can complicate the interpretation of study results, they added.
“Until there are biomarkers for LATE, clinical trials should be powered to account for TDP-43 proteinopathy,” they wrote. Dr. Nelson and coauthors reported no author disclosures.
Source: Nelson PT, Dickson DW, Trojanowski JQ, et al. Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report. Brain. 2019;142(6):1503-1527.
Andrew D. Bowser, MDedge.com/neurology
Modest Evidence for Benefit in Studies of Cannabis in MS
While several dozen studies have been conducted into cannabis-based treatments for symptoms of multiple sclerosis (MS), a new systematic review deems most to be of fair to poor quality. Reviewers found modest evidence of benefit and plenty of room for more research.
“Cannabis-based medicine may be useful for refractory MS symptoms, especially spasticity and pain, and side effects are usually well tolerated,” study lead author Natasha Breward, a graduate student at the College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, said in an interview. Breward spoke prior to the presentation of the study findings at the 2019 meeting of the Consortium of Multiple Sclerosis Centers.
For the review, Breward and colleagues focused on 60 studies—26 randomized controlled trials and 34 trials with other designs. Forty of the studies used nabiximols, an oromucosal spray that is derived from the cannabis sativa plant and approved for use in multiple countries but not yet in the US.
According to Breward, some of the other treatments included dried cannabis that is smoked or eaten and cannabidiol that’s typically delivered with tetrahydrocannabinol (THC) either oromucosally or as an oral capsule.
MS symptoms treated in the studies included spasticity (n = 29), pain (n = 8), and cognition (n = 6). The researchers considered 22 studies to be poor quality, 14 to be fair quality, and 24 to be good/excellent quality.
The researchers found that the cannabis-based medicine “significantly reduced spasticity and pain in several individual good-quality studies,” Breward said. The drugs seem to work by inhibiting neurotransmitter release via cannabinoids. “However, the variability in study quality—and in the products and regimens studied—make it hard to draw any conclusions about specific products and doses that may have the most potential benefit,” she added.
“Further research should focus on the use of different products and formulations of cannabis-based medicine such as cannabis oil and cannabidiol-prominent products, as no studies have focused on this area,” she said. “Research should also look at the potential of cannabis-based medicine for the treatment of disease progression, as cannabinoids are anti-inflammatory and immunomodulatory. Finally, more research regarding the potentially synergistic effects of cannabis-based medicine administered with current MS medications would also be useful.”
Randy Dotinga, MDedge.com/neurology
Brain Volumes After TBI Correlate With Clinical Features
Brain volumes of specific regions of interest can be used to classify traumatic brain injury subjects that fall into predetermined symptom categories, according to a study presented at the annual meeting of the American Academy of Neurology.
Traumatic brain injury (TBI) damages brain tissue and causes subsequent volume loss, which may result in clinical symptoms. It is a prevalent worldwide health problem caused by a mechanical insult to the head, resulting in transient or permanent alteration to brain tissue and/or function. Standard neuroimaging with computed cranial tomography (CT) and structural magnetic resonance imaging (MRI) is often unrevealing during the evaluation of patients with TBI, particularly those classified as mild TBI.
In this study, James Rock, MD, of Penn Presbyterian Medical Center and the University of Pennsylvania, and colleagues sought to examine the value of quantitative analysis of regional brain volumes in the evaluation of TBI. The investigators reviewed the medical records and MRI imaging from 44 patients with TBI evaluated at a Level I trauma center. They also read clinical notes to assess reported symptoms and physical findings.
Regional volumes from TBI subjects were derived using the software package Freesurfer image analysis suite (surfer.nmr.mgh.harvard.edu), which utilizes a T1-weighted structural scan to calculate volumetric information. A machine learning algorithm, random forests, was employed across volume measurements from 25 regions of interest to determine the most important regions for classifying subjects based on clinical outcome and symptomology.
Basal ganglia volume showed the highest variable importance with regards to classifying subjects who exhibited symptoms of cognitive dysfunction in quantitative analysis. Left lateral ventricle volume was important in classifying subjects with motor and vestibular alterations. Left choroid plexus volume was the most important region for classifying subjects with sensation and somatic dysfunction.
In an abstract, the researchers noted that their study is ongoing. “It will be extended to a larger cohort to determine whether volume changes in specific [regions of interest] can act as useful clinical biomarkers for chronic symptoms,” they said.
Dr. Diaz-Arrastia received personal compensation from Neural Analytics, Inc; BrainBox Solutions, Inc; and Bioscience Pharma Partners. Dr. Diaz-Arrastia holds stock and/or stock options in Neural Analytics, Inc and has received research support from BrainBox Solutions. The other authors reported no other disclosures.
Glenn S. Williams, MDedge.com/neurology
What Other Drugs Do Patients Take When They Start MS Therapy?
Concomitant medication use is common when patients with multiple sclerosis (MS) start disease-modifying drugs (DMDs), according to research presented at the 2019 meeting of the Consortium of Multiple Sclerosis Centers. The likelihood of particular comorbidities and concomitant medications varies by age and sex, researchers reported.
“This may have implications for MS treatment,” said study author Jacqueline Nicholas, MD, MPH, of Ohio Multiple Sclerosis Center in Columbus and colleagues. “A better understanding of the effects of comorbidities and concomitant medications on the effectiveness and safety of DMDs is needed to support clinical decision making.”
Researchers have examined comorbidities in patients with MS, but concomitant medication use among patients starting DMDs is poorly understood, the authors said.
To study this question, Dr. Nicholas and colleagues analyzed retrospective administrative claims data from IQVIA Real-World Data Adjudicated Claims–US database from Jan. 1, 2010, to June 30, 2017. Their analysis included patients with ≥ 2 MS diagnosis claims and at least 1 DMD claim between Jan. 1, 2011, and June 30, 2015. Eligible patients were aged 18 to 63 years and had continuous eligibility with commercial insurance 1 year before and 2 years after DMD initiation. In addition, patients had no evidence of DMD use during the 1-year baseline period.
The investigators used International Classification of Diseases, 9th and 10th revisions, Clinical Modification codes and claims to evaluate patients’ comorbidities and concomitant medications during the study period.
The researchers identified 8,251 eligible patients. Patients had a mean age of 43.2 years, and 75.5% were female. Average baseline Charlson Comorbidity Index was 0.41. In the 2 years after DMD initiation, common comorbid diagnoses were hyperlipidemia (30.0%), hypertension (28.2%), gastrointestinal disorders (26.2%), depression (25.5%), and anxiety (20.1%).
Common concomitant medications included antibiotics (70.6%); analgesics (57.0%); corticosteroids (52.0%); antidepressants (47.7%); anticonvulsants (46.7%); anxiolytics, sedatives, or hypnotics (43.2%); spasticity medications (36.2%); and muscle relaxants (35.4%).
Most comorbidities and many medications, including bladder and antifatigue medications, were more common among patients aged ≥ 55 years. Hyperlipidemia, hypertension, and diabetes mellitus were more likely in males than in females. Females were more likely to have gastrointestinal disease, depression, thyroid disease, anxiety, lung disease, and arthritis. In addition, females were more likely than males to use many of the concomitant medications.
Dr. Nicholas disclosed grant support from EMD Serono. A coauthor is an employee of Health Services Consulting Corporation and received funding from EMD Serono to conduct the study. Other coauthors are employees of EMD Serono.
Jake Rem
Depression, Fatigue, Pain, and Anxiety Are Common in the Year After MS Diagnosis
In the 12 months after diagnosis, pain, fatigue, depression, and anxiety are common among patients with multiple sclerosis (MS), researchers reported at the 2019 meeting of the Consortium of Multiple Sclerosis Centers. In a novel study, about half of patients with MS reported clinically significant symptoms of depression or pain, and about 60% reported fatigue during that time.
Pain, fatigue, depression, and anxiety are common in MS, but their prevalence in the first year after diagnosis is not well understood. To examine the rates of these conditions and how often they co-occur during that period, Anna L. Kratz, PhD, associate professor of physical medicine and rehabilitation at the University of Michigan in Ann Arbor, and her research colleagues had 231 adults with MS complete validated surveys at 1, 2, 3, 6, 9, and 12 months after diagnosis to assess symptoms of these conditions.
Overall, 47.2% of patients reported clinically significant levels of depression, 38.5% reported clinically significant levels of anxiety, 50.4% reported clinically significant pain, and 62.2% reported clinically significant fatigue at any point during the year after diagnosis. “Of those who did not have clinically significant symptoms at time of diagnosis, 21.3% went on to develop clinically significant depression, 17.0% anxiety, 30.9% pain, and 34.1% fatigue,” the authors reported.
About 23% of patients did not have clinically significant symptoms for any condition, while 20% had clinically significant symptoms for 1 condition, 21% for 2, 19% for 3, and 17% for all 4. Depression and fatigue had the highest rate of comorbidity, whereas pain and anxiety had the lowest rate of comorbidity.
“Important clinical symptoms associated with MS are present at high levels in the first year post diagnosis,” Dr. Kratz and colleagues concluded. “While the rates and severity are marginally lower than have been identified in studies of individuals farther into the MS disease course, this study is a reminder that early MS intervention should incorporate interventions for these symptoms that are known to have strong associations with quality of life.”
The researchers had no disclosures.
Jake Remaly, MDedge.com/neurology
Experts Propose New Definition and Recommendations for Alzheimer-like Disorder
An international group of experts has proposed a new name, staging criteria, and recommendations for a recently recognized brain disorder that mimics Alzheimer disease and is marked by a proteinopathy caused by malformed transactive response DNA-binding protein of 43 kDa (TDP-43).
The term limbic-predominant age-related TDP-43 encephalopathy (LATE) was coined in an effort to raise awareness and kick-start research into this “pathway to dementia,” the experts wrote in a report appearing in Brain. “As there is currently no universally agreed-upon terminology or staging system for common age-related TDP-43 proteinopathy, this condition is understudied and not well recognized, even among investigators in the field of dementia research,” wrote the authors of the report, led by Peter T. Nelson, MD, PhD, of the University of Kentucky, Lexington.
LATE neuropathologic changes, associated with a progressive amnesia syndrome that mimics Alzheimer, are seen in > 20% of individuals aged > 80 years, according to large, community-based autopsy series. It coexists with Alzheimer disease in many patients, lowering the threshold for developing dementia, authors said.
The term LATE is designed to encompass several other terms related to TDP-43 pathology, including hippocampal sclerosis and cerebral age-related TDP-43 with sclerosis, Dr. Nelson and colleagues noted.
The TDP-43 protein is encoded by the TARDBP gene and provides several functions related to the regulation of gene expression, the authors wrote.
Misfolded TDP-43 was known to play a causative role in amyotrophic lateral sclerosis and frontotemporal lobar degeneration, the authors noted, and then was also identified in the brains of older individuals with hippocampal sclerosis or Alzheimer disease neuropathologic changes.
The authors proposed a 3-stage classification system for LATE neuropathologic change based on TDP-43 immunohistochemistry performed during routine autopsy evaluation of the amygdala, hippocampus, and middle frontal gyrus. The amygdala is an area affected early in the course of the disease (Stage 1), whereas involvement of the hippocampus represents a more intermediate stage (Stage 2), and the middle frontal gyrus is more affected in advanced stages of the disease (Stage 3), according to the schema.
Five genes have been identified with risk alleles for LATE neuropathologic changes, authors said. Of note, several groups have found that the apolipoprotein E ∑ 4 allele, known to be a risk factor for Alzheimer disease neuropathologic changes and Lewy body disease, is also linked to increased risk of TDP-43 proteinopathy.
There are no established biomarkers specific to TDP-43 proteinopathy yet, which hampers development of clinical trials designed to test interventions to treat or prevent LATE, Dr. Nelson and colleagues said in their report. LATE also could obscure the effects of potentially disease-modifying agents being tested in Alzheimer disease clinical trials, which can complicate the interpretation of study results, they added.
“Until there are biomarkers for LATE, clinical trials should be powered to account for TDP-43 proteinopathy,” they wrote. Dr. Nelson and coauthors reported no author disclosures.
Source: Nelson PT, Dickson DW, Trojanowski JQ, et al. Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report. Brain. 2019;142(6):1503-1527.
Andrew D. Bowser, MDedge.com/neurology
Modest Evidence for Benefit in Studies of Cannabis in MS
While several dozen studies have been conducted into cannabis-based treatments for symptoms of multiple sclerosis (MS), a new systematic review deems most to be of fair to poor quality. Reviewers found modest evidence of benefit and plenty of room for more research.
“Cannabis-based medicine may be useful for refractory MS symptoms, especially spasticity and pain, and side effects are usually well tolerated,” study lead author Natasha Breward, a graduate student at the College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, said in an interview. Breward spoke prior to the presentation of the study findings at the 2019 meeting of the Consortium of Multiple Sclerosis Centers.
For the review, Breward and colleagues focused on 60 studies—26 randomized controlled trials and 34 trials with other designs. Forty of the studies used nabiximols, an oromucosal spray that is derived from the cannabis sativa plant and approved for use in multiple countries but not yet in the US.
According to Breward, some of the other treatments included dried cannabis that is smoked or eaten and cannabidiol that’s typically delivered with tetrahydrocannabinol (THC) either oromucosally or as an oral capsule.
MS symptoms treated in the studies included spasticity (n = 29), pain (n = 8), and cognition (n = 6). The researchers considered 22 studies to be poor quality, 14 to be fair quality, and 24 to be good/excellent quality.
The researchers found that the cannabis-based medicine “significantly reduced spasticity and pain in several individual good-quality studies,” Breward said. The drugs seem to work by inhibiting neurotransmitter release via cannabinoids. “However, the variability in study quality—and in the products and regimens studied—make it hard to draw any conclusions about specific products and doses that may have the most potential benefit,” she added.
“Further research should focus on the use of different products and formulations of cannabis-based medicine such as cannabis oil and cannabidiol-prominent products, as no studies have focused on this area,” she said. “Research should also look at the potential of cannabis-based medicine for the treatment of disease progression, as cannabinoids are anti-inflammatory and immunomodulatory. Finally, more research regarding the potentially synergistic effects of cannabis-based medicine administered with current MS medications would also be useful.”
Randy Dotinga, MDedge.com/neurology
Brain Volumes After TBI Correlate With Clinical Features
Brain volumes of specific regions of interest can be used to classify traumatic brain injury subjects that fall into predetermined symptom categories, according to a study presented at the annual meeting of the American Academy of Neurology.
Traumatic brain injury (TBI) damages brain tissue and causes subsequent volume loss, which may result in clinical symptoms. It is a prevalent worldwide health problem caused by a mechanical insult to the head, resulting in transient or permanent alteration to brain tissue and/or function. Standard neuroimaging with computed cranial tomography (CT) and structural magnetic resonance imaging (MRI) is often unrevealing during the evaluation of patients with TBI, particularly those classified as mild TBI.
In this study, James Rock, MD, of Penn Presbyterian Medical Center and the University of Pennsylvania, and colleagues sought to examine the value of quantitative analysis of regional brain volumes in the evaluation of TBI. The investigators reviewed the medical records and MRI imaging from 44 patients with TBI evaluated at a Level I trauma center. They also read clinical notes to assess reported symptoms and physical findings.
Regional volumes from TBI subjects were derived using the software package Freesurfer image analysis suite (surfer.nmr.mgh.harvard.edu), which utilizes a T1-weighted structural scan to calculate volumetric information. A machine learning algorithm, random forests, was employed across volume measurements from 25 regions of interest to determine the most important regions for classifying subjects based on clinical outcome and symptomology.
Basal ganglia volume showed the highest variable importance with regards to classifying subjects who exhibited symptoms of cognitive dysfunction in quantitative analysis. Left lateral ventricle volume was important in classifying subjects with motor and vestibular alterations. Left choroid plexus volume was the most important region for classifying subjects with sensation and somatic dysfunction.
In an abstract, the researchers noted that their study is ongoing. “It will be extended to a larger cohort to determine whether volume changes in specific [regions of interest] can act as useful clinical biomarkers for chronic symptoms,” they said.
Dr. Diaz-Arrastia received personal compensation from Neural Analytics, Inc; BrainBox Solutions, Inc; and Bioscience Pharma Partners. Dr. Diaz-Arrastia holds stock and/or stock options in Neural Analytics, Inc and has received research support from BrainBox Solutions. The other authors reported no other disclosures.
Glenn S. Williams, MDedge.com/neurology
What Other Drugs Do Patients Take When They Start MS Therapy?
Concomitant medication use is common when patients with multiple sclerosis (MS) start disease-modifying drugs (DMDs), according to research presented at the 2019 meeting of the Consortium of Multiple Sclerosis Centers. The likelihood of particular comorbidities and concomitant medications varies by age and sex, researchers reported.
“This may have implications for MS treatment,” said study author Jacqueline Nicholas, MD, MPH, of Ohio Multiple Sclerosis Center in Columbus and colleagues. “A better understanding of the effects of comorbidities and concomitant medications on the effectiveness and safety of DMDs is needed to support clinical decision making.”
Researchers have examined comorbidities in patients with MS, but concomitant medication use among patients starting DMDs is poorly understood, the authors said.
To study this question, Dr. Nicholas and colleagues analyzed retrospective administrative claims data from IQVIA Real-World Data Adjudicated Claims–US database from Jan. 1, 2010, to June 30, 2017. Their analysis included patients with ≥ 2 MS diagnosis claims and at least 1 DMD claim between Jan. 1, 2011, and June 30, 2015. Eligible patients were aged 18 to 63 years and had continuous eligibility with commercial insurance 1 year before and 2 years after DMD initiation. In addition, patients had no evidence of DMD use during the 1-year baseline period.
The investigators used International Classification of Diseases, 9th and 10th revisions, Clinical Modification codes and claims to evaluate patients’ comorbidities and concomitant medications during the study period.
The researchers identified 8,251 eligible patients. Patients had a mean age of 43.2 years, and 75.5% were female. Average baseline Charlson Comorbidity Index was 0.41. In the 2 years after DMD initiation, common comorbid diagnoses were hyperlipidemia (30.0%), hypertension (28.2%), gastrointestinal disorders (26.2%), depression (25.5%), and anxiety (20.1%).
Common concomitant medications included antibiotics (70.6%); analgesics (57.0%); corticosteroids (52.0%); antidepressants (47.7%); anticonvulsants (46.7%); anxiolytics, sedatives, or hypnotics (43.2%); spasticity medications (36.2%); and muscle relaxants (35.4%).
Most comorbidities and many medications, including bladder and antifatigue medications, were more common among patients aged ≥ 55 years. Hyperlipidemia, hypertension, and diabetes mellitus were more likely in males than in females. Females were more likely to have gastrointestinal disease, depression, thyroid disease, anxiety, lung disease, and arthritis. In addition, females were more likely than males to use many of the concomitant medications.
Dr. Nicholas disclosed grant support from EMD Serono. A coauthor is an employee of Health Services Consulting Corporation and received funding from EMD Serono to conduct the study. Other coauthors are employees of EMD Serono.
Jake Rem
Depression, Fatigue, Pain, and Anxiety Are Common in the Year After MS Diagnosis
In the 12 months after diagnosis, pain, fatigue, depression, and anxiety are common among patients with multiple sclerosis (MS), researchers reported at the 2019 meeting of the Consortium of Multiple Sclerosis Centers. In a novel study, about half of patients with MS reported clinically significant symptoms of depression or pain, and about 60% reported fatigue during that time.
Pain, fatigue, depression, and anxiety are common in MS, but their prevalence in the first year after diagnosis is not well understood. To examine the rates of these conditions and how often they co-occur during that period, Anna L. Kratz, PhD, associate professor of physical medicine and rehabilitation at the University of Michigan in Ann Arbor, and her research colleagues had 231 adults with MS complete validated surveys at 1, 2, 3, 6, 9, and 12 months after diagnosis to assess symptoms of these conditions.
Overall, 47.2% of patients reported clinically significant levels of depression, 38.5% reported clinically significant levels of anxiety, 50.4% reported clinically significant pain, and 62.2% reported clinically significant fatigue at any point during the year after diagnosis. “Of those who did not have clinically significant symptoms at time of diagnosis, 21.3% went on to develop clinically significant depression, 17.0% anxiety, 30.9% pain, and 34.1% fatigue,” the authors reported.
About 23% of patients did not have clinically significant symptoms for any condition, while 20% had clinically significant symptoms for 1 condition, 21% for 2, 19% for 3, and 17% for all 4. Depression and fatigue had the highest rate of comorbidity, whereas pain and anxiety had the lowest rate of comorbidity.
“Important clinical symptoms associated with MS are present at high levels in the first year post diagnosis,” Dr. Kratz and colleagues concluded. “While the rates and severity are marginally lower than have been identified in studies of individuals farther into the MS disease course, this study is a reminder that early MS intervention should incorporate interventions for these symptoms that are known to have strong associations with quality of life.”
The researchers had no disclosures.
Jake Remaly, MDedge.com/neurology
Experts Propose New Definition and Recommendations for Alzheimer-like Disorder
An international group of experts has proposed a new name, staging criteria, and recommendations for a recently recognized brain disorder that mimics Alzheimer disease and is marked by a proteinopathy caused by malformed transactive response DNA-binding protein of 43 kDa (TDP-43).
The term limbic-predominant age-related TDP-43 encephalopathy (LATE) was coined in an effort to raise awareness and kick-start research into this “pathway to dementia,” the experts wrote in a report appearing in Brain. “As there is currently no universally agreed-upon terminology or staging system for common age-related TDP-43 proteinopathy, this condition is understudied and not well recognized, even among investigators in the field of dementia research,” wrote the authors of the report, led by Peter T. Nelson, MD, PhD, of the University of Kentucky, Lexington.
LATE neuropathologic changes, associated with a progressive amnesia syndrome that mimics Alzheimer, are seen in > 20% of individuals aged > 80 years, according to large, community-based autopsy series. It coexists with Alzheimer disease in many patients, lowering the threshold for developing dementia, authors said.
The term LATE is designed to encompass several other terms related to TDP-43 pathology, including hippocampal sclerosis and cerebral age-related TDP-43 with sclerosis, Dr. Nelson and colleagues noted.
The TDP-43 protein is encoded by the TARDBP gene and provides several functions related to the regulation of gene expression, the authors wrote.
Misfolded TDP-43 was known to play a causative role in amyotrophic lateral sclerosis and frontotemporal lobar degeneration, the authors noted, and then was also identified in the brains of older individuals with hippocampal sclerosis or Alzheimer disease neuropathologic changes.
The authors proposed a 3-stage classification system for LATE neuropathologic change based on TDP-43 immunohistochemistry performed during routine autopsy evaluation of the amygdala, hippocampus, and middle frontal gyrus. The amygdala is an area affected early in the course of the disease (Stage 1), whereas involvement of the hippocampus represents a more intermediate stage (Stage 2), and the middle frontal gyrus is more affected in advanced stages of the disease (Stage 3), according to the schema.
Five genes have been identified with risk alleles for LATE neuropathologic changes, authors said. Of note, several groups have found that the apolipoprotein E ∑ 4 allele, known to be a risk factor for Alzheimer disease neuropathologic changes and Lewy body disease, is also linked to increased risk of TDP-43 proteinopathy.
There are no established biomarkers specific to TDP-43 proteinopathy yet, which hampers development of clinical trials designed to test interventions to treat or prevent LATE, Dr. Nelson and colleagues said in their report. LATE also could obscure the effects of potentially disease-modifying agents being tested in Alzheimer disease clinical trials, which can complicate the interpretation of study results, they added.
“Until there are biomarkers for LATE, clinical trials should be powered to account for TDP-43 proteinopathy,” they wrote. Dr. Nelson and coauthors reported no author disclosures.
Source: Nelson PT, Dickson DW, Trojanowski JQ, et al. Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report. Brain. 2019;142(6):1503-1527.
Andrew D. Bowser, MDedge.com/neurology
Proton Pump Inhibitor Use and Risk of Dementia in the Veteran Population (FULL)
Proton pump inhibitors (PPIs) have become the mainstay of therapy in the treatment of acid-related disorders since their introduction in 1989. Due to their high potency, excellent tolerability, and generic availability, PPIs have largely replaced histamine-2 receptor antagonists for gastric problems. Since they were first released on the market, the use of PPIs has continued to rise in both the hospital and primary care settings.1 However, this rapid growth has led to the concern of overutilization. A study conducted at the Department of Veterans Affairs (VA) Ann Arbor Health Care System found that out of 946 patients in the ambulatory care setting taking PPIs, only 35% were appropriately prescribed PPIs.2
Although the short-term adverse effects of PPI use seem minimal, chronic PPI use consequences are a growing concern. Chronic PPI use is associated with increased risks of osteoporosis, pneumonia, and Clostridium difficile infections.3 Another long-term risk that has been associated with chronic PPI use is dementia. Dementia is a cognitive syndrome that is characterized by a progressive decline beyond what is expected in normal aging in 1 or more of the cognitive domains of memory, language, orientation, learning capacity, executive function, or social cognition.4 Because it interferes with activities of daily living, dementia is a major cause of disability in the elderly and is an immense burden for caregivers. Currently, about 47 million people globally live with dementia.5 This number is projected to nearly triple by 2050 to 132 million.5 With no cure, identification of risk factors and creation of protective measures are critical in decreasing the prevalence of dementia.
Although the exact pathophysiology behind the link between PPIs and dementia is unknown, several theories exist. One such theory is that PPI-induced vitamin B12 deficiency leads to cognitive decline.6,7 Another theory suggests that PPIs can directly cause dementia by inhibiting enzymes that normally degrade β amyloid.8 This leads to increased levels of β-amyloid plaques, which is a known characteristic of dementia patients. This theory is derived from animal studies that have shown increased amyloid levels in the brains of mice given PPIs.8
Current studies are conflicting regarding the association between PPIs and dementia. Two German prospective, cohort studies found statistically significant increased risks of dementia in patients taking PPIs with hazard ratios (HR) of 1.38 (95% CI, 1.04-1.83) and 1.44 (95% CI, 1.36-1.52), respectively.9,10 A study conducted in Taiwan also found an increased risk of dementia among PPI users with a HR of 1.22 (95% CI, 1.05-1.42).11 On the contrary, other studies have failed to show an increased risk of dementia with PPI use. In fact, Goldstein and colleagues found a decreased risk of dementia in PPI users with a HR of 0.78 (95% CI, 0.76-0.93).12 This study was an observational study conducted in the US using data from the National Alzheimer’s Coordinating Center database.12 Another recent retrospective study conducted in Finland showed that PPI use was not associated with a significantly increased risk of Alzheimer disease.13
Much is unknown about the cause of dementia, and no curative treatment exists. Investigation into potential risk factors for dementia can lead to the development of preventative measures, which can lead to significant improvement in quality of life for both patients and caregivers. Current studies regarding the association between PPIs and dementia are conflicting, and to our knowledge, no study analyzing the effects of PPIs and dementia has been conducted within the veteran population specifically. The objective of the current study is to investigate the association between PPI use and dementia in the veteran population.
Methods
This study is a retrospective, cohort, single-center, chart review study conducted at the Sioux Falls Veteran Affairs Health Care System (SFVAHCS). Data were extracted from the VA electronic health record (EHR) from January 1, 2005 through December 31, 2015. The study included both currently living and deceased veterans who received ≥ 2 documented outpatient visits at the SFVAHCS during the study time frame. Patients also had to be aged ≥ 60 years at the start of the study period. Patients were excluded if they received only a ≤ 30-day PPI prescription. Patients with dementia related to head trauma, acute intoxication, or other known diseases were excluded.
To analyze the primary endpoint of association between PPI use and dementia, the study compared the rate of dementia in a cohort of veterans who had received an outpatient prescription for a PPI within the study time frame vs the rate of dementia in a random, equal number of veterans who had never been prescribed PPIs within the study time frame. In this study, veterans were classified as having dementia if they had a diagnosis of dementia based on ICD-9 or ICD-10 codes (Table 1), or if they had been prescribed medications used to treat dementia (donepezil, ergoloid mesylates, galantamine, memantine, and rivastigmine).
Secondary endpoints included analysis of the effects of PPI agent, PPI dose, and PPI duration on the risk of dementia. For the PPI dose analysis, cumulative doses were converted into defined daily doses (DDDs) using the World Health Organization calculation to equalize the different potencies of PPI agents (Table 2).14 In addition, the effect of PPI use on vitamin B12 levels was analyzed as an exploratory endpoint to investigate the hypothesis that PPI may be associated with vitamin B12 deficiency, which in turn may be associated with dementia.6,7
Baseline characteristics were collected to determine the variability between the treatment and control group. Data collected included age, gender, past medical history of diseases that may increase risk of dementia, and anticholinergic drug use. Anticholinergic drugs were included if they were classified as having “definite anticholinergic effects” based on the Aging Brain Care Anticholinergic Burden Scale (Appendix).15
Statistical Analysis
The primary endpoint was analyzed using a χ2 for association test. For the secondary endpoints, a χ2 for association test was used for endpoints with nominal data, and the Mood median test was used for endpoints with continuous data. The exploratory endpoint analyzing vitamin B12 levels was analyzed with the Mood median test. A P value of < .05 was defined as being statistically significant. Power analysis was not performed since all veterans who met the criteria were included in the study.
Results
Records of 23,656 veterans were included in the study with 11,828 veterans in both the PPI cohort and the non-PPI cohort (Table 3).
Primary Endpoint
Within the PPI group, 1,119 (9.5%) veterans had dementia compared with only 740 (6.3%) veterans in the non-PPI group. There was a statistically significant association between PPI use and dementia (P < .001). These results yielded an odds ratio of 1.55 for dementia risk in PPI users vs nonusers and a relative risk increase of 51.4% for dementia risk with PPI use compared with no PPI use.
Secondary Endpoints
Users of rabeprazole had the highest rate of dementia (12.8%), followed by lansoprazole (10.9%), omeprazole (9.7%), esomeprazole (7.7%), and pantoprazole (7.0%). The rate of dementia for non-PPI users was 6.3% (P < .001). The median cumulative doses of PPIs were not significant: 597 DDDs (95% CI, 540-630) in the dementia group vs 570 DDDs (95% CI, 540-624) in the nondementia group (P = .79). The median cumulative duration of PPI use in the dementia group was 4.6 years (95% CI, 4.25-4.92) vs 5.3 years (95% CI, 5.08-5.42) in the nondementia group (P < .001).
Exploratory Endpoint
The median B12 level in the PPI group was 521 pg/mL (95% CI, 509-533) compared with 480 pg/mL (95% CI, 465-496) in the non-PPI group (P < .001). However, both groups fell within the normal range for vitamin B12 (200-900 pg/mL).16
Discussion
The aim of this study was to determine whether an association existed between PPI use and dementia. This study showed a statistically significant association between PPI use and dementia within the veteran population. This study also showed a significant association between specific PPI agents and dementia. When analyzing the individual PPI agents, the rabeprazole group yielded the strongest relationship. However, this study was not powered to evaluate and compare risks of dementia between individual PPI agents. More data are needed to determine statistical and clinical significance of associations between individual PPI agents and risk of dementia.
The veterans with dementia had a higher median cumulative PPI dose than did the veterans without dementia; however, the results were not statistically significant. Therefore, the data cannot correlate higher doses of PPI use to increased risk of dementia.
The cumulative duration of PPI use was statistically significant but opposite of the expected outcome. The dementia group had a lower median lifetime duration of PPI use compared with that of the nondementia group. It is difficult to determine the reason for this outcome, but it seems that for this study population, a longer duration of PPI use was not associated with an increased risk of dementia.
Finally, the exploratory endpoint analyzed vitamin B12 levels, since it has been shown that PPI use can lead to vitamin B12 deficiency and that B12 deficiency can lead to dementia.6-8 This study found that the dementia group had significantly higher vitamin B12 levels than the nondementia group. These data suggest that PPI use may not be associated with vitamin B12 deficiency. However, it is important to note that this study was unable to collect data on the use of vitamin B12 supplementation due to the unreliability of over-the-counter (OTC) and non-VA medication use records. Therefore, it is possible that the PPI group had higher rates of B12 deficiency but were effectively treated with B12 supplementation. More research is needed to determine the exact relationship between PPI use, vitamin B12 deficiency, and dementia risk.
Strengths/Limitations
Strengths of this study that support its findings include the large population size. Additionally, the use of the VA EHR allowed for a complete drug dispensing history to be collected, which improves reliability of the data.
This study also had some limitations. First, the causal relationship of PPI use and dementia cannot be proven using a retrospective cohort design. This study’s design can show association, but it cannot prove causation. Also, due to the retrospective design, exposure to PPI use could not be randomized; thus, correlation between PPI use and dementia may be explained by confounding variables that are not captured within this study. This is especially true since the baseline characteristics were not equally distributed between the 2 groups. In fact, the PPI group had higher rates of many clinical comorbidities. This imbalance may have skewed the results of the primary endpoint. Lastly, OTC PPI use and non-VA PPI prescriptions were not available. Therefore, some of the patients included in the non-PPI group may have been PPI users if they received PPIs from OTC or non-VA sources, which could skew the results.
Conclusion
This study showed a significant association between PPI use and dementia within the veteran study population. The study also showed a significant association between PPI use and dementia within the secondary endpoint of individual PPI agent. Higher cumulative dose and duration of PPI use did not seem to increase risk of dementia. Finally, PPI use was not associated with significantly low vitamin B12 levels. More studies are needed to determine causation of dementia and its risk factors.
Acknowledgments
This material is the result of work supported with resources and the use of facilities at the Sioux Falls VA Health Care System.
1. Savarino V, Dulbecco P, de Bortoli N, Ottonello A, Savarino E. The appropriate use of proton pump inhibitors (PPIs): need for a reappraisal. Eur J Intern Med. 2017;37:19-24.
2. Heidelbaugh J, Goldberg K, Inadomi J. Magnitude and economic effect of overuse of antisecretory therapy in the ambulatory care setting. Am J Manag Care. 2010;16(9):e228-e234.
3. Heidelbaugh JJ, Kim AH, Chang R. Walker PC. Overutilization of proton-pump inhibitors: what the clinician needs to know. Therap Adv Gastroenterol. 2012;5(4):219-232.
4. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, (DSM-5). American Psychiatric Association: Washington, DC; 2013.
5. World Health Organization. Dementia. http://www.who.int/mediacentre/factsheets/fs362/en/. Published December 12, 2017. Accessed March 10, 2019.
6. Vogiatzoglou A, Smith AD, Nurk E, et al. Cognitive function in an elderly population: interaction between vitamin B12 status, depression, and apolipoprotein E ε4: the Hordaland Homocysteine Study. Psychosom Med. 2013;75(1):20-29.
7. Lam JR, Schneider JL, Zhao W, Corley DA. Proton pump inhibitor and histamine 2 receptor antagonist use and vitamin B12 deficiency. JAMA. 2013;310(22):2435-2442.
8. Badiola N, Alcalde V, Pujol A, et al. The proton-pump inhibitor lansoprazole enhances amyloid beta production. PLoS One. 2013;8(3):e58837.
9. Haenisch B, von Holt K, Wiese B, et al. Risk of dementia in elderly patients with the use of proton pump inhibitors. Eur Arch Psychiatry Clin Neurosci. 2015;265(5):419-428.
10. Gomm W, von Holt K, Thomé F, et al. Association between proton pump inhibitors with risk of dementia. A pharmacoepidemiological claims data analysis. JAMA Neurol. 2016;73(4):410-416.
11. Tai SY, Chien CY, Wu DC, et al. Risk of dementia from proton pump inhibitor use in Asian population: a nationwide cohort study in Taiwan. PLoS One. 2017;12(2):e0171006.
12. Goldstein FC, Steenland K, Zhao L, Wharton W, Levey AI, Hajjar I. Proton pump inhibitors and risk of mild cognitive impairment and dementia. J Am Geriatr Soc. 2017;65(9):1969-1674.
13. Taipale H, Tolppanen AM, Tiihonen M. Tanskanen A, Tiihonen J, Hartikainen S. No association between proton pump inhibitor use and risk of Alzheimer’s disease. Am J Gastroenterol. 2017;112(12):1801-1808.
14. World Health Organization Collaborating Centre for Drug Statistics Methodology. Definition and general considerations. https://www.whocc.no/ddd/definition_and_general_considera/. Updated February 7, 2018. Accessed March 13, 2019.
15. Indiana University Center for Aging Research, Aging Brain Program. Anticholinergic cognitive burden scale. http://www.idhca.org/wp-content/uploads/2018/02/DESAI_ACB_scale_-_Legal_size_paper.pdf. Updated 2012. Accessed March 10, 2019.
16. US National Library of Medicine, MedlinePlus. Vitamin B12 level. https://medlineplus.gov/ency/article/003705.htm. Updated March 7, 2019. Accessed March 13, 2019.
Proton pump inhibitors (PPIs) have become the mainstay of therapy in the treatment of acid-related disorders since their introduction in 1989. Due to their high potency, excellent tolerability, and generic availability, PPIs have largely replaced histamine-2 receptor antagonists for gastric problems. Since they were first released on the market, the use of PPIs has continued to rise in both the hospital and primary care settings.1 However, this rapid growth has led to the concern of overutilization. A study conducted at the Department of Veterans Affairs (VA) Ann Arbor Health Care System found that out of 946 patients in the ambulatory care setting taking PPIs, only 35% were appropriately prescribed PPIs.2
Although the short-term adverse effects of PPI use seem minimal, chronic PPI use consequences are a growing concern. Chronic PPI use is associated with increased risks of osteoporosis, pneumonia, and Clostridium difficile infections.3 Another long-term risk that has been associated with chronic PPI use is dementia. Dementia is a cognitive syndrome that is characterized by a progressive decline beyond what is expected in normal aging in 1 or more of the cognitive domains of memory, language, orientation, learning capacity, executive function, or social cognition.4 Because it interferes with activities of daily living, dementia is a major cause of disability in the elderly and is an immense burden for caregivers. Currently, about 47 million people globally live with dementia.5 This number is projected to nearly triple by 2050 to 132 million.5 With no cure, identification of risk factors and creation of protective measures are critical in decreasing the prevalence of dementia.
Although the exact pathophysiology behind the link between PPIs and dementia is unknown, several theories exist. One such theory is that PPI-induced vitamin B12 deficiency leads to cognitive decline.6,7 Another theory suggests that PPIs can directly cause dementia by inhibiting enzymes that normally degrade β amyloid.8 This leads to increased levels of β-amyloid plaques, which is a known characteristic of dementia patients. This theory is derived from animal studies that have shown increased amyloid levels in the brains of mice given PPIs.8
Current studies are conflicting regarding the association between PPIs and dementia. Two German prospective, cohort studies found statistically significant increased risks of dementia in patients taking PPIs with hazard ratios (HR) of 1.38 (95% CI, 1.04-1.83) and 1.44 (95% CI, 1.36-1.52), respectively.9,10 A study conducted in Taiwan also found an increased risk of dementia among PPI users with a HR of 1.22 (95% CI, 1.05-1.42).11 On the contrary, other studies have failed to show an increased risk of dementia with PPI use. In fact, Goldstein and colleagues found a decreased risk of dementia in PPI users with a HR of 0.78 (95% CI, 0.76-0.93).12 This study was an observational study conducted in the US using data from the National Alzheimer’s Coordinating Center database.12 Another recent retrospective study conducted in Finland showed that PPI use was not associated with a significantly increased risk of Alzheimer disease.13
Much is unknown about the cause of dementia, and no curative treatment exists. Investigation into potential risk factors for dementia can lead to the development of preventative measures, which can lead to significant improvement in quality of life for both patients and caregivers. Current studies regarding the association between PPIs and dementia are conflicting, and to our knowledge, no study analyzing the effects of PPIs and dementia has been conducted within the veteran population specifically. The objective of the current study is to investigate the association between PPI use and dementia in the veteran population.
Methods
This study is a retrospective, cohort, single-center, chart review study conducted at the Sioux Falls Veteran Affairs Health Care System (SFVAHCS). Data were extracted from the VA electronic health record (EHR) from January 1, 2005 through December 31, 2015. The study included both currently living and deceased veterans who received ≥ 2 documented outpatient visits at the SFVAHCS during the study time frame. Patients also had to be aged ≥ 60 years at the start of the study period. Patients were excluded if they received only a ≤ 30-day PPI prescription. Patients with dementia related to head trauma, acute intoxication, or other known diseases were excluded.
To analyze the primary endpoint of association between PPI use and dementia, the study compared the rate of dementia in a cohort of veterans who had received an outpatient prescription for a PPI within the study time frame vs the rate of dementia in a random, equal number of veterans who had never been prescribed PPIs within the study time frame. In this study, veterans were classified as having dementia if they had a diagnosis of dementia based on ICD-9 or ICD-10 codes (Table 1), or if they had been prescribed medications used to treat dementia (donepezil, ergoloid mesylates, galantamine, memantine, and rivastigmine).
Secondary endpoints included analysis of the effects of PPI agent, PPI dose, and PPI duration on the risk of dementia. For the PPI dose analysis, cumulative doses were converted into defined daily doses (DDDs) using the World Health Organization calculation to equalize the different potencies of PPI agents (Table 2).14 In addition, the effect of PPI use on vitamin B12 levels was analyzed as an exploratory endpoint to investigate the hypothesis that PPI may be associated with vitamin B12 deficiency, which in turn may be associated with dementia.6,7
Baseline characteristics were collected to determine the variability between the treatment and control group. Data collected included age, gender, past medical history of diseases that may increase risk of dementia, and anticholinergic drug use. Anticholinergic drugs were included if they were classified as having “definite anticholinergic effects” based on the Aging Brain Care Anticholinergic Burden Scale (Appendix).15
Statistical Analysis
The primary endpoint was analyzed using a χ2 for association test. For the secondary endpoints, a χ2 for association test was used for endpoints with nominal data, and the Mood median test was used for endpoints with continuous data. The exploratory endpoint analyzing vitamin B12 levels was analyzed with the Mood median test. A P value of < .05 was defined as being statistically significant. Power analysis was not performed since all veterans who met the criteria were included in the study.
Results
Records of 23,656 veterans were included in the study with 11,828 veterans in both the PPI cohort and the non-PPI cohort (Table 3).
Primary Endpoint
Within the PPI group, 1,119 (9.5%) veterans had dementia compared with only 740 (6.3%) veterans in the non-PPI group. There was a statistically significant association between PPI use and dementia (P < .001). These results yielded an odds ratio of 1.55 for dementia risk in PPI users vs nonusers and a relative risk increase of 51.4% for dementia risk with PPI use compared with no PPI use.
Secondary Endpoints
Users of rabeprazole had the highest rate of dementia (12.8%), followed by lansoprazole (10.9%), omeprazole (9.7%), esomeprazole (7.7%), and pantoprazole (7.0%). The rate of dementia for non-PPI users was 6.3% (P < .001). The median cumulative doses of PPIs were not significant: 597 DDDs (95% CI, 540-630) in the dementia group vs 570 DDDs (95% CI, 540-624) in the nondementia group (P = .79). The median cumulative duration of PPI use in the dementia group was 4.6 years (95% CI, 4.25-4.92) vs 5.3 years (95% CI, 5.08-5.42) in the nondementia group (P < .001).
Exploratory Endpoint
The median B12 level in the PPI group was 521 pg/mL (95% CI, 509-533) compared with 480 pg/mL (95% CI, 465-496) in the non-PPI group (P < .001). However, both groups fell within the normal range for vitamin B12 (200-900 pg/mL).16
Discussion
The aim of this study was to determine whether an association existed between PPI use and dementia. This study showed a statistically significant association between PPI use and dementia within the veteran population. This study also showed a significant association between specific PPI agents and dementia. When analyzing the individual PPI agents, the rabeprazole group yielded the strongest relationship. However, this study was not powered to evaluate and compare risks of dementia between individual PPI agents. More data are needed to determine statistical and clinical significance of associations between individual PPI agents and risk of dementia.
The veterans with dementia had a higher median cumulative PPI dose than did the veterans without dementia; however, the results were not statistically significant. Therefore, the data cannot correlate higher doses of PPI use to increased risk of dementia.
The cumulative duration of PPI use was statistically significant but opposite of the expected outcome. The dementia group had a lower median lifetime duration of PPI use compared with that of the nondementia group. It is difficult to determine the reason for this outcome, but it seems that for this study population, a longer duration of PPI use was not associated with an increased risk of dementia.
Finally, the exploratory endpoint analyzed vitamin B12 levels, since it has been shown that PPI use can lead to vitamin B12 deficiency and that B12 deficiency can lead to dementia.6-8 This study found that the dementia group had significantly higher vitamin B12 levels than the nondementia group. These data suggest that PPI use may not be associated with vitamin B12 deficiency. However, it is important to note that this study was unable to collect data on the use of vitamin B12 supplementation due to the unreliability of over-the-counter (OTC) and non-VA medication use records. Therefore, it is possible that the PPI group had higher rates of B12 deficiency but were effectively treated with B12 supplementation. More research is needed to determine the exact relationship between PPI use, vitamin B12 deficiency, and dementia risk.
Strengths/Limitations
Strengths of this study that support its findings include the large population size. Additionally, the use of the VA EHR allowed for a complete drug dispensing history to be collected, which improves reliability of the data.
This study also had some limitations. First, the causal relationship of PPI use and dementia cannot be proven using a retrospective cohort design. This study’s design can show association, but it cannot prove causation. Also, due to the retrospective design, exposure to PPI use could not be randomized; thus, correlation between PPI use and dementia may be explained by confounding variables that are not captured within this study. This is especially true since the baseline characteristics were not equally distributed between the 2 groups. In fact, the PPI group had higher rates of many clinical comorbidities. This imbalance may have skewed the results of the primary endpoint. Lastly, OTC PPI use and non-VA PPI prescriptions were not available. Therefore, some of the patients included in the non-PPI group may have been PPI users if they received PPIs from OTC or non-VA sources, which could skew the results.
Conclusion
This study showed a significant association between PPI use and dementia within the veteran study population. The study also showed a significant association between PPI use and dementia within the secondary endpoint of individual PPI agent. Higher cumulative dose and duration of PPI use did not seem to increase risk of dementia. Finally, PPI use was not associated with significantly low vitamin B12 levels. More studies are needed to determine causation of dementia and its risk factors.
Acknowledgments
This material is the result of work supported with resources and the use of facilities at the Sioux Falls VA Health Care System.
Proton pump inhibitors (PPIs) have become the mainstay of therapy in the treatment of acid-related disorders since their introduction in 1989. Due to their high potency, excellent tolerability, and generic availability, PPIs have largely replaced histamine-2 receptor antagonists for gastric problems. Since they were first released on the market, the use of PPIs has continued to rise in both the hospital and primary care settings.1 However, this rapid growth has led to the concern of overutilization. A study conducted at the Department of Veterans Affairs (VA) Ann Arbor Health Care System found that out of 946 patients in the ambulatory care setting taking PPIs, only 35% were appropriately prescribed PPIs.2
Although the short-term adverse effects of PPI use seem minimal, chronic PPI use consequences are a growing concern. Chronic PPI use is associated with increased risks of osteoporosis, pneumonia, and Clostridium difficile infections.3 Another long-term risk that has been associated with chronic PPI use is dementia. Dementia is a cognitive syndrome that is characterized by a progressive decline beyond what is expected in normal aging in 1 or more of the cognitive domains of memory, language, orientation, learning capacity, executive function, or social cognition.4 Because it interferes with activities of daily living, dementia is a major cause of disability in the elderly and is an immense burden for caregivers. Currently, about 47 million people globally live with dementia.5 This number is projected to nearly triple by 2050 to 132 million.5 With no cure, identification of risk factors and creation of protective measures are critical in decreasing the prevalence of dementia.
Although the exact pathophysiology behind the link between PPIs and dementia is unknown, several theories exist. One such theory is that PPI-induced vitamin B12 deficiency leads to cognitive decline.6,7 Another theory suggests that PPIs can directly cause dementia by inhibiting enzymes that normally degrade β amyloid.8 This leads to increased levels of β-amyloid plaques, which is a known characteristic of dementia patients. This theory is derived from animal studies that have shown increased amyloid levels in the brains of mice given PPIs.8
Current studies are conflicting regarding the association between PPIs and dementia. Two German prospective, cohort studies found statistically significant increased risks of dementia in patients taking PPIs with hazard ratios (HR) of 1.38 (95% CI, 1.04-1.83) and 1.44 (95% CI, 1.36-1.52), respectively.9,10 A study conducted in Taiwan also found an increased risk of dementia among PPI users with a HR of 1.22 (95% CI, 1.05-1.42).11 On the contrary, other studies have failed to show an increased risk of dementia with PPI use. In fact, Goldstein and colleagues found a decreased risk of dementia in PPI users with a HR of 0.78 (95% CI, 0.76-0.93).12 This study was an observational study conducted in the US using data from the National Alzheimer’s Coordinating Center database.12 Another recent retrospective study conducted in Finland showed that PPI use was not associated with a significantly increased risk of Alzheimer disease.13
Much is unknown about the cause of dementia, and no curative treatment exists. Investigation into potential risk factors for dementia can lead to the development of preventative measures, which can lead to significant improvement in quality of life for both patients and caregivers. Current studies regarding the association between PPIs and dementia are conflicting, and to our knowledge, no study analyzing the effects of PPIs and dementia has been conducted within the veteran population specifically. The objective of the current study is to investigate the association between PPI use and dementia in the veteran population.
Methods
This study is a retrospective, cohort, single-center, chart review study conducted at the Sioux Falls Veteran Affairs Health Care System (SFVAHCS). Data were extracted from the VA electronic health record (EHR) from January 1, 2005 through December 31, 2015. The study included both currently living and deceased veterans who received ≥ 2 documented outpatient visits at the SFVAHCS during the study time frame. Patients also had to be aged ≥ 60 years at the start of the study period. Patients were excluded if they received only a ≤ 30-day PPI prescription. Patients with dementia related to head trauma, acute intoxication, or other known diseases were excluded.
To analyze the primary endpoint of association between PPI use and dementia, the study compared the rate of dementia in a cohort of veterans who had received an outpatient prescription for a PPI within the study time frame vs the rate of dementia in a random, equal number of veterans who had never been prescribed PPIs within the study time frame. In this study, veterans were classified as having dementia if they had a diagnosis of dementia based on ICD-9 or ICD-10 codes (Table 1), or if they had been prescribed medications used to treat dementia (donepezil, ergoloid mesylates, galantamine, memantine, and rivastigmine).
Secondary endpoints included analysis of the effects of PPI agent, PPI dose, and PPI duration on the risk of dementia. For the PPI dose analysis, cumulative doses were converted into defined daily doses (DDDs) using the World Health Organization calculation to equalize the different potencies of PPI agents (Table 2).14 In addition, the effect of PPI use on vitamin B12 levels was analyzed as an exploratory endpoint to investigate the hypothesis that PPI may be associated with vitamin B12 deficiency, which in turn may be associated with dementia.6,7
Baseline characteristics were collected to determine the variability between the treatment and control group. Data collected included age, gender, past medical history of diseases that may increase risk of dementia, and anticholinergic drug use. Anticholinergic drugs were included if they were classified as having “definite anticholinergic effects” based on the Aging Brain Care Anticholinergic Burden Scale (Appendix).15
Statistical Analysis
The primary endpoint was analyzed using a χ2 for association test. For the secondary endpoints, a χ2 for association test was used for endpoints with nominal data, and the Mood median test was used for endpoints with continuous data. The exploratory endpoint analyzing vitamin B12 levels was analyzed with the Mood median test. A P value of < .05 was defined as being statistically significant. Power analysis was not performed since all veterans who met the criteria were included in the study.
Results
Records of 23,656 veterans were included in the study with 11,828 veterans in both the PPI cohort and the non-PPI cohort (Table 3).
Primary Endpoint
Within the PPI group, 1,119 (9.5%) veterans had dementia compared with only 740 (6.3%) veterans in the non-PPI group. There was a statistically significant association between PPI use and dementia (P < .001). These results yielded an odds ratio of 1.55 for dementia risk in PPI users vs nonusers and a relative risk increase of 51.4% for dementia risk with PPI use compared with no PPI use.
Secondary Endpoints
Users of rabeprazole had the highest rate of dementia (12.8%), followed by lansoprazole (10.9%), omeprazole (9.7%), esomeprazole (7.7%), and pantoprazole (7.0%). The rate of dementia for non-PPI users was 6.3% (P < .001). The median cumulative doses of PPIs were not significant: 597 DDDs (95% CI, 540-630) in the dementia group vs 570 DDDs (95% CI, 540-624) in the nondementia group (P = .79). The median cumulative duration of PPI use in the dementia group was 4.6 years (95% CI, 4.25-4.92) vs 5.3 years (95% CI, 5.08-5.42) in the nondementia group (P < .001).
Exploratory Endpoint
The median B12 level in the PPI group was 521 pg/mL (95% CI, 509-533) compared with 480 pg/mL (95% CI, 465-496) in the non-PPI group (P < .001). However, both groups fell within the normal range for vitamin B12 (200-900 pg/mL).16
Discussion
The aim of this study was to determine whether an association existed between PPI use and dementia. This study showed a statistically significant association between PPI use and dementia within the veteran population. This study also showed a significant association between specific PPI agents and dementia. When analyzing the individual PPI agents, the rabeprazole group yielded the strongest relationship. However, this study was not powered to evaluate and compare risks of dementia between individual PPI agents. More data are needed to determine statistical and clinical significance of associations between individual PPI agents and risk of dementia.
The veterans with dementia had a higher median cumulative PPI dose than did the veterans without dementia; however, the results were not statistically significant. Therefore, the data cannot correlate higher doses of PPI use to increased risk of dementia.
The cumulative duration of PPI use was statistically significant but opposite of the expected outcome. The dementia group had a lower median lifetime duration of PPI use compared with that of the nondementia group. It is difficult to determine the reason for this outcome, but it seems that for this study population, a longer duration of PPI use was not associated with an increased risk of dementia.
Finally, the exploratory endpoint analyzed vitamin B12 levels, since it has been shown that PPI use can lead to vitamin B12 deficiency and that B12 deficiency can lead to dementia.6-8 This study found that the dementia group had significantly higher vitamin B12 levels than the nondementia group. These data suggest that PPI use may not be associated with vitamin B12 deficiency. However, it is important to note that this study was unable to collect data on the use of vitamin B12 supplementation due to the unreliability of over-the-counter (OTC) and non-VA medication use records. Therefore, it is possible that the PPI group had higher rates of B12 deficiency but were effectively treated with B12 supplementation. More research is needed to determine the exact relationship between PPI use, vitamin B12 deficiency, and dementia risk.
Strengths/Limitations
Strengths of this study that support its findings include the large population size. Additionally, the use of the VA EHR allowed for a complete drug dispensing history to be collected, which improves reliability of the data.
This study also had some limitations. First, the causal relationship of PPI use and dementia cannot be proven using a retrospective cohort design. This study’s design can show association, but it cannot prove causation. Also, due to the retrospective design, exposure to PPI use could not be randomized; thus, correlation between PPI use and dementia may be explained by confounding variables that are not captured within this study. This is especially true since the baseline characteristics were not equally distributed between the 2 groups. In fact, the PPI group had higher rates of many clinical comorbidities. This imbalance may have skewed the results of the primary endpoint. Lastly, OTC PPI use and non-VA PPI prescriptions were not available. Therefore, some of the patients included in the non-PPI group may have been PPI users if they received PPIs from OTC or non-VA sources, which could skew the results.
Conclusion
This study showed a significant association between PPI use and dementia within the veteran study population. The study also showed a significant association between PPI use and dementia within the secondary endpoint of individual PPI agent. Higher cumulative dose and duration of PPI use did not seem to increase risk of dementia. Finally, PPI use was not associated with significantly low vitamin B12 levels. More studies are needed to determine causation of dementia and its risk factors.
Acknowledgments
This material is the result of work supported with resources and the use of facilities at the Sioux Falls VA Health Care System.
1. Savarino V, Dulbecco P, de Bortoli N, Ottonello A, Savarino E. The appropriate use of proton pump inhibitors (PPIs): need for a reappraisal. Eur J Intern Med. 2017;37:19-24.
2. Heidelbaugh J, Goldberg K, Inadomi J. Magnitude and economic effect of overuse of antisecretory therapy in the ambulatory care setting. Am J Manag Care. 2010;16(9):e228-e234.
3. Heidelbaugh JJ, Kim AH, Chang R. Walker PC. Overutilization of proton-pump inhibitors: what the clinician needs to know. Therap Adv Gastroenterol. 2012;5(4):219-232.
4. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, (DSM-5). American Psychiatric Association: Washington, DC; 2013.
5. World Health Organization. Dementia. http://www.who.int/mediacentre/factsheets/fs362/en/. Published December 12, 2017. Accessed March 10, 2019.
6. Vogiatzoglou A, Smith AD, Nurk E, et al. Cognitive function in an elderly population: interaction between vitamin B12 status, depression, and apolipoprotein E ε4: the Hordaland Homocysteine Study. Psychosom Med. 2013;75(1):20-29.
7. Lam JR, Schneider JL, Zhao W, Corley DA. Proton pump inhibitor and histamine 2 receptor antagonist use and vitamin B12 deficiency. JAMA. 2013;310(22):2435-2442.
8. Badiola N, Alcalde V, Pujol A, et al. The proton-pump inhibitor lansoprazole enhances amyloid beta production. PLoS One. 2013;8(3):e58837.
9. Haenisch B, von Holt K, Wiese B, et al. Risk of dementia in elderly patients with the use of proton pump inhibitors. Eur Arch Psychiatry Clin Neurosci. 2015;265(5):419-428.
10. Gomm W, von Holt K, Thomé F, et al. Association between proton pump inhibitors with risk of dementia. A pharmacoepidemiological claims data analysis. JAMA Neurol. 2016;73(4):410-416.
11. Tai SY, Chien CY, Wu DC, et al. Risk of dementia from proton pump inhibitor use in Asian population: a nationwide cohort study in Taiwan. PLoS One. 2017;12(2):e0171006.
12. Goldstein FC, Steenland K, Zhao L, Wharton W, Levey AI, Hajjar I. Proton pump inhibitors and risk of mild cognitive impairment and dementia. J Am Geriatr Soc. 2017;65(9):1969-1674.
13. Taipale H, Tolppanen AM, Tiihonen M. Tanskanen A, Tiihonen J, Hartikainen S. No association between proton pump inhibitor use and risk of Alzheimer’s disease. Am J Gastroenterol. 2017;112(12):1801-1808.
14. World Health Organization Collaborating Centre for Drug Statistics Methodology. Definition and general considerations. https://www.whocc.no/ddd/definition_and_general_considera/. Updated February 7, 2018. Accessed March 13, 2019.
15. Indiana University Center for Aging Research, Aging Brain Program. Anticholinergic cognitive burden scale. http://www.idhca.org/wp-content/uploads/2018/02/DESAI_ACB_scale_-_Legal_size_paper.pdf. Updated 2012. Accessed March 10, 2019.
16. US National Library of Medicine, MedlinePlus. Vitamin B12 level. https://medlineplus.gov/ency/article/003705.htm. Updated March 7, 2019. Accessed March 13, 2019.
1. Savarino V, Dulbecco P, de Bortoli N, Ottonello A, Savarino E. The appropriate use of proton pump inhibitors (PPIs): need for a reappraisal. Eur J Intern Med. 2017;37:19-24.
2. Heidelbaugh J, Goldberg K, Inadomi J. Magnitude and economic effect of overuse of antisecretory therapy in the ambulatory care setting. Am J Manag Care. 2010;16(9):e228-e234.
3. Heidelbaugh JJ, Kim AH, Chang R. Walker PC. Overutilization of proton-pump inhibitors: what the clinician needs to know. Therap Adv Gastroenterol. 2012;5(4):219-232.
4. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, (DSM-5). American Psychiatric Association: Washington, DC; 2013.
5. World Health Organization. Dementia. http://www.who.int/mediacentre/factsheets/fs362/en/. Published December 12, 2017. Accessed March 10, 2019.
6. Vogiatzoglou A, Smith AD, Nurk E, et al. Cognitive function in an elderly population: interaction between vitamin B12 status, depression, and apolipoprotein E ε4: the Hordaland Homocysteine Study. Psychosom Med. 2013;75(1):20-29.
7. Lam JR, Schneider JL, Zhao W, Corley DA. Proton pump inhibitor and histamine 2 receptor antagonist use and vitamin B12 deficiency. JAMA. 2013;310(22):2435-2442.
8. Badiola N, Alcalde V, Pujol A, et al. The proton-pump inhibitor lansoprazole enhances amyloid beta production. PLoS One. 2013;8(3):e58837.
9. Haenisch B, von Holt K, Wiese B, et al. Risk of dementia in elderly patients with the use of proton pump inhibitors. Eur Arch Psychiatry Clin Neurosci. 2015;265(5):419-428.
10. Gomm W, von Holt K, Thomé F, et al. Association between proton pump inhibitors with risk of dementia. A pharmacoepidemiological claims data analysis. JAMA Neurol. 2016;73(4):410-416.
11. Tai SY, Chien CY, Wu DC, et al. Risk of dementia from proton pump inhibitor use in Asian population: a nationwide cohort study in Taiwan. PLoS One. 2017;12(2):e0171006.
12. Goldstein FC, Steenland K, Zhao L, Wharton W, Levey AI, Hajjar I. Proton pump inhibitors and risk of mild cognitive impairment and dementia. J Am Geriatr Soc. 2017;65(9):1969-1674.
13. Taipale H, Tolppanen AM, Tiihonen M. Tanskanen A, Tiihonen J, Hartikainen S. No association between proton pump inhibitor use and risk of Alzheimer’s disease. Am J Gastroenterol. 2017;112(12):1801-1808.
14. World Health Organization Collaborating Centre for Drug Statistics Methodology. Definition and general considerations. https://www.whocc.no/ddd/definition_and_general_considera/. Updated February 7, 2018. Accessed March 13, 2019.
15. Indiana University Center for Aging Research, Aging Brain Program. Anticholinergic cognitive burden scale. http://www.idhca.org/wp-content/uploads/2018/02/DESAI_ACB_scale_-_Legal_size_paper.pdf. Updated 2012. Accessed March 10, 2019.
16. US National Library of Medicine, MedlinePlus. Vitamin B12 level. https://medlineplus.gov/ency/article/003705.htm. Updated March 7, 2019. Accessed March 13, 2019.
Understanding Psychosis in a Veteran With a History of Combat and Multiple Sclerosis (FULL)
A patient with significant combat history and previous diagnoses of multiple sclerosis and unspecified schizophrenia spectrum and other psychotic disorder was admitted with acute psychosis inconsistent with expected clinical presentations.
Multiple sclerosis (MS) is an immune-mediated neurodegenerative disease that affects > 700,000 people in the US.1 The hallmarks of MS pathology are axonal or neuronal loss, demyelination, and astrocytic gliosis. Of these, axonal or neuronal loss is the main underlying mechanism of permanent clinical disability.
MS also has been associated with an increased prevalence of psychiatric illnesses, with mood disorders affecting up to 40% to 60% of the population, and psychosis being reported in 2% to 4% of patients.2 The link between MS and mood disorders, including bipolar disorder and depression, was documented as early as 1926,with mood disorders hypothesized to be manifestations of central nervous system (CNS) inflammation.3 More recently, inflammation-driven microglia have been hypothesized to impair hippocampal connectivity and activate glucocorticoid-insensitive inflammatory cells that then overstimulate the hypothalamic-pituitary-adrenal axis.4,5
Although the prevalence of psychosis in patients with MS is significantly rarer, averaging between 2% and 4%.6 A Canadian study by Patten and colleagues reviewed data from 2.45 million residents of Alberta and found that those who identified as having MS had a 2% to 3% prevalence of psychosis compared with 0.5% to 1% in the general population.7 The connection between psychosis and MS, similar to that between mood disorders and MS, has been described as a common regional demyelination process. Supporting this, MS manifesting as psychosis has been found to present with distinct magnetic resonance imaging (MRI) findings, such as diffuse periventricular lesions.8 Still, no conclusive criteria have been developed to distinguish MS presenting as psychosis from a primary psychiatric illness, such as schizophrenia.
In patients with combat history, it is possible that both neurodegenerative and psychotic symptoms can be explained by autoantibody formation in response to toxin exposure. When soldiers were deployed to Iraq and Afghanistan, they may have been exposed to multiple toxicities, including depleted uranium, dust and fumes, and numerous infectious diseases.9 Gulf War illness (GWI) or chronic multisymptom illness (CMI) encompass a cluster of symptoms, such as chronic pain, chronic fatigue, irritable bowel syndrome, dermatitis, and seizures, as well as mental health issues such as depression and anxiety experienced following exposure to these combat environments.10,11
In light of this diagnostic uncertainty, the authors detail a case of a patient with significant combat history previously diagnosed with MS and unspecified schizophrenia spectrum and other psychotic disorder (USS & OPD) presenting with acute psychosis.
Case Presentation
A 35-year-old male veteran, with a history of MS, USS & OPD, posttraumatic stress disorder, and traumatic brain injuries (TBIs) was admitted to the psychiatric unit after being found by the police lying in the middle of a busy intersection, internally preoccupied. On admission, he reported a week of auditory hallucinations from birds with whom he had been communicating telepathically, and a recurrent visual hallucination of a tall man in white and purple robes. He had discontinued his antipsychotic medication, aripiprazole 10 mg, a few weeks prior for unknown reasons. He was brought to the hospital by ambulance, where he presented with disorganized thinking, tangential thought process, and active auditory and visual hallucinations. The differential diagnoses included USS & OPD, schizophrenia, schizoaffective disorder and ruled out substance-induced psychotic disorder, and psychosis as a manifestation of MS.
The patient had 2 psychotic episodes prior to this presentation. He was hospitalized for his first psychotic break in 2015 at age 32, when he had tailed another car “to come back to reality” and ended up in a motor vehicle accident. During that admission, he reported weeks of thought broadcasting, conspiratorial delusions, and racing thoughts. Two years later, he was admitted to a psychiatric intensive care unit for his second episode of severe psychosis. After several trials of different antipsychotic medications, his most recent pharmacologic regimen was aripiprazole 10 mg once daily.
His medical history was complicated by 2 TBIs, in November 2014 and January 2015, with normal computed tomography (CT) scans. He was diagnosed with MS in December 2017, when he presented with intractable emesis, left facial numbness, right upper extremity ataxia, nystagmus, and imbalance. An MRI scan revealed multifocal bilateral hypodensities in his periventricular, subcortical, and brain stem white matter. Multiple areas of hyperintensity were visualized, including in the right periatrial region and left brachium pontis. More than 5 oligoclonal bands on lumbar puncture confirmed the diagnosis.
He was treated with IV methylprednisolone followed by a 2-week prednisone taper. Within 1 week, he returned to the psychiatric unit with worsening symptoms and received a second dose of IV steroids and plasma exchange treatment. In the following months, he completed a course of rituximab infusions and physical therapy for his dysarthria, gait abnormality, and vision impairment.
His social history was notable for multiple first-degree relatives with schizophrenia. He reported a history of sexual and verbal abuse and attempted suicide once at age 13 years by hanging himself with a bathrobe. He left home at age 18 years to serve in the Marine Corps (2001-2006). His service included deployment to Afghanistan, where he received a purple heart. Upon his return, he received BA and MS degrees. He married and had 2 daughters but became estranged from his wife. By his most recent admission, he was unemployed and living with his half-sister.
On the first day of this most recent psychiatric hospitalization, he was restarted on aripiprazole 10 mg daily, and a medicine consult was sought to evaluate the progression of his MS. No new onset neurologic symptoms were noted, but he had possible residual lower extremity hyperreflexia and tandem gait incoordination. The episodes of psychotic and neurologic symptoms appeared independent, given that his psychiatric history preceded the onset of his MS.
The patient reported no visual hallucinations starting day 2, and he no longer endorsed auditory hallucinations by day 3. However, he continued to appear internally preoccupied and was noticed to be pacing around the unit. On day 4 he presented with newly pressured speech and flights of ideas, while his affect remained euthymic and his sleep stayed consistent. In combination with his ongoing pacing, his newfound symptoms were hypothesized to be possibly akathisia, an adverse effect (AE) of aripiprazole. As such, on day 5 his dose was lowered to 5 mg daily. He continued to report no hallucinations and demonstrated progressively increased emotional range. A MRI scan was done on day 6 in case a new lesion could be identified, suggesting a primary MS flare-up; however, the scan identified no enhancing lesions, indicating no ongoing demyelination. After a neurology consult corroborated this conclusion, he was discharged in stable condition on day 7.
As is the case with the majority of patients with MS-induced psychosis, he continued to have relapsing psychiatric disease even after MS treatment had been started. Unfortunately, because this patient had stopped taking his atypical antipsychotic medication several weeks prior to his hospitalization, we cannot clarify whether his psychosis stems from a primary psychiatric vs MS process.
Discussion
Presently, treatment preferences for MS-related psychosis are divided between atypical antipsychotics and glucocorticoids. Some suggest that the treatment remains similar between MS-related psychosis and primary psychotic disorders in that atypical antipsychotics are the standard of care.12 A variety of atypical antipsychotics have been used successfully in case reports, including zipradisone, risperidone, olanzapine, quetiapine, and aripiprazole.13,14 First-generation antipsychotics and other psychotropic drugs that can precipitate extra-pyramidal AEs are not recommended given their potential additive effect to motor deficits associated with MS.12 Alternatively, several case reports have found that MS-related psychotic symptoms respond to glucocorticoids more effectively, while cautioning that glucocorticoids can precipitate psychosis and depression.15,16 One review article found that 90% of patients who received corticosteroids saw an improvement in their psychotic symptoms.2
Finally, it is possible that our patient’s neuropsychiatric symptoms can be explained by autoantibody formation in response to toxin exposure during his time in Afghanistan. In a pilot study of veterans with GWI, Abou-Donia and colleagues found 2-to-9 fold increase in autoantibody reactivity levels of the following neuronal and glial-specific proteins relative to healthy controls: neurofilament triplet proteins, tubulin, microtubule-associated tau proteins, microtubule-associated protein-2, myelin basic protein, myelin-associated glycoprotein, glial fibrillary acidic protein, and calcium-calmodulin kinase II.17,18 Many of these autoantibodies are longstanding explicit markers for neurodegenerative disorders, given that they target proteins and antigens that support axonal transport and myelination. Still Gulf War veteran status has yet to be explicitly linked to an increased risk of MS,19 making this hypothesis less likely for our patient. Future research should address the clinical and therapeutic implications of different autoantibody levels in combat veterans with psychosis.
Conclusion
For patients with MS, mood disorder and psychotic symptoms should warrant a MRI given the possibility of a psychiatric manifestation of MS relapse. Ultimately, our patient’s presentation was inconsistent with the expected clinical presentations of both a primary psychotic disorder and psychosis as a manifestation of MS. His late age at his first psychotic break is atypical for primary psychotic disease, and the lack of MRI imaging done at his initial psychotic episodes cannot exclude a primary MS diagnosis. Still, his lack of MRI findings at his most recent hospitalization, negative symptomatology, and strong history of schizophrenia make a primary psychotic disorder likely.
Following his future clinical course will be necessary to determine the etiology of his psychotic episodes. Future episodes of psychosis with neurologic symptoms would suggest a primary MS diagnosis and potential benefit of immunosuppressant treatment, whereas repeated psychotic breaks with minimal temporal lobe involvement or demyelination as seen on MRI would be suspicious for separate MS and psychotic disease processes. Further research on treatment regimens for patients experiencing psychosis as a manifestation of MS is still necessary.
1. Wallin MT, Culpepper WJ, Campbell JD, et al. The prevalence of MS in the United States: A population-based estimate using health claims data. Neurology. 2019;92(10):e1029-e1040.
2. Camara-Lemarroy CR, Ibarra-Yruegas BE, Rodriguez-Gutierrez R, Berrios-Morales I, Ionete C, Riskind P. The varieties of psychosis in multiple sclerosis: a systematic review of cases. Mult Scler Relat Disord. 2017;12:9-14.
3. Cottrel SS, Wilson SA. The affective symptomatology of disseminated sclerosis: a study of 100 cases. J Neurol Psychopathology. 1926;7(25):1-30.
4. Johansson V, Lundholm C, Hillert J, et al. Multiple sclerosis and psychiatric disorders: comorbidity and sibling risk in a nationwide Swedish cohort. Mult Scler. 2014;20(14):1881-1891.
5. Rossi S, Studer V, Motta C, et al. Neuroinflammation drives anxiety and depression in relapsing-remitting multiple sclerosis. Neurology. 2017;89(13):1338-1347.
6. Gilberthorpe TG, O’Connell KE, Carolan A, et al. The spectrum of psychosis in multiple sclerosis: a clinical case series. Neuropsychiatric disease and treatment. 2017;13:303.
7. Patten SB, Svenson LW, Metz LM. Psychotic disorders in MS: population-based evidence of an association. Neurology 2005;65(7):1123-1125.
8. Kosmidis MH, Giannakou M, Messinis L, Papathanasopoulos P. Psychotic features associated with multiple sclerosis. Int Rev Psychiatry. 2010; 22(1):55-66.
9. US Department of Veterans Affairs. Public health: military exposures. https://www.publichealth.va.gov/exposures/. Updated April 16, 2019. Accessed May 13, 2019.
10. DeBeer BB, Davidson D, Meyer EC, Kimbrel NA, Gulliver SB, Morissette SB. The association between toxic exposures and chronic multisymptom illness in veterans of the wars of Iraq and Afghanistan. J Occup Environ Med. 2017;59(1):54-60.
11. Kang HK, Li B, Mahan CM, Eisen SA, Engel CC. Health of US veterans of 1991 Gulf War: a follow-up survey in 10 years. J Occup Environ Med. 2009;51(4):401-410.
12. Murphy R, O’Donoghue S, Counihan T, et al. Neuropsychiatric syndromes of multiple sclerosis. J Neurol Neurosurg Psychiatry. 2017;88(8):697-708.
13. Davids E, Hartwig U, Gastpar, M. Antipsychotic treatment of psychosis associated with multiple sclerosis. Prog Neuro Psychopharmacol Biol Psychiatry. 2004;28(4):743-744.
14. Lo Fermo S, Barone R, Patti F, et al. Outcome of psychiatric symptoms presenting at onset of multiple sclerosis: a retrospective study. Mult Scler. 2010;16(6):742-748.
15. Enderami A, Fouladi R, Hosseini HS. First-episode psychosis as the initial presentation of multiple sclerosis: a case report. Int Medical Case Rep J. 2018;11:73-76.
16. Fragoso YD, Frota ER, Lopes JS, et al. Severe depression, suicide attempts, and ideation during the use of interferon beta by patients with multiple sclerosis. Clin Neuropharmacol. 2010;33(6):312-316.
17. Abou-Donia MB, Conboy LA, Kokkotou E, et al. Screening for novel central nervous system biomarkers in veterans with Gulf War Illness. Neurotoxicol Teratol. 2017;61:36-46.
18. Abou-Donia MB, Lieberman A, Curtis L. Neural autoantibodies in patients with neurological symptoms and histories of chemical/mold exposures. Toxicol Ind Health. 2018;34(1):44-53.
19. Wallin MT, Kurtzke JF, Culpepper WJ, et al. Multiple sclerosis in Gulf War era veterans. 2. Military deployment and risk of multiple sclerosis in the first Gulf War. Neuroepidemiology. 2014;42(4):226-234.
A patient with significant combat history and previous diagnoses of multiple sclerosis and unspecified schizophrenia spectrum and other psychotic disorder was admitted with acute psychosis inconsistent with expected clinical presentations.
A patient with significant combat history and previous diagnoses of multiple sclerosis and unspecified schizophrenia spectrum and other psychotic disorder was admitted with acute psychosis inconsistent with expected clinical presentations.
Multiple sclerosis (MS) is an immune-mediated neurodegenerative disease that affects > 700,000 people in the US.1 The hallmarks of MS pathology are axonal or neuronal loss, demyelination, and astrocytic gliosis. Of these, axonal or neuronal loss is the main underlying mechanism of permanent clinical disability.
MS also has been associated with an increased prevalence of psychiatric illnesses, with mood disorders affecting up to 40% to 60% of the population, and psychosis being reported in 2% to 4% of patients.2 The link between MS and mood disorders, including bipolar disorder and depression, was documented as early as 1926,with mood disorders hypothesized to be manifestations of central nervous system (CNS) inflammation.3 More recently, inflammation-driven microglia have been hypothesized to impair hippocampal connectivity and activate glucocorticoid-insensitive inflammatory cells that then overstimulate the hypothalamic-pituitary-adrenal axis.4,5
Although the prevalence of psychosis in patients with MS is significantly rarer, averaging between 2% and 4%.6 A Canadian study by Patten and colleagues reviewed data from 2.45 million residents of Alberta and found that those who identified as having MS had a 2% to 3% prevalence of psychosis compared with 0.5% to 1% in the general population.7 The connection between psychosis and MS, similar to that between mood disorders and MS, has been described as a common regional demyelination process. Supporting this, MS manifesting as psychosis has been found to present with distinct magnetic resonance imaging (MRI) findings, such as diffuse periventricular lesions.8 Still, no conclusive criteria have been developed to distinguish MS presenting as psychosis from a primary psychiatric illness, such as schizophrenia.
In patients with combat history, it is possible that both neurodegenerative and psychotic symptoms can be explained by autoantibody formation in response to toxin exposure. When soldiers were deployed to Iraq and Afghanistan, they may have been exposed to multiple toxicities, including depleted uranium, dust and fumes, and numerous infectious diseases.9 Gulf War illness (GWI) or chronic multisymptom illness (CMI) encompass a cluster of symptoms, such as chronic pain, chronic fatigue, irritable bowel syndrome, dermatitis, and seizures, as well as mental health issues such as depression and anxiety experienced following exposure to these combat environments.10,11
In light of this diagnostic uncertainty, the authors detail a case of a patient with significant combat history previously diagnosed with MS and unspecified schizophrenia spectrum and other psychotic disorder (USS & OPD) presenting with acute psychosis.
Case Presentation
A 35-year-old male veteran, with a history of MS, USS & OPD, posttraumatic stress disorder, and traumatic brain injuries (TBIs) was admitted to the psychiatric unit after being found by the police lying in the middle of a busy intersection, internally preoccupied. On admission, he reported a week of auditory hallucinations from birds with whom he had been communicating telepathically, and a recurrent visual hallucination of a tall man in white and purple robes. He had discontinued his antipsychotic medication, aripiprazole 10 mg, a few weeks prior for unknown reasons. He was brought to the hospital by ambulance, where he presented with disorganized thinking, tangential thought process, and active auditory and visual hallucinations. The differential diagnoses included USS & OPD, schizophrenia, schizoaffective disorder and ruled out substance-induced psychotic disorder, and psychosis as a manifestation of MS.
The patient had 2 psychotic episodes prior to this presentation. He was hospitalized for his first psychotic break in 2015 at age 32, when he had tailed another car “to come back to reality” and ended up in a motor vehicle accident. During that admission, he reported weeks of thought broadcasting, conspiratorial delusions, and racing thoughts. Two years later, he was admitted to a psychiatric intensive care unit for his second episode of severe psychosis. After several trials of different antipsychotic medications, his most recent pharmacologic regimen was aripiprazole 10 mg once daily.
His medical history was complicated by 2 TBIs, in November 2014 and January 2015, with normal computed tomography (CT) scans. He was diagnosed with MS in December 2017, when he presented with intractable emesis, left facial numbness, right upper extremity ataxia, nystagmus, and imbalance. An MRI scan revealed multifocal bilateral hypodensities in his periventricular, subcortical, and brain stem white matter. Multiple areas of hyperintensity were visualized, including in the right periatrial region and left brachium pontis. More than 5 oligoclonal bands on lumbar puncture confirmed the diagnosis.
He was treated with IV methylprednisolone followed by a 2-week prednisone taper. Within 1 week, he returned to the psychiatric unit with worsening symptoms and received a second dose of IV steroids and plasma exchange treatment. In the following months, he completed a course of rituximab infusions and physical therapy for his dysarthria, gait abnormality, and vision impairment.
His social history was notable for multiple first-degree relatives with schizophrenia. He reported a history of sexual and verbal abuse and attempted suicide once at age 13 years by hanging himself with a bathrobe. He left home at age 18 years to serve in the Marine Corps (2001-2006). His service included deployment to Afghanistan, where he received a purple heart. Upon his return, he received BA and MS degrees. He married and had 2 daughters but became estranged from his wife. By his most recent admission, he was unemployed and living with his half-sister.
On the first day of this most recent psychiatric hospitalization, he was restarted on aripiprazole 10 mg daily, and a medicine consult was sought to evaluate the progression of his MS. No new onset neurologic symptoms were noted, but he had possible residual lower extremity hyperreflexia and tandem gait incoordination. The episodes of psychotic and neurologic symptoms appeared independent, given that his psychiatric history preceded the onset of his MS.
The patient reported no visual hallucinations starting day 2, and he no longer endorsed auditory hallucinations by day 3. However, he continued to appear internally preoccupied and was noticed to be pacing around the unit. On day 4 he presented with newly pressured speech and flights of ideas, while his affect remained euthymic and his sleep stayed consistent. In combination with his ongoing pacing, his newfound symptoms were hypothesized to be possibly akathisia, an adverse effect (AE) of aripiprazole. As such, on day 5 his dose was lowered to 5 mg daily. He continued to report no hallucinations and demonstrated progressively increased emotional range. A MRI scan was done on day 6 in case a new lesion could be identified, suggesting a primary MS flare-up; however, the scan identified no enhancing lesions, indicating no ongoing demyelination. After a neurology consult corroborated this conclusion, he was discharged in stable condition on day 7.
As is the case with the majority of patients with MS-induced psychosis, he continued to have relapsing psychiatric disease even after MS treatment had been started. Unfortunately, because this patient had stopped taking his atypical antipsychotic medication several weeks prior to his hospitalization, we cannot clarify whether his psychosis stems from a primary psychiatric vs MS process.
Discussion
Presently, treatment preferences for MS-related psychosis are divided between atypical antipsychotics and glucocorticoids. Some suggest that the treatment remains similar between MS-related psychosis and primary psychotic disorders in that atypical antipsychotics are the standard of care.12 A variety of atypical antipsychotics have been used successfully in case reports, including zipradisone, risperidone, olanzapine, quetiapine, and aripiprazole.13,14 First-generation antipsychotics and other psychotropic drugs that can precipitate extra-pyramidal AEs are not recommended given their potential additive effect to motor deficits associated with MS.12 Alternatively, several case reports have found that MS-related psychotic symptoms respond to glucocorticoids more effectively, while cautioning that glucocorticoids can precipitate psychosis and depression.15,16 One review article found that 90% of patients who received corticosteroids saw an improvement in their psychotic symptoms.2
Finally, it is possible that our patient’s neuropsychiatric symptoms can be explained by autoantibody formation in response to toxin exposure during his time in Afghanistan. In a pilot study of veterans with GWI, Abou-Donia and colleagues found 2-to-9 fold increase in autoantibody reactivity levels of the following neuronal and glial-specific proteins relative to healthy controls: neurofilament triplet proteins, tubulin, microtubule-associated tau proteins, microtubule-associated protein-2, myelin basic protein, myelin-associated glycoprotein, glial fibrillary acidic protein, and calcium-calmodulin kinase II.17,18 Many of these autoantibodies are longstanding explicit markers for neurodegenerative disorders, given that they target proteins and antigens that support axonal transport and myelination. Still Gulf War veteran status has yet to be explicitly linked to an increased risk of MS,19 making this hypothesis less likely for our patient. Future research should address the clinical and therapeutic implications of different autoantibody levels in combat veterans with psychosis.
Conclusion
For patients with MS, mood disorder and psychotic symptoms should warrant a MRI given the possibility of a psychiatric manifestation of MS relapse. Ultimately, our patient’s presentation was inconsistent with the expected clinical presentations of both a primary psychotic disorder and psychosis as a manifestation of MS. His late age at his first psychotic break is atypical for primary psychotic disease, and the lack of MRI imaging done at his initial psychotic episodes cannot exclude a primary MS diagnosis. Still, his lack of MRI findings at his most recent hospitalization, negative symptomatology, and strong history of schizophrenia make a primary psychotic disorder likely.
Following his future clinical course will be necessary to determine the etiology of his psychotic episodes. Future episodes of psychosis with neurologic symptoms would suggest a primary MS diagnosis and potential benefit of immunosuppressant treatment, whereas repeated psychotic breaks with minimal temporal lobe involvement or demyelination as seen on MRI would be suspicious for separate MS and psychotic disease processes. Further research on treatment regimens for patients experiencing psychosis as a manifestation of MS is still necessary.
Multiple sclerosis (MS) is an immune-mediated neurodegenerative disease that affects > 700,000 people in the US.1 The hallmarks of MS pathology are axonal or neuronal loss, demyelination, and astrocytic gliosis. Of these, axonal or neuronal loss is the main underlying mechanism of permanent clinical disability.
MS also has been associated with an increased prevalence of psychiatric illnesses, with mood disorders affecting up to 40% to 60% of the population, and psychosis being reported in 2% to 4% of patients.2 The link between MS and mood disorders, including bipolar disorder and depression, was documented as early as 1926,with mood disorders hypothesized to be manifestations of central nervous system (CNS) inflammation.3 More recently, inflammation-driven microglia have been hypothesized to impair hippocampal connectivity and activate glucocorticoid-insensitive inflammatory cells that then overstimulate the hypothalamic-pituitary-adrenal axis.4,5
Although the prevalence of psychosis in patients with MS is significantly rarer, averaging between 2% and 4%.6 A Canadian study by Patten and colleagues reviewed data from 2.45 million residents of Alberta and found that those who identified as having MS had a 2% to 3% prevalence of psychosis compared with 0.5% to 1% in the general population.7 The connection between psychosis and MS, similar to that between mood disorders and MS, has been described as a common regional demyelination process. Supporting this, MS manifesting as psychosis has been found to present with distinct magnetic resonance imaging (MRI) findings, such as diffuse periventricular lesions.8 Still, no conclusive criteria have been developed to distinguish MS presenting as psychosis from a primary psychiatric illness, such as schizophrenia.
In patients with combat history, it is possible that both neurodegenerative and psychotic symptoms can be explained by autoantibody formation in response to toxin exposure. When soldiers were deployed to Iraq and Afghanistan, they may have been exposed to multiple toxicities, including depleted uranium, dust and fumes, and numerous infectious diseases.9 Gulf War illness (GWI) or chronic multisymptom illness (CMI) encompass a cluster of symptoms, such as chronic pain, chronic fatigue, irritable bowel syndrome, dermatitis, and seizures, as well as mental health issues such as depression and anxiety experienced following exposure to these combat environments.10,11
In light of this diagnostic uncertainty, the authors detail a case of a patient with significant combat history previously diagnosed with MS and unspecified schizophrenia spectrum and other psychotic disorder (USS & OPD) presenting with acute psychosis.
Case Presentation
A 35-year-old male veteran, with a history of MS, USS & OPD, posttraumatic stress disorder, and traumatic brain injuries (TBIs) was admitted to the psychiatric unit after being found by the police lying in the middle of a busy intersection, internally preoccupied. On admission, he reported a week of auditory hallucinations from birds with whom he had been communicating telepathically, and a recurrent visual hallucination of a tall man in white and purple robes. He had discontinued his antipsychotic medication, aripiprazole 10 mg, a few weeks prior for unknown reasons. He was brought to the hospital by ambulance, where he presented with disorganized thinking, tangential thought process, and active auditory and visual hallucinations. The differential diagnoses included USS & OPD, schizophrenia, schizoaffective disorder and ruled out substance-induced psychotic disorder, and psychosis as a manifestation of MS.
The patient had 2 psychotic episodes prior to this presentation. He was hospitalized for his first psychotic break in 2015 at age 32, when he had tailed another car “to come back to reality” and ended up in a motor vehicle accident. During that admission, he reported weeks of thought broadcasting, conspiratorial delusions, and racing thoughts. Two years later, he was admitted to a psychiatric intensive care unit for his second episode of severe psychosis. After several trials of different antipsychotic medications, his most recent pharmacologic regimen was aripiprazole 10 mg once daily.
His medical history was complicated by 2 TBIs, in November 2014 and January 2015, with normal computed tomography (CT) scans. He was diagnosed with MS in December 2017, when he presented with intractable emesis, left facial numbness, right upper extremity ataxia, nystagmus, and imbalance. An MRI scan revealed multifocal bilateral hypodensities in his periventricular, subcortical, and brain stem white matter. Multiple areas of hyperintensity were visualized, including in the right periatrial region and left brachium pontis. More than 5 oligoclonal bands on lumbar puncture confirmed the diagnosis.
He was treated with IV methylprednisolone followed by a 2-week prednisone taper. Within 1 week, he returned to the psychiatric unit with worsening symptoms and received a second dose of IV steroids and plasma exchange treatment. In the following months, he completed a course of rituximab infusions and physical therapy for his dysarthria, gait abnormality, and vision impairment.
His social history was notable for multiple first-degree relatives with schizophrenia. He reported a history of sexual and verbal abuse and attempted suicide once at age 13 years by hanging himself with a bathrobe. He left home at age 18 years to serve in the Marine Corps (2001-2006). His service included deployment to Afghanistan, where he received a purple heart. Upon his return, he received BA and MS degrees. He married and had 2 daughters but became estranged from his wife. By his most recent admission, he was unemployed and living with his half-sister.
On the first day of this most recent psychiatric hospitalization, he was restarted on aripiprazole 10 mg daily, and a medicine consult was sought to evaluate the progression of his MS. No new onset neurologic symptoms were noted, but he had possible residual lower extremity hyperreflexia and tandem gait incoordination. The episodes of psychotic and neurologic symptoms appeared independent, given that his psychiatric history preceded the onset of his MS.
The patient reported no visual hallucinations starting day 2, and he no longer endorsed auditory hallucinations by day 3. However, he continued to appear internally preoccupied and was noticed to be pacing around the unit. On day 4 he presented with newly pressured speech and flights of ideas, while his affect remained euthymic and his sleep stayed consistent. In combination with his ongoing pacing, his newfound symptoms were hypothesized to be possibly akathisia, an adverse effect (AE) of aripiprazole. As such, on day 5 his dose was lowered to 5 mg daily. He continued to report no hallucinations and demonstrated progressively increased emotional range. A MRI scan was done on day 6 in case a new lesion could be identified, suggesting a primary MS flare-up; however, the scan identified no enhancing lesions, indicating no ongoing demyelination. After a neurology consult corroborated this conclusion, he was discharged in stable condition on day 7.
As is the case with the majority of patients with MS-induced psychosis, he continued to have relapsing psychiatric disease even after MS treatment had been started. Unfortunately, because this patient had stopped taking his atypical antipsychotic medication several weeks prior to his hospitalization, we cannot clarify whether his psychosis stems from a primary psychiatric vs MS process.
Discussion
Presently, treatment preferences for MS-related psychosis are divided between atypical antipsychotics and glucocorticoids. Some suggest that the treatment remains similar between MS-related psychosis and primary psychotic disorders in that atypical antipsychotics are the standard of care.12 A variety of atypical antipsychotics have been used successfully in case reports, including zipradisone, risperidone, olanzapine, quetiapine, and aripiprazole.13,14 First-generation antipsychotics and other psychotropic drugs that can precipitate extra-pyramidal AEs are not recommended given their potential additive effect to motor deficits associated with MS.12 Alternatively, several case reports have found that MS-related psychotic symptoms respond to glucocorticoids more effectively, while cautioning that glucocorticoids can precipitate psychosis and depression.15,16 One review article found that 90% of patients who received corticosteroids saw an improvement in their psychotic symptoms.2
Finally, it is possible that our patient’s neuropsychiatric symptoms can be explained by autoantibody formation in response to toxin exposure during his time in Afghanistan. In a pilot study of veterans with GWI, Abou-Donia and colleagues found 2-to-9 fold increase in autoantibody reactivity levels of the following neuronal and glial-specific proteins relative to healthy controls: neurofilament triplet proteins, tubulin, microtubule-associated tau proteins, microtubule-associated protein-2, myelin basic protein, myelin-associated glycoprotein, glial fibrillary acidic protein, and calcium-calmodulin kinase II.17,18 Many of these autoantibodies are longstanding explicit markers for neurodegenerative disorders, given that they target proteins and antigens that support axonal transport and myelination. Still Gulf War veteran status has yet to be explicitly linked to an increased risk of MS,19 making this hypothesis less likely for our patient. Future research should address the clinical and therapeutic implications of different autoantibody levels in combat veterans with psychosis.
Conclusion
For patients with MS, mood disorder and psychotic symptoms should warrant a MRI given the possibility of a psychiatric manifestation of MS relapse. Ultimately, our patient’s presentation was inconsistent with the expected clinical presentations of both a primary psychotic disorder and psychosis as a manifestation of MS. His late age at his first psychotic break is atypical for primary psychotic disease, and the lack of MRI imaging done at his initial psychotic episodes cannot exclude a primary MS diagnosis. Still, his lack of MRI findings at his most recent hospitalization, negative symptomatology, and strong history of schizophrenia make a primary psychotic disorder likely.
Following his future clinical course will be necessary to determine the etiology of his psychotic episodes. Future episodes of psychosis with neurologic symptoms would suggest a primary MS diagnosis and potential benefit of immunosuppressant treatment, whereas repeated psychotic breaks with minimal temporal lobe involvement or demyelination as seen on MRI would be suspicious for separate MS and psychotic disease processes. Further research on treatment regimens for patients experiencing psychosis as a manifestation of MS is still necessary.
1. Wallin MT, Culpepper WJ, Campbell JD, et al. The prevalence of MS in the United States: A population-based estimate using health claims data. Neurology. 2019;92(10):e1029-e1040.
2. Camara-Lemarroy CR, Ibarra-Yruegas BE, Rodriguez-Gutierrez R, Berrios-Morales I, Ionete C, Riskind P. The varieties of psychosis in multiple sclerosis: a systematic review of cases. Mult Scler Relat Disord. 2017;12:9-14.
3. Cottrel SS, Wilson SA. The affective symptomatology of disseminated sclerosis: a study of 100 cases. J Neurol Psychopathology. 1926;7(25):1-30.
4. Johansson V, Lundholm C, Hillert J, et al. Multiple sclerosis and psychiatric disorders: comorbidity and sibling risk in a nationwide Swedish cohort. Mult Scler. 2014;20(14):1881-1891.
5. Rossi S, Studer V, Motta C, et al. Neuroinflammation drives anxiety and depression in relapsing-remitting multiple sclerosis. Neurology. 2017;89(13):1338-1347.
6. Gilberthorpe TG, O’Connell KE, Carolan A, et al. The spectrum of psychosis in multiple sclerosis: a clinical case series. Neuropsychiatric disease and treatment. 2017;13:303.
7. Patten SB, Svenson LW, Metz LM. Psychotic disorders in MS: population-based evidence of an association. Neurology 2005;65(7):1123-1125.
8. Kosmidis MH, Giannakou M, Messinis L, Papathanasopoulos P. Psychotic features associated with multiple sclerosis. Int Rev Psychiatry. 2010; 22(1):55-66.
9. US Department of Veterans Affairs. Public health: military exposures. https://www.publichealth.va.gov/exposures/. Updated April 16, 2019. Accessed May 13, 2019.
10. DeBeer BB, Davidson D, Meyer EC, Kimbrel NA, Gulliver SB, Morissette SB. The association between toxic exposures and chronic multisymptom illness in veterans of the wars of Iraq and Afghanistan. J Occup Environ Med. 2017;59(1):54-60.
11. Kang HK, Li B, Mahan CM, Eisen SA, Engel CC. Health of US veterans of 1991 Gulf War: a follow-up survey in 10 years. J Occup Environ Med. 2009;51(4):401-410.
12. Murphy R, O’Donoghue S, Counihan T, et al. Neuropsychiatric syndromes of multiple sclerosis. J Neurol Neurosurg Psychiatry. 2017;88(8):697-708.
13. Davids E, Hartwig U, Gastpar, M. Antipsychotic treatment of psychosis associated with multiple sclerosis. Prog Neuro Psychopharmacol Biol Psychiatry. 2004;28(4):743-744.
14. Lo Fermo S, Barone R, Patti F, et al. Outcome of psychiatric symptoms presenting at onset of multiple sclerosis: a retrospective study. Mult Scler. 2010;16(6):742-748.
15. Enderami A, Fouladi R, Hosseini HS. First-episode psychosis as the initial presentation of multiple sclerosis: a case report. Int Medical Case Rep J. 2018;11:73-76.
16. Fragoso YD, Frota ER, Lopes JS, et al. Severe depression, suicide attempts, and ideation during the use of interferon beta by patients with multiple sclerosis. Clin Neuropharmacol. 2010;33(6):312-316.
17. Abou-Donia MB, Conboy LA, Kokkotou E, et al. Screening for novel central nervous system biomarkers in veterans with Gulf War Illness. Neurotoxicol Teratol. 2017;61:36-46.
18. Abou-Donia MB, Lieberman A, Curtis L. Neural autoantibodies in patients with neurological symptoms and histories of chemical/mold exposures. Toxicol Ind Health. 2018;34(1):44-53.
19. Wallin MT, Kurtzke JF, Culpepper WJ, et al. Multiple sclerosis in Gulf War era veterans. 2. Military deployment and risk of multiple sclerosis in the first Gulf War. Neuroepidemiology. 2014;42(4):226-234.
1. Wallin MT, Culpepper WJ, Campbell JD, et al. The prevalence of MS in the United States: A population-based estimate using health claims data. Neurology. 2019;92(10):e1029-e1040.
2. Camara-Lemarroy CR, Ibarra-Yruegas BE, Rodriguez-Gutierrez R, Berrios-Morales I, Ionete C, Riskind P. The varieties of psychosis in multiple sclerosis: a systematic review of cases. Mult Scler Relat Disord. 2017;12:9-14.
3. Cottrel SS, Wilson SA. The affective symptomatology of disseminated sclerosis: a study of 100 cases. J Neurol Psychopathology. 1926;7(25):1-30.
4. Johansson V, Lundholm C, Hillert J, et al. Multiple sclerosis and psychiatric disorders: comorbidity and sibling risk in a nationwide Swedish cohort. Mult Scler. 2014;20(14):1881-1891.
5. Rossi S, Studer V, Motta C, et al. Neuroinflammation drives anxiety and depression in relapsing-remitting multiple sclerosis. Neurology. 2017;89(13):1338-1347.
6. Gilberthorpe TG, O’Connell KE, Carolan A, et al. The spectrum of psychosis in multiple sclerosis: a clinical case series. Neuropsychiatric disease and treatment. 2017;13:303.
7. Patten SB, Svenson LW, Metz LM. Psychotic disorders in MS: population-based evidence of an association. Neurology 2005;65(7):1123-1125.
8. Kosmidis MH, Giannakou M, Messinis L, Papathanasopoulos P. Psychotic features associated with multiple sclerosis. Int Rev Psychiatry. 2010; 22(1):55-66.
9. US Department of Veterans Affairs. Public health: military exposures. https://www.publichealth.va.gov/exposures/. Updated April 16, 2019. Accessed May 13, 2019.
10. DeBeer BB, Davidson D, Meyer EC, Kimbrel NA, Gulliver SB, Morissette SB. The association between toxic exposures and chronic multisymptom illness in veterans of the wars of Iraq and Afghanistan. J Occup Environ Med. 2017;59(1):54-60.
11. Kang HK, Li B, Mahan CM, Eisen SA, Engel CC. Health of US veterans of 1991 Gulf War: a follow-up survey in 10 years. J Occup Environ Med. 2009;51(4):401-410.
12. Murphy R, O’Donoghue S, Counihan T, et al. Neuropsychiatric syndromes of multiple sclerosis. J Neurol Neurosurg Psychiatry. 2017;88(8):697-708.
13. Davids E, Hartwig U, Gastpar, M. Antipsychotic treatment of psychosis associated with multiple sclerosis. Prog Neuro Psychopharmacol Biol Psychiatry. 2004;28(4):743-744.
14. Lo Fermo S, Barone R, Patti F, et al. Outcome of psychiatric symptoms presenting at onset of multiple sclerosis: a retrospective study. Mult Scler. 2010;16(6):742-748.
15. Enderami A, Fouladi R, Hosseini HS. First-episode psychosis as the initial presentation of multiple sclerosis: a case report. Int Medical Case Rep J. 2018;11:73-76.
16. Fragoso YD, Frota ER, Lopes JS, et al. Severe depression, suicide attempts, and ideation during the use of interferon beta by patients with multiple sclerosis. Clin Neuropharmacol. 2010;33(6):312-316.
17. Abou-Donia MB, Conboy LA, Kokkotou E, et al. Screening for novel central nervous system biomarkers in veterans with Gulf War Illness. Neurotoxicol Teratol. 2017;61:36-46.
18. Abou-Donia MB, Lieberman A, Curtis L. Neural autoantibodies in patients with neurological symptoms and histories of chemical/mold exposures. Toxicol Ind Health. 2018;34(1):44-53.
19. Wallin MT, Kurtzke JF, Culpepper WJ, et al. Multiple sclerosis in Gulf War era veterans. 2. Military deployment and risk of multiple sclerosis in the first Gulf War. Neuroepidemiology. 2014;42(4):226-234.
Early and Accurate Identification of Parkinson Disease Among US Veterans (FULL)
Parkinson disease (PD) affects about 680,000 in the US, including > 110,000 veterans (Caroline Tanner, MD, PhD, unpublished data).1 In the next 10 years, this number is expected to double, in part because of the aging of the US population.1 Although the classic diagnostic criteria emphasize motor symptoms that include tremor, gait disturbance, and paucity of movement, there is increasing recognition that disease pathology begins decades before the development of motor impairment.2
Pathologic studies confirm that by the onset of motor symptoms, at least 30% of nigrostriatal neurons are lost or dysfunctional.3-5 Similarly, the Braak staging hypothesis posits initial deposition of Lewy bodies in the olfactory bulb and the dorsal motor nucleus of the vagus nerve, followed by prion-like spread through the brain stem into the midbrain/substantia nigra, and finally into the cortex (Figure 1).6
The decades-long prodromal or preclinical phase represents a unique opportunity for early identification of those at highest risk for developing the motor symptoms of Parkinson disease.7 Accurate identification, ideally before the onset of manifest motor disability, would not only improve prognostic counseling of veterans and families, but also could allow for early enrollment into trials of potentially disease-modifying therapeutic agents. Thus, early and accurate identification of PD is an important goal of the care of veterans with potential PD.
Prodromal Symptoms
Prodromal PD, as defined by the International Parkinson Disease and Movement Disorders Society (MDS), focuses on nonmotor symptoms that herald the onset of manifest motor PD.8 The most commonly assessed nonmotor features include olfaction, constipation, sleep disturbance, and mood disorders.
Olfaction is impaired in > 90% of patients with motor PD at the time of diagnosis; by contrast, the prevalence of hyposmia in the general population ranges from 20% to 50%, with higher rates in older adults and in smokers.9-11 Thus, olfaction appears to be a relatively sensitive, though nonspecific, prodromal feature. Importantly, subjective report of hyposmia is poorly reliable, so a number of different tests have been developed for objective assessment of olfactory dysfunction.12 The 12-item Brief Smell Identification Test (B-SIT), derived from the longer University of Pennsylvania Smell Identification Test, is a “scratch-and-sniff” forced multiple choice test that can be self-administered by cooperative patients.13,14 The B-SIT has been validated in multiple ethnic and cultural groups and shows high discrimination between PD subjects and controls.13,15 Of note, olfactory impairment appears to be associated with risk of cognitive decline in PD, further emphasizing the need for accurate assessment to guide prognosis.16
Like hyposmia, constipation can be noted long before the diagnosis of manifest motor PD.17 After adjustment for lifestyle factors, constipated individuals have up to 4.5-fold increased odds of developing PD, and those with constipation suffer worsened disease outcomes and health-related quality of life.17-20 Some groups have demonstrated alterations in gut microbiota of those with prodromal PD, which suggests local inflammatory processes and intestinal permeability may contribute to protein misfolding and disease development.21,22 This also raises the intriguing possibility that dietary alterations may be neuroprotective or neurorestorative, although this has yet to be tested in humans.23,24
Like constipation, mood changes can precede the appearance of manifest motor PD.25,26 Case control studies suggest a higher risk of developing PD among individuals who were previously diagnosed with depression or anxiety, particularly in the 1 to 2 years prior to PD diagnosis.27-29 Both apathy and anxiety are associated with striatal dopamine dysfunction, particularly in the right caudate nucleus, which suggests that mood changes are directly related to disease pathology.30,31
Of the prodromal features, rapid eye movement sleep behavior disorder (RBD) is associated with the highest risk of conversion to motor PD.8 Up to 80% of older men with socalled idiopathic RBD develop a parkinsonian syndrome within 20 years; risk is divided about equally between idiopathic PD and dementia with Lewy bodies (DLB).32 Collateral history from a bed-partner is usually sufficient to make the diagnosis, although, this is often confounded by the prevalence of nightmares in those with posttraumatic stress disorder in the veteran population.32 Thus, in suspected cases, obtaining a polysomnogram can aid in distinguishing between idiopathic PC and DLB.33 Given the specificity of RBD as a marker of synuclein deposition and the high risk of progression to a degenerative syndrome, accurate diagnosis and counseling is imperative.
Each of the prodromal nonmotor features of PD are at best moderately sensitive or specific in isolation, but in concert, they can be used to develop a Parkinson risk score. For instance, the MDS prodromal criteria combine individual likelihood ratios into Bayesian analysis to determine a combined probability of PD, which can be further stratified to probable or possible prodromal PD (probability > 80%, > 50%, respectively).8 These criteria have been applied to several independent cohorts and demonstrate high sensitivity and specificity, especially over time.34,35 Applicability in a veteran population has yet to be determined.
Use of Imaging in Diagnosis
Although clinical diagnostic criteria and prodromal features can improve diagnostic accuracy, it can be extremely challenging to distinguish idiopathic PD from nondegenerative parkinsonism or atypical syndromes (see below). Compared with the gold standard of pathologic assessment, the clinical diagnostic accuracy for PD ranges from 73% for nonexperts to 80% for fellowship-trained movement disorders specialists.36 Thus, objective biomarkers are sought to improve diagnostic accuracy both for clinical care as well as for research purposes, such as enrollment into clinical trials.
Multiple potential imaging biomarkers for preclinical PD can aid in early diagnosis and help differentiate PD from related but distinct disorders. While beyond the scope of this review, these techniques have recently been reviewed.7 Of these, the most widely available and accurate is dopamine transporter (DAT) imaging, which uses a radioiodinated ligand that binds to DAT on striatal dopaminergic terminals; binding is detected through single photon emission computed tomography (SPECT) scanning. Thus, a SPECT DaTscan (GE Healthcare Bio-Sciences, Little Chalfont, England) directly assesses the integrity of the presynaptic nigrostriatal system and is well correlated with severity of motor and nonmotor parkinsonism.37,38
In individuals with suspected prodromal PD, abnormal DaTscans are associated with faster progression to manifest motor PD.39 However, it should be noted that a number of medications, several of which are commonly utilized in the veteran population, can affect the outcome of a DaTscan.40 Some of these medications only mildly affect the outcome, so the physician interpreting the scan should be made aware of their use, while others need to be held for days to weeks so as not to invalidate the DaTscan. DaTscan also do not differentiate between PD and atypical degenerative parkinsonisms such as multiple system atrophy (MSA), DLB, progressive supranuclear palsy (PSP), or corticobasal syndrome (CBS). Nevertheless, these scans can be used to distinguish degenerative parkinsonisms from other conditions that can be difficult to distinguish clinically from PD, including essential tremor, normal pressure hydrocephalus, vascular parkinsonism, or druginduced parkinsonism (DIP).
DIP usually is caused by blockade of postsynaptic dopamine receptors by antipsychotic medications, which are prescribed to as many as 1 in 4 older veterans; antiemetic agents such as metoclopramide are also potential offenders if used chronically.41 The risk of DIP appears to be associated with the D2 binding affinity of the drug. Thus, of the newer atypical antipsychotics, clozapine and quetiapine appear to have the lowest risk, while ziprasidone and aripiprazole have the highest binding affinity and therefore the highest risk.42 In many patients, parkinsonism persists even after discontinuation of the offending agent, suggesting that in at least a subset of patients, DIP may be an “unmasking” of latent PD rather than a true adverse effect of the medication. The prodromal features discussed above can be used to distinguish isolated DIP from unmasked latent PD.43 In a study we conducted in veterans at the Michael J. Crescenz VA Medical Center in Philadelphia, Pennsylvania, hyposmia in particular was shown to be highly predictive of an underlying dopaminergic deficit with an odds ratio of 63.44
Other important considerations in the differential diagnosis of PD are the atypical degenerative parkinsonian syndromes, formerly called Parkinson plus syndromes. These may be further divided into the synucleinopathies (MSA, DLB) or the tauopathies (PSP, CBS), depending on the predominant amyloidogenic protein. Early in the disease, the atypical syndromes and idiopathic PD may be clinically indistinguishable, although the atypical syndromes tend to progress more rapidly and often have a less robust response to levodopa.
Radiologic and fluid biomarkers for the atypical syndromes are under active investigation; at present the most accessible study is magnetic resonance imaging (MRI), which may show characteristic features such as degeneration of the pontocerebellar fibers in MSA or midbrain atrophy in PSP.45,46 By contrast, standard MRI sequences in idiopathic PD are usually normal, although high-resolution (7 tesla) imaging can reveal loss of neuromelanin in the substantia nigra.47 MRI also can be useful in the workup of suspected normal pressure hydrocephalus or vascular parkinsonism, which would show disproportionate ventriculomegaly with transependymal flow, or white matter lesions in the basal ganglia, respectively.
Data-Based Identification of Preclinical PD
The integration of clinical motor or prodromal features with biomarker data has led to the development of several large-scale clinical and administrative databases to identify PD. The Parkinson Progression Markers Initiative initially enrolled only de novo clinically identified people with PD, but it expanded to include a prodromal cohort who are being assessed for rates of conversion to PD.48 Similarly, metabolic imaging can be combined with prodromal symptoms, such as hyposmia or RBD, to predict risk for phenoconversion into manifest motor PD.49
The PREDICT-PD study synthesizes mood symptoms, RBD, smell testing, genotyping, and keyboard-tapping tasks to divide individuals into high-, middle-, and low-risk groups; interim analysis at 3 years of follow-up (N = 842) demonstrated a hazard ratio of 4.39 (95% CI, 1.03-18.68) for the diagnosis of PD in the highrisk group compared with the low-risk group.50 Lastly, administrative claims data for prodromal features, such as constipation, RBD, and mood symptoms, is highly predictive of eventual PD diagnosis.51 VA databases accessed through the Corporate Data Warehouse are complementary sources of information to nonveteranspecific Medicare databases; to our knowledge there has not yet been a comprehensive search of VA databases to identify veterans with preclinical PD.
Risk Factors Associated With Military Service
A number of potential environmental risk factors may increase the risk of developing Parkinson disease for veterans. Perhaps the most commonly recognized is pesticide exposure, particularly given the presumptive service connections established by the VA for Parkinson disease and exposure to Agent Orange or contaminated water at Camp Lejeune.52,53 Both dioxin, the toxic ingredient in Agent Orange, and the solvents trichloroethylene and perchloroethylene, found in the water supply at Camp Lejeune, interfere with mitochondrial function leading to oxidative stress and apoptosis of nigrostriatal neurons.54,55 Other potential exposures, which are not necessarily limited to the veteran population, include rotenone, a phytochemical used to kill fish in reservoirs, and paraquat, an herbicide that may directly promote synuclein aggregation.56,57 Veterans who have reported exposure to these or other environmental chemicals in civilian life should be carefully assessed for the presence of motor PD or prodromal features.
Traumatic brain injury (TBI) also may be a risk factor for PD, which may be particularly relevant for veterans who had served in Iraq or Afghanistan. Retrospective claims data suggest a strong association between PD and recent TBI in the 5 to 10 years prior to motor PD diagnosis.58,59 A recent assessment of combat veterans with TBI found that even mild TBI was associated with a 56% increased risk of PD, while moderate-to-severe TBI was associated with an 83% higher risk of PD.60 The pathologic mechanism for this link is unclear, but post-TBI inflammatory processes may lead to the formation of reactive oxygen species and/or glutamatergic excitotoxicity, thus leading to secondary injury in the nigrostriatal pathway.61 As with prodromal symptoms, the risk of PD related to environmental risk factors may be synergistic; repetitive TBI may be more damaging than a single injury, and a combination of TBI and pesticide exposure markedly increases PD risk beyond the risk of TBI or the risk of pesticides alone.62 Recently, parkinsonism, including Parkinson disease, was recognized as a service connected condition for veterans with a servicerelated moderate or severe TBI.63
Conclusion
Because of the substantial impact on quality of life and disability-adjusted life years, early and accurate identification and management of veterans at risk for PD is an important priority area for the VA. The 10-year cost of PD-related benefits through the VA was estimated at $3.5 billion in fiscal year 2010, and that number is likely to rise in coming years, due to the aging population as well as synergistic effects of independent risk factors described above.64 In response, the VA has created a network of specialty care sites, known as Parkinson Disease Research, Education, and Clinical Centers (PADRECCs) located in Philadelphia, Pennsylvania; Richmond, Virginia; Houston, Texas; West Los Angeles and San Francisco, California; and Seattle, Washington/ Portland, Oregon (www.parkinsons.va.gov).
The PADRECCs are supplemented by a National VA PD Consortium network of VA physicians trained in PD management (Figure 2). Studies, including one investigating care of veterans with PD, have demonstrated that involvement of specialty care services early in the course of PD leads to improved patient outcomes.65,66 In addition to patient-facing resources such as support groups and specialized physical/occupational/speech therapy, PADRECCs and the consortium sites are national leaders in PD education and clinical trials and provide high-quality, multidisciplinary care for veterans with PD.67 Thus, veterans with significant risk factors or prodromal symptoms of PD should be referred into the PADRECC/Consortium network in order to maximize their quality of care and quality of life.
1. Marras C, Beck JC, Bower JH, et al; Parkinson’s Foundation P4 Group. Prevalence of Parkinson’s disease across North America. NPJ Parkinsons Dis. 2018;4:21.
2. Postuma RB, Berg D, Stern M, et al. MDS clinical diagnostic criteria for Parkinson’s disease. Mov Disord. 2015;30(12):1591-1601.
3. Fearnley JM, Lees AJ. Ageing and Parkinson’s disease: substantia nigra regional selectivity. Brain. 1991;114(pt 5):2283-2301.
4. Greffard S, Verny M, Bonnet A-M, et al. Motor score of the Unified Parkinson Disease Rating Scale as a good predictor of Lewy body-associated neuronal loss in the substantia nigra. Arch Neurol. 2006;63(4):584-588.
5. Hilker R, Schweitzer K, Coburger S, et al. Nonlinear progression of Parkinson disease as determined by serial positron emission tomographic imaging of striatal fluorodopa F 18 activity. Arch Neurol. 2005;62(3):378-382.
6. Braak H, Del Tredici K, Rüb U, de Vos RAI, Jansen Steur ENH, Braak E. Staging of brain pathology related to sporadic Parkinson’s disease. Neurobiol Aging. 2003;24(2):197-211.
7. Mantri S, Morley JF, Siderowf AD. The importance of preclinical diagnostics in Parkinson disease. Parkinsonism Relat Disord. 2018;pii:S1353-8020(18)30396-1. [Epub ahead of print]
8. Berg D, Postuma RB, Adler CH, et al. MDS research criteria for prodromal Parkinson’s disease. Mov Disord. 2015;30(12):1600-1611.
9. Haehner A, Boesveldt S, Berendse HW, et al. Prevalence of smell loss in Parkinson’s disease – a multicenter study. Parkinsonism Relat Disord. 2009;15(7):490-494.
10. Mullol J, Alobid I, Mariño-Sánchez F, et al. Furthering the understanding of olfaction, prevalence of loss of smell and risk factors: a population-based survey (OLFACAT study). BMJ Open. 2012;2(6).pii:e001256.
11. Doty RL, Shaman P, Applebaum SL, Giberson R, Siksorski L, Rosenberg L. Smell identification ability: changes with age. Science. 1984;226(4681):1441-1443.
12. Doty RL. Olfactory dysfunction in Parkinson disease. Nat Rev Neurol. 2012;8(6):329-339.
13. Double KL, Rowe DB, Hayes M, et al. Identifying the pattern of olfactory deficits in Parkinson disease using the brief smell identification test. Arch Neurol. 2003;60(4):545-549.
14. Doty RL, Shaman P, Dann M. Development of the University of Pennsylvania Smell Identification Test: a standardized microencapsulated test of olfactory function. Physiol Behav. 1984;32(3):489-502.
15. Morley JF, Cohen A, Silveira-Moriyama L, et al. Optimizing olfactory testing for the diagnosis of Parkinson’s disease: item analysis of the University of Pennsylvania smell identification test. NPJ Parkinsons Dis. 2018;4:2.
16. Fullard ME, Tran B, Xie SX, et al. Olfactory impairment predicts cognitive decline in early Parkinson’s disease. Parkinsonism Relat Disord. 2016;25:45-51.
17. Savica R, Carlin JM, Grossardt BR, et al. Medical records documentation of constipation preceding Parkinson disease: a case-control study. Neurology. 2009;73(21):1752-1758.
18. Abbott RD, Petrovitch H, White LR, et al. Frequency of bowel movements and the future risk of Parkinson’s disease. Neurology. 2001;57(3):456-462.
19. Stocchi F, Torti M. Constipation in Parkinson’s disease. Int Rev Neurobiol. 2017;134:811-826.
20. Yu QJ, Yu SY, Zuo LJ, et al. Parkinson disease with constipation: clinical features and relevant factors. Sci Rep. 2018;8(1):567.
21. Hill-Burns EM, Debelius JW, Morton JT, et al. Parkinson’s disease and Parkinson’s disease medications have distinct signatures of the gut microbiome. Mov Disord. 2017;32(5):739-749.
22. Mulak A, Bonaz B. Brain-gut-microbiota axis in Parkinson’s disease. World J Gastroenterol. 2015;21(37): 10609-10620.
23. Shah SP, Duda JE. Dietary modifications in Parkinson’s disease: a neuroprotective intervention? Med Hypotheses. 2015;85(6):1002-1005.
24. Perez-Pardo P, de Jong EM, Broersen LM, et al. Promising effects of neurorestorative diets on motor, cognitive, and gastrointestinal dysfunction after symptom development in a mouse model of Parkinson’s disease. Front Aging Neurosci. 2017;9:57.
25. Fang F, Xu Q, Park Y, et al. Depression and the subsequent risk of Parkinson’s disease in the NIH-AARP Diet and Health Study. Mov Disord. 2010;25(9):1157-1162.
26. Leentjens AFG, Van den Akker M, Metsemakers JFM, Lousberg R, Verhey FRJ. Higher incidence of depression preceding the onset of Parkinson’s disease: a register study. Mov Disord. 2003;18(4):414-418.
27. Alonso A, Rodriguez LAG, Logroscino G, Hernán MA. Use of antidepressants and the risk of Parkinson’s disease: a prospective study. J Neurol Neurosurg Psychiatry. 2009;80(6):671-674.
28. Weisskopf MG, Chen H, Schwarzschild MA, Kawachi I, Ascherio A. Prospective study of phobic anxiety and risk of Parkinson’s disease. Mov Disord. 2003;18(6):646-651.
29. Darweesh SK, Verlinden VJ, Stricker BH, Hofman A, Koudstaal PJ, Ikram MA. Trajectories of prediagnostic functioning in Parkinson’s disease. Brain. 2017;140(2):429-441.
30. Santangelo G, Vitale C, Picillo M, et al. Apathy and striatal dopamine transporter levels in de-novo, untreated Parkinson’s disease patients. Parkinsonism Relat Disord. 2015;21(5):489-493.
31. Erro R, Pappatà S, Amboni M, et al. Anxiety is associated with striatal dopamine transporter availability in newly diagnosed untreated Parkinson’s disease patients. Parkinsonism Relat Disord. 2012;18(9):1034-1038.
32. Schenck CH, Boeve BF, Mahowald MW. Delayed emergence of a parkinsonian disorder or dementia in 81% of older men initially diagnosed with idiopathic rapid eye movement sleep behavior disorder: a 16-year update on a previously reported series. Sleep Med. 2013;14(8):
744-748.
33. Melendez J, Hesselbacher S, Sharafkhaneh A, Hirshkowitz M. Assessment of REM sleep behavior disorder in veterans with posttraumatic stress disorder. Chest. 2011;140(4):967A.
34. Pilotto A, Heinzel S, Suenkel U, et al. Application of the movement disorder society prodromal Parkinson’s disease research criteria in 2 independent prospective cohorts. Mov Disord. 2017;32(7):1025-1034.
35. Fereshtehnejad S-M, Montplaisir JY, Pelletier A, Gagnon J-F, Berg D, Postuma RB. Validation of the MDS research criteria for prodromal Parkinson’s disease: Longitudinal assessment in a REM sleep behavior disorder (RBD) cohort. Mov Disord. 2017;32(6):865-873.
36. Rizzo G, Copetti M, Arcuti S, Martino D, Fontana A, Logroscino G. Accuracy of clinical diagnosis of Parkinson disease: a systematic review and meta-analysis. Neurology. 2016;86(6):566-576.
37. Moccia M, Pappatà S, Picillo M, et al. Dopamine transporter availability in motor subtypes of de novo drug-naïve Parkinson’s disease. J Neurol. 2014;261(11):2112-2118.
38. Siepel FJ, Brønnick KS, Booij J, et al. Cognitive executive impairment and dopaminergic deficits in de novo Parkinson’s disease. Mov Disord. 2014;29(14):1802-1808.
39. Iranzo A, Valldeoriola F, Lomeña F, et al. Serial dopamine transporter imaging of nigrostriatal function in patients with idiopathic rapid-eye-movement sleep behaviour disorder: a prospective study. Lancet Neurol. 2011;10(9):797-805.
40. Booij J, Kemp P. Dopamine transporter imaging with [(123)I]FP-CIT SPECT: potential effects of drugs. Eur J Nucl Med Mol Imaging. 2008;35(2):424-438.
41. Gellad WF, Aspinall SL, Handler SM, et al. Use of antipsychotics among older residents in VA nursing homes. Med Care. 2012;50(11):954-960.
42. Mauri MC, Paletta S, Maffini M, et al. Clinical pharmacology of atypical antipsychotics: an update. EXCLI J. 2014;13:1163-1191.
43. Morley JF, Duda JE. Use of hyposmia and other non-motor symptoms to distinguish between drug-induced parkinsonism and Parkinson’s disease. J Parkinsons Dis. 2014;4(2):169-173.
44. Morley JF, Cheng G, Dubroff JG, Wood S, Wilkinson JR, Duda JE. Olfactory impairment predicts underlying dopaminergic deficit in presumed drug-induced parkinsonism. Mov Disord Clin Pract. 2017;4(4):603-606.
45. Whitwell JL, Höglinger GU, Antonini A, et al; Movement Disorder Society-endorsed PSP Study Group. Radiological biomarkers for diagnosis in PSP: where are we and where do we need to be? Mov Disord. 2017;32(7):955-971.
46. Laurens B, Constantinescu R, Freeman R, et al. Fluid biomarkers in multiple system atrophy: A review of the MSA Biomarker Initiative. Neurobiol Dis. 2015;80:29-41.
47. Barber TR, Klein JC, Mackay CE, Hu MTM. Neuroimaging in pre-motor Parkinson’s disease. NeuroImage Clin. 2017;15:215-227.
48. Parkinson Progression Marker Initiative. The Parkinson Progression Marker Initiative (PPMI). Prog Neurobiol. 2011;95(4):629-635.
49. Meles SK, Vadasz D, Renken RJ, et al. FDG PET, dopamine transporter SPECT, and olfaction: combining biomarkers in REM sleep behavior disorder. Mov Disord. 2017;32(10):1482-1486.
50. Noyce AJ, R’Bibo L, Peress L, et al. PREDICT‐PD: an online approach to prospectively identify risk indicators of Parkinson’s disease. Mov Disord. 2017 Feb; 32(2): 219–226.
51. Searles Nielsen S, Warden MN, Camacho-Soto A, Willis AW, Wright BA, Racette BA. A predictive model to identify Parkinson disease from administrative claims data. Neurology. 2017;89(14):1448-1456.
52. Institute of Medicine. Veterans and Agent Orange: Update 2012. National Academies Press: Washington, DC; 2013.
53. Department of Veterans Affairs. Diseases associated with exposure to Contaminants in the Water Supply at Camp Lejeune. Final rule. Fed Regist. 2017;82(9):4173-4185.
54. Goldman SM, Quinlan PJ, Ross GW, et al. Solvent exposures and Parkinson disease risk in twins. Ann Neurol. 2012;71(6):776-784.
55. Liu M, Shin EJ, Dang DK, et al. Trichloroethylene and Parkinson’s disease: risk assessment. Mol Neurobiol. 2018;55(7):6201-6214.
56. Betarbet R, Sherer TB, MacKenzie G, Garcia-Osuna M, Panov AV, Greenamyre JT. Chronic systemic pesticide exposure reproduces features of Parkinson’s disease. Nat Neurosci. 2000;3(12):1301-1306.
57. Manning-Bog AB, McCormack AL, Li J, Uversky VN, Fink AL, Monte DAD. The herbicide paraquat causes up-regulation and aggregation of alpha-synuclein in mice: paraquat and alpha-synuclein. J Biol Chem. 2002;277(3):1641-1644.
58. Camacho-Soto A, Warden MN, Searles Nielsen S, et al. Traumatic brain injury in the prodromal period of Parkinson’s disease: a large epidemiological study using medicare data. Ann Neurol. 2017;82(5):744-754.
59. Gardner RC, Burke JF, Nettiksimmons J, Goldman S, Tanner CM, Yaffe K. Traumatic brain injury in later life increases risk for Parkinson disease. Ann Neurol. 2015;77(6):987-995.
60. Gardner RC, Byers AL, Barnes DE, Li Y, Boscardin J, Yaffe K. Mild TBI and risk of Parkinson disease: a Chronic Effects of Neurotrauma Consortium Study. Neurology. 2018;90(20):e1771-e1779.
61. Cruz-Haces M, Tang J, Acosta G, Fernandez J, Shi R. Pathological correlations between traumatic brain injury and chronic neurodegenerative diseases. Transl Neurodegener. 2017;6:20.
62. Lee PC, Bordelon Y, Bronstein J, Ritz B. Traumatic brain injury, paraquat exposure, and their relationship to Parkinson disease. Neurology. 2012;79(20):2061-2066.
63. Disabilities that are proximately due to, or aggravated by, service-connected disease or injury. 38 CFR §3.310.
64. Diseases Associated With Exposure to Certain Herbicide Agents (Hairy Cell Leukemia and Other Chronic B-Cell Leukemias, Parkinson’s Disease and Ischemic Heart Disease). Federal Regist. 2010;75(173):53202-53216. To be codified at 38 CFR §3.
65. Cheng EM, Swarztrauber K, Siderowf AD, et al. Association of specialist involvement and quality of care for Parkinson’s disease. Mov Disord. 2007;22(4):515-522.
66. Qamar MA, Harington G, Trump S, Johnson J, Roberts F, Frost E. Multidisciplinary care in Parkinson’s disease. Int Rev Neurobiol. 2017;132:511-523.
67. Pogoda TK, Cramer IE, Meterko M, et al. Patient and organizational factors related to education and support use by veterans with Parkinson’s disease. Mov Disord. 2009;24(13):1916-1924.
Parkinson disease (PD) affects about 680,000 in the US, including > 110,000 veterans (Caroline Tanner, MD, PhD, unpublished data).1 In the next 10 years, this number is expected to double, in part because of the aging of the US population.1 Although the classic diagnostic criteria emphasize motor symptoms that include tremor, gait disturbance, and paucity of movement, there is increasing recognition that disease pathology begins decades before the development of motor impairment.2
Pathologic studies confirm that by the onset of motor symptoms, at least 30% of nigrostriatal neurons are lost or dysfunctional.3-5 Similarly, the Braak staging hypothesis posits initial deposition of Lewy bodies in the olfactory bulb and the dorsal motor nucleus of the vagus nerve, followed by prion-like spread through the brain stem into the midbrain/substantia nigra, and finally into the cortex (Figure 1).6
The decades-long prodromal or preclinical phase represents a unique opportunity for early identification of those at highest risk for developing the motor symptoms of Parkinson disease.7 Accurate identification, ideally before the onset of manifest motor disability, would not only improve prognostic counseling of veterans and families, but also could allow for early enrollment into trials of potentially disease-modifying therapeutic agents. Thus, early and accurate identification of PD is an important goal of the care of veterans with potential PD.
Prodromal Symptoms
Prodromal PD, as defined by the International Parkinson Disease and Movement Disorders Society (MDS), focuses on nonmotor symptoms that herald the onset of manifest motor PD.8 The most commonly assessed nonmotor features include olfaction, constipation, sleep disturbance, and mood disorders.
Olfaction is impaired in > 90% of patients with motor PD at the time of diagnosis; by contrast, the prevalence of hyposmia in the general population ranges from 20% to 50%, with higher rates in older adults and in smokers.9-11 Thus, olfaction appears to be a relatively sensitive, though nonspecific, prodromal feature. Importantly, subjective report of hyposmia is poorly reliable, so a number of different tests have been developed for objective assessment of olfactory dysfunction.12 The 12-item Brief Smell Identification Test (B-SIT), derived from the longer University of Pennsylvania Smell Identification Test, is a “scratch-and-sniff” forced multiple choice test that can be self-administered by cooperative patients.13,14 The B-SIT has been validated in multiple ethnic and cultural groups and shows high discrimination between PD subjects and controls.13,15 Of note, olfactory impairment appears to be associated with risk of cognitive decline in PD, further emphasizing the need for accurate assessment to guide prognosis.16
Like hyposmia, constipation can be noted long before the diagnosis of manifest motor PD.17 After adjustment for lifestyle factors, constipated individuals have up to 4.5-fold increased odds of developing PD, and those with constipation suffer worsened disease outcomes and health-related quality of life.17-20 Some groups have demonstrated alterations in gut microbiota of those with prodromal PD, which suggests local inflammatory processes and intestinal permeability may contribute to protein misfolding and disease development.21,22 This also raises the intriguing possibility that dietary alterations may be neuroprotective or neurorestorative, although this has yet to be tested in humans.23,24
Like constipation, mood changes can precede the appearance of manifest motor PD.25,26 Case control studies suggest a higher risk of developing PD among individuals who were previously diagnosed with depression or anxiety, particularly in the 1 to 2 years prior to PD diagnosis.27-29 Both apathy and anxiety are associated with striatal dopamine dysfunction, particularly in the right caudate nucleus, which suggests that mood changes are directly related to disease pathology.30,31
Of the prodromal features, rapid eye movement sleep behavior disorder (RBD) is associated with the highest risk of conversion to motor PD.8 Up to 80% of older men with socalled idiopathic RBD develop a parkinsonian syndrome within 20 years; risk is divided about equally between idiopathic PD and dementia with Lewy bodies (DLB).32 Collateral history from a bed-partner is usually sufficient to make the diagnosis, although, this is often confounded by the prevalence of nightmares in those with posttraumatic stress disorder in the veteran population.32 Thus, in suspected cases, obtaining a polysomnogram can aid in distinguishing between idiopathic PC and DLB.33 Given the specificity of RBD as a marker of synuclein deposition and the high risk of progression to a degenerative syndrome, accurate diagnosis and counseling is imperative.
Each of the prodromal nonmotor features of PD are at best moderately sensitive or specific in isolation, but in concert, they can be used to develop a Parkinson risk score. For instance, the MDS prodromal criteria combine individual likelihood ratios into Bayesian analysis to determine a combined probability of PD, which can be further stratified to probable or possible prodromal PD (probability > 80%, > 50%, respectively).8 These criteria have been applied to several independent cohorts and demonstrate high sensitivity and specificity, especially over time.34,35 Applicability in a veteran population has yet to be determined.
Use of Imaging in Diagnosis
Although clinical diagnostic criteria and prodromal features can improve diagnostic accuracy, it can be extremely challenging to distinguish idiopathic PD from nondegenerative parkinsonism or atypical syndromes (see below). Compared with the gold standard of pathologic assessment, the clinical diagnostic accuracy for PD ranges from 73% for nonexperts to 80% for fellowship-trained movement disorders specialists.36 Thus, objective biomarkers are sought to improve diagnostic accuracy both for clinical care as well as for research purposes, such as enrollment into clinical trials.
Multiple potential imaging biomarkers for preclinical PD can aid in early diagnosis and help differentiate PD from related but distinct disorders. While beyond the scope of this review, these techniques have recently been reviewed.7 Of these, the most widely available and accurate is dopamine transporter (DAT) imaging, which uses a radioiodinated ligand that binds to DAT on striatal dopaminergic terminals; binding is detected through single photon emission computed tomography (SPECT) scanning. Thus, a SPECT DaTscan (GE Healthcare Bio-Sciences, Little Chalfont, England) directly assesses the integrity of the presynaptic nigrostriatal system and is well correlated with severity of motor and nonmotor parkinsonism.37,38
In individuals with suspected prodromal PD, abnormal DaTscans are associated with faster progression to manifest motor PD.39 However, it should be noted that a number of medications, several of which are commonly utilized in the veteran population, can affect the outcome of a DaTscan.40 Some of these medications only mildly affect the outcome, so the physician interpreting the scan should be made aware of their use, while others need to be held for days to weeks so as not to invalidate the DaTscan. DaTscan also do not differentiate between PD and atypical degenerative parkinsonisms such as multiple system atrophy (MSA), DLB, progressive supranuclear palsy (PSP), or corticobasal syndrome (CBS). Nevertheless, these scans can be used to distinguish degenerative parkinsonisms from other conditions that can be difficult to distinguish clinically from PD, including essential tremor, normal pressure hydrocephalus, vascular parkinsonism, or druginduced parkinsonism (DIP).
DIP usually is caused by blockade of postsynaptic dopamine receptors by antipsychotic medications, which are prescribed to as many as 1 in 4 older veterans; antiemetic agents such as metoclopramide are also potential offenders if used chronically.41 The risk of DIP appears to be associated with the D2 binding affinity of the drug. Thus, of the newer atypical antipsychotics, clozapine and quetiapine appear to have the lowest risk, while ziprasidone and aripiprazole have the highest binding affinity and therefore the highest risk.42 In many patients, parkinsonism persists even after discontinuation of the offending agent, suggesting that in at least a subset of patients, DIP may be an “unmasking” of latent PD rather than a true adverse effect of the medication. The prodromal features discussed above can be used to distinguish isolated DIP from unmasked latent PD.43 In a study we conducted in veterans at the Michael J. Crescenz VA Medical Center in Philadelphia, Pennsylvania, hyposmia in particular was shown to be highly predictive of an underlying dopaminergic deficit with an odds ratio of 63.44
Other important considerations in the differential diagnosis of PD are the atypical degenerative parkinsonian syndromes, formerly called Parkinson plus syndromes. These may be further divided into the synucleinopathies (MSA, DLB) or the tauopathies (PSP, CBS), depending on the predominant amyloidogenic protein. Early in the disease, the atypical syndromes and idiopathic PD may be clinically indistinguishable, although the atypical syndromes tend to progress more rapidly and often have a less robust response to levodopa.
Radiologic and fluid biomarkers for the atypical syndromes are under active investigation; at present the most accessible study is magnetic resonance imaging (MRI), which may show characteristic features such as degeneration of the pontocerebellar fibers in MSA or midbrain atrophy in PSP.45,46 By contrast, standard MRI sequences in idiopathic PD are usually normal, although high-resolution (7 tesla) imaging can reveal loss of neuromelanin in the substantia nigra.47 MRI also can be useful in the workup of suspected normal pressure hydrocephalus or vascular parkinsonism, which would show disproportionate ventriculomegaly with transependymal flow, or white matter lesions in the basal ganglia, respectively.
Data-Based Identification of Preclinical PD
The integration of clinical motor or prodromal features with biomarker data has led to the development of several large-scale clinical and administrative databases to identify PD. The Parkinson Progression Markers Initiative initially enrolled only de novo clinically identified people with PD, but it expanded to include a prodromal cohort who are being assessed for rates of conversion to PD.48 Similarly, metabolic imaging can be combined with prodromal symptoms, such as hyposmia or RBD, to predict risk for phenoconversion into manifest motor PD.49
The PREDICT-PD study synthesizes mood symptoms, RBD, smell testing, genotyping, and keyboard-tapping tasks to divide individuals into high-, middle-, and low-risk groups; interim analysis at 3 years of follow-up (N = 842) demonstrated a hazard ratio of 4.39 (95% CI, 1.03-18.68) for the diagnosis of PD in the highrisk group compared with the low-risk group.50 Lastly, administrative claims data for prodromal features, such as constipation, RBD, and mood symptoms, is highly predictive of eventual PD diagnosis.51 VA databases accessed through the Corporate Data Warehouse are complementary sources of information to nonveteranspecific Medicare databases; to our knowledge there has not yet been a comprehensive search of VA databases to identify veterans with preclinical PD.
Risk Factors Associated With Military Service
A number of potential environmental risk factors may increase the risk of developing Parkinson disease for veterans. Perhaps the most commonly recognized is pesticide exposure, particularly given the presumptive service connections established by the VA for Parkinson disease and exposure to Agent Orange or contaminated water at Camp Lejeune.52,53 Both dioxin, the toxic ingredient in Agent Orange, and the solvents trichloroethylene and perchloroethylene, found in the water supply at Camp Lejeune, interfere with mitochondrial function leading to oxidative stress and apoptosis of nigrostriatal neurons.54,55 Other potential exposures, which are not necessarily limited to the veteran population, include rotenone, a phytochemical used to kill fish in reservoirs, and paraquat, an herbicide that may directly promote synuclein aggregation.56,57 Veterans who have reported exposure to these or other environmental chemicals in civilian life should be carefully assessed for the presence of motor PD or prodromal features.
Traumatic brain injury (TBI) also may be a risk factor for PD, which may be particularly relevant for veterans who had served in Iraq or Afghanistan. Retrospective claims data suggest a strong association between PD and recent TBI in the 5 to 10 years prior to motor PD diagnosis.58,59 A recent assessment of combat veterans with TBI found that even mild TBI was associated with a 56% increased risk of PD, while moderate-to-severe TBI was associated with an 83% higher risk of PD.60 The pathologic mechanism for this link is unclear, but post-TBI inflammatory processes may lead to the formation of reactive oxygen species and/or glutamatergic excitotoxicity, thus leading to secondary injury in the nigrostriatal pathway.61 As with prodromal symptoms, the risk of PD related to environmental risk factors may be synergistic; repetitive TBI may be more damaging than a single injury, and a combination of TBI and pesticide exposure markedly increases PD risk beyond the risk of TBI or the risk of pesticides alone.62 Recently, parkinsonism, including Parkinson disease, was recognized as a service connected condition for veterans with a servicerelated moderate or severe TBI.63
Conclusion
Because of the substantial impact on quality of life and disability-adjusted life years, early and accurate identification and management of veterans at risk for PD is an important priority area for the VA. The 10-year cost of PD-related benefits through the VA was estimated at $3.5 billion in fiscal year 2010, and that number is likely to rise in coming years, due to the aging population as well as synergistic effects of independent risk factors described above.64 In response, the VA has created a network of specialty care sites, known as Parkinson Disease Research, Education, and Clinical Centers (PADRECCs) located in Philadelphia, Pennsylvania; Richmond, Virginia; Houston, Texas; West Los Angeles and San Francisco, California; and Seattle, Washington/ Portland, Oregon (www.parkinsons.va.gov).
The PADRECCs are supplemented by a National VA PD Consortium network of VA physicians trained in PD management (Figure 2). Studies, including one investigating care of veterans with PD, have demonstrated that involvement of specialty care services early in the course of PD leads to improved patient outcomes.65,66 In addition to patient-facing resources such as support groups and specialized physical/occupational/speech therapy, PADRECCs and the consortium sites are national leaders in PD education and clinical trials and provide high-quality, multidisciplinary care for veterans with PD.67 Thus, veterans with significant risk factors or prodromal symptoms of PD should be referred into the PADRECC/Consortium network in order to maximize their quality of care and quality of life.
Parkinson disease (PD) affects about 680,000 in the US, including > 110,000 veterans (Caroline Tanner, MD, PhD, unpublished data).1 In the next 10 years, this number is expected to double, in part because of the aging of the US population.1 Although the classic diagnostic criteria emphasize motor symptoms that include tremor, gait disturbance, and paucity of movement, there is increasing recognition that disease pathology begins decades before the development of motor impairment.2
Pathologic studies confirm that by the onset of motor symptoms, at least 30% of nigrostriatal neurons are lost or dysfunctional.3-5 Similarly, the Braak staging hypothesis posits initial deposition of Lewy bodies in the olfactory bulb and the dorsal motor nucleus of the vagus nerve, followed by prion-like spread through the brain stem into the midbrain/substantia nigra, and finally into the cortex (Figure 1).6
The decades-long prodromal or preclinical phase represents a unique opportunity for early identification of those at highest risk for developing the motor symptoms of Parkinson disease.7 Accurate identification, ideally before the onset of manifest motor disability, would not only improve prognostic counseling of veterans and families, but also could allow for early enrollment into trials of potentially disease-modifying therapeutic agents. Thus, early and accurate identification of PD is an important goal of the care of veterans with potential PD.
Prodromal Symptoms
Prodromal PD, as defined by the International Parkinson Disease and Movement Disorders Society (MDS), focuses on nonmotor symptoms that herald the onset of manifest motor PD.8 The most commonly assessed nonmotor features include olfaction, constipation, sleep disturbance, and mood disorders.
Olfaction is impaired in > 90% of patients with motor PD at the time of diagnosis; by contrast, the prevalence of hyposmia in the general population ranges from 20% to 50%, with higher rates in older adults and in smokers.9-11 Thus, olfaction appears to be a relatively sensitive, though nonspecific, prodromal feature. Importantly, subjective report of hyposmia is poorly reliable, so a number of different tests have been developed for objective assessment of olfactory dysfunction.12 The 12-item Brief Smell Identification Test (B-SIT), derived from the longer University of Pennsylvania Smell Identification Test, is a “scratch-and-sniff” forced multiple choice test that can be self-administered by cooperative patients.13,14 The B-SIT has been validated in multiple ethnic and cultural groups and shows high discrimination between PD subjects and controls.13,15 Of note, olfactory impairment appears to be associated with risk of cognitive decline in PD, further emphasizing the need for accurate assessment to guide prognosis.16
Like hyposmia, constipation can be noted long before the diagnosis of manifest motor PD.17 After adjustment for lifestyle factors, constipated individuals have up to 4.5-fold increased odds of developing PD, and those with constipation suffer worsened disease outcomes and health-related quality of life.17-20 Some groups have demonstrated alterations in gut microbiota of those with prodromal PD, which suggests local inflammatory processes and intestinal permeability may contribute to protein misfolding and disease development.21,22 This also raises the intriguing possibility that dietary alterations may be neuroprotective or neurorestorative, although this has yet to be tested in humans.23,24
Like constipation, mood changes can precede the appearance of manifest motor PD.25,26 Case control studies suggest a higher risk of developing PD among individuals who were previously diagnosed with depression or anxiety, particularly in the 1 to 2 years prior to PD diagnosis.27-29 Both apathy and anxiety are associated with striatal dopamine dysfunction, particularly in the right caudate nucleus, which suggests that mood changes are directly related to disease pathology.30,31
Of the prodromal features, rapid eye movement sleep behavior disorder (RBD) is associated with the highest risk of conversion to motor PD.8 Up to 80% of older men with socalled idiopathic RBD develop a parkinsonian syndrome within 20 years; risk is divided about equally between idiopathic PD and dementia with Lewy bodies (DLB).32 Collateral history from a bed-partner is usually sufficient to make the diagnosis, although, this is often confounded by the prevalence of nightmares in those with posttraumatic stress disorder in the veteran population.32 Thus, in suspected cases, obtaining a polysomnogram can aid in distinguishing between idiopathic PC and DLB.33 Given the specificity of RBD as a marker of synuclein deposition and the high risk of progression to a degenerative syndrome, accurate diagnosis and counseling is imperative.
Each of the prodromal nonmotor features of PD are at best moderately sensitive or specific in isolation, but in concert, they can be used to develop a Parkinson risk score. For instance, the MDS prodromal criteria combine individual likelihood ratios into Bayesian analysis to determine a combined probability of PD, which can be further stratified to probable or possible prodromal PD (probability > 80%, > 50%, respectively).8 These criteria have been applied to several independent cohorts and demonstrate high sensitivity and specificity, especially over time.34,35 Applicability in a veteran population has yet to be determined.
Use of Imaging in Diagnosis
Although clinical diagnostic criteria and prodromal features can improve diagnostic accuracy, it can be extremely challenging to distinguish idiopathic PD from nondegenerative parkinsonism or atypical syndromes (see below). Compared with the gold standard of pathologic assessment, the clinical diagnostic accuracy for PD ranges from 73% for nonexperts to 80% for fellowship-trained movement disorders specialists.36 Thus, objective biomarkers are sought to improve diagnostic accuracy both for clinical care as well as for research purposes, such as enrollment into clinical trials.
Multiple potential imaging biomarkers for preclinical PD can aid in early diagnosis and help differentiate PD from related but distinct disorders. While beyond the scope of this review, these techniques have recently been reviewed.7 Of these, the most widely available and accurate is dopamine transporter (DAT) imaging, which uses a radioiodinated ligand that binds to DAT on striatal dopaminergic terminals; binding is detected through single photon emission computed tomography (SPECT) scanning. Thus, a SPECT DaTscan (GE Healthcare Bio-Sciences, Little Chalfont, England) directly assesses the integrity of the presynaptic nigrostriatal system and is well correlated with severity of motor and nonmotor parkinsonism.37,38
In individuals with suspected prodromal PD, abnormal DaTscans are associated with faster progression to manifest motor PD.39 However, it should be noted that a number of medications, several of which are commonly utilized in the veteran population, can affect the outcome of a DaTscan.40 Some of these medications only mildly affect the outcome, so the physician interpreting the scan should be made aware of their use, while others need to be held for days to weeks so as not to invalidate the DaTscan. DaTscan also do not differentiate between PD and atypical degenerative parkinsonisms such as multiple system atrophy (MSA), DLB, progressive supranuclear palsy (PSP), or corticobasal syndrome (CBS). Nevertheless, these scans can be used to distinguish degenerative parkinsonisms from other conditions that can be difficult to distinguish clinically from PD, including essential tremor, normal pressure hydrocephalus, vascular parkinsonism, or druginduced parkinsonism (DIP).
DIP usually is caused by blockade of postsynaptic dopamine receptors by antipsychotic medications, which are prescribed to as many as 1 in 4 older veterans; antiemetic agents such as metoclopramide are also potential offenders if used chronically.41 The risk of DIP appears to be associated with the D2 binding affinity of the drug. Thus, of the newer atypical antipsychotics, clozapine and quetiapine appear to have the lowest risk, while ziprasidone and aripiprazole have the highest binding affinity and therefore the highest risk.42 In many patients, parkinsonism persists even after discontinuation of the offending agent, suggesting that in at least a subset of patients, DIP may be an “unmasking” of latent PD rather than a true adverse effect of the medication. The prodromal features discussed above can be used to distinguish isolated DIP from unmasked latent PD.43 In a study we conducted in veterans at the Michael J. Crescenz VA Medical Center in Philadelphia, Pennsylvania, hyposmia in particular was shown to be highly predictive of an underlying dopaminergic deficit with an odds ratio of 63.44
Other important considerations in the differential diagnosis of PD are the atypical degenerative parkinsonian syndromes, formerly called Parkinson plus syndromes. These may be further divided into the synucleinopathies (MSA, DLB) or the tauopathies (PSP, CBS), depending on the predominant amyloidogenic protein. Early in the disease, the atypical syndromes and idiopathic PD may be clinically indistinguishable, although the atypical syndromes tend to progress more rapidly and often have a less robust response to levodopa.
Radiologic and fluid biomarkers for the atypical syndromes are under active investigation; at present the most accessible study is magnetic resonance imaging (MRI), which may show characteristic features such as degeneration of the pontocerebellar fibers in MSA or midbrain atrophy in PSP.45,46 By contrast, standard MRI sequences in idiopathic PD are usually normal, although high-resolution (7 tesla) imaging can reveal loss of neuromelanin in the substantia nigra.47 MRI also can be useful in the workup of suspected normal pressure hydrocephalus or vascular parkinsonism, which would show disproportionate ventriculomegaly with transependymal flow, or white matter lesions in the basal ganglia, respectively.
Data-Based Identification of Preclinical PD
The integration of clinical motor or prodromal features with biomarker data has led to the development of several large-scale clinical and administrative databases to identify PD. The Parkinson Progression Markers Initiative initially enrolled only de novo clinically identified people with PD, but it expanded to include a prodromal cohort who are being assessed for rates of conversion to PD.48 Similarly, metabolic imaging can be combined with prodromal symptoms, such as hyposmia or RBD, to predict risk for phenoconversion into manifest motor PD.49
The PREDICT-PD study synthesizes mood symptoms, RBD, smell testing, genotyping, and keyboard-tapping tasks to divide individuals into high-, middle-, and low-risk groups; interim analysis at 3 years of follow-up (N = 842) demonstrated a hazard ratio of 4.39 (95% CI, 1.03-18.68) for the diagnosis of PD in the highrisk group compared with the low-risk group.50 Lastly, administrative claims data for prodromal features, such as constipation, RBD, and mood symptoms, is highly predictive of eventual PD diagnosis.51 VA databases accessed through the Corporate Data Warehouse are complementary sources of information to nonveteranspecific Medicare databases; to our knowledge there has not yet been a comprehensive search of VA databases to identify veterans with preclinical PD.
Risk Factors Associated With Military Service
A number of potential environmental risk factors may increase the risk of developing Parkinson disease for veterans. Perhaps the most commonly recognized is pesticide exposure, particularly given the presumptive service connections established by the VA for Parkinson disease and exposure to Agent Orange or contaminated water at Camp Lejeune.52,53 Both dioxin, the toxic ingredient in Agent Orange, and the solvents trichloroethylene and perchloroethylene, found in the water supply at Camp Lejeune, interfere with mitochondrial function leading to oxidative stress and apoptosis of nigrostriatal neurons.54,55 Other potential exposures, which are not necessarily limited to the veteran population, include rotenone, a phytochemical used to kill fish in reservoirs, and paraquat, an herbicide that may directly promote synuclein aggregation.56,57 Veterans who have reported exposure to these or other environmental chemicals in civilian life should be carefully assessed for the presence of motor PD or prodromal features.
Traumatic brain injury (TBI) also may be a risk factor for PD, which may be particularly relevant for veterans who had served in Iraq or Afghanistan. Retrospective claims data suggest a strong association between PD and recent TBI in the 5 to 10 years prior to motor PD diagnosis.58,59 A recent assessment of combat veterans with TBI found that even mild TBI was associated with a 56% increased risk of PD, while moderate-to-severe TBI was associated with an 83% higher risk of PD.60 The pathologic mechanism for this link is unclear, but post-TBI inflammatory processes may lead to the formation of reactive oxygen species and/or glutamatergic excitotoxicity, thus leading to secondary injury in the nigrostriatal pathway.61 As with prodromal symptoms, the risk of PD related to environmental risk factors may be synergistic; repetitive TBI may be more damaging than a single injury, and a combination of TBI and pesticide exposure markedly increases PD risk beyond the risk of TBI or the risk of pesticides alone.62 Recently, parkinsonism, including Parkinson disease, was recognized as a service connected condition for veterans with a servicerelated moderate or severe TBI.63
Conclusion
Because of the substantial impact on quality of life and disability-adjusted life years, early and accurate identification and management of veterans at risk for PD is an important priority area for the VA. The 10-year cost of PD-related benefits through the VA was estimated at $3.5 billion in fiscal year 2010, and that number is likely to rise in coming years, due to the aging population as well as synergistic effects of independent risk factors described above.64 In response, the VA has created a network of specialty care sites, known as Parkinson Disease Research, Education, and Clinical Centers (PADRECCs) located in Philadelphia, Pennsylvania; Richmond, Virginia; Houston, Texas; West Los Angeles and San Francisco, California; and Seattle, Washington/ Portland, Oregon (www.parkinsons.va.gov).
The PADRECCs are supplemented by a National VA PD Consortium network of VA physicians trained in PD management (Figure 2). Studies, including one investigating care of veterans with PD, have demonstrated that involvement of specialty care services early in the course of PD leads to improved patient outcomes.65,66 In addition to patient-facing resources such as support groups and specialized physical/occupational/speech therapy, PADRECCs and the consortium sites are national leaders in PD education and clinical trials and provide high-quality, multidisciplinary care for veterans with PD.67 Thus, veterans with significant risk factors or prodromal symptoms of PD should be referred into the PADRECC/Consortium network in order to maximize their quality of care and quality of life.
1. Marras C, Beck JC, Bower JH, et al; Parkinson’s Foundation P4 Group. Prevalence of Parkinson’s disease across North America. NPJ Parkinsons Dis. 2018;4:21.
2. Postuma RB, Berg D, Stern M, et al. MDS clinical diagnostic criteria for Parkinson’s disease. Mov Disord. 2015;30(12):1591-1601.
3. Fearnley JM, Lees AJ. Ageing and Parkinson’s disease: substantia nigra regional selectivity. Brain. 1991;114(pt 5):2283-2301.
4. Greffard S, Verny M, Bonnet A-M, et al. Motor score of the Unified Parkinson Disease Rating Scale as a good predictor of Lewy body-associated neuronal loss in the substantia nigra. Arch Neurol. 2006;63(4):584-588.
5. Hilker R, Schweitzer K, Coburger S, et al. Nonlinear progression of Parkinson disease as determined by serial positron emission tomographic imaging of striatal fluorodopa F 18 activity. Arch Neurol. 2005;62(3):378-382.
6. Braak H, Del Tredici K, Rüb U, de Vos RAI, Jansen Steur ENH, Braak E. Staging of brain pathology related to sporadic Parkinson’s disease. Neurobiol Aging. 2003;24(2):197-211.
7. Mantri S, Morley JF, Siderowf AD. The importance of preclinical diagnostics in Parkinson disease. Parkinsonism Relat Disord. 2018;pii:S1353-8020(18)30396-1. [Epub ahead of print]
8. Berg D, Postuma RB, Adler CH, et al. MDS research criteria for prodromal Parkinson’s disease. Mov Disord. 2015;30(12):1600-1611.
9. Haehner A, Boesveldt S, Berendse HW, et al. Prevalence of smell loss in Parkinson’s disease – a multicenter study. Parkinsonism Relat Disord. 2009;15(7):490-494.
10. Mullol J, Alobid I, Mariño-Sánchez F, et al. Furthering the understanding of olfaction, prevalence of loss of smell and risk factors: a population-based survey (OLFACAT study). BMJ Open. 2012;2(6).pii:e001256.
11. Doty RL, Shaman P, Applebaum SL, Giberson R, Siksorski L, Rosenberg L. Smell identification ability: changes with age. Science. 1984;226(4681):1441-1443.
12. Doty RL. Olfactory dysfunction in Parkinson disease. Nat Rev Neurol. 2012;8(6):329-339.
13. Double KL, Rowe DB, Hayes M, et al. Identifying the pattern of olfactory deficits in Parkinson disease using the brief smell identification test. Arch Neurol. 2003;60(4):545-549.
14. Doty RL, Shaman P, Dann M. Development of the University of Pennsylvania Smell Identification Test: a standardized microencapsulated test of olfactory function. Physiol Behav. 1984;32(3):489-502.
15. Morley JF, Cohen A, Silveira-Moriyama L, et al. Optimizing olfactory testing for the diagnosis of Parkinson’s disease: item analysis of the University of Pennsylvania smell identification test. NPJ Parkinsons Dis. 2018;4:2.
16. Fullard ME, Tran B, Xie SX, et al. Olfactory impairment predicts cognitive decline in early Parkinson’s disease. Parkinsonism Relat Disord. 2016;25:45-51.
17. Savica R, Carlin JM, Grossardt BR, et al. Medical records documentation of constipation preceding Parkinson disease: a case-control study. Neurology. 2009;73(21):1752-1758.
18. Abbott RD, Petrovitch H, White LR, et al. Frequency of bowel movements and the future risk of Parkinson’s disease. Neurology. 2001;57(3):456-462.
19. Stocchi F, Torti M. Constipation in Parkinson’s disease. Int Rev Neurobiol. 2017;134:811-826.
20. Yu QJ, Yu SY, Zuo LJ, et al. Parkinson disease with constipation: clinical features and relevant factors. Sci Rep. 2018;8(1):567.
21. Hill-Burns EM, Debelius JW, Morton JT, et al. Parkinson’s disease and Parkinson’s disease medications have distinct signatures of the gut microbiome. Mov Disord. 2017;32(5):739-749.
22. Mulak A, Bonaz B. Brain-gut-microbiota axis in Parkinson’s disease. World J Gastroenterol. 2015;21(37): 10609-10620.
23. Shah SP, Duda JE. Dietary modifications in Parkinson’s disease: a neuroprotective intervention? Med Hypotheses. 2015;85(6):1002-1005.
24. Perez-Pardo P, de Jong EM, Broersen LM, et al. Promising effects of neurorestorative diets on motor, cognitive, and gastrointestinal dysfunction after symptom development in a mouse model of Parkinson’s disease. Front Aging Neurosci. 2017;9:57.
25. Fang F, Xu Q, Park Y, et al. Depression and the subsequent risk of Parkinson’s disease in the NIH-AARP Diet and Health Study. Mov Disord. 2010;25(9):1157-1162.
26. Leentjens AFG, Van den Akker M, Metsemakers JFM, Lousberg R, Verhey FRJ. Higher incidence of depression preceding the onset of Parkinson’s disease: a register study. Mov Disord. 2003;18(4):414-418.
27. Alonso A, Rodriguez LAG, Logroscino G, Hernán MA. Use of antidepressants and the risk of Parkinson’s disease: a prospective study. J Neurol Neurosurg Psychiatry. 2009;80(6):671-674.
28. Weisskopf MG, Chen H, Schwarzschild MA, Kawachi I, Ascherio A. Prospective study of phobic anxiety and risk of Parkinson’s disease. Mov Disord. 2003;18(6):646-651.
29. Darweesh SK, Verlinden VJ, Stricker BH, Hofman A, Koudstaal PJ, Ikram MA. Trajectories of prediagnostic functioning in Parkinson’s disease. Brain. 2017;140(2):429-441.
30. Santangelo G, Vitale C, Picillo M, et al. Apathy and striatal dopamine transporter levels in de-novo, untreated Parkinson’s disease patients. Parkinsonism Relat Disord. 2015;21(5):489-493.
31. Erro R, Pappatà S, Amboni M, et al. Anxiety is associated with striatal dopamine transporter availability in newly diagnosed untreated Parkinson’s disease patients. Parkinsonism Relat Disord. 2012;18(9):1034-1038.
32. Schenck CH, Boeve BF, Mahowald MW. Delayed emergence of a parkinsonian disorder or dementia in 81% of older men initially diagnosed with idiopathic rapid eye movement sleep behavior disorder: a 16-year update on a previously reported series. Sleep Med. 2013;14(8):
744-748.
33. Melendez J, Hesselbacher S, Sharafkhaneh A, Hirshkowitz M. Assessment of REM sleep behavior disorder in veterans with posttraumatic stress disorder. Chest. 2011;140(4):967A.
34. Pilotto A, Heinzel S, Suenkel U, et al. Application of the movement disorder society prodromal Parkinson’s disease research criteria in 2 independent prospective cohorts. Mov Disord. 2017;32(7):1025-1034.
35. Fereshtehnejad S-M, Montplaisir JY, Pelletier A, Gagnon J-F, Berg D, Postuma RB. Validation of the MDS research criteria for prodromal Parkinson’s disease: Longitudinal assessment in a REM sleep behavior disorder (RBD) cohort. Mov Disord. 2017;32(6):865-873.
36. Rizzo G, Copetti M, Arcuti S, Martino D, Fontana A, Logroscino G. Accuracy of clinical diagnosis of Parkinson disease: a systematic review and meta-analysis. Neurology. 2016;86(6):566-576.
37. Moccia M, Pappatà S, Picillo M, et al. Dopamine transporter availability in motor subtypes of de novo drug-naïve Parkinson’s disease. J Neurol. 2014;261(11):2112-2118.
38. Siepel FJ, Brønnick KS, Booij J, et al. Cognitive executive impairment and dopaminergic deficits in de novo Parkinson’s disease. Mov Disord. 2014;29(14):1802-1808.
39. Iranzo A, Valldeoriola F, Lomeña F, et al. Serial dopamine transporter imaging of nigrostriatal function in patients with idiopathic rapid-eye-movement sleep behaviour disorder: a prospective study. Lancet Neurol. 2011;10(9):797-805.
40. Booij J, Kemp P. Dopamine transporter imaging with [(123)I]FP-CIT SPECT: potential effects of drugs. Eur J Nucl Med Mol Imaging. 2008;35(2):424-438.
41. Gellad WF, Aspinall SL, Handler SM, et al. Use of antipsychotics among older residents in VA nursing homes. Med Care. 2012;50(11):954-960.
42. Mauri MC, Paletta S, Maffini M, et al. Clinical pharmacology of atypical antipsychotics: an update. EXCLI J. 2014;13:1163-1191.
43. Morley JF, Duda JE. Use of hyposmia and other non-motor symptoms to distinguish between drug-induced parkinsonism and Parkinson’s disease. J Parkinsons Dis. 2014;4(2):169-173.
44. Morley JF, Cheng G, Dubroff JG, Wood S, Wilkinson JR, Duda JE. Olfactory impairment predicts underlying dopaminergic deficit in presumed drug-induced parkinsonism. Mov Disord Clin Pract. 2017;4(4):603-606.
45. Whitwell JL, Höglinger GU, Antonini A, et al; Movement Disorder Society-endorsed PSP Study Group. Radiological biomarkers for diagnosis in PSP: where are we and where do we need to be? Mov Disord. 2017;32(7):955-971.
46. Laurens B, Constantinescu R, Freeman R, et al. Fluid biomarkers in multiple system atrophy: A review of the MSA Biomarker Initiative. Neurobiol Dis. 2015;80:29-41.
47. Barber TR, Klein JC, Mackay CE, Hu MTM. Neuroimaging in pre-motor Parkinson’s disease. NeuroImage Clin. 2017;15:215-227.
48. Parkinson Progression Marker Initiative. The Parkinson Progression Marker Initiative (PPMI). Prog Neurobiol. 2011;95(4):629-635.
49. Meles SK, Vadasz D, Renken RJ, et al. FDG PET, dopamine transporter SPECT, and olfaction: combining biomarkers in REM sleep behavior disorder. Mov Disord. 2017;32(10):1482-1486.
50. Noyce AJ, R’Bibo L, Peress L, et al. PREDICT‐PD: an online approach to prospectively identify risk indicators of Parkinson’s disease. Mov Disord. 2017 Feb; 32(2): 219–226.
51. Searles Nielsen S, Warden MN, Camacho-Soto A, Willis AW, Wright BA, Racette BA. A predictive model to identify Parkinson disease from administrative claims data. Neurology. 2017;89(14):1448-1456.
52. Institute of Medicine. Veterans and Agent Orange: Update 2012. National Academies Press: Washington, DC; 2013.
53. Department of Veterans Affairs. Diseases associated with exposure to Contaminants in the Water Supply at Camp Lejeune. Final rule. Fed Regist. 2017;82(9):4173-4185.
54. Goldman SM, Quinlan PJ, Ross GW, et al. Solvent exposures and Parkinson disease risk in twins. Ann Neurol. 2012;71(6):776-784.
55. Liu M, Shin EJ, Dang DK, et al. Trichloroethylene and Parkinson’s disease: risk assessment. Mol Neurobiol. 2018;55(7):6201-6214.
56. Betarbet R, Sherer TB, MacKenzie G, Garcia-Osuna M, Panov AV, Greenamyre JT. Chronic systemic pesticide exposure reproduces features of Parkinson’s disease. Nat Neurosci. 2000;3(12):1301-1306.
57. Manning-Bog AB, McCormack AL, Li J, Uversky VN, Fink AL, Monte DAD. The herbicide paraquat causes up-regulation and aggregation of alpha-synuclein in mice: paraquat and alpha-synuclein. J Biol Chem. 2002;277(3):1641-1644.
58. Camacho-Soto A, Warden MN, Searles Nielsen S, et al. Traumatic brain injury in the prodromal period of Parkinson’s disease: a large epidemiological study using medicare data. Ann Neurol. 2017;82(5):744-754.
59. Gardner RC, Burke JF, Nettiksimmons J, Goldman S, Tanner CM, Yaffe K. Traumatic brain injury in later life increases risk for Parkinson disease. Ann Neurol. 2015;77(6):987-995.
60. Gardner RC, Byers AL, Barnes DE, Li Y, Boscardin J, Yaffe K. Mild TBI and risk of Parkinson disease: a Chronic Effects of Neurotrauma Consortium Study. Neurology. 2018;90(20):e1771-e1779.
61. Cruz-Haces M, Tang J, Acosta G, Fernandez J, Shi R. Pathological correlations between traumatic brain injury and chronic neurodegenerative diseases. Transl Neurodegener. 2017;6:20.
62. Lee PC, Bordelon Y, Bronstein J, Ritz B. Traumatic brain injury, paraquat exposure, and their relationship to Parkinson disease. Neurology. 2012;79(20):2061-2066.
63. Disabilities that are proximately due to, or aggravated by, service-connected disease or injury. 38 CFR §3.310.
64. Diseases Associated With Exposure to Certain Herbicide Agents (Hairy Cell Leukemia and Other Chronic B-Cell Leukemias, Parkinson’s Disease and Ischemic Heart Disease). Federal Regist. 2010;75(173):53202-53216. To be codified at 38 CFR §3.
65. Cheng EM, Swarztrauber K, Siderowf AD, et al. Association of specialist involvement and quality of care for Parkinson’s disease. Mov Disord. 2007;22(4):515-522.
66. Qamar MA, Harington G, Trump S, Johnson J, Roberts F, Frost E. Multidisciplinary care in Parkinson’s disease. Int Rev Neurobiol. 2017;132:511-523.
67. Pogoda TK, Cramer IE, Meterko M, et al. Patient and organizational factors related to education and support use by veterans with Parkinson’s disease. Mov Disord. 2009;24(13):1916-1924.
1. Marras C, Beck JC, Bower JH, et al; Parkinson’s Foundation P4 Group. Prevalence of Parkinson’s disease across North America. NPJ Parkinsons Dis. 2018;4:21.
2. Postuma RB, Berg D, Stern M, et al. MDS clinical diagnostic criteria for Parkinson’s disease. Mov Disord. 2015;30(12):1591-1601.
3. Fearnley JM, Lees AJ. Ageing and Parkinson’s disease: substantia nigra regional selectivity. Brain. 1991;114(pt 5):2283-2301.
4. Greffard S, Verny M, Bonnet A-M, et al. Motor score of the Unified Parkinson Disease Rating Scale as a good predictor of Lewy body-associated neuronal loss in the substantia nigra. Arch Neurol. 2006;63(4):584-588.
5. Hilker R, Schweitzer K, Coburger S, et al. Nonlinear progression of Parkinson disease as determined by serial positron emission tomographic imaging of striatal fluorodopa F 18 activity. Arch Neurol. 2005;62(3):378-382.
6. Braak H, Del Tredici K, Rüb U, de Vos RAI, Jansen Steur ENH, Braak E. Staging of brain pathology related to sporadic Parkinson’s disease. Neurobiol Aging. 2003;24(2):197-211.
7. Mantri S, Morley JF, Siderowf AD. The importance of preclinical diagnostics in Parkinson disease. Parkinsonism Relat Disord. 2018;pii:S1353-8020(18)30396-1. [Epub ahead of print]
8. Berg D, Postuma RB, Adler CH, et al. MDS research criteria for prodromal Parkinson’s disease. Mov Disord. 2015;30(12):1600-1611.
9. Haehner A, Boesveldt S, Berendse HW, et al. Prevalence of smell loss in Parkinson’s disease – a multicenter study. Parkinsonism Relat Disord. 2009;15(7):490-494.
10. Mullol J, Alobid I, Mariño-Sánchez F, et al. Furthering the understanding of olfaction, prevalence of loss of smell and risk factors: a population-based survey (OLFACAT study). BMJ Open. 2012;2(6).pii:e001256.
11. Doty RL, Shaman P, Applebaum SL, Giberson R, Siksorski L, Rosenberg L. Smell identification ability: changes with age. Science. 1984;226(4681):1441-1443.
12. Doty RL. Olfactory dysfunction in Parkinson disease. Nat Rev Neurol. 2012;8(6):329-339.
13. Double KL, Rowe DB, Hayes M, et al. Identifying the pattern of olfactory deficits in Parkinson disease using the brief smell identification test. Arch Neurol. 2003;60(4):545-549.
14. Doty RL, Shaman P, Dann M. Development of the University of Pennsylvania Smell Identification Test: a standardized microencapsulated test of olfactory function. Physiol Behav. 1984;32(3):489-502.
15. Morley JF, Cohen A, Silveira-Moriyama L, et al. Optimizing olfactory testing for the diagnosis of Parkinson’s disease: item analysis of the University of Pennsylvania smell identification test. NPJ Parkinsons Dis. 2018;4:2.
16. Fullard ME, Tran B, Xie SX, et al. Olfactory impairment predicts cognitive decline in early Parkinson’s disease. Parkinsonism Relat Disord. 2016;25:45-51.
17. Savica R, Carlin JM, Grossardt BR, et al. Medical records documentation of constipation preceding Parkinson disease: a case-control study. Neurology. 2009;73(21):1752-1758.
18. Abbott RD, Petrovitch H, White LR, et al. Frequency of bowel movements and the future risk of Parkinson’s disease. Neurology. 2001;57(3):456-462.
19. Stocchi F, Torti M. Constipation in Parkinson’s disease. Int Rev Neurobiol. 2017;134:811-826.
20. Yu QJ, Yu SY, Zuo LJ, et al. Parkinson disease with constipation: clinical features and relevant factors. Sci Rep. 2018;8(1):567.
21. Hill-Burns EM, Debelius JW, Morton JT, et al. Parkinson’s disease and Parkinson’s disease medications have distinct signatures of the gut microbiome. Mov Disord. 2017;32(5):739-749.
22. Mulak A, Bonaz B. Brain-gut-microbiota axis in Parkinson’s disease. World J Gastroenterol. 2015;21(37): 10609-10620.
23. Shah SP, Duda JE. Dietary modifications in Parkinson’s disease: a neuroprotective intervention? Med Hypotheses. 2015;85(6):1002-1005.
24. Perez-Pardo P, de Jong EM, Broersen LM, et al. Promising effects of neurorestorative diets on motor, cognitive, and gastrointestinal dysfunction after symptom development in a mouse model of Parkinson’s disease. Front Aging Neurosci. 2017;9:57.
25. Fang F, Xu Q, Park Y, et al. Depression and the subsequent risk of Parkinson’s disease in the NIH-AARP Diet and Health Study. Mov Disord. 2010;25(9):1157-1162.
26. Leentjens AFG, Van den Akker M, Metsemakers JFM, Lousberg R, Verhey FRJ. Higher incidence of depression preceding the onset of Parkinson’s disease: a register study. Mov Disord. 2003;18(4):414-418.
27. Alonso A, Rodriguez LAG, Logroscino G, Hernán MA. Use of antidepressants and the risk of Parkinson’s disease: a prospective study. J Neurol Neurosurg Psychiatry. 2009;80(6):671-674.
28. Weisskopf MG, Chen H, Schwarzschild MA, Kawachi I, Ascherio A. Prospective study of phobic anxiety and risk of Parkinson’s disease. Mov Disord. 2003;18(6):646-651.
29. Darweesh SK, Verlinden VJ, Stricker BH, Hofman A, Koudstaal PJ, Ikram MA. Trajectories of prediagnostic functioning in Parkinson’s disease. Brain. 2017;140(2):429-441.
30. Santangelo G, Vitale C, Picillo M, et al. Apathy and striatal dopamine transporter levels in de-novo, untreated Parkinson’s disease patients. Parkinsonism Relat Disord. 2015;21(5):489-493.
31. Erro R, Pappatà S, Amboni M, et al. Anxiety is associated with striatal dopamine transporter availability in newly diagnosed untreated Parkinson’s disease patients. Parkinsonism Relat Disord. 2012;18(9):1034-1038.
32. Schenck CH, Boeve BF, Mahowald MW. Delayed emergence of a parkinsonian disorder or dementia in 81% of older men initially diagnosed with idiopathic rapid eye movement sleep behavior disorder: a 16-year update on a previously reported series. Sleep Med. 2013;14(8):
744-748.
33. Melendez J, Hesselbacher S, Sharafkhaneh A, Hirshkowitz M. Assessment of REM sleep behavior disorder in veterans with posttraumatic stress disorder. Chest. 2011;140(4):967A.
34. Pilotto A, Heinzel S, Suenkel U, et al. Application of the movement disorder society prodromal Parkinson’s disease research criteria in 2 independent prospective cohorts. Mov Disord. 2017;32(7):1025-1034.
35. Fereshtehnejad S-M, Montplaisir JY, Pelletier A, Gagnon J-F, Berg D, Postuma RB. Validation of the MDS research criteria for prodromal Parkinson’s disease: Longitudinal assessment in a REM sleep behavior disorder (RBD) cohort. Mov Disord. 2017;32(6):865-873.
36. Rizzo G, Copetti M, Arcuti S, Martino D, Fontana A, Logroscino G. Accuracy of clinical diagnosis of Parkinson disease: a systematic review and meta-analysis. Neurology. 2016;86(6):566-576.
37. Moccia M, Pappatà S, Picillo M, et al. Dopamine transporter availability in motor subtypes of de novo drug-naïve Parkinson’s disease. J Neurol. 2014;261(11):2112-2118.
38. Siepel FJ, Brønnick KS, Booij J, et al. Cognitive executive impairment and dopaminergic deficits in de novo Parkinson’s disease. Mov Disord. 2014;29(14):1802-1808.
39. Iranzo A, Valldeoriola F, Lomeña F, et al. Serial dopamine transporter imaging of nigrostriatal function in patients with idiopathic rapid-eye-movement sleep behaviour disorder: a prospective study. Lancet Neurol. 2011;10(9):797-805.
40. Booij J, Kemp P. Dopamine transporter imaging with [(123)I]FP-CIT SPECT: potential effects of drugs. Eur J Nucl Med Mol Imaging. 2008;35(2):424-438.
41. Gellad WF, Aspinall SL, Handler SM, et al. Use of antipsychotics among older residents in VA nursing homes. Med Care. 2012;50(11):954-960.
42. Mauri MC, Paletta S, Maffini M, et al. Clinical pharmacology of atypical antipsychotics: an update. EXCLI J. 2014;13:1163-1191.
43. Morley JF, Duda JE. Use of hyposmia and other non-motor symptoms to distinguish between drug-induced parkinsonism and Parkinson’s disease. J Parkinsons Dis. 2014;4(2):169-173.
44. Morley JF, Cheng G, Dubroff JG, Wood S, Wilkinson JR, Duda JE. Olfactory impairment predicts underlying dopaminergic deficit in presumed drug-induced parkinsonism. Mov Disord Clin Pract. 2017;4(4):603-606.
45. Whitwell JL, Höglinger GU, Antonini A, et al; Movement Disorder Society-endorsed PSP Study Group. Radiological biomarkers for diagnosis in PSP: where are we and where do we need to be? Mov Disord. 2017;32(7):955-971.
46. Laurens B, Constantinescu R, Freeman R, et al. Fluid biomarkers in multiple system atrophy: A review of the MSA Biomarker Initiative. Neurobiol Dis. 2015;80:29-41.
47. Barber TR, Klein JC, Mackay CE, Hu MTM. Neuroimaging in pre-motor Parkinson’s disease. NeuroImage Clin. 2017;15:215-227.
48. Parkinson Progression Marker Initiative. The Parkinson Progression Marker Initiative (PPMI). Prog Neurobiol. 2011;95(4):629-635.
49. Meles SK, Vadasz D, Renken RJ, et al. FDG PET, dopamine transporter SPECT, and olfaction: combining biomarkers in REM sleep behavior disorder. Mov Disord. 2017;32(10):1482-1486.
50. Noyce AJ, R’Bibo L, Peress L, et al. PREDICT‐PD: an online approach to prospectively identify risk indicators of Parkinson’s disease. Mov Disord. 2017 Feb; 32(2): 219–226.
51. Searles Nielsen S, Warden MN, Camacho-Soto A, Willis AW, Wright BA, Racette BA. A predictive model to identify Parkinson disease from administrative claims data. Neurology. 2017;89(14):1448-1456.
52. Institute of Medicine. Veterans and Agent Orange: Update 2012. National Academies Press: Washington, DC; 2013.
53. Department of Veterans Affairs. Diseases associated with exposure to Contaminants in the Water Supply at Camp Lejeune. Final rule. Fed Regist. 2017;82(9):4173-4185.
54. Goldman SM, Quinlan PJ, Ross GW, et al. Solvent exposures and Parkinson disease risk in twins. Ann Neurol. 2012;71(6):776-784.
55. Liu M, Shin EJ, Dang DK, et al. Trichloroethylene and Parkinson’s disease: risk assessment. Mol Neurobiol. 2018;55(7):6201-6214.
56. Betarbet R, Sherer TB, MacKenzie G, Garcia-Osuna M, Panov AV, Greenamyre JT. Chronic systemic pesticide exposure reproduces features of Parkinson’s disease. Nat Neurosci. 2000;3(12):1301-1306.
57. Manning-Bog AB, McCormack AL, Li J, Uversky VN, Fink AL, Monte DAD. The herbicide paraquat causes up-regulation and aggregation of alpha-synuclein in mice: paraquat and alpha-synuclein. J Biol Chem. 2002;277(3):1641-1644.
58. Camacho-Soto A, Warden MN, Searles Nielsen S, et al. Traumatic brain injury in the prodromal period of Parkinson’s disease: a large epidemiological study using medicare data. Ann Neurol. 2017;82(5):744-754.
59. Gardner RC, Burke JF, Nettiksimmons J, Goldman S, Tanner CM, Yaffe K. Traumatic brain injury in later life increases risk for Parkinson disease. Ann Neurol. 2015;77(6):987-995.
60. Gardner RC, Byers AL, Barnes DE, Li Y, Boscardin J, Yaffe K. Mild TBI and risk of Parkinson disease: a Chronic Effects of Neurotrauma Consortium Study. Neurology. 2018;90(20):e1771-e1779.
61. Cruz-Haces M, Tang J, Acosta G, Fernandez J, Shi R. Pathological correlations between traumatic brain injury and chronic neurodegenerative diseases. Transl Neurodegener. 2017;6:20.
62. Lee PC, Bordelon Y, Bronstein J, Ritz B. Traumatic brain injury, paraquat exposure, and their relationship to Parkinson disease. Neurology. 2012;79(20):2061-2066.
63. Disabilities that are proximately due to, or aggravated by, service-connected disease or injury. 38 CFR §3.310.
64. Diseases Associated With Exposure to Certain Herbicide Agents (Hairy Cell Leukemia and Other Chronic B-Cell Leukemias, Parkinson’s Disease and Ischemic Heart Disease). Federal Regist. 2010;75(173):53202-53216. To be codified at 38 CFR §3.
65. Cheng EM, Swarztrauber K, Siderowf AD, et al. Association of specialist involvement and quality of care for Parkinson’s disease. Mov Disord. 2007;22(4):515-522.
66. Qamar MA, Harington G, Trump S, Johnson J, Roberts F, Frost E. Multidisciplinary care in Parkinson’s disease. Int Rev Neurobiol. 2017;132:511-523.
67. Pogoda TK, Cramer IE, Meterko M, et al. Patient and organizational factors related to education and support use by veterans with Parkinson’s disease. Mov Disord. 2009;24(13):1916-1924.
Hemolytic Uremic Syndrome With Severe Neurologic Complications in an Adult (FULL)
The case of a female presenting with Shiga toxin-producing Escherichia coli and hemolytic uremic syndrome highlights a severe neurologic complication that canbe associated with these conditions.
Hemolytic uremic syndrome (HUS) is a rare illness that can be acquired through the consumption of food products contaminated with strains of Shiga toxin-producing Escherichia coli (E coli; STEC).1 Between 6% and 15% of individuals infected with STEC develop HUS, with children affected more frequently than adults.2,3 This strain of E coli releases Shiga toxin into the systemic circulation, which causes a thrombotic microangiopathy resulting in the characteristic HUS triad of symptoms: acute renal insufficiency, thrombocytopenia, and hemolytic anemia.4-6
Although neurologic features are common in HUS, they have not been extensively studied, particularly in adults. We report a case of STEC 0157:H7 subtype HUS in an adult with severe neurologic complications. This case highlights the neurological sequelae in an adult with typical STEC-HUS. The use of treatment modalities, such as plasmapheresis and eculizumab, and their use in adult typical STEC-HUS also is explored.
Case
A 53-year-old white woman with no pertinent past medical history presented to the Bay Pines Veterans Affairs Healthcare System Emergency Department with a 2-day history of abdominal pain, vomiting, nausea, diarrhea, and bright bloody stools. She returned from a cruise to the Bahamas 3 days prior, where she ate local foods, including salads. She reported no fever, shortness of breath, chest pain, headache, and cognitive difficulties. She presented with a normal mental status and neurologic exam. Apart from leukocytosis and elevated glucose level, her laboratory results at initial presentation were normal, (Table). A stool sample showed occult blood with white blood cell counts (WBCs) but was negative for Clostridium difficile. She was started on ciprofloxacin 400 mg and metronidazole 500 mg on the day of admission.
Hematuria was found on hospital day 2. On hospital day 4, the patient exhibited word finding difficulties. Blood studies revealed anemia, thrombocytopenia, leukocytosis, and increasing blood urea nitrogen (BUN) and creatinine. A computed tomography scan of the head was normal. Laboratory analysis showed schistocytes in the peripheral blood smear.
The patient’s cognitive functioning deteriorated on hospital day 5. She was not oriented to time or place. Her laboratory results showed complement level C3 at 70 mg/dL (ref: 83-193 mg/dL) complement C4 at 12 mg/dL (ref: 15-57mg/dL). The patient exhibited oliguria and hyponatremia, as well as both metabolic and respiratory acidosis; dialysis was then initiated. Results from the stool sample that was collected on hospital day 1 were received and tested positive for Shiga toxin.
At this point, the patient’s presentation of hemolytic anemia and thrombocytopenia in the setting of acute bloody diarrheal illness with known Shiga toxin, schistocytes on blood smear, and lack of pertinent medical history for other causes of this presentation made STEC-HUS the leading differential diagnosis. Plasmapheresis was ordered and performed on hospital day 6 and 7. Shiga toxin was no longer detected in the stool and antibiotics were stopped on hospital day 7.
The patient’s progressive deterioration in mental status continued on hospital day 8. She was not oriented to time or place, unable to perform simple calculations, and could not spell the word “hand” backwards. Physicians observed repetitive jerking motions of the upper extremities that were worse on the left side. An electroencephalogram (EEG) revealed right hemispheric sharp waves that were thought to be epileptiform (Figure 1). The patient began taking levetiracetam 1500 mg IV with 750 mg bid maintenance for seizure control. Plasmapheresis was discontinued due to her continued neurologic deterioration on this therapy. Consequently, eculizumab 900 mg IV was given along with the Neisseria meningitidis (N meningitidis) vaccine and a 19-day course of azithromycin 250 mg po as prophylaxis for encapsulated bacteria.
The patient continued to seize on hospital days 10 through 13. Oculocephalic maneuvers showed a tendency to keep her eyes deviated to the right. Her pupils continued to react to light. A repeat EEG showed diffuse slowing (5-6 Hz) with no epileptic activity seen (Figure 2). A second dose of eculizumab 900 mg IV was administered on hospital day 15. The patient experienced cardiac arrest on hospital day 16 and was successfully resuscitated. On hospital day 25 (10 days after receiving her second dose of eculizumab), the patient was able to speak and follow simple commands but exhibited difficulty concentrating and poor impulse control.
The patient was alert and oriented to person, place, time, and situation on hospital day 28 (6 days after the third and final dose of eculizumab). A neurologic exam was significant only for a slight intention tremor. She was continued on levetiracetam with a plan to be maintained on the medication for the next 6 months for seizure control. She was discharged on hospital day 30.
Twenty-eight days postdischarge (57 days postadmission), the patient showed marked recovery. She had returned to her previous employment as a business administrator on a part-time basis and exhibited no deficiencies in executive functioning or handling activities of daily living. Although she had been very active prior to this illness, she now experienced decreased physical and mental endurance; however, this gradually improved with physical therapy. She planned on returning to work on a full-time basis when she had regained her stamina. She also noticed difficulties in retaining short term memory since her discharge but believed that these symptoms were remitting. On examination her mental status and neurologic exam was significant for inability to continue serial 7s, left sided 4/5 muscle strength in quadriceps and thumb to 5th metacarpal adduction, bilateral 1+ reflexes in muscle groups tested (triceps, biceps, brachioradialis, patellar, and Achilles), loss of dull pinprick sensation bilaterally at web of hands, deficit in tandem gait while looking away, and slight intention tremor on finger to nose testing bilaterally (with left hand tremor more pronounced than right). Her complete blood count was normal. Her recovery continues to be monitored in an outpatient setting.
Discussion
HUS is characterized by 3 core clinical features: microangiopathic hemolytic anemia, thrombocytopenia, and acute kidney injury.4 Schistocytes are seen on peripheral blood smear and occur due to the passage of red blood cells over the microvascular thrombi induced by the disease. HUS can be classified as typical, atypical, or occurring with a coexisting disease. Typical HUS is associated with STEC 0157:H7 subtype, a bacterium known to be acquired through contaminated food and via human-to-human transmission.6-8 In the case of typical STEC 0157:H7, the bacterium releases a verotoxin that damages the vascular endothelium, thereby leading to activation of the coagulation cascade and eventually the formation of thrombi.4 It has been hypothesized that the Shiga toxin also activates the alternative complement pathway directly, which could contribute to thrombosis.9 This would explain the findings of low complement levels in our patient. Atypical HUS is primarily attributable to mutations in the alternative complement pathway. Causes for the third type of HUS can include Streptococcus pneumoniae, HIV, drug toxicity, and alterations in the metabolism of cobalamin C.
Epidemiologically, 15.3% of children aged < 5 years develop typical HUS after exposure to STEC compared with 1.2% of adults aged 18 to 59 years. The median age of patients who developed HUS from STEC exposure was 4 years compared with 16 years for those who did not develop HUS.2
Neurologic manifestations increase mortality for HUS patients.10 These have been described in the pediatric population as alteration in consciousness (85%), seizures (71%), pyramidal syndrome (52%), and extrapyramidal syndrome with hypertonia (42%).11 Brain imaging in children has demonstrated hemorrhagic lesions involving the pons, basal ganglia, and occipital cortex.11 Blood flow to areas such as the cerebellum, brainstem, and orbitofrontal area can be compromised.10 Adult patients with HUS can present without lesions on cranial magnetic resonance imaging (MRI), but instead with transient symmetric vasogenic edema of the central brain stem.12 Unfortunately in this case, MRI was not performed because it was thought to provide limited aid in diagnosis and to avoid unnecessary testing for the acutely ill patient.
The underlying pathophysiology of neurologic manifestations in patients may be due to a metabolic disturbance, toxin-mediated damage of the vascular endothelium, or toxin-induced cytokine release resulting in death of neural cells and subsequent neuroinflammation. However, the most likely mechanism is parenchymal ischemic changes related to microangiopathy.11,13 Pediatric patients often experience seizures and altered mental status, and their EEGs display delta waves.13 This patient’s diffuse slowing on her second EEG and altered mental status suggests that the neuropathologic mechanisms for typical HUS in adults may be similar to those in children.
HUS Treatment
The treatment and management of adults with typical STEC-HUS is evolving. The patient was first suspected to have an infectious colitis and empiric antibiotics were initiated. Some studies suggest that antibiotic administration may worsen the course of HUS in children as it may lead to release and subsequent absorption of Shiga toxin in the intestine.9,14 However, there is little evidence to suggest harm or efficacy of administration in adults. It is unclear what role antibiotic administration played in the recovery time of HUS given the co-administration of other treatments such as eculizumab and plasmapheresis, but it does appear to have helped with the initial E coli infection.
Plasmapheresis was subsequently administered, due to its documented benefit in the treatment of HUS.15 However, it should be noted that even though plasmapheresis is currently used in patients with CNS involvement, it remains unproven with conflicting information on its efficacy.3,16 The mechanism of action is unclear, but it has been hypothesized that plasmapheresis prevents microangiopathy caused by microthrombi.3,16 For this reason, eculizumab is becoming the mainstay for treatment of STEC-HUS with neurologic complications given the lack of well researched alternative treatments. In this case study, the use of plasmapheresis did not result in clinical improvement, and was abandoned after 2 days of treatment.
Eculizumab is a humanized, recombinant monoclonal IgG antibody that is a terminal complement inhibitor of the alternative complement system at the final step to cleave C5.17 The Shiga toxin may directly activate the complement system via the alternative pathway, which can result in uncontrolled platelet and white blood cell activation and depletion, endothelial cell damage, and hemolysis. The galvanized complement system leads to a series of cascading events that contribute to organ damage and death.9 Eculizumab is FDA approved for use in atypical HUS.18 It also can be used off-label to treat typical-HUS in adults with neurologic complications.
Eculizumab interferes with the immune response against encapsulated bacteria because it inhibits the alternative complement pathway. Thus, vaccination against N meningitides is recommended 2 weeks prior to the administration of eculizumab. However, in situations where the risks of delaying eculizumab for 2 weeks are greater than the risk of developing an N meningitides infection, eculizumab may be given without delay.18 Given the rapid deterioration of our patient’s condition, the vaccine and eculizumab were given together with prophylactic azithromycin. Although penicillin is the standard for prophylaxis in this situation, the patient’s penicillin allergy led to the use of azithromycin 250 mg po once a day. Literature also suggests azithromycin reduces the carriage duration of E coli-induced colitis.19 As such, it is possible that some improvement in the patient’s condition could be attributed to the elimination of the pathogen and toxin.
Conclusion
Three doses of eculizumab were administered at weekly intervals, with the first dose on hospital day 8 and the final dose on hospital day 22. Prior to the first dose, the patient displayed significant decline in mental status with EEG findings of right hemisphere epileptogenic discharges. After her third dose, she was found to have a drastically improved mental status exam and a normal EEG. One week later, she was discharged home. At the time of her 1-month follow-up, she was independent in all activities of daily living and had returned to part-time work. Apart from subtle cognitive changes, the remainder of her neurologic exam was normal.
There is evidence that supports the efficacy of eculizumab in children with HUS with neurologic symptoms on dialysis.20 However, its use in adults is not well established.21 This patient required dialysis and had neurologic symptoms similar to pediatric patients described in the literature, and responded similarly to the eculizumab. The rationale for the use of eculizumab in STEC-HUS also is evidenced by in vitro demonstrations of complement activation in STEC-HUS.22-25 This case report adds to the literature supporting the use of eculizumab in adult patients with typical HUS with neurological complications. Further research is necessary to develop guidelines in the treatment of adult STEC-HUS with regards to neurologic complications.
Acknowledgments
The authors would like to thank Pete DiStaso, REEGT for his work on obtaining the electroencephalograms and Anthony Rinaldi, PsyD; Julie Cessnapalas, PsyD; and Syed Faizan Sagheer for proof-reading the article.
1. Tarr PI, Gordon CA, Chandler WL. Shiga-toxin-producing Escherichia coli and haemolytic uraemic syndrome. Lancet. 2005;365(9464):1073-1086.
2. Gould LH, Demma L, Jones TF, et al. Hemolytic uremic syndrome and death in persons with Escherichia coli O157:H7 infection, foodborne diseases active surveillance network sites, 2000-2006. Clin Infect Dis. 2009;49(10):1480-1485.
3. Boyce TG, Swerdlow DL, Griffin PM. Escherichia coli O157:H7 and the hemolytic-uremic syndrome. N Engl J Med. 1995;333(6):364-368.
4. Rondeau E, Peraldi MN. Escherichia coli and the hemolytic-uremic syndrome. N Engl J Med. 1996;335(9):660-662.
5. Te Loo DM, van Hinsbergh VW, van den Heuvel LP, Monnens LA. Detection of verocytotoxin bound to circulating polymorphonuclear leukocytes of patients with hemolytic uremic syndrome. J Am Soc Nephrol. 2001;12(4):800-806.
6. Tran SL, Jenkins C, Livrelli V, Schüller S. Shiga toxin 2 translocation across intestinal epithelium is linked to virulence of Shiga toxin-producing Escherichia coli in humans. Microbiology. 2018;164(4):509-516.
7. Jokiranta TS. HUS and atypical HUS. Blood. 2017;129(21):2847-2856.
8. Ferens WA, Hovde CJ. Escherichia coli O157:H7: animal reservoir and sources of human infection. Foodborne Pathog Dis. 2011;8(4):465-487.
9. Percheron L, Gramada R, Tellier S, et al. Eculizumab treatment in severe pediatric STEC-HUS: a multicenter retrospective study. Pediatr Nephrol. 2018;33(8):1385-1394.
10. Hosaka T, Nakamagoe K, Tamaoka A. Hemolytic uremic syndrome-associated encephalopathy successfully treated with corticosteroids. Intern Med. 2017;56(21):2937-2941.
11. Nathanson S, Kwon T, Elmaleh M, et al. Acute neurological involvement in diarrhea-associated hemolytic uremic syndrome. Clin J Am Soc Nephrol. 2010;5(7):1218-1228.
12. Wengenroth M, Hoeltje J, Repenthin J, et al. Central nervous system involvement in adults with epidemic hemolytic uremic syndrome. AJNR Am J Neuroradiol. 2013;34(5):1016-1021, S1.
13. Eriksson KJ, Boyd SG, Tasker RC. Acute neurology and neurophysiology of haemolytic-uraemic syndrome. Arch Dis Child. 2001;84(5):434-435.
14. Wong CS, Jelacic S, Habeeb RL, Watkins SL, Tarr PI. The risk of the hemolytic-uremic syndrome after antibiotic treatment of Escherichia coli O157:H7 infections. N Engl J Med. 2000;342(26):1930-1936.
15. Nguyen TC, Kiss JE, Goldman JR, Carcillo JA. The role of plasmapheresis in critical illness. Crit Care Clin. 2012;28(3):453-468, vii.
16. Loos S, Ahlenstiel T, Kranz B, et al. An outbreak of Shiga toxin-producing Escherichia coli O104:H4 hemolytic uremic syndrome in Germany: presentation and short-term outcome in children. Clin Infect Dis. 2012;55(6):753-759.
17. Hossain MA, Cheema A, Kalathil S, et al. Atypical hemolytic uremic syndrome: Laboratory characteristics, complement-amplifying conditions, renal biopsy, and genetic mutations. Saudi J Kidney Dis Transpl. 2018;29(2):276-283.
18. Soliris (eculizumab) [package insert]. Cheshire, CT: Alexion Pharmaceuticals, Inc; 2011.
19. Keenswijk W, Raes A, Vande Walle J. Is eculizumab efficacious in Shigatoxin-associated hemolytic uremic syndrome? A narrative review of current evidence. Eur J Pediatr. 2018;177(3):311-318.
20. Lapeyraque AL, Malina M, Fremeaux-Bacchi V, et al. Eculizumab in severe Shiga-toxin-associated HUS. N Engl J Med. 2011;364(26):2561-2563.
21. Pape L, Hartmann H, Bange FC, Suerbaum S, Bueltmann E, Ahlenstiel-Grunow T. Eculizumab in typical hemolytic uremic syndrome (HUS) with neurological involvement. Medicine (Baltimore). 2015;94(24):e1000.
22. Kim Y, Miller K, Michael AF. Breakdown products of C3 and factor B in hemolytic-uremic syndrome. J Lab Clin Med. 1977;89(4):845-850.
23. Monnens L, Molenaar J, Lambert PH, Proesmans W, van Munster P. The complement system in hemolytic-uremic syndrome in childhood. Clin Nephrol. 1980;13(4):168-171.
24. Thurman JM, Marians R, Emlen W, et al. Alternative pathway of complement in children with diarrhea-associated hemolytic uremic syndrome. Clin J Am Soc Nephrol. 2009;4(12):1920-1924.
25. Ståhl AL, Sartz L, Karpman D. Complement activation on platelet-leukocyte complexes and microparticles in enterohemorrhagic Escherichia coli-induced hemolytic uremic syndrome. Blood. 2011;117(20):5503-5513.
The case of a female presenting with Shiga toxin-producing Escherichia coli and hemolytic uremic syndrome highlights a severe neurologic complication that canbe associated with these conditions.
The case of a female presenting with Shiga toxin-producing Escherichia coli and hemolytic uremic syndrome highlights a severe neurologic complication that canbe associated with these conditions.
Hemolytic uremic syndrome (HUS) is a rare illness that can be acquired through the consumption of food products contaminated with strains of Shiga toxin-producing Escherichia coli (E coli; STEC).1 Between 6% and 15% of individuals infected with STEC develop HUS, with children affected more frequently than adults.2,3 This strain of E coli releases Shiga toxin into the systemic circulation, which causes a thrombotic microangiopathy resulting in the characteristic HUS triad of symptoms: acute renal insufficiency, thrombocytopenia, and hemolytic anemia.4-6
Although neurologic features are common in HUS, they have not been extensively studied, particularly in adults. We report a case of STEC 0157:H7 subtype HUS in an adult with severe neurologic complications. This case highlights the neurological sequelae in an adult with typical STEC-HUS. The use of treatment modalities, such as plasmapheresis and eculizumab, and their use in adult typical STEC-HUS also is explored.
Case
A 53-year-old white woman with no pertinent past medical history presented to the Bay Pines Veterans Affairs Healthcare System Emergency Department with a 2-day history of abdominal pain, vomiting, nausea, diarrhea, and bright bloody stools. She returned from a cruise to the Bahamas 3 days prior, where she ate local foods, including salads. She reported no fever, shortness of breath, chest pain, headache, and cognitive difficulties. She presented with a normal mental status and neurologic exam. Apart from leukocytosis and elevated glucose level, her laboratory results at initial presentation were normal, (Table). A stool sample showed occult blood with white blood cell counts (WBCs) but was negative for Clostridium difficile. She was started on ciprofloxacin 400 mg and metronidazole 500 mg on the day of admission.
Hematuria was found on hospital day 2. On hospital day 4, the patient exhibited word finding difficulties. Blood studies revealed anemia, thrombocytopenia, leukocytosis, and increasing blood urea nitrogen (BUN) and creatinine. A computed tomography scan of the head was normal. Laboratory analysis showed schistocytes in the peripheral blood smear.
The patient’s cognitive functioning deteriorated on hospital day 5. She was not oriented to time or place. Her laboratory results showed complement level C3 at 70 mg/dL (ref: 83-193 mg/dL) complement C4 at 12 mg/dL (ref: 15-57mg/dL). The patient exhibited oliguria and hyponatremia, as well as both metabolic and respiratory acidosis; dialysis was then initiated. Results from the stool sample that was collected on hospital day 1 were received and tested positive for Shiga toxin.
At this point, the patient’s presentation of hemolytic anemia and thrombocytopenia in the setting of acute bloody diarrheal illness with known Shiga toxin, schistocytes on blood smear, and lack of pertinent medical history for other causes of this presentation made STEC-HUS the leading differential diagnosis. Plasmapheresis was ordered and performed on hospital day 6 and 7. Shiga toxin was no longer detected in the stool and antibiotics were stopped on hospital day 7.
The patient’s progressive deterioration in mental status continued on hospital day 8. She was not oriented to time or place, unable to perform simple calculations, and could not spell the word “hand” backwards. Physicians observed repetitive jerking motions of the upper extremities that were worse on the left side. An electroencephalogram (EEG) revealed right hemispheric sharp waves that were thought to be epileptiform (Figure 1). The patient began taking levetiracetam 1500 mg IV with 750 mg bid maintenance for seizure control. Plasmapheresis was discontinued due to her continued neurologic deterioration on this therapy. Consequently, eculizumab 900 mg IV was given along with the Neisseria meningitidis (N meningitidis) vaccine and a 19-day course of azithromycin 250 mg po as prophylaxis for encapsulated bacteria.
The patient continued to seize on hospital days 10 through 13. Oculocephalic maneuvers showed a tendency to keep her eyes deviated to the right. Her pupils continued to react to light. A repeat EEG showed diffuse slowing (5-6 Hz) with no epileptic activity seen (Figure 2). A second dose of eculizumab 900 mg IV was administered on hospital day 15. The patient experienced cardiac arrest on hospital day 16 and was successfully resuscitated. On hospital day 25 (10 days after receiving her second dose of eculizumab), the patient was able to speak and follow simple commands but exhibited difficulty concentrating and poor impulse control.
The patient was alert and oriented to person, place, time, and situation on hospital day 28 (6 days after the third and final dose of eculizumab). A neurologic exam was significant only for a slight intention tremor. She was continued on levetiracetam with a plan to be maintained on the medication for the next 6 months for seizure control. She was discharged on hospital day 30.
Twenty-eight days postdischarge (57 days postadmission), the patient showed marked recovery. She had returned to her previous employment as a business administrator on a part-time basis and exhibited no deficiencies in executive functioning or handling activities of daily living. Although she had been very active prior to this illness, she now experienced decreased physical and mental endurance; however, this gradually improved with physical therapy. She planned on returning to work on a full-time basis when she had regained her stamina. She also noticed difficulties in retaining short term memory since her discharge but believed that these symptoms were remitting. On examination her mental status and neurologic exam was significant for inability to continue serial 7s, left sided 4/5 muscle strength in quadriceps and thumb to 5th metacarpal adduction, bilateral 1+ reflexes in muscle groups tested (triceps, biceps, brachioradialis, patellar, and Achilles), loss of dull pinprick sensation bilaterally at web of hands, deficit in tandem gait while looking away, and slight intention tremor on finger to nose testing bilaterally (with left hand tremor more pronounced than right). Her complete blood count was normal. Her recovery continues to be monitored in an outpatient setting.
Discussion
HUS is characterized by 3 core clinical features: microangiopathic hemolytic anemia, thrombocytopenia, and acute kidney injury.4 Schistocytes are seen on peripheral blood smear and occur due to the passage of red blood cells over the microvascular thrombi induced by the disease. HUS can be classified as typical, atypical, or occurring with a coexisting disease. Typical HUS is associated with STEC 0157:H7 subtype, a bacterium known to be acquired through contaminated food and via human-to-human transmission.6-8 In the case of typical STEC 0157:H7, the bacterium releases a verotoxin that damages the vascular endothelium, thereby leading to activation of the coagulation cascade and eventually the formation of thrombi.4 It has been hypothesized that the Shiga toxin also activates the alternative complement pathway directly, which could contribute to thrombosis.9 This would explain the findings of low complement levels in our patient. Atypical HUS is primarily attributable to mutations in the alternative complement pathway. Causes for the third type of HUS can include Streptococcus pneumoniae, HIV, drug toxicity, and alterations in the metabolism of cobalamin C.
Epidemiologically, 15.3% of children aged < 5 years develop typical HUS after exposure to STEC compared with 1.2% of adults aged 18 to 59 years. The median age of patients who developed HUS from STEC exposure was 4 years compared with 16 years for those who did not develop HUS.2
Neurologic manifestations increase mortality for HUS patients.10 These have been described in the pediatric population as alteration in consciousness (85%), seizures (71%), pyramidal syndrome (52%), and extrapyramidal syndrome with hypertonia (42%).11 Brain imaging in children has demonstrated hemorrhagic lesions involving the pons, basal ganglia, and occipital cortex.11 Blood flow to areas such as the cerebellum, brainstem, and orbitofrontal area can be compromised.10 Adult patients with HUS can present without lesions on cranial magnetic resonance imaging (MRI), but instead with transient symmetric vasogenic edema of the central brain stem.12 Unfortunately in this case, MRI was not performed because it was thought to provide limited aid in diagnosis and to avoid unnecessary testing for the acutely ill patient.
The underlying pathophysiology of neurologic manifestations in patients may be due to a metabolic disturbance, toxin-mediated damage of the vascular endothelium, or toxin-induced cytokine release resulting in death of neural cells and subsequent neuroinflammation. However, the most likely mechanism is parenchymal ischemic changes related to microangiopathy.11,13 Pediatric patients often experience seizures and altered mental status, and their EEGs display delta waves.13 This patient’s diffuse slowing on her second EEG and altered mental status suggests that the neuropathologic mechanisms for typical HUS in adults may be similar to those in children.
HUS Treatment
The treatment and management of adults with typical STEC-HUS is evolving. The patient was first suspected to have an infectious colitis and empiric antibiotics were initiated. Some studies suggest that antibiotic administration may worsen the course of HUS in children as it may lead to release and subsequent absorption of Shiga toxin in the intestine.9,14 However, there is little evidence to suggest harm or efficacy of administration in adults. It is unclear what role antibiotic administration played in the recovery time of HUS given the co-administration of other treatments such as eculizumab and plasmapheresis, but it does appear to have helped with the initial E coli infection.
Plasmapheresis was subsequently administered, due to its documented benefit in the treatment of HUS.15 However, it should be noted that even though plasmapheresis is currently used in patients with CNS involvement, it remains unproven with conflicting information on its efficacy.3,16 The mechanism of action is unclear, but it has been hypothesized that plasmapheresis prevents microangiopathy caused by microthrombi.3,16 For this reason, eculizumab is becoming the mainstay for treatment of STEC-HUS with neurologic complications given the lack of well researched alternative treatments. In this case study, the use of plasmapheresis did not result in clinical improvement, and was abandoned after 2 days of treatment.
Eculizumab is a humanized, recombinant monoclonal IgG antibody that is a terminal complement inhibitor of the alternative complement system at the final step to cleave C5.17 The Shiga toxin may directly activate the complement system via the alternative pathway, which can result in uncontrolled platelet and white blood cell activation and depletion, endothelial cell damage, and hemolysis. The galvanized complement system leads to a series of cascading events that contribute to organ damage and death.9 Eculizumab is FDA approved for use in atypical HUS.18 It also can be used off-label to treat typical-HUS in adults with neurologic complications.
Eculizumab interferes with the immune response against encapsulated bacteria because it inhibits the alternative complement pathway. Thus, vaccination against N meningitides is recommended 2 weeks prior to the administration of eculizumab. However, in situations where the risks of delaying eculizumab for 2 weeks are greater than the risk of developing an N meningitides infection, eculizumab may be given without delay.18 Given the rapid deterioration of our patient’s condition, the vaccine and eculizumab were given together with prophylactic azithromycin. Although penicillin is the standard for prophylaxis in this situation, the patient’s penicillin allergy led to the use of azithromycin 250 mg po once a day. Literature also suggests azithromycin reduces the carriage duration of E coli-induced colitis.19 As such, it is possible that some improvement in the patient’s condition could be attributed to the elimination of the pathogen and toxin.
Conclusion
Three doses of eculizumab were administered at weekly intervals, with the first dose on hospital day 8 and the final dose on hospital day 22. Prior to the first dose, the patient displayed significant decline in mental status with EEG findings of right hemisphere epileptogenic discharges. After her third dose, she was found to have a drastically improved mental status exam and a normal EEG. One week later, she was discharged home. At the time of her 1-month follow-up, she was independent in all activities of daily living and had returned to part-time work. Apart from subtle cognitive changes, the remainder of her neurologic exam was normal.
There is evidence that supports the efficacy of eculizumab in children with HUS with neurologic symptoms on dialysis.20 However, its use in adults is not well established.21 This patient required dialysis and had neurologic symptoms similar to pediatric patients described in the literature, and responded similarly to the eculizumab. The rationale for the use of eculizumab in STEC-HUS also is evidenced by in vitro demonstrations of complement activation in STEC-HUS.22-25 This case report adds to the literature supporting the use of eculizumab in adult patients with typical HUS with neurological complications. Further research is necessary to develop guidelines in the treatment of adult STEC-HUS with regards to neurologic complications.
Acknowledgments
The authors would like to thank Pete DiStaso, REEGT for his work on obtaining the electroencephalograms and Anthony Rinaldi, PsyD; Julie Cessnapalas, PsyD; and Syed Faizan Sagheer for proof-reading the article.
Hemolytic uremic syndrome (HUS) is a rare illness that can be acquired through the consumption of food products contaminated with strains of Shiga toxin-producing Escherichia coli (E coli; STEC).1 Between 6% and 15% of individuals infected with STEC develop HUS, with children affected more frequently than adults.2,3 This strain of E coli releases Shiga toxin into the systemic circulation, which causes a thrombotic microangiopathy resulting in the characteristic HUS triad of symptoms: acute renal insufficiency, thrombocytopenia, and hemolytic anemia.4-6
Although neurologic features are common in HUS, they have not been extensively studied, particularly in adults. We report a case of STEC 0157:H7 subtype HUS in an adult with severe neurologic complications. This case highlights the neurological sequelae in an adult with typical STEC-HUS. The use of treatment modalities, such as plasmapheresis and eculizumab, and their use in adult typical STEC-HUS also is explored.
Case
A 53-year-old white woman with no pertinent past medical history presented to the Bay Pines Veterans Affairs Healthcare System Emergency Department with a 2-day history of abdominal pain, vomiting, nausea, diarrhea, and bright bloody stools. She returned from a cruise to the Bahamas 3 days prior, where she ate local foods, including salads. She reported no fever, shortness of breath, chest pain, headache, and cognitive difficulties. She presented with a normal mental status and neurologic exam. Apart from leukocytosis and elevated glucose level, her laboratory results at initial presentation were normal, (Table). A stool sample showed occult blood with white blood cell counts (WBCs) but was negative for Clostridium difficile. She was started on ciprofloxacin 400 mg and metronidazole 500 mg on the day of admission.
Hematuria was found on hospital day 2. On hospital day 4, the patient exhibited word finding difficulties. Blood studies revealed anemia, thrombocytopenia, leukocytosis, and increasing blood urea nitrogen (BUN) and creatinine. A computed tomography scan of the head was normal. Laboratory analysis showed schistocytes in the peripheral blood smear.
The patient’s cognitive functioning deteriorated on hospital day 5. She was not oriented to time or place. Her laboratory results showed complement level C3 at 70 mg/dL (ref: 83-193 mg/dL) complement C4 at 12 mg/dL (ref: 15-57mg/dL). The patient exhibited oliguria and hyponatremia, as well as both metabolic and respiratory acidosis; dialysis was then initiated. Results from the stool sample that was collected on hospital day 1 were received and tested positive for Shiga toxin.
At this point, the patient’s presentation of hemolytic anemia and thrombocytopenia in the setting of acute bloody diarrheal illness with known Shiga toxin, schistocytes on blood smear, and lack of pertinent medical history for other causes of this presentation made STEC-HUS the leading differential diagnosis. Plasmapheresis was ordered and performed on hospital day 6 and 7. Shiga toxin was no longer detected in the stool and antibiotics were stopped on hospital day 7.
The patient’s progressive deterioration in mental status continued on hospital day 8. She was not oriented to time or place, unable to perform simple calculations, and could not spell the word “hand” backwards. Physicians observed repetitive jerking motions of the upper extremities that were worse on the left side. An electroencephalogram (EEG) revealed right hemispheric sharp waves that were thought to be epileptiform (Figure 1). The patient began taking levetiracetam 1500 mg IV with 750 mg bid maintenance for seizure control. Plasmapheresis was discontinued due to her continued neurologic deterioration on this therapy. Consequently, eculizumab 900 mg IV was given along with the Neisseria meningitidis (N meningitidis) vaccine and a 19-day course of azithromycin 250 mg po as prophylaxis for encapsulated bacteria.
The patient continued to seize on hospital days 10 through 13. Oculocephalic maneuvers showed a tendency to keep her eyes deviated to the right. Her pupils continued to react to light. A repeat EEG showed diffuse slowing (5-6 Hz) with no epileptic activity seen (Figure 2). A second dose of eculizumab 900 mg IV was administered on hospital day 15. The patient experienced cardiac arrest on hospital day 16 and was successfully resuscitated. On hospital day 25 (10 days after receiving her second dose of eculizumab), the patient was able to speak and follow simple commands but exhibited difficulty concentrating and poor impulse control.
The patient was alert and oriented to person, place, time, and situation on hospital day 28 (6 days after the third and final dose of eculizumab). A neurologic exam was significant only for a slight intention tremor. She was continued on levetiracetam with a plan to be maintained on the medication for the next 6 months for seizure control. She was discharged on hospital day 30.
Twenty-eight days postdischarge (57 days postadmission), the patient showed marked recovery. She had returned to her previous employment as a business administrator on a part-time basis and exhibited no deficiencies in executive functioning or handling activities of daily living. Although she had been very active prior to this illness, she now experienced decreased physical and mental endurance; however, this gradually improved with physical therapy. She planned on returning to work on a full-time basis when she had regained her stamina. She also noticed difficulties in retaining short term memory since her discharge but believed that these symptoms were remitting. On examination her mental status and neurologic exam was significant for inability to continue serial 7s, left sided 4/5 muscle strength in quadriceps and thumb to 5th metacarpal adduction, bilateral 1+ reflexes in muscle groups tested (triceps, biceps, brachioradialis, patellar, and Achilles), loss of dull pinprick sensation bilaterally at web of hands, deficit in tandem gait while looking away, and slight intention tremor on finger to nose testing bilaterally (with left hand tremor more pronounced than right). Her complete blood count was normal. Her recovery continues to be monitored in an outpatient setting.
Discussion
HUS is characterized by 3 core clinical features: microangiopathic hemolytic anemia, thrombocytopenia, and acute kidney injury.4 Schistocytes are seen on peripheral blood smear and occur due to the passage of red blood cells over the microvascular thrombi induced by the disease. HUS can be classified as typical, atypical, or occurring with a coexisting disease. Typical HUS is associated with STEC 0157:H7 subtype, a bacterium known to be acquired through contaminated food and via human-to-human transmission.6-8 In the case of typical STEC 0157:H7, the bacterium releases a verotoxin that damages the vascular endothelium, thereby leading to activation of the coagulation cascade and eventually the formation of thrombi.4 It has been hypothesized that the Shiga toxin also activates the alternative complement pathway directly, which could contribute to thrombosis.9 This would explain the findings of low complement levels in our patient. Atypical HUS is primarily attributable to mutations in the alternative complement pathway. Causes for the third type of HUS can include Streptococcus pneumoniae, HIV, drug toxicity, and alterations in the metabolism of cobalamin C.
Epidemiologically, 15.3% of children aged < 5 years develop typical HUS after exposure to STEC compared with 1.2% of adults aged 18 to 59 years. The median age of patients who developed HUS from STEC exposure was 4 years compared with 16 years for those who did not develop HUS.2
Neurologic manifestations increase mortality for HUS patients.10 These have been described in the pediatric population as alteration in consciousness (85%), seizures (71%), pyramidal syndrome (52%), and extrapyramidal syndrome with hypertonia (42%).11 Brain imaging in children has demonstrated hemorrhagic lesions involving the pons, basal ganglia, and occipital cortex.11 Blood flow to areas such as the cerebellum, brainstem, and orbitofrontal area can be compromised.10 Adult patients with HUS can present without lesions on cranial magnetic resonance imaging (MRI), but instead with transient symmetric vasogenic edema of the central brain stem.12 Unfortunately in this case, MRI was not performed because it was thought to provide limited aid in diagnosis and to avoid unnecessary testing for the acutely ill patient.
The underlying pathophysiology of neurologic manifestations in patients may be due to a metabolic disturbance, toxin-mediated damage of the vascular endothelium, or toxin-induced cytokine release resulting in death of neural cells and subsequent neuroinflammation. However, the most likely mechanism is parenchymal ischemic changes related to microangiopathy.11,13 Pediatric patients often experience seizures and altered mental status, and their EEGs display delta waves.13 This patient’s diffuse slowing on her second EEG and altered mental status suggests that the neuropathologic mechanisms for typical HUS in adults may be similar to those in children.
HUS Treatment
The treatment and management of adults with typical STEC-HUS is evolving. The patient was first suspected to have an infectious colitis and empiric antibiotics were initiated. Some studies suggest that antibiotic administration may worsen the course of HUS in children as it may lead to release and subsequent absorption of Shiga toxin in the intestine.9,14 However, there is little evidence to suggest harm or efficacy of administration in adults. It is unclear what role antibiotic administration played in the recovery time of HUS given the co-administration of other treatments such as eculizumab and plasmapheresis, but it does appear to have helped with the initial E coli infection.
Plasmapheresis was subsequently administered, due to its documented benefit in the treatment of HUS.15 However, it should be noted that even though plasmapheresis is currently used in patients with CNS involvement, it remains unproven with conflicting information on its efficacy.3,16 The mechanism of action is unclear, but it has been hypothesized that plasmapheresis prevents microangiopathy caused by microthrombi.3,16 For this reason, eculizumab is becoming the mainstay for treatment of STEC-HUS with neurologic complications given the lack of well researched alternative treatments. In this case study, the use of plasmapheresis did not result in clinical improvement, and was abandoned after 2 days of treatment.
Eculizumab is a humanized, recombinant monoclonal IgG antibody that is a terminal complement inhibitor of the alternative complement system at the final step to cleave C5.17 The Shiga toxin may directly activate the complement system via the alternative pathway, which can result in uncontrolled platelet and white blood cell activation and depletion, endothelial cell damage, and hemolysis. The galvanized complement system leads to a series of cascading events that contribute to organ damage and death.9 Eculizumab is FDA approved for use in atypical HUS.18 It also can be used off-label to treat typical-HUS in adults with neurologic complications.
Eculizumab interferes with the immune response against encapsulated bacteria because it inhibits the alternative complement pathway. Thus, vaccination against N meningitides is recommended 2 weeks prior to the administration of eculizumab. However, in situations where the risks of delaying eculizumab for 2 weeks are greater than the risk of developing an N meningitides infection, eculizumab may be given without delay.18 Given the rapid deterioration of our patient’s condition, the vaccine and eculizumab were given together with prophylactic azithromycin. Although penicillin is the standard for prophylaxis in this situation, the patient’s penicillin allergy led to the use of azithromycin 250 mg po once a day. Literature also suggests azithromycin reduces the carriage duration of E coli-induced colitis.19 As such, it is possible that some improvement in the patient’s condition could be attributed to the elimination of the pathogen and toxin.
Conclusion
Three doses of eculizumab were administered at weekly intervals, with the first dose on hospital day 8 and the final dose on hospital day 22. Prior to the first dose, the patient displayed significant decline in mental status with EEG findings of right hemisphere epileptogenic discharges. After her third dose, she was found to have a drastically improved mental status exam and a normal EEG. One week later, she was discharged home. At the time of her 1-month follow-up, she was independent in all activities of daily living and had returned to part-time work. Apart from subtle cognitive changes, the remainder of her neurologic exam was normal.
There is evidence that supports the efficacy of eculizumab in children with HUS with neurologic symptoms on dialysis.20 However, its use in adults is not well established.21 This patient required dialysis and had neurologic symptoms similar to pediatric patients described in the literature, and responded similarly to the eculizumab. The rationale for the use of eculizumab in STEC-HUS also is evidenced by in vitro demonstrations of complement activation in STEC-HUS.22-25 This case report adds to the literature supporting the use of eculizumab in adult patients with typical HUS with neurological complications. Further research is necessary to develop guidelines in the treatment of adult STEC-HUS with regards to neurologic complications.
Acknowledgments
The authors would like to thank Pete DiStaso, REEGT for his work on obtaining the electroencephalograms and Anthony Rinaldi, PsyD; Julie Cessnapalas, PsyD; and Syed Faizan Sagheer for proof-reading the article.
1. Tarr PI, Gordon CA, Chandler WL. Shiga-toxin-producing Escherichia coli and haemolytic uraemic syndrome. Lancet. 2005;365(9464):1073-1086.
2. Gould LH, Demma L, Jones TF, et al. Hemolytic uremic syndrome and death in persons with Escherichia coli O157:H7 infection, foodborne diseases active surveillance network sites, 2000-2006. Clin Infect Dis. 2009;49(10):1480-1485.
3. Boyce TG, Swerdlow DL, Griffin PM. Escherichia coli O157:H7 and the hemolytic-uremic syndrome. N Engl J Med. 1995;333(6):364-368.
4. Rondeau E, Peraldi MN. Escherichia coli and the hemolytic-uremic syndrome. N Engl J Med. 1996;335(9):660-662.
5. Te Loo DM, van Hinsbergh VW, van den Heuvel LP, Monnens LA. Detection of verocytotoxin bound to circulating polymorphonuclear leukocytes of patients with hemolytic uremic syndrome. J Am Soc Nephrol. 2001;12(4):800-806.
6. Tran SL, Jenkins C, Livrelli V, Schüller S. Shiga toxin 2 translocation across intestinal epithelium is linked to virulence of Shiga toxin-producing Escherichia coli in humans. Microbiology. 2018;164(4):509-516.
7. Jokiranta TS. HUS and atypical HUS. Blood. 2017;129(21):2847-2856.
8. Ferens WA, Hovde CJ. Escherichia coli O157:H7: animal reservoir and sources of human infection. Foodborne Pathog Dis. 2011;8(4):465-487.
9. Percheron L, Gramada R, Tellier S, et al. Eculizumab treatment in severe pediatric STEC-HUS: a multicenter retrospective study. Pediatr Nephrol. 2018;33(8):1385-1394.
10. Hosaka T, Nakamagoe K, Tamaoka A. Hemolytic uremic syndrome-associated encephalopathy successfully treated with corticosteroids. Intern Med. 2017;56(21):2937-2941.
11. Nathanson S, Kwon T, Elmaleh M, et al. Acute neurological involvement in diarrhea-associated hemolytic uremic syndrome. Clin J Am Soc Nephrol. 2010;5(7):1218-1228.
12. Wengenroth M, Hoeltje J, Repenthin J, et al. Central nervous system involvement in adults with epidemic hemolytic uremic syndrome. AJNR Am J Neuroradiol. 2013;34(5):1016-1021, S1.
13. Eriksson KJ, Boyd SG, Tasker RC. Acute neurology and neurophysiology of haemolytic-uraemic syndrome. Arch Dis Child. 2001;84(5):434-435.
14. Wong CS, Jelacic S, Habeeb RL, Watkins SL, Tarr PI. The risk of the hemolytic-uremic syndrome after antibiotic treatment of Escherichia coli O157:H7 infections. N Engl J Med. 2000;342(26):1930-1936.
15. Nguyen TC, Kiss JE, Goldman JR, Carcillo JA. The role of plasmapheresis in critical illness. Crit Care Clin. 2012;28(3):453-468, vii.
16. Loos S, Ahlenstiel T, Kranz B, et al. An outbreak of Shiga toxin-producing Escherichia coli O104:H4 hemolytic uremic syndrome in Germany: presentation and short-term outcome in children. Clin Infect Dis. 2012;55(6):753-759.
17. Hossain MA, Cheema A, Kalathil S, et al. Atypical hemolytic uremic syndrome: Laboratory characteristics, complement-amplifying conditions, renal biopsy, and genetic mutations. Saudi J Kidney Dis Transpl. 2018;29(2):276-283.
18. Soliris (eculizumab) [package insert]. Cheshire, CT: Alexion Pharmaceuticals, Inc; 2011.
19. Keenswijk W, Raes A, Vande Walle J. Is eculizumab efficacious in Shigatoxin-associated hemolytic uremic syndrome? A narrative review of current evidence. Eur J Pediatr. 2018;177(3):311-318.
20. Lapeyraque AL, Malina M, Fremeaux-Bacchi V, et al. Eculizumab in severe Shiga-toxin-associated HUS. N Engl J Med. 2011;364(26):2561-2563.
21. Pape L, Hartmann H, Bange FC, Suerbaum S, Bueltmann E, Ahlenstiel-Grunow T. Eculizumab in typical hemolytic uremic syndrome (HUS) with neurological involvement. Medicine (Baltimore). 2015;94(24):e1000.
22. Kim Y, Miller K, Michael AF. Breakdown products of C3 and factor B in hemolytic-uremic syndrome. J Lab Clin Med. 1977;89(4):845-850.
23. Monnens L, Molenaar J, Lambert PH, Proesmans W, van Munster P. The complement system in hemolytic-uremic syndrome in childhood. Clin Nephrol. 1980;13(4):168-171.
24. Thurman JM, Marians R, Emlen W, et al. Alternative pathway of complement in children with diarrhea-associated hemolytic uremic syndrome. Clin J Am Soc Nephrol. 2009;4(12):1920-1924.
25. Ståhl AL, Sartz L, Karpman D. Complement activation on platelet-leukocyte complexes and microparticles in enterohemorrhagic Escherichia coli-induced hemolytic uremic syndrome. Blood. 2011;117(20):5503-5513.
1. Tarr PI, Gordon CA, Chandler WL. Shiga-toxin-producing Escherichia coli and haemolytic uraemic syndrome. Lancet. 2005;365(9464):1073-1086.
2. Gould LH, Demma L, Jones TF, et al. Hemolytic uremic syndrome and death in persons with Escherichia coli O157:H7 infection, foodborne diseases active surveillance network sites, 2000-2006. Clin Infect Dis. 2009;49(10):1480-1485.
3. Boyce TG, Swerdlow DL, Griffin PM. Escherichia coli O157:H7 and the hemolytic-uremic syndrome. N Engl J Med. 1995;333(6):364-368.
4. Rondeau E, Peraldi MN. Escherichia coli and the hemolytic-uremic syndrome. N Engl J Med. 1996;335(9):660-662.
5. Te Loo DM, van Hinsbergh VW, van den Heuvel LP, Monnens LA. Detection of verocytotoxin bound to circulating polymorphonuclear leukocytes of patients with hemolytic uremic syndrome. J Am Soc Nephrol. 2001;12(4):800-806.
6. Tran SL, Jenkins C, Livrelli V, Schüller S. Shiga toxin 2 translocation across intestinal epithelium is linked to virulence of Shiga toxin-producing Escherichia coli in humans. Microbiology. 2018;164(4):509-516.
7. Jokiranta TS. HUS and atypical HUS. Blood. 2017;129(21):2847-2856.
8. Ferens WA, Hovde CJ. Escherichia coli O157:H7: animal reservoir and sources of human infection. Foodborne Pathog Dis. 2011;8(4):465-487.
9. Percheron L, Gramada R, Tellier S, et al. Eculizumab treatment in severe pediatric STEC-HUS: a multicenter retrospective study. Pediatr Nephrol. 2018;33(8):1385-1394.
10. Hosaka T, Nakamagoe K, Tamaoka A. Hemolytic uremic syndrome-associated encephalopathy successfully treated with corticosteroids. Intern Med. 2017;56(21):2937-2941.
11. Nathanson S, Kwon T, Elmaleh M, et al. Acute neurological involvement in diarrhea-associated hemolytic uremic syndrome. Clin J Am Soc Nephrol. 2010;5(7):1218-1228.
12. Wengenroth M, Hoeltje J, Repenthin J, et al. Central nervous system involvement in adults with epidemic hemolytic uremic syndrome. AJNR Am J Neuroradiol. 2013;34(5):1016-1021, S1.
13. Eriksson KJ, Boyd SG, Tasker RC. Acute neurology and neurophysiology of haemolytic-uraemic syndrome. Arch Dis Child. 2001;84(5):434-435.
14. Wong CS, Jelacic S, Habeeb RL, Watkins SL, Tarr PI. The risk of the hemolytic-uremic syndrome after antibiotic treatment of Escherichia coli O157:H7 infections. N Engl J Med. 2000;342(26):1930-1936.
15. Nguyen TC, Kiss JE, Goldman JR, Carcillo JA. The role of plasmapheresis in critical illness. Crit Care Clin. 2012;28(3):453-468, vii.
16. Loos S, Ahlenstiel T, Kranz B, et al. An outbreak of Shiga toxin-producing Escherichia coli O104:H4 hemolytic uremic syndrome in Germany: presentation and short-term outcome in children. Clin Infect Dis. 2012;55(6):753-759.
17. Hossain MA, Cheema A, Kalathil S, et al. Atypical hemolytic uremic syndrome: Laboratory characteristics, complement-amplifying conditions, renal biopsy, and genetic mutations. Saudi J Kidney Dis Transpl. 2018;29(2):276-283.
18. Soliris (eculizumab) [package insert]. Cheshire, CT: Alexion Pharmaceuticals, Inc; 2011.
19. Keenswijk W, Raes A, Vande Walle J. Is eculizumab efficacious in Shigatoxin-associated hemolytic uremic syndrome? A narrative review of current evidence. Eur J Pediatr. 2018;177(3):311-318.
20. Lapeyraque AL, Malina M, Fremeaux-Bacchi V, et al. Eculizumab in severe Shiga-toxin-associated HUS. N Engl J Med. 2011;364(26):2561-2563.
21. Pape L, Hartmann H, Bange FC, Suerbaum S, Bueltmann E, Ahlenstiel-Grunow T. Eculizumab in typical hemolytic uremic syndrome (HUS) with neurological involvement. Medicine (Baltimore). 2015;94(24):e1000.
22. Kim Y, Miller K, Michael AF. Breakdown products of C3 and factor B in hemolytic-uremic syndrome. J Lab Clin Med. 1977;89(4):845-850.
23. Monnens L, Molenaar J, Lambert PH, Proesmans W, van Munster P. The complement system in hemolytic-uremic syndrome in childhood. Clin Nephrol. 1980;13(4):168-171.
24. Thurman JM, Marians R, Emlen W, et al. Alternative pathway of complement in children with diarrhea-associated hemolytic uremic syndrome. Clin J Am Soc Nephrol. 2009;4(12):1920-1924.
25. Ståhl AL, Sartz L, Karpman D. Complement activation on platelet-leukocyte complexes and microparticles in enterohemorrhagic Escherichia coli-induced hemolytic uremic syndrome. Blood. 2011;117(20):5503-5513.
Nilotinib is safe in moderate and advanced Parkinson’s disease
according to investigators. Nevertheless, other drugs that – like nilotinib – inhibit tyrosine kinase (c-Abl) may have a neuroprotective effect, they added. The study was presented online as part of the American Academy of Neurology’s 2020 Science Highlights.
Research using preclinical models of Parkinson’s disease has indicated that nilotinib offers neuroprotection. Tanya Simuni, MD, the Arthur C. Nielsen Jr., Research Professor of Parkinson’s Disease and Movement Disorders at Northwestern University in Chicago, and colleagues conducted a prospective study to evaluate the safety and tolerability of oral nilotinib in patients with moderate or advanced Parkinson’s disease. The investigators also sought to examine nilotinib’s symptomatic effect, as measured by the Movement Disorder Society–Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) part III. In addition, Dr. Simuni and colleagues analyzed the drug’s effect on progression of disability, as measured by various other Parkinson’s disease scales. The study’s exploratory outcomes included cognitive function, quality of life, pharmacokinetic profile, and a battery of serum and spinal fluid biomarkers.
The researchers conducted their randomized, double-blind, placebo-controlled, parallel-group study at 25 sites in the United States. They randomized 76 patients with Parkinson’s disease in approximately equal groups to a daily dose of placebo, 150 mg of nilotinib, or 300 mg of nilotinib. Safety visits occurred monthly. Patient assessments occurred at 3 months and at 6 months, which was the end of the treatment period. Patients presented off study medication at 1 month and 2 months after the end of the treatment period.
Treatment did not change dopamine levels
Baseline demographics and disease characteristics were balanced between groups. Mean age was about 66 years in the placebo group, 61 years in the 150-mg group, and 67 years in the 300-mg group. The proportion of male participants was 64% in the placebo group, 60% in the 150-mg group, and 81% in the 300-mg group. Disease duration was 9 years in the placebo group, approximately 9 years in the 150-mg group, and approximately 12 years in the 300-mg group. Mean MDS-UPDRS total on score was 46 in the placebo group, 47 in the 150-mg group, and 52 in the 300-mg group.
Tolerability was 84% in the placebo group, 76% in the in the 150-mg group, and 77% in the 300-mg group. The sole treatment-related serious adverse event, arrhythmia, occurred in one patient in the 300-mg group. The rate of any adverse event was 88% in the placebo group, 92% in the 150-mg group, and 88% in the 300-mg group. The rate of any serious adverse event was 8% in the placebo group and 4% in each nilotinib group.
From baseline to 1 month, MDS-UPDRS part III on scores decreased by 0.49 points in the placebo group, increased by 2.08 in the 150-mg group, and increased by 4.67 in the 300-mg group. Differences in other secondary measures (e.g., change in MDS-UPDRS part III on scores from baseline to 6 months and change in MDS-UPDRS part III off score from baseline to 6 months) were not statistically significant.
At 3 months, CSF levels of nilotinib were well below the threshold for c-Abl inhibition (approximately 11 ng/mL). The arithmetic mean levels were 0.91 ng/mL in the 150-mg group and 1.69 ng/mL in the 300-mg group. Nilotinib also failed to alter CSF levels of dopamine or its metabolites at 3 months. Dr. Simuni and colleagues did not see significant differences between treatment groups in the exploratory outcomes of cognitive function and quality of life.
“Nilotinib is not an optimal molecule to assess the therapeutic potential of c-Abl inhibition for Parkinson’s disease,” the investigators concluded.
Nilotinib may be an inappropriate candidate
The data “suggest that the hypothesis wasn’t tested, since the CSF and serum concentration of the drug were insufficient for enzyme inhibition,” said Peter LeWitt, MD, Sastry Foundation Endowed Chair in Neurology and professor of neurology at Wayne State University, Detroit. “A higher dose or a more CNS-penetrant drug would be needed for adequate testing of the hypothesis that c-Abl inhibition could provide disease modification.”
Nilotinib might not be an appropriate drug for this investigation, he continued. “There may be better choices among c-Abl inhibitors for penetration into the CNS, such as dasatinib, or for increased potency of effect, such as imatinib.”
Sun Pharma Advanced Research Company is conducting a clinical trial of KO706, another c-Abl inhibitor, added Dr. LeWitt, who is a researcher in that trial and an editorial adviser to Neurology Reviews. “The studies published recently in JAMA Neurology by Pagan et al. claiming target engagement with nilotinib in Parkinson’s disease patients need to be contrasted with the results of the current investigation. Disease modification with c-Abl inhibition continues to be a promising therapeutic avenue, but both positive and negative study results need careful reassessment and validation.”
The Michael J. Fox Foundation, the Cure Parkinson’s Trust, and Van Andel Research Institute funded the study. Novartis provided the study drug and placebo. The investigators reported no conflicts of interest.
SOURCE: Simuni T et al. AAN 2020. Abstract 43617.
according to investigators. Nevertheless, other drugs that – like nilotinib – inhibit tyrosine kinase (c-Abl) may have a neuroprotective effect, they added. The study was presented online as part of the American Academy of Neurology’s 2020 Science Highlights.
Research using preclinical models of Parkinson’s disease has indicated that nilotinib offers neuroprotection. Tanya Simuni, MD, the Arthur C. Nielsen Jr., Research Professor of Parkinson’s Disease and Movement Disorders at Northwestern University in Chicago, and colleagues conducted a prospective study to evaluate the safety and tolerability of oral nilotinib in patients with moderate or advanced Parkinson’s disease. The investigators also sought to examine nilotinib’s symptomatic effect, as measured by the Movement Disorder Society–Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) part III. In addition, Dr. Simuni and colleagues analyzed the drug’s effect on progression of disability, as measured by various other Parkinson’s disease scales. The study’s exploratory outcomes included cognitive function, quality of life, pharmacokinetic profile, and a battery of serum and spinal fluid biomarkers.
The researchers conducted their randomized, double-blind, placebo-controlled, parallel-group study at 25 sites in the United States. They randomized 76 patients with Parkinson’s disease in approximately equal groups to a daily dose of placebo, 150 mg of nilotinib, or 300 mg of nilotinib. Safety visits occurred monthly. Patient assessments occurred at 3 months and at 6 months, which was the end of the treatment period. Patients presented off study medication at 1 month and 2 months after the end of the treatment period.
Treatment did not change dopamine levels
Baseline demographics and disease characteristics were balanced between groups. Mean age was about 66 years in the placebo group, 61 years in the 150-mg group, and 67 years in the 300-mg group. The proportion of male participants was 64% in the placebo group, 60% in the 150-mg group, and 81% in the 300-mg group. Disease duration was 9 years in the placebo group, approximately 9 years in the 150-mg group, and approximately 12 years in the 300-mg group. Mean MDS-UPDRS total on score was 46 in the placebo group, 47 in the 150-mg group, and 52 in the 300-mg group.
Tolerability was 84% in the placebo group, 76% in the in the 150-mg group, and 77% in the 300-mg group. The sole treatment-related serious adverse event, arrhythmia, occurred in one patient in the 300-mg group. The rate of any adverse event was 88% in the placebo group, 92% in the 150-mg group, and 88% in the 300-mg group. The rate of any serious adverse event was 8% in the placebo group and 4% in each nilotinib group.
From baseline to 1 month, MDS-UPDRS part III on scores decreased by 0.49 points in the placebo group, increased by 2.08 in the 150-mg group, and increased by 4.67 in the 300-mg group. Differences in other secondary measures (e.g., change in MDS-UPDRS part III on scores from baseline to 6 months and change in MDS-UPDRS part III off score from baseline to 6 months) were not statistically significant.
At 3 months, CSF levels of nilotinib were well below the threshold for c-Abl inhibition (approximately 11 ng/mL). The arithmetic mean levels were 0.91 ng/mL in the 150-mg group and 1.69 ng/mL in the 300-mg group. Nilotinib also failed to alter CSF levels of dopamine or its metabolites at 3 months. Dr. Simuni and colleagues did not see significant differences between treatment groups in the exploratory outcomes of cognitive function and quality of life.
“Nilotinib is not an optimal molecule to assess the therapeutic potential of c-Abl inhibition for Parkinson’s disease,” the investigators concluded.
Nilotinib may be an inappropriate candidate
The data “suggest that the hypothesis wasn’t tested, since the CSF and serum concentration of the drug were insufficient for enzyme inhibition,” said Peter LeWitt, MD, Sastry Foundation Endowed Chair in Neurology and professor of neurology at Wayne State University, Detroit. “A higher dose or a more CNS-penetrant drug would be needed for adequate testing of the hypothesis that c-Abl inhibition could provide disease modification.”
Nilotinib might not be an appropriate drug for this investigation, he continued. “There may be better choices among c-Abl inhibitors for penetration into the CNS, such as dasatinib, or for increased potency of effect, such as imatinib.”
Sun Pharma Advanced Research Company is conducting a clinical trial of KO706, another c-Abl inhibitor, added Dr. LeWitt, who is a researcher in that trial and an editorial adviser to Neurology Reviews. “The studies published recently in JAMA Neurology by Pagan et al. claiming target engagement with nilotinib in Parkinson’s disease patients need to be contrasted with the results of the current investigation. Disease modification with c-Abl inhibition continues to be a promising therapeutic avenue, but both positive and negative study results need careful reassessment and validation.”
The Michael J. Fox Foundation, the Cure Parkinson’s Trust, and Van Andel Research Institute funded the study. Novartis provided the study drug and placebo. The investigators reported no conflicts of interest.
SOURCE: Simuni T et al. AAN 2020. Abstract 43617.
according to investigators. Nevertheless, other drugs that – like nilotinib – inhibit tyrosine kinase (c-Abl) may have a neuroprotective effect, they added. The study was presented online as part of the American Academy of Neurology’s 2020 Science Highlights.
Research using preclinical models of Parkinson’s disease has indicated that nilotinib offers neuroprotection. Tanya Simuni, MD, the Arthur C. Nielsen Jr., Research Professor of Parkinson’s Disease and Movement Disorders at Northwestern University in Chicago, and colleagues conducted a prospective study to evaluate the safety and tolerability of oral nilotinib in patients with moderate or advanced Parkinson’s disease. The investigators also sought to examine nilotinib’s symptomatic effect, as measured by the Movement Disorder Society–Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) part III. In addition, Dr. Simuni and colleagues analyzed the drug’s effect on progression of disability, as measured by various other Parkinson’s disease scales. The study’s exploratory outcomes included cognitive function, quality of life, pharmacokinetic profile, and a battery of serum and spinal fluid biomarkers.
The researchers conducted their randomized, double-blind, placebo-controlled, parallel-group study at 25 sites in the United States. They randomized 76 patients with Parkinson’s disease in approximately equal groups to a daily dose of placebo, 150 mg of nilotinib, or 300 mg of nilotinib. Safety visits occurred monthly. Patient assessments occurred at 3 months and at 6 months, which was the end of the treatment period. Patients presented off study medication at 1 month and 2 months after the end of the treatment period.
Treatment did not change dopamine levels
Baseline demographics and disease characteristics were balanced between groups. Mean age was about 66 years in the placebo group, 61 years in the 150-mg group, and 67 years in the 300-mg group. The proportion of male participants was 64% in the placebo group, 60% in the 150-mg group, and 81% in the 300-mg group. Disease duration was 9 years in the placebo group, approximately 9 years in the 150-mg group, and approximately 12 years in the 300-mg group. Mean MDS-UPDRS total on score was 46 in the placebo group, 47 in the 150-mg group, and 52 in the 300-mg group.
Tolerability was 84% in the placebo group, 76% in the in the 150-mg group, and 77% in the 300-mg group. The sole treatment-related serious adverse event, arrhythmia, occurred in one patient in the 300-mg group. The rate of any adverse event was 88% in the placebo group, 92% in the 150-mg group, and 88% in the 300-mg group. The rate of any serious adverse event was 8% in the placebo group and 4% in each nilotinib group.
From baseline to 1 month, MDS-UPDRS part III on scores decreased by 0.49 points in the placebo group, increased by 2.08 in the 150-mg group, and increased by 4.67 in the 300-mg group. Differences in other secondary measures (e.g., change in MDS-UPDRS part III on scores from baseline to 6 months and change in MDS-UPDRS part III off score from baseline to 6 months) were not statistically significant.
At 3 months, CSF levels of nilotinib were well below the threshold for c-Abl inhibition (approximately 11 ng/mL). The arithmetic mean levels were 0.91 ng/mL in the 150-mg group and 1.69 ng/mL in the 300-mg group. Nilotinib also failed to alter CSF levels of dopamine or its metabolites at 3 months. Dr. Simuni and colleagues did not see significant differences between treatment groups in the exploratory outcomes of cognitive function and quality of life.
“Nilotinib is not an optimal molecule to assess the therapeutic potential of c-Abl inhibition for Parkinson’s disease,” the investigators concluded.
Nilotinib may be an inappropriate candidate
The data “suggest that the hypothesis wasn’t tested, since the CSF and serum concentration of the drug were insufficient for enzyme inhibition,” said Peter LeWitt, MD, Sastry Foundation Endowed Chair in Neurology and professor of neurology at Wayne State University, Detroit. “A higher dose or a more CNS-penetrant drug would be needed for adequate testing of the hypothesis that c-Abl inhibition could provide disease modification.”
Nilotinib might not be an appropriate drug for this investigation, he continued. “There may be better choices among c-Abl inhibitors for penetration into the CNS, such as dasatinib, or for increased potency of effect, such as imatinib.”
Sun Pharma Advanced Research Company is conducting a clinical trial of KO706, another c-Abl inhibitor, added Dr. LeWitt, who is a researcher in that trial and an editorial adviser to Neurology Reviews. “The studies published recently in JAMA Neurology by Pagan et al. claiming target engagement with nilotinib in Parkinson’s disease patients need to be contrasted with the results of the current investigation. Disease modification with c-Abl inhibition continues to be a promising therapeutic avenue, but both positive and negative study results need careful reassessment and validation.”
The Michael J. Fox Foundation, the Cure Parkinson’s Trust, and Van Andel Research Institute funded the study. Novartis provided the study drug and placebo. The investigators reported no conflicts of interest.
SOURCE: Simuni T et al. AAN 2020. Abstract 43617.
FROM AAN 2020
Ofatumumab shows high elimination of disease activity in MS
, a new study shows.
The drug, which is already approved for the treatment of chronic lymphocytic leukemia, is currently under review for relapsing MS as a once-per-month self-injected therapy that could offer a convenient alternative to DMTs that require in-office infusion.
The new findings are from a pooled analysis from the phase 3 ASCLEPIOS I/II trials of the use of ofatumumab for patients with relapsing MS. There were 927 patients in the ASCLEPIOS I trial and 955 in the ASCLEPIOS II trial. The trials were conducted in 37 countries and involved patients aged 18-55 years.
The late-breaking research was presented at the virtual meeting of the Consortium of Multiple Sclerosis Centers (CMSC).
The studies compared patients who were treated with subcutaneous ofatumumab 20 mg with patients treated with oral teriflunomide 14 mg once daily for up to 30 months. The average duration of follow-up was 18 months.
NEDA-3, commonly used to determine treatment outcomes for patients with relapsing MS, was defined as a composite of having no worsening of disability over a 6-month period (6mCDW), no confirmed MS relapse, no new/enlarging T2 lesions, and no gadolinium-enhancing T1 lesions.
The pooled results showed that the odds of achieving NEDA-3 during the first 12 months were three times greater with ofatumumab than with teriflunomide (47.0% vs. 24.5%; odds ratio [OR], 3.36; P < .001) and were more than eight times greater from months 12 to 24 (87.8% vs. 48.2%; OR, 8.09; P < .001).
In addition, compared with patients who received teriflunomide, a higher proportion of patients who received ofatumumab were free from 6mCDW over 2 years (91.9% vs. 88.9%), as well as from relapses (82.3% vs 69.2%) and lesion activity (54.1% vs. 27.5%).
There was a significantly greater reduction in annualized relapse rate with ofatumumab compared with teriflunomide at all cumulative time intervals, including months 0 to 3 (P = .011), and at all subsequent time intervals from month 0 to 27 (P < .001).
The pooled findings further showed that ofatumumab reduced the mean number of gadolinium-enhancing T1 lesions per scan by 95.9% compared with teriflunomide (P < .001).
“Ofatumumab increased the probability of achieving NEDA-3 and demonstrated superior efficacy vs teriflunomide in patients with relapsing MS,” said the authors, led by Stephen L. Hauser, MD, of the department of neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco.
Ofatumumab superior in primary, secondary outcomes
As previously reported, subcutaneous ofatumumab also demonstrated superior efficacy over oral teriflunomide in the primary and secondary endpoints in the ASCLEPIOS I/II trials. The annualized relapse rate was reduced by 0.22 in the teriflunomide group, vs 0.11 in the ofatumumab group (50.5% relative reduction; P < .001) in the ASCLEPIOS I trial, and by 0.25 vs. 0.10 (58.5% relative reduction P < .001) in ASCLEPIOS II.
Ofatumumab also reduced the number of gadolinium-enhancing T1 lesions and new or enlarging T2 lesions compared with teriflunomide (all P < .001). It reduced the risk for disability progression by 34.4% over 3 months and by 32.5% over 6 months.
In the studies, the rate of serious infection with ofatumumab was 2.5%, compared with 1.8% with teriflunomide. Rates of malignancies were 0.5% and 0.3%, respectively.
“Ofatumumab demonstrated superior efficacy versus teriflunomide, with an acceptable safety profile, in patients with relapsing MS,” the authors reported.
Adherence rates with self-injection encouraging
An additional analysis from the two trials presented virtually in a separate abstract at the CMSC showed greater adherence to the self-administered regimen.
The analysis shows that in the ASCLEPIOS I study, 86.0% patients who were randomly assigned to receive ofatumumab and 77.7% who received teriflunomide completed the study on the assigned study drug. The proportion of patients who received ofatumumab and who discontinued treatment was 14.0%, versus 21.2% for those in the teriflunomide group. The most common reasons for discontinuation were patient/guardian decision (ofatumumab, 4.9%; teriflunomide, 8.2%), adverse event (ofatumumab, 5.2%; teriflunomide, 5.0%), and physician decision (ofatumumab, 2.2%; teriflunomide, 6.5%).
In the ASCLEPIOS II study, the rates were similar in all measures.
“In ASCLEPIOS trials, compliance with home-administered subcutaneous ofatumumab was high, and fewer patients discontinued ofatumumab as compared to teriflunomide,” the authors concluded.
Comparator drug a weak choice?
In commenting on the research, Stephen Kamin, MD, professor, vice chair, and chief of service, department of neurology, New Jersey Medical School, in Newark, noted that a limitation of the ASCLEPIOS trials is the comparison with teriflunomide.
“The comparator drug, teriflunomide, is one of the least effective DMTs, and one that some clinicians, including myself, don’t use,” he said.
Previously, when asked in an interview about the choice of teriflunomide as the comparator, Dr. Hauser noted that considerable discussion had gone into the decision. “The rationale was that we wanted to have a comparator that would be present not only against focal disease activity but also potentially against progression, and we were also able to blind the study successfully,” he said at the time.
Dr. Kamin said that ofatumumab will nevertheless likely represent a welcome addition to the tool kit of treatment options for MS. “Any new drug is helpful in adding to our choices as a general rule,” he said. “Subcutaneous injection does have increased convenience.”
It is not likely that the drug will be a game changer, he added, although the treatment’s efficacy compared with other drugs remains to be seen. “It all depends upon the relative efficacy of ofatumumab versus ocrelizumab or siponimod,” Dr. Kamin said.
“There has been another subcutaneous monoclonal for MS, daclizumab, although this was withdrawn from the market due to severe adverse effects not related to route of administration,” he added.
Dr. Hauser has relationships with Alector, Annexon, Bionure, Molecular Stethoscope, Symbiotix, and F. Hoffmann-La Roche. Dr. Kamin has received research support from Biogen, Novartis and CMSC.
A version of this article originally appeared on Medscape.com.
, a new study shows.
The drug, which is already approved for the treatment of chronic lymphocytic leukemia, is currently under review for relapsing MS as a once-per-month self-injected therapy that could offer a convenient alternative to DMTs that require in-office infusion.
The new findings are from a pooled analysis from the phase 3 ASCLEPIOS I/II trials of the use of ofatumumab for patients with relapsing MS. There were 927 patients in the ASCLEPIOS I trial and 955 in the ASCLEPIOS II trial. The trials were conducted in 37 countries and involved patients aged 18-55 years.
The late-breaking research was presented at the virtual meeting of the Consortium of Multiple Sclerosis Centers (CMSC).
The studies compared patients who were treated with subcutaneous ofatumumab 20 mg with patients treated with oral teriflunomide 14 mg once daily for up to 30 months. The average duration of follow-up was 18 months.
NEDA-3, commonly used to determine treatment outcomes for patients with relapsing MS, was defined as a composite of having no worsening of disability over a 6-month period (6mCDW), no confirmed MS relapse, no new/enlarging T2 lesions, and no gadolinium-enhancing T1 lesions.
The pooled results showed that the odds of achieving NEDA-3 during the first 12 months were three times greater with ofatumumab than with teriflunomide (47.0% vs. 24.5%; odds ratio [OR], 3.36; P < .001) and were more than eight times greater from months 12 to 24 (87.8% vs. 48.2%; OR, 8.09; P < .001).
In addition, compared with patients who received teriflunomide, a higher proportion of patients who received ofatumumab were free from 6mCDW over 2 years (91.9% vs. 88.9%), as well as from relapses (82.3% vs 69.2%) and lesion activity (54.1% vs. 27.5%).
There was a significantly greater reduction in annualized relapse rate with ofatumumab compared with teriflunomide at all cumulative time intervals, including months 0 to 3 (P = .011), and at all subsequent time intervals from month 0 to 27 (P < .001).
The pooled findings further showed that ofatumumab reduced the mean number of gadolinium-enhancing T1 lesions per scan by 95.9% compared with teriflunomide (P < .001).
“Ofatumumab increased the probability of achieving NEDA-3 and demonstrated superior efficacy vs teriflunomide in patients with relapsing MS,” said the authors, led by Stephen L. Hauser, MD, of the department of neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco.
Ofatumumab superior in primary, secondary outcomes
As previously reported, subcutaneous ofatumumab also demonstrated superior efficacy over oral teriflunomide in the primary and secondary endpoints in the ASCLEPIOS I/II trials. The annualized relapse rate was reduced by 0.22 in the teriflunomide group, vs 0.11 in the ofatumumab group (50.5% relative reduction; P < .001) in the ASCLEPIOS I trial, and by 0.25 vs. 0.10 (58.5% relative reduction P < .001) in ASCLEPIOS II.
Ofatumumab also reduced the number of gadolinium-enhancing T1 lesions and new or enlarging T2 lesions compared with teriflunomide (all P < .001). It reduced the risk for disability progression by 34.4% over 3 months and by 32.5% over 6 months.
In the studies, the rate of serious infection with ofatumumab was 2.5%, compared with 1.8% with teriflunomide. Rates of malignancies were 0.5% and 0.3%, respectively.
“Ofatumumab demonstrated superior efficacy versus teriflunomide, with an acceptable safety profile, in patients with relapsing MS,” the authors reported.
Adherence rates with self-injection encouraging
An additional analysis from the two trials presented virtually in a separate abstract at the CMSC showed greater adherence to the self-administered regimen.
The analysis shows that in the ASCLEPIOS I study, 86.0% patients who were randomly assigned to receive ofatumumab and 77.7% who received teriflunomide completed the study on the assigned study drug. The proportion of patients who received ofatumumab and who discontinued treatment was 14.0%, versus 21.2% for those in the teriflunomide group. The most common reasons for discontinuation were patient/guardian decision (ofatumumab, 4.9%; teriflunomide, 8.2%), adverse event (ofatumumab, 5.2%; teriflunomide, 5.0%), and physician decision (ofatumumab, 2.2%; teriflunomide, 6.5%).
In the ASCLEPIOS II study, the rates were similar in all measures.
“In ASCLEPIOS trials, compliance with home-administered subcutaneous ofatumumab was high, and fewer patients discontinued ofatumumab as compared to teriflunomide,” the authors concluded.
Comparator drug a weak choice?
In commenting on the research, Stephen Kamin, MD, professor, vice chair, and chief of service, department of neurology, New Jersey Medical School, in Newark, noted that a limitation of the ASCLEPIOS trials is the comparison with teriflunomide.
“The comparator drug, teriflunomide, is one of the least effective DMTs, and one that some clinicians, including myself, don’t use,” he said.
Previously, when asked in an interview about the choice of teriflunomide as the comparator, Dr. Hauser noted that considerable discussion had gone into the decision. “The rationale was that we wanted to have a comparator that would be present not only against focal disease activity but also potentially against progression, and we were also able to blind the study successfully,” he said at the time.
Dr. Kamin said that ofatumumab will nevertheless likely represent a welcome addition to the tool kit of treatment options for MS. “Any new drug is helpful in adding to our choices as a general rule,” he said. “Subcutaneous injection does have increased convenience.”
It is not likely that the drug will be a game changer, he added, although the treatment’s efficacy compared with other drugs remains to be seen. “It all depends upon the relative efficacy of ofatumumab versus ocrelizumab or siponimod,” Dr. Kamin said.
“There has been another subcutaneous monoclonal for MS, daclizumab, although this was withdrawn from the market due to severe adverse effects not related to route of administration,” he added.
Dr. Hauser has relationships with Alector, Annexon, Bionure, Molecular Stethoscope, Symbiotix, and F. Hoffmann-La Roche. Dr. Kamin has received research support from Biogen, Novartis and CMSC.
A version of this article originally appeared on Medscape.com.
, a new study shows.
The drug, which is already approved for the treatment of chronic lymphocytic leukemia, is currently under review for relapsing MS as a once-per-month self-injected therapy that could offer a convenient alternative to DMTs that require in-office infusion.
The new findings are from a pooled analysis from the phase 3 ASCLEPIOS I/II trials of the use of ofatumumab for patients with relapsing MS. There were 927 patients in the ASCLEPIOS I trial and 955 in the ASCLEPIOS II trial. The trials were conducted in 37 countries and involved patients aged 18-55 years.
The late-breaking research was presented at the virtual meeting of the Consortium of Multiple Sclerosis Centers (CMSC).
The studies compared patients who were treated with subcutaneous ofatumumab 20 mg with patients treated with oral teriflunomide 14 mg once daily for up to 30 months. The average duration of follow-up was 18 months.
NEDA-3, commonly used to determine treatment outcomes for patients with relapsing MS, was defined as a composite of having no worsening of disability over a 6-month period (6mCDW), no confirmed MS relapse, no new/enlarging T2 lesions, and no gadolinium-enhancing T1 lesions.
The pooled results showed that the odds of achieving NEDA-3 during the first 12 months were three times greater with ofatumumab than with teriflunomide (47.0% vs. 24.5%; odds ratio [OR], 3.36; P < .001) and were more than eight times greater from months 12 to 24 (87.8% vs. 48.2%; OR, 8.09; P < .001).
In addition, compared with patients who received teriflunomide, a higher proportion of patients who received ofatumumab were free from 6mCDW over 2 years (91.9% vs. 88.9%), as well as from relapses (82.3% vs 69.2%) and lesion activity (54.1% vs. 27.5%).
There was a significantly greater reduction in annualized relapse rate with ofatumumab compared with teriflunomide at all cumulative time intervals, including months 0 to 3 (P = .011), and at all subsequent time intervals from month 0 to 27 (P < .001).
The pooled findings further showed that ofatumumab reduced the mean number of gadolinium-enhancing T1 lesions per scan by 95.9% compared with teriflunomide (P < .001).
“Ofatumumab increased the probability of achieving NEDA-3 and demonstrated superior efficacy vs teriflunomide in patients with relapsing MS,” said the authors, led by Stephen L. Hauser, MD, of the department of neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco.
Ofatumumab superior in primary, secondary outcomes
As previously reported, subcutaneous ofatumumab also demonstrated superior efficacy over oral teriflunomide in the primary and secondary endpoints in the ASCLEPIOS I/II trials. The annualized relapse rate was reduced by 0.22 in the teriflunomide group, vs 0.11 in the ofatumumab group (50.5% relative reduction; P < .001) in the ASCLEPIOS I trial, and by 0.25 vs. 0.10 (58.5% relative reduction P < .001) in ASCLEPIOS II.
Ofatumumab also reduced the number of gadolinium-enhancing T1 lesions and new or enlarging T2 lesions compared with teriflunomide (all P < .001). It reduced the risk for disability progression by 34.4% over 3 months and by 32.5% over 6 months.
In the studies, the rate of serious infection with ofatumumab was 2.5%, compared with 1.8% with teriflunomide. Rates of malignancies were 0.5% and 0.3%, respectively.
“Ofatumumab demonstrated superior efficacy versus teriflunomide, with an acceptable safety profile, in patients with relapsing MS,” the authors reported.
Adherence rates with self-injection encouraging
An additional analysis from the two trials presented virtually in a separate abstract at the CMSC showed greater adherence to the self-administered regimen.
The analysis shows that in the ASCLEPIOS I study, 86.0% patients who were randomly assigned to receive ofatumumab and 77.7% who received teriflunomide completed the study on the assigned study drug. The proportion of patients who received ofatumumab and who discontinued treatment was 14.0%, versus 21.2% for those in the teriflunomide group. The most common reasons for discontinuation were patient/guardian decision (ofatumumab, 4.9%; teriflunomide, 8.2%), adverse event (ofatumumab, 5.2%; teriflunomide, 5.0%), and physician decision (ofatumumab, 2.2%; teriflunomide, 6.5%).
In the ASCLEPIOS II study, the rates were similar in all measures.
“In ASCLEPIOS trials, compliance with home-administered subcutaneous ofatumumab was high, and fewer patients discontinued ofatumumab as compared to teriflunomide,” the authors concluded.
Comparator drug a weak choice?
In commenting on the research, Stephen Kamin, MD, professor, vice chair, and chief of service, department of neurology, New Jersey Medical School, in Newark, noted that a limitation of the ASCLEPIOS trials is the comparison with teriflunomide.
“The comparator drug, teriflunomide, is one of the least effective DMTs, and one that some clinicians, including myself, don’t use,” he said.
Previously, when asked in an interview about the choice of teriflunomide as the comparator, Dr. Hauser noted that considerable discussion had gone into the decision. “The rationale was that we wanted to have a comparator that would be present not only against focal disease activity but also potentially against progression, and we were also able to blind the study successfully,” he said at the time.
Dr. Kamin said that ofatumumab will nevertheless likely represent a welcome addition to the tool kit of treatment options for MS. “Any new drug is helpful in adding to our choices as a general rule,” he said. “Subcutaneous injection does have increased convenience.”
It is not likely that the drug will be a game changer, he added, although the treatment’s efficacy compared with other drugs remains to be seen. “It all depends upon the relative efficacy of ofatumumab versus ocrelizumab or siponimod,” Dr. Kamin said.
“There has been another subcutaneous monoclonal for MS, daclizumab, although this was withdrawn from the market due to severe adverse effects not related to route of administration,” he added.
Dr. Hauser has relationships with Alector, Annexon, Bionure, Molecular Stethoscope, Symbiotix, and F. Hoffmann-La Roche. Dr. Kamin has received research support from Biogen, Novartis and CMSC.
A version of this article originally appeared on Medscape.com.
From CMSC 2020
High levels of air pollution linked to increased MS risk
, new research suggests. A large cohort study of almost 550,000 individuals living in Italy showed that participants living in areas with high levels of pollutants had a significantly greater risk of developing MS than those who lived in areas with low levels of pollutants.
The findings further confirm a relationship between exposure to air pollutants and risk for MS that has been shown in previous research, said Roberto Bergamaschi, MD, PhD, director of the Multiple Sclerosis Center, IRCCS Mondino Foundation, Pavia, Italy.
“Countermeasures that cut air pollution can be important for public health, not only to reduce deaths related to cardiac and pulmonary diseases but also the risk of chronic autoimmune diseases such as MS,” Dr. Bergamaschi said.
The findings were presented at the Congress of the European Academy of Neurology (EAN) 2020, which transitioned to a virtual/online meeting because of the COVID-19 pandemic.
Toxic pollutants
Several environmental factors may trigger an abnormal immune response that manifests in MS. The most studied of these are low vitamin D level, cigarette smoking, and an unhealthy diet, Dr. Bergamaschi said. However, “other environmental factors deserve to be studied—pollution included,” he added.
Among the most toxic air pollutants are particulate matter (PM), which is a mixture of fine solid and liquid particles suspended in the earth’s atmosphere. PM may range from 2.5 microns (PM2.5) to 10 microns (PM10) in diameter.
The main sources of such pollutants are household and commercial heating (53%) and industrial activities (17%), followed by road vehicle and non–road vehicle use, agriculture, and electricity production.
The World Health Organization estimates that more than 3.2 million individuals worldwide die prematurely every year because of lung cancer, cardiovascular disease, and other diseases related to air pollutants, said Dr. Bergamaschi.
Epidemiologic research has uncovered a relationship between air pollution and MS. A large American study published in 2008 in Science of the Total Environment showed a significant association between MS prevalence and PM10 levels (P < 0.001). Other studies have shown an increase in the number of clinical relapses of MS that were linked to air pollution.
The current investigators assessed the association between PM2.5 levels and MS prevalence in the northern province of Pavia, which has a population of 547,251 individuals in 188 municipalities.
Peculiar features
Pavia is situated in a flat territory that encompasses the highly industrialized regions of Piedmont, Lombardy, Emilia-Romagna, and Veneto. It has a high level of anthropogenic emissions, or environmental pollutants, originating from human activity, Dr. Bergamaschi reported. The region also has “peculiar” geographical features that “favor the accumulation of pollutants,” such as the natural barrier of the Alps in the north and low wind speed, he said.
The researchers identified 927 individuals with MS (315 male and 612 female) in the province. The overall MS prevalence rate was 169.4 per 100,000 population (95% confidence interval [CI], 158.8 – 180.6), which is 10-fold higher than 50 years ago, Dr. Bergamaschi said. In addition, this MS prevalence is higher than that in the United States, which is about 150 per 100,000 population.
Using sophisticated Bayesian disease mapping, the investigators looked for clusters of MS. They also gathered emission data for PM2.5 from 2010 to 2017 from the European Monitoring and Evaluation Programme database. They then divided the region on the basis of average winter concentrations of PM2.5.
Three distinct lateral areas of air pollution were identified. The more northern region, which includes the large urban center of Milan, had the highest level of air pollution. Concentrations decreased the further south the investigators looked.
After adjusting for age, urbanization (population density), and deprivation index, results showed that living in areas with high levels of pollutants was associated with increased MS risk. When controlling for PM2.5 pollution, participants in urban areas had an increased risk for MS compared with rural dwellers (relative risk [RR], 1.16; 95% CI, 1.04 – 1.30; P = 0.003)
Dr. Bergamaschi said it is unclear whether this risk is higher for certain types of MS. “To my knowledge, no study has analyzed possible relationships between MS phenotypes and air pollution,” he noted.
Vitamin D’s role?
Several mechanisms might help explain the relationship between air pollution and MS risk, he added. These include oxidative stress, which results in cell damage, inflammation, and proinflammatory cytokine release. Vitamin D also likely plays some role, Dr. Bergamaschi said. Upon penetrating the lower strata of the earth’s atmosphere, ultraviolet B radiation is absorbed and scattered by suspended pollutants.
Several studies have highlighted the correlation between living in a polluted area and vitamin D hypovitaminosis; “so air pollution can contribute to increasing the risk of MS by reducing vitamin D synthesis,” he said.
Recent research has also shown that air pollution is associated with a higher risk for other autoimmune disorders, including systemic lupus erythematosus, rheumatoid arthritis, and type 1 diabetes mellitus.
However, pollution alone is only part of the picture. MS prevalence in highly populated and polluted countries such as China and India is low, with no more than 30 to 40 cases per 100,000 population, Dr. Bergamaschi noted. “This discrepancy is explained by different genetic backgrounds. While Caucasians are particularly susceptible to MS, Asians are not,” he said.
Study limitations cited included a possible bias because the analysis did not include other possible contributing risk factors, particularly other pollutants, Dr. Bergamaschi said.
Commenting on the research, Lily Jung Henson, MD, chief of neurology at Piedmont Healthcare in Stockbridge, Georgia, said the findings provide “a fascinating glimpse” into possible causative factors for MS and warrant further investigation.
“This research also suggests other opportunities to look at, such as progression of the degree of air pollution and the incidence of MS over time,” said Dr. Henson, who was not involved with the study.
Drs. Bergamaschi and Dr. Henson have reported no relevant financial relationships.
This article first appeared on Medscape.com.
, new research suggests. A large cohort study of almost 550,000 individuals living in Italy showed that participants living in areas with high levels of pollutants had a significantly greater risk of developing MS than those who lived in areas with low levels of pollutants.
The findings further confirm a relationship between exposure to air pollutants and risk for MS that has been shown in previous research, said Roberto Bergamaschi, MD, PhD, director of the Multiple Sclerosis Center, IRCCS Mondino Foundation, Pavia, Italy.
“Countermeasures that cut air pollution can be important for public health, not only to reduce deaths related to cardiac and pulmonary diseases but also the risk of chronic autoimmune diseases such as MS,” Dr. Bergamaschi said.
The findings were presented at the Congress of the European Academy of Neurology (EAN) 2020, which transitioned to a virtual/online meeting because of the COVID-19 pandemic.
Toxic pollutants
Several environmental factors may trigger an abnormal immune response that manifests in MS. The most studied of these are low vitamin D level, cigarette smoking, and an unhealthy diet, Dr. Bergamaschi said. However, “other environmental factors deserve to be studied—pollution included,” he added.
Among the most toxic air pollutants are particulate matter (PM), which is a mixture of fine solid and liquid particles suspended in the earth’s atmosphere. PM may range from 2.5 microns (PM2.5) to 10 microns (PM10) in diameter.
The main sources of such pollutants are household and commercial heating (53%) and industrial activities (17%), followed by road vehicle and non–road vehicle use, agriculture, and electricity production.
The World Health Organization estimates that more than 3.2 million individuals worldwide die prematurely every year because of lung cancer, cardiovascular disease, and other diseases related to air pollutants, said Dr. Bergamaschi.
Epidemiologic research has uncovered a relationship between air pollution and MS. A large American study published in 2008 in Science of the Total Environment showed a significant association between MS prevalence and PM10 levels (P < 0.001). Other studies have shown an increase in the number of clinical relapses of MS that were linked to air pollution.
The current investigators assessed the association between PM2.5 levels and MS prevalence in the northern province of Pavia, which has a population of 547,251 individuals in 188 municipalities.
Peculiar features
Pavia is situated in a flat territory that encompasses the highly industrialized regions of Piedmont, Lombardy, Emilia-Romagna, and Veneto. It has a high level of anthropogenic emissions, or environmental pollutants, originating from human activity, Dr. Bergamaschi reported. The region also has “peculiar” geographical features that “favor the accumulation of pollutants,” such as the natural barrier of the Alps in the north and low wind speed, he said.
The researchers identified 927 individuals with MS (315 male and 612 female) in the province. The overall MS prevalence rate was 169.4 per 100,000 population (95% confidence interval [CI], 158.8 – 180.6), which is 10-fold higher than 50 years ago, Dr. Bergamaschi said. In addition, this MS prevalence is higher than that in the United States, which is about 150 per 100,000 population.
Using sophisticated Bayesian disease mapping, the investigators looked for clusters of MS. They also gathered emission data for PM2.5 from 2010 to 2017 from the European Monitoring and Evaluation Programme database. They then divided the region on the basis of average winter concentrations of PM2.5.
Three distinct lateral areas of air pollution were identified. The more northern region, which includes the large urban center of Milan, had the highest level of air pollution. Concentrations decreased the further south the investigators looked.
After adjusting for age, urbanization (population density), and deprivation index, results showed that living in areas with high levels of pollutants was associated with increased MS risk. When controlling for PM2.5 pollution, participants in urban areas had an increased risk for MS compared with rural dwellers (relative risk [RR], 1.16; 95% CI, 1.04 – 1.30; P = 0.003)
Dr. Bergamaschi said it is unclear whether this risk is higher for certain types of MS. “To my knowledge, no study has analyzed possible relationships between MS phenotypes and air pollution,” he noted.
Vitamin D’s role?
Several mechanisms might help explain the relationship between air pollution and MS risk, he added. These include oxidative stress, which results in cell damage, inflammation, and proinflammatory cytokine release. Vitamin D also likely plays some role, Dr. Bergamaschi said. Upon penetrating the lower strata of the earth’s atmosphere, ultraviolet B radiation is absorbed and scattered by suspended pollutants.
Several studies have highlighted the correlation between living in a polluted area and vitamin D hypovitaminosis; “so air pollution can contribute to increasing the risk of MS by reducing vitamin D synthesis,” he said.
Recent research has also shown that air pollution is associated with a higher risk for other autoimmune disorders, including systemic lupus erythematosus, rheumatoid arthritis, and type 1 diabetes mellitus.
However, pollution alone is only part of the picture. MS prevalence in highly populated and polluted countries such as China and India is low, with no more than 30 to 40 cases per 100,000 population, Dr. Bergamaschi noted. “This discrepancy is explained by different genetic backgrounds. While Caucasians are particularly susceptible to MS, Asians are not,” he said.
Study limitations cited included a possible bias because the analysis did not include other possible contributing risk factors, particularly other pollutants, Dr. Bergamaschi said.
Commenting on the research, Lily Jung Henson, MD, chief of neurology at Piedmont Healthcare in Stockbridge, Georgia, said the findings provide “a fascinating glimpse” into possible causative factors for MS and warrant further investigation.
“This research also suggests other opportunities to look at, such as progression of the degree of air pollution and the incidence of MS over time,” said Dr. Henson, who was not involved with the study.
Drs. Bergamaschi and Dr. Henson have reported no relevant financial relationships.
This article first appeared on Medscape.com.
, new research suggests. A large cohort study of almost 550,000 individuals living in Italy showed that participants living in areas with high levels of pollutants had a significantly greater risk of developing MS than those who lived in areas with low levels of pollutants.
The findings further confirm a relationship between exposure to air pollutants and risk for MS that has been shown in previous research, said Roberto Bergamaschi, MD, PhD, director of the Multiple Sclerosis Center, IRCCS Mondino Foundation, Pavia, Italy.
“Countermeasures that cut air pollution can be important for public health, not only to reduce deaths related to cardiac and pulmonary diseases but also the risk of chronic autoimmune diseases such as MS,” Dr. Bergamaschi said.
The findings were presented at the Congress of the European Academy of Neurology (EAN) 2020, which transitioned to a virtual/online meeting because of the COVID-19 pandemic.
Toxic pollutants
Several environmental factors may trigger an abnormal immune response that manifests in MS. The most studied of these are low vitamin D level, cigarette smoking, and an unhealthy diet, Dr. Bergamaschi said. However, “other environmental factors deserve to be studied—pollution included,” he added.
Among the most toxic air pollutants are particulate matter (PM), which is a mixture of fine solid and liquid particles suspended in the earth’s atmosphere. PM may range from 2.5 microns (PM2.5) to 10 microns (PM10) in diameter.
The main sources of such pollutants are household and commercial heating (53%) and industrial activities (17%), followed by road vehicle and non–road vehicle use, agriculture, and electricity production.
The World Health Organization estimates that more than 3.2 million individuals worldwide die prematurely every year because of lung cancer, cardiovascular disease, and other diseases related to air pollutants, said Dr. Bergamaschi.
Epidemiologic research has uncovered a relationship between air pollution and MS. A large American study published in 2008 in Science of the Total Environment showed a significant association between MS prevalence and PM10 levels (P < 0.001). Other studies have shown an increase in the number of clinical relapses of MS that were linked to air pollution.
The current investigators assessed the association between PM2.5 levels and MS prevalence in the northern province of Pavia, which has a population of 547,251 individuals in 188 municipalities.
Peculiar features
Pavia is situated in a flat territory that encompasses the highly industrialized regions of Piedmont, Lombardy, Emilia-Romagna, and Veneto. It has a high level of anthropogenic emissions, or environmental pollutants, originating from human activity, Dr. Bergamaschi reported. The region also has “peculiar” geographical features that “favor the accumulation of pollutants,” such as the natural barrier of the Alps in the north and low wind speed, he said.
The researchers identified 927 individuals with MS (315 male and 612 female) in the province. The overall MS prevalence rate was 169.4 per 100,000 population (95% confidence interval [CI], 158.8 – 180.6), which is 10-fold higher than 50 years ago, Dr. Bergamaschi said. In addition, this MS prevalence is higher than that in the United States, which is about 150 per 100,000 population.
Using sophisticated Bayesian disease mapping, the investigators looked for clusters of MS. They also gathered emission data for PM2.5 from 2010 to 2017 from the European Monitoring and Evaluation Programme database. They then divided the region on the basis of average winter concentrations of PM2.5.
Three distinct lateral areas of air pollution were identified. The more northern region, which includes the large urban center of Milan, had the highest level of air pollution. Concentrations decreased the further south the investigators looked.
After adjusting for age, urbanization (population density), and deprivation index, results showed that living in areas with high levels of pollutants was associated with increased MS risk. When controlling for PM2.5 pollution, participants in urban areas had an increased risk for MS compared with rural dwellers (relative risk [RR], 1.16; 95% CI, 1.04 – 1.30; P = 0.003)
Dr. Bergamaschi said it is unclear whether this risk is higher for certain types of MS. “To my knowledge, no study has analyzed possible relationships between MS phenotypes and air pollution,” he noted.
Vitamin D’s role?
Several mechanisms might help explain the relationship between air pollution and MS risk, he added. These include oxidative stress, which results in cell damage, inflammation, and proinflammatory cytokine release. Vitamin D also likely plays some role, Dr. Bergamaschi said. Upon penetrating the lower strata of the earth’s atmosphere, ultraviolet B radiation is absorbed and scattered by suspended pollutants.
Several studies have highlighted the correlation between living in a polluted area and vitamin D hypovitaminosis; “so air pollution can contribute to increasing the risk of MS by reducing vitamin D synthesis,” he said.
Recent research has also shown that air pollution is associated with a higher risk for other autoimmune disorders, including systemic lupus erythematosus, rheumatoid arthritis, and type 1 diabetes mellitus.
However, pollution alone is only part of the picture. MS prevalence in highly populated and polluted countries such as China and India is low, with no more than 30 to 40 cases per 100,000 population, Dr. Bergamaschi noted. “This discrepancy is explained by different genetic backgrounds. While Caucasians are particularly susceptible to MS, Asians are not,” he said.
Study limitations cited included a possible bias because the analysis did not include other possible contributing risk factors, particularly other pollutants, Dr. Bergamaschi said.
Commenting on the research, Lily Jung Henson, MD, chief of neurology at Piedmont Healthcare in Stockbridge, Georgia, said the findings provide “a fascinating glimpse” into possible causative factors for MS and warrant further investigation.
“This research also suggests other opportunities to look at, such as progression of the degree of air pollution and the incidence of MS over time,” said Dr. Henson, who was not involved with the study.
Drs. Bergamaschi and Dr. Henson have reported no relevant financial relationships.
This article first appeared on Medscape.com.
FROM EAN 2020
Mixed results for aducanumab in two phase 3 trials for Alzheimer’s disease
Aducanumab was associated with favorable changes in activities of daily living and in Alzheimer’s disease biomarkers.
The EMERGE and ENGAGE studies compared low-dose and high-dose aducanumab and placebo over 78 weeks. The high-dose EMERGE cohort experienced a 22% improvement in the primary outcome – adjusted mean Clinical Dementia Rating Sum of Box (CDR-SB) scores – compared with baseline.
“We have with EMERGE, in the high-dose group, a positive result,” said lead author Samantha Budd Haeberlein, PhD, who presented this research online as part of the 2020 American Academy of Neurology Science Highlights.
In contrast, the low-dose EMERGE group, as well as the low-dose and high-dose cohorts in the ENGAGE study, experienced no statistically significant change in CDR-SB outcomes.
Clinical benefit was associated with the degree of exposure to aducanumab. For example, a protocol adjustment during the study increased the mean dose of aducanumab, a move associated with better outcomes.
“We believe that the difference between the results was largely due to patients’ greater exposure to the high dose of aducanumab,” Dr. Haerberlein, senior vice president and head of the neurodegeneration development unit at Biogen in Cambridge, Mass., said in an interview.
Although the studies shared an identical design, “because ENGAGE began enrolling first and recruitment remained ahead of EMERGE, more patients in EMERGE were impacted by the protocol amendments, which we believe resulted in a higher number of patients exposed to the highest dose in EMERGE versus ENGAGE,” Dr. Haerberlein added.
The EMERGE and ENGAGE studies were conducted at 348 sites in 20 countries. The research included a total of 3,285 participants with mild cognitive impairment caused by Alzheimer’s disease or mild Alzheimer’s disease dementia.
The mean age was 70 years, about 52% were women, and slightly more than half had a history of taking medication for Alzheimer’s disease. The mean Mini-Mental State Exam (MMSE) score was 26 at baseline.
Key findings
Dr. Haerberlein and colleagues reported that the 22% decrease in CDR-SB scores in the high-dose EMERGE participants was significant (P = .01). No significant difference emerged, however, in the ENGAGE study, where high-dose participants had a 2% decrease at 78 weeks in CDR-SB scores (P = .83).
The high-dose EMERGE regimen was also associated with an 18% improvement in MMSE scores (P < .05). In the ENGAGE study, the high-dose MMSE scores increased a nonsignificant 3% (P = .81).
The researchers reported no significant differences in the low-dose cohorts in both studies regarding CDR-SB or MMSE scores at week 78, compared with baseline.
They also assessed amyloid using PET scans. Levels remained essentially the same throughout both studies in the placebo participants. In contrast, there was a statistically significant, dose- and time-dependent reduction associated with both low- and high-dose aducanumab.
Aducanumab treatment was associated with significant benefits on measures of cognition and function such as memory, orientation, and language, Dr. Haeberlein said. “Patients also experienced benefits on activities of daily living including conducting personal finances; performing household chores such as cleaning, shopping, and doing laundry; and independently traveling out of the home.”
Furthermore, reductions in the CSF biomarker phospho-tau in the high-dose EMERGE and ENGAGE cohorts were statistically significant. In contrast, changes in total tau were not significant.
The proportion of patients who experienced an adverse event during EMERGE was similar across groups – 92% of the high-dose group, 88% of the low-dose group, and 87% of the placebo cohort. Similar rates were reported in the ENGAGE high-dose, 90%; low-dose, 90%; and placebo cohorts, 86%.
Adverse events reported in more than 10% of participants included headache, nasopharyngitis, and two forms of amyloid-related imaging abnormalities (ARIA), one of which related to edema (ARIA-E) and the other to hemosiderosis (ARIA-H).
Future plans
Going forward, the researchers are conducting a redosing study to offer aducanumab to all participants in the clinical trials. Also, Biogen is completing the filing of a Biologics License Application with the Food and Drug Administration and with regulatory agencies in other countries.
Early identification and treatment of Alzheimer’s disease remains a priority, Dr. Haeberlein said, because it offers an opportunity to begin health measures like exercise, mental activity, and social engagement; allows people more time to plan for the future; and gives families and loved ones’ time to prepare and support each other. From a research perspective, early identification of this population can maximize chances of participation in a clinical trial as well.
Unanswered questions
“Briefly, while both [studies] were looking at aducanumab’s effect on rate of decline across a variety of measures, one statistically showed a positive impact in a subset and the other did not,” Richard J. Caselli, MD, said when asked to comment on the EMERGE and ENGAGE findings. “The subset were the mildest affected patients on the highest dose for the longest time.”
The main difference between the two studies was that one was adequately powered for this subanalysis and the other was not. Even the underpowered subanalysis showed a beneficial trend, added Dr. Caselli, a neurologist at the Mayo Clinic in Phoenix, Arizona.
Dr. Caselli said these findings raise a number of unanswered questions. For example, is a subanalysis valid? Is the degree of improvement clinically meaningful or meaningful enough to justify the anticipated cost of the drug itself – “likely to be very expensive” plus the “cost and hassle” of monthly IV infusions? Is there enough provider and infusion center capacity going forward? What will the reimbursement from third party payers be like?
Biogen sponsored the EMERGE and ENGAGE studies. Dr. Haeberlein is a Biogen employee. Dr. Caselli had no relevant disclosures.
SOURCE: Haeberlein SB et al. AAN 2020, Abstract 46977.
Aducanumab was associated with favorable changes in activities of daily living and in Alzheimer’s disease biomarkers.
The EMERGE and ENGAGE studies compared low-dose and high-dose aducanumab and placebo over 78 weeks. The high-dose EMERGE cohort experienced a 22% improvement in the primary outcome – adjusted mean Clinical Dementia Rating Sum of Box (CDR-SB) scores – compared with baseline.
“We have with EMERGE, in the high-dose group, a positive result,” said lead author Samantha Budd Haeberlein, PhD, who presented this research online as part of the 2020 American Academy of Neurology Science Highlights.
In contrast, the low-dose EMERGE group, as well as the low-dose and high-dose cohorts in the ENGAGE study, experienced no statistically significant change in CDR-SB outcomes.
Clinical benefit was associated with the degree of exposure to aducanumab. For example, a protocol adjustment during the study increased the mean dose of aducanumab, a move associated with better outcomes.
“We believe that the difference between the results was largely due to patients’ greater exposure to the high dose of aducanumab,” Dr. Haerberlein, senior vice president and head of the neurodegeneration development unit at Biogen in Cambridge, Mass., said in an interview.
Although the studies shared an identical design, “because ENGAGE began enrolling first and recruitment remained ahead of EMERGE, more patients in EMERGE were impacted by the protocol amendments, which we believe resulted in a higher number of patients exposed to the highest dose in EMERGE versus ENGAGE,” Dr. Haerberlein added.
The EMERGE and ENGAGE studies were conducted at 348 sites in 20 countries. The research included a total of 3,285 participants with mild cognitive impairment caused by Alzheimer’s disease or mild Alzheimer’s disease dementia.
The mean age was 70 years, about 52% were women, and slightly more than half had a history of taking medication for Alzheimer’s disease. The mean Mini-Mental State Exam (MMSE) score was 26 at baseline.
Key findings
Dr. Haerberlein and colleagues reported that the 22% decrease in CDR-SB scores in the high-dose EMERGE participants was significant (P = .01). No significant difference emerged, however, in the ENGAGE study, where high-dose participants had a 2% decrease at 78 weeks in CDR-SB scores (P = .83).
The high-dose EMERGE regimen was also associated with an 18% improvement in MMSE scores (P < .05). In the ENGAGE study, the high-dose MMSE scores increased a nonsignificant 3% (P = .81).
The researchers reported no significant differences in the low-dose cohorts in both studies regarding CDR-SB or MMSE scores at week 78, compared with baseline.
They also assessed amyloid using PET scans. Levels remained essentially the same throughout both studies in the placebo participants. In contrast, there was a statistically significant, dose- and time-dependent reduction associated with both low- and high-dose aducanumab.
Aducanumab treatment was associated with significant benefits on measures of cognition and function such as memory, orientation, and language, Dr. Haeberlein said. “Patients also experienced benefits on activities of daily living including conducting personal finances; performing household chores such as cleaning, shopping, and doing laundry; and independently traveling out of the home.”
Furthermore, reductions in the CSF biomarker phospho-tau in the high-dose EMERGE and ENGAGE cohorts were statistically significant. In contrast, changes in total tau were not significant.
The proportion of patients who experienced an adverse event during EMERGE was similar across groups – 92% of the high-dose group, 88% of the low-dose group, and 87% of the placebo cohort. Similar rates were reported in the ENGAGE high-dose, 90%; low-dose, 90%; and placebo cohorts, 86%.
Adverse events reported in more than 10% of participants included headache, nasopharyngitis, and two forms of amyloid-related imaging abnormalities (ARIA), one of which related to edema (ARIA-E) and the other to hemosiderosis (ARIA-H).
Future plans
Going forward, the researchers are conducting a redosing study to offer aducanumab to all participants in the clinical trials. Also, Biogen is completing the filing of a Biologics License Application with the Food and Drug Administration and with regulatory agencies in other countries.
Early identification and treatment of Alzheimer’s disease remains a priority, Dr. Haeberlein said, because it offers an opportunity to begin health measures like exercise, mental activity, and social engagement; allows people more time to plan for the future; and gives families and loved ones’ time to prepare and support each other. From a research perspective, early identification of this population can maximize chances of participation in a clinical trial as well.
Unanswered questions
“Briefly, while both [studies] were looking at aducanumab’s effect on rate of decline across a variety of measures, one statistically showed a positive impact in a subset and the other did not,” Richard J. Caselli, MD, said when asked to comment on the EMERGE and ENGAGE findings. “The subset were the mildest affected patients on the highest dose for the longest time.”
The main difference between the two studies was that one was adequately powered for this subanalysis and the other was not. Even the underpowered subanalysis showed a beneficial trend, added Dr. Caselli, a neurologist at the Mayo Clinic in Phoenix, Arizona.
Dr. Caselli said these findings raise a number of unanswered questions. For example, is a subanalysis valid? Is the degree of improvement clinically meaningful or meaningful enough to justify the anticipated cost of the drug itself – “likely to be very expensive” plus the “cost and hassle” of monthly IV infusions? Is there enough provider and infusion center capacity going forward? What will the reimbursement from third party payers be like?
Biogen sponsored the EMERGE and ENGAGE studies. Dr. Haeberlein is a Biogen employee. Dr. Caselli had no relevant disclosures.
SOURCE: Haeberlein SB et al. AAN 2020, Abstract 46977.
Aducanumab was associated with favorable changes in activities of daily living and in Alzheimer’s disease biomarkers.
The EMERGE and ENGAGE studies compared low-dose and high-dose aducanumab and placebo over 78 weeks. The high-dose EMERGE cohort experienced a 22% improvement in the primary outcome – adjusted mean Clinical Dementia Rating Sum of Box (CDR-SB) scores – compared with baseline.
“We have with EMERGE, in the high-dose group, a positive result,” said lead author Samantha Budd Haeberlein, PhD, who presented this research online as part of the 2020 American Academy of Neurology Science Highlights.
In contrast, the low-dose EMERGE group, as well as the low-dose and high-dose cohorts in the ENGAGE study, experienced no statistically significant change in CDR-SB outcomes.
Clinical benefit was associated with the degree of exposure to aducanumab. For example, a protocol adjustment during the study increased the mean dose of aducanumab, a move associated with better outcomes.
“We believe that the difference between the results was largely due to patients’ greater exposure to the high dose of aducanumab,” Dr. Haerberlein, senior vice president and head of the neurodegeneration development unit at Biogen in Cambridge, Mass., said in an interview.
Although the studies shared an identical design, “because ENGAGE began enrolling first and recruitment remained ahead of EMERGE, more patients in EMERGE were impacted by the protocol amendments, which we believe resulted in a higher number of patients exposed to the highest dose in EMERGE versus ENGAGE,” Dr. Haerberlein added.
The EMERGE and ENGAGE studies were conducted at 348 sites in 20 countries. The research included a total of 3,285 participants with mild cognitive impairment caused by Alzheimer’s disease or mild Alzheimer’s disease dementia.
The mean age was 70 years, about 52% were women, and slightly more than half had a history of taking medication for Alzheimer’s disease. The mean Mini-Mental State Exam (MMSE) score was 26 at baseline.
Key findings
Dr. Haerberlein and colleagues reported that the 22% decrease in CDR-SB scores in the high-dose EMERGE participants was significant (P = .01). No significant difference emerged, however, in the ENGAGE study, where high-dose participants had a 2% decrease at 78 weeks in CDR-SB scores (P = .83).
The high-dose EMERGE regimen was also associated with an 18% improvement in MMSE scores (P < .05). In the ENGAGE study, the high-dose MMSE scores increased a nonsignificant 3% (P = .81).
The researchers reported no significant differences in the low-dose cohorts in both studies regarding CDR-SB or MMSE scores at week 78, compared with baseline.
They also assessed amyloid using PET scans. Levels remained essentially the same throughout both studies in the placebo participants. In contrast, there was a statistically significant, dose- and time-dependent reduction associated with both low- and high-dose aducanumab.
Aducanumab treatment was associated with significant benefits on measures of cognition and function such as memory, orientation, and language, Dr. Haeberlein said. “Patients also experienced benefits on activities of daily living including conducting personal finances; performing household chores such as cleaning, shopping, and doing laundry; and independently traveling out of the home.”
Furthermore, reductions in the CSF biomarker phospho-tau in the high-dose EMERGE and ENGAGE cohorts were statistically significant. In contrast, changes in total tau were not significant.
The proportion of patients who experienced an adverse event during EMERGE was similar across groups – 92% of the high-dose group, 88% of the low-dose group, and 87% of the placebo cohort. Similar rates were reported in the ENGAGE high-dose, 90%; low-dose, 90%; and placebo cohorts, 86%.
Adverse events reported in more than 10% of participants included headache, nasopharyngitis, and two forms of amyloid-related imaging abnormalities (ARIA), one of which related to edema (ARIA-E) and the other to hemosiderosis (ARIA-H).
Future plans
Going forward, the researchers are conducting a redosing study to offer aducanumab to all participants in the clinical trials. Also, Biogen is completing the filing of a Biologics License Application with the Food and Drug Administration and with regulatory agencies in other countries.
Early identification and treatment of Alzheimer’s disease remains a priority, Dr. Haeberlein said, because it offers an opportunity to begin health measures like exercise, mental activity, and social engagement; allows people more time to plan for the future; and gives families and loved ones’ time to prepare and support each other. From a research perspective, early identification of this population can maximize chances of participation in a clinical trial as well.
Unanswered questions
“Briefly, while both [studies] were looking at aducanumab’s effect on rate of decline across a variety of measures, one statistically showed a positive impact in a subset and the other did not,” Richard J. Caselli, MD, said when asked to comment on the EMERGE and ENGAGE findings. “The subset were the mildest affected patients on the highest dose for the longest time.”
The main difference between the two studies was that one was adequately powered for this subanalysis and the other was not. Even the underpowered subanalysis showed a beneficial trend, added Dr. Caselli, a neurologist at the Mayo Clinic in Phoenix, Arizona.
Dr. Caselli said these findings raise a number of unanswered questions. For example, is a subanalysis valid? Is the degree of improvement clinically meaningful or meaningful enough to justify the anticipated cost of the drug itself – “likely to be very expensive” plus the “cost and hassle” of monthly IV infusions? Is there enough provider and infusion center capacity going forward? What will the reimbursement from third party payers be like?
Biogen sponsored the EMERGE and ENGAGE studies. Dr. Haeberlein is a Biogen employee. Dr. Caselli had no relevant disclosures.
SOURCE: Haeberlein SB et al. AAN 2020, Abstract 46977.
FROM AAN 2020
Galcanezumab looks promising for treatment-resistant migraine
Holland C. Detke, PhD, senior clinical research advisor at Eli Lilly and Company Biomedicines.
“The patients included in our study had previously tried multiple migraine preventive treatments that didn’t work for them. These patients are left with limited treatment options to help with the debilitating pain of migraine,” said lead authorParticipants who took the drug experienced “a rapid reduction in migraine days starting as early as month 1, and continuing through the 6 months of the study,” Dr. Detke said.
The treatment group reported an average 4.0 fewer monthly migraine days at 3 months, for example, compared with a baseline of 13.4 days, whereas the placebo group decreased an average 1.29 days from a similar baseline of 13.0 migraine days.
Dr. Detke presented these and other results of the open-label phase of the CONQUER phase 3 trial online as part of the 2020 American Academy of Neurology Science Highlights.
The investigators enrolled 462 adults with episodic or chronic migraine. All participants previously failed two to four migraine treatments because of insufficient efficacy or issues around tolerability or safety. At month 0, 232 people were randomly assigned to galcanezumab and another 230 to placebo injections. At 3 months, 449 participants received a galcanezumab injection as part of the open-label treatment phase.
Participants were an average 48 years old, approximately 86% were women, and 82% were white. At baseline, mean Migraine Specific Quality of Life Role Function Restrictive (MSQ RFR) domain score was 45, “indicating significant impairment in functioning,” Dr. Detke said. At the same time, mean Migraine Disability Assessment Test (MIDAS) total score was 51, “indicating quite severe disability.”
Significant outcomes
The decrease in migraine days at 3 months – 4.0 days with treatment versus 1.29 with placebo – was statistically significant (P < .0001). During the open-label phase, participants who switched from placebo “essentially catch up to where the previously treated people were,” Dr. Detke said. At 6 months, the decrease in average monthly headache days was 5.60 in the initial galcanezumab group versus 5.24 in the initial placebo group.
Significant differences at 3 months versus baseline were observed in participants who received galcanezumab when investigators assessed reduction in 50% or more, 75% or more, or 100% of mean monthly migraine days. No such significant decreases were seen in the placebo group.
Treatment-emergent adverse events reported in the open-label phase included nasopharyngitis in 4.2%, injection site pain in 3.8%, and injection site erythema in 2.7%. Five participants discontinued during the open-label phase because of adverse events.
The results of the study suggest galcanezumab “should be considered as a treatment option for patients who have not had success with previous treatments,” Dr. Detke said.
Multiple strengths of study
“It is encouraging that galcanezumab works in patients who have failed prior reduction strategies,” A. Laine Green, MD, a neurologist at Dartmouth-Hitchcock Medical Center in Lebanon, N.H., said when asked to comment.
This study did not look at patients who have failed more than four previous reduction strategies, he added. “Clinically we see many of these patients. To be fair, no one has studied this group using the monoclonal antibodies.”
Dr. Green noted several strengths of the study. The groups were similar, there were few dropouts during the open-label extension, and there were no unexpected side effects or adverse events. “Those who got placebo caught up to those who received active treatment in the double-blind phase,” he said. “It is also nice to see patient reported outcomes improved as headaches improve. This adds consistency to the results.”
One caveat, Dr. Green noted, is “with open-label extensions, there is always the potential for bias because patients know what treatment they are receiving.”
Overall [the study] gives hope that patients who have failed previous reduction strategies may respond to the newer monoclonal antibodies.”
Aligns with previous findings
The results are “the same as any other long-term extension study of a drug for migraine,” Stephen Silberstein, MD, said when asked to comment. “The longer one takes it, the better you get.”
The research also confirms that if you switch patients taking placebo to an active treatment, they get better, added Dr. Silberstein, director of the Headache Center at Jefferson Health in Philadelphia.
Because they are injections, agents such as galcanezumab, other monoclonal antibodies, and botulinum toxin offer better compliance for headache compared with small molecule medications that require daily oral dosing, he added.
Eli Lilly and Company funded the study. Dr. Holland Detke is a Lilly employee. Dr. Green collaborated with Lilly on a poster for the AHS scientific meeting on a similar topic but did not receive compensation. Up until August 2019, he served as a consultant for Lilly, Novartis, Teva and Allergan. Dr. Green is also a member of the Medscape and American Headache Society Migraine Steering Committee. Dr. Silberstein is a member of the advisory board and consultant for Lilly.
Source: Detke HC et al. AAN 2020. Abstract 43625.
Holland C. Detke, PhD, senior clinical research advisor at Eli Lilly and Company Biomedicines.
“The patients included in our study had previously tried multiple migraine preventive treatments that didn’t work for them. These patients are left with limited treatment options to help with the debilitating pain of migraine,” said lead authorParticipants who took the drug experienced “a rapid reduction in migraine days starting as early as month 1, and continuing through the 6 months of the study,” Dr. Detke said.
The treatment group reported an average 4.0 fewer monthly migraine days at 3 months, for example, compared with a baseline of 13.4 days, whereas the placebo group decreased an average 1.29 days from a similar baseline of 13.0 migraine days.
Dr. Detke presented these and other results of the open-label phase of the CONQUER phase 3 trial online as part of the 2020 American Academy of Neurology Science Highlights.
The investigators enrolled 462 adults with episodic or chronic migraine. All participants previously failed two to four migraine treatments because of insufficient efficacy or issues around tolerability or safety. At month 0, 232 people were randomly assigned to galcanezumab and another 230 to placebo injections. At 3 months, 449 participants received a galcanezumab injection as part of the open-label treatment phase.
Participants were an average 48 years old, approximately 86% were women, and 82% were white. At baseline, mean Migraine Specific Quality of Life Role Function Restrictive (MSQ RFR) domain score was 45, “indicating significant impairment in functioning,” Dr. Detke said. At the same time, mean Migraine Disability Assessment Test (MIDAS) total score was 51, “indicating quite severe disability.”
Significant outcomes
The decrease in migraine days at 3 months – 4.0 days with treatment versus 1.29 with placebo – was statistically significant (P < .0001). During the open-label phase, participants who switched from placebo “essentially catch up to where the previously treated people were,” Dr. Detke said. At 6 months, the decrease in average monthly headache days was 5.60 in the initial galcanezumab group versus 5.24 in the initial placebo group.
Significant differences at 3 months versus baseline were observed in participants who received galcanezumab when investigators assessed reduction in 50% or more, 75% or more, or 100% of mean monthly migraine days. No such significant decreases were seen in the placebo group.
Treatment-emergent adverse events reported in the open-label phase included nasopharyngitis in 4.2%, injection site pain in 3.8%, and injection site erythema in 2.7%. Five participants discontinued during the open-label phase because of adverse events.
The results of the study suggest galcanezumab “should be considered as a treatment option for patients who have not had success with previous treatments,” Dr. Detke said.
Multiple strengths of study
“It is encouraging that galcanezumab works in patients who have failed prior reduction strategies,” A. Laine Green, MD, a neurologist at Dartmouth-Hitchcock Medical Center in Lebanon, N.H., said when asked to comment.
This study did not look at patients who have failed more than four previous reduction strategies, he added. “Clinically we see many of these patients. To be fair, no one has studied this group using the monoclonal antibodies.”
Dr. Green noted several strengths of the study. The groups were similar, there were few dropouts during the open-label extension, and there were no unexpected side effects or adverse events. “Those who got placebo caught up to those who received active treatment in the double-blind phase,” he said. “It is also nice to see patient reported outcomes improved as headaches improve. This adds consistency to the results.”
One caveat, Dr. Green noted, is “with open-label extensions, there is always the potential for bias because patients know what treatment they are receiving.”
Overall [the study] gives hope that patients who have failed previous reduction strategies may respond to the newer monoclonal antibodies.”
Aligns with previous findings
The results are “the same as any other long-term extension study of a drug for migraine,” Stephen Silberstein, MD, said when asked to comment. “The longer one takes it, the better you get.”
The research also confirms that if you switch patients taking placebo to an active treatment, they get better, added Dr. Silberstein, director of the Headache Center at Jefferson Health in Philadelphia.
Because they are injections, agents such as galcanezumab, other monoclonal antibodies, and botulinum toxin offer better compliance for headache compared with small molecule medications that require daily oral dosing, he added.
Eli Lilly and Company funded the study. Dr. Holland Detke is a Lilly employee. Dr. Green collaborated with Lilly on a poster for the AHS scientific meeting on a similar topic but did not receive compensation. Up until August 2019, he served as a consultant for Lilly, Novartis, Teva and Allergan. Dr. Green is also a member of the Medscape and American Headache Society Migraine Steering Committee. Dr. Silberstein is a member of the advisory board and consultant for Lilly.
Source: Detke HC et al. AAN 2020. Abstract 43625.
Holland C. Detke, PhD, senior clinical research advisor at Eli Lilly and Company Biomedicines.
“The patients included in our study had previously tried multiple migraine preventive treatments that didn’t work for them. These patients are left with limited treatment options to help with the debilitating pain of migraine,” said lead authorParticipants who took the drug experienced “a rapid reduction in migraine days starting as early as month 1, and continuing through the 6 months of the study,” Dr. Detke said.
The treatment group reported an average 4.0 fewer monthly migraine days at 3 months, for example, compared with a baseline of 13.4 days, whereas the placebo group decreased an average 1.29 days from a similar baseline of 13.0 migraine days.
Dr. Detke presented these and other results of the open-label phase of the CONQUER phase 3 trial online as part of the 2020 American Academy of Neurology Science Highlights.
The investigators enrolled 462 adults with episodic or chronic migraine. All participants previously failed two to four migraine treatments because of insufficient efficacy or issues around tolerability or safety. At month 0, 232 people were randomly assigned to galcanezumab and another 230 to placebo injections. At 3 months, 449 participants received a galcanezumab injection as part of the open-label treatment phase.
Participants were an average 48 years old, approximately 86% were women, and 82% were white. At baseline, mean Migraine Specific Quality of Life Role Function Restrictive (MSQ RFR) domain score was 45, “indicating significant impairment in functioning,” Dr. Detke said. At the same time, mean Migraine Disability Assessment Test (MIDAS) total score was 51, “indicating quite severe disability.”
Significant outcomes
The decrease in migraine days at 3 months – 4.0 days with treatment versus 1.29 with placebo – was statistically significant (P < .0001). During the open-label phase, participants who switched from placebo “essentially catch up to where the previously treated people were,” Dr. Detke said. At 6 months, the decrease in average monthly headache days was 5.60 in the initial galcanezumab group versus 5.24 in the initial placebo group.
Significant differences at 3 months versus baseline were observed in participants who received galcanezumab when investigators assessed reduction in 50% or more, 75% or more, or 100% of mean monthly migraine days. No such significant decreases were seen in the placebo group.
Treatment-emergent adverse events reported in the open-label phase included nasopharyngitis in 4.2%, injection site pain in 3.8%, and injection site erythema in 2.7%. Five participants discontinued during the open-label phase because of adverse events.
The results of the study suggest galcanezumab “should be considered as a treatment option for patients who have not had success with previous treatments,” Dr. Detke said.
Multiple strengths of study
“It is encouraging that galcanezumab works in patients who have failed prior reduction strategies,” A. Laine Green, MD, a neurologist at Dartmouth-Hitchcock Medical Center in Lebanon, N.H., said when asked to comment.
This study did not look at patients who have failed more than four previous reduction strategies, he added. “Clinically we see many of these patients. To be fair, no one has studied this group using the monoclonal antibodies.”
Dr. Green noted several strengths of the study. The groups were similar, there were few dropouts during the open-label extension, and there were no unexpected side effects or adverse events. “Those who got placebo caught up to those who received active treatment in the double-blind phase,” he said. “It is also nice to see patient reported outcomes improved as headaches improve. This adds consistency to the results.”
One caveat, Dr. Green noted, is “with open-label extensions, there is always the potential for bias because patients know what treatment they are receiving.”
Overall [the study] gives hope that patients who have failed previous reduction strategies may respond to the newer monoclonal antibodies.”
Aligns with previous findings
The results are “the same as any other long-term extension study of a drug for migraine,” Stephen Silberstein, MD, said when asked to comment. “The longer one takes it, the better you get.”
The research also confirms that if you switch patients taking placebo to an active treatment, they get better, added Dr. Silberstein, director of the Headache Center at Jefferson Health in Philadelphia.
Because they are injections, agents such as galcanezumab, other monoclonal antibodies, and botulinum toxin offer better compliance for headache compared with small molecule medications that require daily oral dosing, he added.
Eli Lilly and Company funded the study. Dr. Holland Detke is a Lilly employee. Dr. Green collaborated with Lilly on a poster for the AHS scientific meeting on a similar topic but did not receive compensation. Up until August 2019, he served as a consultant for Lilly, Novartis, Teva and Allergan. Dr. Green is also a member of the Medscape and American Headache Society Migraine Steering Committee. Dr. Silberstein is a member of the advisory board and consultant for Lilly.
Source: Detke HC et al. AAN 2020. Abstract 43625.
FROM AAN 2020