User login
Pruritus in elderly patients: Not a diagnosis
that has appeared seemingly out of the blue.
“They ask: ‘What happened? Why did I get this? Everything was going so well and all of a sudden, I get this itchy rash that keeps me up every night,’ ” Dr. Simpson, professor of dermatology at Oregon Health & Science University, Portland, said during the Revolutionizing Atopic Dermatitis symposium. “Is this elderly atopic dermatitis? Is that a real thing?”
But such patients often lack flexural involvement, which is a telltale sign of atopic dermatitis, “so I really struggle with making the diagnosis of new onset AD in the elderly,” he said, adding that existing medical literature on the topic is variable, with the use of terms that include chronic eczematous eruption of the elderly, chronic “eczematiform” eruption in the elderly, chronic eczematous eruption of the aged, eczematous dermatitis not otherwise specified, dermal hypersensitivity reaction, urticarial dermatitis, and eczematous drug eruptions.
“Pruritus of the elderly is not a diagnosis,” Dr. Simpson said. “That’s just a symptom with a million etiologies. Never put that as your assessment. You could put pruritic eruption or pruritus, but try to look for the cause.”
More than 50% of older patients have xerosis, according to a 2013 clinical review on pruritus in the elderly, by Timothy G. Berger, MD, and colleagues at the University of California, San Francisco, which includes advice on the evaluation and management of pruritus in this group of patients based on whether they have a rash or not. For a patient with no rash, Dr. Simpson said, the workup “includes ruling out xerosis, scabies, and effects of medications that could cause rash such as narcotics and Adderall; as well as a generalized pruritus workup including renal and hepatic function, blood count, and thyroid levels.”
In a separate analysis of pruritic elderly patients by the same authors, five rash-related diagnoses accounted for 75% of cases: eczematous dermatitis, lichen simplex/prurigo nodularis, subacute prurigo, transient acantholytic dermatosis, and neuropathic disorder. “Morphology of pruritus with rash is also important,” Dr. Simpson added. “Is it eczematous? Papular? Prurigo nodularis? This helps lead you in the right direction.”
Some case-control studies have shown that calcium channel blockers could be related to eczema in older patients.
“But there aren’t a lot of studies out there that show that when you stop your calcium channel blocker, your eczema gets better,” Dr. Simpson said. “I’m reluctant to stop medications to try to help their eczema. I haven’t had many good results doing that.”
In an abstract presented during the 2021 annual meeting of the Society of Investigative Dermatology, he and his colleagues prospectively reviewed 89 patients over age 65 who had been referred with new-onset eczema. Of these, 34 underwent drug cessation trials for 1-3 months. “Not one patient improved when they stopped medications,” Dr. Simpson said, but “multiple patients were hospitalized for discontinuing their cardiac and antihypertensive medications.” While this was a biased sample of patients coming to him with chronic eczema, “in my experience, if you have chronic eczema in an older patient, stopping medications is likely not going to help.”
Other diagnostic tips he offered included asking patients what skin products they’re using, considering patch testing, and considering biopsy to rule out cutaneous T-cell lymphoma or bullous pemphigoid. “If you’re not sure there’s a rash, you might need to do a pruritus workup,” he said. If an eczematous rash is present and no other cause is found, try treating it like AD, he added.
Dr. Simpson reported serving as an investigator for and consultant to numerous pharmaceutical companies.
that has appeared seemingly out of the blue.
“They ask: ‘What happened? Why did I get this? Everything was going so well and all of a sudden, I get this itchy rash that keeps me up every night,’ ” Dr. Simpson, professor of dermatology at Oregon Health & Science University, Portland, said during the Revolutionizing Atopic Dermatitis symposium. “Is this elderly atopic dermatitis? Is that a real thing?”
But such patients often lack flexural involvement, which is a telltale sign of atopic dermatitis, “so I really struggle with making the diagnosis of new onset AD in the elderly,” he said, adding that existing medical literature on the topic is variable, with the use of terms that include chronic eczematous eruption of the elderly, chronic “eczematiform” eruption in the elderly, chronic eczematous eruption of the aged, eczematous dermatitis not otherwise specified, dermal hypersensitivity reaction, urticarial dermatitis, and eczematous drug eruptions.
“Pruritus of the elderly is not a diagnosis,” Dr. Simpson said. “That’s just a symptom with a million etiologies. Never put that as your assessment. You could put pruritic eruption or pruritus, but try to look for the cause.”
More than 50% of older patients have xerosis, according to a 2013 clinical review on pruritus in the elderly, by Timothy G. Berger, MD, and colleagues at the University of California, San Francisco, which includes advice on the evaluation and management of pruritus in this group of patients based on whether they have a rash or not. For a patient with no rash, Dr. Simpson said, the workup “includes ruling out xerosis, scabies, and effects of medications that could cause rash such as narcotics and Adderall; as well as a generalized pruritus workup including renal and hepatic function, blood count, and thyroid levels.”
In a separate analysis of pruritic elderly patients by the same authors, five rash-related diagnoses accounted for 75% of cases: eczematous dermatitis, lichen simplex/prurigo nodularis, subacute prurigo, transient acantholytic dermatosis, and neuropathic disorder. “Morphology of pruritus with rash is also important,” Dr. Simpson added. “Is it eczematous? Papular? Prurigo nodularis? This helps lead you in the right direction.”
Some case-control studies have shown that calcium channel blockers could be related to eczema in older patients.
“But there aren’t a lot of studies out there that show that when you stop your calcium channel blocker, your eczema gets better,” Dr. Simpson said. “I’m reluctant to stop medications to try to help their eczema. I haven’t had many good results doing that.”
In an abstract presented during the 2021 annual meeting of the Society of Investigative Dermatology, he and his colleagues prospectively reviewed 89 patients over age 65 who had been referred with new-onset eczema. Of these, 34 underwent drug cessation trials for 1-3 months. “Not one patient improved when they stopped medications,” Dr. Simpson said, but “multiple patients were hospitalized for discontinuing their cardiac and antihypertensive medications.” While this was a biased sample of patients coming to him with chronic eczema, “in my experience, if you have chronic eczema in an older patient, stopping medications is likely not going to help.”
Other diagnostic tips he offered included asking patients what skin products they’re using, considering patch testing, and considering biopsy to rule out cutaneous T-cell lymphoma or bullous pemphigoid. “If you’re not sure there’s a rash, you might need to do a pruritus workup,” he said. If an eczematous rash is present and no other cause is found, try treating it like AD, he added.
Dr. Simpson reported serving as an investigator for and consultant to numerous pharmaceutical companies.
that has appeared seemingly out of the blue.
“They ask: ‘What happened? Why did I get this? Everything was going so well and all of a sudden, I get this itchy rash that keeps me up every night,’ ” Dr. Simpson, professor of dermatology at Oregon Health & Science University, Portland, said during the Revolutionizing Atopic Dermatitis symposium. “Is this elderly atopic dermatitis? Is that a real thing?”
But such patients often lack flexural involvement, which is a telltale sign of atopic dermatitis, “so I really struggle with making the diagnosis of new onset AD in the elderly,” he said, adding that existing medical literature on the topic is variable, with the use of terms that include chronic eczematous eruption of the elderly, chronic “eczematiform” eruption in the elderly, chronic eczematous eruption of the aged, eczematous dermatitis not otherwise specified, dermal hypersensitivity reaction, urticarial dermatitis, and eczematous drug eruptions.
“Pruritus of the elderly is not a diagnosis,” Dr. Simpson said. “That’s just a symptom with a million etiologies. Never put that as your assessment. You could put pruritic eruption or pruritus, but try to look for the cause.”
More than 50% of older patients have xerosis, according to a 2013 clinical review on pruritus in the elderly, by Timothy G. Berger, MD, and colleagues at the University of California, San Francisco, which includes advice on the evaluation and management of pruritus in this group of patients based on whether they have a rash or not. For a patient with no rash, Dr. Simpson said, the workup “includes ruling out xerosis, scabies, and effects of medications that could cause rash such as narcotics and Adderall; as well as a generalized pruritus workup including renal and hepatic function, blood count, and thyroid levels.”
In a separate analysis of pruritic elderly patients by the same authors, five rash-related diagnoses accounted for 75% of cases: eczematous dermatitis, lichen simplex/prurigo nodularis, subacute prurigo, transient acantholytic dermatosis, and neuropathic disorder. “Morphology of pruritus with rash is also important,” Dr. Simpson added. “Is it eczematous? Papular? Prurigo nodularis? This helps lead you in the right direction.”
Some case-control studies have shown that calcium channel blockers could be related to eczema in older patients.
“But there aren’t a lot of studies out there that show that when you stop your calcium channel blocker, your eczema gets better,” Dr. Simpson said. “I’m reluctant to stop medications to try to help their eczema. I haven’t had many good results doing that.”
In an abstract presented during the 2021 annual meeting of the Society of Investigative Dermatology, he and his colleagues prospectively reviewed 89 patients over age 65 who had been referred with new-onset eczema. Of these, 34 underwent drug cessation trials for 1-3 months. “Not one patient improved when they stopped medications,” Dr. Simpson said, but “multiple patients were hospitalized for discontinuing their cardiac and antihypertensive medications.” While this was a biased sample of patients coming to him with chronic eczema, “in my experience, if you have chronic eczema in an older patient, stopping medications is likely not going to help.”
Other diagnostic tips he offered included asking patients what skin products they’re using, considering patch testing, and considering biopsy to rule out cutaneous T-cell lymphoma or bullous pemphigoid. “If you’re not sure there’s a rash, you might need to do a pruritus workup,” he said. If an eczematous rash is present and no other cause is found, try treating it like AD, he added.
Dr. Simpson reported serving as an investigator for and consultant to numerous pharmaceutical companies.
FROM REVOLUTIONIZING AD 2021
Moderate-vigorous stepping seen to lower diabetes risk in older women
More steps per day, particularly at a higher intensity, may reduce the risk of type 2 diabetes in older women, based on a prospective cohort study.
The link between daily stepping and diabetes was not significantly modified by body mass index (BMI) or other common diabetes risk factors, suggesting that the relationship is highly generalizable, lead author Alexis C. Garduno, MPH, a PhD student at the University of California, San Diego, and colleagues reported.
“Physical activity is a key modifiable behavior for diabetes prevention and management,” the investigators wrote in Diabetes Care. “Many prevention studies have demonstrated that regular physical activity, along with improved diet, reduces the risk of diabetes in adults. ... To the best of our knowledge, there are few studies examining the association between objectively measured steps per day and incident diabetes in a community-based setting.”
To this end, the investigators analyzed data from 4,838 older, community-living women in the Objective Physical Activity and Cardiovascular Health Study. Upon enrollment, women were without physician-diagnosed diabetes and had a mean age of 78.9 years. For 1 week, participants wore ActiGraph GT3X+ accelerometers to measure steps per day, as well as step intensity, graded as light or moderate to vigorous.
The relationship between daily activity and diabetes was analyzed using three multivariate models: The first included race/ethnicity and age; the second also included family history of diabetes, education, physical functioning, self-rated health, smoking status, and alcohol consumption; and the third added BMI, “a potential mediator in the causal pathway between steps per day and diabetes,” the investigators wrote.
Participants took an average of 3,729 steps per day, divided roughly evenly between light and moderate to vigorous intensity.
After a median follow-up of 5.7 years, 8.1% of women developed diabetes. The least-adjusted model showed a 14% reduction in diabetes risk per 2,000 steps (hazard ratio, 0.86; 95% confidence interval, 0.80-0.92; P = .007), whereas the second model, adjusting for more confounding variables, showed a 12% reduction in diabetes risk per 2,000 steps (HR, 0.88; 95% CI, 0.78-1.00; P = .045).
The final model, which added BMI, showed a 10% reduction in risk, although it didn’t reach statistical significance (HR, 0.90; 95% CI, 0.80-1.02; P = .11). Furthermore, accelerated failure time models suggested that BMI did not significantly impact the link between steps and diabetes (proportion mediated, 17.7%;95% CI, –55.0 to 142.0; P = .09). Further analyses also found no significant interactions between BMI or other possible confounders.
“The steps per day–diabetes association was not modified by age, race/ethnicity, BMI, physical functioning, or family history of diabetes, which supports the generalizability of these findings to community-living older women,” the investigators wrote.
Increased stepping intensity also appeared to lower risk of diabetes. After adjusting for confounding variables, light stepping was not linked to reduced risk (HR, 0.97; 95% CI, 0.73-1.29; P = .83), whereas moderate to vigorous stepping reduced risk by 14% per 2,000 steps (HR, 0.86; 95% CI, 0.74-1.00; P = .04).
“This study provides evidence supporting an association between steps per day and lower incident diabetes,” the investigators concluded. “While further work is needed to identify whether there is a minimum number of steps per day that results in a clinically significant reduction of diabetes and to evaluate the role that step intensity plays in diabetes etiology for older adults, findings from this study suggest that moderate-vigorous–intensity steps may be more important than lower-intensity steps with respect to incident diabetes. Steps per day–based interventions are needed to advance diabetes prevention science in older adults.”
The study was supported by the National Institute on Aging, the National Institute of Diabetes and Digestive and Kidney Diseases, the Tobacco-Related Disease Research Program, and others. The investigators had no potential conflicts of interest.
More steps per day, particularly at a higher intensity, may reduce the risk of type 2 diabetes in older women, based on a prospective cohort study.
The link between daily stepping and diabetes was not significantly modified by body mass index (BMI) or other common diabetes risk factors, suggesting that the relationship is highly generalizable, lead author Alexis C. Garduno, MPH, a PhD student at the University of California, San Diego, and colleagues reported.
“Physical activity is a key modifiable behavior for diabetes prevention and management,” the investigators wrote in Diabetes Care. “Many prevention studies have demonstrated that regular physical activity, along with improved diet, reduces the risk of diabetes in adults. ... To the best of our knowledge, there are few studies examining the association between objectively measured steps per day and incident diabetes in a community-based setting.”
To this end, the investigators analyzed data from 4,838 older, community-living women in the Objective Physical Activity and Cardiovascular Health Study. Upon enrollment, women were without physician-diagnosed diabetes and had a mean age of 78.9 years. For 1 week, participants wore ActiGraph GT3X+ accelerometers to measure steps per day, as well as step intensity, graded as light or moderate to vigorous.
The relationship between daily activity and diabetes was analyzed using three multivariate models: The first included race/ethnicity and age; the second also included family history of diabetes, education, physical functioning, self-rated health, smoking status, and alcohol consumption; and the third added BMI, “a potential mediator in the causal pathway between steps per day and diabetes,” the investigators wrote.
Participants took an average of 3,729 steps per day, divided roughly evenly between light and moderate to vigorous intensity.
After a median follow-up of 5.7 years, 8.1% of women developed diabetes. The least-adjusted model showed a 14% reduction in diabetes risk per 2,000 steps (hazard ratio, 0.86; 95% confidence interval, 0.80-0.92; P = .007), whereas the second model, adjusting for more confounding variables, showed a 12% reduction in diabetes risk per 2,000 steps (HR, 0.88; 95% CI, 0.78-1.00; P = .045).
The final model, which added BMI, showed a 10% reduction in risk, although it didn’t reach statistical significance (HR, 0.90; 95% CI, 0.80-1.02; P = .11). Furthermore, accelerated failure time models suggested that BMI did not significantly impact the link between steps and diabetes (proportion mediated, 17.7%;95% CI, –55.0 to 142.0; P = .09). Further analyses also found no significant interactions between BMI or other possible confounders.
“The steps per day–diabetes association was not modified by age, race/ethnicity, BMI, physical functioning, or family history of diabetes, which supports the generalizability of these findings to community-living older women,” the investigators wrote.
Increased stepping intensity also appeared to lower risk of diabetes. After adjusting for confounding variables, light stepping was not linked to reduced risk (HR, 0.97; 95% CI, 0.73-1.29; P = .83), whereas moderate to vigorous stepping reduced risk by 14% per 2,000 steps (HR, 0.86; 95% CI, 0.74-1.00; P = .04).
“This study provides evidence supporting an association between steps per day and lower incident diabetes,” the investigators concluded. “While further work is needed to identify whether there is a minimum number of steps per day that results in a clinically significant reduction of diabetes and to evaluate the role that step intensity plays in diabetes etiology for older adults, findings from this study suggest that moderate-vigorous–intensity steps may be more important than lower-intensity steps with respect to incident diabetes. Steps per day–based interventions are needed to advance diabetes prevention science in older adults.”
The study was supported by the National Institute on Aging, the National Institute of Diabetes and Digestive and Kidney Diseases, the Tobacco-Related Disease Research Program, and others. The investigators had no potential conflicts of interest.
More steps per day, particularly at a higher intensity, may reduce the risk of type 2 diabetes in older women, based on a prospective cohort study.
The link between daily stepping and diabetes was not significantly modified by body mass index (BMI) or other common diabetes risk factors, suggesting that the relationship is highly generalizable, lead author Alexis C. Garduno, MPH, a PhD student at the University of California, San Diego, and colleagues reported.
“Physical activity is a key modifiable behavior for diabetes prevention and management,” the investigators wrote in Diabetes Care. “Many prevention studies have demonstrated that regular physical activity, along with improved diet, reduces the risk of diabetes in adults. ... To the best of our knowledge, there are few studies examining the association between objectively measured steps per day and incident diabetes in a community-based setting.”
To this end, the investigators analyzed data from 4,838 older, community-living women in the Objective Physical Activity and Cardiovascular Health Study. Upon enrollment, women were without physician-diagnosed diabetes and had a mean age of 78.9 years. For 1 week, participants wore ActiGraph GT3X+ accelerometers to measure steps per day, as well as step intensity, graded as light or moderate to vigorous.
The relationship between daily activity and diabetes was analyzed using three multivariate models: The first included race/ethnicity and age; the second also included family history of diabetes, education, physical functioning, self-rated health, smoking status, and alcohol consumption; and the third added BMI, “a potential mediator in the causal pathway between steps per day and diabetes,” the investigators wrote.
Participants took an average of 3,729 steps per day, divided roughly evenly between light and moderate to vigorous intensity.
After a median follow-up of 5.7 years, 8.1% of women developed diabetes. The least-adjusted model showed a 14% reduction in diabetes risk per 2,000 steps (hazard ratio, 0.86; 95% confidence interval, 0.80-0.92; P = .007), whereas the second model, adjusting for more confounding variables, showed a 12% reduction in diabetes risk per 2,000 steps (HR, 0.88; 95% CI, 0.78-1.00; P = .045).
The final model, which added BMI, showed a 10% reduction in risk, although it didn’t reach statistical significance (HR, 0.90; 95% CI, 0.80-1.02; P = .11). Furthermore, accelerated failure time models suggested that BMI did not significantly impact the link between steps and diabetes (proportion mediated, 17.7%;95% CI, –55.0 to 142.0; P = .09). Further analyses also found no significant interactions between BMI or other possible confounders.
“The steps per day–diabetes association was not modified by age, race/ethnicity, BMI, physical functioning, or family history of diabetes, which supports the generalizability of these findings to community-living older women,” the investigators wrote.
Increased stepping intensity also appeared to lower risk of diabetes. After adjusting for confounding variables, light stepping was not linked to reduced risk (HR, 0.97; 95% CI, 0.73-1.29; P = .83), whereas moderate to vigorous stepping reduced risk by 14% per 2,000 steps (HR, 0.86; 95% CI, 0.74-1.00; P = .04).
“This study provides evidence supporting an association between steps per day and lower incident diabetes,” the investigators concluded. “While further work is needed to identify whether there is a minimum number of steps per day that results in a clinically significant reduction of diabetes and to evaluate the role that step intensity plays in diabetes etiology for older adults, findings from this study suggest that moderate-vigorous–intensity steps may be more important than lower-intensity steps with respect to incident diabetes. Steps per day–based interventions are needed to advance diabetes prevention science in older adults.”
The study was supported by the National Institute on Aging, the National Institute of Diabetes and Digestive and Kidney Diseases, the Tobacco-Related Disease Research Program, and others. The investigators had no potential conflicts of interest.
FROM DIABETES CARE
Easing dementia caregiver burden, addressing interpersonal violence
The number of people with dementia globally is expected to reach 74.7 million by 2030 and 131.5 million by 2050.1 Because dementia is progressive, many patients will exhibit severe symptoms termed behavioral crises. Deteriorating interpersonal conduct and escalating antisocial acts result in an acquired sociopathy.2 Increasing cognitive impairment causes these patients to misunderstand intimate care and perceive it as a threat, often resulting in outbursts of violence against their caregivers.3
Available studies (TABLE4-17) make evident the incidence of interpersonal violence experienced by caregivers secondary to aggressive acts by patients with dementia. This violence ranges from verbal abuse, including racial slurs, to physical abuse—sometimes resulting in significant physical injury. Aggressive behavior by patients with dementia, resulting in violence towards their caregivers or partners, stems from progressive cognitive decline, which can make optimal care difficult. Such episodes may also impair the psychological and physical well-being of caregivers, increasing their risk of depression, anxiety, and even post-traumatic stress disorder (PTSD).18 The extent of the impact is also determined by the interpretation of the abuse by the caregivers themselves. One study suggested that the perception of aggressive or violent behavior as “normal” by a caregiver reduced the overall negative effect of the interactions.7Our review emphasizes the unintended burden that can fall to caregivers of patients with dementia. We also address the role of primary care providers (PCPs) in identifying these instances of violence and intervening appropriately by providing safety strategies, education, resources, and support.
CASE
A 67-year-old man with a medical history of PTSD with depression, type 2 diabetes, alcohol use disorder/dependence, hypertension, and obstructive sleep apnea was brought to his PCP by his wife. She said he had recently been unable to keep appointment times, pay bills, or take his usual medications, venlafaxine and bupropion. She also said his PTSD symptoms had worsened. He was sleeping 12 to 14 hours per day and was increasingly irritable. The patient denied any concerns or changes in his behavior.
The PCP administered a Saint Louis University Mental Status (SLUMS) examination to screen for cognitive impairment.19 The patient scored 14/30 (less than 20 is indicative of dementia). He was unable to complete a simple math problem, recall any items from a list of 5, count in reverse, draw a clock correctly, or recall a full story. Throughout the exam, the patient demonstrated minimal effort and was often only able to complete a task after further prompting by the examiner.
A computed tomography scan of the head revealed no signs of hemorrhage or damage. Thyroid-stimulating hormone levels and vitamin B12 levels were normal. A rapid plasma reagin test result was negative. The patient was given a diagnosis of Alzheimer disease. Donepezil was added to the patient’s medications, starting at 5 mg and then increased to 10 mg. His wife began to assist him with his tasks of daily living. His mood improved, and his wife noted he began to remember his appointments and take his medications with assistance.
However, the patient’s irritability continued to escalate. He grew paranoid and accused his wife of mismanaging their money. This pattern steadily worsened over the course of 6 months. The situation escalated until one day the patient’s wife called a mental health hotline reporting that her husband was holding her hostage and threatening to kill her with a gun. He told her, “I can do something to you, and they won’t even find a fingernail. It doesn’t have to be with a gun either.” She was counseled to try to stay calm to avoid aggravating the situation and to go to a safe place and stay there until help arrived.
His memory had worsened to the point that he could not recall any events from the previous 2 years. He was paranoid about anyone entering his home and would not allow his deteriorating roof to be repaired or his yard to be maintained. He did not shower for weeks at a time. He slept holding a rifle and accused his wife of embezzlement.
Continue to: The patient was evaluated...
The patient was evaluated by another specialist, who assessed his SLUMS score to be 18/30. He increased the patient’s donepezil dose, initiated a bupropion taper, and added sertraline to the regimen. The PCP spoke to the patient’s wife regarding options for her safety including leaving the home, hiding firearms, and calling the police in cases of interpersonal violence. The wife said she did not want to pursue these options. She expressed worry that he might be harmed if he was uncooperative with the police and said there was no one except her to take care of him.
Caregivers struggle to care for their loved ones
Instances of personal violence lead to shock, astonishment, heartbreak, and fear. Anticipation of a recurrence of violence causes many partners and caregivers to feel exhausted, because there is minimal hope for any chance of improvement. There are a few exceptions, however, as our case will show. In addition to emotional exhaustion, there is also a never-ending sense of self-doubt, leading many caregivers to question their ability to handle their family member.20,21 Over time, this leads to caregiver burnout, leaving them unable to understand their family member’s aggression. The sudden loss of caregiver control in dealing with the patient may also result in the family member exhibiting behavioral changes reflecting emotional trauma. For caregivers who do not live with the patient, they may choose to make fewer or shorter visits—or not visit at all—because they fear being abused.7,22
Caregivers of patients with dementia often feel helpless and powerless once abrupt and drastic changes in personality lead to some form of interpersonal violence. Additionally, caregivers with a poor health status are more likely to have lower physical function and experience greater caregiving stress overall.23 Other factors increasing stress are longer years of caregiving and the severity of a patient’s dementia and functional impairment.23
Interventions to reduce caregiver burden
Many studies have assessed the role of different interventions to reduce caregiver burden, such as teaching them problem-solving skills, increasing their knowledge of dementia, recommending social resources, providing emotional support, changing caregiver perceptions of the care situation, introducing coping strategies, relying on strengths and experiences in caregiving, help-seeking, and engaging in activity programs.24-28 For Hispanic caregivers, a structured and self-paced online telenovela format has been effective in improving care and relieving caregiver stress.29 Online positive emotion regulators helped in significantly improving quality of life and physical health in the caregivers.30 In this last intervention, caregivers had 6 online sessions with a facilitator who taught them emotional regulation skills that included: noticing positive events, capitalizing on them, and feeling gratitude; practicing mindfulness; doing a positive reappraisal; acknowledging personal strengths and setting attainable goals; and performing acts of kindness. Empowerment programs have also shown significant improvement in the well-being of caregivers.31
Caregivers may reject support.
Continue to: These practical tips can help
These practical tips can help
Based on our review of the literature, we recommend offering the following supports to caregivers:
- Counsel caregivers early on in a patient’s dementia that behavior changes are likely and may be unpredictable. Explain that dementia can involve changes to personality and behavior as well as memory difficulties.33,34
- Describe resources for support, such as day programs for senior adults, insurance coverage for caregiver respite programs, and the Alzheimer’s Association (www.alz.org/). Encourage caregivers to seek general medical and mental health care for themselves. Caregivers should have opportunities and support to discuss their experiences and to be appropriately trained for the challenge of caring for a family member with dementia.35
- Encourage disclosure about abrupt changes in the patient’s behavior. This invites families to discuss issues with you and may make them more comfortable with such conversations.
- Involve ancillary services (eg, social worker) to plan for a higher level of care well in advance of it becoming necessary.
- Discuss safety strategies for the caregiver, including when it is appropriate to alter a patient’s set routines such as bedtimes and mealtimes.33,34
- Discuss when and how to involve law enforcement, if necessary.33,34 Emphasize the importance of removing firearms from the home as a safety measure. Although federal laws do not explicitly prohibit possession of arms by patients with neurologic damage, a few states mention “organic brain syndrome” or “dementia” as conditions prohibiting use or possession of firearms.36
- Suggest, as feasible, nonpharmacologic aids for the patient such as massage therapy, animal-assisted therapy, personalized interventions, music therapy, and light therapy.37 Prescribe medications to the patient to aid in behavior modification when appropriate.
- Screen caregivers and family members for signs of interpersonal violence. Take notice of changes in caregiver behavior or irregularity in attending follow-up appointments.
CASE
Over the next month, the patient’s symptoms further deteriorated. His PCP recommended hospitalization, but the patient and his wife declined. Magnetic resonance imaging of the patient’s brain revealed severe confluent and patchy regions of white matter and T2 signal hyperintensity, consistent with chronic microvascular ischemic disease. An old, small, left parietal lobe infarct was also noted.
One month later, the patient presented to the emergency department. His symptoms were largely unchanged, but his wife indicated that she could no longer live at home due to burnout. The patient’s medications were adjusted, but he was not admitted for inpatient care. His wife said they needed help at home, but the patient opposed the idea any time that it was mentioned.
A few weeks later, the patient presented for outpatient follow-up. He was delusional, believing that the government was compelling citizens to take sertraline in order to harm their mental health. He had also begun viewing online pornography in front of his wife and attempting to remove all of his money from the bank. He was prescribed aripiprazole 15 mg, and his symptoms began to improve. Soon after, however, he threatened to kill his grandson, then took all his Lasix pills (a 7-day supply) simultaneously. The patient denied that this was a suicide attempt.
Over the course of the next month, the patient began to report hearing voices. A neuropsychological evaluation confirmed a diagnosis of dementia with psychiatric symptoms due to neurologic injury. The patient was referred to a geriatric psychiatrist and continued to be managed medically. He was assigned a multidisciplinary team comprising palliative care, social work, and care management to assist in his care and provide support to the family. His behavior improved.
Continue to: At the time of this publication...
At the time of this publication, the patient’s irritability and paranoia had subsided and he had made no further threats to his family. He has allowed a home health aide into the house and has agreed to have his roof repaired. His wife still lives with him and assists him with activities of daily living.
Interprofessional teams are key
Caregiver burnout increases the risk of patient neglect or abuse, as individuals who have been the targets of aggressive behavior are more likely to leave demented patients unattended.8,16,23 Although tools are available to screen caregivers for depression and burnout, an important step forward would be to develop an interprofessional team to aid in identifying and closely following high-risk patient–caregiver groups. This continual and varied assessment of psychosocial stressors could help prevent the development of violent interactions. These teams would allow integration with the primary health care system by frequent and effective shared communication of knowledge, development of goals, and shared decision-making.38 Setting expectations, providing support, and discussing safety strategies can improve the health and welfare of caregivers and patients with dementia alike.
CORRESPONDENCE
Abu Baker Sheikh, MD, MSC 10-5550, 1 University of New Mexico, Albuquerque, NM 87131; [email protected].
1. Wu YT, Beiser AS, Breteler MMB, et al. The changing prevalence and incidence of dementia over time - current evidence. Nat Rev Neurol. 2017;13:327-339.
2. Cipriani G, Borin G, Vedovello M, et al. Sociopathic behavior and dementia. Acta Neurol Belg. 2013;113:111-115.
3. Cipriani G, Lucetti C, Danti S, et al. Violent and criminal manifestations in dementia patients. Geriatr Gerontol Int. 2016;16:541-549.
4. Skovdahl K, Kihlgren AL, Kihlgren M. Different attitudes when handling aggressive behaviour in dementia—narratives from two caregiver groups. Aging Ment Health. 2003;7:277-286.
5. Kristiansen L, Hellzén O, Asplund K. Swedish assistant nurses’ experiences of job satisfaction when caring for persons suffering from dementia and behavioural disturbances. An interview study. Int J Qualitat Stud Health Well-being. 2006;1:245-256.
6. Wharton TC, Ford BK. What is known about dementia care recipient violence and aggression against caregivers? J Gerontol Soc Work. 2014;57:460-477.
7. Ostaszkiewicz J, Lakhan P, O’Connell B, et al. Ongoing challenges responding to behavioural and psychological symptoms of dementia. Int Nurs Rev. 2015;62:506-516.
8. Kim J, De Bellis AM, Xiao LD. The experience of paid family-care workers of people with dementia in South Korea. Asian Nurs Res (Korean Soc Nurs Sci). 2018;12:34-41.
9. Band-Winterstein T, Avieli H. Women coping with a partner’s dementia-related violence: a qualitative study. J Nurs Scholarsh. 2019; 51:368-379.
10. Munkejord MC, Stefansdottir OA, Sveinbjarnardottir EK. Who cares for the carer? The suffering, struggles and unmet needs of older women caring for husbands living with cognitive decline. Int Pract Devel J. 2020;10:1-11.
11. Seidel D, Thyrian JR. Burden of caring for people with dementia - comparing family caregivers and professional caregivers. A descriptive study. J Multidiscip Healthc. 2019;12:655-663.
12. Tang W, Friedman DB, Kannaley K, et al. Experiences of caregivers by care recipient’s health condition: a study of caregivers for Alzheimer’s disease and related dementias versus other chronic conditions. Geriatr Nurs. 2019;40:181-184.
13. Benbow SM, Bhattacharyya S, Kingston P. Older adults and violence: an analysis of domestic homicide reviews in England involving adults over 60 years of age. Ageing Soc. 2018;39:1097-1121.
14. Herron RV, Wrathall MA. Putting responsive behaviours in place: examining how formal and informal carers understand the actions of people with dementia. Soc Sci Med. 2018;204:9-15.
15. Herron RV, Rosenberg MW. Responding to aggression and reactive behaviours in the home. Dementia (London). 2019;18:1328-1340.
16. Spencer D, Funk LM, Herron RV, et al. Fear, defensive strategies and caring for cognitively impaired family members. J Gerontol Soc Work. 2019;62:67-85.
17. Skovdahl K, Kihlgren AL, Kihlgren M. Dementia and aggressiveness: stimulated recall interviews with caregivers after video-recorded interactions. J Clin Nurs. 2004;13:515-525.
18. Needham I, Abderhalden C, Halfens RJ, et al. Non-somatic effects of patient aggression on nurses: a systematic review. J Adv Nurs. 2005;49:283-296.
19. Tariq SH, Tumosa N, Chibnall JT, et al. The Saint Louis University Mental Status (SLUMS) Examination for detecting mild cognitive impairment and dementia is more sensitive than the Mini-Mental Status Examination (MMSE) - a pilot study. Am J Geriatr Psych. 2006;14:900-910.
20. Janzen S, Zecevic AA, Kloseck M, et al. Managing agitation using nonpharmacological interventions for seniors with dementia. Am J Alzheimers Dis Other Demen. 2013;28:524-532.
21. Zeller A, Dassen T, Kok G, et al. Nursing home caregivers’ explanations for and coping strategies with residents’ aggression: a qualitative study. J Clin Nurs. 2011;20:2469-2478.
22. Alzheimer’s Society. Fix dementia care: homecare. Accessed December 28, 2021. https://www.alzheimers.org.uk/sites/default/files/migrate/downloads/fix_dementia_care_homecare_report.pdf
23. von Känel R, Mausbach BT, Dimsdale JE, et al. Refining caregiver vulnerability for clinical practice: determinants of self-rated health in spousal dementia caregivers. BMC Geriatr. 2019;19:18.
24. Chen HM, Huang MF, Yeh YC, et al. Effectiveness of coping strategies intervention on caregiver burden among caregivers of elderly patients with dementia. Psychogeriatrics. 2015; 15:20-25.
25. Wawrziczny E, Larochette C, Papo D, et al. A customized intervention for dementia caregivers: a quasi-experimental design. J Aging Health. 2019;31:1172-1195.
26. Gitlin LN, Piersol CV, Hodgson N, et al. Reducing neuropsychiatric symptoms in persons with dementia and associated burden in family caregivers using tailored activities: Design and methods of a randomized clinical trial. Contemp Clin Trials. 2016;49:92-102.
27. de Oliveira AM, Radanovic M, Homem de Mello PC, et al. An intervention to reduce neuropsychiatric symptoms and caregiver burden in dementia: preliminary results from a randomized trial of the tailored activity program-outpatient version. Int J Geriatr Psychiatry. 2019;34:1301-1307.
28. Livingston G, Barber J, Rapaport P, et al. Clinical effectiveness of a manual based coping strategy programme (START, STrAtegies for RelaTives) in promoting the mental health of carers of family members with dementia: pragmatic randomised controlled trial. BMJ. 2013;347:f6276.
29. Kajiyama B, Fernandez G, Carter EA, et al. Helping Hispanic dementia caregivers cope with stress using technology-based resources. Clin Gerontol. 2018;41:209-216.
30. Moskowitz JT, Cheung EO, Snowberg KE, et al. Randomized controlled trial of a facilitated online positive emotion regulation intervention for dementia caregivers. Health Psychol. 2019;38:391-402.
31. Yoon HK, Kim GS. An empowerment program for family caregivers of people with dementia. Public Health Nurs. 2020;37:222-233.
32. Zwingmann I, Dreier-Wolfgramm A, Esser A, et al. Why do family dementia caregivers reject caregiver support services? Analyzing types of rejection and associated health-impairments in a cluster-randomized controlled intervention trial. BMC Health Serv Res. 2020;20:121.
33. Nybakken S, Strandås M, Bondas T. Caregivers’ perceptions of aggressive behaviour in nursing home residents living with dementia: A meta-ethnography. J Adv Nurs. 2018;74:2713-2726.
34. Nakaishi L, Moss H, Weinstein M, et al. Exploring workplace violence among home care workers in a consumer-driven home health care program. Workplace Health Saf. 2013;61:441-450.
35. Medical Advisory Secretariat. Caregiver- and patient-directed interventions for dementia: an evidence-based analysis. Ont Health Technol Assess Ser. 2008;8:1-98.
36. Betz ME, McCourt AD, Vernick JS, et al. Firearms and dementia: clinical considerations. Ann Intern Med. 2018;169:47-49.
37. Leng M, Zhao Y, Wang Z. Comparative efficacy of non-pharmacological interventions on agitation in people with dementia: a systematic review and Bayesian network meta-analysis. Int J Nurs Stud. 2020;102:103489.
38. Morgan S, Pullon S, McKinlay E. Observation of interprofessional collaborative practice in primary care teams: an integrative literature review. Int J Nurs Stud. 2015;52:1217-1230.
The number of people with dementia globally is expected to reach 74.7 million by 2030 and 131.5 million by 2050.1 Because dementia is progressive, many patients will exhibit severe symptoms termed behavioral crises. Deteriorating interpersonal conduct and escalating antisocial acts result in an acquired sociopathy.2 Increasing cognitive impairment causes these patients to misunderstand intimate care and perceive it as a threat, often resulting in outbursts of violence against their caregivers.3
Available studies (TABLE4-17) make evident the incidence of interpersonal violence experienced by caregivers secondary to aggressive acts by patients with dementia. This violence ranges from verbal abuse, including racial slurs, to physical abuse—sometimes resulting in significant physical injury. Aggressive behavior by patients with dementia, resulting in violence towards their caregivers or partners, stems from progressive cognitive decline, which can make optimal care difficult. Such episodes may also impair the psychological and physical well-being of caregivers, increasing their risk of depression, anxiety, and even post-traumatic stress disorder (PTSD).18 The extent of the impact is also determined by the interpretation of the abuse by the caregivers themselves. One study suggested that the perception of aggressive or violent behavior as “normal” by a caregiver reduced the overall negative effect of the interactions.7Our review emphasizes the unintended burden that can fall to caregivers of patients with dementia. We also address the role of primary care providers (PCPs) in identifying these instances of violence and intervening appropriately by providing safety strategies, education, resources, and support.
CASE
A 67-year-old man with a medical history of PTSD with depression, type 2 diabetes, alcohol use disorder/dependence, hypertension, and obstructive sleep apnea was brought to his PCP by his wife. She said he had recently been unable to keep appointment times, pay bills, or take his usual medications, venlafaxine and bupropion. She also said his PTSD symptoms had worsened. He was sleeping 12 to 14 hours per day and was increasingly irritable. The patient denied any concerns or changes in his behavior.
The PCP administered a Saint Louis University Mental Status (SLUMS) examination to screen for cognitive impairment.19 The patient scored 14/30 (less than 20 is indicative of dementia). He was unable to complete a simple math problem, recall any items from a list of 5, count in reverse, draw a clock correctly, or recall a full story. Throughout the exam, the patient demonstrated minimal effort and was often only able to complete a task after further prompting by the examiner.
A computed tomography scan of the head revealed no signs of hemorrhage or damage. Thyroid-stimulating hormone levels and vitamin B12 levels were normal. A rapid plasma reagin test result was negative. The patient was given a diagnosis of Alzheimer disease. Donepezil was added to the patient’s medications, starting at 5 mg and then increased to 10 mg. His wife began to assist him with his tasks of daily living. His mood improved, and his wife noted he began to remember his appointments and take his medications with assistance.
However, the patient’s irritability continued to escalate. He grew paranoid and accused his wife of mismanaging their money. This pattern steadily worsened over the course of 6 months. The situation escalated until one day the patient’s wife called a mental health hotline reporting that her husband was holding her hostage and threatening to kill her with a gun. He told her, “I can do something to you, and they won’t even find a fingernail. It doesn’t have to be with a gun either.” She was counseled to try to stay calm to avoid aggravating the situation and to go to a safe place and stay there until help arrived.
His memory had worsened to the point that he could not recall any events from the previous 2 years. He was paranoid about anyone entering his home and would not allow his deteriorating roof to be repaired or his yard to be maintained. He did not shower for weeks at a time. He slept holding a rifle and accused his wife of embezzlement.
Continue to: The patient was evaluated...
The patient was evaluated by another specialist, who assessed his SLUMS score to be 18/30. He increased the patient’s donepezil dose, initiated a bupropion taper, and added sertraline to the regimen. The PCP spoke to the patient’s wife regarding options for her safety including leaving the home, hiding firearms, and calling the police in cases of interpersonal violence. The wife said she did not want to pursue these options. She expressed worry that he might be harmed if he was uncooperative with the police and said there was no one except her to take care of him.
Caregivers struggle to care for their loved ones
Instances of personal violence lead to shock, astonishment, heartbreak, and fear. Anticipation of a recurrence of violence causes many partners and caregivers to feel exhausted, because there is minimal hope for any chance of improvement. There are a few exceptions, however, as our case will show. In addition to emotional exhaustion, there is also a never-ending sense of self-doubt, leading many caregivers to question their ability to handle their family member.20,21 Over time, this leads to caregiver burnout, leaving them unable to understand their family member’s aggression. The sudden loss of caregiver control in dealing with the patient may also result in the family member exhibiting behavioral changes reflecting emotional trauma. For caregivers who do not live with the patient, they may choose to make fewer or shorter visits—or not visit at all—because they fear being abused.7,22
Caregivers of patients with dementia often feel helpless and powerless once abrupt and drastic changes in personality lead to some form of interpersonal violence. Additionally, caregivers with a poor health status are more likely to have lower physical function and experience greater caregiving stress overall.23 Other factors increasing stress are longer years of caregiving and the severity of a patient’s dementia and functional impairment.23
Interventions to reduce caregiver burden
Many studies have assessed the role of different interventions to reduce caregiver burden, such as teaching them problem-solving skills, increasing their knowledge of dementia, recommending social resources, providing emotional support, changing caregiver perceptions of the care situation, introducing coping strategies, relying on strengths and experiences in caregiving, help-seeking, and engaging in activity programs.24-28 For Hispanic caregivers, a structured and self-paced online telenovela format has been effective in improving care and relieving caregiver stress.29 Online positive emotion regulators helped in significantly improving quality of life and physical health in the caregivers.30 In this last intervention, caregivers had 6 online sessions with a facilitator who taught them emotional regulation skills that included: noticing positive events, capitalizing on them, and feeling gratitude; practicing mindfulness; doing a positive reappraisal; acknowledging personal strengths and setting attainable goals; and performing acts of kindness. Empowerment programs have also shown significant improvement in the well-being of caregivers.31
Caregivers may reject support.
Continue to: These practical tips can help
These practical tips can help
Based on our review of the literature, we recommend offering the following supports to caregivers:
- Counsel caregivers early on in a patient’s dementia that behavior changes are likely and may be unpredictable. Explain that dementia can involve changes to personality and behavior as well as memory difficulties.33,34
- Describe resources for support, such as day programs for senior adults, insurance coverage for caregiver respite programs, and the Alzheimer’s Association (www.alz.org/). Encourage caregivers to seek general medical and mental health care for themselves. Caregivers should have opportunities and support to discuss their experiences and to be appropriately trained for the challenge of caring for a family member with dementia.35
- Encourage disclosure about abrupt changes in the patient’s behavior. This invites families to discuss issues with you and may make them more comfortable with such conversations.
- Involve ancillary services (eg, social worker) to plan for a higher level of care well in advance of it becoming necessary.
- Discuss safety strategies for the caregiver, including when it is appropriate to alter a patient’s set routines such as bedtimes and mealtimes.33,34
- Discuss when and how to involve law enforcement, if necessary.33,34 Emphasize the importance of removing firearms from the home as a safety measure. Although federal laws do not explicitly prohibit possession of arms by patients with neurologic damage, a few states mention “organic brain syndrome” or “dementia” as conditions prohibiting use or possession of firearms.36
- Suggest, as feasible, nonpharmacologic aids for the patient such as massage therapy, animal-assisted therapy, personalized interventions, music therapy, and light therapy.37 Prescribe medications to the patient to aid in behavior modification when appropriate.
- Screen caregivers and family members for signs of interpersonal violence. Take notice of changes in caregiver behavior or irregularity in attending follow-up appointments.
CASE
Over the next month, the patient’s symptoms further deteriorated. His PCP recommended hospitalization, but the patient and his wife declined. Magnetic resonance imaging of the patient’s brain revealed severe confluent and patchy regions of white matter and T2 signal hyperintensity, consistent with chronic microvascular ischemic disease. An old, small, left parietal lobe infarct was also noted.
One month later, the patient presented to the emergency department. His symptoms were largely unchanged, but his wife indicated that she could no longer live at home due to burnout. The patient’s medications were adjusted, but he was not admitted for inpatient care. His wife said they needed help at home, but the patient opposed the idea any time that it was mentioned.
A few weeks later, the patient presented for outpatient follow-up. He was delusional, believing that the government was compelling citizens to take sertraline in order to harm their mental health. He had also begun viewing online pornography in front of his wife and attempting to remove all of his money from the bank. He was prescribed aripiprazole 15 mg, and his symptoms began to improve. Soon after, however, he threatened to kill his grandson, then took all his Lasix pills (a 7-day supply) simultaneously. The patient denied that this was a suicide attempt.
Over the course of the next month, the patient began to report hearing voices. A neuropsychological evaluation confirmed a diagnosis of dementia with psychiatric symptoms due to neurologic injury. The patient was referred to a geriatric psychiatrist and continued to be managed medically. He was assigned a multidisciplinary team comprising palliative care, social work, and care management to assist in his care and provide support to the family. His behavior improved.
Continue to: At the time of this publication...
At the time of this publication, the patient’s irritability and paranoia had subsided and he had made no further threats to his family. He has allowed a home health aide into the house and has agreed to have his roof repaired. His wife still lives with him and assists him with activities of daily living.
Interprofessional teams are key
Caregiver burnout increases the risk of patient neglect or abuse, as individuals who have been the targets of aggressive behavior are more likely to leave demented patients unattended.8,16,23 Although tools are available to screen caregivers for depression and burnout, an important step forward would be to develop an interprofessional team to aid in identifying and closely following high-risk patient–caregiver groups. This continual and varied assessment of psychosocial stressors could help prevent the development of violent interactions. These teams would allow integration with the primary health care system by frequent and effective shared communication of knowledge, development of goals, and shared decision-making.38 Setting expectations, providing support, and discussing safety strategies can improve the health and welfare of caregivers and patients with dementia alike.
CORRESPONDENCE
Abu Baker Sheikh, MD, MSC 10-5550, 1 University of New Mexico, Albuquerque, NM 87131; [email protected].
The number of people with dementia globally is expected to reach 74.7 million by 2030 and 131.5 million by 2050.1 Because dementia is progressive, many patients will exhibit severe symptoms termed behavioral crises. Deteriorating interpersonal conduct and escalating antisocial acts result in an acquired sociopathy.2 Increasing cognitive impairment causes these patients to misunderstand intimate care and perceive it as a threat, often resulting in outbursts of violence against their caregivers.3
Available studies (TABLE4-17) make evident the incidence of interpersonal violence experienced by caregivers secondary to aggressive acts by patients with dementia. This violence ranges from verbal abuse, including racial slurs, to physical abuse—sometimes resulting in significant physical injury. Aggressive behavior by patients with dementia, resulting in violence towards their caregivers or partners, stems from progressive cognitive decline, which can make optimal care difficult. Such episodes may also impair the psychological and physical well-being of caregivers, increasing their risk of depression, anxiety, and even post-traumatic stress disorder (PTSD).18 The extent of the impact is also determined by the interpretation of the abuse by the caregivers themselves. One study suggested that the perception of aggressive or violent behavior as “normal” by a caregiver reduced the overall negative effect of the interactions.7Our review emphasizes the unintended burden that can fall to caregivers of patients with dementia. We also address the role of primary care providers (PCPs) in identifying these instances of violence and intervening appropriately by providing safety strategies, education, resources, and support.
CASE
A 67-year-old man with a medical history of PTSD with depression, type 2 diabetes, alcohol use disorder/dependence, hypertension, and obstructive sleep apnea was brought to his PCP by his wife. She said he had recently been unable to keep appointment times, pay bills, or take his usual medications, venlafaxine and bupropion. She also said his PTSD symptoms had worsened. He was sleeping 12 to 14 hours per day and was increasingly irritable. The patient denied any concerns or changes in his behavior.
The PCP administered a Saint Louis University Mental Status (SLUMS) examination to screen for cognitive impairment.19 The patient scored 14/30 (less than 20 is indicative of dementia). He was unable to complete a simple math problem, recall any items from a list of 5, count in reverse, draw a clock correctly, or recall a full story. Throughout the exam, the patient demonstrated minimal effort and was often only able to complete a task after further prompting by the examiner.
A computed tomography scan of the head revealed no signs of hemorrhage or damage. Thyroid-stimulating hormone levels and vitamin B12 levels were normal. A rapid plasma reagin test result was negative. The patient was given a diagnosis of Alzheimer disease. Donepezil was added to the patient’s medications, starting at 5 mg and then increased to 10 mg. His wife began to assist him with his tasks of daily living. His mood improved, and his wife noted he began to remember his appointments and take his medications with assistance.
However, the patient’s irritability continued to escalate. He grew paranoid and accused his wife of mismanaging their money. This pattern steadily worsened over the course of 6 months. The situation escalated until one day the patient’s wife called a mental health hotline reporting that her husband was holding her hostage and threatening to kill her with a gun. He told her, “I can do something to you, and they won’t even find a fingernail. It doesn’t have to be with a gun either.” She was counseled to try to stay calm to avoid aggravating the situation and to go to a safe place and stay there until help arrived.
His memory had worsened to the point that he could not recall any events from the previous 2 years. He was paranoid about anyone entering his home and would not allow his deteriorating roof to be repaired or his yard to be maintained. He did not shower for weeks at a time. He slept holding a rifle and accused his wife of embezzlement.
Continue to: The patient was evaluated...
The patient was evaluated by another specialist, who assessed his SLUMS score to be 18/30. He increased the patient’s donepezil dose, initiated a bupropion taper, and added sertraline to the regimen. The PCP spoke to the patient’s wife regarding options for her safety including leaving the home, hiding firearms, and calling the police in cases of interpersonal violence. The wife said she did not want to pursue these options. She expressed worry that he might be harmed if he was uncooperative with the police and said there was no one except her to take care of him.
Caregivers struggle to care for their loved ones
Instances of personal violence lead to shock, astonishment, heartbreak, and fear. Anticipation of a recurrence of violence causes many partners and caregivers to feel exhausted, because there is minimal hope for any chance of improvement. There are a few exceptions, however, as our case will show. In addition to emotional exhaustion, there is also a never-ending sense of self-doubt, leading many caregivers to question their ability to handle their family member.20,21 Over time, this leads to caregiver burnout, leaving them unable to understand their family member’s aggression. The sudden loss of caregiver control in dealing with the patient may also result in the family member exhibiting behavioral changes reflecting emotional trauma. For caregivers who do not live with the patient, they may choose to make fewer or shorter visits—or not visit at all—because they fear being abused.7,22
Caregivers of patients with dementia often feel helpless and powerless once abrupt and drastic changes in personality lead to some form of interpersonal violence. Additionally, caregivers with a poor health status are more likely to have lower physical function and experience greater caregiving stress overall.23 Other factors increasing stress are longer years of caregiving and the severity of a patient’s dementia and functional impairment.23
Interventions to reduce caregiver burden
Many studies have assessed the role of different interventions to reduce caregiver burden, such as teaching them problem-solving skills, increasing their knowledge of dementia, recommending social resources, providing emotional support, changing caregiver perceptions of the care situation, introducing coping strategies, relying on strengths and experiences in caregiving, help-seeking, and engaging in activity programs.24-28 For Hispanic caregivers, a structured and self-paced online telenovela format has been effective in improving care and relieving caregiver stress.29 Online positive emotion regulators helped in significantly improving quality of life and physical health in the caregivers.30 In this last intervention, caregivers had 6 online sessions with a facilitator who taught them emotional regulation skills that included: noticing positive events, capitalizing on them, and feeling gratitude; practicing mindfulness; doing a positive reappraisal; acknowledging personal strengths and setting attainable goals; and performing acts of kindness. Empowerment programs have also shown significant improvement in the well-being of caregivers.31
Caregivers may reject support.
Continue to: These practical tips can help
These practical tips can help
Based on our review of the literature, we recommend offering the following supports to caregivers:
- Counsel caregivers early on in a patient’s dementia that behavior changes are likely and may be unpredictable. Explain that dementia can involve changes to personality and behavior as well as memory difficulties.33,34
- Describe resources for support, such as day programs for senior adults, insurance coverage for caregiver respite programs, and the Alzheimer’s Association (www.alz.org/). Encourage caregivers to seek general medical and mental health care for themselves. Caregivers should have opportunities and support to discuss their experiences and to be appropriately trained for the challenge of caring for a family member with dementia.35
- Encourage disclosure about abrupt changes in the patient’s behavior. This invites families to discuss issues with you and may make them more comfortable with such conversations.
- Involve ancillary services (eg, social worker) to plan for a higher level of care well in advance of it becoming necessary.
- Discuss safety strategies for the caregiver, including when it is appropriate to alter a patient’s set routines such as bedtimes and mealtimes.33,34
- Discuss when and how to involve law enforcement, if necessary.33,34 Emphasize the importance of removing firearms from the home as a safety measure. Although federal laws do not explicitly prohibit possession of arms by patients with neurologic damage, a few states mention “organic brain syndrome” or “dementia” as conditions prohibiting use or possession of firearms.36
- Suggest, as feasible, nonpharmacologic aids for the patient such as massage therapy, animal-assisted therapy, personalized interventions, music therapy, and light therapy.37 Prescribe medications to the patient to aid in behavior modification when appropriate.
- Screen caregivers and family members for signs of interpersonal violence. Take notice of changes in caregiver behavior or irregularity in attending follow-up appointments.
CASE
Over the next month, the patient’s symptoms further deteriorated. His PCP recommended hospitalization, but the patient and his wife declined. Magnetic resonance imaging of the patient’s brain revealed severe confluent and patchy regions of white matter and T2 signal hyperintensity, consistent with chronic microvascular ischemic disease. An old, small, left parietal lobe infarct was also noted.
One month later, the patient presented to the emergency department. His symptoms were largely unchanged, but his wife indicated that she could no longer live at home due to burnout. The patient’s medications were adjusted, but he was not admitted for inpatient care. His wife said they needed help at home, but the patient opposed the idea any time that it was mentioned.
A few weeks later, the patient presented for outpatient follow-up. He was delusional, believing that the government was compelling citizens to take sertraline in order to harm their mental health. He had also begun viewing online pornography in front of his wife and attempting to remove all of his money from the bank. He was prescribed aripiprazole 15 mg, and his symptoms began to improve. Soon after, however, he threatened to kill his grandson, then took all his Lasix pills (a 7-day supply) simultaneously. The patient denied that this was a suicide attempt.
Over the course of the next month, the patient began to report hearing voices. A neuropsychological evaluation confirmed a diagnosis of dementia with psychiatric symptoms due to neurologic injury. The patient was referred to a geriatric psychiatrist and continued to be managed medically. He was assigned a multidisciplinary team comprising palliative care, social work, and care management to assist in his care and provide support to the family. His behavior improved.
Continue to: At the time of this publication...
At the time of this publication, the patient’s irritability and paranoia had subsided and he had made no further threats to his family. He has allowed a home health aide into the house and has agreed to have his roof repaired. His wife still lives with him and assists him with activities of daily living.
Interprofessional teams are key
Caregiver burnout increases the risk of patient neglect or abuse, as individuals who have been the targets of aggressive behavior are more likely to leave demented patients unattended.8,16,23 Although tools are available to screen caregivers for depression and burnout, an important step forward would be to develop an interprofessional team to aid in identifying and closely following high-risk patient–caregiver groups. This continual and varied assessment of psychosocial stressors could help prevent the development of violent interactions. These teams would allow integration with the primary health care system by frequent and effective shared communication of knowledge, development of goals, and shared decision-making.38 Setting expectations, providing support, and discussing safety strategies can improve the health and welfare of caregivers and patients with dementia alike.
CORRESPONDENCE
Abu Baker Sheikh, MD, MSC 10-5550, 1 University of New Mexico, Albuquerque, NM 87131; [email protected].
1. Wu YT, Beiser AS, Breteler MMB, et al. The changing prevalence and incidence of dementia over time - current evidence. Nat Rev Neurol. 2017;13:327-339.
2. Cipriani G, Borin G, Vedovello M, et al. Sociopathic behavior and dementia. Acta Neurol Belg. 2013;113:111-115.
3. Cipriani G, Lucetti C, Danti S, et al. Violent and criminal manifestations in dementia patients. Geriatr Gerontol Int. 2016;16:541-549.
4. Skovdahl K, Kihlgren AL, Kihlgren M. Different attitudes when handling aggressive behaviour in dementia—narratives from two caregiver groups. Aging Ment Health. 2003;7:277-286.
5. Kristiansen L, Hellzén O, Asplund K. Swedish assistant nurses’ experiences of job satisfaction when caring for persons suffering from dementia and behavioural disturbances. An interview study. Int J Qualitat Stud Health Well-being. 2006;1:245-256.
6. Wharton TC, Ford BK. What is known about dementia care recipient violence and aggression against caregivers? J Gerontol Soc Work. 2014;57:460-477.
7. Ostaszkiewicz J, Lakhan P, O’Connell B, et al. Ongoing challenges responding to behavioural and psychological symptoms of dementia. Int Nurs Rev. 2015;62:506-516.
8. Kim J, De Bellis AM, Xiao LD. The experience of paid family-care workers of people with dementia in South Korea. Asian Nurs Res (Korean Soc Nurs Sci). 2018;12:34-41.
9. Band-Winterstein T, Avieli H. Women coping with a partner’s dementia-related violence: a qualitative study. J Nurs Scholarsh. 2019; 51:368-379.
10. Munkejord MC, Stefansdottir OA, Sveinbjarnardottir EK. Who cares for the carer? The suffering, struggles and unmet needs of older women caring for husbands living with cognitive decline. Int Pract Devel J. 2020;10:1-11.
11. Seidel D, Thyrian JR. Burden of caring for people with dementia - comparing family caregivers and professional caregivers. A descriptive study. J Multidiscip Healthc. 2019;12:655-663.
12. Tang W, Friedman DB, Kannaley K, et al. Experiences of caregivers by care recipient’s health condition: a study of caregivers for Alzheimer’s disease and related dementias versus other chronic conditions. Geriatr Nurs. 2019;40:181-184.
13. Benbow SM, Bhattacharyya S, Kingston P. Older adults and violence: an analysis of domestic homicide reviews in England involving adults over 60 years of age. Ageing Soc. 2018;39:1097-1121.
14. Herron RV, Wrathall MA. Putting responsive behaviours in place: examining how formal and informal carers understand the actions of people with dementia. Soc Sci Med. 2018;204:9-15.
15. Herron RV, Rosenberg MW. Responding to aggression and reactive behaviours in the home. Dementia (London). 2019;18:1328-1340.
16. Spencer D, Funk LM, Herron RV, et al. Fear, defensive strategies and caring for cognitively impaired family members. J Gerontol Soc Work. 2019;62:67-85.
17. Skovdahl K, Kihlgren AL, Kihlgren M. Dementia and aggressiveness: stimulated recall interviews with caregivers after video-recorded interactions. J Clin Nurs. 2004;13:515-525.
18. Needham I, Abderhalden C, Halfens RJ, et al. Non-somatic effects of patient aggression on nurses: a systematic review. J Adv Nurs. 2005;49:283-296.
19. Tariq SH, Tumosa N, Chibnall JT, et al. The Saint Louis University Mental Status (SLUMS) Examination for detecting mild cognitive impairment and dementia is more sensitive than the Mini-Mental Status Examination (MMSE) - a pilot study. Am J Geriatr Psych. 2006;14:900-910.
20. Janzen S, Zecevic AA, Kloseck M, et al. Managing agitation using nonpharmacological interventions for seniors with dementia. Am J Alzheimers Dis Other Demen. 2013;28:524-532.
21. Zeller A, Dassen T, Kok G, et al. Nursing home caregivers’ explanations for and coping strategies with residents’ aggression: a qualitative study. J Clin Nurs. 2011;20:2469-2478.
22. Alzheimer’s Society. Fix dementia care: homecare. Accessed December 28, 2021. https://www.alzheimers.org.uk/sites/default/files/migrate/downloads/fix_dementia_care_homecare_report.pdf
23. von Känel R, Mausbach BT, Dimsdale JE, et al. Refining caregiver vulnerability for clinical practice: determinants of self-rated health in spousal dementia caregivers. BMC Geriatr. 2019;19:18.
24. Chen HM, Huang MF, Yeh YC, et al. Effectiveness of coping strategies intervention on caregiver burden among caregivers of elderly patients with dementia. Psychogeriatrics. 2015; 15:20-25.
25. Wawrziczny E, Larochette C, Papo D, et al. A customized intervention for dementia caregivers: a quasi-experimental design. J Aging Health. 2019;31:1172-1195.
26. Gitlin LN, Piersol CV, Hodgson N, et al. Reducing neuropsychiatric symptoms in persons with dementia and associated burden in family caregivers using tailored activities: Design and methods of a randomized clinical trial. Contemp Clin Trials. 2016;49:92-102.
27. de Oliveira AM, Radanovic M, Homem de Mello PC, et al. An intervention to reduce neuropsychiatric symptoms and caregiver burden in dementia: preliminary results from a randomized trial of the tailored activity program-outpatient version. Int J Geriatr Psychiatry. 2019;34:1301-1307.
28. Livingston G, Barber J, Rapaport P, et al. Clinical effectiveness of a manual based coping strategy programme (START, STrAtegies for RelaTives) in promoting the mental health of carers of family members with dementia: pragmatic randomised controlled trial. BMJ. 2013;347:f6276.
29. Kajiyama B, Fernandez G, Carter EA, et al. Helping Hispanic dementia caregivers cope with stress using technology-based resources. Clin Gerontol. 2018;41:209-216.
30. Moskowitz JT, Cheung EO, Snowberg KE, et al. Randomized controlled trial of a facilitated online positive emotion regulation intervention for dementia caregivers. Health Psychol. 2019;38:391-402.
31. Yoon HK, Kim GS. An empowerment program for family caregivers of people with dementia. Public Health Nurs. 2020;37:222-233.
32. Zwingmann I, Dreier-Wolfgramm A, Esser A, et al. Why do family dementia caregivers reject caregiver support services? Analyzing types of rejection and associated health-impairments in a cluster-randomized controlled intervention trial. BMC Health Serv Res. 2020;20:121.
33. Nybakken S, Strandås M, Bondas T. Caregivers’ perceptions of aggressive behaviour in nursing home residents living with dementia: A meta-ethnography. J Adv Nurs. 2018;74:2713-2726.
34. Nakaishi L, Moss H, Weinstein M, et al. Exploring workplace violence among home care workers in a consumer-driven home health care program. Workplace Health Saf. 2013;61:441-450.
35. Medical Advisory Secretariat. Caregiver- and patient-directed interventions for dementia: an evidence-based analysis. Ont Health Technol Assess Ser. 2008;8:1-98.
36. Betz ME, McCourt AD, Vernick JS, et al. Firearms and dementia: clinical considerations. Ann Intern Med. 2018;169:47-49.
37. Leng M, Zhao Y, Wang Z. Comparative efficacy of non-pharmacological interventions on agitation in people with dementia: a systematic review and Bayesian network meta-analysis. Int J Nurs Stud. 2020;102:103489.
38. Morgan S, Pullon S, McKinlay E. Observation of interprofessional collaborative practice in primary care teams: an integrative literature review. Int J Nurs Stud. 2015;52:1217-1230.
1. Wu YT, Beiser AS, Breteler MMB, et al. The changing prevalence and incidence of dementia over time - current evidence. Nat Rev Neurol. 2017;13:327-339.
2. Cipriani G, Borin G, Vedovello M, et al. Sociopathic behavior and dementia. Acta Neurol Belg. 2013;113:111-115.
3. Cipriani G, Lucetti C, Danti S, et al. Violent and criminal manifestations in dementia patients. Geriatr Gerontol Int. 2016;16:541-549.
4. Skovdahl K, Kihlgren AL, Kihlgren M. Different attitudes when handling aggressive behaviour in dementia—narratives from two caregiver groups. Aging Ment Health. 2003;7:277-286.
5. Kristiansen L, Hellzén O, Asplund K. Swedish assistant nurses’ experiences of job satisfaction when caring for persons suffering from dementia and behavioural disturbances. An interview study. Int J Qualitat Stud Health Well-being. 2006;1:245-256.
6. Wharton TC, Ford BK. What is known about dementia care recipient violence and aggression against caregivers? J Gerontol Soc Work. 2014;57:460-477.
7. Ostaszkiewicz J, Lakhan P, O’Connell B, et al. Ongoing challenges responding to behavioural and psychological symptoms of dementia. Int Nurs Rev. 2015;62:506-516.
8. Kim J, De Bellis AM, Xiao LD. The experience of paid family-care workers of people with dementia in South Korea. Asian Nurs Res (Korean Soc Nurs Sci). 2018;12:34-41.
9. Band-Winterstein T, Avieli H. Women coping with a partner’s dementia-related violence: a qualitative study. J Nurs Scholarsh. 2019; 51:368-379.
10. Munkejord MC, Stefansdottir OA, Sveinbjarnardottir EK. Who cares for the carer? The suffering, struggles and unmet needs of older women caring for husbands living with cognitive decline. Int Pract Devel J. 2020;10:1-11.
11. Seidel D, Thyrian JR. Burden of caring for people with dementia - comparing family caregivers and professional caregivers. A descriptive study. J Multidiscip Healthc. 2019;12:655-663.
12. Tang W, Friedman DB, Kannaley K, et al. Experiences of caregivers by care recipient’s health condition: a study of caregivers for Alzheimer’s disease and related dementias versus other chronic conditions. Geriatr Nurs. 2019;40:181-184.
13. Benbow SM, Bhattacharyya S, Kingston P. Older adults and violence: an analysis of domestic homicide reviews in England involving adults over 60 years of age. Ageing Soc. 2018;39:1097-1121.
14. Herron RV, Wrathall MA. Putting responsive behaviours in place: examining how formal and informal carers understand the actions of people with dementia. Soc Sci Med. 2018;204:9-15.
15. Herron RV, Rosenberg MW. Responding to aggression and reactive behaviours in the home. Dementia (London). 2019;18:1328-1340.
16. Spencer D, Funk LM, Herron RV, et al. Fear, defensive strategies and caring for cognitively impaired family members. J Gerontol Soc Work. 2019;62:67-85.
17. Skovdahl K, Kihlgren AL, Kihlgren M. Dementia and aggressiveness: stimulated recall interviews with caregivers after video-recorded interactions. J Clin Nurs. 2004;13:515-525.
18. Needham I, Abderhalden C, Halfens RJ, et al. Non-somatic effects of patient aggression on nurses: a systematic review. J Adv Nurs. 2005;49:283-296.
19. Tariq SH, Tumosa N, Chibnall JT, et al. The Saint Louis University Mental Status (SLUMS) Examination for detecting mild cognitive impairment and dementia is more sensitive than the Mini-Mental Status Examination (MMSE) - a pilot study. Am J Geriatr Psych. 2006;14:900-910.
20. Janzen S, Zecevic AA, Kloseck M, et al. Managing agitation using nonpharmacological interventions for seniors with dementia. Am J Alzheimers Dis Other Demen. 2013;28:524-532.
21. Zeller A, Dassen T, Kok G, et al. Nursing home caregivers’ explanations for and coping strategies with residents’ aggression: a qualitative study. J Clin Nurs. 2011;20:2469-2478.
22. Alzheimer’s Society. Fix dementia care: homecare. Accessed December 28, 2021. https://www.alzheimers.org.uk/sites/default/files/migrate/downloads/fix_dementia_care_homecare_report.pdf
23. von Känel R, Mausbach BT, Dimsdale JE, et al. Refining caregiver vulnerability for clinical practice: determinants of self-rated health in spousal dementia caregivers. BMC Geriatr. 2019;19:18.
24. Chen HM, Huang MF, Yeh YC, et al. Effectiveness of coping strategies intervention on caregiver burden among caregivers of elderly patients with dementia. Psychogeriatrics. 2015; 15:20-25.
25. Wawrziczny E, Larochette C, Papo D, et al. A customized intervention for dementia caregivers: a quasi-experimental design. J Aging Health. 2019;31:1172-1195.
26. Gitlin LN, Piersol CV, Hodgson N, et al. Reducing neuropsychiatric symptoms in persons with dementia and associated burden in family caregivers using tailored activities: Design and methods of a randomized clinical trial. Contemp Clin Trials. 2016;49:92-102.
27. de Oliveira AM, Radanovic M, Homem de Mello PC, et al. An intervention to reduce neuropsychiatric symptoms and caregiver burden in dementia: preliminary results from a randomized trial of the tailored activity program-outpatient version. Int J Geriatr Psychiatry. 2019;34:1301-1307.
28. Livingston G, Barber J, Rapaport P, et al. Clinical effectiveness of a manual based coping strategy programme (START, STrAtegies for RelaTives) in promoting the mental health of carers of family members with dementia: pragmatic randomised controlled trial. BMJ. 2013;347:f6276.
29. Kajiyama B, Fernandez G, Carter EA, et al. Helping Hispanic dementia caregivers cope with stress using technology-based resources. Clin Gerontol. 2018;41:209-216.
30. Moskowitz JT, Cheung EO, Snowberg KE, et al. Randomized controlled trial of a facilitated online positive emotion regulation intervention for dementia caregivers. Health Psychol. 2019;38:391-402.
31. Yoon HK, Kim GS. An empowerment program for family caregivers of people with dementia. Public Health Nurs. 2020;37:222-233.
32. Zwingmann I, Dreier-Wolfgramm A, Esser A, et al. Why do family dementia caregivers reject caregiver support services? Analyzing types of rejection and associated health-impairments in a cluster-randomized controlled intervention trial. BMC Health Serv Res. 2020;20:121.
33. Nybakken S, Strandås M, Bondas T. Caregivers’ perceptions of aggressive behaviour in nursing home residents living with dementia: A meta-ethnography. J Adv Nurs. 2018;74:2713-2726.
34. Nakaishi L, Moss H, Weinstein M, et al. Exploring workplace violence among home care workers in a consumer-driven home health care program. Workplace Health Saf. 2013;61:441-450.
35. Medical Advisory Secretariat. Caregiver- and patient-directed interventions for dementia: an evidence-based analysis. Ont Health Technol Assess Ser. 2008;8:1-98.
36. Betz ME, McCourt AD, Vernick JS, et al. Firearms and dementia: clinical considerations. Ann Intern Med. 2018;169:47-49.
37. Leng M, Zhao Y, Wang Z. Comparative efficacy of non-pharmacological interventions on agitation in people with dementia: a systematic review and Bayesian network meta-analysis. Int J Nurs Stud. 2020;102:103489.
38. Morgan S, Pullon S, McKinlay E. Observation of interprofessional collaborative practice in primary care teams: an integrative literature review. Int J Nurs Stud. 2015;52:1217-1230.
PRACTICE RECOMMENDATIONS
› Screen caregivers and family members of patients with dementia for signs of interpersonal violence. C
› Counsel caregivers early on that behavior changes in patients with dementia are likely and may be unpredictable. C
› Discuss safety strategies for the caregiver, including when it is appropriate to alter routines such as bedtimes and meals. C
Strength of recommendation (SOR)
A Good-quality patient-oriented evidence
B Inconsistent or limited-quality patient-oriented evidence
C Consensus, usual practice, opinion, disease-oriented evidence, case series
How to identify balance disorders and reduce fall risk
CASE Mr. J, a 75-year-old man, presents to your family practice reporting that he feels increasingly unsteady and slow while walking. He fell twice last year, without resulting injury. He now worries about tripping while walking around the house and relies on his spouse to run errands.
Clearly, Mr. J is experiencing a problem with balance. What management approach should you undertake to prevent him from falling?
Balance disorders are common in older people and drastically hinder quality of life.1-4 Patients often describe imbalance as vague symptoms: dizziness, unsteadiness, faintness, spinning sensations.5,6 Importantly, balance disorders disrupt normal gait and contribute to falls that are a major cause of disability and morbidity in older people. Almost 30% of people older than 65 years report 1 or more falls annually.7 Factors that increase the risk of falls include impaired mobility, previously reported falls, reduced psychological functioning, chronic medical conditions, and polypharmacy.7,8
The cause of any single case of imbalance is often multifactorial, resulting from dysfunction of multiple body systems (TABLE 17-56); in our clinical experience, most patients with imbalance and who are at risk of falls do not have a detectable deficit of the vestibular system. These alterations in function arise in 3 key systems—vision, proprioception, and vestibular function—which signal to, and are incorporated by, the cerebellum to mediate balance. Cognitive and neurologic decline are also factors in imbalance.
Considering that 20% of falls result in serious injury in older populations, it is important to identify balance disorders and implement preventive strategies to mitigate harmful consequences of falls on patients’ health and independence.7,57 In this article, we answer the question that the case presentation raises about the proper management approach to imbalance in family practice, including assessment of risk and rehabilitation strategies to reduce the risk of falls. Our insights and recommendations are based on our clinical experience and a review of the medical literature from the past 40 years.
CASE Mr. J has a history of hypertension, age-related hearing loss, and osteoarthritis of the knees; he has not had surgery for the arthritis. His medications are antihypertensives and extra-strength acetaminophen for knee pain.
Making the diagnosis of a balance disorder
History
A thorough clinical history, often including a collateral history from caregivers, narrows the differential diagnosis. Information regarding onset, duration, timing, character, and previous episodes of imbalance is essential. Symptoms of imbalance are often challenging for the patient to describe: They might use terms such as vertigo or dizziness, when, in fact, on further questioning, they are describing balance difficulties. Inquiry into (1) their use of assistive walking devices and (2) development or exacerbation of neurologic, musculoskeletal, auditory, visual, and mood symptoms is necessary. Note the current level of their mobility, episodes of pain or fatigue, previous falls and associated injuries, fear of falling, balance confidence, and sensations that precede falls.58
Continue to: The medical and surgical histories
The medical and surgical histories are key pieces of information. The history of smoking, alcohol habits, and substance use is relevant.
A robust medication history is essential to evaluate a patient’s risk of falling. Polypharmacy—typically, defined as taking 4 or more medications—has been repeatedly associated with a heightened risk of falls.53,59-61 Moreover, a dose-dependent association between polypharmacy and hospitalization following falls has been identified, and demonstrates that taking 10 or more medications greatly increases the risk of hospitalization.59 Studies of polypharmacy cement the importance of inquiring about medication use when assessing imbalance, particularly in older patients.
Physical examination
A focused and detailed physical examination provides insight into systems that should be investigated:
- Obtain vital signs, including orthostatic vitals to test for orthostatic hypotension62; keep in mind that symptoms of orthostatic dizziness can occur without orthostatic hypotension.
- Examine gait, which can distinguish between causes of imbalance (TABLE 2).21,40,63-70
- Perform a cardiac examination.
- Assess visual acuity and visual fields; test for nystagmus and identify any optic-nerve and retinal abnormalities.
- Evaluate lower-limb sensation, proprioception, and motor function.
- Evaluate suspected vestibular dysfunction, including dysfunction with positional testing (the Dix-Hallpike maneuver71). The patient is taken from sitting to supine while the head is rotated 45° to the tested side by the examiner. As the patient moves into a supine position, the neck is extended 30° off the table and held for at least 30 seconds. The maneuver is positive if torsional nystagmus is noted while the head is held rotated during neck extension. The maneuver is negative if the patient reports dizziness, vertigo, unsteadiness, or “pressure in the head.” Torsional nystagmus must be present to confirm a diagnosis of benign paroxysmal positional vertigo.
- If you suspect a central nervous system cause of imbalance, assess the cranial nerves, coordination, strength, and, of course, balance.
CASE
Mr. J’s physical examination showed normal vital signs without significant postural changes in blood pressure. Gait analysis revealed a slowed gait, with reduced range of motion in both knees over the entire gait cycle. Audiometry revealed symmetric moderate sensorineural hearing loss characteristic of presbycusis.
Diagnostic investigations
Consider focused investigations into imbalance based on the history and physical examination. We discourage overly broad testing and imaging; in primary care, cost and limited access to technology can bar robust investigations into causes of imbalance. However, identification of acute pathologies should prompt immediate referral to the emergency department. Furthermore, specific symptoms (TABLE 17-56) should prompt referral to specialists for assessment.
Continue to: In the emergency department...
In the emergency department and academic hospitals, key investigations can identify causes of imbalance:
- Electrocardiography and Holter monitoring test for cardiac arrhythmias.
- Echocardiography identifies structural abnormalities.
- Radiography and computed tomography are useful for detecting musculoskeletal abnormalities.
- Bone densitometry can identify osteoporosis.
- Head and spinal cord magnetic resonance imaging can be used to identify lesions of the central nervous system.
- Computed tomographic angiography of the head and neck is useful for identifying stroke, cerebral atrophy, and stenotic lesions of the carotid and vertebral arteries.
- Nerve conduction studies and levels of serum vitamin B12, hemoglobin A1C, thyroid-stimulating hormone, and random cortisol can uncover causes of peripheral neuropathy.
- Bedside cognitive screening tests can be used to measure cognitive decline.72
- Suspicion of vestibular disease requires audiometry and vestibular testing, including videonystagmography, head impulse testing, and vestibular evoked myogenic potentials.
In many cases of imbalance, no specific underlying correctable cause is discovered.
Management of imbalance
Pharmacotherapy
Targeted pharmacotherapy can be utilized in select clinical scenarios:
- Medical treatment of peripheral neuropathy should target the underlying condition.
- Cognitive behavioral therapy and antidepressants are useful for treating anxiety and depressive disorders.73
- Musculoskeletal pain can be managed with acetaminophen and topical nonsteroidal anti-inflammatory drugs (NSAIDs), using a short course of an oral NSAID when needed.74
- Cardiovascular disease management might include any of several classes of pharmacotherapy, including antiplatelet and lipid-lowering medications, antiarrhythmic drugs, and antihypertensive agents.
- Acute episodes of vertigo due to vestibular neuritis or labyrinthitis can be managed with an antiemetic.46
Surgical treatment
Surgery is infrequently considered for patients with imbalance. Examples of indications include microsurgical resection of vestibular schwannoma, resection of central nervous system tumors, lens replacement surgery for cataract, surgical management of severe spinal fracture, and hip or knee arthroplasty in select patients.
Tools for assessing the risk of falls
Scoring systems called falls risk assessment tools, or FRAT, have been developed to gauge a patient’s risk of falling. The various FRATs differ in specificity and sensitivity for predicting the risk of falls, and are typically designed for specific clinical environments, such as hospital inpatient care or long-term care facilities. Specifically, FRATs attempt to classify risk using sets of risk factors known to be associated with falls.
Continue to: Research abounds into...
Research abounds into the validity of commonly used FRATs across institutions, patient populations, and clinical environments:
The Johns Hopkins FRATa determines risk using metrics such as age, fall history, incontinence, cognition, mobility, and medications75; it is predominantly used for assessment in hospital inpatient units. This tool has been validated repeatedly.76,77
Peninsula Health FRATb stratifies patients in subacute and residential aged-care settings, based on risk factors that include recent falls, medications, psychological status, and cognition.78
FRAT-upc is a web-based tool that generates falls risk using risk factors that users input. This tool has been studied in the context of patients older than 65 years living in the community.79
Although FRATs are reasonably useful for predicting falls, their utility varies by patient population and clinical context. Moreover, it has been suggested that FRATs neglect environmental and personal factors when assessing risk by focusing primarily on bodily factors.80 Implementing a FRAT requires extensive consideration of the target population and should be accompanied by clinical judgment that is grounded in an individual patient’s circumstances.81
Continue to: Preventing falls in primary care
Preventing falls in primary care
An approach to preventing falls includes the development of individualized programs that account for frailty, a syndrome of physiologic decline associated with aging. Because frailty leads to diminished balance and mobility, a patient’s frailty index—determined using the 5 frailty phenotype criteria (exhaustion, weight loss, low physical activity, weakness, slowness)82 or the Canadian Study of Health and Aging Clinical Frailty Scale83—is a useful tool for predicting falls risk and readmission for falls following trauma-related injury. Prevention of falls in communities is critical for reducing mortality and allowing older people to maintain their independence and quality of life.
Exercise. In some areas, exercise and falls prevention programs are accessible to seniors.84 Community exercise programs that focus on balance retraining and muscle strengthening can reduce the risk of falls.73,85 The Choosing Wisely initiative of the ABIM [American Board of Internal Medicine] Foundation recommends that exercise programs be designed around an accurate functional baseline of the patient to avoid underdosed strength training.54
Multifactorial risk assessment in high-risk patients can reduce the rate of falls. Such an assessment includes examination of orthostatic blood pressure, vision and hearing, bone health, gait, activities of daily living, cognition, and environmental hazards, and enables provision of necessary interventions.73,86 Hearing amplification, specifically, correlates with enhanced postural control, slowed cognitive decline, and a reduced likelihood of falls.87-93 The mechanism behind improved balance performance might be reduced cognitive load through supporting a patient’s listening needs.88-90
Pharmacotherapy. Optimizing medications and performing a complete medication review before prescribing new medications is highly recommended to avoid unnecessary polypharmacy7,8,18,53-56 (TABLE 17-56).
Management of comorbidities associated with a higher risk of falls, including arthritis, cancer, stroke, diabetes, depression, kidney disease, chronic obstructive pulmonary disease, cognitive impairment, hypertension, and atrial fibrillation, is essential.94-96
Continue to: Home safety interventions
Home safety interventions, through occupational therapy, are important. These include removing unsafe mats and step-overs and installing nonslip strips on stairs, double-sided tape under mats, and handrails.73-97
Screening for risk of falls. The Centers for Disease Control and Prevention recommends that (1) all patients older than 65 years and (2) any patient presenting with an acute fall undergo screening for their risk of falls.98 When a patient is identified as at risk of falling, you can, when appropriate, assess modifiable risk factors and facilitate interventions.98 This strategy is supported by a 2018 statement from the US Preventive Services Task Force99 that recommends identifying high-risk patients who have:
- a history of falling
- a balance disturbance that causes a deficit of mobility or function
- poor performance on clinical tests, such as the 3-meter Timed Up and Go (TUG) assessment (www.cdc.gov/steadi/pdf/TUG_test-print.pdf).
An increased risk of falls should prompt you to refer the patient to community programs and physiotherapy in accordance with the individual’s personal goals99; a balance and vestibular physiotherapist is ideally positioned to accurately assess and manage patients at risk of falls. Specifically, the Task Force identified exercise programs and multifactorial interventions as being beneficial in preventing falls in high-risk older people.99
Balance assessment and rehabilitation in specialty centers
An individualized rehabilitation program aims to restore safe mobility by testing and addressing specific balance deficits, improving functional balance, and increasing balance confidence. Collaboration with colleagues from physiotherapy and occupational therapy aids in tailoring individualized programs.
Many tests are available to assess balance, determine the risk of falls, and guide rehabilitation:
- The timed 10-meter walk testd and the TUG test are simple assessments that measure functional mobility; both have normalized values for the risk of falls. A TUG time of ≥ 12 seconds suggests a high risk of falls.
- The 30-second chair stande evaluates functional lower-extremity strength in older patients. The test can indicate if lower-extremity strength is contributing to a patient’s imbalance.
- The modified clinical test of sensory interaction in balancef is a static balance test that measures the integrity of sensory inputs. The test can suggest if 1 or more sensory systems are compromised.
- The mini balance evaluation systems testg is similar: It can differentiate balance deficits by underlying system and allows individualization of a rehabilitation program.
- The functional gait assessmenth is a modification of the dynamic gait index that assesses postural stability during everyday dynamic activities, including tasks such as walking with head turns and pivots.
- The Berg Balance Scalei continues to be used extensively to assess balance.
Continue to: The mini balance evaluation systems test...
The mini balance evaluation systems test, functional gait index, and Berg Balance Scale all have normative age-graded values to predict fall risk.
CASE
Mr. J was referred for balance assessment and to a rehabilitation program. He underwent balance physiotherapy, including multifactorial balance assessment, joined a community exercise program, was fitted with hearing aids, and had his home environment optimized by an occupational therapist. (See examples of “home safety interventions” under “Preventing falls in primary care.”)
3 months later. Mr. J says he feels stronger on his feet. His knee pain has eased, and he is more confident walking around his home. He continues to engage in exercise programs and is comfortable running errands with his spouse.
CORRESPONDENCE
Jason A. Beyea, MD, PhD, FRCSC, Division of OtolaryngologyHead and Neck Surgery, Queen’s University, 144 Brock Street, Kingston, Ontario, Canada, K7L 5G2; [email protected]
awww.hopkinsmedicine.org/institute_nursing/models_tools/jhfrat_acute%20care%20original_6_22_17.pdf
cwww.ncbi.nlm.nih.gov/pmc/articles/PMC4376110/figure/figure14/?report=objectonly
ewww.cdc.gov/steadi/pdf/STEADI-Assessment-30Sec-508.pdf
fwww.mdapp.co/mctsib-modified-clinical-test-of-sensory-interaction-in-balance-calculator-404/
gwww.sralab.org/sites/default/files/2017-07/MiniBEST_revised_final_3_8_13.pdf
1. Larocca NG. Impact of walking impairment in multiple sclerosis: perspectives of patients and care partners. Patient. 2011;4:189-201. doi: 10.2165/11591150-000000000-00000
2. doi: 10.3390/geriatrics4020037
TB, ZF, ES, et al. The relationship of balance disorders with falling, the effect of health problems, and social life on postural balance in the elderly living in a district in Turkey. Geriatrics (Basel). 2019;4:37.3.
R, Sixt E, Landahl S, et al. Prevalence of dizziness and vertigo in an urban elderly population. J Vestib Res. 2004;14:47-52.4. Sturnieks DL, St George R, Lord SR. Balance disorders in the elderly. Neurophysiol Clin. 2008;38:467-478. doi: 10.1016/j.neucli.2008.09.001
5. Boult C, Murphy J, Sloane P, et al. The relation of dizziness to functional decline. J Am Geriatr Soc. 1991;39:858-861. doi: 10.1111/j.1532-5415.1991.tb04451.x
6. Lin HW, Bhattacharyya N. Balance disorders in the elderly: epidemiology and functional impact. Laryngoscope. 2012;122:1858-1861. doi: 10.1002/lary.23376
7. Jia H, Lubetkin EI, DeMichele K, et al. Prevalence, risk factors, and burden of disease for falls and balance or walking problems among older adults in the U.S. Prev Med. 2019;126:105737. doi: 10.1016/j.ypmed.2019.05.025
8. Al-Momani M, Al-Momani F, Alghadir AH, et al. Factors related to gait and balance deficits in older adults. Clin Interv Aging. 2016;11:1043-1049. doi: 10.2147/CIA.S112282
9. Agrawal Y, Ward BK, Minor LB. Vestibular dysfunction: prevalence, impact and need for targeted treatment. J Vestib Res. 2013;23:113-117. doi: 10.3233/VES-130498
10. Altinsoy B, Erboy F, Tanriverdi H, et al. Syncope as a presentation of acute pulmonary embolism. Ther Clin Risk Manag. 2016;12:1023-1028. doi: 10.2147/TCRM.S105722
11. Belvederi Murri M, Triolo F, Coni A, et al. Instrumental assessment of balance and gait in depression: a systematic review. Psychiatry Res. 2020;284:112687. doi: 10.1016/j.psychres.2019.112687
12. Bhattacharyya N, Gubbels SP, Schwartz SR, et al. Clinical practice guideline: benign paroxysmal positional vertigo (update). Otolaryngol Head Neck Surg. 2017;156(suppl 3):S1-S47. doi: 10.1177/0194599816689667
13. doi: 10.1186/s12875-017-0695-0
S, Schwarm S, Grevenrath P, et al. Prevalence, aetiologies and prognosis of the symptom dizziness in primary care - a systematic review. BMC Fam Pract. 2018;19:33.14. Brouwer MC, Tunkel AR, van de Beek D. Epidemiology, diagnosis, and antimicrobial treatment of acute bacterial meningitis. Clin Microbiol Rev. 2010;23:467-492. doi: 10.1128/CMR.00070-09
15. Chad DA. Lumbar spinal stenosis. Neurol Clin. 2007;25:407-418. doi: 10.1016/j.ncl.2007.01.003
16. Conrad BP, Shokat MS, Abbasi AZ, et al. Associations of self-report measures with gait, range of motion and proprioception in patients with lumbar spinal stenosis. Gait Posture. 2013;38:987-992. doi: 10.1016/j.gaitpost.2013.05.010
17. de Luna RA, Mihailovic A, Nguyen AM, et al. The association of glaucomatous visual field loss and balance. Transl Vis Sci Technol. 2017;6:8. doi: 10.1167/tvst.6.3.8
18. DiSogra RM. Common aminoglycosides and platinum-based ototoxic drugs: cochlear/vestibular side effects and incidence. Semin Hear. 2019;40:104-107. doi: 10.1055/s-0039-1684040
19. Ebersbach G, Moreau C, Gandor F, et al. Clinical syndromes: parkinsonian gait. Mov Disord. 2013;28:1552-1559. doi: 10.1002/mds.25675
20. Evans WJ. Skeletal muscle loss: cachexia, sarcopenia, and inactivity. Am J Clin Nutr. 2010;91:1123S-1127S. doi: 10.3945/ajcn.2010.28608A
21. Filli L, Sutter T, Easthope CS, et al. Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time. Sci Rep. 2018;8:4984. doi: 10.1038/s41598-018-22676-0
22. Fritz NE, Kegelmeyer DA, Kloos AD, et al. Motor performance differentiates individuals with Lewy body dementia, Parkinson’s and Alzheimer’s disease. Gait Posture. 2016;50:1-7. doi: 10.1016/j.gaitpost.2016.08.009
23. Furman JM, Jacob RG. A clinical taxonomy of dizziness and anxiety in the otoneurological setting. J Anxiety Disord. 2001;15:9-26. doi: 10.1016/s0887-6185(00)00040-2
24. Furman JM, Marcus DA, Balaban CD. Vestibular migraine: clinical aspects and pathophysiology. Lancet Neurol. 2013;12:706-715. doi: 10.1016/S1474-4422(13)70107-8
25. Gerson LW, Jarjoura D, McCord G. Risk of imbalance in elderly people with impaired hearing or vision. Age Ageing. 1989;18:31-34. doi: 10.1093/ageing/18.1.31
26. Goudakos JK, Markou KD, Franco-Vidal V, et al. Corticosteroids in the treatment of vestibular neuritis: a systematic review and meta-analysis. Otol Neurotol. 2010;31:183-189. doi: 10.1097/MAO.0b013e3181ca843d
27. Green AD, doi: 10.1001/jama.292.23.2890
CS, Bastian L, et al. Does this woman have osteoporosis? JAMA. 2004;292:2890-2900.28. Hallemans A, Ortibus E, Meire F, et al. Low vision affects dynamic stability of gait. Gait Posture. 2010;32:547-551. doi: 10.1016/j.gaitpost.2010.07.018
29. Handelsman JA. Vestibulotoxicity: strategies for clinical diagnosis and rehabilitation. Int J Audiol. 2018;57(suppl 4):S99-S107. doi: 10.1080/14992027.2018.1468092
30. Head VA, Wakerley BR. Guillain-Barré syndrome in general practice: clinical features suggestive of early diagnosis. Br J Gen Pract. 2016;66:218-219. doi: 10.3399/bjgp16X684733
31. Helbostad JL, Vereijken B, Hesseberg K, et al. Altered vision destabilizes gait in older persons. Gait Posture. 2009;30:233-238. doi: 10.1016/j.gaitpost.2009.05.004
32. Hsu W-L, Chen C-Y, Tsauo J-Y, et al. Balance control in elderly people with osteoporosis. J Formos Med Assoc. 2014;113:334-339. doi: 10.1016/j.jfma.2014.02.006
33. Kim H-S, Yun DH, Yoo SD, et al. Balance control and knee osteoarthritis severity. Ann Rehabil Med. 2011;35:701-709. doi: 10.5535/arm.2011.35.5.701
34. Li L, Simonsick EM, Ferrucci L, et al. Hearing loss and gait speed among older adults in the United States. Gait Posture. 2013;38:25-29.
35. McKeith IG, Boeve BF, Dickson DW, et al. Diagnosis and management of dementia with Lewy bodies: fourth consensus report of the DLB Consortium. Neurology. 2017;89:88-100. doi: 10.1212/WNL.0000000000004058
36. Milner KA, Funk M, Richards S, et al. Gender differences in symptom presentation associated with coronary heart disease. Am J Cardiol. 1999;84:396-399. doi: 10.1016/s0002-9149(99)00322-7
37. Paillard T, doi: 10.3109/07420528.2015.1124885
F, Bru N, et al. The impact of time of day on the gait and balance control of Alzheimer’s patients. Chronobiol Int. 2016;33:161-168.38. Paldor I, Chen AS, Kaye AH. Growth rate of vestibular schwannoma. J Clin Neurosci. 2016;32:1-8. doi: 10.1016/j.jocn.2016.05.003
39. Picorelli AMA, Hatton AL, Gane EM, et al. Balance performance in older adults with hip osteoarthritis: a systematic review. Gait Posture. 2018;65:89-99. doi: 10.1016/j.gaitpost.2018.07.001
40. Raccagni C, Nonnekes J, Bloem BR, et al. Gait and postural disorders in parkinsonism: a clinical approach. J Neurol. 2020;267:3169-3176. doi: 10.1007/s00415-019-09382-1
41. Shanmugarajah PD, Hoggard N, Currie S, et al. Alcohol-related cerebellar degeneration: not all down to toxicity? Cerebellum Ataxias. 2016;3:17. doi: 10.1186/s40673-016-0055-1
42. Shih RY, Smirniotopoulos JG. Posterior fossa tumors in adult patients. Neuroimaging Clin N Am. 2016;26:493-510. doi: 10.1016/j.nic.2016.06.003
43. Smith EE. Clinical presentations and epidemiology of vascular dementia. Clin Sci (Lond). 2017;131:1059-1068. doi: 10.1042/CS20160607
44. Streur M, Ratcliffe SJ, Ball J, et al. Symptom clusters in adults with chronic atrial fibrillation. J Cardiovasc Nurs. 2017;32:296-303. doi: 10.1097/JCN.0000000000000344
45. Strupp M, doi: 10.1097/WCO.0000000000000649
M, JA. Peripheral vestibular disorders: an update. Curr Opin Neurol. 2019;32:165-173.46. Thompson TL, Amedee R. Vertigo: a review of common peripheral and central vestibular disorders. Ochsner J. 2009;9:20-26.
47. Timar B, Timar R, doi: 10.1371/journal.pone.0154654
L, et al. The impact of diabetic neuropathy on balance and on the risk of falls in patients with type 2 diabetes mellitus: a cross-sectional study. PLoS One. 2016;11:e0154654.48. Walls R, Hockberger R, Gausche-Hill M. Peripheral nerve disorders. In: Rosen’s Emergency Medicine: Concepts and Clinical Practice. 9th ed. Elsevier, Inc; 2018:1307-1320.
49. Watson JC, Dyck PJB. Peripheral neuropathy: a practical approach to diagnosis and symptom management. Mayo Clin Proc. 2015;90:940-951. doi: 10.1016/j.mayocp.2015.05.004
50. Whitfield KC, Bourassa MW, Adamolekun B, et al. Thiamine deficiency disorders: diagnosis, prevalence, and a roadmap for global control programs. Ann N Y Acad Sci. 2018;1430:3-43. doi: 10.1111/nyas.13919
51. Wu V, Sykes EA, Beyea MM, et al. Approach to Meniere disease management. Can Fam Physician. 2019;65:463-467.
52. Yew KS, Cheng EM. Diagnosis of acute stroke. Am Fam Physician. 2015;91:528-536.
53. Seppala LJ, van de Glind EMM, Daams JG, et al; doi: 10.1016/j.jamda.2017.12.099
. Fall-risk-increasing drugs: a systematic review and meta-analysis: III. Others. J Am Med Dir Assoc. 2018;19:372.e1-372.e8.54. ABIM Foundation. Choosing wisely. Choosing Wisely website. 2021. Accessed November 11. 2021. www.choosingwisely.org/
55. Berlie HD, Garwood CL. Diabetes medications related to an increased risk of falls and fall-related morbidity in the elderly. Ann Pharmacother. 2010;44:712-717. doi: 10.1345/aph.1M551
56. Hartikainen S, doi: 10.1093/gerona/62.10.1172
E, Louhivuori K. Medication as a risk factor for falls: critical systematic review. J Gerontol A Biol Sci Med Sci. 2007;62:1172-1181.57. Khanuja K, Joki J, Bachmann G, et al. Gait and balance in the aging population: Fall prevention using innovation and technology. Maturitas. 2018;110:51-56. doi: 10.1016/j.maturitas.2018.01.021
58. Salzman B. Gait and balance disorders in older adults. Am Fam Physician. 2010;82:61-68.
59. Zaninotto P, Huang YT, Di Gessa G, et al. Polypharmacy is a risk factor for hospital admission due to a fall: evidence from the English Longitudinal Study of Ageing. BMC Public Health. 2020;20:1804. doi: 10.1186/s12889-020-09920-x
60. Morin L, Calderon doi: 10.2147/CLEP.S201614
A, Welmer AK, et al. Polypharmacy and injurious falls in older adults: a nationwide nested case-control study. Clin Epidemiol. 2019;11:483-493.61. Dhalwani NN, Fahami R, Sathanapally H, et al. Association between polypharmacy and falls in older adults: a longitudinal study from England. BMJ Open. 2017;7:e016358. doi: 10.1136/bmjopen-2017-016358
62. Arnold AC, Raj SR. Orthostatic hypotension: a practical approach to investigation and management. Can J Cardiol. 2017;33:1725-1728. doi: 10.1016/j.cjca.2017.05.007
63. Alexander NB. Differential diagnosis of gait disorders in older adults. Clin Geriatr Med. 1996;12:689-703.
64. Baker JM. Gait disorders. Am J Med. 2018;131:602-607. doi: 10.1016/j.amjmed.2017.11.051
65. Cameron MH, Wagner JM. Gait abnormalities in multiple sclerosis: pathogenesis, evaluation, and advances in treatment. Curr Neurol Neurosci Rep. 2011;11:507-515. doi: 10.1007/s11910-011-0214-y
66. Chen C-L, Chen H-C, Tang SF-T, et al. Gait performance with compensatory adaptations in stroke patients with different degrees of motor recovery. Am J Phys Med Rehabil. 2003;82:925-935. doi: 10.1097/01.PHM.0000098040.13355.B5
67. Marsden J, Harris C. Cerebellar ataxia: pathophysiology and rehabilitation. Clin Rehabil. 2011;25:195-216. doi: 10.1177/0269215510382495
68. Mirek E, Filip M, doi: 10.3389/fnins.2017.00566
W, et al. Three-dimensional trunk and lower limbs characteristics during gait in patients with Huntington’s disease. Front Neurosci. 2017;11:566.69. Paramanandam V, Lizarraga KJ, Soh D, et al. Unusual gait disorders: a phenomenological approach and classification. Expert Rev Neurother. 2019;19:119-132. doi: 10.1080/14737175.2019.1562337
70. Sahyouni R, Goshtasbi K, Mahmoodi A, et al. Chronic subdural hematoma: a historical and clinical perspective. World Neurosurg. 2017;108:948-953. doi: 10.1016/j.wneu.2017.09.064
71. Talmud JD, Coffey R, Edemekong PF. Dix Hallpike maneuver. StatPearls [Internet]. StatPearls Publishing Updated September 5, 2021. Accessed December 6, 2021. www.ncbi.nlm.nih.gov/books/NBK459307/
72. Molnar FJ, Benjamin S, Hawkins SA, et al. One size does not fit all: choosing practical cognitive screening tools for your practice. J Am Geriatr Soc. 2020;68:2207-2213. doi: 10.1111/jgs.16713
73. Gillespie LD, Robertson MC, Gillespie WJ, et al. Interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2012:CD007146. doi: 10.1002/14651858.CD007146.pub3
74. Wongrakpanich S, Wongrakpanich A, Melhado K, Rangaswami J. A comprehensive review of non-steroidal anti-inflammatory drug use in the elderly. Aging Dis. 2018;9:143-150. doi: 10.14336/AD.2017.0306
75. Poe SS, Cvach M, Dawson PB, Straus H, Hill EE. The Johns Hopkins Fall Risk Assessment Tool: postimplementation evaluation. J Nurs Care Qual. 2007;22:293-298. doi: 10.1097/01.NCQ.0000290408.74027.39
76. Poe SS, Dawson PB, Cvach M, et al. The Johns Hopkins Fall Risk Assessment Tool: a study of reliability and validity. J Nurs Care Qual. 2018;33:10-19. doi: 10.1097/NCQ.0000000000000301
77. Klinkenberg WD, Potter P. Validity of the Johns Hopkins Fall Risk Assessment Tool for predicting falls on inpatient medicine services. J Nurs Care Qual. 2017;32:108-113. doi: 10.1097/NCQ.0000000000000210
78. Stapleton C, Hough P, Oldmeadow L, et al. Four-item fall risk screening tool for subacute and residential aged care: the first step in fall prevention. Australas J Ageing. 2009;28:139-143. doi: 10.1111/j.1741-6612.2009.00375.x
79. Cattelani L, Palumbo P, Palmerini L, et al. FRAT-up, a Web-based fall-risk assessment tool for elderly people living in the community. J Med Internet Res. 2015;17:e41. doi: 10.2196/jmir.4064
80. De Clercq H, Naudé A, Bornman J. Factors included in adult fall risk assessment tools (FRATs): a systematic review. Ageing Soc. 2020;41:2558-2582. doi: 10.1017/S0144686X2000046X
81. Yap G, Melder A. Accuracy of validated falls risk assessment tools and clinical judgement. Centre for Clinical Effectiveness, Monash Innovation and Quality. Monash Health. February 5, 2020. Accessed November 11, 2021. https://monashhealth.org/wp-content/uploads/2019/01/Rapid-Review_Falls-risk-tools-FINAL.pdf
82. Chittrakul J, Siviroj P, Sungkarat S, et al. Physical frailty and fall risk in community-dwelling older adults: a cross-sectional study. J Aging Res. 2020;2020:3964973. doi: 10.1155/2020/3964973
83. Hatcher VH, Galet C, Lilienthal M, et al. Association of clinical frailty scores with hospital readmission for falls after index admission for trauma-related injury. JAMA Netw Open. 2019;2:e1912409. doi: 10.1001/jamanetworkopen.2019.12409
84. Exercise and fall prevention programs. Government of Ontario Ministry of Health. Updated April 9, 2019. Accessed November 11. 2021. www.ontario.ca/page/exercise-and-falls-prevention-programs
85. Sherrington C, Fairhall NJ, Wallbank GK, et al. Exercise for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2019;1:CD012424. doi: 10.1002/14651858.CD012424.pub2
86. Hopewell S, Copsey B, Nicolson P, et al. Multifactorial interventions for preventing falls in older people living in the community: a systematic review and meta-analysis of 41 trials and almost 20 000 participants. Br J Sports Med. 2020;54:1340-1350. doi: 10.1136/bjsports-2019-100732
87. Jafari Z, Kolb BE, Mohajerani MH. Age-related hearing loss and tinnitus, dementia risk, and auditory amplification outcomes. Ageing Res Rev. 2019;56:100963. doi: 10.1016/j.arr.2019.100963
88. Griffiths TD, Lad M, Kumar S, et al. How can hearing loss cause dementia? Neuron. 2020;108:401-412. doi: 10.1016/j.neuron.2020.08.003
89. Martini A, Castiglione A, Bovo R, et al. Aging, cognitive load, dementia and hearing loss. Audiol Neurootol. 2014;19(suppl 1):2-5. doi: 10.1159/000371593
90. Vitkovic J, Le C, Lee S-L, et al. The contribution of hearing and hearing loss to balance control. Audiol Neurootol. 2016;21:195-202. doi: 10.1159/000445100
91. Maheu M, Behtani L, Nooristani M, et al. Vestibular function modulates the benefit of hearing aids in people with hearing loss during static postural control. Ear Hear. 2019;40:1418-1424. doi: 10.1097/AUD.0000000000000720
92. Negahban H, Bavarsad Cheshmeh Ali M, Nassadj G. Effect of hearing aids on static balance function in elderly with hearing loss. Gait Posture. 2017;58:126-129. doi: 10.1016/j.gaitpost.2017.07.112
93. Mahmoudi E, Basu T, Langa K, et al. Can hearing aids delay time to diagnosis of dementia, depression, or falls in older adults? J Am Geriatr Soc. 2019;67:2362-2369. doi: 10.1111/jgs.16109
94. Paliwal Y, Slattum PW, Ratliff SM. Chronic health conditions as a risk factor for falls among the community-dwelling US older adults: a zero-inflated regression modeling approach. Biomed Res Int. 2017;2017:5146378. doi: 10.1155/2017/5146378
95. Deandrea S, Lucenteforte E, Bravi F, et al. Risk factors for falls in community-dwelling older people: a systematic review and meta-analysis. Epidemiology. 2010;21:658-668. doi: 10.1097/EDE.0b013e3181e89905
96. Ambrose AF, Paul G, Hausdorff JM. Risk factors for falls among older adults: a review of the literature. Maturitas. 2013;75:51-61. doi: 10.1016/j.maturitas.2013.02.009
97. Stevens M, Holman CD, Bennett N. Preventing falls in older people: impact of an intervention to reduce environmental hazards in the home. J Am Geriatr Soc. 2001;49:1442-1447. doi: 10.1046/j.1532-5415.2001.4911235.x
98. Clinical resources. Centers for Disease Control and Prevention STEADI-Older Adult Fall Prevention website. 2020. Accessed November 12, 2021. www.cdc.gov/steadi/materials.html
99. ; Grossman DC, Curry SJ, Owens DK, et al. Interventions to prevent falls in community-dwelling older adults: US Preventive Services Task Force recommendation statement. JAMA. 2018;319:1696-1704. doi: 10.1001/jama.2018.3097
CASE Mr. J, a 75-year-old man, presents to your family practice reporting that he feels increasingly unsteady and slow while walking. He fell twice last year, without resulting injury. He now worries about tripping while walking around the house and relies on his spouse to run errands.
Clearly, Mr. J is experiencing a problem with balance. What management approach should you undertake to prevent him from falling?
Balance disorders are common in older people and drastically hinder quality of life.1-4 Patients often describe imbalance as vague symptoms: dizziness, unsteadiness, faintness, spinning sensations.5,6 Importantly, balance disorders disrupt normal gait and contribute to falls that are a major cause of disability and morbidity in older people. Almost 30% of people older than 65 years report 1 or more falls annually.7 Factors that increase the risk of falls include impaired mobility, previously reported falls, reduced psychological functioning, chronic medical conditions, and polypharmacy.7,8
The cause of any single case of imbalance is often multifactorial, resulting from dysfunction of multiple body systems (TABLE 17-56); in our clinical experience, most patients with imbalance and who are at risk of falls do not have a detectable deficit of the vestibular system. These alterations in function arise in 3 key systems—vision, proprioception, and vestibular function—which signal to, and are incorporated by, the cerebellum to mediate balance. Cognitive and neurologic decline are also factors in imbalance.
Considering that 20% of falls result in serious injury in older populations, it is important to identify balance disorders and implement preventive strategies to mitigate harmful consequences of falls on patients’ health and independence.7,57 In this article, we answer the question that the case presentation raises about the proper management approach to imbalance in family practice, including assessment of risk and rehabilitation strategies to reduce the risk of falls. Our insights and recommendations are based on our clinical experience and a review of the medical literature from the past 40 years.
CASE Mr. J has a history of hypertension, age-related hearing loss, and osteoarthritis of the knees; he has not had surgery for the arthritis. His medications are antihypertensives and extra-strength acetaminophen for knee pain.
Making the diagnosis of a balance disorder
History
A thorough clinical history, often including a collateral history from caregivers, narrows the differential diagnosis. Information regarding onset, duration, timing, character, and previous episodes of imbalance is essential. Symptoms of imbalance are often challenging for the patient to describe: They might use terms such as vertigo or dizziness, when, in fact, on further questioning, they are describing balance difficulties. Inquiry into (1) their use of assistive walking devices and (2) development or exacerbation of neurologic, musculoskeletal, auditory, visual, and mood symptoms is necessary. Note the current level of their mobility, episodes of pain or fatigue, previous falls and associated injuries, fear of falling, balance confidence, and sensations that precede falls.58
Continue to: The medical and surgical histories
The medical and surgical histories are key pieces of information. The history of smoking, alcohol habits, and substance use is relevant.
A robust medication history is essential to evaluate a patient’s risk of falling. Polypharmacy—typically, defined as taking 4 or more medications—has been repeatedly associated with a heightened risk of falls.53,59-61 Moreover, a dose-dependent association between polypharmacy and hospitalization following falls has been identified, and demonstrates that taking 10 or more medications greatly increases the risk of hospitalization.59 Studies of polypharmacy cement the importance of inquiring about medication use when assessing imbalance, particularly in older patients.
Physical examination
A focused and detailed physical examination provides insight into systems that should be investigated:
- Obtain vital signs, including orthostatic vitals to test for orthostatic hypotension62; keep in mind that symptoms of orthostatic dizziness can occur without orthostatic hypotension.
- Examine gait, which can distinguish between causes of imbalance (TABLE 2).21,40,63-70
- Perform a cardiac examination.
- Assess visual acuity and visual fields; test for nystagmus and identify any optic-nerve and retinal abnormalities.
- Evaluate lower-limb sensation, proprioception, and motor function.
- Evaluate suspected vestibular dysfunction, including dysfunction with positional testing (the Dix-Hallpike maneuver71). The patient is taken from sitting to supine while the head is rotated 45° to the tested side by the examiner. As the patient moves into a supine position, the neck is extended 30° off the table and held for at least 30 seconds. The maneuver is positive if torsional nystagmus is noted while the head is held rotated during neck extension. The maneuver is negative if the patient reports dizziness, vertigo, unsteadiness, or “pressure in the head.” Torsional nystagmus must be present to confirm a diagnosis of benign paroxysmal positional vertigo.
- If you suspect a central nervous system cause of imbalance, assess the cranial nerves, coordination, strength, and, of course, balance.
CASE
Mr. J’s physical examination showed normal vital signs without significant postural changes in blood pressure. Gait analysis revealed a slowed gait, with reduced range of motion in both knees over the entire gait cycle. Audiometry revealed symmetric moderate sensorineural hearing loss characteristic of presbycusis.
Diagnostic investigations
Consider focused investigations into imbalance based on the history and physical examination. We discourage overly broad testing and imaging; in primary care, cost and limited access to technology can bar robust investigations into causes of imbalance. However, identification of acute pathologies should prompt immediate referral to the emergency department. Furthermore, specific symptoms (TABLE 17-56) should prompt referral to specialists for assessment.
Continue to: In the emergency department...
In the emergency department and academic hospitals, key investigations can identify causes of imbalance:
- Electrocardiography and Holter monitoring test for cardiac arrhythmias.
- Echocardiography identifies structural abnormalities.
- Radiography and computed tomography are useful for detecting musculoskeletal abnormalities.
- Bone densitometry can identify osteoporosis.
- Head and spinal cord magnetic resonance imaging can be used to identify lesions of the central nervous system.
- Computed tomographic angiography of the head and neck is useful for identifying stroke, cerebral atrophy, and stenotic lesions of the carotid and vertebral arteries.
- Nerve conduction studies and levels of serum vitamin B12, hemoglobin A1C, thyroid-stimulating hormone, and random cortisol can uncover causes of peripheral neuropathy.
- Bedside cognitive screening tests can be used to measure cognitive decline.72
- Suspicion of vestibular disease requires audiometry and vestibular testing, including videonystagmography, head impulse testing, and vestibular evoked myogenic potentials.
In many cases of imbalance, no specific underlying correctable cause is discovered.
Management of imbalance
Pharmacotherapy
Targeted pharmacotherapy can be utilized in select clinical scenarios:
- Medical treatment of peripheral neuropathy should target the underlying condition.
- Cognitive behavioral therapy and antidepressants are useful for treating anxiety and depressive disorders.73
- Musculoskeletal pain can be managed with acetaminophen and topical nonsteroidal anti-inflammatory drugs (NSAIDs), using a short course of an oral NSAID when needed.74
- Cardiovascular disease management might include any of several classes of pharmacotherapy, including antiplatelet and lipid-lowering medications, antiarrhythmic drugs, and antihypertensive agents.
- Acute episodes of vertigo due to vestibular neuritis or labyrinthitis can be managed with an antiemetic.46
Surgical treatment
Surgery is infrequently considered for patients with imbalance. Examples of indications include microsurgical resection of vestibular schwannoma, resection of central nervous system tumors, lens replacement surgery for cataract, surgical management of severe spinal fracture, and hip or knee arthroplasty in select patients.
Tools for assessing the risk of falls
Scoring systems called falls risk assessment tools, or FRAT, have been developed to gauge a patient’s risk of falling. The various FRATs differ in specificity and sensitivity for predicting the risk of falls, and are typically designed for specific clinical environments, such as hospital inpatient care or long-term care facilities. Specifically, FRATs attempt to classify risk using sets of risk factors known to be associated with falls.
Continue to: Research abounds into...
Research abounds into the validity of commonly used FRATs across institutions, patient populations, and clinical environments:
The Johns Hopkins FRATa determines risk using metrics such as age, fall history, incontinence, cognition, mobility, and medications75; it is predominantly used for assessment in hospital inpatient units. This tool has been validated repeatedly.76,77
Peninsula Health FRATb stratifies patients in subacute and residential aged-care settings, based on risk factors that include recent falls, medications, psychological status, and cognition.78
FRAT-upc is a web-based tool that generates falls risk using risk factors that users input. This tool has been studied in the context of patients older than 65 years living in the community.79
Although FRATs are reasonably useful for predicting falls, their utility varies by patient population and clinical context. Moreover, it has been suggested that FRATs neglect environmental and personal factors when assessing risk by focusing primarily on bodily factors.80 Implementing a FRAT requires extensive consideration of the target population and should be accompanied by clinical judgment that is grounded in an individual patient’s circumstances.81
Continue to: Preventing falls in primary care
Preventing falls in primary care
An approach to preventing falls includes the development of individualized programs that account for frailty, a syndrome of physiologic decline associated with aging. Because frailty leads to diminished balance and mobility, a patient’s frailty index—determined using the 5 frailty phenotype criteria (exhaustion, weight loss, low physical activity, weakness, slowness)82 or the Canadian Study of Health and Aging Clinical Frailty Scale83—is a useful tool for predicting falls risk and readmission for falls following trauma-related injury. Prevention of falls in communities is critical for reducing mortality and allowing older people to maintain their independence and quality of life.
Exercise. In some areas, exercise and falls prevention programs are accessible to seniors.84 Community exercise programs that focus on balance retraining and muscle strengthening can reduce the risk of falls.73,85 The Choosing Wisely initiative of the ABIM [American Board of Internal Medicine] Foundation recommends that exercise programs be designed around an accurate functional baseline of the patient to avoid underdosed strength training.54
Multifactorial risk assessment in high-risk patients can reduce the rate of falls. Such an assessment includes examination of orthostatic blood pressure, vision and hearing, bone health, gait, activities of daily living, cognition, and environmental hazards, and enables provision of necessary interventions.73,86 Hearing amplification, specifically, correlates with enhanced postural control, slowed cognitive decline, and a reduced likelihood of falls.87-93 The mechanism behind improved balance performance might be reduced cognitive load through supporting a patient’s listening needs.88-90
Pharmacotherapy. Optimizing medications and performing a complete medication review before prescribing new medications is highly recommended to avoid unnecessary polypharmacy7,8,18,53-56 (TABLE 17-56).
Management of comorbidities associated with a higher risk of falls, including arthritis, cancer, stroke, diabetes, depression, kidney disease, chronic obstructive pulmonary disease, cognitive impairment, hypertension, and atrial fibrillation, is essential.94-96
Continue to: Home safety interventions
Home safety interventions, through occupational therapy, are important. These include removing unsafe mats and step-overs and installing nonslip strips on stairs, double-sided tape under mats, and handrails.73-97
Screening for risk of falls. The Centers for Disease Control and Prevention recommends that (1) all patients older than 65 years and (2) any patient presenting with an acute fall undergo screening for their risk of falls.98 When a patient is identified as at risk of falling, you can, when appropriate, assess modifiable risk factors and facilitate interventions.98 This strategy is supported by a 2018 statement from the US Preventive Services Task Force99 that recommends identifying high-risk patients who have:
- a history of falling
- a balance disturbance that causes a deficit of mobility or function
- poor performance on clinical tests, such as the 3-meter Timed Up and Go (TUG) assessment (www.cdc.gov/steadi/pdf/TUG_test-print.pdf).
An increased risk of falls should prompt you to refer the patient to community programs and physiotherapy in accordance with the individual’s personal goals99; a balance and vestibular physiotherapist is ideally positioned to accurately assess and manage patients at risk of falls. Specifically, the Task Force identified exercise programs and multifactorial interventions as being beneficial in preventing falls in high-risk older people.99
Balance assessment and rehabilitation in specialty centers
An individualized rehabilitation program aims to restore safe mobility by testing and addressing specific balance deficits, improving functional balance, and increasing balance confidence. Collaboration with colleagues from physiotherapy and occupational therapy aids in tailoring individualized programs.
Many tests are available to assess balance, determine the risk of falls, and guide rehabilitation:
- The timed 10-meter walk testd and the TUG test are simple assessments that measure functional mobility; both have normalized values for the risk of falls. A TUG time of ≥ 12 seconds suggests a high risk of falls.
- The 30-second chair stande evaluates functional lower-extremity strength in older patients. The test can indicate if lower-extremity strength is contributing to a patient’s imbalance.
- The modified clinical test of sensory interaction in balancef is a static balance test that measures the integrity of sensory inputs. The test can suggest if 1 or more sensory systems are compromised.
- The mini balance evaluation systems testg is similar: It can differentiate balance deficits by underlying system and allows individualization of a rehabilitation program.
- The functional gait assessmenth is a modification of the dynamic gait index that assesses postural stability during everyday dynamic activities, including tasks such as walking with head turns and pivots.
- The Berg Balance Scalei continues to be used extensively to assess balance.
Continue to: The mini balance evaluation systems test...
The mini balance evaluation systems test, functional gait index, and Berg Balance Scale all have normative age-graded values to predict fall risk.
CASE
Mr. J was referred for balance assessment and to a rehabilitation program. He underwent balance physiotherapy, including multifactorial balance assessment, joined a community exercise program, was fitted with hearing aids, and had his home environment optimized by an occupational therapist. (See examples of “home safety interventions” under “Preventing falls in primary care.”)
3 months later. Mr. J says he feels stronger on his feet. His knee pain has eased, and he is more confident walking around his home. He continues to engage in exercise programs and is comfortable running errands with his spouse.
CORRESPONDENCE
Jason A. Beyea, MD, PhD, FRCSC, Division of OtolaryngologyHead and Neck Surgery, Queen’s University, 144 Brock Street, Kingston, Ontario, Canada, K7L 5G2; [email protected]
awww.hopkinsmedicine.org/institute_nursing/models_tools/jhfrat_acute%20care%20original_6_22_17.pdf
cwww.ncbi.nlm.nih.gov/pmc/articles/PMC4376110/figure/figure14/?report=objectonly
ewww.cdc.gov/steadi/pdf/STEADI-Assessment-30Sec-508.pdf
fwww.mdapp.co/mctsib-modified-clinical-test-of-sensory-interaction-in-balance-calculator-404/
gwww.sralab.org/sites/default/files/2017-07/MiniBEST_revised_final_3_8_13.pdf
CASE Mr. J, a 75-year-old man, presents to your family practice reporting that he feels increasingly unsteady and slow while walking. He fell twice last year, without resulting injury. He now worries about tripping while walking around the house and relies on his spouse to run errands.
Clearly, Mr. J is experiencing a problem with balance. What management approach should you undertake to prevent him from falling?
Balance disorders are common in older people and drastically hinder quality of life.1-4 Patients often describe imbalance as vague symptoms: dizziness, unsteadiness, faintness, spinning sensations.5,6 Importantly, balance disorders disrupt normal gait and contribute to falls that are a major cause of disability and morbidity in older people. Almost 30% of people older than 65 years report 1 or more falls annually.7 Factors that increase the risk of falls include impaired mobility, previously reported falls, reduced psychological functioning, chronic medical conditions, and polypharmacy.7,8
The cause of any single case of imbalance is often multifactorial, resulting from dysfunction of multiple body systems (TABLE 17-56); in our clinical experience, most patients with imbalance and who are at risk of falls do not have a detectable deficit of the vestibular system. These alterations in function arise in 3 key systems—vision, proprioception, and vestibular function—which signal to, and are incorporated by, the cerebellum to mediate balance. Cognitive and neurologic decline are also factors in imbalance.
Considering that 20% of falls result in serious injury in older populations, it is important to identify balance disorders and implement preventive strategies to mitigate harmful consequences of falls on patients’ health and independence.7,57 In this article, we answer the question that the case presentation raises about the proper management approach to imbalance in family practice, including assessment of risk and rehabilitation strategies to reduce the risk of falls. Our insights and recommendations are based on our clinical experience and a review of the medical literature from the past 40 years.
CASE Mr. J has a history of hypertension, age-related hearing loss, and osteoarthritis of the knees; he has not had surgery for the arthritis. His medications are antihypertensives and extra-strength acetaminophen for knee pain.
Making the diagnosis of a balance disorder
History
A thorough clinical history, often including a collateral history from caregivers, narrows the differential diagnosis. Information regarding onset, duration, timing, character, and previous episodes of imbalance is essential. Symptoms of imbalance are often challenging for the patient to describe: They might use terms such as vertigo or dizziness, when, in fact, on further questioning, they are describing balance difficulties. Inquiry into (1) their use of assistive walking devices and (2) development or exacerbation of neurologic, musculoskeletal, auditory, visual, and mood symptoms is necessary. Note the current level of their mobility, episodes of pain or fatigue, previous falls and associated injuries, fear of falling, balance confidence, and sensations that precede falls.58
Continue to: The medical and surgical histories
The medical and surgical histories are key pieces of information. The history of smoking, alcohol habits, and substance use is relevant.
A robust medication history is essential to evaluate a patient’s risk of falling. Polypharmacy—typically, defined as taking 4 or more medications—has been repeatedly associated with a heightened risk of falls.53,59-61 Moreover, a dose-dependent association between polypharmacy and hospitalization following falls has been identified, and demonstrates that taking 10 or more medications greatly increases the risk of hospitalization.59 Studies of polypharmacy cement the importance of inquiring about medication use when assessing imbalance, particularly in older patients.
Physical examination
A focused and detailed physical examination provides insight into systems that should be investigated:
- Obtain vital signs, including orthostatic vitals to test for orthostatic hypotension62; keep in mind that symptoms of orthostatic dizziness can occur without orthostatic hypotension.
- Examine gait, which can distinguish between causes of imbalance (TABLE 2).21,40,63-70
- Perform a cardiac examination.
- Assess visual acuity and visual fields; test for nystagmus and identify any optic-nerve and retinal abnormalities.
- Evaluate lower-limb sensation, proprioception, and motor function.
- Evaluate suspected vestibular dysfunction, including dysfunction with positional testing (the Dix-Hallpike maneuver71). The patient is taken from sitting to supine while the head is rotated 45° to the tested side by the examiner. As the patient moves into a supine position, the neck is extended 30° off the table and held for at least 30 seconds. The maneuver is positive if torsional nystagmus is noted while the head is held rotated during neck extension. The maneuver is negative if the patient reports dizziness, vertigo, unsteadiness, or “pressure in the head.” Torsional nystagmus must be present to confirm a diagnosis of benign paroxysmal positional vertigo.
- If you suspect a central nervous system cause of imbalance, assess the cranial nerves, coordination, strength, and, of course, balance.
CASE
Mr. J’s physical examination showed normal vital signs without significant postural changes in blood pressure. Gait analysis revealed a slowed gait, with reduced range of motion in both knees over the entire gait cycle. Audiometry revealed symmetric moderate sensorineural hearing loss characteristic of presbycusis.
Diagnostic investigations
Consider focused investigations into imbalance based on the history and physical examination. We discourage overly broad testing and imaging; in primary care, cost and limited access to technology can bar robust investigations into causes of imbalance. However, identification of acute pathologies should prompt immediate referral to the emergency department. Furthermore, specific symptoms (TABLE 17-56) should prompt referral to specialists for assessment.
Continue to: In the emergency department...
In the emergency department and academic hospitals, key investigations can identify causes of imbalance:
- Electrocardiography and Holter monitoring test for cardiac arrhythmias.
- Echocardiography identifies structural abnormalities.
- Radiography and computed tomography are useful for detecting musculoskeletal abnormalities.
- Bone densitometry can identify osteoporosis.
- Head and spinal cord magnetic resonance imaging can be used to identify lesions of the central nervous system.
- Computed tomographic angiography of the head and neck is useful for identifying stroke, cerebral atrophy, and stenotic lesions of the carotid and vertebral arteries.
- Nerve conduction studies and levels of serum vitamin B12, hemoglobin A1C, thyroid-stimulating hormone, and random cortisol can uncover causes of peripheral neuropathy.
- Bedside cognitive screening tests can be used to measure cognitive decline.72
- Suspicion of vestibular disease requires audiometry and vestibular testing, including videonystagmography, head impulse testing, and vestibular evoked myogenic potentials.
In many cases of imbalance, no specific underlying correctable cause is discovered.
Management of imbalance
Pharmacotherapy
Targeted pharmacotherapy can be utilized in select clinical scenarios:
- Medical treatment of peripheral neuropathy should target the underlying condition.
- Cognitive behavioral therapy and antidepressants are useful for treating anxiety and depressive disorders.73
- Musculoskeletal pain can be managed with acetaminophen and topical nonsteroidal anti-inflammatory drugs (NSAIDs), using a short course of an oral NSAID when needed.74
- Cardiovascular disease management might include any of several classes of pharmacotherapy, including antiplatelet and lipid-lowering medications, antiarrhythmic drugs, and antihypertensive agents.
- Acute episodes of vertigo due to vestibular neuritis or labyrinthitis can be managed with an antiemetic.46
Surgical treatment
Surgery is infrequently considered for patients with imbalance. Examples of indications include microsurgical resection of vestibular schwannoma, resection of central nervous system tumors, lens replacement surgery for cataract, surgical management of severe spinal fracture, and hip or knee arthroplasty in select patients.
Tools for assessing the risk of falls
Scoring systems called falls risk assessment tools, or FRAT, have been developed to gauge a patient’s risk of falling. The various FRATs differ in specificity and sensitivity for predicting the risk of falls, and are typically designed for specific clinical environments, such as hospital inpatient care or long-term care facilities. Specifically, FRATs attempt to classify risk using sets of risk factors known to be associated with falls.
Continue to: Research abounds into...
Research abounds into the validity of commonly used FRATs across institutions, patient populations, and clinical environments:
The Johns Hopkins FRATa determines risk using metrics such as age, fall history, incontinence, cognition, mobility, and medications75; it is predominantly used for assessment in hospital inpatient units. This tool has been validated repeatedly.76,77
Peninsula Health FRATb stratifies patients in subacute and residential aged-care settings, based on risk factors that include recent falls, medications, psychological status, and cognition.78
FRAT-upc is a web-based tool that generates falls risk using risk factors that users input. This tool has been studied in the context of patients older than 65 years living in the community.79
Although FRATs are reasonably useful for predicting falls, their utility varies by patient population and clinical context. Moreover, it has been suggested that FRATs neglect environmental and personal factors when assessing risk by focusing primarily on bodily factors.80 Implementing a FRAT requires extensive consideration of the target population and should be accompanied by clinical judgment that is grounded in an individual patient’s circumstances.81
Continue to: Preventing falls in primary care
Preventing falls in primary care
An approach to preventing falls includes the development of individualized programs that account for frailty, a syndrome of physiologic decline associated with aging. Because frailty leads to diminished balance and mobility, a patient’s frailty index—determined using the 5 frailty phenotype criteria (exhaustion, weight loss, low physical activity, weakness, slowness)82 or the Canadian Study of Health and Aging Clinical Frailty Scale83—is a useful tool for predicting falls risk and readmission for falls following trauma-related injury. Prevention of falls in communities is critical for reducing mortality and allowing older people to maintain their independence and quality of life.
Exercise. In some areas, exercise and falls prevention programs are accessible to seniors.84 Community exercise programs that focus on balance retraining and muscle strengthening can reduce the risk of falls.73,85 The Choosing Wisely initiative of the ABIM [American Board of Internal Medicine] Foundation recommends that exercise programs be designed around an accurate functional baseline of the patient to avoid underdosed strength training.54
Multifactorial risk assessment in high-risk patients can reduce the rate of falls. Such an assessment includes examination of orthostatic blood pressure, vision and hearing, bone health, gait, activities of daily living, cognition, and environmental hazards, and enables provision of necessary interventions.73,86 Hearing amplification, specifically, correlates with enhanced postural control, slowed cognitive decline, and a reduced likelihood of falls.87-93 The mechanism behind improved balance performance might be reduced cognitive load through supporting a patient’s listening needs.88-90
Pharmacotherapy. Optimizing medications and performing a complete medication review before prescribing new medications is highly recommended to avoid unnecessary polypharmacy7,8,18,53-56 (TABLE 17-56).
Management of comorbidities associated with a higher risk of falls, including arthritis, cancer, stroke, diabetes, depression, kidney disease, chronic obstructive pulmonary disease, cognitive impairment, hypertension, and atrial fibrillation, is essential.94-96
Continue to: Home safety interventions
Home safety interventions, through occupational therapy, are important. These include removing unsafe mats and step-overs and installing nonslip strips on stairs, double-sided tape under mats, and handrails.73-97
Screening for risk of falls. The Centers for Disease Control and Prevention recommends that (1) all patients older than 65 years and (2) any patient presenting with an acute fall undergo screening for their risk of falls.98 When a patient is identified as at risk of falling, you can, when appropriate, assess modifiable risk factors and facilitate interventions.98 This strategy is supported by a 2018 statement from the US Preventive Services Task Force99 that recommends identifying high-risk patients who have:
- a history of falling
- a balance disturbance that causes a deficit of mobility or function
- poor performance on clinical tests, such as the 3-meter Timed Up and Go (TUG) assessment (www.cdc.gov/steadi/pdf/TUG_test-print.pdf).
An increased risk of falls should prompt you to refer the patient to community programs and physiotherapy in accordance with the individual’s personal goals99; a balance and vestibular physiotherapist is ideally positioned to accurately assess and manage patients at risk of falls. Specifically, the Task Force identified exercise programs and multifactorial interventions as being beneficial in preventing falls in high-risk older people.99
Balance assessment and rehabilitation in specialty centers
An individualized rehabilitation program aims to restore safe mobility by testing and addressing specific balance deficits, improving functional balance, and increasing balance confidence. Collaboration with colleagues from physiotherapy and occupational therapy aids in tailoring individualized programs.
Many tests are available to assess balance, determine the risk of falls, and guide rehabilitation:
- The timed 10-meter walk testd and the TUG test are simple assessments that measure functional mobility; both have normalized values for the risk of falls. A TUG time of ≥ 12 seconds suggests a high risk of falls.
- The 30-second chair stande evaluates functional lower-extremity strength in older patients. The test can indicate if lower-extremity strength is contributing to a patient’s imbalance.
- The modified clinical test of sensory interaction in balancef is a static balance test that measures the integrity of sensory inputs. The test can suggest if 1 or more sensory systems are compromised.
- The mini balance evaluation systems testg is similar: It can differentiate balance deficits by underlying system and allows individualization of a rehabilitation program.
- The functional gait assessmenth is a modification of the dynamic gait index that assesses postural stability during everyday dynamic activities, including tasks such as walking with head turns and pivots.
- The Berg Balance Scalei continues to be used extensively to assess balance.
Continue to: The mini balance evaluation systems test...
The mini balance evaluation systems test, functional gait index, and Berg Balance Scale all have normative age-graded values to predict fall risk.
CASE
Mr. J was referred for balance assessment and to a rehabilitation program. He underwent balance physiotherapy, including multifactorial balance assessment, joined a community exercise program, was fitted with hearing aids, and had his home environment optimized by an occupational therapist. (See examples of “home safety interventions” under “Preventing falls in primary care.”)
3 months later. Mr. J says he feels stronger on his feet. His knee pain has eased, and he is more confident walking around his home. He continues to engage in exercise programs and is comfortable running errands with his spouse.
CORRESPONDENCE
Jason A. Beyea, MD, PhD, FRCSC, Division of OtolaryngologyHead and Neck Surgery, Queen’s University, 144 Brock Street, Kingston, Ontario, Canada, K7L 5G2; [email protected]
awww.hopkinsmedicine.org/institute_nursing/models_tools/jhfrat_acute%20care%20original_6_22_17.pdf
cwww.ncbi.nlm.nih.gov/pmc/articles/PMC4376110/figure/figure14/?report=objectonly
ewww.cdc.gov/steadi/pdf/STEADI-Assessment-30Sec-508.pdf
fwww.mdapp.co/mctsib-modified-clinical-test-of-sensory-interaction-in-balance-calculator-404/
gwww.sralab.org/sites/default/files/2017-07/MiniBEST_revised_final_3_8_13.pdf
1. Larocca NG. Impact of walking impairment in multiple sclerosis: perspectives of patients and care partners. Patient. 2011;4:189-201. doi: 10.2165/11591150-000000000-00000
2. doi: 10.3390/geriatrics4020037
TB, ZF, ES, et al. The relationship of balance disorders with falling, the effect of health problems, and social life on postural balance in the elderly living in a district in Turkey. Geriatrics (Basel). 2019;4:37.3.
R, Sixt E, Landahl S, et al. Prevalence of dizziness and vertigo in an urban elderly population. J Vestib Res. 2004;14:47-52.4. Sturnieks DL, St George R, Lord SR. Balance disorders in the elderly. Neurophysiol Clin. 2008;38:467-478. doi: 10.1016/j.neucli.2008.09.001
5. Boult C, Murphy J, Sloane P, et al. The relation of dizziness to functional decline. J Am Geriatr Soc. 1991;39:858-861. doi: 10.1111/j.1532-5415.1991.tb04451.x
6. Lin HW, Bhattacharyya N. Balance disorders in the elderly: epidemiology and functional impact. Laryngoscope. 2012;122:1858-1861. doi: 10.1002/lary.23376
7. Jia H, Lubetkin EI, DeMichele K, et al. Prevalence, risk factors, and burden of disease for falls and balance or walking problems among older adults in the U.S. Prev Med. 2019;126:105737. doi: 10.1016/j.ypmed.2019.05.025
8. Al-Momani M, Al-Momani F, Alghadir AH, et al. Factors related to gait and balance deficits in older adults. Clin Interv Aging. 2016;11:1043-1049. doi: 10.2147/CIA.S112282
9. Agrawal Y, Ward BK, Minor LB. Vestibular dysfunction: prevalence, impact and need for targeted treatment. J Vestib Res. 2013;23:113-117. doi: 10.3233/VES-130498
10. Altinsoy B, Erboy F, Tanriverdi H, et al. Syncope as a presentation of acute pulmonary embolism. Ther Clin Risk Manag. 2016;12:1023-1028. doi: 10.2147/TCRM.S105722
11. Belvederi Murri M, Triolo F, Coni A, et al. Instrumental assessment of balance and gait in depression: a systematic review. Psychiatry Res. 2020;284:112687. doi: 10.1016/j.psychres.2019.112687
12. Bhattacharyya N, Gubbels SP, Schwartz SR, et al. Clinical practice guideline: benign paroxysmal positional vertigo (update). Otolaryngol Head Neck Surg. 2017;156(suppl 3):S1-S47. doi: 10.1177/0194599816689667
13. doi: 10.1186/s12875-017-0695-0
S, Schwarm S, Grevenrath P, et al. Prevalence, aetiologies and prognosis of the symptom dizziness in primary care - a systematic review. BMC Fam Pract. 2018;19:33.14. Brouwer MC, Tunkel AR, van de Beek D. Epidemiology, diagnosis, and antimicrobial treatment of acute bacterial meningitis. Clin Microbiol Rev. 2010;23:467-492. doi: 10.1128/CMR.00070-09
15. Chad DA. Lumbar spinal stenosis. Neurol Clin. 2007;25:407-418. doi: 10.1016/j.ncl.2007.01.003
16. Conrad BP, Shokat MS, Abbasi AZ, et al. Associations of self-report measures with gait, range of motion and proprioception in patients with lumbar spinal stenosis. Gait Posture. 2013;38:987-992. doi: 10.1016/j.gaitpost.2013.05.010
17. de Luna RA, Mihailovic A, Nguyen AM, et al. The association of glaucomatous visual field loss and balance. Transl Vis Sci Technol. 2017;6:8. doi: 10.1167/tvst.6.3.8
18. DiSogra RM. Common aminoglycosides and platinum-based ototoxic drugs: cochlear/vestibular side effects and incidence. Semin Hear. 2019;40:104-107. doi: 10.1055/s-0039-1684040
19. Ebersbach G, Moreau C, Gandor F, et al. Clinical syndromes: parkinsonian gait. Mov Disord. 2013;28:1552-1559. doi: 10.1002/mds.25675
20. Evans WJ. Skeletal muscle loss: cachexia, sarcopenia, and inactivity. Am J Clin Nutr. 2010;91:1123S-1127S. doi: 10.3945/ajcn.2010.28608A
21. Filli L, Sutter T, Easthope CS, et al. Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time. Sci Rep. 2018;8:4984. doi: 10.1038/s41598-018-22676-0
22. Fritz NE, Kegelmeyer DA, Kloos AD, et al. Motor performance differentiates individuals with Lewy body dementia, Parkinson’s and Alzheimer’s disease. Gait Posture. 2016;50:1-7. doi: 10.1016/j.gaitpost.2016.08.009
23. Furman JM, Jacob RG. A clinical taxonomy of dizziness and anxiety in the otoneurological setting. J Anxiety Disord. 2001;15:9-26. doi: 10.1016/s0887-6185(00)00040-2
24. Furman JM, Marcus DA, Balaban CD. Vestibular migraine: clinical aspects and pathophysiology. Lancet Neurol. 2013;12:706-715. doi: 10.1016/S1474-4422(13)70107-8
25. Gerson LW, Jarjoura D, McCord G. Risk of imbalance in elderly people with impaired hearing or vision. Age Ageing. 1989;18:31-34. doi: 10.1093/ageing/18.1.31
26. Goudakos JK, Markou KD, Franco-Vidal V, et al. Corticosteroids in the treatment of vestibular neuritis: a systematic review and meta-analysis. Otol Neurotol. 2010;31:183-189. doi: 10.1097/MAO.0b013e3181ca843d
27. Green AD, doi: 10.1001/jama.292.23.2890
CS, Bastian L, et al. Does this woman have osteoporosis? JAMA. 2004;292:2890-2900.28. Hallemans A, Ortibus E, Meire F, et al. Low vision affects dynamic stability of gait. Gait Posture. 2010;32:547-551. doi: 10.1016/j.gaitpost.2010.07.018
29. Handelsman JA. Vestibulotoxicity: strategies for clinical diagnosis and rehabilitation. Int J Audiol. 2018;57(suppl 4):S99-S107. doi: 10.1080/14992027.2018.1468092
30. Head VA, Wakerley BR. Guillain-Barré syndrome in general practice: clinical features suggestive of early diagnosis. Br J Gen Pract. 2016;66:218-219. doi: 10.3399/bjgp16X684733
31. Helbostad JL, Vereijken B, Hesseberg K, et al. Altered vision destabilizes gait in older persons. Gait Posture. 2009;30:233-238. doi: 10.1016/j.gaitpost.2009.05.004
32. Hsu W-L, Chen C-Y, Tsauo J-Y, et al. Balance control in elderly people with osteoporosis. J Formos Med Assoc. 2014;113:334-339. doi: 10.1016/j.jfma.2014.02.006
33. Kim H-S, Yun DH, Yoo SD, et al. Balance control and knee osteoarthritis severity. Ann Rehabil Med. 2011;35:701-709. doi: 10.5535/arm.2011.35.5.701
34. Li L, Simonsick EM, Ferrucci L, et al. Hearing loss and gait speed among older adults in the United States. Gait Posture. 2013;38:25-29.
35. McKeith IG, Boeve BF, Dickson DW, et al. Diagnosis and management of dementia with Lewy bodies: fourth consensus report of the DLB Consortium. Neurology. 2017;89:88-100. doi: 10.1212/WNL.0000000000004058
36. Milner KA, Funk M, Richards S, et al. Gender differences in symptom presentation associated with coronary heart disease. Am J Cardiol. 1999;84:396-399. doi: 10.1016/s0002-9149(99)00322-7
37. Paillard T, doi: 10.3109/07420528.2015.1124885
F, Bru N, et al. The impact of time of day on the gait and balance control of Alzheimer’s patients. Chronobiol Int. 2016;33:161-168.38. Paldor I, Chen AS, Kaye AH. Growth rate of vestibular schwannoma. J Clin Neurosci. 2016;32:1-8. doi: 10.1016/j.jocn.2016.05.003
39. Picorelli AMA, Hatton AL, Gane EM, et al. Balance performance in older adults with hip osteoarthritis: a systematic review. Gait Posture. 2018;65:89-99. doi: 10.1016/j.gaitpost.2018.07.001
40. Raccagni C, Nonnekes J, Bloem BR, et al. Gait and postural disorders in parkinsonism: a clinical approach. J Neurol. 2020;267:3169-3176. doi: 10.1007/s00415-019-09382-1
41. Shanmugarajah PD, Hoggard N, Currie S, et al. Alcohol-related cerebellar degeneration: not all down to toxicity? Cerebellum Ataxias. 2016;3:17. doi: 10.1186/s40673-016-0055-1
42. Shih RY, Smirniotopoulos JG. Posterior fossa tumors in adult patients. Neuroimaging Clin N Am. 2016;26:493-510. doi: 10.1016/j.nic.2016.06.003
43. Smith EE. Clinical presentations and epidemiology of vascular dementia. Clin Sci (Lond). 2017;131:1059-1068. doi: 10.1042/CS20160607
44. Streur M, Ratcliffe SJ, Ball J, et al. Symptom clusters in adults with chronic atrial fibrillation. J Cardiovasc Nurs. 2017;32:296-303. doi: 10.1097/JCN.0000000000000344
45. Strupp M, doi: 10.1097/WCO.0000000000000649
M, JA. Peripheral vestibular disorders: an update. Curr Opin Neurol. 2019;32:165-173.46. Thompson TL, Amedee R. Vertigo: a review of common peripheral and central vestibular disorders. Ochsner J. 2009;9:20-26.
47. Timar B, Timar R, doi: 10.1371/journal.pone.0154654
L, et al. The impact of diabetic neuropathy on balance and on the risk of falls in patients with type 2 diabetes mellitus: a cross-sectional study. PLoS One. 2016;11:e0154654.48. Walls R, Hockberger R, Gausche-Hill M. Peripheral nerve disorders. In: Rosen’s Emergency Medicine: Concepts and Clinical Practice. 9th ed. Elsevier, Inc; 2018:1307-1320.
49. Watson JC, Dyck PJB. Peripheral neuropathy: a practical approach to diagnosis and symptom management. Mayo Clin Proc. 2015;90:940-951. doi: 10.1016/j.mayocp.2015.05.004
50. Whitfield KC, Bourassa MW, Adamolekun B, et al. Thiamine deficiency disorders: diagnosis, prevalence, and a roadmap for global control programs. Ann N Y Acad Sci. 2018;1430:3-43. doi: 10.1111/nyas.13919
51. Wu V, Sykes EA, Beyea MM, et al. Approach to Meniere disease management. Can Fam Physician. 2019;65:463-467.
52. Yew KS, Cheng EM. Diagnosis of acute stroke. Am Fam Physician. 2015;91:528-536.
53. Seppala LJ, van de Glind EMM, Daams JG, et al; doi: 10.1016/j.jamda.2017.12.099
. Fall-risk-increasing drugs: a systematic review and meta-analysis: III. Others. J Am Med Dir Assoc. 2018;19:372.e1-372.e8.54. ABIM Foundation. Choosing wisely. Choosing Wisely website. 2021. Accessed November 11. 2021. www.choosingwisely.org/
55. Berlie HD, Garwood CL. Diabetes medications related to an increased risk of falls and fall-related morbidity in the elderly. Ann Pharmacother. 2010;44:712-717. doi: 10.1345/aph.1M551
56. Hartikainen S, doi: 10.1093/gerona/62.10.1172
E, Louhivuori K. Medication as a risk factor for falls: critical systematic review. J Gerontol A Biol Sci Med Sci. 2007;62:1172-1181.57. Khanuja K, Joki J, Bachmann G, et al. Gait and balance in the aging population: Fall prevention using innovation and technology. Maturitas. 2018;110:51-56. doi: 10.1016/j.maturitas.2018.01.021
58. Salzman B. Gait and balance disorders in older adults. Am Fam Physician. 2010;82:61-68.
59. Zaninotto P, Huang YT, Di Gessa G, et al. Polypharmacy is a risk factor for hospital admission due to a fall: evidence from the English Longitudinal Study of Ageing. BMC Public Health. 2020;20:1804. doi: 10.1186/s12889-020-09920-x
60. Morin L, Calderon doi: 10.2147/CLEP.S201614
A, Welmer AK, et al. Polypharmacy and injurious falls in older adults: a nationwide nested case-control study. Clin Epidemiol. 2019;11:483-493.61. Dhalwani NN, Fahami R, Sathanapally H, et al. Association between polypharmacy and falls in older adults: a longitudinal study from England. BMJ Open. 2017;7:e016358. doi: 10.1136/bmjopen-2017-016358
62. Arnold AC, Raj SR. Orthostatic hypotension: a practical approach to investigation and management. Can J Cardiol. 2017;33:1725-1728. doi: 10.1016/j.cjca.2017.05.007
63. Alexander NB. Differential diagnosis of gait disorders in older adults. Clin Geriatr Med. 1996;12:689-703.
64. Baker JM. Gait disorders. Am J Med. 2018;131:602-607. doi: 10.1016/j.amjmed.2017.11.051
65. Cameron MH, Wagner JM. Gait abnormalities in multiple sclerosis: pathogenesis, evaluation, and advances in treatment. Curr Neurol Neurosci Rep. 2011;11:507-515. doi: 10.1007/s11910-011-0214-y
66. Chen C-L, Chen H-C, Tang SF-T, et al. Gait performance with compensatory adaptations in stroke patients with different degrees of motor recovery. Am J Phys Med Rehabil. 2003;82:925-935. doi: 10.1097/01.PHM.0000098040.13355.B5
67. Marsden J, Harris C. Cerebellar ataxia: pathophysiology and rehabilitation. Clin Rehabil. 2011;25:195-216. doi: 10.1177/0269215510382495
68. Mirek E, Filip M, doi: 10.3389/fnins.2017.00566
W, et al. Three-dimensional trunk and lower limbs characteristics during gait in patients with Huntington’s disease. Front Neurosci. 2017;11:566.69. Paramanandam V, Lizarraga KJ, Soh D, et al. Unusual gait disorders: a phenomenological approach and classification. Expert Rev Neurother. 2019;19:119-132. doi: 10.1080/14737175.2019.1562337
70. Sahyouni R, Goshtasbi K, Mahmoodi A, et al. Chronic subdural hematoma: a historical and clinical perspective. World Neurosurg. 2017;108:948-953. doi: 10.1016/j.wneu.2017.09.064
71. Talmud JD, Coffey R, Edemekong PF. Dix Hallpike maneuver. StatPearls [Internet]. StatPearls Publishing Updated September 5, 2021. Accessed December 6, 2021. www.ncbi.nlm.nih.gov/books/NBK459307/
72. Molnar FJ, Benjamin S, Hawkins SA, et al. One size does not fit all: choosing practical cognitive screening tools for your practice. J Am Geriatr Soc. 2020;68:2207-2213. doi: 10.1111/jgs.16713
73. Gillespie LD, Robertson MC, Gillespie WJ, et al. Interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2012:CD007146. doi: 10.1002/14651858.CD007146.pub3
74. Wongrakpanich S, Wongrakpanich A, Melhado K, Rangaswami J. A comprehensive review of non-steroidal anti-inflammatory drug use in the elderly. Aging Dis. 2018;9:143-150. doi: 10.14336/AD.2017.0306
75. Poe SS, Cvach M, Dawson PB, Straus H, Hill EE. The Johns Hopkins Fall Risk Assessment Tool: postimplementation evaluation. J Nurs Care Qual. 2007;22:293-298. doi: 10.1097/01.NCQ.0000290408.74027.39
76. Poe SS, Dawson PB, Cvach M, et al. The Johns Hopkins Fall Risk Assessment Tool: a study of reliability and validity. J Nurs Care Qual. 2018;33:10-19. doi: 10.1097/NCQ.0000000000000301
77. Klinkenberg WD, Potter P. Validity of the Johns Hopkins Fall Risk Assessment Tool for predicting falls on inpatient medicine services. J Nurs Care Qual. 2017;32:108-113. doi: 10.1097/NCQ.0000000000000210
78. Stapleton C, Hough P, Oldmeadow L, et al. Four-item fall risk screening tool for subacute and residential aged care: the first step in fall prevention. Australas J Ageing. 2009;28:139-143. doi: 10.1111/j.1741-6612.2009.00375.x
79. Cattelani L, Palumbo P, Palmerini L, et al. FRAT-up, a Web-based fall-risk assessment tool for elderly people living in the community. J Med Internet Res. 2015;17:e41. doi: 10.2196/jmir.4064
80. De Clercq H, Naudé A, Bornman J. Factors included in adult fall risk assessment tools (FRATs): a systematic review. Ageing Soc. 2020;41:2558-2582. doi: 10.1017/S0144686X2000046X
81. Yap G, Melder A. Accuracy of validated falls risk assessment tools and clinical judgement. Centre for Clinical Effectiveness, Monash Innovation and Quality. Monash Health. February 5, 2020. Accessed November 11, 2021. https://monashhealth.org/wp-content/uploads/2019/01/Rapid-Review_Falls-risk-tools-FINAL.pdf
82. Chittrakul J, Siviroj P, Sungkarat S, et al. Physical frailty and fall risk in community-dwelling older adults: a cross-sectional study. J Aging Res. 2020;2020:3964973. doi: 10.1155/2020/3964973
83. Hatcher VH, Galet C, Lilienthal M, et al. Association of clinical frailty scores with hospital readmission for falls after index admission for trauma-related injury. JAMA Netw Open. 2019;2:e1912409. doi: 10.1001/jamanetworkopen.2019.12409
84. Exercise and fall prevention programs. Government of Ontario Ministry of Health. Updated April 9, 2019. Accessed November 11. 2021. www.ontario.ca/page/exercise-and-falls-prevention-programs
85. Sherrington C, Fairhall NJ, Wallbank GK, et al. Exercise for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2019;1:CD012424. doi: 10.1002/14651858.CD012424.pub2
86. Hopewell S, Copsey B, Nicolson P, et al. Multifactorial interventions for preventing falls in older people living in the community: a systematic review and meta-analysis of 41 trials and almost 20 000 participants. Br J Sports Med. 2020;54:1340-1350. doi: 10.1136/bjsports-2019-100732
87. Jafari Z, Kolb BE, Mohajerani MH. Age-related hearing loss and tinnitus, dementia risk, and auditory amplification outcomes. Ageing Res Rev. 2019;56:100963. doi: 10.1016/j.arr.2019.100963
88. Griffiths TD, Lad M, Kumar S, et al. How can hearing loss cause dementia? Neuron. 2020;108:401-412. doi: 10.1016/j.neuron.2020.08.003
89. Martini A, Castiglione A, Bovo R, et al. Aging, cognitive load, dementia and hearing loss. Audiol Neurootol. 2014;19(suppl 1):2-5. doi: 10.1159/000371593
90. Vitkovic J, Le C, Lee S-L, et al. The contribution of hearing and hearing loss to balance control. Audiol Neurootol. 2016;21:195-202. doi: 10.1159/000445100
91. Maheu M, Behtani L, Nooristani M, et al. Vestibular function modulates the benefit of hearing aids in people with hearing loss during static postural control. Ear Hear. 2019;40:1418-1424. doi: 10.1097/AUD.0000000000000720
92. Negahban H, Bavarsad Cheshmeh Ali M, Nassadj G. Effect of hearing aids on static balance function in elderly with hearing loss. Gait Posture. 2017;58:126-129. doi: 10.1016/j.gaitpost.2017.07.112
93. Mahmoudi E, Basu T, Langa K, et al. Can hearing aids delay time to diagnosis of dementia, depression, or falls in older adults? J Am Geriatr Soc. 2019;67:2362-2369. doi: 10.1111/jgs.16109
94. Paliwal Y, Slattum PW, Ratliff SM. Chronic health conditions as a risk factor for falls among the community-dwelling US older adults: a zero-inflated regression modeling approach. Biomed Res Int. 2017;2017:5146378. doi: 10.1155/2017/5146378
95. Deandrea S, Lucenteforte E, Bravi F, et al. Risk factors for falls in community-dwelling older people: a systematic review and meta-analysis. Epidemiology. 2010;21:658-668. doi: 10.1097/EDE.0b013e3181e89905
96. Ambrose AF, Paul G, Hausdorff JM. Risk factors for falls among older adults: a review of the literature. Maturitas. 2013;75:51-61. doi: 10.1016/j.maturitas.2013.02.009
97. Stevens M, Holman CD, Bennett N. Preventing falls in older people: impact of an intervention to reduce environmental hazards in the home. J Am Geriatr Soc. 2001;49:1442-1447. doi: 10.1046/j.1532-5415.2001.4911235.x
98. Clinical resources. Centers for Disease Control and Prevention STEADI-Older Adult Fall Prevention website. 2020. Accessed November 12, 2021. www.cdc.gov/steadi/materials.html
99. ; Grossman DC, Curry SJ, Owens DK, et al. Interventions to prevent falls in community-dwelling older adults: US Preventive Services Task Force recommendation statement. JAMA. 2018;319:1696-1704. doi: 10.1001/jama.2018.3097
1. Larocca NG. Impact of walking impairment in multiple sclerosis: perspectives of patients and care partners. Patient. 2011;4:189-201. doi: 10.2165/11591150-000000000-00000
2. doi: 10.3390/geriatrics4020037
TB, ZF, ES, et al. The relationship of balance disorders with falling, the effect of health problems, and social life on postural balance in the elderly living in a district in Turkey. Geriatrics (Basel). 2019;4:37.3.
R, Sixt E, Landahl S, et al. Prevalence of dizziness and vertigo in an urban elderly population. J Vestib Res. 2004;14:47-52.4. Sturnieks DL, St George R, Lord SR. Balance disorders in the elderly. Neurophysiol Clin. 2008;38:467-478. doi: 10.1016/j.neucli.2008.09.001
5. Boult C, Murphy J, Sloane P, et al. The relation of dizziness to functional decline. J Am Geriatr Soc. 1991;39:858-861. doi: 10.1111/j.1532-5415.1991.tb04451.x
6. Lin HW, Bhattacharyya N. Balance disorders in the elderly: epidemiology and functional impact. Laryngoscope. 2012;122:1858-1861. doi: 10.1002/lary.23376
7. Jia H, Lubetkin EI, DeMichele K, et al. Prevalence, risk factors, and burden of disease for falls and balance or walking problems among older adults in the U.S. Prev Med. 2019;126:105737. doi: 10.1016/j.ypmed.2019.05.025
8. Al-Momani M, Al-Momani F, Alghadir AH, et al. Factors related to gait and balance deficits in older adults. Clin Interv Aging. 2016;11:1043-1049. doi: 10.2147/CIA.S112282
9. Agrawal Y, Ward BK, Minor LB. Vestibular dysfunction: prevalence, impact and need for targeted treatment. J Vestib Res. 2013;23:113-117. doi: 10.3233/VES-130498
10. Altinsoy B, Erboy F, Tanriverdi H, et al. Syncope as a presentation of acute pulmonary embolism. Ther Clin Risk Manag. 2016;12:1023-1028. doi: 10.2147/TCRM.S105722
11. Belvederi Murri M, Triolo F, Coni A, et al. Instrumental assessment of balance and gait in depression: a systematic review. Psychiatry Res. 2020;284:112687. doi: 10.1016/j.psychres.2019.112687
12. Bhattacharyya N, Gubbels SP, Schwartz SR, et al. Clinical practice guideline: benign paroxysmal positional vertigo (update). Otolaryngol Head Neck Surg. 2017;156(suppl 3):S1-S47. doi: 10.1177/0194599816689667
13. doi: 10.1186/s12875-017-0695-0
S, Schwarm S, Grevenrath P, et al. Prevalence, aetiologies and prognosis of the symptom dizziness in primary care - a systematic review. BMC Fam Pract. 2018;19:33.14. Brouwer MC, Tunkel AR, van de Beek D. Epidemiology, diagnosis, and antimicrobial treatment of acute bacterial meningitis. Clin Microbiol Rev. 2010;23:467-492. doi: 10.1128/CMR.00070-09
15. Chad DA. Lumbar spinal stenosis. Neurol Clin. 2007;25:407-418. doi: 10.1016/j.ncl.2007.01.003
16. Conrad BP, Shokat MS, Abbasi AZ, et al. Associations of self-report measures with gait, range of motion and proprioception in patients with lumbar spinal stenosis. Gait Posture. 2013;38:987-992. doi: 10.1016/j.gaitpost.2013.05.010
17. de Luna RA, Mihailovic A, Nguyen AM, et al. The association of glaucomatous visual field loss and balance. Transl Vis Sci Technol. 2017;6:8. doi: 10.1167/tvst.6.3.8
18. DiSogra RM. Common aminoglycosides and platinum-based ototoxic drugs: cochlear/vestibular side effects and incidence. Semin Hear. 2019;40:104-107. doi: 10.1055/s-0039-1684040
19. Ebersbach G, Moreau C, Gandor F, et al. Clinical syndromes: parkinsonian gait. Mov Disord. 2013;28:1552-1559. doi: 10.1002/mds.25675
20. Evans WJ. Skeletal muscle loss: cachexia, sarcopenia, and inactivity. Am J Clin Nutr. 2010;91:1123S-1127S. doi: 10.3945/ajcn.2010.28608A
21. Filli L, Sutter T, Easthope CS, et al. Profiling walking dysfunction in multiple sclerosis: characterisation, classification and progression over time. Sci Rep. 2018;8:4984. doi: 10.1038/s41598-018-22676-0
22. Fritz NE, Kegelmeyer DA, Kloos AD, et al. Motor performance differentiates individuals with Lewy body dementia, Parkinson’s and Alzheimer’s disease. Gait Posture. 2016;50:1-7. doi: 10.1016/j.gaitpost.2016.08.009
23. Furman JM, Jacob RG. A clinical taxonomy of dizziness and anxiety in the otoneurological setting. J Anxiety Disord. 2001;15:9-26. doi: 10.1016/s0887-6185(00)00040-2
24. Furman JM, Marcus DA, Balaban CD. Vestibular migraine: clinical aspects and pathophysiology. Lancet Neurol. 2013;12:706-715. doi: 10.1016/S1474-4422(13)70107-8
25. Gerson LW, Jarjoura D, McCord G. Risk of imbalance in elderly people with impaired hearing or vision. Age Ageing. 1989;18:31-34. doi: 10.1093/ageing/18.1.31
26. Goudakos JK, Markou KD, Franco-Vidal V, et al. Corticosteroids in the treatment of vestibular neuritis: a systematic review and meta-analysis. Otol Neurotol. 2010;31:183-189. doi: 10.1097/MAO.0b013e3181ca843d
27. Green AD, doi: 10.1001/jama.292.23.2890
CS, Bastian L, et al. Does this woman have osteoporosis? JAMA. 2004;292:2890-2900.28. Hallemans A, Ortibus E, Meire F, et al. Low vision affects dynamic stability of gait. Gait Posture. 2010;32:547-551. doi: 10.1016/j.gaitpost.2010.07.018
29. Handelsman JA. Vestibulotoxicity: strategies for clinical diagnosis and rehabilitation. Int J Audiol. 2018;57(suppl 4):S99-S107. doi: 10.1080/14992027.2018.1468092
30. Head VA, Wakerley BR. Guillain-Barré syndrome in general practice: clinical features suggestive of early diagnosis. Br J Gen Pract. 2016;66:218-219. doi: 10.3399/bjgp16X684733
31. Helbostad JL, Vereijken B, Hesseberg K, et al. Altered vision destabilizes gait in older persons. Gait Posture. 2009;30:233-238. doi: 10.1016/j.gaitpost.2009.05.004
32. Hsu W-L, Chen C-Y, Tsauo J-Y, et al. Balance control in elderly people with osteoporosis. J Formos Med Assoc. 2014;113:334-339. doi: 10.1016/j.jfma.2014.02.006
33. Kim H-S, Yun DH, Yoo SD, et al. Balance control and knee osteoarthritis severity. Ann Rehabil Med. 2011;35:701-709. doi: 10.5535/arm.2011.35.5.701
34. Li L, Simonsick EM, Ferrucci L, et al. Hearing loss and gait speed among older adults in the United States. Gait Posture. 2013;38:25-29.
35. McKeith IG, Boeve BF, Dickson DW, et al. Diagnosis and management of dementia with Lewy bodies: fourth consensus report of the DLB Consortium. Neurology. 2017;89:88-100. doi: 10.1212/WNL.0000000000004058
36. Milner KA, Funk M, Richards S, et al. Gender differences in symptom presentation associated with coronary heart disease. Am J Cardiol. 1999;84:396-399. doi: 10.1016/s0002-9149(99)00322-7
37. Paillard T, doi: 10.3109/07420528.2015.1124885
F, Bru N, et al. The impact of time of day on the gait and balance control of Alzheimer’s patients. Chronobiol Int. 2016;33:161-168.38. Paldor I, Chen AS, Kaye AH. Growth rate of vestibular schwannoma. J Clin Neurosci. 2016;32:1-8. doi: 10.1016/j.jocn.2016.05.003
39. Picorelli AMA, Hatton AL, Gane EM, et al. Balance performance in older adults with hip osteoarthritis: a systematic review. Gait Posture. 2018;65:89-99. doi: 10.1016/j.gaitpost.2018.07.001
40. Raccagni C, Nonnekes J, Bloem BR, et al. Gait and postural disorders in parkinsonism: a clinical approach. J Neurol. 2020;267:3169-3176. doi: 10.1007/s00415-019-09382-1
41. Shanmugarajah PD, Hoggard N, Currie S, et al. Alcohol-related cerebellar degeneration: not all down to toxicity? Cerebellum Ataxias. 2016;3:17. doi: 10.1186/s40673-016-0055-1
42. Shih RY, Smirniotopoulos JG. Posterior fossa tumors in adult patients. Neuroimaging Clin N Am. 2016;26:493-510. doi: 10.1016/j.nic.2016.06.003
43. Smith EE. Clinical presentations and epidemiology of vascular dementia. Clin Sci (Lond). 2017;131:1059-1068. doi: 10.1042/CS20160607
44. Streur M, Ratcliffe SJ, Ball J, et al. Symptom clusters in adults with chronic atrial fibrillation. J Cardiovasc Nurs. 2017;32:296-303. doi: 10.1097/JCN.0000000000000344
45. Strupp M, doi: 10.1097/WCO.0000000000000649
M, JA. Peripheral vestibular disorders: an update. Curr Opin Neurol. 2019;32:165-173.46. Thompson TL, Amedee R. Vertigo: a review of common peripheral and central vestibular disorders. Ochsner J. 2009;9:20-26.
47. Timar B, Timar R, doi: 10.1371/journal.pone.0154654
L, et al. The impact of diabetic neuropathy on balance and on the risk of falls in patients with type 2 diabetes mellitus: a cross-sectional study. PLoS One. 2016;11:e0154654.48. Walls R, Hockberger R, Gausche-Hill M. Peripheral nerve disorders. In: Rosen’s Emergency Medicine: Concepts and Clinical Practice. 9th ed. Elsevier, Inc; 2018:1307-1320.
49. Watson JC, Dyck PJB. Peripheral neuropathy: a practical approach to diagnosis and symptom management. Mayo Clin Proc. 2015;90:940-951. doi: 10.1016/j.mayocp.2015.05.004
50. Whitfield KC, Bourassa MW, Adamolekun B, et al. Thiamine deficiency disorders: diagnosis, prevalence, and a roadmap for global control programs. Ann N Y Acad Sci. 2018;1430:3-43. doi: 10.1111/nyas.13919
51. Wu V, Sykes EA, Beyea MM, et al. Approach to Meniere disease management. Can Fam Physician. 2019;65:463-467.
52. Yew KS, Cheng EM. Diagnosis of acute stroke. Am Fam Physician. 2015;91:528-536.
53. Seppala LJ, van de Glind EMM, Daams JG, et al; doi: 10.1016/j.jamda.2017.12.099
. Fall-risk-increasing drugs: a systematic review and meta-analysis: III. Others. J Am Med Dir Assoc. 2018;19:372.e1-372.e8.54. ABIM Foundation. Choosing wisely. Choosing Wisely website. 2021. Accessed November 11. 2021. www.choosingwisely.org/
55. Berlie HD, Garwood CL. Diabetes medications related to an increased risk of falls and fall-related morbidity in the elderly. Ann Pharmacother. 2010;44:712-717. doi: 10.1345/aph.1M551
56. Hartikainen S, doi: 10.1093/gerona/62.10.1172
E, Louhivuori K. Medication as a risk factor for falls: critical systematic review. J Gerontol A Biol Sci Med Sci. 2007;62:1172-1181.57. Khanuja K, Joki J, Bachmann G, et al. Gait and balance in the aging population: Fall prevention using innovation and technology. Maturitas. 2018;110:51-56. doi: 10.1016/j.maturitas.2018.01.021
58. Salzman B. Gait and balance disorders in older adults. Am Fam Physician. 2010;82:61-68.
59. Zaninotto P, Huang YT, Di Gessa G, et al. Polypharmacy is a risk factor for hospital admission due to a fall: evidence from the English Longitudinal Study of Ageing. BMC Public Health. 2020;20:1804. doi: 10.1186/s12889-020-09920-x
60. Morin L, Calderon doi: 10.2147/CLEP.S201614
A, Welmer AK, et al. Polypharmacy and injurious falls in older adults: a nationwide nested case-control study. Clin Epidemiol. 2019;11:483-493.61. Dhalwani NN, Fahami R, Sathanapally H, et al. Association between polypharmacy and falls in older adults: a longitudinal study from England. BMJ Open. 2017;7:e016358. doi: 10.1136/bmjopen-2017-016358
62. Arnold AC, Raj SR. Orthostatic hypotension: a practical approach to investigation and management. Can J Cardiol. 2017;33:1725-1728. doi: 10.1016/j.cjca.2017.05.007
63. Alexander NB. Differential diagnosis of gait disorders in older adults. Clin Geriatr Med. 1996;12:689-703.
64. Baker JM. Gait disorders. Am J Med. 2018;131:602-607. doi: 10.1016/j.amjmed.2017.11.051
65. Cameron MH, Wagner JM. Gait abnormalities in multiple sclerosis: pathogenesis, evaluation, and advances in treatment. Curr Neurol Neurosci Rep. 2011;11:507-515. doi: 10.1007/s11910-011-0214-y
66. Chen C-L, Chen H-C, Tang SF-T, et al. Gait performance with compensatory adaptations in stroke patients with different degrees of motor recovery. Am J Phys Med Rehabil. 2003;82:925-935. doi: 10.1097/01.PHM.0000098040.13355.B5
67. Marsden J, Harris C. Cerebellar ataxia: pathophysiology and rehabilitation. Clin Rehabil. 2011;25:195-216. doi: 10.1177/0269215510382495
68. Mirek E, Filip M, doi: 10.3389/fnins.2017.00566
W, et al. Three-dimensional trunk and lower limbs characteristics during gait in patients with Huntington’s disease. Front Neurosci. 2017;11:566.69. Paramanandam V, Lizarraga KJ, Soh D, et al. Unusual gait disorders: a phenomenological approach and classification. Expert Rev Neurother. 2019;19:119-132. doi: 10.1080/14737175.2019.1562337
70. Sahyouni R, Goshtasbi K, Mahmoodi A, et al. Chronic subdural hematoma: a historical and clinical perspective. World Neurosurg. 2017;108:948-953. doi: 10.1016/j.wneu.2017.09.064
71. Talmud JD, Coffey R, Edemekong PF. Dix Hallpike maneuver. StatPearls [Internet]. StatPearls Publishing Updated September 5, 2021. Accessed December 6, 2021. www.ncbi.nlm.nih.gov/books/NBK459307/
72. Molnar FJ, Benjamin S, Hawkins SA, et al. One size does not fit all: choosing practical cognitive screening tools for your practice. J Am Geriatr Soc. 2020;68:2207-2213. doi: 10.1111/jgs.16713
73. Gillespie LD, Robertson MC, Gillespie WJ, et al. Interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2012:CD007146. doi: 10.1002/14651858.CD007146.pub3
74. Wongrakpanich S, Wongrakpanich A, Melhado K, Rangaswami J. A comprehensive review of non-steroidal anti-inflammatory drug use in the elderly. Aging Dis. 2018;9:143-150. doi: 10.14336/AD.2017.0306
75. Poe SS, Cvach M, Dawson PB, Straus H, Hill EE. The Johns Hopkins Fall Risk Assessment Tool: postimplementation evaluation. J Nurs Care Qual. 2007;22:293-298. doi: 10.1097/01.NCQ.0000290408.74027.39
76. Poe SS, Dawson PB, Cvach M, et al. The Johns Hopkins Fall Risk Assessment Tool: a study of reliability and validity. J Nurs Care Qual. 2018;33:10-19. doi: 10.1097/NCQ.0000000000000301
77. Klinkenberg WD, Potter P. Validity of the Johns Hopkins Fall Risk Assessment Tool for predicting falls on inpatient medicine services. J Nurs Care Qual. 2017;32:108-113. doi: 10.1097/NCQ.0000000000000210
78. Stapleton C, Hough P, Oldmeadow L, et al. Four-item fall risk screening tool for subacute and residential aged care: the first step in fall prevention. Australas J Ageing. 2009;28:139-143. doi: 10.1111/j.1741-6612.2009.00375.x
79. Cattelani L, Palumbo P, Palmerini L, et al. FRAT-up, a Web-based fall-risk assessment tool for elderly people living in the community. J Med Internet Res. 2015;17:e41. doi: 10.2196/jmir.4064
80. De Clercq H, Naudé A, Bornman J. Factors included in adult fall risk assessment tools (FRATs): a systematic review. Ageing Soc. 2020;41:2558-2582. doi: 10.1017/S0144686X2000046X
81. Yap G, Melder A. Accuracy of validated falls risk assessment tools and clinical judgement. Centre for Clinical Effectiveness, Monash Innovation and Quality. Monash Health. February 5, 2020. Accessed November 11, 2021. https://monashhealth.org/wp-content/uploads/2019/01/Rapid-Review_Falls-risk-tools-FINAL.pdf
82. Chittrakul J, Siviroj P, Sungkarat S, et al. Physical frailty and fall risk in community-dwelling older adults: a cross-sectional study. J Aging Res. 2020;2020:3964973. doi: 10.1155/2020/3964973
83. Hatcher VH, Galet C, Lilienthal M, et al. Association of clinical frailty scores with hospital readmission for falls after index admission for trauma-related injury. JAMA Netw Open. 2019;2:e1912409. doi: 10.1001/jamanetworkopen.2019.12409
84. Exercise and fall prevention programs. Government of Ontario Ministry of Health. Updated April 9, 2019. Accessed November 11. 2021. www.ontario.ca/page/exercise-and-falls-prevention-programs
85. Sherrington C, Fairhall NJ, Wallbank GK, et al. Exercise for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2019;1:CD012424. doi: 10.1002/14651858.CD012424.pub2
86. Hopewell S, Copsey B, Nicolson P, et al. Multifactorial interventions for preventing falls in older people living in the community: a systematic review and meta-analysis of 41 trials and almost 20 000 participants. Br J Sports Med. 2020;54:1340-1350. doi: 10.1136/bjsports-2019-100732
87. Jafari Z, Kolb BE, Mohajerani MH. Age-related hearing loss and tinnitus, dementia risk, and auditory amplification outcomes. Ageing Res Rev. 2019;56:100963. doi: 10.1016/j.arr.2019.100963
88. Griffiths TD, Lad M, Kumar S, et al. How can hearing loss cause dementia? Neuron. 2020;108:401-412. doi: 10.1016/j.neuron.2020.08.003
89. Martini A, Castiglione A, Bovo R, et al. Aging, cognitive load, dementia and hearing loss. Audiol Neurootol. 2014;19(suppl 1):2-5. doi: 10.1159/000371593
90. Vitkovic J, Le C, Lee S-L, et al. The contribution of hearing and hearing loss to balance control. Audiol Neurootol. 2016;21:195-202. doi: 10.1159/000445100
91. Maheu M, Behtani L, Nooristani M, et al. Vestibular function modulates the benefit of hearing aids in people with hearing loss during static postural control. Ear Hear. 2019;40:1418-1424. doi: 10.1097/AUD.0000000000000720
92. Negahban H, Bavarsad Cheshmeh Ali M, Nassadj G. Effect of hearing aids on static balance function in elderly with hearing loss. Gait Posture. 2017;58:126-129. doi: 10.1016/j.gaitpost.2017.07.112
93. Mahmoudi E, Basu T, Langa K, et al. Can hearing aids delay time to diagnosis of dementia, depression, or falls in older adults? J Am Geriatr Soc. 2019;67:2362-2369. doi: 10.1111/jgs.16109
94. Paliwal Y, Slattum PW, Ratliff SM. Chronic health conditions as a risk factor for falls among the community-dwelling US older adults: a zero-inflated regression modeling approach. Biomed Res Int. 2017;2017:5146378. doi: 10.1155/2017/5146378
95. Deandrea S, Lucenteforte E, Bravi F, et al. Risk factors for falls in community-dwelling older people: a systematic review and meta-analysis. Epidemiology. 2010;21:658-668. doi: 10.1097/EDE.0b013e3181e89905
96. Ambrose AF, Paul G, Hausdorff JM. Risk factors for falls among older adults: a review of the literature. Maturitas. 2013;75:51-61. doi: 10.1016/j.maturitas.2013.02.009
97. Stevens M, Holman CD, Bennett N. Preventing falls in older people: impact of an intervention to reduce environmental hazards in the home. J Am Geriatr Soc. 2001;49:1442-1447. doi: 10.1046/j.1532-5415.2001.4911235.x
98. Clinical resources. Centers for Disease Control and Prevention STEADI-Older Adult Fall Prevention website. 2020. Accessed November 12, 2021. www.cdc.gov/steadi/materials.html
99. ; Grossman DC, Curry SJ, Owens DK, et al. Interventions to prevent falls in community-dwelling older adults: US Preventive Services Task Force recommendation statement. JAMA. 2018;319:1696-1704. doi: 10.1001/jama.2018.3097
PRACTICE RECOMMENDATIONS
› Utilize a falls-prevention program for older patients that focuses on balance and functional exercises. A
› Perform a multifactorial assessment of the risk of falls in older patients that includes optimizing medications, managing comorbidities, and addressing environmental hazards. B
› Use a systems-based approach to presentations of imbalance to direct your clinical judgment and highlight the need for referral to specialists for management and rehabilitation. C
Strength of recommendation (SOR)
A Good-quality patient-oriented evidence
B Inconsistent or limited-quality patient-oriented evidence
C Consensus, usual practice, opinion, disease-oriented evidence, case series
How safe is a drug holiday from bisphosphonates for osteoporosis?
Researchers found a small but greater risk of a hip fracture after 2 years of taking a “drug holiday” – stopping therapy – after long-term (≥3-year) use of one bisphosphonate, risedronate, versus another, alendronate.
The risk of a hip fracture after stopping either of these oral bisphosphonate osteoporosis drugs was similar until 2 years, suggesting that patients who take a drug holiday from risedronate should be revaluated before 2 years.
These top-line findings from a propensity-matched cohort study of older patients in Ontario, Canada, were reported at the annual American Society of Bone and Mineral Research (ASBMR) last fall.
The full study, led by Kaleen N. Hayes, PharmD, PhD, Brown University School of Public Health, Providence, R.I., was published online in the Annals of Internal Medicine.
“We emphasize that our results do not indicate that alendronate therapy should be preferred over risedronate therapy,” the researchers stress, as several real-world studies found a similar risk of fractures while patients were receiving either drug.
“The decision to initiate alendronate or risedronate therapy [the two most commonly prescribed bisphosphonates] is driven by the prescriber,” they note, adding that some patients may prefer risedronate because it is available as a monthly dose or a weekly delayed-release formula that does not require fasting.
“We found little difference in the association between risedronate versus alendronate drug holidays and hip fractures until approximately 2 years of not receiving therapy,” Dr. Hayes and colleagues summarize.
Over 3 years, risedronate drug holidays were associated with an 18% relative and 0.6% absolute increased risk for hip fracture compared with alendronate drug holidays.
“To further inform clinical decision-making on drug holidays,” they conclude, “future research should examine when to start and restart osteoporosis therapy on the basis of initial length and type of treatment, patient characteristics, and relative risk for hip fractures versus [atypical femoral fracture].”
Hip fracture risk with risedronate vs. alendronate drug holiday
Long-term bisphosphonate use is associated with a rare risk of osteonecrosis of the jaw or atypical femoral fractures. At the same time, bisphosphonates continue to have a therapeutic effect after therapy is discontinued.
Guidelines recommend that patients at low risk of fracture should therefore have a “drug holiday” after 3 to 5 years of bisphosphonate use and be reassessed 2 to 3 years later, largely based on the Fracture Intervention Trial Long-Term Extension (FLEX) study of alendronate. But risedronate has a shorter half-life, so it may provide shorter residual fracture protection.
Using Ontario administrative data, Dr. Hayes and associates identified more than 60,000 patients who were over aged 65, had received at least 3 years of continuous alendronate or risedronate, and had a subsequent 3-year drug holiday between 2000 and 2020.
They excluded patients who had a fracture or entered a nursing home within 120 days of starting a drug holiday who may have stopped the bisphosphonate due to declining health rather than a drug holiday.
Roughly half (55%) had been taking risedronate and 45% had been taking alendronate.
Using propensity scores, the researchers matched 25,077 patients who had been taking risedronate with an equal number who had been taking alendronate.
Most of the patients were women (82%) and were White.
They started the drug holiday when they were on average 81 years old, after taking the bisphosphonate for 5.9 years on average.
During the 3-year drug holiday, 915 of the 50,154 patients had hip fractures.
This was equivalent to 12.4 hip fractures per 1,000 patients per year during a risedronate holiday and 10.6 hip fractures per 1,000 patients per year during an alendronate holiday (hazard ratio, 1.18).
The risk of hip fracture was not significantly higher at 1 year (HR, 1.03) or at 2 years of a risedronate holiday versus an alendronate holiday (HR, 1.14).
However, the risk of a hip fracture was significantly higher at 2 to 3 years of a risedronate holiday than after an alendronate holiday (HR, 1.34).
There was no significant difference in the risk of any osteoporotic fracture overall (including hip, vertebrae, pelvis, ribs, forearm), however, during a 3-year risedronate versus alendronate drug holiday (HR, 1.07).
The research was supported by the Canadian Institutes of Health Research and Institute for Clinical Evaluative Sciences. Dr. Hayes was supported by a CIHR doctoral research award. The authors have reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Researchers found a small but greater risk of a hip fracture after 2 years of taking a “drug holiday” – stopping therapy – after long-term (≥3-year) use of one bisphosphonate, risedronate, versus another, alendronate.
The risk of a hip fracture after stopping either of these oral bisphosphonate osteoporosis drugs was similar until 2 years, suggesting that patients who take a drug holiday from risedronate should be revaluated before 2 years.
These top-line findings from a propensity-matched cohort study of older patients in Ontario, Canada, were reported at the annual American Society of Bone and Mineral Research (ASBMR) last fall.
The full study, led by Kaleen N. Hayes, PharmD, PhD, Brown University School of Public Health, Providence, R.I., was published online in the Annals of Internal Medicine.
“We emphasize that our results do not indicate that alendronate therapy should be preferred over risedronate therapy,” the researchers stress, as several real-world studies found a similar risk of fractures while patients were receiving either drug.
“The decision to initiate alendronate or risedronate therapy [the two most commonly prescribed bisphosphonates] is driven by the prescriber,” they note, adding that some patients may prefer risedronate because it is available as a monthly dose or a weekly delayed-release formula that does not require fasting.
“We found little difference in the association between risedronate versus alendronate drug holidays and hip fractures until approximately 2 years of not receiving therapy,” Dr. Hayes and colleagues summarize.
Over 3 years, risedronate drug holidays were associated with an 18% relative and 0.6% absolute increased risk for hip fracture compared with alendronate drug holidays.
“To further inform clinical decision-making on drug holidays,” they conclude, “future research should examine when to start and restart osteoporosis therapy on the basis of initial length and type of treatment, patient characteristics, and relative risk for hip fractures versus [atypical femoral fracture].”
Hip fracture risk with risedronate vs. alendronate drug holiday
Long-term bisphosphonate use is associated with a rare risk of osteonecrosis of the jaw or atypical femoral fractures. At the same time, bisphosphonates continue to have a therapeutic effect after therapy is discontinued.
Guidelines recommend that patients at low risk of fracture should therefore have a “drug holiday” after 3 to 5 years of bisphosphonate use and be reassessed 2 to 3 years later, largely based on the Fracture Intervention Trial Long-Term Extension (FLEX) study of alendronate. But risedronate has a shorter half-life, so it may provide shorter residual fracture protection.
Using Ontario administrative data, Dr. Hayes and associates identified more than 60,000 patients who were over aged 65, had received at least 3 years of continuous alendronate or risedronate, and had a subsequent 3-year drug holiday between 2000 and 2020.
They excluded patients who had a fracture or entered a nursing home within 120 days of starting a drug holiday who may have stopped the bisphosphonate due to declining health rather than a drug holiday.
Roughly half (55%) had been taking risedronate and 45% had been taking alendronate.
Using propensity scores, the researchers matched 25,077 patients who had been taking risedronate with an equal number who had been taking alendronate.
Most of the patients were women (82%) and were White.
They started the drug holiday when they were on average 81 years old, after taking the bisphosphonate for 5.9 years on average.
During the 3-year drug holiday, 915 of the 50,154 patients had hip fractures.
This was equivalent to 12.4 hip fractures per 1,000 patients per year during a risedronate holiday and 10.6 hip fractures per 1,000 patients per year during an alendronate holiday (hazard ratio, 1.18).
The risk of hip fracture was not significantly higher at 1 year (HR, 1.03) or at 2 years of a risedronate holiday versus an alendronate holiday (HR, 1.14).
However, the risk of a hip fracture was significantly higher at 2 to 3 years of a risedronate holiday than after an alendronate holiday (HR, 1.34).
There was no significant difference in the risk of any osteoporotic fracture overall (including hip, vertebrae, pelvis, ribs, forearm), however, during a 3-year risedronate versus alendronate drug holiday (HR, 1.07).
The research was supported by the Canadian Institutes of Health Research and Institute for Clinical Evaluative Sciences. Dr. Hayes was supported by a CIHR doctoral research award. The authors have reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Researchers found a small but greater risk of a hip fracture after 2 years of taking a “drug holiday” – stopping therapy – after long-term (≥3-year) use of one bisphosphonate, risedronate, versus another, alendronate.
The risk of a hip fracture after stopping either of these oral bisphosphonate osteoporosis drugs was similar until 2 years, suggesting that patients who take a drug holiday from risedronate should be revaluated before 2 years.
These top-line findings from a propensity-matched cohort study of older patients in Ontario, Canada, were reported at the annual American Society of Bone and Mineral Research (ASBMR) last fall.
The full study, led by Kaleen N. Hayes, PharmD, PhD, Brown University School of Public Health, Providence, R.I., was published online in the Annals of Internal Medicine.
“We emphasize that our results do not indicate that alendronate therapy should be preferred over risedronate therapy,” the researchers stress, as several real-world studies found a similar risk of fractures while patients were receiving either drug.
“The decision to initiate alendronate or risedronate therapy [the two most commonly prescribed bisphosphonates] is driven by the prescriber,” they note, adding that some patients may prefer risedronate because it is available as a monthly dose or a weekly delayed-release formula that does not require fasting.
“We found little difference in the association between risedronate versus alendronate drug holidays and hip fractures until approximately 2 years of not receiving therapy,” Dr. Hayes and colleagues summarize.
Over 3 years, risedronate drug holidays were associated with an 18% relative and 0.6% absolute increased risk for hip fracture compared with alendronate drug holidays.
“To further inform clinical decision-making on drug holidays,” they conclude, “future research should examine when to start and restart osteoporosis therapy on the basis of initial length and type of treatment, patient characteristics, and relative risk for hip fractures versus [atypical femoral fracture].”
Hip fracture risk with risedronate vs. alendronate drug holiday
Long-term bisphosphonate use is associated with a rare risk of osteonecrosis of the jaw or atypical femoral fractures. At the same time, bisphosphonates continue to have a therapeutic effect after therapy is discontinued.
Guidelines recommend that patients at low risk of fracture should therefore have a “drug holiday” after 3 to 5 years of bisphosphonate use and be reassessed 2 to 3 years later, largely based on the Fracture Intervention Trial Long-Term Extension (FLEX) study of alendronate. But risedronate has a shorter half-life, so it may provide shorter residual fracture protection.
Using Ontario administrative data, Dr. Hayes and associates identified more than 60,000 patients who were over aged 65, had received at least 3 years of continuous alendronate or risedronate, and had a subsequent 3-year drug holiday between 2000 and 2020.
They excluded patients who had a fracture or entered a nursing home within 120 days of starting a drug holiday who may have stopped the bisphosphonate due to declining health rather than a drug holiday.
Roughly half (55%) had been taking risedronate and 45% had been taking alendronate.
Using propensity scores, the researchers matched 25,077 patients who had been taking risedronate with an equal number who had been taking alendronate.
Most of the patients were women (82%) and were White.
They started the drug holiday when they were on average 81 years old, after taking the bisphosphonate for 5.9 years on average.
During the 3-year drug holiday, 915 of the 50,154 patients had hip fractures.
This was equivalent to 12.4 hip fractures per 1,000 patients per year during a risedronate holiday and 10.6 hip fractures per 1,000 patients per year during an alendronate holiday (hazard ratio, 1.18).
The risk of hip fracture was not significantly higher at 1 year (HR, 1.03) or at 2 years of a risedronate holiday versus an alendronate holiday (HR, 1.14).
However, the risk of a hip fracture was significantly higher at 2 to 3 years of a risedronate holiday than after an alendronate holiday (HR, 1.34).
There was no significant difference in the risk of any osteoporotic fracture overall (including hip, vertebrae, pelvis, ribs, forearm), however, during a 3-year risedronate versus alendronate drug holiday (HR, 1.07).
The research was supported by the Canadian Institutes of Health Research and Institute for Clinical Evaluative Sciences. Dr. Hayes was supported by a CIHR doctoral research award. The authors have reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Health issues in women midlife linked with health decline at 65
Having specific health issues, including depressive symptoms and cardiovascular disease, as a middle-aged woman was associated with experiencing clinically important declines in health later in life, a new study finds.
The most predictive parameters of poorer health at age 65 were cardiovascular disease, clinically significant depressive symptoms, and current smoking. Osteoarthritis, lower education level, and higher body mass index (BMI) also were associated with poorer health status 10 years on, Daniel H. Solomon, MD, MPH and colleagues wrote in their observational study, which was published in JAMA Network Open.
Determining a patient’s score on a health-related quality of life measure based on these variables might be useful in clinical practice to recognize midlife patients at increased risk for later health deterioration, Dr. Solomon, of the division of rheumatology, inflammation, and immunity at Brigham and Women’s Hospital, Boston, said in a statement. This measure is called the Short Form 36 (SF-36), and the researchers specifically focused on the physical component summary score (PCS) of this measure. The SF-36 is similar to the Framingham 10-year coronary heart disease risk prediction score, according to Dr. Solomon, who is a professor of medicine at Harvard Medical School, also in Boston.
Based on their risk scores, women could preemptively target modifiable risk factors before they enter old age, the investigators wrote.
“Age 55-65 may be a critical decade. A person’s health and factors during this period may set them on a path for their later adult years,” Dr. Solomon said in a statement. “The good news is that a large proportion of women at midlife are very stable and will not go on to experience declines. But being able to identify women at higher risk could help lead to interventions targeted to them.”
Study details
The study included a cohort of 1,091 women drawn from the 3,302-participant Study of Women’s Health Across the Nation (SWAN), a racially and ethnically diverse group enrolled from six U.S. sites at or immediately before transition to menopause and followed for 10 years from age 55 to 65. The study sample, consisting of 24.6% Black, 24% Japanese or Chinese, and 51.9% White, had a median baseline age of 54.8 years and median BMI of 27 kg/m2 at entry. The median baseline PCS score was 53.1 (interquartile range, 46.8-56.7).
Over 10 years, 206 (18.9%) of the women in the study experienced clinically important declines of at least 8 points in baseline characteristics at around age 55. The following were significantly associated with these declines:
- Having a higher BMI.
- Having osteoarthritis.
- Having a lower educational level.
- Being a current smoker.
- Having clinically significant depressive symptoms.
- Having cardiovascular disease.
- Having better (or higher) physical health and function score on the PCS.
The association between a higher PCS score and a greater decline might seem like an anomaly, Dr. Solomon said in an interview, but one interpretation of this finding is that women with higher or better scores at baseline have further to fall once other risk factors take effect.
With data analyzed from October 2020 to March 2021, the median 10-year change in PCS was –1.02 points, but 206 women experienced declines of 8 points or more.
Those with health declines were more likely to be Black and less likely to be Japanese. They were also more likely to have other comorbidities such as diabetes, hypertension, and osteoporosis, and to report less physical activity.
Scoring system should not replace individualized evaluation, outside expert said
Commenting on the findings, Margaret J. Nachtigall, MD, a clinical associate professor in the department of obstetrics and gynecology at New York University Langone Health, cautioned that a generalized scoring system should not replace individualized evaluation of women at midlife.
“I assess women around age 55 on a daily basis for health risk factors going forward. And while a number such as BMI can be helpful, I worry that reliance on a score could miss treating the individual,” Dr. Nachtigall said an interview. For instance, one woman might have a high BMI owing to greater muscle mass, which is heavy, while another may have a lower BMI but more fat-related weight, as well as exacerbating conditions such as hypertension that would elevate her risk. “You have to make the calculation for each person.”
Dr. Nachtigall, who was not involved in the SWAN analysis, noted, however, that a big-data scoring system might be a useful adjunct to individual patient evaluation in that “it would make physicians look at all these many risk factors to identify those prone to decline.”
Study includes racially diverse population
According to the authors, while other studies have identified similar and other risk factors such as poor sleep, most have not included such a racially diverse population and have focused on women already in their senior years when the window of opportunity may already have closed.
“As a clinician and epidemiologist, I often think about the window of opportunity at midlife, when people are vital, engaged, and resilient,” said Dr. Solomon in the statement. “If we can identify risk factors and determine who is at risk, we may be able to find interventions that can stave off health declines and help put people on a better health trajectory.”
Eric M. Ascher, DO, who practices family medicine at Lenox Hill Hospital in New York and was not involved in the SWAN research, agreed with Dr. Solomon.
“Doctors who treat chronic conditions often meet patients when they are already suffering from a medical problem,” he said in an interview. “It is key to decrease your risk factors before it is too late.”
Dr. Ascher added that many primary care providers already rely heavily on scoring systems when determining level of risk and type of intervention. “Any additional risk factor-scoring systems that are easy to implement and will prevent chronic diseases would be something providers would want to use with their patients.”
Detailed analyses of larger at-risk populations are needed to validate these risk factors and identify others, the authors said.
SWAN is supported by the National Institute on Aging, the National Institute of Nursing Research, and the National Institutes of Heath’s Office of Research on Women’s Health. Dr. Solomon reported financial ties to Amgen, AbbVie and Moderna, UpToDate, and Arthritis & Rheumatology; as well as serving on the board of directors for the Childhood Arthritis and Rheumatology Research Alliance and an advisory committee for the Food and Drug Administration outside of this work. Dr. Nachtigall and Dr. Ascher disclosed no conflicts of interest with regard to their comments.
Having specific health issues, including depressive symptoms and cardiovascular disease, as a middle-aged woman was associated with experiencing clinically important declines in health later in life, a new study finds.
The most predictive parameters of poorer health at age 65 were cardiovascular disease, clinically significant depressive symptoms, and current smoking. Osteoarthritis, lower education level, and higher body mass index (BMI) also were associated with poorer health status 10 years on, Daniel H. Solomon, MD, MPH and colleagues wrote in their observational study, which was published in JAMA Network Open.
Determining a patient’s score on a health-related quality of life measure based on these variables might be useful in clinical practice to recognize midlife patients at increased risk for later health deterioration, Dr. Solomon, of the division of rheumatology, inflammation, and immunity at Brigham and Women’s Hospital, Boston, said in a statement. This measure is called the Short Form 36 (SF-36), and the researchers specifically focused on the physical component summary score (PCS) of this measure. The SF-36 is similar to the Framingham 10-year coronary heart disease risk prediction score, according to Dr. Solomon, who is a professor of medicine at Harvard Medical School, also in Boston.
Based on their risk scores, women could preemptively target modifiable risk factors before they enter old age, the investigators wrote.
“Age 55-65 may be a critical decade. A person’s health and factors during this period may set them on a path for their later adult years,” Dr. Solomon said in a statement. “The good news is that a large proportion of women at midlife are very stable and will not go on to experience declines. But being able to identify women at higher risk could help lead to interventions targeted to them.”
Study details
The study included a cohort of 1,091 women drawn from the 3,302-participant Study of Women’s Health Across the Nation (SWAN), a racially and ethnically diverse group enrolled from six U.S. sites at or immediately before transition to menopause and followed for 10 years from age 55 to 65. The study sample, consisting of 24.6% Black, 24% Japanese or Chinese, and 51.9% White, had a median baseline age of 54.8 years and median BMI of 27 kg/m2 at entry. The median baseline PCS score was 53.1 (interquartile range, 46.8-56.7).
Over 10 years, 206 (18.9%) of the women in the study experienced clinically important declines of at least 8 points in baseline characteristics at around age 55. The following were significantly associated with these declines:
- Having a higher BMI.
- Having osteoarthritis.
- Having a lower educational level.
- Being a current smoker.
- Having clinically significant depressive symptoms.
- Having cardiovascular disease.
- Having better (or higher) physical health and function score on the PCS.
The association between a higher PCS score and a greater decline might seem like an anomaly, Dr. Solomon said in an interview, but one interpretation of this finding is that women with higher or better scores at baseline have further to fall once other risk factors take effect.
With data analyzed from October 2020 to March 2021, the median 10-year change in PCS was –1.02 points, but 206 women experienced declines of 8 points or more.
Those with health declines were more likely to be Black and less likely to be Japanese. They were also more likely to have other comorbidities such as diabetes, hypertension, and osteoporosis, and to report less physical activity.
Scoring system should not replace individualized evaluation, outside expert said
Commenting on the findings, Margaret J. Nachtigall, MD, a clinical associate professor in the department of obstetrics and gynecology at New York University Langone Health, cautioned that a generalized scoring system should not replace individualized evaluation of women at midlife.
“I assess women around age 55 on a daily basis for health risk factors going forward. And while a number such as BMI can be helpful, I worry that reliance on a score could miss treating the individual,” Dr. Nachtigall said an interview. For instance, one woman might have a high BMI owing to greater muscle mass, which is heavy, while another may have a lower BMI but more fat-related weight, as well as exacerbating conditions such as hypertension that would elevate her risk. “You have to make the calculation for each person.”
Dr. Nachtigall, who was not involved in the SWAN analysis, noted, however, that a big-data scoring system might be a useful adjunct to individual patient evaluation in that “it would make physicians look at all these many risk factors to identify those prone to decline.”
Study includes racially diverse population
According to the authors, while other studies have identified similar and other risk factors such as poor sleep, most have not included such a racially diverse population and have focused on women already in their senior years when the window of opportunity may already have closed.
“As a clinician and epidemiologist, I often think about the window of opportunity at midlife, when people are vital, engaged, and resilient,” said Dr. Solomon in the statement. “If we can identify risk factors and determine who is at risk, we may be able to find interventions that can stave off health declines and help put people on a better health trajectory.”
Eric M. Ascher, DO, who practices family medicine at Lenox Hill Hospital in New York and was not involved in the SWAN research, agreed with Dr. Solomon.
“Doctors who treat chronic conditions often meet patients when they are already suffering from a medical problem,” he said in an interview. “It is key to decrease your risk factors before it is too late.”
Dr. Ascher added that many primary care providers already rely heavily on scoring systems when determining level of risk and type of intervention. “Any additional risk factor-scoring systems that are easy to implement and will prevent chronic diseases would be something providers would want to use with their patients.”
Detailed analyses of larger at-risk populations are needed to validate these risk factors and identify others, the authors said.
SWAN is supported by the National Institute on Aging, the National Institute of Nursing Research, and the National Institutes of Heath’s Office of Research on Women’s Health. Dr. Solomon reported financial ties to Amgen, AbbVie and Moderna, UpToDate, and Arthritis & Rheumatology; as well as serving on the board of directors for the Childhood Arthritis and Rheumatology Research Alliance and an advisory committee for the Food and Drug Administration outside of this work. Dr. Nachtigall and Dr. Ascher disclosed no conflicts of interest with regard to their comments.
Having specific health issues, including depressive symptoms and cardiovascular disease, as a middle-aged woman was associated with experiencing clinically important declines in health later in life, a new study finds.
The most predictive parameters of poorer health at age 65 were cardiovascular disease, clinically significant depressive symptoms, and current smoking. Osteoarthritis, lower education level, and higher body mass index (BMI) also were associated with poorer health status 10 years on, Daniel H. Solomon, MD, MPH and colleagues wrote in their observational study, which was published in JAMA Network Open.
Determining a patient’s score on a health-related quality of life measure based on these variables might be useful in clinical practice to recognize midlife patients at increased risk for later health deterioration, Dr. Solomon, of the division of rheumatology, inflammation, and immunity at Brigham and Women’s Hospital, Boston, said in a statement. This measure is called the Short Form 36 (SF-36), and the researchers specifically focused on the physical component summary score (PCS) of this measure. The SF-36 is similar to the Framingham 10-year coronary heart disease risk prediction score, according to Dr. Solomon, who is a professor of medicine at Harvard Medical School, also in Boston.
Based on their risk scores, women could preemptively target modifiable risk factors before they enter old age, the investigators wrote.
“Age 55-65 may be a critical decade. A person’s health and factors during this period may set them on a path for their later adult years,” Dr. Solomon said in a statement. “The good news is that a large proportion of women at midlife are very stable and will not go on to experience declines. But being able to identify women at higher risk could help lead to interventions targeted to them.”
Study details
The study included a cohort of 1,091 women drawn from the 3,302-participant Study of Women’s Health Across the Nation (SWAN), a racially and ethnically diverse group enrolled from six U.S. sites at or immediately before transition to menopause and followed for 10 years from age 55 to 65. The study sample, consisting of 24.6% Black, 24% Japanese or Chinese, and 51.9% White, had a median baseline age of 54.8 years and median BMI of 27 kg/m2 at entry. The median baseline PCS score was 53.1 (interquartile range, 46.8-56.7).
Over 10 years, 206 (18.9%) of the women in the study experienced clinically important declines of at least 8 points in baseline characteristics at around age 55. The following were significantly associated with these declines:
- Having a higher BMI.
- Having osteoarthritis.
- Having a lower educational level.
- Being a current smoker.
- Having clinically significant depressive symptoms.
- Having cardiovascular disease.
- Having better (or higher) physical health and function score on the PCS.
The association between a higher PCS score and a greater decline might seem like an anomaly, Dr. Solomon said in an interview, but one interpretation of this finding is that women with higher or better scores at baseline have further to fall once other risk factors take effect.
With data analyzed from October 2020 to March 2021, the median 10-year change in PCS was –1.02 points, but 206 women experienced declines of 8 points or more.
Those with health declines were more likely to be Black and less likely to be Japanese. They were also more likely to have other comorbidities such as diabetes, hypertension, and osteoporosis, and to report less physical activity.
Scoring system should not replace individualized evaluation, outside expert said
Commenting on the findings, Margaret J. Nachtigall, MD, a clinical associate professor in the department of obstetrics and gynecology at New York University Langone Health, cautioned that a generalized scoring system should not replace individualized evaluation of women at midlife.
“I assess women around age 55 on a daily basis for health risk factors going forward. And while a number such as BMI can be helpful, I worry that reliance on a score could miss treating the individual,” Dr. Nachtigall said an interview. For instance, one woman might have a high BMI owing to greater muscle mass, which is heavy, while another may have a lower BMI but more fat-related weight, as well as exacerbating conditions such as hypertension that would elevate her risk. “You have to make the calculation for each person.”
Dr. Nachtigall, who was not involved in the SWAN analysis, noted, however, that a big-data scoring system might be a useful adjunct to individual patient evaluation in that “it would make physicians look at all these many risk factors to identify those prone to decline.”
Study includes racially diverse population
According to the authors, while other studies have identified similar and other risk factors such as poor sleep, most have not included such a racially diverse population and have focused on women already in their senior years when the window of opportunity may already have closed.
“As a clinician and epidemiologist, I often think about the window of opportunity at midlife, when people are vital, engaged, and resilient,” said Dr. Solomon in the statement. “If we can identify risk factors and determine who is at risk, we may be able to find interventions that can stave off health declines and help put people on a better health trajectory.”
Eric M. Ascher, DO, who practices family medicine at Lenox Hill Hospital in New York and was not involved in the SWAN research, agreed with Dr. Solomon.
“Doctors who treat chronic conditions often meet patients when they are already suffering from a medical problem,” he said in an interview. “It is key to decrease your risk factors before it is too late.”
Dr. Ascher added that many primary care providers already rely heavily on scoring systems when determining level of risk and type of intervention. “Any additional risk factor-scoring systems that are easy to implement and will prevent chronic diseases would be something providers would want to use with their patients.”
Detailed analyses of larger at-risk populations are needed to validate these risk factors and identify others, the authors said.
SWAN is supported by the National Institute on Aging, the National Institute of Nursing Research, and the National Institutes of Heath’s Office of Research on Women’s Health. Dr. Solomon reported financial ties to Amgen, AbbVie and Moderna, UpToDate, and Arthritis & Rheumatology; as well as serving on the board of directors for the Childhood Arthritis and Rheumatology Research Alliance and an advisory committee for the Food and Drug Administration outside of this work. Dr. Nachtigall and Dr. Ascher disclosed no conflicts of interest with regard to their comments.
FROM JAMA NETWORK OPEN
Midlife cardiovascular conditions tied to greater cognitive decline in women
Even though men in midlife have more cardiovascular (CV) conditions and risk factors than women of the same age, women are more affected by these conditions in terms of cognitive decline, new research suggests.
Analyses of almost 1,400 participants in the population-based Mayo Clinic Study of Aging showed that diabetes, dyslipidemia, and coronary heart disease (CHD) all had stronger associations with global cognitive decline in women than in men.
“All men and women should be treated for cardiovascular risk factors and conditions, but this study really highlights the importance of very early and perhaps more aggressive treatment in women with these conditions,” co-investigator Michelle M. Mielke, PhD, professor of epidemiology and neurology, Mayo Clinic, Rochester, Minn., told this news organization.
The findings were published online Jan. 5 in Neurology.
Assessing sex differences
Most previous studies in this area have focused on CV risk factors in midlife in relation to late-life dementia (after age 75) or on late-life vascular risk factors and late-life dementia, Dr. Mielke noted.
However, a few recent studies have suggested vascular risk factors can affect cognition even in midlife. The current investigators sought to determine whether there are sex differences in these associations.
They assessed 1,857 nondemented participants aged 50 to 69 years from the Mayo Clinic Study on Aging. The mean education level was 14.9 years, and the mean body mass index (BMI) was 29.7.
Among the participants, 78.9% had at least one CV condition or risk factor, and the proportion was higher in men than women (83.4% vs. 74.5%; P < .0001).
Frequency of each individual CV condition or risk factor was also higher in men than women, and they had more years of education and higher BMI but took fewer medications.
Every 15 months, participants had an in-person interview and physical examination that included a neurologic assessment and short test of memory.
The neuropsychological battery included nine tests across four domains: memory, language, executive function, and visuospatial skills. Researchers calculated z-scores for these domains and for global cognition.
Multiple cognitive domains
Whereas this study evaluated multiple cognitive domains, most previous research has focused on global cognitive decline and/or decline in only one or two cognitive domains, the investigators note.
They collected information from medical records on CV conditions such as CHD, arrhythmias, congestive heart failure, peripheral vascular disease (PVD), and stroke; and CV risk factors such as hypertension, diabetes, dyslipidemia, smoking status, and BMI.
Because of the small number of patients with stroke and PVD, these were classified as “other cardiovascular conditions” in the statistical analysis.
Researchers adjusted for sex, age, years of education, depressive symptoms, comorbidities, medications, and apolipoprotein E (APOE) genotyping. The mean follow-up was 3 years and did not differ by sex.
As some participants didn’t have a follow-up visit, the current analysis included 1,394 individuals. Those without follow-up visits were younger, had less education and more comorbidities, and took more medications compared with those with a follow-up.
Results showed most CV conditions were more strongly associated with cognitive function among women than men. For example, CHD was associated with global decline only in women (P < .05).
CHD, diabetes, and dyslipidemia were associated with language decline in women only (all, P < .05), but congestive heart failure was significantly associated with language decline in men only.
Dr. Mielke cautioned about reading too much into the language results for women.
“It’s an intriguing finding and definitely we need to follow up on it,” she said. However, “more studies are needed to examine sex differences before we start saying it only has an effect on language.”
‘Treat aggressively and right away’
The researchers were somewhat surprised by the study findings. Because there is a higher prevalence of CV conditions and risk factors in men, they presumed men would be more affected by these conditions, said Dr. Mielke.
“But that’s not what we saw; we saw the reverse. It was actually the women who were affected more by these cardiovascular risk factors and conditions,” she said.
As midlife is when women enter menopause, fluctuating estrogen levels may help explain the differential impact on cognition among women. But Dr. Mielke said she wants to “move beyond” just looking at hormones.
She pointed out there are a variety of psychosocial factors that may also contribute to an imbalance in the cognitive impact of CV conditions on women.
“Midlife is when many women are still taking care of their children at home, are also taking care of their adult parents, and may be undergoing more stress while continuing to do a job,” Dr. Miekle said.
Structural brain development and genetics may also contribute to the greater effect on cognition in women, the investigators note.
Dr. Mielke stressed that the current study only identifies associations. “The next steps are to understand what some of the underlying mechanisms for this are,” she said.
In the meantime, these new results suggest middle-aged women with high blood pressure, cholesterol, or glucose measures “should be treated aggressively and right away” said Dr. Mielke.
“For example, for women who are just starting to become hypertensive, clinicians should treat them right away and not watch and wait.”
Study limitations cited include that its sample was limited to Olmsted County, Minnesota – so results may not be generalized to other populations. Also, as researchers combined PVD and stroke into one group, larger sample sizes are needed, especially for stroke. Another limitation was the study did not have information on duration of all CV conditions or risk factors.
Helpful for tailoring interventions?
Commenting on the study, Glen R. Finney, MD, director, Memory and Cognition Program, Geisinger Health Clinic, Wilkes-Barre, Pennsylvania, said the results are important.
“The more we understand about risk factors for the development of Alzheimer’s disease and related dementias, the better we understand how we can reduce the risks,” said Dr. Finney, who was not involved with the research.
Awareness that CV conditions are major risk factors in midlife has been “definitely rising,” said Dr. Finney. “Many studies originally were looking at late life and are now looking more at earlier in the disease process, and I think that’s important.”
Understanding how sex, ethnicity, and other demographic variables affect risks can help to “tailor interventions” for individual patients, he said.
The study was supported by the National Institutes of Health, the GHR Foundation, and the Rochester Epidemiology Project. Dr. Mielke is a consultant for Biogen and Brain Protection Company and is on the editorial boards of Neurology and Alzheimer’s and Dementia. Dr. Finney has reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Even though men in midlife have more cardiovascular (CV) conditions and risk factors than women of the same age, women are more affected by these conditions in terms of cognitive decline, new research suggests.
Analyses of almost 1,400 participants in the population-based Mayo Clinic Study of Aging showed that diabetes, dyslipidemia, and coronary heart disease (CHD) all had stronger associations with global cognitive decline in women than in men.
“All men and women should be treated for cardiovascular risk factors and conditions, but this study really highlights the importance of very early and perhaps more aggressive treatment in women with these conditions,” co-investigator Michelle M. Mielke, PhD, professor of epidemiology and neurology, Mayo Clinic, Rochester, Minn., told this news organization.
The findings were published online Jan. 5 in Neurology.
Assessing sex differences
Most previous studies in this area have focused on CV risk factors in midlife in relation to late-life dementia (after age 75) or on late-life vascular risk factors and late-life dementia, Dr. Mielke noted.
However, a few recent studies have suggested vascular risk factors can affect cognition even in midlife. The current investigators sought to determine whether there are sex differences in these associations.
They assessed 1,857 nondemented participants aged 50 to 69 years from the Mayo Clinic Study on Aging. The mean education level was 14.9 years, and the mean body mass index (BMI) was 29.7.
Among the participants, 78.9% had at least one CV condition or risk factor, and the proportion was higher in men than women (83.4% vs. 74.5%; P < .0001).
Frequency of each individual CV condition or risk factor was also higher in men than women, and they had more years of education and higher BMI but took fewer medications.
Every 15 months, participants had an in-person interview and physical examination that included a neurologic assessment and short test of memory.
The neuropsychological battery included nine tests across four domains: memory, language, executive function, and visuospatial skills. Researchers calculated z-scores for these domains and for global cognition.
Multiple cognitive domains
Whereas this study evaluated multiple cognitive domains, most previous research has focused on global cognitive decline and/or decline in only one or two cognitive domains, the investigators note.
They collected information from medical records on CV conditions such as CHD, arrhythmias, congestive heart failure, peripheral vascular disease (PVD), and stroke; and CV risk factors such as hypertension, diabetes, dyslipidemia, smoking status, and BMI.
Because of the small number of patients with stroke and PVD, these were classified as “other cardiovascular conditions” in the statistical analysis.
Researchers adjusted for sex, age, years of education, depressive symptoms, comorbidities, medications, and apolipoprotein E (APOE) genotyping. The mean follow-up was 3 years and did not differ by sex.
As some participants didn’t have a follow-up visit, the current analysis included 1,394 individuals. Those without follow-up visits were younger, had less education and more comorbidities, and took more medications compared with those with a follow-up.
Results showed most CV conditions were more strongly associated with cognitive function among women than men. For example, CHD was associated with global decline only in women (P < .05).
CHD, diabetes, and dyslipidemia were associated with language decline in women only (all, P < .05), but congestive heart failure was significantly associated with language decline in men only.
Dr. Mielke cautioned about reading too much into the language results for women.
“It’s an intriguing finding and definitely we need to follow up on it,” she said. However, “more studies are needed to examine sex differences before we start saying it only has an effect on language.”
‘Treat aggressively and right away’
The researchers were somewhat surprised by the study findings. Because there is a higher prevalence of CV conditions and risk factors in men, they presumed men would be more affected by these conditions, said Dr. Mielke.
“But that’s not what we saw; we saw the reverse. It was actually the women who were affected more by these cardiovascular risk factors and conditions,” she said.
As midlife is when women enter menopause, fluctuating estrogen levels may help explain the differential impact on cognition among women. But Dr. Mielke said she wants to “move beyond” just looking at hormones.
She pointed out there are a variety of psychosocial factors that may also contribute to an imbalance in the cognitive impact of CV conditions on women.
“Midlife is when many women are still taking care of their children at home, are also taking care of their adult parents, and may be undergoing more stress while continuing to do a job,” Dr. Miekle said.
Structural brain development and genetics may also contribute to the greater effect on cognition in women, the investigators note.
Dr. Mielke stressed that the current study only identifies associations. “The next steps are to understand what some of the underlying mechanisms for this are,” she said.
In the meantime, these new results suggest middle-aged women with high blood pressure, cholesterol, or glucose measures “should be treated aggressively and right away” said Dr. Mielke.
“For example, for women who are just starting to become hypertensive, clinicians should treat them right away and not watch and wait.”
Study limitations cited include that its sample was limited to Olmsted County, Minnesota – so results may not be generalized to other populations. Also, as researchers combined PVD and stroke into one group, larger sample sizes are needed, especially for stroke. Another limitation was the study did not have information on duration of all CV conditions or risk factors.
Helpful for tailoring interventions?
Commenting on the study, Glen R. Finney, MD, director, Memory and Cognition Program, Geisinger Health Clinic, Wilkes-Barre, Pennsylvania, said the results are important.
“The more we understand about risk factors for the development of Alzheimer’s disease and related dementias, the better we understand how we can reduce the risks,” said Dr. Finney, who was not involved with the research.
Awareness that CV conditions are major risk factors in midlife has been “definitely rising,” said Dr. Finney. “Many studies originally were looking at late life and are now looking more at earlier in the disease process, and I think that’s important.”
Understanding how sex, ethnicity, and other demographic variables affect risks can help to “tailor interventions” for individual patients, he said.
The study was supported by the National Institutes of Health, the GHR Foundation, and the Rochester Epidemiology Project. Dr. Mielke is a consultant for Biogen and Brain Protection Company and is on the editorial boards of Neurology and Alzheimer’s and Dementia. Dr. Finney has reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Even though men in midlife have more cardiovascular (CV) conditions and risk factors than women of the same age, women are more affected by these conditions in terms of cognitive decline, new research suggests.
Analyses of almost 1,400 participants in the population-based Mayo Clinic Study of Aging showed that diabetes, dyslipidemia, and coronary heart disease (CHD) all had stronger associations with global cognitive decline in women than in men.
“All men and women should be treated for cardiovascular risk factors and conditions, but this study really highlights the importance of very early and perhaps more aggressive treatment in women with these conditions,” co-investigator Michelle M. Mielke, PhD, professor of epidemiology and neurology, Mayo Clinic, Rochester, Minn., told this news organization.
The findings were published online Jan. 5 in Neurology.
Assessing sex differences
Most previous studies in this area have focused on CV risk factors in midlife in relation to late-life dementia (after age 75) or on late-life vascular risk factors and late-life dementia, Dr. Mielke noted.
However, a few recent studies have suggested vascular risk factors can affect cognition even in midlife. The current investigators sought to determine whether there are sex differences in these associations.
They assessed 1,857 nondemented participants aged 50 to 69 years from the Mayo Clinic Study on Aging. The mean education level was 14.9 years, and the mean body mass index (BMI) was 29.7.
Among the participants, 78.9% had at least one CV condition or risk factor, and the proportion was higher in men than women (83.4% vs. 74.5%; P < .0001).
Frequency of each individual CV condition or risk factor was also higher in men than women, and they had more years of education and higher BMI but took fewer medications.
Every 15 months, participants had an in-person interview and physical examination that included a neurologic assessment and short test of memory.
The neuropsychological battery included nine tests across four domains: memory, language, executive function, and visuospatial skills. Researchers calculated z-scores for these domains and for global cognition.
Multiple cognitive domains
Whereas this study evaluated multiple cognitive domains, most previous research has focused on global cognitive decline and/or decline in only one or two cognitive domains, the investigators note.
They collected information from medical records on CV conditions such as CHD, arrhythmias, congestive heart failure, peripheral vascular disease (PVD), and stroke; and CV risk factors such as hypertension, diabetes, dyslipidemia, smoking status, and BMI.
Because of the small number of patients with stroke and PVD, these were classified as “other cardiovascular conditions” in the statistical analysis.
Researchers adjusted for sex, age, years of education, depressive symptoms, comorbidities, medications, and apolipoprotein E (APOE) genotyping. The mean follow-up was 3 years and did not differ by sex.
As some participants didn’t have a follow-up visit, the current analysis included 1,394 individuals. Those without follow-up visits were younger, had less education and more comorbidities, and took more medications compared with those with a follow-up.
Results showed most CV conditions were more strongly associated with cognitive function among women than men. For example, CHD was associated with global decline only in women (P < .05).
CHD, diabetes, and dyslipidemia were associated with language decline in women only (all, P < .05), but congestive heart failure was significantly associated with language decline in men only.
Dr. Mielke cautioned about reading too much into the language results for women.
“It’s an intriguing finding and definitely we need to follow up on it,” she said. However, “more studies are needed to examine sex differences before we start saying it only has an effect on language.”
‘Treat aggressively and right away’
The researchers were somewhat surprised by the study findings. Because there is a higher prevalence of CV conditions and risk factors in men, they presumed men would be more affected by these conditions, said Dr. Mielke.
“But that’s not what we saw; we saw the reverse. It was actually the women who were affected more by these cardiovascular risk factors and conditions,” she said.
As midlife is when women enter menopause, fluctuating estrogen levels may help explain the differential impact on cognition among women. But Dr. Mielke said she wants to “move beyond” just looking at hormones.
She pointed out there are a variety of psychosocial factors that may also contribute to an imbalance in the cognitive impact of CV conditions on women.
“Midlife is when many women are still taking care of their children at home, are also taking care of their adult parents, and may be undergoing more stress while continuing to do a job,” Dr. Miekle said.
Structural brain development and genetics may also contribute to the greater effect on cognition in women, the investigators note.
Dr. Mielke stressed that the current study only identifies associations. “The next steps are to understand what some of the underlying mechanisms for this are,” she said.
In the meantime, these new results suggest middle-aged women with high blood pressure, cholesterol, or glucose measures “should be treated aggressively and right away” said Dr. Mielke.
“For example, for women who are just starting to become hypertensive, clinicians should treat them right away and not watch and wait.”
Study limitations cited include that its sample was limited to Olmsted County, Minnesota – so results may not be generalized to other populations. Also, as researchers combined PVD and stroke into one group, larger sample sizes are needed, especially for stroke. Another limitation was the study did not have information on duration of all CV conditions or risk factors.
Helpful for tailoring interventions?
Commenting on the study, Glen R. Finney, MD, director, Memory and Cognition Program, Geisinger Health Clinic, Wilkes-Barre, Pennsylvania, said the results are important.
“The more we understand about risk factors for the development of Alzheimer’s disease and related dementias, the better we understand how we can reduce the risks,” said Dr. Finney, who was not involved with the research.
Awareness that CV conditions are major risk factors in midlife has been “definitely rising,” said Dr. Finney. “Many studies originally were looking at late life and are now looking more at earlier in the disease process, and I think that’s important.”
Understanding how sex, ethnicity, and other demographic variables affect risks can help to “tailor interventions” for individual patients, he said.
The study was supported by the National Institutes of Health, the GHR Foundation, and the Rochester Epidemiology Project. Dr. Mielke is a consultant for Biogen and Brain Protection Company and is on the editorial boards of Neurology and Alzheimer’s and Dementia. Dr. Finney has reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
At-home geriatric assessment offers cost-effective alternative to hospital
The comprehensive geriatric assessment (CGA) is an established strategy for guiding care of older adults in a hospital setting, but its use in other settings has not been well studied, Surya Singh, PhD, of the University of Oxford (England), and colleagues wrote in their paper published in Age and Ageing. Hospital at home is active treatment by health care professionals in the patient’s home for a condition that otherwise would require acute hospital inpatient care, for a limited time period.
Interest in providing health care in the home as an alternative to hospitalization is on the rise as a way to improve patient outcomes and reduce costs, but actual cost-effectiveness data on HAH interventions are limited, the authors said. “Wide scale implementation of such services has also been constrained by the practical difficulties of designing and delivering services that cut across primary and secondary care, might involve social care and require different workforce and funding arrangements.”
In this study, the researchers conducted a cost-effectiveness analysis alongside a randomized trial of an admission avoidance CGA hospital at home (CGAHAH) service as an alternative to hospital admission. They identified individuals aged 65 years and older who were living in the community but being considered for an unplanned hospital admission in the United Kingdom. A total of 700 individuals were randomized to CGAHAH and 355 to hospital care using a 2:1 ratio. Patients were assessed at baseline in the community or in an acute care setting before being transferred to CGAHAH service. These services included access to social workers, home care, district nursing, community rehabilitation, community mental health services and acute hospital services, such as diagnostic tests and transfer to hospital. The core workforce usually included consultant geriatricians, junior doctors, nurse practitioners, health care assistants or support workers, physiotherapists, occupational therapists, and community pharmacists. There were at least daily virtual ward rounds
Comparison between HAH and in-hospital groups
Patients in the CGAHAH group had a mean of 7.17 days of care, and those in hospital had a mean of 4.92 hospital days. At 6 months’ follow-up, the mean number of care days was 9.47 in the CGAHAH group and 10.58 in the hospital group, which was a nonsignificant difference.
“For complete cases, we found that allocation to CGAHAH resulted in 3 fewer days in hospital, a difference that was reduced to 1 day at 6 months follow-up,” the researchers wrote.
Overall, after adjusting for baseline variables, the health and social care costs after 6 months were less for CGAHAH than admission to hospital. The average cost differences between the two were approximately $3,000 or 2,265 pounds. The cost difference remained and increased to a mean difference of 2,840 pounds in favor of HAH after adding informal care/societal costs.
In addition, patients randomized to CGAHAH were less likely to have been admitted to long-term residential care at 6 months follow-up, compared with the hospital group; the mean days in residential care at 6 months were 3.43 and 6.14, respectively.
Both groups showed an approximate 15% decrease in measures of quality of life from baseline to 6 months, and no differences were noted in quality-adjusted survival between the groups.
Pandemic ‘has accelerated interest’ in HAH
“Health systems around the world are exploring alternatives to hospital admission, such as hospital at home, to act as a buffer to the increasing demand for hospital care,” corresponding author Sasha Shepperd, MSc, DPhil, said in an interview. “This is partly due to a growing older population with increased health needs, but also an emphasis on providing health care that limits a decline in capacity for the older population. Inevitably, the COVID-19 pandemic has accelerated interest in hospital at home to create additional acute health care capacity.”
The take home-message supports the home service option. “If you can access a hospital-at-home service, consider this as an option for older people who would otherwise be admitted to hospital and are eligible for hospital at home care. However, is important that the provision of hospital at home is adequately resourced, and that families and caregivers are supported,” she said.
“Barriers include delivering a different type of service that requires easy access to hospital services, including admission if required; a trained workforce to provide multidisciplinary care in a patient’s home; and ensuring a good fit with existing health and social care services,” Dr. Shepperd said.
Future research areas include the demands placed on caregivers from hospital-at-home services, and how the provision of hospital at home impacts hospital and community services, she added.
Findings support use of HAH
The data from the current study support the use of a hospital at home concept, especially in the geriatric age population, for acute health conditions that could be managed at home rather than acutely in a hospital-based environment,” Noel Deep, MD, emphasized in an interview.
Dr. Deep, who is a general internist in group practice in Antigo, Wisc., said he was not surprised by the study findings.
“I am a big proponent of the hospital at home approach to taking care of patients who can be safely and appropriately managed in the familiarity and comfort of their own home environment with help from physicians, nurses, and other home health care services,” he said. “It is a valuable option for appropriately screened and selected patients to be provided this approach to management of their acute health care situations.”
Primary care physicians should explore using HAH when faced with the decision of admitting an elderly individual to the hospital for management of an acute worsening of a chronic medical condition or a reversible acute illness, said Dr. Deep, who serves on the editorial advisory board of Internal Medicine News.
The current study reinforces previous studies and data showing the benefits of managing acute health problems of elderly individuals in their home environment. These benefits include “an opportunity to free up the emergency rooms and hospitals for providing care to those individuals who truly would be best served by being admitted to the hospital,” Dr. Deep explained. Home care for the elderly “would also lead to decreased utilization of the personal protective equipment and limit exposure of the vulnerable elderly individuals to the coronavirus. Primary care physicians should always explore this possibility of providing care to the patients in their homes if it is a viable option.
“While our practice environment [in the United States] is slightly different than that referenced in this article, many, if not almost all, of our primary care physicians provide care to the geriatric age population and provide assessment and management which would be comparable to this comprehensive geriatric assessment that is discussed in the article,” and many primary care physicians have seen similar results in outcomes that the study shows, said Dr. Deep. The available research and expert opinions are quite similar and agree upon the positive outcomes in terms of providing the CGAHAH approach.
Study is important but raises questions
The study is important because patient-centered, effective care should be the goal of any health system, William Golden, MD, of the University of Arkansas for Medical Sciences, Little Rock, said in an interview.
Dr. Golden also noted that the study raised a number of questions. How each patient entered the treatment protocol was not clear. “Similarly, it is not clear whether admission criteria and resource costs in England cross to the United States experience.”
“Having close follow up of patients at home as opposed to an ‘observation status’ could be a nice innovation, but more details are needed to consider implementation in a specific community setting,” he emphasized.
As for the clinical value of the study for primary care, “primary care professionals should welcome well-staffed alternatives to inpatient care for select patient presentations,” said Dr. Golden, who is also a member of the editorial advisory board of Internal Medicine News.
The current study does not identify the conditions that were treated at home and the logistics of delivering such services, which limits comparison with what experts have seen in practice in terms of outcomes using the CGAHAH, he said. “Interested practitioners would benefit from literature detailing the staffing and decision support tools that form the core framework of this innovation.”
Limitations and strengths of study, according to authors
The study findings were limited by several factors including the calculation of CGAHAH based on service budgets, rather than from collecting information on the actual resources used; potential errors in patients’ estimation of their informal care; and lack of data on a differential impact of CGAHAH for underserved communities, the researchers noted.
However, the results were strengthened by the large study population and randomized design, and support the value of CGAHAH, which addresses the need for management of multiple long-term conditions and the potential decline in functional and cognitive ability in older adults, they said. Providing CGAHAH as an alternative to admission to hospital for older people, with a focus on multidimensional assessment, is one option that might reduce reliance on hospitalization and residential care and at a lower cost.
The study was supported by the National Institute for Health Research, and several coauthors received individual grants from the NIHR, with no other financial conflicts to disclose. Dr. Golden and Dr. Deep had no financial conflicts to disclose.
The comprehensive geriatric assessment (CGA) is an established strategy for guiding care of older adults in a hospital setting, but its use in other settings has not been well studied, Surya Singh, PhD, of the University of Oxford (England), and colleagues wrote in their paper published in Age and Ageing. Hospital at home is active treatment by health care professionals in the patient’s home for a condition that otherwise would require acute hospital inpatient care, for a limited time period.
Interest in providing health care in the home as an alternative to hospitalization is on the rise as a way to improve patient outcomes and reduce costs, but actual cost-effectiveness data on HAH interventions are limited, the authors said. “Wide scale implementation of such services has also been constrained by the practical difficulties of designing and delivering services that cut across primary and secondary care, might involve social care and require different workforce and funding arrangements.”
In this study, the researchers conducted a cost-effectiveness analysis alongside a randomized trial of an admission avoidance CGA hospital at home (CGAHAH) service as an alternative to hospital admission. They identified individuals aged 65 years and older who were living in the community but being considered for an unplanned hospital admission in the United Kingdom. A total of 700 individuals were randomized to CGAHAH and 355 to hospital care using a 2:1 ratio. Patients were assessed at baseline in the community or in an acute care setting before being transferred to CGAHAH service. These services included access to social workers, home care, district nursing, community rehabilitation, community mental health services and acute hospital services, such as diagnostic tests and transfer to hospital. The core workforce usually included consultant geriatricians, junior doctors, nurse practitioners, health care assistants or support workers, physiotherapists, occupational therapists, and community pharmacists. There were at least daily virtual ward rounds
Comparison between HAH and in-hospital groups
Patients in the CGAHAH group had a mean of 7.17 days of care, and those in hospital had a mean of 4.92 hospital days. At 6 months’ follow-up, the mean number of care days was 9.47 in the CGAHAH group and 10.58 in the hospital group, which was a nonsignificant difference.
“For complete cases, we found that allocation to CGAHAH resulted in 3 fewer days in hospital, a difference that was reduced to 1 day at 6 months follow-up,” the researchers wrote.
Overall, after adjusting for baseline variables, the health and social care costs after 6 months were less for CGAHAH than admission to hospital. The average cost differences between the two were approximately $3,000 or 2,265 pounds. The cost difference remained and increased to a mean difference of 2,840 pounds in favor of HAH after adding informal care/societal costs.
In addition, patients randomized to CGAHAH were less likely to have been admitted to long-term residential care at 6 months follow-up, compared with the hospital group; the mean days in residential care at 6 months were 3.43 and 6.14, respectively.
Both groups showed an approximate 15% decrease in measures of quality of life from baseline to 6 months, and no differences were noted in quality-adjusted survival between the groups.
Pandemic ‘has accelerated interest’ in HAH
“Health systems around the world are exploring alternatives to hospital admission, such as hospital at home, to act as a buffer to the increasing demand for hospital care,” corresponding author Sasha Shepperd, MSc, DPhil, said in an interview. “This is partly due to a growing older population with increased health needs, but also an emphasis on providing health care that limits a decline in capacity for the older population. Inevitably, the COVID-19 pandemic has accelerated interest in hospital at home to create additional acute health care capacity.”
The take home-message supports the home service option. “If you can access a hospital-at-home service, consider this as an option for older people who would otherwise be admitted to hospital and are eligible for hospital at home care. However, is important that the provision of hospital at home is adequately resourced, and that families and caregivers are supported,” she said.
“Barriers include delivering a different type of service that requires easy access to hospital services, including admission if required; a trained workforce to provide multidisciplinary care in a patient’s home; and ensuring a good fit with existing health and social care services,” Dr. Shepperd said.
Future research areas include the demands placed on caregivers from hospital-at-home services, and how the provision of hospital at home impacts hospital and community services, she added.
Findings support use of HAH
The data from the current study support the use of a hospital at home concept, especially in the geriatric age population, for acute health conditions that could be managed at home rather than acutely in a hospital-based environment,” Noel Deep, MD, emphasized in an interview.
Dr. Deep, who is a general internist in group practice in Antigo, Wisc., said he was not surprised by the study findings.
“I am a big proponent of the hospital at home approach to taking care of patients who can be safely and appropriately managed in the familiarity and comfort of their own home environment with help from physicians, nurses, and other home health care services,” he said. “It is a valuable option for appropriately screened and selected patients to be provided this approach to management of their acute health care situations.”
Primary care physicians should explore using HAH when faced with the decision of admitting an elderly individual to the hospital for management of an acute worsening of a chronic medical condition or a reversible acute illness, said Dr. Deep, who serves on the editorial advisory board of Internal Medicine News.
The current study reinforces previous studies and data showing the benefits of managing acute health problems of elderly individuals in their home environment. These benefits include “an opportunity to free up the emergency rooms and hospitals for providing care to those individuals who truly would be best served by being admitted to the hospital,” Dr. Deep explained. Home care for the elderly “would also lead to decreased utilization of the personal protective equipment and limit exposure of the vulnerable elderly individuals to the coronavirus. Primary care physicians should always explore this possibility of providing care to the patients in their homes if it is a viable option.
“While our practice environment [in the United States] is slightly different than that referenced in this article, many, if not almost all, of our primary care physicians provide care to the geriatric age population and provide assessment and management which would be comparable to this comprehensive geriatric assessment that is discussed in the article,” and many primary care physicians have seen similar results in outcomes that the study shows, said Dr. Deep. The available research and expert opinions are quite similar and agree upon the positive outcomes in terms of providing the CGAHAH approach.
Study is important but raises questions
The study is important because patient-centered, effective care should be the goal of any health system, William Golden, MD, of the University of Arkansas for Medical Sciences, Little Rock, said in an interview.
Dr. Golden also noted that the study raised a number of questions. How each patient entered the treatment protocol was not clear. “Similarly, it is not clear whether admission criteria and resource costs in England cross to the United States experience.”
“Having close follow up of patients at home as opposed to an ‘observation status’ could be a nice innovation, but more details are needed to consider implementation in a specific community setting,” he emphasized.
As for the clinical value of the study for primary care, “primary care professionals should welcome well-staffed alternatives to inpatient care for select patient presentations,” said Dr. Golden, who is also a member of the editorial advisory board of Internal Medicine News.
The current study does not identify the conditions that were treated at home and the logistics of delivering such services, which limits comparison with what experts have seen in practice in terms of outcomes using the CGAHAH, he said. “Interested practitioners would benefit from literature detailing the staffing and decision support tools that form the core framework of this innovation.”
Limitations and strengths of study, according to authors
The study findings were limited by several factors including the calculation of CGAHAH based on service budgets, rather than from collecting information on the actual resources used; potential errors in patients’ estimation of their informal care; and lack of data on a differential impact of CGAHAH for underserved communities, the researchers noted.
However, the results were strengthened by the large study population and randomized design, and support the value of CGAHAH, which addresses the need for management of multiple long-term conditions and the potential decline in functional and cognitive ability in older adults, they said. Providing CGAHAH as an alternative to admission to hospital for older people, with a focus on multidimensional assessment, is one option that might reduce reliance on hospitalization and residential care and at a lower cost.
The study was supported by the National Institute for Health Research, and several coauthors received individual grants from the NIHR, with no other financial conflicts to disclose. Dr. Golden and Dr. Deep had no financial conflicts to disclose.
The comprehensive geriatric assessment (CGA) is an established strategy for guiding care of older adults in a hospital setting, but its use in other settings has not been well studied, Surya Singh, PhD, of the University of Oxford (England), and colleagues wrote in their paper published in Age and Ageing. Hospital at home is active treatment by health care professionals in the patient’s home for a condition that otherwise would require acute hospital inpatient care, for a limited time period.
Interest in providing health care in the home as an alternative to hospitalization is on the rise as a way to improve patient outcomes and reduce costs, but actual cost-effectiveness data on HAH interventions are limited, the authors said. “Wide scale implementation of such services has also been constrained by the practical difficulties of designing and delivering services that cut across primary and secondary care, might involve social care and require different workforce and funding arrangements.”
In this study, the researchers conducted a cost-effectiveness analysis alongside a randomized trial of an admission avoidance CGA hospital at home (CGAHAH) service as an alternative to hospital admission. They identified individuals aged 65 years and older who were living in the community but being considered for an unplanned hospital admission in the United Kingdom. A total of 700 individuals were randomized to CGAHAH and 355 to hospital care using a 2:1 ratio. Patients were assessed at baseline in the community or in an acute care setting before being transferred to CGAHAH service. These services included access to social workers, home care, district nursing, community rehabilitation, community mental health services and acute hospital services, such as diagnostic tests and transfer to hospital. The core workforce usually included consultant geriatricians, junior doctors, nurse practitioners, health care assistants or support workers, physiotherapists, occupational therapists, and community pharmacists. There were at least daily virtual ward rounds
Comparison between HAH and in-hospital groups
Patients in the CGAHAH group had a mean of 7.17 days of care, and those in hospital had a mean of 4.92 hospital days. At 6 months’ follow-up, the mean number of care days was 9.47 in the CGAHAH group and 10.58 in the hospital group, which was a nonsignificant difference.
“For complete cases, we found that allocation to CGAHAH resulted in 3 fewer days in hospital, a difference that was reduced to 1 day at 6 months follow-up,” the researchers wrote.
Overall, after adjusting for baseline variables, the health and social care costs after 6 months were less for CGAHAH than admission to hospital. The average cost differences between the two were approximately $3,000 or 2,265 pounds. The cost difference remained and increased to a mean difference of 2,840 pounds in favor of HAH after adding informal care/societal costs.
In addition, patients randomized to CGAHAH were less likely to have been admitted to long-term residential care at 6 months follow-up, compared with the hospital group; the mean days in residential care at 6 months were 3.43 and 6.14, respectively.
Both groups showed an approximate 15% decrease in measures of quality of life from baseline to 6 months, and no differences were noted in quality-adjusted survival between the groups.
Pandemic ‘has accelerated interest’ in HAH
“Health systems around the world are exploring alternatives to hospital admission, such as hospital at home, to act as a buffer to the increasing demand for hospital care,” corresponding author Sasha Shepperd, MSc, DPhil, said in an interview. “This is partly due to a growing older population with increased health needs, but also an emphasis on providing health care that limits a decline in capacity for the older population. Inevitably, the COVID-19 pandemic has accelerated interest in hospital at home to create additional acute health care capacity.”
The take home-message supports the home service option. “If you can access a hospital-at-home service, consider this as an option for older people who would otherwise be admitted to hospital and are eligible for hospital at home care. However, is important that the provision of hospital at home is adequately resourced, and that families and caregivers are supported,” she said.
“Barriers include delivering a different type of service that requires easy access to hospital services, including admission if required; a trained workforce to provide multidisciplinary care in a patient’s home; and ensuring a good fit with existing health and social care services,” Dr. Shepperd said.
Future research areas include the demands placed on caregivers from hospital-at-home services, and how the provision of hospital at home impacts hospital and community services, she added.
Findings support use of HAH
The data from the current study support the use of a hospital at home concept, especially in the geriatric age population, for acute health conditions that could be managed at home rather than acutely in a hospital-based environment,” Noel Deep, MD, emphasized in an interview.
Dr. Deep, who is a general internist in group practice in Antigo, Wisc., said he was not surprised by the study findings.
“I am a big proponent of the hospital at home approach to taking care of patients who can be safely and appropriately managed in the familiarity and comfort of their own home environment with help from physicians, nurses, and other home health care services,” he said. “It is a valuable option for appropriately screened and selected patients to be provided this approach to management of their acute health care situations.”
Primary care physicians should explore using HAH when faced with the decision of admitting an elderly individual to the hospital for management of an acute worsening of a chronic medical condition or a reversible acute illness, said Dr. Deep, who serves on the editorial advisory board of Internal Medicine News.
The current study reinforces previous studies and data showing the benefits of managing acute health problems of elderly individuals in their home environment. These benefits include “an opportunity to free up the emergency rooms and hospitals for providing care to those individuals who truly would be best served by being admitted to the hospital,” Dr. Deep explained. Home care for the elderly “would also lead to decreased utilization of the personal protective equipment and limit exposure of the vulnerable elderly individuals to the coronavirus. Primary care physicians should always explore this possibility of providing care to the patients in their homes if it is a viable option.
“While our practice environment [in the United States] is slightly different than that referenced in this article, many, if not almost all, of our primary care physicians provide care to the geriatric age population and provide assessment and management which would be comparable to this comprehensive geriatric assessment that is discussed in the article,” and many primary care physicians have seen similar results in outcomes that the study shows, said Dr. Deep. The available research and expert opinions are quite similar and agree upon the positive outcomes in terms of providing the CGAHAH approach.
Study is important but raises questions
The study is important because patient-centered, effective care should be the goal of any health system, William Golden, MD, of the University of Arkansas for Medical Sciences, Little Rock, said in an interview.
Dr. Golden also noted that the study raised a number of questions. How each patient entered the treatment protocol was not clear. “Similarly, it is not clear whether admission criteria and resource costs in England cross to the United States experience.”
“Having close follow up of patients at home as opposed to an ‘observation status’ could be a nice innovation, but more details are needed to consider implementation in a specific community setting,” he emphasized.
As for the clinical value of the study for primary care, “primary care professionals should welcome well-staffed alternatives to inpatient care for select patient presentations,” said Dr. Golden, who is also a member of the editorial advisory board of Internal Medicine News.
The current study does not identify the conditions that were treated at home and the logistics of delivering such services, which limits comparison with what experts have seen in practice in terms of outcomes using the CGAHAH, he said. “Interested practitioners would benefit from literature detailing the staffing and decision support tools that form the core framework of this innovation.”
Limitations and strengths of study, according to authors
The study findings were limited by several factors including the calculation of CGAHAH based on service budgets, rather than from collecting information on the actual resources used; potential errors in patients’ estimation of their informal care; and lack of data on a differential impact of CGAHAH for underserved communities, the researchers noted.
However, the results were strengthened by the large study population and randomized design, and support the value of CGAHAH, which addresses the need for management of multiple long-term conditions and the potential decline in functional and cognitive ability in older adults, they said. Providing CGAHAH as an alternative to admission to hospital for older people, with a focus on multidimensional assessment, is one option that might reduce reliance on hospitalization and residential care and at a lower cost.
The study was supported by the National Institute for Health Research, and several coauthors received individual grants from the NIHR, with no other financial conflicts to disclose. Dr. Golden and Dr. Deep had no financial conflicts to disclose.
FROM AGE AND AGEING
Frail COPD patients at high risk of disability and death
, a prospective cohort study of community-dwelling adults has shown.
“Frailty, a widely recognized geriatric syndrome characterized by multidimensional functional decline in bio-psycho-social factors, is associated with functional disability and mortality,” senior author Tze Pin Ng, MD, National University of Singapore, and colleagues explain.“Our results ... suggest that beyond traditional prognostic markers such as FEV1% (forced expiratory volume in 1 second) and dyspnea, the physical frailty phenotype provides additional useful prognostic information on future risks of disability and mortality,” the authors suggest.
The study was published online Dec. 12 in the journal CHEST®.
SLAS-1 and SLAS-2
Data from the Singapore Longitudinal Ageing Study (SLAS-1) and SLAS-2 were collected and analyzed. SLAS-1 recruited 2,804 participants 55 years of age and older from Sept. 2003 through Dec. 2004, while SLAS-2 recruited 3,270 participants of the same age between March 2009 and June 2013. “Follow-up visits and assessments were conducted approximately 3-5 years apart,” the investigators noted.
Mortality was determined at a mean of 9.5 years of follow-up for SLAS-1 participants and a mean of 6.5 years’ follow-up for SLAS-2 participants. A total of 4,627 participants were eventually included in the analysis, of whom 1,162 patients had COPD and 3,465 patients did not. COPD was classified as mild if FEV1% was greater than or equal to 80%; moderate if FEV1% was greater than or equal to 50% to less than 80%, and severe if FEV1% was less than 50%.
Frailty in turn was based on five clinical criteria, including weakness, slowness, low physical activity, exhaustion, and shrinking. Participants were classified as frail if they met three or more of these criteria and prefrail if they met one or two criteria.
Adverse health outcomes were judged on the basis of instrumental or basic activities of daily living (IADL/ADL), while disability was judged by self-reported difficulties in or requiring assistance with at least one IADL or ADL.
Frail or prefrail
Almost half of the participants were frail or prefrail, as the authors reported, while 25% had COPD. Among the participants with COPD, 30% had moderate to severe COPD, 6.4% had dyspnea, and almost half had prefrailty, while approximately 7% were classified as frail.
This percentage was 86% higher than it was for participants without COPD, among whom just 3.2% were assessed as frail, at an odds ratio of 1.86 (95% CI, 1.35-2.56). Further adjustments for possible confounders reduced the gap between frail COPD and frail non-COPD participants, but frailty remained significantly associated with COPD, at an OR of 1.61 (95% CI, 1.15-2.26), the investigators note.
Furthermore, compared to those without COPD, a diagnosis of COPD without and with dyspnea was associated with a 1.5- and 4.2-fold increase in prevalent frailty (95% CI, 1.04-2.08; 1.84-9.19), respectively, although not with prefrailty. Again, adjusting for multiple confounders, FEV1%, dyspnea, and both prefrailty and frailty were associated with an approximately twofold higher prevalence of IADL/ADL disability, while the prevalence of IADL/ADL disability for participants with COPD was approximately fourfold higher in those with co-occurring FEV1% less than 80% with either prefrailty, frailty, or dyspnea.
Furthermore, the presence of prefrailty or frailty in combination with a lower FEV1% or dyspnea was associated with a 3.7- to 3.8-fold increased risk of having an IADL or ADL disability.
Frailty and mortality
Some 1,116 participants with COPD were followed for a mean of 2,981 days for mortality outcomes. Both FEV1% less than 50% and the presence of prefrailty and frailty almost doubled the risk of mortality, at an adjusted hazard ratio of 1.8 (95% CI, 1.24-2.68) compared to patients with an FEV1% greater than or equal to 80%. In combination with either FEV1% less than 80% or prefrailty/frailty, dyspnea almost more than doubled the risk of mortality, at an HR of 2.4 for both combinations.
“However, the mortality risk of participants with COPD was highest among those with FEV1% less than 80% and prefrailty/frailty,” the authors note, more than tripling mortality risk at an adjusted HR of 3.25 (95% CI, 1.97-5.36). Interestingly, FEV1 less than 80% and prefrailty/frailty – both alone and in combination – were also associated with a twofold to fourfold increased risk of IADL or ADL disability in participants without COPD but were less strongly associated with mortality.
Researchers then went on to create a summary risk score containing all relevant variables with values ranging from 0 to 5. The highest risk category of 3 to 5 was associated with a 7- to 8.5-fold increased risk for IADL and ADL disability and mortality among participants with COPD, and that risk remained high after adjusting for multiple confounders.
Interestingly, frailty did not significantly predict mortality in women, while dyspnea did not significantly predict mortality in men. “Recognition and assessment of physical frailty in addition to FEV1% and dyspnea would allow for more accurate identification and targeted treatment of COPD at risk of future adverse outcomes,” the authors suggest.
Frailty scoring system
Asked to comment on the study, Sachin Gupta, MD, a pulmonologist and critical care specialist at Alameda Health System in Oakland, Calif., noted that the current study adds to the body of literature that outcomes in patients with COPD depend as much on objectively measured variables as on qualitative measures. “By applying a frailty scoring system, these researchers were able to categorize frailty and study its impact on patient characteristics and outcomes,” he told this news organization in an email.
The summary risk assessment tool developed and assessed is familiar: It carries parallels to the widely utilized BODE Index, replacing body mass index and 6-minute walk distance with the frailty scale, he added. “Findings from this study support the idea that what meets the eye in face-to-face visits – frailty – can be codified and be part of a tool that is predictive of outcomes,” Dr. Gupta underscored.
The authors had no conflicts of interest to declare. Dr. Gupta disclosed that he is also an employee and shareholder at Genentech.
A version of this article first appeared on Medscape.com.
, a prospective cohort study of community-dwelling adults has shown.
“Frailty, a widely recognized geriatric syndrome characterized by multidimensional functional decline in bio-psycho-social factors, is associated with functional disability and mortality,” senior author Tze Pin Ng, MD, National University of Singapore, and colleagues explain.“Our results ... suggest that beyond traditional prognostic markers such as FEV1% (forced expiratory volume in 1 second) and dyspnea, the physical frailty phenotype provides additional useful prognostic information on future risks of disability and mortality,” the authors suggest.
The study was published online Dec. 12 in the journal CHEST®.
SLAS-1 and SLAS-2
Data from the Singapore Longitudinal Ageing Study (SLAS-1) and SLAS-2 were collected and analyzed. SLAS-1 recruited 2,804 participants 55 years of age and older from Sept. 2003 through Dec. 2004, while SLAS-2 recruited 3,270 participants of the same age between March 2009 and June 2013. “Follow-up visits and assessments were conducted approximately 3-5 years apart,” the investigators noted.
Mortality was determined at a mean of 9.5 years of follow-up for SLAS-1 participants and a mean of 6.5 years’ follow-up for SLAS-2 participants. A total of 4,627 participants were eventually included in the analysis, of whom 1,162 patients had COPD and 3,465 patients did not. COPD was classified as mild if FEV1% was greater than or equal to 80%; moderate if FEV1% was greater than or equal to 50% to less than 80%, and severe if FEV1% was less than 50%.
Frailty in turn was based on five clinical criteria, including weakness, slowness, low physical activity, exhaustion, and shrinking. Participants were classified as frail if they met three or more of these criteria and prefrail if they met one or two criteria.
Adverse health outcomes were judged on the basis of instrumental or basic activities of daily living (IADL/ADL), while disability was judged by self-reported difficulties in or requiring assistance with at least one IADL or ADL.
Frail or prefrail
Almost half of the participants were frail or prefrail, as the authors reported, while 25% had COPD. Among the participants with COPD, 30% had moderate to severe COPD, 6.4% had dyspnea, and almost half had prefrailty, while approximately 7% were classified as frail.
This percentage was 86% higher than it was for participants without COPD, among whom just 3.2% were assessed as frail, at an odds ratio of 1.86 (95% CI, 1.35-2.56). Further adjustments for possible confounders reduced the gap between frail COPD and frail non-COPD participants, but frailty remained significantly associated with COPD, at an OR of 1.61 (95% CI, 1.15-2.26), the investigators note.
Furthermore, compared to those without COPD, a diagnosis of COPD without and with dyspnea was associated with a 1.5- and 4.2-fold increase in prevalent frailty (95% CI, 1.04-2.08; 1.84-9.19), respectively, although not with prefrailty. Again, adjusting for multiple confounders, FEV1%, dyspnea, and both prefrailty and frailty were associated with an approximately twofold higher prevalence of IADL/ADL disability, while the prevalence of IADL/ADL disability for participants with COPD was approximately fourfold higher in those with co-occurring FEV1% less than 80% with either prefrailty, frailty, or dyspnea.
Furthermore, the presence of prefrailty or frailty in combination with a lower FEV1% or dyspnea was associated with a 3.7- to 3.8-fold increased risk of having an IADL or ADL disability.
Frailty and mortality
Some 1,116 participants with COPD were followed for a mean of 2,981 days for mortality outcomes. Both FEV1% less than 50% and the presence of prefrailty and frailty almost doubled the risk of mortality, at an adjusted hazard ratio of 1.8 (95% CI, 1.24-2.68) compared to patients with an FEV1% greater than or equal to 80%. In combination with either FEV1% less than 80% or prefrailty/frailty, dyspnea almost more than doubled the risk of mortality, at an HR of 2.4 for both combinations.
“However, the mortality risk of participants with COPD was highest among those with FEV1% less than 80% and prefrailty/frailty,” the authors note, more than tripling mortality risk at an adjusted HR of 3.25 (95% CI, 1.97-5.36). Interestingly, FEV1 less than 80% and prefrailty/frailty – both alone and in combination – were also associated with a twofold to fourfold increased risk of IADL or ADL disability in participants without COPD but were less strongly associated with mortality.
Researchers then went on to create a summary risk score containing all relevant variables with values ranging from 0 to 5. The highest risk category of 3 to 5 was associated with a 7- to 8.5-fold increased risk for IADL and ADL disability and mortality among participants with COPD, and that risk remained high after adjusting for multiple confounders.
Interestingly, frailty did not significantly predict mortality in women, while dyspnea did not significantly predict mortality in men. “Recognition and assessment of physical frailty in addition to FEV1% and dyspnea would allow for more accurate identification and targeted treatment of COPD at risk of future adverse outcomes,” the authors suggest.
Frailty scoring system
Asked to comment on the study, Sachin Gupta, MD, a pulmonologist and critical care specialist at Alameda Health System in Oakland, Calif., noted that the current study adds to the body of literature that outcomes in patients with COPD depend as much on objectively measured variables as on qualitative measures. “By applying a frailty scoring system, these researchers were able to categorize frailty and study its impact on patient characteristics and outcomes,” he told this news organization in an email.
The summary risk assessment tool developed and assessed is familiar: It carries parallels to the widely utilized BODE Index, replacing body mass index and 6-minute walk distance with the frailty scale, he added. “Findings from this study support the idea that what meets the eye in face-to-face visits – frailty – can be codified and be part of a tool that is predictive of outcomes,” Dr. Gupta underscored.
The authors had no conflicts of interest to declare. Dr. Gupta disclosed that he is also an employee and shareholder at Genentech.
A version of this article first appeared on Medscape.com.
, a prospective cohort study of community-dwelling adults has shown.
“Frailty, a widely recognized geriatric syndrome characterized by multidimensional functional decline in bio-psycho-social factors, is associated with functional disability and mortality,” senior author Tze Pin Ng, MD, National University of Singapore, and colleagues explain.“Our results ... suggest that beyond traditional prognostic markers such as FEV1% (forced expiratory volume in 1 second) and dyspnea, the physical frailty phenotype provides additional useful prognostic information on future risks of disability and mortality,” the authors suggest.
The study was published online Dec. 12 in the journal CHEST®.
SLAS-1 and SLAS-2
Data from the Singapore Longitudinal Ageing Study (SLAS-1) and SLAS-2 were collected and analyzed. SLAS-1 recruited 2,804 participants 55 years of age and older from Sept. 2003 through Dec. 2004, while SLAS-2 recruited 3,270 participants of the same age between March 2009 and June 2013. “Follow-up visits and assessments were conducted approximately 3-5 years apart,” the investigators noted.
Mortality was determined at a mean of 9.5 years of follow-up for SLAS-1 participants and a mean of 6.5 years’ follow-up for SLAS-2 participants. A total of 4,627 participants were eventually included in the analysis, of whom 1,162 patients had COPD and 3,465 patients did not. COPD was classified as mild if FEV1% was greater than or equal to 80%; moderate if FEV1% was greater than or equal to 50% to less than 80%, and severe if FEV1% was less than 50%.
Frailty in turn was based on five clinical criteria, including weakness, slowness, low physical activity, exhaustion, and shrinking. Participants were classified as frail if they met three or more of these criteria and prefrail if they met one or two criteria.
Adverse health outcomes were judged on the basis of instrumental or basic activities of daily living (IADL/ADL), while disability was judged by self-reported difficulties in or requiring assistance with at least one IADL or ADL.
Frail or prefrail
Almost half of the participants were frail or prefrail, as the authors reported, while 25% had COPD. Among the participants with COPD, 30% had moderate to severe COPD, 6.4% had dyspnea, and almost half had prefrailty, while approximately 7% were classified as frail.
This percentage was 86% higher than it was for participants without COPD, among whom just 3.2% were assessed as frail, at an odds ratio of 1.86 (95% CI, 1.35-2.56). Further adjustments for possible confounders reduced the gap between frail COPD and frail non-COPD participants, but frailty remained significantly associated with COPD, at an OR of 1.61 (95% CI, 1.15-2.26), the investigators note.
Furthermore, compared to those without COPD, a diagnosis of COPD without and with dyspnea was associated with a 1.5- and 4.2-fold increase in prevalent frailty (95% CI, 1.04-2.08; 1.84-9.19), respectively, although not with prefrailty. Again, adjusting for multiple confounders, FEV1%, dyspnea, and both prefrailty and frailty were associated with an approximately twofold higher prevalence of IADL/ADL disability, while the prevalence of IADL/ADL disability for participants with COPD was approximately fourfold higher in those with co-occurring FEV1% less than 80% with either prefrailty, frailty, or dyspnea.
Furthermore, the presence of prefrailty or frailty in combination with a lower FEV1% or dyspnea was associated with a 3.7- to 3.8-fold increased risk of having an IADL or ADL disability.
Frailty and mortality
Some 1,116 participants with COPD were followed for a mean of 2,981 days for mortality outcomes. Both FEV1% less than 50% and the presence of prefrailty and frailty almost doubled the risk of mortality, at an adjusted hazard ratio of 1.8 (95% CI, 1.24-2.68) compared to patients with an FEV1% greater than or equal to 80%. In combination with either FEV1% less than 80% or prefrailty/frailty, dyspnea almost more than doubled the risk of mortality, at an HR of 2.4 for both combinations.
“However, the mortality risk of participants with COPD was highest among those with FEV1% less than 80% and prefrailty/frailty,” the authors note, more than tripling mortality risk at an adjusted HR of 3.25 (95% CI, 1.97-5.36). Interestingly, FEV1 less than 80% and prefrailty/frailty – both alone and in combination – were also associated with a twofold to fourfold increased risk of IADL or ADL disability in participants without COPD but were less strongly associated with mortality.
Researchers then went on to create a summary risk score containing all relevant variables with values ranging from 0 to 5. The highest risk category of 3 to 5 was associated with a 7- to 8.5-fold increased risk for IADL and ADL disability and mortality among participants with COPD, and that risk remained high after adjusting for multiple confounders.
Interestingly, frailty did not significantly predict mortality in women, while dyspnea did not significantly predict mortality in men. “Recognition and assessment of physical frailty in addition to FEV1% and dyspnea would allow for more accurate identification and targeted treatment of COPD at risk of future adverse outcomes,” the authors suggest.
Frailty scoring system
Asked to comment on the study, Sachin Gupta, MD, a pulmonologist and critical care specialist at Alameda Health System in Oakland, Calif., noted that the current study adds to the body of literature that outcomes in patients with COPD depend as much on objectively measured variables as on qualitative measures. “By applying a frailty scoring system, these researchers were able to categorize frailty and study its impact on patient characteristics and outcomes,” he told this news organization in an email.
The summary risk assessment tool developed and assessed is familiar: It carries parallels to the widely utilized BODE Index, replacing body mass index and 6-minute walk distance with the frailty scale, he added. “Findings from this study support the idea that what meets the eye in face-to-face visits – frailty – can be codified and be part of a tool that is predictive of outcomes,” Dr. Gupta underscored.
The authors had no conflicts of interest to declare. Dr. Gupta disclosed that he is also an employee and shareholder at Genentech.
A version of this article first appeared on Medscape.com.
FROM CHEST
New data support a causal role for depression in Alzheimer’s
Researchers have known for some time that depression is associated with Alzheimer’s disease (AD), but a causal link has been elusive. Now, using newly available data, they have uncovered genetic evidence of a causal role for depression in AD.
As depression typically affects those in early or midlife and dementia often occurs in later life, “it’s fascinating to see a connection between the two brain illnesses that manifest in different time windows,” coinvestigator Aliza P. Wingo, MD, associate professor of psychiatry and behavioral science, Emory University, Atlanta, said in an interview.
“If we can treat the depression early on, we may help reduce risk for dementia for our patients later in life,” Dr. Wingo said.
The findings were published online Dec. 16, 2021, in Biological Psychiatry.
Postmortem data
The investigators, who are all from the Emory University Center for Neurodegenerative Disease, wanted to clarify the genetic basis underlying the association between the established link between depression and dementia risk.
They used data from the largest and most recent genomewide association studies (GWAS). These included a 2019 analysis of depression among 807,553 individuals and a 2019 study of AD among 455,258 individuals, all of European ancestry. For sensitivity analyses, they used results from two additional AD GWAS.
The researchers also accessed postmortem brain samples from participants in the Religious Orders Study (ROS) and the Rush Memory and Aging Project (MAP). These participants were cognitively normal at enrollment, underwent annual clinical evaluations, and agreed to donate their brains.
They also assessed brain samples donated by participants in the Banner Sun Health Research Institute longitudinal study of healthy aging, Alzheimer’s, and Parkinson’s disease.
The brain samples allowed researchers to use deep brain proteomic data to help determine molecular links between depression and AD.
After quality control, the analysis included 8,356 proteins in 391 ROS/MAP participants and 7,854 proteins in 196 Banner participants.
suggesting the two conditions have a shared genetic basis.
The investigators also applied a framework called “Mendelian randomization” to determine causality between depression and AD.
After assessing the effect of 115 independent single-nucleotide polymorphisms (SNPs) from the GWAS of depression, they uncovered significant evidence “that the SNPs cause depression, which in turn cause AD,” said Dr. Wingo.
One-way relationship
The researchers conducted the same analysis on 61 significant SNPs from the GWAS of AD but did not find evidence to conclude AD causes depression.
“We found genetic evidence supporting a causal role of depression in AD but not vice versa,” Dr. Wingo said.
In addition, the investigators identified 75 brain transcripts (messenger RNA) and 28 brain proteins regulated by the depression-predisposing genetic variants. Of these, 46 brain transcripts and seven proteins were significantly associated with at least one AD feature – for example, beta-amyloid, tau tangles, and cognitive trajectory.
“These findings support the notion that the depression risk variants contribute to AD via regulating expression of their corresponding transcripts in the brain,” the investigators wrote.
It is only recently that large enough studies have allowed researchers sufficient power to reach these conclusions, coinvestigator Thomas Wingo, MD, said in an interview.
These additional “insights” into the relationship between depression and AD might “motivate” clinicians more to screen for and treat depressive symptoms, Dr. Aliza Wingo noted.
The new results also have implications for developing therapeutics to treat depression, she said. “If we target the genes, the brain proteins, that are shared risk between depression and AD, the medications that target that gene might mitigate risk for AD later on.”
However, the investigators advised caution. “A lot of this is still unknown,” said Dr. Thomas Wingo.
For example, it is not clear whether successfully treating depression mitigates the eventual risk of dementia, which is “a very important topic of inquiry and one we continue to work on,” he said, adding that a significant number of patients do not respond well to existing antidepressants such as SSRIs.
Need for further research
Commenting on the findings, Claire Sexton, DPhil, director of scientific programs and outreach, Alzheimer’s Association, said the study contributes to the debate about whether depression increases risk for AD, whether AD increases risk for depression, or both.
“These newly published findings strengthen our understanding of the role of depression as a risk factor for Alzheimer’s dementia,” said Dr. Sexton, who was not involved with the research.
While experts do not yet fully understand the impact of treating depression on dementia risk, “the findings emphasize the importance of assessing mental health status, particularly depression, and getting it properly diagnosed and treated in a timely manner,” she said.
However, she agreed more research in this area is needed. “Importantly, these findings need replication in broader, more diverse study populations,” Dr. Sexton said.
A study funded by the Alzheimer’s Association may provide more information on the link between depression and AD. It will investigate whether machine learning, an advanced computer science technique, can better predict cognitive decline, compared with traditional methods.
Over a period of 6 months, researchers will collect smartphone conversations from 225 older adults with dementia, mild cognitive impairment, or no cognitive impairment. They will also have data from cognitive tests, brain scans, and biomarkers such as cerebrospinal fluid samples to study brain changes associated with AD.
The novel method of analysis should be able to identify subtle differences in speech quality to indicate which depressive symptoms an individual might be experiencing.
“The study could help us further understand the potential impact of depression in the risk of developing dementia,” said Dr. Sexton.
Dr. Aliza Wingo and Dr. Thomas Wingo reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Researchers have known for some time that depression is associated with Alzheimer’s disease (AD), but a causal link has been elusive. Now, using newly available data, they have uncovered genetic evidence of a causal role for depression in AD.
As depression typically affects those in early or midlife and dementia often occurs in later life, “it’s fascinating to see a connection between the two brain illnesses that manifest in different time windows,” coinvestigator Aliza P. Wingo, MD, associate professor of psychiatry and behavioral science, Emory University, Atlanta, said in an interview.
“If we can treat the depression early on, we may help reduce risk for dementia for our patients later in life,” Dr. Wingo said.
The findings were published online Dec. 16, 2021, in Biological Psychiatry.
Postmortem data
The investigators, who are all from the Emory University Center for Neurodegenerative Disease, wanted to clarify the genetic basis underlying the association between the established link between depression and dementia risk.
They used data from the largest and most recent genomewide association studies (GWAS). These included a 2019 analysis of depression among 807,553 individuals and a 2019 study of AD among 455,258 individuals, all of European ancestry. For sensitivity analyses, they used results from two additional AD GWAS.
The researchers also accessed postmortem brain samples from participants in the Religious Orders Study (ROS) and the Rush Memory and Aging Project (MAP). These participants were cognitively normal at enrollment, underwent annual clinical evaluations, and agreed to donate their brains.
They also assessed brain samples donated by participants in the Banner Sun Health Research Institute longitudinal study of healthy aging, Alzheimer’s, and Parkinson’s disease.
The brain samples allowed researchers to use deep brain proteomic data to help determine molecular links between depression and AD.
After quality control, the analysis included 8,356 proteins in 391 ROS/MAP participants and 7,854 proteins in 196 Banner participants.
suggesting the two conditions have a shared genetic basis.
The investigators also applied a framework called “Mendelian randomization” to determine causality between depression and AD.
After assessing the effect of 115 independent single-nucleotide polymorphisms (SNPs) from the GWAS of depression, they uncovered significant evidence “that the SNPs cause depression, which in turn cause AD,” said Dr. Wingo.
One-way relationship
The researchers conducted the same analysis on 61 significant SNPs from the GWAS of AD but did not find evidence to conclude AD causes depression.
“We found genetic evidence supporting a causal role of depression in AD but not vice versa,” Dr. Wingo said.
In addition, the investigators identified 75 brain transcripts (messenger RNA) and 28 brain proteins regulated by the depression-predisposing genetic variants. Of these, 46 brain transcripts and seven proteins were significantly associated with at least one AD feature – for example, beta-amyloid, tau tangles, and cognitive trajectory.
“These findings support the notion that the depression risk variants contribute to AD via regulating expression of their corresponding transcripts in the brain,” the investigators wrote.
It is only recently that large enough studies have allowed researchers sufficient power to reach these conclusions, coinvestigator Thomas Wingo, MD, said in an interview.
These additional “insights” into the relationship between depression and AD might “motivate” clinicians more to screen for and treat depressive symptoms, Dr. Aliza Wingo noted.
The new results also have implications for developing therapeutics to treat depression, she said. “If we target the genes, the brain proteins, that are shared risk between depression and AD, the medications that target that gene might mitigate risk for AD later on.”
However, the investigators advised caution. “A lot of this is still unknown,” said Dr. Thomas Wingo.
For example, it is not clear whether successfully treating depression mitigates the eventual risk of dementia, which is “a very important topic of inquiry and one we continue to work on,” he said, adding that a significant number of patients do not respond well to existing antidepressants such as SSRIs.
Need for further research
Commenting on the findings, Claire Sexton, DPhil, director of scientific programs and outreach, Alzheimer’s Association, said the study contributes to the debate about whether depression increases risk for AD, whether AD increases risk for depression, or both.
“These newly published findings strengthen our understanding of the role of depression as a risk factor for Alzheimer’s dementia,” said Dr. Sexton, who was not involved with the research.
While experts do not yet fully understand the impact of treating depression on dementia risk, “the findings emphasize the importance of assessing mental health status, particularly depression, and getting it properly diagnosed and treated in a timely manner,” she said.
However, she agreed more research in this area is needed. “Importantly, these findings need replication in broader, more diverse study populations,” Dr. Sexton said.
A study funded by the Alzheimer’s Association may provide more information on the link between depression and AD. It will investigate whether machine learning, an advanced computer science technique, can better predict cognitive decline, compared with traditional methods.
Over a period of 6 months, researchers will collect smartphone conversations from 225 older adults with dementia, mild cognitive impairment, or no cognitive impairment. They will also have data from cognitive tests, brain scans, and biomarkers such as cerebrospinal fluid samples to study brain changes associated with AD.
The novel method of analysis should be able to identify subtle differences in speech quality to indicate which depressive symptoms an individual might be experiencing.
“The study could help us further understand the potential impact of depression in the risk of developing dementia,” said Dr. Sexton.
Dr. Aliza Wingo and Dr. Thomas Wingo reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Researchers have known for some time that depression is associated with Alzheimer’s disease (AD), but a causal link has been elusive. Now, using newly available data, they have uncovered genetic evidence of a causal role for depression in AD.
As depression typically affects those in early or midlife and dementia often occurs in later life, “it’s fascinating to see a connection between the two brain illnesses that manifest in different time windows,” coinvestigator Aliza P. Wingo, MD, associate professor of psychiatry and behavioral science, Emory University, Atlanta, said in an interview.
“If we can treat the depression early on, we may help reduce risk for dementia for our patients later in life,” Dr. Wingo said.
The findings were published online Dec. 16, 2021, in Biological Psychiatry.
Postmortem data
The investigators, who are all from the Emory University Center for Neurodegenerative Disease, wanted to clarify the genetic basis underlying the association between the established link between depression and dementia risk.
They used data from the largest and most recent genomewide association studies (GWAS). These included a 2019 analysis of depression among 807,553 individuals and a 2019 study of AD among 455,258 individuals, all of European ancestry. For sensitivity analyses, they used results from two additional AD GWAS.
The researchers also accessed postmortem brain samples from participants in the Religious Orders Study (ROS) and the Rush Memory and Aging Project (MAP). These participants were cognitively normal at enrollment, underwent annual clinical evaluations, and agreed to donate their brains.
They also assessed brain samples donated by participants in the Banner Sun Health Research Institute longitudinal study of healthy aging, Alzheimer’s, and Parkinson’s disease.
The brain samples allowed researchers to use deep brain proteomic data to help determine molecular links between depression and AD.
After quality control, the analysis included 8,356 proteins in 391 ROS/MAP participants and 7,854 proteins in 196 Banner participants.
suggesting the two conditions have a shared genetic basis.
The investigators also applied a framework called “Mendelian randomization” to determine causality between depression and AD.
After assessing the effect of 115 independent single-nucleotide polymorphisms (SNPs) from the GWAS of depression, they uncovered significant evidence “that the SNPs cause depression, which in turn cause AD,” said Dr. Wingo.
One-way relationship
The researchers conducted the same analysis on 61 significant SNPs from the GWAS of AD but did not find evidence to conclude AD causes depression.
“We found genetic evidence supporting a causal role of depression in AD but not vice versa,” Dr. Wingo said.
In addition, the investigators identified 75 brain transcripts (messenger RNA) and 28 brain proteins regulated by the depression-predisposing genetic variants. Of these, 46 brain transcripts and seven proteins were significantly associated with at least one AD feature – for example, beta-amyloid, tau tangles, and cognitive trajectory.
“These findings support the notion that the depression risk variants contribute to AD via regulating expression of their corresponding transcripts in the brain,” the investigators wrote.
It is only recently that large enough studies have allowed researchers sufficient power to reach these conclusions, coinvestigator Thomas Wingo, MD, said in an interview.
These additional “insights” into the relationship between depression and AD might “motivate” clinicians more to screen for and treat depressive symptoms, Dr. Aliza Wingo noted.
The new results also have implications for developing therapeutics to treat depression, she said. “If we target the genes, the brain proteins, that are shared risk between depression and AD, the medications that target that gene might mitigate risk for AD later on.”
However, the investigators advised caution. “A lot of this is still unknown,” said Dr. Thomas Wingo.
For example, it is not clear whether successfully treating depression mitigates the eventual risk of dementia, which is “a very important topic of inquiry and one we continue to work on,” he said, adding that a significant number of patients do not respond well to existing antidepressants such as SSRIs.
Need for further research
Commenting on the findings, Claire Sexton, DPhil, director of scientific programs and outreach, Alzheimer’s Association, said the study contributes to the debate about whether depression increases risk for AD, whether AD increases risk for depression, or both.
“These newly published findings strengthen our understanding of the role of depression as a risk factor for Alzheimer’s dementia,” said Dr. Sexton, who was not involved with the research.
While experts do not yet fully understand the impact of treating depression on dementia risk, “the findings emphasize the importance of assessing mental health status, particularly depression, and getting it properly diagnosed and treated in a timely manner,” she said.
However, she agreed more research in this area is needed. “Importantly, these findings need replication in broader, more diverse study populations,” Dr. Sexton said.
A study funded by the Alzheimer’s Association may provide more information on the link between depression and AD. It will investigate whether machine learning, an advanced computer science technique, can better predict cognitive decline, compared with traditional methods.
Over a period of 6 months, researchers will collect smartphone conversations from 225 older adults with dementia, mild cognitive impairment, or no cognitive impairment. They will also have data from cognitive tests, brain scans, and biomarkers such as cerebrospinal fluid samples to study brain changes associated with AD.
The novel method of analysis should be able to identify subtle differences in speech quality to indicate which depressive symptoms an individual might be experiencing.
“The study could help us further understand the potential impact of depression in the risk of developing dementia,” said Dr. Sexton.
Dr. Aliza Wingo and Dr. Thomas Wingo reported no relevant financial relationships.
A version of this article first appeared on Medscape.com.
FROM BIOLOGICAL PSYCHIATRY