Neurology

Boys born to mothers infected with SARS‐CoV‐2 during pregnancy may be more likely to receive a diagnosis of a neurodevelopmental disorder by age 12 months, according to new research.

Andrea G. Edlow, MD, MSc, with Massachusetts General Hospital and Harvard Medical School in Boston, and colleagues examined data from 18,355 births between March 1, 2020, and May 31, 2021, at eight hospitals across two health systems in Massachusetts.

Of these births, 883 (4.8%) were to individuals who tested positive for SARS‐CoV‐2 during pregnancy. Among the children exposed to SARS‐CoV‐2 in the womb, 26 (3%) received a neurodevelopmental diagnosis, including disorders of motor function, speech and language, and psychological development, by age 1 year. In the group unexposed to the virus, 1.8% received such a diagnosis.

After adjusting for factors such as race, insurance, maternal age, and preterm birth, Dr. Edlow’s group found that a positive test for SARS-CoV-2 during pregnancy was  associated with an increased risk for neurodevelopmental diagnoses at 12 months among boys (adjusted odds ratio, 1.94; 95% confidence interval, 1.12-3.17; P = .01), but not among girls.

In a subset of children with data available at 18 months, the correlation among boys at that age was less pronounced and not statistically significant (aOR, 1.42; 95% CI, 0.92-2.11; P = .10).  

The findings were published online in JAMA Network Open

Prior epidemiological research has suggested that maternal infection during pregnancy is associated with heightened risk for a range of neurodevelopmental disorders, including autism and schizophrenia, in offspring, the authors wrote.

“The neurodevelopmental risk associated with maternal SARS-CoV-2 infection was disproportionately high in male infants, consistent with the known increased vulnerability of males in the face of prenatal adverse exposures,” Dr. Edlow said in a news release about the findings.

Larger studies and longer follow‐up are needed to confirm and reliably estimate the risk, the researchers said.

“It is not clear that the changes we can detect at 12 and 18 months will be indicative of persistent risks for disorders such as autism spectrum disorder, intellectual disability, or schizophrenia,” they write.

New data published online by the Centers for Disease Control and Prevention show that in 11 communities in 2020, 1 in 36 (2.8%) 8-year-old children had been identified with autism spectrum disorder, an increase from 2.3% in 2018. The data also show that the early months of the pandemic may have disrupted autism detection efforts among 4-year-olds.

The investigators were supported by grants from the National Institutes of Health and the Simons Foundation Autism Research Initiative. Coauthors disclosed consulting for or receiving personal fees from biotechnology and pharmaceutical companies.

A version of this article first appeared on Medscape.com.

Boys born to mothers infected with SARS‐CoV‐2 during pregnancy may be more likely to receive a diagnosis of a neurodevelopmental disorder by age 12 months, according to new research.

Andrea G. Edlow, MD, MSc, with Massachusetts General Hospital and Harvard Medical School in Boston, and colleagues examined data from 18,355 births between March 1, 2020, and May 31, 2021, at eight hospitals across two health systems in Massachusetts.

Of these births, 883 (4.8%) were to individuals who tested positive for SARS‐CoV‐2 during pregnancy. Among the children exposed to SARS‐CoV‐2 in the womb, 26 (3%) received a neurodevelopmental diagnosis, including disorders of motor function, speech and language, and psychological development, by age 1 year. In the group unexposed to the virus, 1.8% received such a diagnosis.

After adjusting for factors such as race, insurance, maternal age, and preterm birth, Dr. Edlow’s group found that a positive test for SARS-CoV-2 during pregnancy was  associated with an increased risk for neurodevelopmental diagnoses at 12 months among boys (adjusted odds ratio, 1.94; 95% confidence interval, 1.12-3.17; P = .01), but not among girls.

In a subset of children with data available at 18 months, the correlation among boys at that age was less pronounced and not statistically significant (aOR, 1.42; 95% CI, 0.92-2.11; P = .10).  

The findings were published online in JAMA Network Open

Prior epidemiological research has suggested that maternal infection during pregnancy is associated with heightened risk for a range of neurodevelopmental disorders, including autism and schizophrenia, in offspring, the authors wrote.

“The neurodevelopmental risk associated with maternal SARS-CoV-2 infection was disproportionately high in male infants, consistent with the known increased vulnerability of males in the face of prenatal adverse exposures,” Dr. Edlow said in a news release about the findings.

Larger studies and longer follow‐up are needed to confirm and reliably estimate the risk, the researchers said.

“It is not clear that the changes we can detect at 12 and 18 months will be indicative of persistent risks for disorders such as autism spectrum disorder, intellectual disability, or schizophrenia,” they write.

New data published online by the Centers for Disease Control and Prevention show that in 11 communities in 2020, 1 in 36 (2.8%) 8-year-old children had been identified with autism spectrum disorder, an increase from 2.3% in 2018. The data also show that the early months of the pandemic may have disrupted autism detection efforts among 4-year-olds.

The investigators were supported by grants from the National Institutes of Health and the Simons Foundation Autism Research Initiative. Coauthors disclosed consulting for or receiving personal fees from biotechnology and pharmaceutical companies.

A version of this article first appeared on Medscape.com.

Boys born to mothers infected with SARS‐CoV‐2 during pregnancy may be more likely to receive a diagnosis of a neurodevelopmental disorder by age 12 months, according to new research.

Andrea G. Edlow, MD, MSc, with Massachusetts General Hospital and Harvard Medical School in Boston, and colleagues examined data from 18,355 births between March 1, 2020, and May 31, 2021, at eight hospitals across two health systems in Massachusetts.

Of these births, 883 (4.8%) were to individuals who tested positive for SARS‐CoV‐2 during pregnancy. Among the children exposed to SARS‐CoV‐2 in the womb, 26 (3%) received a neurodevelopmental diagnosis, including disorders of motor function, speech and language, and psychological development, by age 1 year. In the group unexposed to the virus, 1.8% received such a diagnosis.

After adjusting for factors such as race, insurance, maternal age, and preterm birth, Dr. Edlow’s group found that a positive test for SARS-CoV-2 during pregnancy was  associated with an increased risk for neurodevelopmental diagnoses at 12 months among boys (adjusted odds ratio, 1.94; 95% confidence interval, 1.12-3.17; P = .01), but not among girls.

In a subset of children with data available at 18 months, the correlation among boys at that age was less pronounced and not statistically significant (aOR, 1.42; 95% CI, 0.92-2.11; P = .10).  

The findings were published online in JAMA Network Open

Prior epidemiological research has suggested that maternal infection during pregnancy is associated with heightened risk for a range of neurodevelopmental disorders, including autism and schizophrenia, in offspring, the authors wrote.

“The neurodevelopmental risk associated with maternal SARS-CoV-2 infection was disproportionately high in male infants, consistent with the known increased vulnerability of males in the face of prenatal adverse exposures,” Dr. Edlow said in a news release about the findings.

Larger studies and longer follow‐up are needed to confirm and reliably estimate the risk, the researchers said.

“It is not clear that the changes we can detect at 12 and 18 months will be indicative of persistent risks for disorders such as autism spectrum disorder, intellectual disability, or schizophrenia,” they write.

New data published online by the Centers for Disease Control and Prevention show that in 11 communities in 2020, 1 in 36 (2.8%) 8-year-old children had been identified with autism spectrum disorder, an increase from 2.3% in 2018. The data also show that the early months of the pandemic may have disrupted autism detection efforts among 4-year-olds.

The investigators were supported by grants from the National Institutes of Health and the Simons Foundation Autism Research Initiative. Coauthors disclosed consulting for or receiving personal fees from biotechnology and pharmaceutical companies.

A version of this article first appeared on Medscape.com.

From the University of Nebraska, Lincoln (Mr. Puckett and Dr. Ryherd), University of Nebraska Medical Center, Omaha (Dr. Manley), and the University of Nebraska, Omaha (Dr. Ryan).

ABSTRACT

Objective: This study evaluated relationships between physical characteristics of nursing home residences and quality-of-care measures.

Design: This was a cross-sectional ecologic study. The dependent variables were 5 Centers for Medicare & Medicaid Services (CMS) Nursing Home Compare database long-stay quality measures (QMs) during 2019: percentage of residents who displayed depressive symptoms, percentage of residents who were physically restrained, percentage of residents who experienced 1 or more falls resulting in injury, percentage of residents who received antipsychotic medication, and percentage of residents who received anti-anxiety medication. The independent variables were 4 residence characteristics: ownership type, size, occupancy, and region within the United States. We explored how different types of each residence characteristic compare for each QM.

Setting, participants, and measurements: Quality measure values from 15,420 CMS-supported nursing homes across the United States averaged over the 4 quarters of 2019 reporting were used. Welch’s analysis of variance was performed to examine whether the mean QM values for groups within each residential characteristic were statistically different.

Results: Publicly owned and low-occupancy residences had the highest mean QM values, indicating the poorest performance. Nonprofit and high-occupancy residences generally had the lowest (ie, best) mean QM values. There were significant differences in mean QM values among nursing home sizes and regions.

Conclusion: This study suggests that residence characteristics are related to 5 nursing home QMs. Results suggest that physical characteristics may be related to overall quality of life in nursing homes.

Keywords: quality of care, quality measures, residence characteristics, Alzheimer’s disease and related dementias.

More than 55 million people worldwide are living with Alzheimer’s disease and related dementias (ADRD).¹ With the aging of the Baby Boomer population, this number is expected to rise to more than 78 million worldwide by 2030.¹ Given the growing number of cognitively impaired older adults, there is an increased need for residences designed for the specialized care of this population. Although there are dozens of living options for the elderly, and although most specialized establishments have the resources to meet the immediate needs of their residents, many facilities lack universal design features that support a high quality of life for someone with ADRD or mild cognitive impairment. Previous research has shown relationships between behavioral and psychological symptoms of dementia (BPSD) and environmental characteristics such as acoustics, lighting, and indoor air temperature.^2,3 Physical behaviors of BPSD, including aggression and wandering, and psychological symptoms, such as depression, anxiety, and delusions, put residents at risk of injury.⁴ Additionally, BPSD is correlated with caregiver burden and stress.^5-8 Patients with dementia may also experience a lower stress threshold, changes in perception of space, and decreased short-term memory, creating environmental difficulties for those with ADRD⁹ that lead them to exhibit BPSD due to poor environmental design. Thus, there is a need to learn more about design features that minimize BPSD and promote a high quality of life for those with ADRD.¹⁰

Although research has shown relationships between physical environmental characteristics and BPSD, in this work we study relationships between possible BPSD indicators and 4 residence-level characteristics: ownership type, size, occupancy, and region in the United States (determined by location of the Centers for Medicare & Medicaid Services [CMS] regional offices). We analyzed data from the CMS Nursing Home Compare database for the year 2019.¹¹ This database publishes quarterly data and star ratings for quality-of-care measures (QMs), staffing levels, and health inspections for every nursing home supported by CMS. Previous research has investigated the accuracy of QM reporting for resident falls, the impact of residential characteristics on administration of antipsychotic medication, the influence of profit status on resident outcomes and quality of care, and the effect of nursing home size on quality of life.^12-16 Additionally, research suggests that residential characteristics such as size and location could be associated with infection control in nursing homes.¹⁷

Certain QMs, such as psychotropic drug administration, resident falls, and physical restraint, provide indicators of agitation, disorientation, or aggression, which are often signals of BPSD episodes. We hypothesized that residence types are associated with different QM scores, which could indicate different occurrences of BPSD. We selected 5 QMs for long-stay residents that could potentially be used as indicators of BPSD. Short-stay resident data were not included in this work to control for BPSD that could be a result of sheer unfamiliarity with the environment and confusion from being in a new home.

Methods

Design and Data Collection

This was a cross-sectional ecologic study aimed at exploring relationships between aggregate residential characteristics and QMs. Data were retrieved from the 2019 annual archives found in the CMS provider data catalog on nursing homes, including rehabilitation services.¹¹ The dataset provides general residence information, such as ownership, number of beds, number of residents, and location, as well as residence quality metrics, such as QMs, staffing data, and inspection data. Residence characteristics and 4-quarter averages of QMs were retrieved and used as cross-sectional data. The data used are from 15,420 residences across the United States. Nursing homes located in Guam, the US Pacific Territories, Puerto Rico, and the US Virgin Islands, while supported by CMS and included in the dataset, were excluded from the study due to a severe absence of QM data.

Dependent Variables

We investigated 5 QMs that were averaged across the 4 quarters of 2019. The QMs used as dependent variables were percentage of residents who displayed depressive symptoms (depression), percentage of residents who were physically restrained (restraint), percentage of residents who experienced 1 or more falls resulting in a major injury (falls), percentage of residents who received antipsychotic medication (antipsychotic medication), and percentage of residents who received anti-anxiety or hypnotic medication (anti-anxiety medication).

A total of 2471 QM values were unreported across the 5 QM analyzed: 501 residences did not report depression data; 479 did not report restraint data; 477 did not report falls data; 508 did not report antipsychotic medication data; and 506 did not report anti-anxiety medication data. A residence with a missing QM value was excluded from that respective analysis.

To assess the relationships among the different QMs, a Pearson correlation coefficient r was computed for each unique pair of QMs (Figure). All QMs studied were found to be very weakly or weakly correlated with one another using the Evans classification for very weak and weak correlations (r < 0.20 and 0.20 < r < 0.39, respectively).¹⁸

Independent Variables

A total of 15,420 residences were included in the study. Seventy-nine residences did not report occupancy data, however, so those residences were excluded from the occupancy analyses. We categorized the ownership of each nursing home as for-profit, nonprofit, or public. We categorized nursing home size, based on quartiles of the size distribution, as large (> 127 beds), medium (64 to 126 beds), and small (< 64 beds). This method for categorizing the residential characteristics was similar to that used in previous work.¹⁹ Similarly, we categorized nursing home occupancy as high (> 92% occupancy), medium (73% to 91% occupancy), and low (< 73% occupancy) based on quartiles of the occupancy distribution. For the regional analysis, we grouped states together based on the CMS regional offices: Atlanta, Georgia; Boston, Massachusetts; Chicago, Illinois; Dallas, Texas; Denver, Colorado; Kansas City, Missouri; New York, New York; Philadelphia, Pennsylvania; San Francisco, California; and Seattle, Washington.²⁰

Analyses

We used Levene’s test to determine whether variances among the residential groups were equal for each QM, using an a priori α = 0.05. For all 20 tests conducted (4 residential characteristics for all 5 QMs), the resulting F-statistics were significant, indicating that the assumption of homogeneity of variance was not met.

We therefore used Welch’s analysis of variance (ANOVA) to evaluate whether the groups within each residential characteristic were the same on their QM means. For example, we tested whether for-profit, nonprofit, and public residences had significantly different mean depression rates. For statistically significant differences, a Games-Howell post-hoc test was conducted to test the difference between all unique pairwise comparisons. An a priori α = 0.05 was used for both Welch’s ANOVA and post-hoc testing. All analyses were conducted in RStudio Version 1.2.5033 (Posit Software, PBC).

 

 

Results

Mean Differences

Mean QM scores for the 5 QMs investigated, grouped by residential characteristic for the 2019 year of reporting, are shown in Table 1. It should be noted that the number of residences that reported occupancy data (n = 15,341) does not equal the total number of residences included in the study (N = 15,420) because 79 residences did not report occupancy data. For all QMs reported in Table 1, lower scores are better. Table 2 and Table 3 show results from pairwise comparisons of mean differences for the different residential characteristic and QM groupings. Mean differences and 95% CI are presented along with an indication of statistical significance (when applicable).

Ownership

Nonprofit residences had significantly lower (ie, better) mean scores than for-profit and public residences for 3 QMs: resident depression, antipsychotic medication use, and anti-anxiety medication use. For-profit and public residences did not significantly differ in their mean values for these QMs. For-profit residences had a significantly lower mean score for resident falls than both nonprofit and public residences, but no significant difference existed between scores for nonprofit and public residence falls. There were no statistically significant differences between mean restraint scores among the ownership types.

Size

Large (ie, high-capacity) residences had a significantly higher mean depression score than both medium and small residences, but there was not a significant difference between medium and small residences. Large residences had the significantly lowest mean score for resident falls, and medium residences scored significantly lower than small residences. Medium residences had a significantly higher mean score for anti-anxiety medication use than both small and large residences, but there was no significant difference between small and large residences. There were no statistically significant differences between mean scores for restraint and antipsychotic medication use among the nursing home sizes.

Occupancy

The mean scores for 4 out of the 5 QMs exhibited similar relationships with occupancy rates: resident depression, falls, and antipsychotic and anti-anxiety medication use. Low-occupancy residences consistently scored significantly higher than both medium- and high-occupancy residences, and medium-occupancy residences consistently scored significantly higher than high-occupancy residences. On average, high-occupancy (≥ 92%) residences reported better QM scores than low-occupancy (< 73%) and medium-occupancy (73% to 91%) residences for all the QMs studied except physical restraint, which yielded no significant results. These findings indicate a possible inverse relationship between building occupancy rate and these 4 QMs.

Region

Pairwise comparisons of mean QM scores by region are shown in Table 3. The Chicago region had a significantly higher mean depression score than all other regions, while the San Francisco region’s score was significantly lower than all other regions, except Atlanta and Boston. The Kansas City region had a significantly higher mean score for resident falls than all other regions, with the exception of Denver, and the San Francisco region scored significantly lower than all other regions in falls. The Boston region had a significantly higher mean score for administering antipsychotic medication than all other regions, except for Kansas City and Seattle, and the New York and San Francisco regions both had significantly lower scores than all other regions except for each other. The Atlanta region reported a significantly higher mean score for administering antianxiety medication than all other regions, and the Seattle region’s score for anti-anxiety medication use was significantly lower than all other regions except for San Francisco.

 

 

Discussion

This study presented mean percentages for 5 QMs reported in the Nursing Home Compare database for the year 2019: depression, restraint, falls, antipsychotic medication use, and anti-anxiety medication use. We investigated these scores by 4 residential characteristics: ownership type, size, occupancy, and region. In general, publicly owned and low-occupancy residences had the highest scores, and thus the poorest performances, for the 5 chosen QMs during 2019. Nonprofit and high-occupancy residences generally had the lowest (ie, better) scores, and this result agrees with previous findings on long-stay nursing home residents.²¹ One possible explanation for better performance by high-occupancy buildings could be that increased social interaction is beneficial to nursing home residents as compared with low-occupancy buildings, where less social interaction is probable. It is difficult to draw conclusions regarding nursing home size and region; however, there are significant differences among sizes for 3 out of the 5 QMs and significant differences among regions for all 5 QMs. The analyses suggest that residence-level characteristics are related to QM scores. Although reported QMs are not a direct representation of resident quality of life, this work agrees with previous research that residential characteristics have some impact on the lives of nursing home residents.^13-17 Improvements in QM reporting and changes in quality improvement goals since the formation of Nursing Home Compare exist, suggesting that nursing homes’ awareness of their reporting duties may impact quality of care or reporting tendencies.^21,22 Future research should consider investigating the impacts of the COVID-19 pandemic on quality-reporting trends and QM scores.

Other physical characteristics of nursing homes, such as noise, lighting levels, and air quality, may also have an impact on QMs and possibly nursing home residents themselves. This type of data exploration could be included in future research. Additionally, future research could include a similar analysis over a longer period, rather than the 1-year period examined here, to investigate which types of residences consistently have high or low scores or how different types of residences have evolved over the years, particularly considering the impact of the COVID-19 pandemic. Information such as staffing levels, building renovations, and inspection data could be accounted for in future studies. Different QMs could also be investigated to better understand the influence of residential characteristics on quality of care.

Conclusion

This study suggests that residence-level characteristics are related to 5 reported nursing home QMs. Overall, nonprofit and high-occupancy residences had the lowest QM scores, indicating the highest performance. Although the results do not necessarily suggest that residence-level characteristics impact individual nursing home residents’ quality of life, they suggest that physical characteristics affect overall quality of life in nursing homes. Future research is needed to determine the specific physical characteristics of these residences that affect QM scores.

Corresponding author: Brian J. Puckett, [email protected].

Disclosures: None reported.

From the University of Nebraska, Lincoln (Mr. Puckett and Dr. Ryherd), University of Nebraska Medical Center, Omaha (Dr. Manley), and the University of Nebraska, Omaha (Dr. Ryan).

ABSTRACT

Objective: This study evaluated relationships between physical characteristics of nursing home residences and quality-of-care measures.

Design: This was a cross-sectional ecologic study. The dependent variables were 5 Centers for Medicare & Medicaid Services (CMS) Nursing Home Compare database long-stay quality measures (QMs) during 2019: percentage of residents who displayed depressive symptoms, percentage of residents who were physically restrained, percentage of residents who experienced 1 or more falls resulting in injury, percentage of residents who received antipsychotic medication, and percentage of residents who received anti-anxiety medication. The independent variables were 4 residence characteristics: ownership type, size, occupancy, and region within the United States. We explored how different types of each residence characteristic compare for each QM.

Setting, participants, and measurements: Quality measure values from 15,420 CMS-supported nursing homes across the United States averaged over the 4 quarters of 2019 reporting were used. Welch’s analysis of variance was performed to examine whether the mean QM values for groups within each residential characteristic were statistically different.

Results: Publicly owned and low-occupancy residences had the highest mean QM values, indicating the poorest performance. Nonprofit and high-occupancy residences generally had the lowest (ie, best) mean QM values. There were significant differences in mean QM values among nursing home sizes and regions.

Conclusion: This study suggests that residence characteristics are related to 5 nursing home QMs. Results suggest that physical characteristics may be related to overall quality of life in nursing homes.

Keywords: quality of care, quality measures, residence characteristics, Alzheimer’s disease and related dementias.

More than 55 million people worldwide are living with Alzheimer’s disease and related dementias (ADRD).¹ With the aging of the Baby Boomer population, this number is expected to rise to more than 78 million worldwide by 2030.¹ Given the growing number of cognitively impaired older adults, there is an increased need for residences designed for the specialized care of this population. Although there are dozens of living options for the elderly, and although most specialized establishments have the resources to meet the immediate needs of their residents, many facilities lack universal design features that support a high quality of life for someone with ADRD or mild cognitive impairment. Previous research has shown relationships between behavioral and psychological symptoms of dementia (BPSD) and environmental characteristics such as acoustics, lighting, and indoor air temperature.^2,3 Physical behaviors of BPSD, including aggression and wandering, and psychological symptoms, such as depression, anxiety, and delusions, put residents at risk of injury.⁴ Additionally, BPSD is correlated with caregiver burden and stress.^5-8 Patients with dementia may also experience a lower stress threshold, changes in perception of space, and decreased short-term memory, creating environmental difficulties for those with ADRD⁹ that lead them to exhibit BPSD due to poor environmental design. Thus, there is a need to learn more about design features that minimize BPSD and promote a high quality of life for those with ADRD.¹⁰

Although research has shown relationships between physical environmental characteristics and BPSD, in this work we study relationships between possible BPSD indicators and 4 residence-level characteristics: ownership type, size, occupancy, and region in the United States (determined by location of the Centers for Medicare & Medicaid Services [CMS] regional offices). We analyzed data from the CMS Nursing Home Compare database for the year 2019.¹¹ This database publishes quarterly data and star ratings for quality-of-care measures (QMs), staffing levels, and health inspections for every nursing home supported by CMS. Previous research has investigated the accuracy of QM reporting for resident falls, the impact of residential characteristics on administration of antipsychotic medication, the influence of profit status on resident outcomes and quality of care, and the effect of nursing home size on quality of life.^12-16 Additionally, research suggests that residential characteristics such as size and location could be associated with infection control in nursing homes.¹⁷

Certain QMs, such as psychotropic drug administration, resident falls, and physical restraint, provide indicators of agitation, disorientation, or aggression, which are often signals of BPSD episodes. We hypothesized that residence types are associated with different QM scores, which could indicate different occurrences of BPSD. We selected 5 QMs for long-stay residents that could potentially be used as indicators of BPSD. Short-stay resident data were not included in this work to control for BPSD that could be a result of sheer unfamiliarity with the environment and confusion from being in a new home.

Methods

Design and Data Collection

This was a cross-sectional ecologic study aimed at exploring relationships between aggregate residential characteristics and QMs. Data were retrieved from the 2019 annual archives found in the CMS provider data catalog on nursing homes, including rehabilitation services.¹¹ The dataset provides general residence information, such as ownership, number of beds, number of residents, and location, as well as residence quality metrics, such as QMs, staffing data, and inspection data. Residence characteristics and 4-quarter averages of QMs were retrieved and used as cross-sectional data. The data used are from 15,420 residences across the United States. Nursing homes located in Guam, the US Pacific Territories, Puerto Rico, and the US Virgin Islands, while supported by CMS and included in the dataset, were excluded from the study due to a severe absence of QM data.

Dependent Variables

We investigated 5 QMs that were averaged across the 4 quarters of 2019. The QMs used as dependent variables were percentage of residents who displayed depressive symptoms (depression), percentage of residents who were physically restrained (restraint), percentage of residents who experienced 1 or more falls resulting in a major injury (falls), percentage of residents who received antipsychotic medication (antipsychotic medication), and percentage of residents who received anti-anxiety or hypnotic medication (anti-anxiety medication).

A total of 2471 QM values were unreported across the 5 QM analyzed: 501 residences did not report depression data; 479 did not report restraint data; 477 did not report falls data; 508 did not report antipsychotic medication data; and 506 did not report anti-anxiety medication data. A residence with a missing QM value was excluded from that respective analysis.

To assess the relationships among the different QMs, a Pearson correlation coefficient r was computed for each unique pair of QMs (Figure). All QMs studied were found to be very weakly or weakly correlated with one another using the Evans classification for very weak and weak correlations (r < 0.20 and 0.20 < r < 0.39, respectively).¹⁸

Independent Variables

A total of 15,420 residences were included in the study. Seventy-nine residences did not report occupancy data, however, so those residences were excluded from the occupancy analyses. We categorized the ownership of each nursing home as for-profit, nonprofit, or public. We categorized nursing home size, based on quartiles of the size distribution, as large (> 127 beds), medium (64 to 126 beds), and small (< 64 beds). This method for categorizing the residential characteristics was similar to that used in previous work.¹⁹ Similarly, we categorized nursing home occupancy as high (> 92% occupancy), medium (73% to 91% occupancy), and low (< 73% occupancy) based on quartiles of the occupancy distribution. For the regional analysis, we grouped states together based on the CMS regional offices: Atlanta, Georgia; Boston, Massachusetts; Chicago, Illinois; Dallas, Texas; Denver, Colorado; Kansas City, Missouri; New York, New York; Philadelphia, Pennsylvania; San Francisco, California; and Seattle, Washington.²⁰

Analyses

We used Levene’s test to determine whether variances among the residential groups were equal for each QM, using an a priori α = 0.05. For all 20 tests conducted (4 residential characteristics for all 5 QMs), the resulting F-statistics were significant, indicating that the assumption of homogeneity of variance was not met.

We therefore used Welch’s analysis of variance (ANOVA) to evaluate whether the groups within each residential characteristic were the same on their QM means. For example, we tested whether for-profit, nonprofit, and public residences had significantly different mean depression rates. For statistically significant differences, a Games-Howell post-hoc test was conducted to test the difference between all unique pairwise comparisons. An a priori α = 0.05 was used for both Welch’s ANOVA and post-hoc testing. All analyses were conducted in RStudio Version 1.2.5033 (Posit Software, PBC).

 

 

Results

Mean Differences

Mean QM scores for the 5 QMs investigated, grouped by residential characteristic for the 2019 year of reporting, are shown in Table 1. It should be noted that the number of residences that reported occupancy data (n = 15,341) does not equal the total number of residences included in the study (N = 15,420) because 79 residences did not report occupancy data. For all QMs reported in Table 1, lower scores are better. Table 2 and Table 3 show results from pairwise comparisons of mean differences for the different residential characteristic and QM groupings. Mean differences and 95% CI are presented along with an indication of statistical significance (when applicable).

Ownership

Nonprofit residences had significantly lower (ie, better) mean scores than for-profit and public residences for 3 QMs: resident depression, antipsychotic medication use, and anti-anxiety medication use. For-profit and public residences did not significantly differ in their mean values for these QMs. For-profit residences had a significantly lower mean score for resident falls than both nonprofit and public residences, but no significant difference existed between scores for nonprofit and public residence falls. There were no statistically significant differences between mean restraint scores among the ownership types.

Size

Large (ie, high-capacity) residences had a significantly higher mean depression score than both medium and small residences, but there was not a significant difference between medium and small residences. Large residences had the significantly lowest mean score for resident falls, and medium residences scored significantly lower than small residences. Medium residences had a significantly higher mean score for anti-anxiety medication use than both small and large residences, but there was no significant difference between small and large residences. There were no statistically significant differences between mean scores for restraint and antipsychotic medication use among the nursing home sizes.

Occupancy

The mean scores for 4 out of the 5 QMs exhibited similar relationships with occupancy rates: resident depression, falls, and antipsychotic and anti-anxiety medication use. Low-occupancy residences consistently scored significantly higher than both medium- and high-occupancy residences, and medium-occupancy residences consistently scored significantly higher than high-occupancy residences. On average, high-occupancy (≥ 92%) residences reported better QM scores than low-occupancy (< 73%) and medium-occupancy (73% to 91%) residences for all the QMs studied except physical restraint, which yielded no significant results. These findings indicate a possible inverse relationship between building occupancy rate and these 4 QMs.

Region

Pairwise comparisons of mean QM scores by region are shown in Table 3. The Chicago region had a significantly higher mean depression score than all other regions, while the San Francisco region’s score was significantly lower than all other regions, except Atlanta and Boston. The Kansas City region had a significantly higher mean score for resident falls than all other regions, with the exception of Denver, and the San Francisco region scored significantly lower than all other regions in falls. The Boston region had a significantly higher mean score for administering antipsychotic medication than all other regions, except for Kansas City and Seattle, and the New York and San Francisco regions both had significantly lower scores than all other regions except for each other. The Atlanta region reported a significantly higher mean score for administering antianxiety medication than all other regions, and the Seattle region’s score for anti-anxiety medication use was significantly lower than all other regions except for San Francisco.

 

 

Discussion

This study presented mean percentages for 5 QMs reported in the Nursing Home Compare database for the year 2019: depression, restraint, falls, antipsychotic medication use, and anti-anxiety medication use. We investigated these scores by 4 residential characteristics: ownership type, size, occupancy, and region. In general, publicly owned and low-occupancy residences had the highest scores, and thus the poorest performances, for the 5 chosen QMs during 2019. Nonprofit and high-occupancy residences generally had the lowest (ie, better) scores, and this result agrees with previous findings on long-stay nursing home residents.²¹ One possible explanation for better performance by high-occupancy buildings could be that increased social interaction is beneficial to nursing home residents as compared with low-occupancy buildings, where less social interaction is probable. It is difficult to draw conclusions regarding nursing home size and region; however, there are significant differences among sizes for 3 out of the 5 QMs and significant differences among regions for all 5 QMs. The analyses suggest that residence-level characteristics are related to QM scores. Although reported QMs are not a direct representation of resident quality of life, this work agrees with previous research that residential characteristics have some impact on the lives of nursing home residents.^13-17 Improvements in QM reporting and changes in quality improvement goals since the formation of Nursing Home Compare exist, suggesting that nursing homes’ awareness of their reporting duties may impact quality of care or reporting tendencies.^21,22 Future research should consider investigating the impacts of the COVID-19 pandemic on quality-reporting trends and QM scores.

Other physical characteristics of nursing homes, such as noise, lighting levels, and air quality, may also have an impact on QMs and possibly nursing home residents themselves. This type of data exploration could be included in future research. Additionally, future research could include a similar analysis over a longer period, rather than the 1-year period examined here, to investigate which types of residences consistently have high or low scores or how different types of residences have evolved over the years, particularly considering the impact of the COVID-19 pandemic. Information such as staffing levels, building renovations, and inspection data could be accounted for in future studies. Different QMs could also be investigated to better understand the influence of residential characteristics on quality of care.

Conclusion

This study suggests that residence-level characteristics are related to 5 reported nursing home QMs. Overall, nonprofit and high-occupancy residences had the lowest QM scores, indicating the highest performance. Although the results do not necessarily suggest that residence-level characteristics impact individual nursing home residents’ quality of life, they suggest that physical characteristics affect overall quality of life in nursing homes. Future research is needed to determine the specific physical characteristics of these residences that affect QM scores.

Corresponding author: Brian J. Puckett, [email protected].

Disclosures: None reported.

From the University of Nebraska, Lincoln (Mr. Puckett and Dr. Ryherd), University of Nebraska Medical Center, Omaha (Dr. Manley), and the University of Nebraska, Omaha (Dr. Ryan).

ABSTRACT

Objective: This study evaluated relationships between physical characteristics of nursing home residences and quality-of-care measures.

Design: This was a cross-sectional ecologic study. The dependent variables were 5 Centers for Medicare & Medicaid Services (CMS) Nursing Home Compare database long-stay quality measures (QMs) during 2019: percentage of residents who displayed depressive symptoms, percentage of residents who were physically restrained, percentage of residents who experienced 1 or more falls resulting in injury, percentage of residents who received antipsychotic medication, and percentage of residents who received anti-anxiety medication. The independent variables were 4 residence characteristics: ownership type, size, occupancy, and region within the United States. We explored how different types of each residence characteristic compare for each QM.

Setting, participants, and measurements: Quality measure values from 15,420 CMS-supported nursing homes across the United States averaged over the 4 quarters of 2019 reporting were used. Welch’s analysis of variance was performed to examine whether the mean QM values for groups within each residential characteristic were statistically different.

Results: Publicly owned and low-occupancy residences had the highest mean QM values, indicating the poorest performance. Nonprofit and high-occupancy residences generally had the lowest (ie, best) mean QM values. There were significant differences in mean QM values among nursing home sizes and regions.

Conclusion: This study suggests that residence characteristics are related to 5 nursing home QMs. Results suggest that physical characteristics may be related to overall quality of life in nursing homes.

Keywords: quality of care, quality measures, residence characteristics, Alzheimer’s disease and related dementias.

More than 55 million people worldwide are living with Alzheimer’s disease and related dementias (ADRD).¹ With the aging of the Baby Boomer population, this number is expected to rise to more than 78 million worldwide by 2030.¹ Given the growing number of cognitively impaired older adults, there is an increased need for residences designed for the specialized care of this population. Although there are dozens of living options for the elderly, and although most specialized establishments have the resources to meet the immediate needs of their residents, many facilities lack universal design features that support a high quality of life for someone with ADRD or mild cognitive impairment. Previous research has shown relationships between behavioral and psychological symptoms of dementia (BPSD) and environmental characteristics such as acoustics, lighting, and indoor air temperature.^2,3 Physical behaviors of BPSD, including aggression and wandering, and psychological symptoms, such as depression, anxiety, and delusions, put residents at risk of injury.⁴ Additionally, BPSD is correlated with caregiver burden and stress.^5-8 Patients with dementia may also experience a lower stress threshold, changes in perception of space, and decreased short-term memory, creating environmental difficulties for those with ADRD⁹ that lead them to exhibit BPSD due to poor environmental design. Thus, there is a need to learn more about design features that minimize BPSD and promote a high quality of life for those with ADRD.¹⁰

Although research has shown relationships between physical environmental characteristics and BPSD, in this work we study relationships between possible BPSD indicators and 4 residence-level characteristics: ownership type, size, occupancy, and region in the United States (determined by location of the Centers for Medicare & Medicaid Services [CMS] regional offices). We analyzed data from the CMS Nursing Home Compare database for the year 2019.¹¹ This database publishes quarterly data and star ratings for quality-of-care measures (QMs), staffing levels, and health inspections for every nursing home supported by CMS. Previous research has investigated the accuracy of QM reporting for resident falls, the impact of residential characteristics on administration of antipsychotic medication, the influence of profit status on resident outcomes and quality of care, and the effect of nursing home size on quality of life.^12-16 Additionally, research suggests that residential characteristics such as size and location could be associated with infection control in nursing homes.¹⁷

Certain QMs, such as psychotropic drug administration, resident falls, and physical restraint, provide indicators of agitation, disorientation, or aggression, which are often signals of BPSD episodes. We hypothesized that residence types are associated with different QM scores, which could indicate different occurrences of BPSD. We selected 5 QMs for long-stay residents that could potentially be used as indicators of BPSD. Short-stay resident data were not included in this work to control for BPSD that could be a result of sheer unfamiliarity with the environment and confusion from being in a new home.

Methods

Design and Data Collection

This was a cross-sectional ecologic study aimed at exploring relationships between aggregate residential characteristics and QMs. Data were retrieved from the 2019 annual archives found in the CMS provider data catalog on nursing homes, including rehabilitation services.¹¹ The dataset provides general residence information, such as ownership, number of beds, number of residents, and location, as well as residence quality metrics, such as QMs, staffing data, and inspection data. Residence characteristics and 4-quarter averages of QMs were retrieved and used as cross-sectional data. The data used are from 15,420 residences across the United States. Nursing homes located in Guam, the US Pacific Territories, Puerto Rico, and the US Virgin Islands, while supported by CMS and included in the dataset, were excluded from the study due to a severe absence of QM data.

Dependent Variables

We investigated 5 QMs that were averaged across the 4 quarters of 2019. The QMs used as dependent variables were percentage of residents who displayed depressive symptoms (depression), percentage of residents who were physically restrained (restraint), percentage of residents who experienced 1 or more falls resulting in a major injury (falls), percentage of residents who received antipsychotic medication (antipsychotic medication), and percentage of residents who received anti-anxiety or hypnotic medication (anti-anxiety medication).

A total of 2471 QM values were unreported across the 5 QM analyzed: 501 residences did not report depression data; 479 did not report restraint data; 477 did not report falls data; 508 did not report antipsychotic medication data; and 506 did not report anti-anxiety medication data. A residence with a missing QM value was excluded from that respective analysis.

To assess the relationships among the different QMs, a Pearson correlation coefficient r was computed for each unique pair of QMs (Figure). All QMs studied were found to be very weakly or weakly correlated with one another using the Evans classification for very weak and weak correlations (r < 0.20 and 0.20 < r < 0.39, respectively).¹⁸

Independent Variables

A total of 15,420 residences were included in the study. Seventy-nine residences did not report occupancy data, however, so those residences were excluded from the occupancy analyses. We categorized the ownership of each nursing home as for-profit, nonprofit, or public. We categorized nursing home size, based on quartiles of the size distribution, as large (> 127 beds), medium (64 to 126 beds), and small (< 64 beds). This method for categorizing the residential characteristics was similar to that used in previous work.¹⁹ Similarly, we categorized nursing home occupancy as high (> 92% occupancy), medium (73% to 91% occupancy), and low (< 73% occupancy) based on quartiles of the occupancy distribution. For the regional analysis, we grouped states together based on the CMS regional offices: Atlanta, Georgia; Boston, Massachusetts; Chicago, Illinois; Dallas, Texas; Denver, Colorado; Kansas City, Missouri; New York, New York; Philadelphia, Pennsylvania; San Francisco, California; and Seattle, Washington.²⁰

Analyses

We used Levene’s test to determine whether variances among the residential groups were equal for each QM, using an a priori α = 0.05. For all 20 tests conducted (4 residential characteristics for all 5 QMs), the resulting F-statistics were significant, indicating that the assumption of homogeneity of variance was not met.

We therefore used Welch’s analysis of variance (ANOVA) to evaluate whether the groups within each residential characteristic were the same on their QM means. For example, we tested whether for-profit, nonprofit, and public residences had significantly different mean depression rates. For statistically significant differences, a Games-Howell post-hoc test was conducted to test the difference between all unique pairwise comparisons. An a priori α = 0.05 was used for both Welch’s ANOVA and post-hoc testing. All analyses were conducted in RStudio Version 1.2.5033 (Posit Software, PBC).

 

 

Results

Mean Differences

Mean QM scores for the 5 QMs investigated, grouped by residential characteristic for the 2019 year of reporting, are shown in Table 1. It should be noted that the number of residences that reported occupancy data (n = 15,341) does not equal the total number of residences included in the study (N = 15,420) because 79 residences did not report occupancy data. For all QMs reported in Table 1, lower scores are better. Table 2 and Table 3 show results from pairwise comparisons of mean differences for the different residential characteristic and QM groupings. Mean differences and 95% CI are presented along with an indication of statistical significance (when applicable).

Ownership

Nonprofit residences had significantly lower (ie, better) mean scores than for-profit and public residences for 3 QMs: resident depression, antipsychotic medication use, and anti-anxiety medication use. For-profit and public residences did not significantly differ in their mean values for these QMs. For-profit residences had a significantly lower mean score for resident falls than both nonprofit and public residences, but no significant difference existed between scores for nonprofit and public residence falls. There were no statistically significant differences between mean restraint scores among the ownership types.

Size

Large (ie, high-capacity) residences had a significantly higher mean depression score than both medium and small residences, but there was not a significant difference between medium and small residences. Large residences had the significantly lowest mean score for resident falls, and medium residences scored significantly lower than small residences. Medium residences had a significantly higher mean score for anti-anxiety medication use than both small and large residences, but there was no significant difference between small and large residences. There were no statistically significant differences between mean scores for restraint and antipsychotic medication use among the nursing home sizes.

Occupancy

The mean scores for 4 out of the 5 QMs exhibited similar relationships with occupancy rates: resident depression, falls, and antipsychotic and anti-anxiety medication use. Low-occupancy residences consistently scored significantly higher than both medium- and high-occupancy residences, and medium-occupancy residences consistently scored significantly higher than high-occupancy residences. On average, high-occupancy (≥ 92%) residences reported better QM scores than low-occupancy (< 73%) and medium-occupancy (73% to 91%) residences for all the QMs studied except physical restraint, which yielded no significant results. These findings indicate a possible inverse relationship between building occupancy rate and these 4 QMs.

Region

Pairwise comparisons of mean QM scores by region are shown in Table 3. The Chicago region had a significantly higher mean depression score than all other regions, while the San Francisco region’s score was significantly lower than all other regions, except Atlanta and Boston. The Kansas City region had a significantly higher mean score for resident falls than all other regions, with the exception of Denver, and the San Francisco region scored significantly lower than all other regions in falls. The Boston region had a significantly higher mean score for administering antipsychotic medication than all other regions, except for Kansas City and Seattle, and the New York and San Francisco regions both had significantly lower scores than all other regions except for each other. The Atlanta region reported a significantly higher mean score for administering antianxiety medication than all other regions, and the Seattle region’s score for anti-anxiety medication use was significantly lower than all other regions except for San Francisco.

 

 

Discussion

This study presented mean percentages for 5 QMs reported in the Nursing Home Compare database for the year 2019: depression, restraint, falls, antipsychotic medication use, and anti-anxiety medication use. We investigated these scores by 4 residential characteristics: ownership type, size, occupancy, and region. In general, publicly owned and low-occupancy residences had the highest scores, and thus the poorest performances, for the 5 chosen QMs during 2019. Nonprofit and high-occupancy residences generally had the lowest (ie, better) scores, and this result agrees with previous findings on long-stay nursing home residents.²¹ One possible explanation for better performance by high-occupancy buildings could be that increased social interaction is beneficial to nursing home residents as compared with low-occupancy buildings, where less social interaction is probable. It is difficult to draw conclusions regarding nursing home size and region; however, there are significant differences among sizes for 3 out of the 5 QMs and significant differences among regions for all 5 QMs. The analyses suggest that residence-level characteristics are related to QM scores. Although reported QMs are not a direct representation of resident quality of life, this work agrees with previous research that residential characteristics have some impact on the lives of nursing home residents.^13-17 Improvements in QM reporting and changes in quality improvement goals since the formation of Nursing Home Compare exist, suggesting that nursing homes’ awareness of their reporting duties may impact quality of care or reporting tendencies.^21,22 Future research should consider investigating the impacts of the COVID-19 pandemic on quality-reporting trends and QM scores.

Other physical characteristics of nursing homes, such as noise, lighting levels, and air quality, may also have an impact on QMs and possibly nursing home residents themselves. This type of data exploration could be included in future research. Additionally, future research could include a similar analysis over a longer period, rather than the 1-year period examined here, to investigate which types of residences consistently have high or low scores or how different types of residences have evolved over the years, particularly considering the impact of the COVID-19 pandemic. Information such as staffing levels, building renovations, and inspection data could be accounted for in future studies. Different QMs could also be investigated to better understand the influence of residential characteristics on quality of care.

Conclusion

This study suggests that residence-level characteristics are related to 5 reported nursing home QMs. Overall, nonprofit and high-occupancy residences had the lowest QM scores, indicating the highest performance. Although the results do not necessarily suggest that residence-level characteristics impact individual nursing home residents’ quality of life, they suggest that physical characteristics affect overall quality of life in nursing homes. Future research is needed to determine the specific physical characteristics of these residences that affect QM scores.

Corresponding author: Brian J. Puckett, [email protected].

Disclosures: None reported.

Study 1 Overview (Menon et al)

Objective: To determine whether a 0.25 mg/kg dose of intravenous tenecteplase is noninferior to intravenous alteplase 0.9 mg/kg for patients with acute ischemic stroke eligible for thrombolytic therapy.

Design: Multicenter, parallel-group, open-label randomized controlled trial.

Setting and participants: The trial was conducted at 22 primary and comprehensive stroke centers across Canada. A primary stroke center was defined as a hospital capable of offering intravenous thrombolysis to patients with acute ischemic stroke, while a comprehensive stroke center was able to offer thrombectomy services in addition. The involved centers also participated in Canadian quality improvement registries (either Quality Improvement and Clinical Research [QuiCR] or Optimizing Patient Treatment in Major Ischemic Stroke with EVT [OPTIMISE]) that track patient outcomes. Patients were eligible for inclusion if they were aged 18 years or older, had a diagnosis of acute ischemic stroke, presented within 4.5 hours of symptom onset, and were eligible for thrombolysis according to Canadian guidelines.

Patients were randomized in a 1:1 fashion to either intravenous tenecteplase (0.25 mg/kg single dose, maximum of 25 mg) or intravenous alteplase (0.9 mg/kg total dose to a maximum of 90 mg, delivered as a bolus followed by a continuous infusion). A total of 1600 patients were enrolled, with 816 randomly assigned to the tenecteplase arm and 784 to the alteplase arm; 1577 patients were included in the intention-to-treat (ITT) analysis (n = 806 tenecteplase; n = 771 alteplase). The median age of enrollees was 74 years, and 52.1% of the ITT population were men.

Main outcome measures: In the ITT population, the primary outcome measure was a modified Rankin score (mRS) of 0 or 1 at 90 to 120 days post treatment. Safety outcomes included symptomatic intracerebral hemorrhage, orolingual angioedema, extracranial bleeding that required blood transfusion (all within 24 hours of thrombolytic administration), and all-cause mortality at 90 days. The noninferiority threshold for intravenous tenecteplase was set as the lower 95% CI of the difference between the tenecteplase and alteplase groups in the proportion of patients who met the primary outcome exceeding –5%.

Main results: The primary outcome of mRS of either 0 or 1 at 90 to 120 days of treatment occurred in 296 (36.9%) of the 802 patients assigned to tenecteplase and 266 (34.8%) of the 765 patients assigned to alteplase (unadjusted risk difference, 2.1%; 95% CI, –2.6 to 6.9). The prespecified noninferiority threshold was met. There were no significant differences between the groups in rates of intracerebral hemorrhage at 24 hours or 90-day all-cause mortality.

Conclusion: Intravenous tenecteplase is a reasonable alternative to alteplase for patients eligible for thrombolytic therapy.

Study 2 Overview (Wang et al)

Objective: To determine whether tenecteplase (dose 0.25 mg/kg) is noninferior to alteplase in patients with acute ischemic stroke who are within 4.5 hours of symptom onset and eligible for thrombolytic therapy but either refused or were ineligible for endovascular thrombectomy.

Design: Multicenter, prospective, open-label, randomized, controlled noninferiority trial.

Setting and participants: This trial was conducted at 53 centers across China and included patients 18 years of age or older who were within 4.5 hours of symptom onset and were thrombolytic eligible, had a mRS ≤ 1 at enrollment, and had a National Institutes of Health Stroke Scale score between 5 and 25. Eligible participants were randomized 1:1 to either tenecteplase 0.25 mg/kg (maximum dose 25 mg) or alteplase 0.9 mg/kg (maximum dose 90 mg, administered as a bolus followed by infusion). During the enrollment period (June 12, 2021, to May 29, 2022), a total of 1430 participants were enrolled, and, of those, 716 were randomly assigned to tenecteplase and 714 to alteplase. Six patients assigned to tenecteplase and 7 assigned to alteplase did not receive drugs. At 90 days, 5 in the tenecteplase group and 11 in the alteplase group were lost to follow up.

Main outcome measures: The primary efficacy outcome was a mRS of 0 or 1 at 90 days. The primary safety outcome was intracranial hemorrhage within 36 hours. Safety outcomes included parenchymal hematoma 2, as defined by the European Cooperative Acute Stroke Study III; any intracranial or significant hemorrhage, as defined by the Global Utilization of Streptokinase and Tissue Plasminogen Activator for Occluded Coronary Arteries criteria; and death from all causes at 90 days. Noninferiority for tenecteplase would be declared if the lower 97.5% 1-sided CI for the relative risk (RR) for the primary outcome did not cross 0.937.

Main results: In the modified ITT population, the primary outcome occurred in 439 (62%) of the tenecteplase group and 405 (68%) of the alteplase group (RR, 1.07; 95% CI, 0.98-1.16). This met the prespecified margin for noninferiority. Intracranial hemorrhage within 36 hours was experienced by 15 (2%) patients in the tenecteplase group and 13 (2%) in the alteplase group (RR, 1.18; 95% CI, 0.56-2.50). Death at 90 days occurred in 46 (7%) patients in the tenecteplase group and 35 (5%) in the alteplase group (RR, 1.31; 95% CI, 0.86-2.01).

Conclusion: Tenecteplase was noninferior to alteplase in patients with acute ischemic stroke who met criteria for thrombolysis and either refused or were ineligible for endovascular thrombectomy.

Commentary

Alteplase has been FDA-approved for managing acute ischemic stroke since 1996 and has demonstrated positive effects on functional outcomes. Drawbacks of alteplase therapy, however, include bleeding risk as well as cumbersome administration of a bolus dose followed by a 60-minute infusion. In recent years, the question of whether or not tenecteplase could replace alteplase as the preferred thrombolytic for acute ischemic stroke has garnered much attention. Several features of tenecteplase make it an attractive option, including increased fibrin specificity, a longer half-life, and ease of administration as a single, rapid bolus dose. In phase 2 trials that compared tenecteplase 0.25 mg/kg with alteplase, findings suggested the potential for early neurological improvement as well as improved outcomes at 90 days. While the role of tenecteplase in acute myocardial infarction has been well established due to ease of use and a favorable adverse-effect profile,¹ there is much less evidence from phase 3 randomized controlled clinical trials to secure the role of tenecteplase in acute ischemic stroke.²

Menon et al attempted to close this gap in the literature by conducting a randomized controlled clinical trial (AcT) comparing tenecteplase to alteplase in a Canadian patient population. The trial's patient population mirrors that of real-world data from global registries in terms of age, sex, and baseline stroke severity. In addition, the eligibility window of 4.5 hours from symptom onset as well as the inclusion and exclusion criteria for therapy are common to those utilized in other countries, making the findings generalizable. There were some limitations to the study, however, including the impact of COVID-19 on recruitment efforts as well as limitations of research infrastructure and staffing, which may have limited enrollment efforts at primary stroke centers. Nonetheless, the authors concluded that their results provide evidence that tenecteplase is comparable to alteplase, with similar functional and safety outcomes.

TRACE-2 focused on an Asian patient population and provided follow up to the dose-ranging TRACE-1 phase 2 trial. TRACE-1 showed that tenecteplase 0.25 mg/kg had a similar safety profile to alteplase 0.9 mg/kg in Chinese patients presenting with acute ischemic stroke. TRACE-2 sought to establish noninferiority of tenecteplase and excluded patients who were ineligible for or refused thrombectomy. Interestingly, the tenecteplase arm, as the authors point out, had numerically greater mortality as well as intracranial hemorrhage, but these differences were not statistically significant between the treatment groups at 90 days. The TRACE-2 results parallel those of AcT, and although there were differences in ethnicity between the 2 trials, the authors cite this as evidence that the results are consistent and provide evidence for the role of tenecteplase in the management of acute ischemic stroke. Limitations of this trial include potential bias from its open-label design, as well as exclusion of patients with more severe strokes eligible for thrombectomy, which may limit generalizability to patients with more disabling strokes who could have a higher risk of intracranial hemorrhage.

Application for Clinical Practice and System Implementation

Across the country, many organizations have adopted the off-label use of tenecteplase for managing fibrinolytic-eligible acute ischemic stroke patients. In most cases, the impetus for change is the ease of dosing and administration of tenecteplase compared to alteplase, while the inclusion and exclusion criteria and overall management remain the same. Timely administration of therapy in stroke is critical. This, along with other time constraints in stroke workflows, the weight-based calculation of alteplase doses, and alteplase’s administration method may lead to medication errors when using this agent to treat patients with acute stroke. The rapid, single-dose administration of tenecteplase removes many barriers that hospitals face when patients may need to be treated and then transferred to another site for further care. Without the worry to “drip and ship,” the completion of administration may allow for timely patient transfer and eliminate the need for monitoring of an infusion during transfer. For some organizations, there may be a potential for drug cost-savings as well as improved metrics, such as door-to-needle time, but the overall effects of switching from alteplase to tenecteplase remain to be seen. Currently, tenecteplase is included in stroke guidelines as a “reasonable choice,” though with a low level of evidence.³ However, these 2 studies support the role of tenecteplase in acute ischemic stroke treatment and may provide a foundation for further studies to establish the role of tenecteplase in the acute ischemic stroke population.

Practice Points

• Tenecteplase may be considered as an alternative to alteplase for acute ischemic stroke for patients who meet eligibility criteria for thrombolytics; this recommendation is included in the most recent stroke guidelines, although tenecteplase has not been demonstrated to be superior to alteplase.
• The ease of administration of tenecteplase as a single intravenous bolus dose represents a benefit compared to alteplase; it is an off-label use, however, and further studies are needed to establish the superiority of tenecteplase in terms of functional and safety outcomes.

– Carol Heunisch, PharmD, BCPS, BCCP
Pharmacy Department, NorthShore–Edward-Elmhurst Health, Evanston, IL

Study 1 Overview (Menon et al)

Objective: To determine whether a 0.25 mg/kg dose of intravenous tenecteplase is noninferior to intravenous alteplase 0.9 mg/kg for patients with acute ischemic stroke eligible for thrombolytic therapy.

Design: Multicenter, parallel-group, open-label randomized controlled trial.

Setting and participants: The trial was conducted at 22 primary and comprehensive stroke centers across Canada. A primary stroke center was defined as a hospital capable of offering intravenous thrombolysis to patients with acute ischemic stroke, while a comprehensive stroke center was able to offer thrombectomy services in addition. The involved centers also participated in Canadian quality improvement registries (either Quality Improvement and Clinical Research [QuiCR] or Optimizing Patient Treatment in Major Ischemic Stroke with EVT [OPTIMISE]) that track patient outcomes. Patients were eligible for inclusion if they were aged 18 years or older, had a diagnosis of acute ischemic stroke, presented within 4.5 hours of symptom onset, and were eligible for thrombolysis according to Canadian guidelines.

Patients were randomized in a 1:1 fashion to either intravenous tenecteplase (0.25 mg/kg single dose, maximum of 25 mg) or intravenous alteplase (0.9 mg/kg total dose to a maximum of 90 mg, delivered as a bolus followed by a continuous infusion). A total of 1600 patients were enrolled, with 816 randomly assigned to the tenecteplase arm and 784 to the alteplase arm; 1577 patients were included in the intention-to-treat (ITT) analysis (n = 806 tenecteplase; n = 771 alteplase). The median age of enrollees was 74 years, and 52.1% of the ITT population were men.

Main outcome measures: In the ITT population, the primary outcome measure was a modified Rankin score (mRS) of 0 or 1 at 90 to 120 days post treatment. Safety outcomes included symptomatic intracerebral hemorrhage, orolingual angioedema, extracranial bleeding that required blood transfusion (all within 24 hours of thrombolytic administration), and all-cause mortality at 90 days. The noninferiority threshold for intravenous tenecteplase was set as the lower 95% CI of the difference between the tenecteplase and alteplase groups in the proportion of patients who met the primary outcome exceeding –5%.

Main results: The primary outcome of mRS of either 0 or 1 at 90 to 120 days of treatment occurred in 296 (36.9%) of the 802 patients assigned to tenecteplase and 266 (34.8%) of the 765 patients assigned to alteplase (unadjusted risk difference, 2.1%; 95% CI, –2.6 to 6.9). The prespecified noninferiority threshold was met. There were no significant differences between the groups in rates of intracerebral hemorrhage at 24 hours or 90-day all-cause mortality.

Conclusion: Intravenous tenecteplase is a reasonable alternative to alteplase for patients eligible for thrombolytic therapy.

Study 2 Overview (Wang et al)

Objective: To determine whether tenecteplase (dose 0.25 mg/kg) is noninferior to alteplase in patients with acute ischemic stroke who are within 4.5 hours of symptom onset and eligible for thrombolytic therapy but either refused or were ineligible for endovascular thrombectomy.

Design: Multicenter, prospective, open-label, randomized, controlled noninferiority trial.

Setting and participants: This trial was conducted at 53 centers across China and included patients 18 years of age or older who were within 4.5 hours of symptom onset and were thrombolytic eligible, had a mRS ≤ 1 at enrollment, and had a National Institutes of Health Stroke Scale score between 5 and 25. Eligible participants were randomized 1:1 to either tenecteplase 0.25 mg/kg (maximum dose 25 mg) or alteplase 0.9 mg/kg (maximum dose 90 mg, administered as a bolus followed by infusion). During the enrollment period (June 12, 2021, to May 29, 2022), a total of 1430 participants were enrolled, and, of those, 716 were randomly assigned to tenecteplase and 714 to alteplase. Six patients assigned to tenecteplase and 7 assigned to alteplase did not receive drugs. At 90 days, 5 in the tenecteplase group and 11 in the alteplase group were lost to follow up.

Main outcome measures: The primary efficacy outcome was a mRS of 0 or 1 at 90 days. The primary safety outcome was intracranial hemorrhage within 36 hours. Safety outcomes included parenchymal hematoma 2, as defined by the European Cooperative Acute Stroke Study III; any intracranial or significant hemorrhage, as defined by the Global Utilization of Streptokinase and Tissue Plasminogen Activator for Occluded Coronary Arteries criteria; and death from all causes at 90 days. Noninferiority for tenecteplase would be declared if the lower 97.5% 1-sided CI for the relative risk (RR) for the primary outcome did not cross 0.937.

Main results: In the modified ITT population, the primary outcome occurred in 439 (62%) of the tenecteplase group and 405 (68%) of the alteplase group (RR, 1.07; 95% CI, 0.98-1.16). This met the prespecified margin for noninferiority. Intracranial hemorrhage within 36 hours was experienced by 15 (2%) patients in the tenecteplase group and 13 (2%) in the alteplase group (RR, 1.18; 95% CI, 0.56-2.50). Death at 90 days occurred in 46 (7%) patients in the tenecteplase group and 35 (5%) in the alteplase group (RR, 1.31; 95% CI, 0.86-2.01).

Conclusion: Tenecteplase was noninferior to alteplase in patients with acute ischemic stroke who met criteria for thrombolysis and either refused or were ineligible for endovascular thrombectomy.

Commentary

Alteplase has been FDA-approved for managing acute ischemic stroke since 1996 and has demonstrated positive effects on functional outcomes. Drawbacks of alteplase therapy, however, include bleeding risk as well as cumbersome administration of a bolus dose followed by a 60-minute infusion. In recent years, the question of whether or not tenecteplase could replace alteplase as the preferred thrombolytic for acute ischemic stroke has garnered much attention. Several features of tenecteplase make it an attractive option, including increased fibrin specificity, a longer half-life, and ease of administration as a single, rapid bolus dose. In phase 2 trials that compared tenecteplase 0.25 mg/kg with alteplase, findings suggested the potential for early neurological improvement as well as improved outcomes at 90 days. While the role of tenecteplase in acute myocardial infarction has been well established due to ease of use and a favorable adverse-effect profile,¹ there is much less evidence from phase 3 randomized controlled clinical trials to secure the role of tenecteplase in acute ischemic stroke.²

Menon et al attempted to close this gap in the literature by conducting a randomized controlled clinical trial (AcT) comparing tenecteplase to alteplase in a Canadian patient population. The trial's patient population mirrors that of real-world data from global registries in terms of age, sex, and baseline stroke severity. In addition, the eligibility window of 4.5 hours from symptom onset as well as the inclusion and exclusion criteria for therapy are common to those utilized in other countries, making the findings generalizable. There were some limitations to the study, however, including the impact of COVID-19 on recruitment efforts as well as limitations of research infrastructure and staffing, which may have limited enrollment efforts at primary stroke centers. Nonetheless, the authors concluded that their results provide evidence that tenecteplase is comparable to alteplase, with similar functional and safety outcomes.

TRACE-2 focused on an Asian patient population and provided follow up to the dose-ranging TRACE-1 phase 2 trial. TRACE-1 showed that tenecteplase 0.25 mg/kg had a similar safety profile to alteplase 0.9 mg/kg in Chinese patients presenting with acute ischemic stroke. TRACE-2 sought to establish noninferiority of tenecteplase and excluded patients who were ineligible for or refused thrombectomy. Interestingly, the tenecteplase arm, as the authors point out, had numerically greater mortality as well as intracranial hemorrhage, but these differences were not statistically significant between the treatment groups at 90 days. The TRACE-2 results parallel those of AcT, and although there were differences in ethnicity between the 2 trials, the authors cite this as evidence that the results are consistent and provide evidence for the role of tenecteplase in the management of acute ischemic stroke. Limitations of this trial include potential bias from its open-label design, as well as exclusion of patients with more severe strokes eligible for thrombectomy, which may limit generalizability to patients with more disabling strokes who could have a higher risk of intracranial hemorrhage.

Application for Clinical Practice and System Implementation

Across the country, many organizations have adopted the off-label use of tenecteplase for managing fibrinolytic-eligible acute ischemic stroke patients. In most cases, the impetus for change is the ease of dosing and administration of tenecteplase compared to alteplase, while the inclusion and exclusion criteria and overall management remain the same. Timely administration of therapy in stroke is critical. This, along with other time constraints in stroke workflows, the weight-based calculation of alteplase doses, and alteplase’s administration method may lead to medication errors when using this agent to treat patients with acute stroke. The rapid, single-dose administration of tenecteplase removes many barriers that hospitals face when patients may need to be treated and then transferred to another site for further care. Without the worry to “drip and ship,” the completion of administration may allow for timely patient transfer and eliminate the need for monitoring of an infusion during transfer. For some organizations, there may be a potential for drug cost-savings as well as improved metrics, such as door-to-needle time, but the overall effects of switching from alteplase to tenecteplase remain to be seen. Currently, tenecteplase is included in stroke guidelines as a “reasonable choice,” though with a low level of evidence.³ However, these 2 studies support the role of tenecteplase in acute ischemic stroke treatment and may provide a foundation for further studies to establish the role of tenecteplase in the acute ischemic stroke population.

Practice Points

• Tenecteplase may be considered as an alternative to alteplase for acute ischemic stroke for patients who meet eligibility criteria for thrombolytics; this recommendation is included in the most recent stroke guidelines, although tenecteplase has not been demonstrated to be superior to alteplase.
• The ease of administration of tenecteplase as a single intravenous bolus dose represents a benefit compared to alteplase; it is an off-label use, however, and further studies are needed to establish the superiority of tenecteplase in terms of functional and safety outcomes.

– Carol Heunisch, PharmD, BCPS, BCCP
Pharmacy Department, NorthShore–Edward-Elmhurst Health, Evanston, IL

Study 1 Overview (Menon et al)

Objective: To determine whether a 0.25 mg/kg dose of intravenous tenecteplase is noninferior to intravenous alteplase 0.9 mg/kg for patients with acute ischemic stroke eligible for thrombolytic therapy.

Design: Multicenter, parallel-group, open-label randomized controlled trial.

Setting and participants: The trial was conducted at 22 primary and comprehensive stroke centers across Canada. A primary stroke center was defined as a hospital capable of offering intravenous thrombolysis to patients with acute ischemic stroke, while a comprehensive stroke center was able to offer thrombectomy services in addition. The involved centers also participated in Canadian quality improvement registries (either Quality Improvement and Clinical Research [QuiCR] or Optimizing Patient Treatment in Major Ischemic Stroke with EVT [OPTIMISE]) that track patient outcomes. Patients were eligible for inclusion if they were aged 18 years or older, had a diagnosis of acute ischemic stroke, presented within 4.5 hours of symptom onset, and were eligible for thrombolysis according to Canadian guidelines.

Patients were randomized in a 1:1 fashion to either intravenous tenecteplase (0.25 mg/kg single dose, maximum of 25 mg) or intravenous alteplase (0.9 mg/kg total dose to a maximum of 90 mg, delivered as a bolus followed by a continuous infusion). A total of 1600 patients were enrolled, with 816 randomly assigned to the tenecteplase arm and 784 to the alteplase arm; 1577 patients were included in the intention-to-treat (ITT) analysis (n = 806 tenecteplase; n = 771 alteplase). The median age of enrollees was 74 years, and 52.1% of the ITT population were men.

Main outcome measures: In the ITT population, the primary outcome measure was a modified Rankin score (mRS) of 0 or 1 at 90 to 120 days post treatment. Safety outcomes included symptomatic intracerebral hemorrhage, orolingual angioedema, extracranial bleeding that required blood transfusion (all within 24 hours of thrombolytic administration), and all-cause mortality at 90 days. The noninferiority threshold for intravenous tenecteplase was set as the lower 95% CI of the difference between the tenecteplase and alteplase groups in the proportion of patients who met the primary outcome exceeding –5%.

Main results: The primary outcome of mRS of either 0 or 1 at 90 to 120 days of treatment occurred in 296 (36.9%) of the 802 patients assigned to tenecteplase and 266 (34.8%) of the 765 patients assigned to alteplase (unadjusted risk difference, 2.1%; 95% CI, –2.6 to 6.9). The prespecified noninferiority threshold was met. There were no significant differences between the groups in rates of intracerebral hemorrhage at 24 hours or 90-day all-cause mortality.

Conclusion: Intravenous tenecteplase is a reasonable alternative to alteplase for patients eligible for thrombolytic therapy.

Study 2 Overview (Wang et al)

Objective: To determine whether tenecteplase (dose 0.25 mg/kg) is noninferior to alteplase in patients with acute ischemic stroke who are within 4.5 hours of symptom onset and eligible for thrombolytic therapy but either refused or were ineligible for endovascular thrombectomy.

Design: Multicenter, prospective, open-label, randomized, controlled noninferiority trial.

Setting and participants: This trial was conducted at 53 centers across China and included patients 18 years of age or older who were within 4.5 hours of symptom onset and were thrombolytic eligible, had a mRS ≤ 1 at enrollment, and had a National Institutes of Health Stroke Scale score between 5 and 25. Eligible participants were randomized 1:1 to either tenecteplase 0.25 mg/kg (maximum dose 25 mg) or alteplase 0.9 mg/kg (maximum dose 90 mg, administered as a bolus followed by infusion). During the enrollment period (June 12, 2021, to May 29, 2022), a total of 1430 participants were enrolled, and, of those, 716 were randomly assigned to tenecteplase and 714 to alteplase. Six patients assigned to tenecteplase and 7 assigned to alteplase did not receive drugs. At 90 days, 5 in the tenecteplase group and 11 in the alteplase group were lost to follow up.

Main outcome measures: The primary efficacy outcome was a mRS of 0 or 1 at 90 days. The primary safety outcome was intracranial hemorrhage within 36 hours. Safety outcomes included parenchymal hematoma 2, as defined by the European Cooperative Acute Stroke Study III; any intracranial or significant hemorrhage, as defined by the Global Utilization of Streptokinase and Tissue Plasminogen Activator for Occluded Coronary Arteries criteria; and death from all causes at 90 days. Noninferiority for tenecteplase would be declared if the lower 97.5% 1-sided CI for the relative risk (RR) for the primary outcome did not cross 0.937.

Main results: In the modified ITT population, the primary outcome occurred in 439 (62%) of the tenecteplase group and 405 (68%) of the alteplase group (RR, 1.07; 95% CI, 0.98-1.16). This met the prespecified margin for noninferiority. Intracranial hemorrhage within 36 hours was experienced by 15 (2%) patients in the tenecteplase group and 13 (2%) in the alteplase group (RR, 1.18; 95% CI, 0.56-2.50). Death at 90 days occurred in 46 (7%) patients in the tenecteplase group and 35 (5%) in the alteplase group (RR, 1.31; 95% CI, 0.86-2.01).

Conclusion: Tenecteplase was noninferior to alteplase in patients with acute ischemic stroke who met criteria for thrombolysis and either refused or were ineligible for endovascular thrombectomy.

Commentary

Alteplase has been FDA-approved for managing acute ischemic stroke since 1996 and has demonstrated positive effects on functional outcomes. Drawbacks of alteplase therapy, however, include bleeding risk as well as cumbersome administration of a bolus dose followed by a 60-minute infusion. In recent years, the question of whether or not tenecteplase could replace alteplase as the preferred thrombolytic for acute ischemic stroke has garnered much attention. Several features of tenecteplase make it an attractive option, including increased fibrin specificity, a longer half-life, and ease of administration as a single, rapid bolus dose. In phase 2 trials that compared tenecteplase 0.25 mg/kg with alteplase, findings suggested the potential for early neurological improvement as well as improved outcomes at 90 days. While the role of tenecteplase in acute myocardial infarction has been well established due to ease of use and a favorable adverse-effect profile,¹ there is much less evidence from phase 3 randomized controlled clinical trials to secure the role of tenecteplase in acute ischemic stroke.²

Menon et al attempted to close this gap in the literature by conducting a randomized controlled clinical trial (AcT) comparing tenecteplase to alteplase in a Canadian patient population. The trial's patient population mirrors that of real-world data from global registries in terms of age, sex, and baseline stroke severity. In addition, the eligibility window of 4.5 hours from symptom onset as well as the inclusion and exclusion criteria for therapy are common to those utilized in other countries, making the findings generalizable. There were some limitations to the study, however, including the impact of COVID-19 on recruitment efforts as well as limitations of research infrastructure and staffing, which may have limited enrollment efforts at primary stroke centers. Nonetheless, the authors concluded that their results provide evidence that tenecteplase is comparable to alteplase, with similar functional and safety outcomes.

TRACE-2 focused on an Asian patient population and provided follow up to the dose-ranging TRACE-1 phase 2 trial. TRACE-1 showed that tenecteplase 0.25 mg/kg had a similar safety profile to alteplase 0.9 mg/kg in Chinese patients presenting with acute ischemic stroke. TRACE-2 sought to establish noninferiority of tenecteplase and excluded patients who were ineligible for or refused thrombectomy. Interestingly, the tenecteplase arm, as the authors point out, had numerically greater mortality as well as intracranial hemorrhage, but these differences were not statistically significant between the treatment groups at 90 days. The TRACE-2 results parallel those of AcT, and although there were differences in ethnicity between the 2 trials, the authors cite this as evidence that the results are consistent and provide evidence for the role of tenecteplase in the management of acute ischemic stroke. Limitations of this trial include potential bias from its open-label design, as well as exclusion of patients with more severe strokes eligible for thrombectomy, which may limit generalizability to patients with more disabling strokes who could have a higher risk of intracranial hemorrhage.

Application for Clinical Practice and System Implementation

Across the country, many organizations have adopted the off-label use of tenecteplase for managing fibrinolytic-eligible acute ischemic stroke patients. In most cases, the impetus for change is the ease of dosing and administration of tenecteplase compared to alteplase, while the inclusion and exclusion criteria and overall management remain the same. Timely administration of therapy in stroke is critical. This, along with other time constraints in stroke workflows, the weight-based calculation of alteplase doses, and alteplase’s administration method may lead to medication errors when using this agent to treat patients with acute stroke. The rapid, single-dose administration of tenecteplase removes many barriers that hospitals face when patients may need to be treated and then transferred to another site for further care. Without the worry to “drip and ship,” the completion of administration may allow for timely patient transfer and eliminate the need for monitoring of an infusion during transfer. For some organizations, there may be a potential for drug cost-savings as well as improved metrics, such as door-to-needle time, but the overall effects of switching from alteplase to tenecteplase remain to be seen. Currently, tenecteplase is included in stroke guidelines as a “reasonable choice,” though with a low level of evidence.³ However, these 2 studies support the role of tenecteplase in acute ischemic stroke treatment and may provide a foundation for further studies to establish the role of tenecteplase in the acute ischemic stroke population.

Practice Points

• Tenecteplase may be considered as an alternative to alteplase for acute ischemic stroke for patients who meet eligibility criteria for thrombolytics; this recommendation is included in the most recent stroke guidelines, although tenecteplase has not been demonstrated to be superior to alteplase.
• The ease of administration of tenecteplase as a single intravenous bolus dose represents a benefit compared to alteplase; it is an off-label use, however, and further studies are needed to establish the superiority of tenecteplase in terms of functional and safety outcomes.

– Carol Heunisch, PharmD, BCPS, BCCP
Pharmacy Department, NorthShore–Edward-Elmhurst Health, Evanston, IL

Both tooth loss and diabetes can lead to accelerated cognitive decline in older adults, most specifically in those 65-74 years of age, new findings suggest.

The data come from a 12-year follow-up of older adults in a nationally representative U.S. survey.

“From a clinical perspective, our study demonstrates the importance of improving access to dental health care and integrating primary dental and medical care. Health care professionals and family caregivers should pay close attention to the cognitive status of diabetic older adults with poor oral health status,” lead author Bei Wu, PhD, of New York University, said in an interview. Dr. Wu is the Dean’s Professor in Global Health and codirector of the NYU Aging Incubator.

Moreover, said Dr. Wu: “For individuals with both poor oral health and diabetes, regular dental visits should be encouraged in addition to adherence to the diabetes self-care protocol.”

Diabetes has long been recognized as a risk factor for cognitive decline, but the findings have been inconsistent for different age groups. Tooth loss has also been linked to cognitive decline and dementia, as well as diabetes.

The mechanisms aren’t entirely clear, but “co-occurring diabetes and poor oral health may increase the risk for dementia, possibly via the potentially interrelated pathways of chronic inflammation and cardiovascular risk factors,” Dr. Wu said.

The new study, published in the Journal of Dental Research, is the first to examine the relationships between all three conditions by age group.  
 

Diabetes, edentulism, and cognitive decline

The data came from a total of 9,948 participants in the Health and Retirement Study (HRS) from 2006 to 2018. At baseline, 5,440 participants were aged 65-74 years, 3,300 were aged 75-84, and 1,208 were aged 85 years or older.

They were assessed every 2 years using the 35-point Telephone Survey for Cognitive Status, which included tests of immediate and delayed word recall, repeated subtracting by 7, counting backward from 20, naming objects, and naming the president and vice president of the U.S. As might be expected, the youngest group scored the highest, averaging 23 points, while the oldest group scored lowest, at 18.5 points.

Participants were also asked if they had ever been told by a doctor that they have diabetes. Another question was: “Have you lost all of your upper and lower natural permanent teeth?”

The condition of having no teeth is known as edentulism.

The percentages of participants who reported having both diabetes and edentulism were 6.0%, 6.7%, and 5.0% for those aged 65-74 years, 75-84 years, and 85 years or older, respectively. The proportions with neither of those conditions were 63.5%, 60.4%, and 58.3% in those three age groups, respectively (P < .001).

Compared with their counterparts with neither diabetes nor edentulism at baseline, older adults with both conditions aged 65-74 years (P < .001) and aged 75-84 years had worse cognitive function (P < .001).

In terms of the rate of cognitive decline, compared with those with neither condition from the same age cohort, older adults aged 65-74 years with both conditions declined at a higher rate (P < .001).

Having diabetes alone led to accelerated cognitive decline in older adults aged 65-74 years (P < .001). Having edentulism alone led to accelerated decline in older adults aged 65-74 years (P < .001) and older adults aged 75-84 years (P < 0.01).

“Our study finds the co-occurrence of diabetes and edentulism led to a worse cognitive function and a faster cognitive decline in older adults aged 65-74 years,” say Wu and colleagues.
 

Study limitations: Better data needed

The study has several limitations, most of them due to the data source. For example, while the HRS collects detailed information on cognitive status, edentulism is its only measure of oral health. There were no data on whether individuals had replacements such as dentures or implants that would affect their ability to eat, which could influence other health factors.

“I have made repeated appeals for federal funding to collect more oral health-related information in large national surveys,” Dr. Wu told this news organization.

Similarly, assessments of diabetes status such as hemoglobin A1c were only available for small subsets and not sufficient to demonstrate statistical significance, she explained.

Dr. Wu suggested that both oral health and cognitive screening might be included in the “Welcome to Medicare” preventive visit. In addition, “Oral hygiene practice should also be highlighted to improve cognitive health. Developing dental care interventions and programs are needed for reducing the societal cost of dementia.”

The study was partially supported by the National Institutes of Health. The authors have reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Both tooth loss and diabetes can lead to accelerated cognitive decline in older adults, most specifically in those 65-74 years of age, new findings suggest.

The data come from a 12-year follow-up of older adults in a nationally representative U.S. survey.

“From a clinical perspective, our study demonstrates the importance of improving access to dental health care and integrating primary dental and medical care. Health care professionals and family caregivers should pay close attention to the cognitive status of diabetic older adults with poor oral health status,” lead author Bei Wu, PhD, of New York University, said in an interview. Dr. Wu is the Dean’s Professor in Global Health and codirector of the NYU Aging Incubator.

Moreover, said Dr. Wu: “For individuals with both poor oral health and diabetes, regular dental visits should be encouraged in addition to adherence to the diabetes self-care protocol.”

Diabetes has long been recognized as a risk factor for cognitive decline, but the findings have been inconsistent for different age groups. Tooth loss has also been linked to cognitive decline and dementia, as well as diabetes.

The mechanisms aren’t entirely clear, but “co-occurring diabetes and poor oral health may increase the risk for dementia, possibly via the potentially interrelated pathways of chronic inflammation and cardiovascular risk factors,” Dr. Wu said.

The new study, published in the Journal of Dental Research, is the first to examine the relationships between all three conditions by age group.  
 

Diabetes, edentulism, and cognitive decline

The data came from a total of 9,948 participants in the Health and Retirement Study (HRS) from 2006 to 2018. At baseline, 5,440 participants were aged 65-74 years, 3,300 were aged 75-84, and 1,208 were aged 85 years or older.

They were assessed every 2 years using the 35-point Telephone Survey for Cognitive Status, which included tests of immediate and delayed word recall, repeated subtracting by 7, counting backward from 20, naming objects, and naming the president and vice president of the U.S. As might be expected, the youngest group scored the highest, averaging 23 points, while the oldest group scored lowest, at 18.5 points.

Participants were also asked if they had ever been told by a doctor that they have diabetes. Another question was: “Have you lost all of your upper and lower natural permanent teeth?”

The condition of having no teeth is known as edentulism.

The percentages of participants who reported having both diabetes and edentulism were 6.0%, 6.7%, and 5.0% for those aged 65-74 years, 75-84 years, and 85 years or older, respectively. The proportions with neither of those conditions were 63.5%, 60.4%, and 58.3% in those three age groups, respectively (P < .001).

Compared with their counterparts with neither diabetes nor edentulism at baseline, older adults with both conditions aged 65-74 years (P < .001) and aged 75-84 years had worse cognitive function (P < .001).

In terms of the rate of cognitive decline, compared with those with neither condition from the same age cohort, older adults aged 65-74 years with both conditions declined at a higher rate (P < .001).

Having diabetes alone led to accelerated cognitive decline in older adults aged 65-74 years (P < .001). Having edentulism alone led to accelerated decline in older adults aged 65-74 years (P < .001) and older adults aged 75-84 years (P < 0.01).

“Our study finds the co-occurrence of diabetes and edentulism led to a worse cognitive function and a faster cognitive decline in older adults aged 65-74 years,” say Wu and colleagues.
 

Study limitations: Better data needed

The study has several limitations, most of them due to the data source. For example, while the HRS collects detailed information on cognitive status, edentulism is its only measure of oral health. There were no data on whether individuals had replacements such as dentures or implants that would affect their ability to eat, which could influence other health factors.

“I have made repeated appeals for federal funding to collect more oral health-related information in large national surveys,” Dr. Wu told this news organization.

Similarly, assessments of diabetes status such as hemoglobin A1c were only available for small subsets and not sufficient to demonstrate statistical significance, she explained.

Dr. Wu suggested that both oral health and cognitive screening might be included in the “Welcome to Medicare” preventive visit. In addition, “Oral hygiene practice should also be highlighted to improve cognitive health. Developing dental care interventions and programs are needed for reducing the societal cost of dementia.”

The study was partially supported by the National Institutes of Health. The authors have reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Both tooth loss and diabetes can lead to accelerated cognitive decline in older adults, most specifically in those 65-74 years of age, new findings suggest.

The data come from a 12-year follow-up of older adults in a nationally representative U.S. survey.

“From a clinical perspective, our study demonstrates the importance of improving access to dental health care and integrating primary dental and medical care. Health care professionals and family caregivers should pay close attention to the cognitive status of diabetic older adults with poor oral health status,” lead author Bei Wu, PhD, of New York University, said in an interview. Dr. Wu is the Dean’s Professor in Global Health and codirector of the NYU Aging Incubator.

Moreover, said Dr. Wu: “For individuals with both poor oral health and diabetes, regular dental visits should be encouraged in addition to adherence to the diabetes self-care protocol.”

Diabetes has long been recognized as a risk factor for cognitive decline, but the findings have been inconsistent for different age groups. Tooth loss has also been linked to cognitive decline and dementia, as well as diabetes.

The mechanisms aren’t entirely clear, but “co-occurring diabetes and poor oral health may increase the risk for dementia, possibly via the potentially interrelated pathways of chronic inflammation and cardiovascular risk factors,” Dr. Wu said.

The new study, published in the Journal of Dental Research, is the first to examine the relationships between all three conditions by age group.  
 

Diabetes, edentulism, and cognitive decline

The data came from a total of 9,948 participants in the Health and Retirement Study (HRS) from 2006 to 2018. At baseline, 5,440 participants were aged 65-74 years, 3,300 were aged 75-84, and 1,208 were aged 85 years or older.

They were assessed every 2 years using the 35-point Telephone Survey for Cognitive Status, which included tests of immediate and delayed word recall, repeated subtracting by 7, counting backward from 20, naming objects, and naming the president and vice president of the U.S. As might be expected, the youngest group scored the highest, averaging 23 points, while the oldest group scored lowest, at 18.5 points.

Participants were also asked if they had ever been told by a doctor that they have diabetes. Another question was: “Have you lost all of your upper and lower natural permanent teeth?”

The condition of having no teeth is known as edentulism.

The percentages of participants who reported having both diabetes and edentulism were 6.0%, 6.7%, and 5.0% for those aged 65-74 years, 75-84 years, and 85 years or older, respectively. The proportions with neither of those conditions were 63.5%, 60.4%, and 58.3% in those three age groups, respectively (P < .001).

Compared with their counterparts with neither diabetes nor edentulism at baseline, older adults with both conditions aged 65-74 years (P < .001) and aged 75-84 years had worse cognitive function (P < .001).

In terms of the rate of cognitive decline, compared with those with neither condition from the same age cohort, older adults aged 65-74 years with both conditions declined at a higher rate (P < .001).

Having diabetes alone led to accelerated cognitive decline in older adults aged 65-74 years (P < .001). Having edentulism alone led to accelerated decline in older adults aged 65-74 years (P < .001) and older adults aged 75-84 years (P < 0.01).

“Our study finds the co-occurrence of diabetes and edentulism led to a worse cognitive function and a faster cognitive decline in older adults aged 65-74 years,” say Wu and colleagues.
 

Study limitations: Better data needed

The study has several limitations, most of them due to the data source. For example, while the HRS collects detailed information on cognitive status, edentulism is its only measure of oral health. There were no data on whether individuals had replacements such as dentures or implants that would affect their ability to eat, which could influence other health factors.

“I have made repeated appeals for federal funding to collect more oral health-related information in large national surveys,” Dr. Wu told this news organization.

Similarly, assessments of diabetes status such as hemoglobin A1c were only available for small subsets and not sufficient to demonstrate statistical significance, she explained.

Dr. Wu suggested that both oral health and cognitive screening might be included in the “Welcome to Medicare” preventive visit. In addition, “Oral hygiene practice should also be highlighted to improve cognitive health. Developing dental care interventions and programs are needed for reducing the societal cost of dementia.”

The study was partially supported by the National Institutes of Health. The authors have reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Urine drug testing can be valuable for monitoring patients undergoing treatment with buprenorphine for opioid use disorder (OUD). However, some patients alter their test results by adding buprenorphine directly to their urine sample to imply adherence, a new study shows.

In the study, nearly 2% of all urine drug test specimens analyzed were suggestive of spiking and nearly 8% of patients had at least one specimen that was possibly spiked.

“I anticipate a much-needed increase” in the number of people gaining access to buprenorphine therapy, given elimination of the X waiver, first author Jarratt D. Pytell, MD, with University of Colorado at Denver, Aurora, said in a statement.

“New prescribers of buprenorphine will need to learn how to conduct the increasingly complex initiation of treatment and then gauge whether it is successful or not,” added Dr. Pytell, a general internist and addiction medicine specialist.

“Spiking suggests that treatment is not working – especially in patients continuing illicit drug use. Detecting spiking allows clinicians to adjust or intensify the treatment plan,” Dr. Pytell said in an interview.

The study was published online in JAMA Psychiatry.
 

A sign of elevated patient risk

In a cross-sectional study using Millennium Health’s proprietary urine drug test (UDT) database, researchers analyzed 507,735 urine specimens from 58,476 OUD patients collected between January 2017 and April 2022.

A total of 9546 (1.9%) specimens from 4,550 patients (7.6%) were suggestive of spiking.

UDT specimens suggestive of spiking had two times the odds of being positive for other opioids (fentanyl or heroin), compared with opioid negative samples.

UDT specimens obtained from primary care clinics, from patients aged 35-44 years, and from patients living in the South Atlantic region of the United States were also more likely to be suggestive of buprenorphine spiking.

“Our study demonstrated that a buprenorphine to norbuprenorphine ratio of less than 0.02 indicates the possibility of spiking,” Dr. Pytell said in an interview.

“Nevertheless, it is important to note that this cutoff is not a definitive standard and further controlled studies are necessary to determine its predictive value for spiking. But recognizing possible spiking is very important since it demonstrates a point of elevated risk for the patient and the treatment approach should be reconsidered,” Dr. Pytell said.

“At Millennium Health, we have been tracking the enormity of the drug use crisis. This study suggests that spiking is an important patient safety issue, and it is not uncommon,” study coauthor Eric Dawson, PharmD, vice president of clinical affairs, Millennium Health, said in a statement.

“Detection of spiking requires definitive drug testing. Immunoassay-based, point-of-care tests cannot detect spiking because they are generally incapable of quantitative analysis and differentiating buprenorphine from norbuprenorphine,” Dr. Dawson said.
 

Best practices?

“We need to develop best practices specific for this situation where a patient has added buprenorphine to the urine drug test specimen,” said Dr. Pytell.

“As with all unexpected findings, it is crucial for clinicians to approach this finding in a nonjudgmental manner and work with the patient to understand what might have motivated them to alter their urine specimen,” he added.

Dr. Pytell said a common reaction for clinicians might be to discontinue treatment. However, this is actually a time to try and engage with the patient.

“Clinicians should work collaboratively with patients to identify potential reasons for spiking and determine what changes may need to be made to better support the patient’s recovery,” Dr. Pytell said.

“This could include more frequent monitoring or referral to a higher level of care. In addition, clinicians should be aware that patients who engage in spiking may be experiencing other challenges that impact their ability to adhere to treatment, such as inadequate housing, mental health issues, or financial strain. Addressing these underlying issues may help patients overcome barriers to treatment adherence and reduce the likelihood of future spiking,” Dr. Pytell said.

This study was supported by Millennium Health. The authors have no relevant disclosures.

A version of this article first appeared on Medscape.com.

Urine drug testing can be valuable for monitoring patients undergoing treatment with buprenorphine for opioid use disorder (OUD). However, some patients alter their test results by adding buprenorphine directly to their urine sample to imply adherence, a new study shows.

In the study, nearly 2% of all urine drug test specimens analyzed were suggestive of spiking and nearly 8% of patients had at least one specimen that was possibly spiked.

“I anticipate a much-needed increase” in the number of people gaining access to buprenorphine therapy, given elimination of the X waiver, first author Jarratt D. Pytell, MD, with University of Colorado at Denver, Aurora, said in a statement.

“New prescribers of buprenorphine will need to learn how to conduct the increasingly complex initiation of treatment and then gauge whether it is successful or not,” added Dr. Pytell, a general internist and addiction medicine specialist.

“Spiking suggests that treatment is not working – especially in patients continuing illicit drug use. Detecting spiking allows clinicians to adjust or intensify the treatment plan,” Dr. Pytell said in an interview.

The study was published online in JAMA Psychiatry.
 

A sign of elevated patient risk

In a cross-sectional study using Millennium Health’s proprietary urine drug test (UDT) database, researchers analyzed 507,735 urine specimens from 58,476 OUD patients collected between January 2017 and April 2022.

A total of 9546 (1.9%) specimens from 4,550 patients (7.6%) were suggestive of spiking.

UDT specimens suggestive of spiking had two times the odds of being positive for other opioids (fentanyl or heroin), compared with opioid negative samples.

UDT specimens obtained from primary care clinics, from patients aged 35-44 years, and from patients living in the South Atlantic region of the United States were also more likely to be suggestive of buprenorphine spiking.

“Our study demonstrated that a buprenorphine to norbuprenorphine ratio of less than 0.02 indicates the possibility of spiking,” Dr. Pytell said in an interview.

“Nevertheless, it is important to note that this cutoff is not a definitive standard and further controlled studies are necessary to determine its predictive value for spiking. But recognizing possible spiking is very important since it demonstrates a point of elevated risk for the patient and the treatment approach should be reconsidered,” Dr. Pytell said.

“At Millennium Health, we have been tracking the enormity of the drug use crisis. This study suggests that spiking is an important patient safety issue, and it is not uncommon,” study coauthor Eric Dawson, PharmD, vice president of clinical affairs, Millennium Health, said in a statement.

“Detection of spiking requires definitive drug testing. Immunoassay-based, point-of-care tests cannot detect spiking because they are generally incapable of quantitative analysis and differentiating buprenorphine from norbuprenorphine,” Dr. Dawson said.
 

Best practices?

“We need to develop best practices specific for this situation where a patient has added buprenorphine to the urine drug test specimen,” said Dr. Pytell.

“As with all unexpected findings, it is crucial for clinicians to approach this finding in a nonjudgmental manner and work with the patient to understand what might have motivated them to alter their urine specimen,” he added.

Dr. Pytell said a common reaction for clinicians might be to discontinue treatment. However, this is actually a time to try and engage with the patient.

“Clinicians should work collaboratively with patients to identify potential reasons for spiking and determine what changes may need to be made to better support the patient’s recovery,” Dr. Pytell said.

“This could include more frequent monitoring or referral to a higher level of care. In addition, clinicians should be aware that patients who engage in spiking may be experiencing other challenges that impact their ability to adhere to treatment, such as inadequate housing, mental health issues, or financial strain. Addressing these underlying issues may help patients overcome barriers to treatment adherence and reduce the likelihood of future spiking,” Dr. Pytell said.

This study was supported by Millennium Health. The authors have no relevant disclosures.

A version of this article first appeared on Medscape.com.

Urine drug testing can be valuable for monitoring patients undergoing treatment with buprenorphine for opioid use disorder (OUD). However, some patients alter their test results by adding buprenorphine directly to their urine sample to imply adherence, a new study shows.

In the study, nearly 2% of all urine drug test specimens analyzed were suggestive of spiking and nearly 8% of patients had at least one specimen that was possibly spiked.

“I anticipate a much-needed increase” in the number of people gaining access to buprenorphine therapy, given elimination of the X waiver, first author Jarratt D. Pytell, MD, with University of Colorado at Denver, Aurora, said in a statement.

“New prescribers of buprenorphine will need to learn how to conduct the increasingly complex initiation of treatment and then gauge whether it is successful or not,” added Dr. Pytell, a general internist and addiction medicine specialist.

“Spiking suggests that treatment is not working – especially in patients continuing illicit drug use. Detecting spiking allows clinicians to adjust or intensify the treatment plan,” Dr. Pytell said in an interview.

The study was published online in JAMA Psychiatry.
 

A sign of elevated patient risk

In a cross-sectional study using Millennium Health’s proprietary urine drug test (UDT) database, researchers analyzed 507,735 urine specimens from 58,476 OUD patients collected between January 2017 and April 2022.

A total of 9546 (1.9%) specimens from 4,550 patients (7.6%) were suggestive of spiking.

UDT specimens suggestive of spiking had two times the odds of being positive for other opioids (fentanyl or heroin), compared with opioid negative samples.

UDT specimens obtained from primary care clinics, from patients aged 35-44 years, and from patients living in the South Atlantic region of the United States were also more likely to be suggestive of buprenorphine spiking.

“Our study demonstrated that a buprenorphine to norbuprenorphine ratio of less than 0.02 indicates the possibility of spiking,” Dr. Pytell said in an interview.

“Nevertheless, it is important to note that this cutoff is not a definitive standard and further controlled studies are necessary to determine its predictive value for spiking. But recognizing possible spiking is very important since it demonstrates a point of elevated risk for the patient and the treatment approach should be reconsidered,” Dr. Pytell said.

“At Millennium Health, we have been tracking the enormity of the drug use crisis. This study suggests that spiking is an important patient safety issue, and it is not uncommon,” study coauthor Eric Dawson, PharmD, vice president of clinical affairs, Millennium Health, said in a statement.

“Detection of spiking requires definitive drug testing. Immunoassay-based, point-of-care tests cannot detect spiking because they are generally incapable of quantitative analysis and differentiating buprenorphine from norbuprenorphine,” Dr. Dawson said.
 

Best practices?

“We need to develop best practices specific for this situation where a patient has added buprenorphine to the urine drug test specimen,” said Dr. Pytell.

“As with all unexpected findings, it is crucial for clinicians to approach this finding in a nonjudgmental manner and work with the patient to understand what might have motivated them to alter their urine specimen,” he added.

Dr. Pytell said a common reaction for clinicians might be to discontinue treatment. However, this is actually a time to try and engage with the patient.

“Clinicians should work collaboratively with patients to identify potential reasons for spiking and determine what changes may need to be made to better support the patient’s recovery,” Dr. Pytell said.

“This could include more frequent monitoring or referral to a higher level of care. In addition, clinicians should be aware that patients who engage in spiking may be experiencing other challenges that impact their ability to adhere to treatment, such as inadequate housing, mental health issues, or financial strain. Addressing these underlying issues may help patients overcome barriers to treatment adherence and reduce the likelihood of future spiking,” Dr. Pytell said.

This study was supported by Millennium Health. The authors have no relevant disclosures.

A version of this article first appeared on Medscape.com.

People with epilepsy have a twofold increased risk for death, compared with their counterparts without the condition, irrespective of comorbidities or disease severity, new research shows.

“To our knowledge, this is the only study that has assessed the cause-specific mortality risk among people with epilepsy according to age and disease course,” investigators led by Seo-Young Lee, MD, PhD, of Kangwon National University, Chuncheon, South Korea, write. “Understanding cause-specific mortality risk, particularly the risk of external causes, is important because they are mostly preventable.”

The findings were published online  in Neurology.
 

Higher mortality risk

For the study, researchers analyzed data from the National Health Insurance Service database in Korea from 2006 to 2017 and vital statistics from Statistics Korea from 2008 to 2017.

The study population included 138,998 patients with newly treated epilepsy, with an average at diagnosis of 48.6 years.

Over 665,928 person years of follow-up (mean follow-up, 4.79 years), 20.095 patients died.

People with epilepsy had more than twice the risk for death, compared with the overall population (standardized mortality ratio, 2.25; 95% confidence interval, 2.22-2.28). Mortality was highest in children aged 4 years or younger and was higher in the first year after diagnosis and in women at all age points.

People with epilepsy had a higher mortality risk, compared with the general public, regardless of how many anti-seizure medications they were taking. Those taking only one medication had a 156% higher risk for death (SMR, 1.56; 95% CI, 1.53-1.60), compared with 493% higher risk in those taking four or more medications (SMR, 4.93; 95% CI, 4.76-5.10).

Where patients lived also played a role in mortality risk. Living in a rural area was associated with a 247% higher risk for death, compared with people without epilepsy who lived in the same area (SMR, 2.47; 95% CI, 2.41-2.53), and the risk was 203% higher risk among those living in urban centers (SMR, 2.03; 95% CI, 1.98-2.09).

Although people with comorbidities had higher mortality rates, even those without any other health conditions had a 161% higher risk for death, compared with people without epilepsy (SMR, 1.61; 95% CI, 1.50-1.72).
 

Causes of death

The most frequent causes of death were malignant neoplasm and cerebrovascular disease, which researchers noted are thought to be underlying causes of epilepsy.

Among external causes of death, suicide was the most common cause (2.6%). The suicide rate was highest among younger patients and gradually decreased with age.

Deaths tied directly to epilepsy, transport accidents, or falls were lower in this study than had been previously reported, which may be due to adequate seizure control or because the number of older people with epilepsy and comorbidities is higher in Korea than that reported in other countries.

“To reduce mortality in people with epilepsy, comprehensive efforts [are needed], including a national policy against stigma of epilepsy and clinicians’ total management such as risk stratification, education about injury prevention, and monitoring for suicidal ideation with psychological intervention, as well as active control of seizures,” the authors write.
 

Generalizable findings

Joseph Sirven, MD, professor of neurology at Mayo Clinic Florida, Jacksonville, said that although the study included only Korean patients, the findings are applicable to other counties.

That researchers found patients with epilepsy were more than twice as likely to die prematurely, compared with the general population wasn’t particularly surprising, Dr. Sirven said.

“What struck me the most was the fact that even patients who were on a single drug and seemingly well controlled also had excess mortality reported,” Dr. Sirven said. “That these risks occur should be part of what we tell all patients with epilepsy so that they can better arm themselves with information and help to address some of the risks that this study showed.”

Another important finding is the risk for suicide in patients with epilepsy, especially those who are newly diagnosed, he said.

“When we treat a patient with epilepsy, it should not just be about seizures, but we need to inquire about the psychiatric comorbidities and more importantly manage them in a comprehensive manner,” Dr. Sirven said.

The study was funded by Soonchunhyang University Research Fund and the Korea Health Technology R&D Project. The study authors and Dr. Sirven report no relevant financial conflicts.

A version of this article first appeared on Medscape.com.

People with epilepsy have a twofold increased risk for death, compared with their counterparts without the condition, irrespective of comorbidities or disease severity, new research shows.

“To our knowledge, this is the only study that has assessed the cause-specific mortality risk among people with epilepsy according to age and disease course,” investigators led by Seo-Young Lee, MD, PhD, of Kangwon National University, Chuncheon, South Korea, write. “Understanding cause-specific mortality risk, particularly the risk of external causes, is important because they are mostly preventable.”

The findings were published online  in Neurology.
 

Higher mortality risk

For the study, researchers analyzed data from the National Health Insurance Service database in Korea from 2006 to 2017 and vital statistics from Statistics Korea from 2008 to 2017.

The study population included 138,998 patients with newly treated epilepsy, with an average at diagnosis of 48.6 years.

Over 665,928 person years of follow-up (mean follow-up, 4.79 years), 20.095 patients died.

People with epilepsy had more than twice the risk for death, compared with the overall population (standardized mortality ratio, 2.25; 95% confidence interval, 2.22-2.28). Mortality was highest in children aged 4 years or younger and was higher in the first year after diagnosis and in women at all age points.

People with epilepsy had a higher mortality risk, compared with the general public, regardless of how many anti-seizure medications they were taking. Those taking only one medication had a 156% higher risk for death (SMR, 1.56; 95% CI, 1.53-1.60), compared with 493% higher risk in those taking four or more medications (SMR, 4.93; 95% CI, 4.76-5.10).

Where patients lived also played a role in mortality risk. Living in a rural area was associated with a 247% higher risk for death, compared with people without epilepsy who lived in the same area (SMR, 2.47; 95% CI, 2.41-2.53), and the risk was 203% higher risk among those living in urban centers (SMR, 2.03; 95% CI, 1.98-2.09).

Although people with comorbidities had higher mortality rates, even those without any other health conditions had a 161% higher risk for death, compared with people without epilepsy (SMR, 1.61; 95% CI, 1.50-1.72).
 

Causes of death

The most frequent causes of death were malignant neoplasm and cerebrovascular disease, which researchers noted are thought to be underlying causes of epilepsy.

Among external causes of death, suicide was the most common cause (2.6%). The suicide rate was highest among younger patients and gradually decreased with age.

Deaths tied directly to epilepsy, transport accidents, or falls were lower in this study than had been previously reported, which may be due to adequate seizure control or because the number of older people with epilepsy and comorbidities is higher in Korea than that reported in other countries.

“To reduce mortality in people with epilepsy, comprehensive efforts [are needed], including a national policy against stigma of epilepsy and clinicians’ total management such as risk stratification, education about injury prevention, and monitoring for suicidal ideation with psychological intervention, as well as active control of seizures,” the authors write.
 

Generalizable findings

Joseph Sirven, MD, professor of neurology at Mayo Clinic Florida, Jacksonville, said that although the study included only Korean patients, the findings are applicable to other counties.

That researchers found patients with epilepsy were more than twice as likely to die prematurely, compared with the general population wasn’t particularly surprising, Dr. Sirven said.

“What struck me the most was the fact that even patients who were on a single drug and seemingly well controlled also had excess mortality reported,” Dr. Sirven said. “That these risks occur should be part of what we tell all patients with epilepsy so that they can better arm themselves with information and help to address some of the risks that this study showed.”

Another important finding is the risk for suicide in patients with epilepsy, especially those who are newly diagnosed, he said.

“When we treat a patient with epilepsy, it should not just be about seizures, but we need to inquire about the psychiatric comorbidities and more importantly manage them in a comprehensive manner,” Dr. Sirven said.

The study was funded by Soonchunhyang University Research Fund and the Korea Health Technology R&D Project. The study authors and Dr. Sirven report no relevant financial conflicts.

A version of this article first appeared on Medscape.com.

People with epilepsy have a twofold increased risk for death, compared with their counterparts without the condition, irrespective of comorbidities or disease severity, new research shows.

“To our knowledge, this is the only study that has assessed the cause-specific mortality risk among people with epilepsy according to age and disease course,” investigators led by Seo-Young Lee, MD, PhD, of Kangwon National University, Chuncheon, South Korea, write. “Understanding cause-specific mortality risk, particularly the risk of external causes, is important because they are mostly preventable.”

The findings were published online  in Neurology.
 

Higher mortality risk

For the study, researchers analyzed data from the National Health Insurance Service database in Korea from 2006 to 2017 and vital statistics from Statistics Korea from 2008 to 2017.

The study population included 138,998 patients with newly treated epilepsy, with an average at diagnosis of 48.6 years.

Over 665,928 person years of follow-up (mean follow-up, 4.79 years), 20.095 patients died.

People with epilepsy had more than twice the risk for death, compared with the overall population (standardized mortality ratio, 2.25; 95% confidence interval, 2.22-2.28). Mortality was highest in children aged 4 years or younger and was higher in the first year after diagnosis and in women at all age points.

People with epilepsy had a higher mortality risk, compared with the general public, regardless of how many anti-seizure medications they were taking. Those taking only one medication had a 156% higher risk for death (SMR, 1.56; 95% CI, 1.53-1.60), compared with 493% higher risk in those taking four or more medications (SMR, 4.93; 95% CI, 4.76-5.10).

Where patients lived also played a role in mortality risk. Living in a rural area was associated with a 247% higher risk for death, compared with people without epilepsy who lived in the same area (SMR, 2.47; 95% CI, 2.41-2.53), and the risk was 203% higher risk among those living in urban centers (SMR, 2.03; 95% CI, 1.98-2.09).

Although people with comorbidities had higher mortality rates, even those without any other health conditions had a 161% higher risk for death, compared with people without epilepsy (SMR, 1.61; 95% CI, 1.50-1.72).
 

Causes of death

The most frequent causes of death were malignant neoplasm and cerebrovascular disease, which researchers noted are thought to be underlying causes of epilepsy.

Among external causes of death, suicide was the most common cause (2.6%). The suicide rate was highest among younger patients and gradually decreased with age.

Deaths tied directly to epilepsy, transport accidents, or falls were lower in this study than had been previously reported, which may be due to adequate seizure control or because the number of older people with epilepsy and comorbidities is higher in Korea than that reported in other countries.

“To reduce mortality in people with epilepsy, comprehensive efforts [are needed], including a national policy against stigma of epilepsy and clinicians’ total management such as risk stratification, education about injury prevention, and monitoring for suicidal ideation with psychological intervention, as well as active control of seizures,” the authors write.
 

Generalizable findings

Joseph Sirven, MD, professor of neurology at Mayo Clinic Florida, Jacksonville, said that although the study included only Korean patients, the findings are applicable to other counties.

That researchers found patients with epilepsy were more than twice as likely to die prematurely, compared with the general population wasn’t particularly surprising, Dr. Sirven said.

“What struck me the most was the fact that even patients who were on a single drug and seemingly well controlled also had excess mortality reported,” Dr. Sirven said. “That these risks occur should be part of what we tell all patients with epilepsy so that they can better arm themselves with information and help to address some of the risks that this study showed.”

Another important finding is the risk for suicide in patients with epilepsy, especially those who are newly diagnosed, he said.

“When we treat a patient with epilepsy, it should not just be about seizures, but we need to inquire about the psychiatric comorbidities and more importantly manage them in a comprehensive manner,” Dr. Sirven said.

The study was funded by Soonchunhyang University Research Fund and the Korea Health Technology R&D Project. The study authors and Dr. Sirven report no relevant financial conflicts.

A version of this article first appeared on Medscape.com.

Restless legs syndrome (RLS) is associated with an elevated risk of dementia among older adults, suggesting the disorder may be a risk factor for dementia or a very early noncognitive sign of dementia, researchers say.

In a large population-based cohort study, adults with RLS were significantly more likely to develop dementia over more than a decade than were their peers without RLS.

If confirmed in future studies, “regular check-ups for cognitive decline in older patients with RLS may facilitate earlier detection and intervention for those with dementia risk,” wrote investigators led by Eosu Kim, MD, PhD, with Yonsei University, Seoul, Republic of Korea.

The study was published online in Alzheimer’s Research and Therapy.
 

Sleep disorders and dementia

RLS is associated with poor sleep, depression/anxiety, poor diet, microvasculopathy, and hypoxia – all of which are known risk factors for dementia. However, the relationship between RLS and incident dementia has been unclear.

The researchers compared risk for all-cause dementia, Alzheimer’s disease (AD), and vascular dementia (VaD) among 2,501 adults with newly diagnosed RLS and 9,977 matched control persons participating in the Korean National Health Insurance Service–Elderly Cohort, a nationwide population-based cohort of adults aged 60 and older.

The mean age of the cohort was 73 years; most of the participants were women (65%). Among all 12,478 participants, 874 (7%) developed all-cause dementia during follow-up – 475 (54%) developed AD, and 194 (22%) developed VaD.

The incidence of all-cause dementia was significantly higher among the RLS group than among the control group (10.4% vs. 6.2%). Incidence rates of AD and VaD (5.6% and 2.6%, respectively) were also higher in the RLS group than in the control group (3.4% and 1.3%, respectively).

In Cox regression analysis, RLS was significantly associated with an increased risk of all-cause dementia (adjusted hazard ratio [aHR], 1.46; 95% confidence interval [CI], 1.24-1.72), AD (aHR 1.38; 95% CI, 1.11-1.72) and VaD (aHR, 1.81; 95% CI, 1.30-2.53).

The researchers noted that RLS may precede deterioration of cognitive function, leading to dementia, and they suggest that RLS could be regarded as a “newly identified” risk factor or prodromal sign of dementia.
 

Modifiable risk factor

Reached for comment, Thanh Dang-Vu, MD, PhD, professor and research chair in sleep, neuroimaging, and cognitive health at Concordia University in Montreal, said there is now “increasing literature that shows sleep as a modifiable risk factor for cognitive decline.

“Previous evidence indicates that both sleep apnea and insomnia disorder increase the risk for cognitive decline and possibly dementia. Here the study adds to this body of evidence linking sleep disorders to dementia, suggesting that RLS should also be considered as a sleep-related risk factor,” Dr. Dang-Vu told this news organization.

“More evidence is needed, though, as here, all diagnoses were based on national health insurance diagnostic codes, and it is likely there were missed diagnoses for RLS but also for other sleep disorders, as there was no systematic screening for them,” Dr. Dang-Vu cautioned.

Support for the study was provided by the Ministry of Health and Welfare, the Korean government, and Yonsei University. Dr. Kim and Dr. Dang-Vu reported no relevant financial relationships.
 

A version of this article first appeared on Medscape.com.

Restless legs syndrome (RLS) is associated with an elevated risk of dementia among older adults, suggesting the disorder may be a risk factor for dementia or a very early noncognitive sign of dementia, researchers say.

In a large population-based cohort study, adults with RLS were significantly more likely to develop dementia over more than a decade than were their peers without RLS.

If confirmed in future studies, “regular check-ups for cognitive decline in older patients with RLS may facilitate earlier detection and intervention for those with dementia risk,” wrote investigators led by Eosu Kim, MD, PhD, with Yonsei University, Seoul, Republic of Korea.

The study was published online in Alzheimer’s Research and Therapy.
 

Sleep disorders and dementia

RLS is associated with poor sleep, depression/anxiety, poor diet, microvasculopathy, and hypoxia – all of which are known risk factors for dementia. However, the relationship between RLS and incident dementia has been unclear.

The researchers compared risk for all-cause dementia, Alzheimer’s disease (AD), and vascular dementia (VaD) among 2,501 adults with newly diagnosed RLS and 9,977 matched control persons participating in the Korean National Health Insurance Service–Elderly Cohort, a nationwide population-based cohort of adults aged 60 and older.

The mean age of the cohort was 73 years; most of the participants were women (65%). Among all 12,478 participants, 874 (7%) developed all-cause dementia during follow-up – 475 (54%) developed AD, and 194 (22%) developed VaD.

The incidence of all-cause dementia was significantly higher among the RLS group than among the control group (10.4% vs. 6.2%). Incidence rates of AD and VaD (5.6% and 2.6%, respectively) were also higher in the RLS group than in the control group (3.4% and 1.3%, respectively).

In Cox regression analysis, RLS was significantly associated with an increased risk of all-cause dementia (adjusted hazard ratio [aHR], 1.46; 95% confidence interval [CI], 1.24-1.72), AD (aHR 1.38; 95% CI, 1.11-1.72) and VaD (aHR, 1.81; 95% CI, 1.30-2.53).

The researchers noted that RLS may precede deterioration of cognitive function, leading to dementia, and they suggest that RLS could be regarded as a “newly identified” risk factor or prodromal sign of dementia.
 

Modifiable risk factor

Reached for comment, Thanh Dang-Vu, MD, PhD, professor and research chair in sleep, neuroimaging, and cognitive health at Concordia University in Montreal, said there is now “increasing literature that shows sleep as a modifiable risk factor for cognitive decline.

“Previous evidence indicates that both sleep apnea and insomnia disorder increase the risk for cognitive decline and possibly dementia. Here the study adds to this body of evidence linking sleep disorders to dementia, suggesting that RLS should also be considered as a sleep-related risk factor,” Dr. Dang-Vu told this news organization.

“More evidence is needed, though, as here, all diagnoses were based on national health insurance diagnostic codes, and it is likely there were missed diagnoses for RLS but also for other sleep disorders, as there was no systematic screening for them,” Dr. Dang-Vu cautioned.

Support for the study was provided by the Ministry of Health and Welfare, the Korean government, and Yonsei University. Dr. Kim and Dr. Dang-Vu reported no relevant financial relationships.
 

A version of this article first appeared on Medscape.com.

Restless legs syndrome (RLS) is associated with an elevated risk of dementia among older adults, suggesting the disorder may be a risk factor for dementia or a very early noncognitive sign of dementia, researchers say.

In a large population-based cohort study, adults with RLS were significantly more likely to develop dementia over more than a decade than were their peers without RLS.

If confirmed in future studies, “regular check-ups for cognitive decline in older patients with RLS may facilitate earlier detection and intervention for those with dementia risk,” wrote investigators led by Eosu Kim, MD, PhD, with Yonsei University, Seoul, Republic of Korea.

The study was published online in Alzheimer’s Research and Therapy.
 

Sleep disorders and dementia

RLS is associated with poor sleep, depression/anxiety, poor diet, microvasculopathy, and hypoxia – all of which are known risk factors for dementia. However, the relationship between RLS and incident dementia has been unclear.

The researchers compared risk for all-cause dementia, Alzheimer’s disease (AD), and vascular dementia (VaD) among 2,501 adults with newly diagnosed RLS and 9,977 matched control persons participating in the Korean National Health Insurance Service–Elderly Cohort, a nationwide population-based cohort of adults aged 60 and older.

The mean age of the cohort was 73 years; most of the participants were women (65%). Among all 12,478 participants, 874 (7%) developed all-cause dementia during follow-up – 475 (54%) developed AD, and 194 (22%) developed VaD.

The incidence of all-cause dementia was significantly higher among the RLS group than among the control group (10.4% vs. 6.2%). Incidence rates of AD and VaD (5.6% and 2.6%, respectively) were also higher in the RLS group than in the control group (3.4% and 1.3%, respectively).

In Cox regression analysis, RLS was significantly associated with an increased risk of all-cause dementia (adjusted hazard ratio [aHR], 1.46; 95% confidence interval [CI], 1.24-1.72), AD (aHR 1.38; 95% CI, 1.11-1.72) and VaD (aHR, 1.81; 95% CI, 1.30-2.53).

The researchers noted that RLS may precede deterioration of cognitive function, leading to dementia, and they suggest that RLS could be regarded as a “newly identified” risk factor or prodromal sign of dementia.
 

Modifiable risk factor

Reached for comment, Thanh Dang-Vu, MD, PhD, professor and research chair in sleep, neuroimaging, and cognitive health at Concordia University in Montreal, said there is now “increasing literature that shows sleep as a modifiable risk factor for cognitive decline.

“Previous evidence indicates that both sleep apnea and insomnia disorder increase the risk for cognitive decline and possibly dementia. Here the study adds to this body of evidence linking sleep disorders to dementia, suggesting that RLS should also be considered as a sleep-related risk factor,” Dr. Dang-Vu told this news organization.

“More evidence is needed, though, as here, all diagnoses were based on national health insurance diagnostic codes, and it is likely there were missed diagnoses for RLS but also for other sleep disorders, as there was no systematic screening for them,” Dr. Dang-Vu cautioned.

Support for the study was provided by the Ministry of Health and Welfare, the Korean government, and Yonsei University. Dr. Kim and Dr. Dang-Vu reported no relevant financial relationships.
 

A version of this article first appeared on Medscape.com.

When I read the news that Bruce Willis had disclosed his diagnosis of frontotemporal dementia (FTD), I was reminded that all of us are at risk for spending our final epoch lost in a neurologic swamp. What is remarkable about the swamp that we call FTD is that it’s a somewhat rare and unusual type of dementia. We tend to characterize dementia as the erosion of memory, but FTD is more characterized by the loss of control over emotions and other cognitive functions. What›s especially tragic for performers like Mr. Willis is the loss of the verbal fluency required for delivering one’s lines.

Frontotemporal dementia

To this casual observer, Bruce Willis was an almost invincible force, vigorous, vital, one of the “immortals.” Alas, with his FTD diagnosis, we know that even a die-hard like Mr. Willis, now only 67 years of age, may have to endure years of progressive decline. If the disease follows its typical path, that will probably include slowly disconnecting and progressively losing emotional judgment and control as well as losing a reasonable understanding of what or why any of it is happening. He may also experience a progressive deterioration of the control of bodily functions and general health.

Most people with dementia lose their neurocognitive abilities through a number of different pathways, all of which result in brain shrinkage, disconnection, evident neuropathology, neurobehavioral expressions of loss, and forms of befuddlement. Alzheimer’s disease leads the list as the most common form of dementia, but vascular dementias; dementia with Lewy bodies; “mixed” dementias; dementias associated with Parkinson’s, Huntington’s, or other diseases; dementia rising from alcoholic or other brain poisoning, HIV, Lyme disease, or a host of other brain infections; or from traumatic encephalopathy (chronic or more current) may present at any active neurology clinic. These are what you might think of as your “grandpa’s dementia” – the common types often associated with old age.

FTD is a particularly interesting variant for several reasons. First, it usually arises in relatively young individuals, with initial symptoms emerging in one’s 50s or 60s. In most cases, there is no genetic and, with rare exception, any other explanation of origin – except that old medical standby, bad luck.

Second, FTD has little initial impact on a patient’s broader memory and associated cognitive abilities. The patient will stumble to come up with that next word and ultimately slow down their speech as their brain struggles with verbal fluency; they will struggle with translating their feelings and emotions into fast and appropriate actions expressed in their mind and their physical body while their memory will appear intact.

In all other dementias, cognitive losses can be profound, whereas social and emotional control and voluble speech production are generally better sustained. Imagine the impact that these struggles in verbal fluency and in emotional calibration and response must have for an established actor. By all reports, Mr. Willis vigorously pursued the work that he loved right up until the time of his dementia diagnosis, even as his colleagues would almost certainly have seen that he was struggling. Sadly, a lack of that type of self-awareness is an expected consequence of FTD.
 

The salience network and von Economo neurons

Third and most intriguing to a neuroscientific nerd like me is that patients with FTD experience an initial loss of a special population of cortical neurons located within the salience network in our brains, called the von Economo neurons. That salience network is designed to quickly read and evaluate our complex thoughts and emotions and via those Economo neurons, initiate appropriate neurologic and physical responses.

We share this special von Economo machinery with great apes, whales, elephants, and a handful of other especially social mammalian species.

When we see or hear or otherwise sense something that induces fear, alarm, or a potential reward, the salience network in our brain acts as a kind of gatekeeper. First, it assesses the emergent or changing situation, then it rapidly initiates an emotional and physical response. As I sit with a patient in obvious distress in my office, my salience network turns on an empathetic alarm. My brain and body immediately adjust to initiate appropriately sympathetic reactions. The von Economo neurons – those very neurons that have substantially died off in a brain with FTD – are the linchpins in this fast-response emotion and complex body signal-informed system.

Controlled emotional response is at the heart of our humanity. It’s a sad day when we lose it.

In other neurologic clinical conditions marked by the loss of specific brain cells, different forms of “disuse atrophy” are partly the cause. We don’t know whether that’s the case for FTD. Scientists have shown that specific forms of computerized brain exercises can sharply increase activity levels in the salience network which is linked to improvements in the regulatory control of the autonomic nervous system – one of the key response-mediating targets of the network’s von Economo neurons.

Interestingly, superagers who sustain body and brain health into their 90s (and beyond) die with a full complement of von Economo neurons operating happily in a still-vigorous salience network.

This neuroscientist can foresee a day when we routinely assess the integrity of this important brain system and more reliably maintain its good health. Keeping those very special neurons alive would have probably allowed Mr. Willis to sustain himself on the soundstage and on the grander stage of life for a long time to come. Alas, like so many things in medicine, there is promise. But at this moment for this famous patient, our current medical science appears to be a day late, and a dollar short.

Dr. Merzenichis is professor emeritus at the University of California, San Francisco, and a Kavli Laureate in Neuroscience. He reported conflicts of interest with the National Institutes of Health, Stronger Brains, and Posit Science.
 

A version of this article first appeared on Medscape.com.

When I read the news that Bruce Willis had disclosed his diagnosis of frontotemporal dementia (FTD), I was reminded that all of us are at risk for spending our final epoch lost in a neurologic swamp. What is remarkable about the swamp that we call FTD is that it’s a somewhat rare and unusual type of dementia. We tend to characterize dementia as the erosion of memory, but FTD is more characterized by the loss of control over emotions and other cognitive functions. What›s especially tragic for performers like Mr. Willis is the loss of the verbal fluency required for delivering one’s lines.

Frontotemporal dementia

To this casual observer, Bruce Willis was an almost invincible force, vigorous, vital, one of the “immortals.” Alas, with his FTD diagnosis, we know that even a die-hard like Mr. Willis, now only 67 years of age, may have to endure years of progressive decline. If the disease follows its typical path, that will probably include slowly disconnecting and progressively losing emotional judgment and control as well as losing a reasonable understanding of what or why any of it is happening. He may also experience a progressive deterioration of the control of bodily functions and general health.

Most people with dementia lose their neurocognitive abilities through a number of different pathways, all of which result in brain shrinkage, disconnection, evident neuropathology, neurobehavioral expressions of loss, and forms of befuddlement. Alzheimer’s disease leads the list as the most common form of dementia, but vascular dementias; dementia with Lewy bodies; “mixed” dementias; dementias associated with Parkinson’s, Huntington’s, or other diseases; dementia rising from alcoholic or other brain poisoning, HIV, Lyme disease, or a host of other brain infections; or from traumatic encephalopathy (chronic or more current) may present at any active neurology clinic. These are what you might think of as your “grandpa’s dementia” – the common types often associated with old age.

FTD is a particularly interesting variant for several reasons. First, it usually arises in relatively young individuals, with initial symptoms emerging in one’s 50s or 60s. In most cases, there is no genetic and, with rare exception, any other explanation of origin – except that old medical standby, bad luck.

Second, FTD has little initial impact on a patient’s broader memory and associated cognitive abilities. The patient will stumble to come up with that next word and ultimately slow down their speech as their brain struggles with verbal fluency; they will struggle with translating their feelings and emotions into fast and appropriate actions expressed in their mind and their physical body while their memory will appear intact.

In all other dementias, cognitive losses can be profound, whereas social and emotional control and voluble speech production are generally better sustained. Imagine the impact that these struggles in verbal fluency and in emotional calibration and response must have for an established actor. By all reports, Mr. Willis vigorously pursued the work that he loved right up until the time of his dementia diagnosis, even as his colleagues would almost certainly have seen that he was struggling. Sadly, a lack of that type of self-awareness is an expected consequence of FTD.
 

The salience network and von Economo neurons

Third and most intriguing to a neuroscientific nerd like me is that patients with FTD experience an initial loss of a special population of cortical neurons located within the salience network in our brains, called the von Economo neurons. That salience network is designed to quickly read and evaluate our complex thoughts and emotions and via those Economo neurons, initiate appropriate neurologic and physical responses.

We share this special von Economo machinery with great apes, whales, elephants, and a handful of other especially social mammalian species.

When we see or hear or otherwise sense something that induces fear, alarm, or a potential reward, the salience network in our brain acts as a kind of gatekeeper. First, it assesses the emergent or changing situation, then it rapidly initiates an emotional and physical response. As I sit with a patient in obvious distress in my office, my salience network turns on an empathetic alarm. My brain and body immediately adjust to initiate appropriately sympathetic reactions. The von Economo neurons – those very neurons that have substantially died off in a brain with FTD – are the linchpins in this fast-response emotion and complex body signal-informed system.

Controlled emotional response is at the heart of our humanity. It’s a sad day when we lose it.

In other neurologic clinical conditions marked by the loss of specific brain cells, different forms of “disuse atrophy” are partly the cause. We don’t know whether that’s the case for FTD. Scientists have shown that specific forms of computerized brain exercises can sharply increase activity levels in the salience network which is linked to improvements in the regulatory control of the autonomic nervous system – one of the key response-mediating targets of the network’s von Economo neurons.

Interestingly, superagers who sustain body and brain health into their 90s (and beyond) die with a full complement of von Economo neurons operating happily in a still-vigorous salience network.

This neuroscientist can foresee a day when we routinely assess the integrity of this important brain system and more reliably maintain its good health. Keeping those very special neurons alive would have probably allowed Mr. Willis to sustain himself on the soundstage and on the grander stage of life for a long time to come. Alas, like so many things in medicine, there is promise. But at this moment for this famous patient, our current medical science appears to be a day late, and a dollar short.

Dr. Merzenichis is professor emeritus at the University of California, San Francisco, and a Kavli Laureate in Neuroscience. He reported conflicts of interest with the National Institutes of Health, Stronger Brains, and Posit Science.
 

A version of this article first appeared on Medscape.com.

When I read the news that Bruce Willis had disclosed his diagnosis of frontotemporal dementia (FTD), I was reminded that all of us are at risk for spending our final epoch lost in a neurologic swamp. What is remarkable about the swamp that we call FTD is that it’s a somewhat rare and unusual type of dementia. We tend to characterize dementia as the erosion of memory, but FTD is more characterized by the loss of control over emotions and other cognitive functions. What›s especially tragic for performers like Mr. Willis is the loss of the verbal fluency required for delivering one’s lines.

Frontotemporal dementia

To this casual observer, Bruce Willis was an almost invincible force, vigorous, vital, one of the “immortals.” Alas, with his FTD diagnosis, we know that even a die-hard like Mr. Willis, now only 67 years of age, may have to endure years of progressive decline. If the disease follows its typical path, that will probably include slowly disconnecting and progressively losing emotional judgment and control as well as losing a reasonable understanding of what or why any of it is happening. He may also experience a progressive deterioration of the control of bodily functions and general health.

Most people with dementia lose their neurocognitive abilities through a number of different pathways, all of which result in brain shrinkage, disconnection, evident neuropathology, neurobehavioral expressions of loss, and forms of befuddlement. Alzheimer’s disease leads the list as the most common form of dementia, but vascular dementias; dementia with Lewy bodies; “mixed” dementias; dementias associated with Parkinson’s, Huntington’s, or other diseases; dementia rising from alcoholic or other brain poisoning, HIV, Lyme disease, or a host of other brain infections; or from traumatic encephalopathy (chronic or more current) may present at any active neurology clinic. These are what you might think of as your “grandpa’s dementia” – the common types often associated with old age.

FTD is a particularly interesting variant for several reasons. First, it usually arises in relatively young individuals, with initial symptoms emerging in one’s 50s or 60s. In most cases, there is no genetic and, with rare exception, any other explanation of origin – except that old medical standby, bad luck.

Second, FTD has little initial impact on a patient’s broader memory and associated cognitive abilities. The patient will stumble to come up with that next word and ultimately slow down their speech as their brain struggles with verbal fluency; they will struggle with translating their feelings and emotions into fast and appropriate actions expressed in their mind and their physical body while their memory will appear intact.

In all other dementias, cognitive losses can be profound, whereas social and emotional control and voluble speech production are generally better sustained. Imagine the impact that these struggles in verbal fluency and in emotional calibration and response must have for an established actor. By all reports, Mr. Willis vigorously pursued the work that he loved right up until the time of his dementia diagnosis, even as his colleagues would almost certainly have seen that he was struggling. Sadly, a lack of that type of self-awareness is an expected consequence of FTD.
 

The salience network and von Economo neurons

Third and most intriguing to a neuroscientific nerd like me is that patients with FTD experience an initial loss of a special population of cortical neurons located within the salience network in our brains, called the von Economo neurons. That salience network is designed to quickly read and evaluate our complex thoughts and emotions and via those Economo neurons, initiate appropriate neurologic and physical responses.

We share this special von Economo machinery with great apes, whales, elephants, and a handful of other especially social mammalian species.

When we see or hear or otherwise sense something that induces fear, alarm, or a potential reward, the salience network in our brain acts as a kind of gatekeeper. First, it assesses the emergent or changing situation, then it rapidly initiates an emotional and physical response. As I sit with a patient in obvious distress in my office, my salience network turns on an empathetic alarm. My brain and body immediately adjust to initiate appropriately sympathetic reactions. The von Economo neurons – those very neurons that have substantially died off in a brain with FTD – are the linchpins in this fast-response emotion and complex body signal-informed system.

Controlled emotional response is at the heart of our humanity. It’s a sad day when we lose it.

In other neurologic clinical conditions marked by the loss of specific brain cells, different forms of “disuse atrophy” are partly the cause. We don’t know whether that’s the case for FTD. Scientists have shown that specific forms of computerized brain exercises can sharply increase activity levels in the salience network which is linked to improvements in the regulatory control of the autonomic nervous system – one of the key response-mediating targets of the network’s von Economo neurons.

Interestingly, superagers who sustain body and brain health into their 90s (and beyond) die with a full complement of von Economo neurons operating happily in a still-vigorous salience network.

This neuroscientist can foresee a day when we routinely assess the integrity of this important brain system and more reliably maintain its good health. Keeping those very special neurons alive would have probably allowed Mr. Willis to sustain himself on the soundstage and on the grander stage of life for a long time to come. Alas, like so many things in medicine, there is promise. But at this moment for this famous patient, our current medical science appears to be a day late, and a dollar short.

Dr. Merzenichis is professor emeritus at the University of California, San Francisco, and a Kavli Laureate in Neuroscience. He reported conflicts of interest with the National Institutes of Health, Stronger Brains, and Posit Science.
 

A version of this article first appeared on Medscape.com.

Children with autism spectrum disorder (ASD) are significantly less likely to have vision screening at well visits for 3- to 5-year-olds than are typically developing children, researchers have found.

The report, by Kimberly Hoover, MD, of Thomas Jefferson University in Philadelphia, and colleagues, was published online in Pediatrics.

While 59.9% of children without ASD got vision screening in these visits, only 36.5% of children with ASD got the screening. Both screening rates miss the mark set by American Academy of Pediatrics guidelines.

The AAP recommends “annual instrument-based vision screening, if available, at well visits for children starting at age 12 months to 3 years, and direct visual acuity testing beginning at 4 years of age. However, in children with developmental delays, the AAP recommends instrument-based screening, such as photoscreening, as a useful alternative at any age.”
 

Racial, age disparities as well

Racial disparities were evident in the data as well. Of the children who had ASD, Black children had the lowest rates of screening (27.6%), while the rate for White children was 39.7%. The rate for other/multiracial children with ASD was 39.8%.

The lowest rates of screening occurred in the youngest children, at the 3-year visit.

The researchers analyzed data from 63,829 well-child visits between January 2016 and December 2019, collected from the large primary care database PEDSnet.
 

Photoscreening vs. acuity screening

The authors pointed out that children with ASD are less likely to complete a vision test, which can be problematic in a busy primary care office.

“Children with ASD were significantly less likely to have at least one completed vision screening (43.2%) compared with children without ASD (72.1%; P <. 01),” the authors wrote, “with only 6.9% of children with ASD having had two or more vision screenings compared with 22.3% of children without ASD.”

The researchers saw higher vision test completion rates with photoscreening, using a sophisticated camera, compared with acuity screening, which uses a wall chart and requires responses.

Less patient participation is required for photoscreening and it can be done in less than 2 minutes.

If ability to complete the vision tests is a concern, the authors wrote, photoscreening may be a better solution.
 

Photoscreening takes 90 seconds

“Photoscreening has high sensitivity in detecting ocular conditions in children with ASD and has an average screening time of 90 seconds, and [it has] been validated in both children with ASD and developmental delays,” the authors wrote.

Andrew Adesman, MD, chief of developmental and behavioral pediatrics at Cohen Children’s Medical Center in New Hyde Park, N.Y., said the authors of this study quantify the gap between need and reality for vision tests for those with ASD.

“Other studies have shown that children on the autism spectrum have more than three times greater risk of having eye disease or vision problems,” he said in an interview. “You’ve got a high-risk population in need of assessment and the likelihood of them getting an assessment is much reduced.”

He said in addition to attention problems in taking the test, vision screening may get lost in the plethora of concerns parents want to talk about in well-child visits.

“If you’re the parent of a child with developmental delays, language delays, poor social engagement, there are a multitude of things the visit could be focused on and it may be that vision screening possibly gets compromised or not done,” Dr. Adesman said.

That, he said, may be a focus area for improving the screening numbers.

Neither parents nor providers should forget that vision screening is important, despite the myriad other issues to address, he said. “They don’t have to take a long time.”

When it comes to vision problems and children, “the earlier they’re identified the better,” Dr. Adesman says, particularly to identify the need for eye muscle surgery or corrective lenses, the two major interventions for strabismus or refractive error.

“If those problems are significant and go untreated, there’s a risk of loss of vision in the affected eye,” he said.
 

Reimbursement concerns for photoscreening

This study strongly supports the use of routine photoscreening to help eliminate the vision screening gap in children with ASD, the authors wrote.

They noted, however, that would require insurance reimbursement for primary care practices to effectively use that screening.

The researchers advised, “Providers treating patients with race, ethnicity, region, or age categories that reduce the adjusted odds of photoscreening can take steps in their practices to address these disparities, particularly in children with ASD.”

The study authors and Dr. Adesman reported no relevant financial relationships.

Children with autism spectrum disorder (ASD) are significantly less likely to have vision screening at well visits for 3- to 5-year-olds than are typically developing children, researchers have found.

The report, by Kimberly Hoover, MD, of Thomas Jefferson University in Philadelphia, and colleagues, was published online in Pediatrics.

While 59.9% of children without ASD got vision screening in these visits, only 36.5% of children with ASD got the screening. Both screening rates miss the mark set by American Academy of Pediatrics guidelines.

The AAP recommends “annual instrument-based vision screening, if available, at well visits for children starting at age 12 months to 3 years, and direct visual acuity testing beginning at 4 years of age. However, in children with developmental delays, the AAP recommends instrument-based screening, such as photoscreening, as a useful alternative at any age.”
 

Racial, age disparities as well

Racial disparities were evident in the data as well. Of the children who had ASD, Black children had the lowest rates of screening (27.6%), while the rate for White children was 39.7%. The rate for other/multiracial children with ASD was 39.8%.

The lowest rates of screening occurred in the youngest children, at the 3-year visit.

The researchers analyzed data from 63,829 well-child visits between January 2016 and December 2019, collected from the large primary care database PEDSnet.
 

Photoscreening vs. acuity screening

The authors pointed out that children with ASD are less likely to complete a vision test, which can be problematic in a busy primary care office.

“Children with ASD were significantly less likely to have at least one completed vision screening (43.2%) compared with children without ASD (72.1%; P <. 01),” the authors wrote, “with only 6.9% of children with ASD having had two or more vision screenings compared with 22.3% of children without ASD.”

The researchers saw higher vision test completion rates with photoscreening, using a sophisticated camera, compared with acuity screening, which uses a wall chart and requires responses.

Less patient participation is required for photoscreening and it can be done in less than 2 minutes.

If ability to complete the vision tests is a concern, the authors wrote, photoscreening may be a better solution.
 

Photoscreening takes 90 seconds

“Photoscreening has high sensitivity in detecting ocular conditions in children with ASD and has an average screening time of 90 seconds, and [it has] been validated in both children with ASD and developmental delays,” the authors wrote.

Andrew Adesman, MD, chief of developmental and behavioral pediatrics at Cohen Children’s Medical Center in New Hyde Park, N.Y., said the authors of this study quantify the gap between need and reality for vision tests for those with ASD.

“Other studies have shown that children on the autism spectrum have more than three times greater risk of having eye disease or vision problems,” he said in an interview. “You’ve got a high-risk population in need of assessment and the likelihood of them getting an assessment is much reduced.”

He said in addition to attention problems in taking the test, vision screening may get lost in the plethora of concerns parents want to talk about in well-child visits.

“If you’re the parent of a child with developmental delays, language delays, poor social engagement, there are a multitude of things the visit could be focused on and it may be that vision screening possibly gets compromised or not done,” Dr. Adesman said.

That, he said, may be a focus area for improving the screening numbers.

Neither parents nor providers should forget that vision screening is important, despite the myriad other issues to address, he said. “They don’t have to take a long time.”

When it comes to vision problems and children, “the earlier they’re identified the better,” Dr. Adesman says, particularly to identify the need for eye muscle surgery or corrective lenses, the two major interventions for strabismus or refractive error.

“If those problems are significant and go untreated, there’s a risk of loss of vision in the affected eye,” he said.
 

Reimbursement concerns for photoscreening

This study strongly supports the use of routine photoscreening to help eliminate the vision screening gap in children with ASD, the authors wrote.

They noted, however, that would require insurance reimbursement for primary care practices to effectively use that screening.

The researchers advised, “Providers treating patients with race, ethnicity, region, or age categories that reduce the adjusted odds of photoscreening can take steps in their practices to address these disparities, particularly in children with ASD.”

The study authors and Dr. Adesman reported no relevant financial relationships.

Children with autism spectrum disorder (ASD) are significantly less likely to have vision screening at well visits for 3- to 5-year-olds than are typically developing children, researchers have found.

The report, by Kimberly Hoover, MD, of Thomas Jefferson University in Philadelphia, and colleagues, was published online in Pediatrics.

While 59.9% of children without ASD got vision screening in these visits, only 36.5% of children with ASD got the screening. Both screening rates miss the mark set by American Academy of Pediatrics guidelines.

The AAP recommends “annual instrument-based vision screening, if available, at well visits for children starting at age 12 months to 3 years, and direct visual acuity testing beginning at 4 years of age. However, in children with developmental delays, the AAP recommends instrument-based screening, such as photoscreening, as a useful alternative at any age.”
 

Racial, age disparities as well

Racial disparities were evident in the data as well. Of the children who had ASD, Black children had the lowest rates of screening (27.6%), while the rate for White children was 39.7%. The rate for other/multiracial children with ASD was 39.8%.

The lowest rates of screening occurred in the youngest children, at the 3-year visit.

The researchers analyzed data from 63,829 well-child visits between January 2016 and December 2019, collected from the large primary care database PEDSnet.
 

Photoscreening vs. acuity screening

The authors pointed out that children with ASD are less likely to complete a vision test, which can be problematic in a busy primary care office.

“Children with ASD were significantly less likely to have at least one completed vision screening (43.2%) compared with children without ASD (72.1%; P <. 01),” the authors wrote, “with only 6.9% of children with ASD having had two or more vision screenings compared with 22.3% of children without ASD.”

The researchers saw higher vision test completion rates with photoscreening, using a sophisticated camera, compared with acuity screening, which uses a wall chart and requires responses.

Less patient participation is required for photoscreening and it can be done in less than 2 minutes.

If ability to complete the vision tests is a concern, the authors wrote, photoscreening may be a better solution.
 

Photoscreening takes 90 seconds

“Photoscreening has high sensitivity in detecting ocular conditions in children with ASD and has an average screening time of 90 seconds, and [it has] been validated in both children with ASD and developmental delays,” the authors wrote.

Andrew Adesman, MD, chief of developmental and behavioral pediatrics at Cohen Children’s Medical Center in New Hyde Park, N.Y., said the authors of this study quantify the gap between need and reality for vision tests for those with ASD.

“Other studies have shown that children on the autism spectrum have more than three times greater risk of having eye disease or vision problems,” he said in an interview. “You’ve got a high-risk population in need of assessment and the likelihood of them getting an assessment is much reduced.”

He said in addition to attention problems in taking the test, vision screening may get lost in the plethora of concerns parents want to talk about in well-child visits.

“If you’re the parent of a child with developmental delays, language delays, poor social engagement, there are a multitude of things the visit could be focused on and it may be that vision screening possibly gets compromised or not done,” Dr. Adesman said.

That, he said, may be a focus area for improving the screening numbers.

Neither parents nor providers should forget that vision screening is important, despite the myriad other issues to address, he said. “They don’t have to take a long time.”

When it comes to vision problems and children, “the earlier they’re identified the better,” Dr. Adesman says, particularly to identify the need for eye muscle surgery or corrective lenses, the two major interventions for strabismus or refractive error.

“If those problems are significant and go untreated, there’s a risk of loss of vision in the affected eye,” he said.
 

Reimbursement concerns for photoscreening

This study strongly supports the use of routine photoscreening to help eliminate the vision screening gap in children with ASD, the authors wrote.

They noted, however, that would require insurance reimbursement for primary care practices to effectively use that screening.

The researchers advised, “Providers treating patients with race, ethnicity, region, or age categories that reduce the adjusted odds of photoscreening can take steps in their practices to address these disparities, particularly in children with ASD.”

The study authors and Dr. Adesman reported no relevant financial relationships.