Non-benzodiazepine Hypnotics and Police-Reported Motor Vehicle Crash Risk among Older Adults: A Sequential Target Trial Emulation.

Non-benzodiazepine hypnotics ( "Z-drugs") are prescribed for insomnia, but might increase risk of motor vehicle crash (MVC) among older adults through prolonged drowsiness and delayed reaction times. We estimated the effect of initiating Z-drug treatment on the 12-week risk of MVC in a sequential target trial emulation. After linking New Jersey driver licensing and police-reported MVC data to Medicare claims, we emulated a new target trial each week (July 1, 2007 - October 7, 2017) in which Medicare fee-for-service beneficiaries were classified as Z-drug-treated or untreated at baseline and followed for an MVC. We used inverse probability of treatment and censoring weighted pooled logistic regression models to estimate risk ratios (RR) and risk differences with 95% bootstrap confidence limits (CLs). There were 257,554 person-trials, of which 103,371 were Z-drug-treated and 154,183 untreated, giving rise to 976 and 1,249 MVCs, respectively. The intention-to-treat RR was 1.06 (95%CLs 0.95, 1.16). For the per-protocol estimand, there were 800 MVCs and 1,241 MVCs among treated and untreated person-trials, respectively, suggesting a reduced MVC risk (RR 0.83 [95%CLs 0.74, 0.92]) with sustained Z-drug treatment. Z-drugs should be prescribed to older patients judiciously but not withheld entirely over concerns about MVC risk.

Anticholinergic and sedative medication use in older patients with cognitive concerns.

BACKGROUND: Anticholinergic (AC) and sedative medications are a risk factor for cognitive impairment. This study sought to characterize AC and sedative use in older patients seen for outpatient neuropsychological evaluation and evaluate their associations with different cognitive domains. We hypothesized that AC and sedative use would be associated with worse attention/processing speed (AP), executive functioning (EF), and memory. METHODS: We conducted a cross-sectional chart review of 392 patients (mean [M] age = 72 ± 7.7 years, range = 54-91). Medications were characterized by number of AC medications (≥1 on the Anticholinergic Cognitive Burden Scale [ACB]), number of sedative medications, and polypharmacy (≥5 daily medications). Demographically adjusted composites were calculated for AP, EF, and memory. Bivariate Pearson correlations assessed relationships between medication use and cognition. Multivariate linear regressions evaluated significant medication-cognition associations, controlling for total medications, medical comorbidities, and estimated premorbid cognitive functioning. RESULTS: Polypharmacy was common (80%; n = 314). Most patients (70%; n = 275) used ≥1 sedative medications (range = 0-9). Over half (63%; n = 248) used ≥1 AC drugs (range = 0-7), yet ACB scores were ≤2 in 74% of patients. Sedative use was negatively correlated with AP (r = -0.134, p = 0.008) and EF (r = -0.105, p = 0.04). ACB scores were negatively correlated with AP (r = -0.106, p = 0.037). Sedatives and a priori covariates significantly predicted AP performance (R2 = 0.127, p < 0.001); using more sedative medications was uniquely associated with worse AP (ß = -0.426, p = 0.049). No significant associations were found with memory. CONCLUSION: AC and sedative medications and polypharmacy were prevalent in this sample of older patients. Though both drug classes had negative relationships with AP and EF, sedatives had a particularly negative association with AP. Contrary to our hypotheses, memory was not associated with medication use; however, anticholinergic burden was low within the sample, and AP and EF deficits may masquerade as memory problems.

Medication management error types: Associations with mild cognitive impairment subtype.

Objective: Medication management errors are suspected to be prevalent among older adults with mild cognitive impairment (MCI). This study examined types of simulated medication-taking errors in cognitively normal older adults (CN; n = 131), single domain amnestic MCI (sdMCI, n = 91), and multi-domain MCI (mdMCI, n = 44). Errors were measured using the medication management ability assessment (MMAA). Methods: 266 participants seen for neuropsychological evaluation (94.4% White, 57.9% female, average age = 72, average education = 14 years) completed the MMAA (version 4.1), a performance-based task of medication management. Group differences in MMAA total scores, accuracy, and error types were evaluated using Kruskall-Wallis H tests. This study was the first to explore a newly operationalized error, perseverations, caused by taking a specific dose ≥2 times during the simulation. Results: CN and sdMCI groups had higher MMAA total scores than individuals with mdMCI, indicating better overall performance. The mdMCI group made a higher number of omission errors (missed pills) than other groups, but no differences were found for commission errors (extra pills). The sdMCI group made more perseverative errors compared to the CN group. Conclusions: Individuals with mdMCI made more simulated medication management errors than CN and sdMCI groups, indicating that they may be most vulnerable to difficulties in medication management. In contrast, sdMCI individuals were more likely to make perseverative errors, which may reflect a tendency towards overcompensation of memory loss. Future studies should assess whether MMAA performance is associated with patterns of real-world medication-taking in more diverse samples of older adults.

Compensatory Strategy Intervention: What Older Patients Want and Why.

OBJECTIVE: Compensatory strategies can improve performance of instrumental activities of daily living in people with cognitive impairment. This study investigated patient interest in compensatory strategy interventions and preference for various intervention formats. METHODS: Semi-structured qualitative interviews with 38 older adults with cognitive impairment queried motivation to improve strategy use and interest in intervention formats/delivery methods. Two coders used thematic analysis to determine rates of interest in each intervention type and explore patient-reported barriers and facilitators to motivation and intervention models. RESULTS: Most of the samples reported motivation to enhance compensatory strategy use. Degree of motivation was driven by current experiences with strategy use, perceived benefit of potential changes, intrinsic desire to improve life and self, and current perceived need. The vast majority were interested in hour-long, multi-session, instructor-led interventions. Just over half of the sample was interested in a self-directed virtual program, and just under half was interested in involving family/friends. Facilitators and barriers to interest in intervention formats and delivery methods varied based on participants' previous experiences, preferred learning style, content, and time commitment of the intervention, and perceived current need for intervention. One-fifth of the sample expressed no interest in any intervention type, though they expressed openness to assistance in the future as needed. CONCLUSIONS: Older adults with cognitive impairment are generally motivated to enhance their compensatory strategy use. Clinicians/researchers designing compensatory strategy interventions should consider instructor-led formats, present individualized benefits of interventions, and demonstrate the benefits of both preventative and remedial intervention to optimize patient engagement.

Changes in the burden of medications that may impair driving among older adults before and after a motor vehicle crash.

BACKGROUND: Medications are one of the most easily modifiable risk factors for motor vehicle crashes (MVCs) among older adults, yet limited information exists on how the use of potentially driver-impairing (PDI) medications changes following an MVC. Therefore, we examined the number and types of PDI medication classes dispensed before and after an MVC. METHODS: This observational study included Medicare fee-for-service beneficiaries aged ≥67 years who were involved in a police-reported MVC in New Jersey as a driver between 2008 and 2017. Analyses were conducted at the "person-crash" level because participants could be involved in more than one MVC. We examined the use of 36 PDI medication classes in the 120 days before and 120 days after MVC. We described the number and prevalence of PDI medication classes in the pre-MVC and post-MVC periods as well as the most common PDI medication classes started and stopped following the MVC. RESULTS: Among 124,954 person-crashes, the mean (SD) age was 76.0 (6.5) years, 51.3% were female, and 83.9% were non-Hispanic White. The median (Q1 , Q3 ) number of PDI medication classes was 2 (1, 4) in both the pre-MVC and post-MVC periods. Overall, 20.3% had a net increase, 15.9% had a net decrease, and 63.8% had no net change in the number of PDI medication classes after MVC. Opioids, antihistamines, and thiazide diuretics were the top PDI medication classes stopped following MVC, at incidences of 6.2%, 2.1%, and 1.7%, respectively. The top medication classes started were opioids (8.3%), skeletal muscle relaxants (2.2%), and benzodiazepines (2.1%). CONCLUSIONS: A majority of crash-involved older adults were exposed to multiple PDI medications before and after MVC. A greater proportion of person-crashes were associated with an increased rather than decreased number of PDI medications. The reasons why clinicians refrain from stopping PDI medications following an MVC remain to be elucidated.

Rest-activity patterns associated with delirium in patients with intracerebral hemorrhage.

BACKGROUND: Delirium is an acute cognitive disturbance frequently characterized by abnormal psychomotor activity and sleep-wake cycle disruption. However, the degree to which delirium affects activity patterns in the acute period after stroke is unclear. We aimed to examine these patterns in a cohort of patients with intracerebral hemorrhage (ICH). METHODS: We enrolled 40 patients with intracerebral hemorrhage (ICH) who had daily DSM-5-based delirium assessments. Continuous activity measurements were captured using bilateral wrist actigraphs throughout each patient's admission. Activity data were collected in 1-min intervals, with "rest" defined as periods with zero activity. We compared differences in activity based on delirium status across multiple time intervals using multivariable models adjusted for age, ICH severity, and mechanical ventilation. RESULTS: There were 279 days of actigraphy monitoring, of which 199 (71%) were rated as days with delirium. In multivariable analyses, delirium was associated with 98.4 (95% CI 10.4-186.4) fewer daily minutes of rest, including 5.3% (95% CI -0.1-10.1%) fewer minutes during daytime periods (06:00-21:59) and 10.2% (95% CI 1.9-18.4%) fewer minutes during nocturnal periods (22:00-5:59), with higher levels of activity across multiple individual hourly intervals (18:00-21:00, 23:00-03:00, and 04:00-08:00). These differences were even more pronounced in hyperactive or mixed delirium, although even hypoactive delirium was associated with more activity during multiple time periods. CONCLUSIONS: Post-stroke delirium is associated with less rest and higher overall levels of activity, especially during nocturnal periods.

Medication self-management in predominantly African American and Caribbean American people with epilepsy: The role of medication beliefs and epilepsy knowledge.

INTRODUCTION: Suboptimal medication adherence is common in people with epilepsy (PWE) and disproportionally prevalent among racially/ethnically diverse patients. Understanding reasons and risks of suboptimal adherence is critical to developing interventions that reduce negative health outcomes. This cross-sectional study characterized common barriers to medication self-management, prevalence of negative medication beliefs, and gaps in epilepsy knowledge among predominantly African American and Caribbean American PWE and examined their interrelationships. MATERIALS AND METHODS: Sixty-three PWE (Age = 42.1 ± 13.2; 60% female; 79% Black; 19% Hispanic/Latino) completed validated self-report questionnaires about medication self-management, medication beliefs, and epilepsy knowledge. Correlations and t-tests examined interrelationships. RESULTS: Four barriers to medication self-management were common, including not taking antiseizure medications at the same time every day, forgetting doses, not planning refills before running out, and spreading out doses when running low. More than half the sample believed medications were overused by prescribers. Nearly one-third believed medications were harmful, and nearly a quarter believed their antiseizure medications were minimally necessary with almost half reporting elevated concerns about negative consequences of antiseizure medications. Poorer medication self-management was associated with stronger beliefs that medications in general are harmful/overused by prescribers. Individuals who were "accepting" of their antiseizure medications (i.e., high perceived necessity, low concerns) were less likely to spread out time between doses when running low compared to non-accepting counterparts. Knowledge gaps related to the cause of seizures/epilepsy, chronicity of epilepsy treatment, and seizure semiology/diagnosis were common. Nevertheless, epilepsy knowledge was unrelated to medication self-management and medication beliefs. CONCLUSIONS: In these PWE, the most prevalent reasons for suboptimal medication self-management were behaviorally mediated and potentially modifiable. Negative medication beliefs and misconceptions about epilepsy and its treatment were common. Results further suggest that interventions addressing negative medication beliefs will be more effective than knowledge-based psychoeducation alone to improve medication self-management in this patient population.

Integrated psychological care services within seizure settings: Key components and implementation factors among example services in four ILAE regions: A report by the ILAE Psychiatry Commission.

Mental health comorbidities are prevalent and problematic in patients with seizures but often suboptimally managed. To address common gaps in care, the Integrated Mental Health Care Pathways Task Force of the International League Against Epilepsy (ILAE) Psychiatry Commission was tasked with providing education and guidance on the integration of mental health management (e.g., screening, referral, treatment) into routine seizure care. This report aims to describe a variety of established services in this area, with a specific focus on psychological care models. Services were identified by members of the ILAE Psychiatry Commission and authors of psychological intervention trials in epilepsy. A total of eight services met inclusion criteria and agreed to be showcased. They include three pediatric and five adult services located across four distinct ILAE regions (Europe, North America, Africa, Asia Oceania). The report describes the core operations, known outcomes, and implementation factors (i.e., barriers and facilitators) of these services. The report concludes with a set of practical tips for building successful psychological care services within seizure settings, including the importance of having local champions, clearly defining the scope of the service, and establishing sustainable funding models. The breadth of exemplars demonstrates how models tailored to the local environment and resources can be implemented. This report is an initial step to disseminate information regarding integrated mental health care within seizure care settings. Future work is needed to systematically examine both psychological and pharmacological care models and to further establish the evidence base in this area, especially around clinical impact, and cost-effectiveness.

A Pilot Study of the Fluctuating Mental Status Evaluation: A Novel Delirium Screening Tool for Neurocritical Care Patients.

BACKGROUND: Delirium occurs frequently in patients with stroke and neurocritical illness but is often underrecognized. We developed a novel delirium screening tool designed specifically for neurocritical care patients called the fluctuating mental status evaluation (FMSE) and aimed to test its usability and accuracy in a representative cohort of patients with intracerebral hemorrhage (ICH). METHODS: We performed a single-center prospective study in a pilot cohort of patients with ICH who had daily delirium assessments throughout their admission. Reference-standard expert ratings were performed each afternoon using criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and were derived from bedside assessments and clinical data from the preceding 24 h. Paired FMSE assessments were performed by patients' clinical nurses after receiving brief one-on-one training from research staff. Nursing assessments were aggregated over 24-h periods (including day and night shifts), and accuracy of the FMSE was analyzed in patients who were not comatose to determine optimal scoring thresholds. RESULTS: We enrolled 40 patients with ICH (mean age 71.1 ± 12.2, 55% male, median National Institutes of Health Stroke Scale score 16.5 [interquartile range 12-20]), of whom 85% (n = 34) experienced delirium during their hospitalization. Of 308 total coma-free days with paired assessments, 208 (68%) were rated by experts as days with delirium. Compared with expert ratings, FMSE scores ≥ 1 had 86% sensitivity and 73% specificity on a per-day basis, whereas FMSE scores ≥ 2 had 68% sensitivity and 82% specificity. Accuracy remained high in patients with aphasia (FMSE scores ≥ 1: 83% sensitivity, 77% specificity; FMSE scores ≥ 2: 68% sensitivity, 85% specificity) and decreased arousal (FMSE scores ≥ 1: 80% sensitivity, 100% specificity; FMSE scores ≥ 2: 73% sensitivity, 100% specificity). CONCLUSIONS: In this pilot study, the FMSE achieved a high sensitivity and specificity in detecting delirium. Follow-up validation studies in a larger more diverse cohort of neurocritical care patients will use score cutoffs of ≥ 1 as "possible" delirium and ≥ 2 as "probable" delirium.

Distance From Home to Motor Vehicle Crash Location: Implications for License Restrictions Among Medically-At-Risk Older Drivers.

In 30 states, licensing agencies can restrict the distance from home that "medically-at-risk" drivers are permitted to drive. However, where older drivers crash relative to their home or how distance to crash varies by medical condition is unknown. Using geocoded crash locations and residential addresses linked to Medicare claims, we describe how the relationship between distance from home to crash varies by driver characteristics. We find that a majority of crashes occur within a few miles from home with little variation across driver demographics or medical conditions. Thus, distance restrictions may not reduce crash rates among older adults, and the tradeoff between safety and mobility warrants consideration.

The complementary utility of cognitive testing and the medication management ability assessment in older adults.

OBJECTIVE: Older adults are susceptible to cognitive declines that may limit independence. Though neuropsychologists opine about risk of functional decline, the degree to which cognitive testing and in-office simulations approximate everyday behavior is unclear. We assessed the complementary utility of cognitive testing and the face-valid Medication Management Ability Assessment (MMAA) to predict medication management among older adults. METHOD: This was a retrospective study of 234 older adults (age = 72 ± 7.7 years; 59% women) who completed the MMAA during outpatient neuropsychological evaluations. Based on comprehensive clinical assessment, most participants (n = 186) were independent in medication management, while 48 received assistance. Demographically adjusted composite scores were derived for attention/processing speed (A/PS), executive functioning (EF), visuospatial/constructional ability (VC), language, and memory domains. Univariate differences in cognition were examined across Assisted versus Independent groups. Logistic regression assessed which cognitive domains independently predicted group status. The incremental value of the MMAA was assessed, holding uniquely associated cognitive test scores constant. RESULTS: Those receiving assistance with medication management performed worse across all neurocognitive domains and the MMAA compared with independent counterparts. EF was the only unique cognitive predictor of medication management status. When modeled alone, EF and MMAA performance correctly classified 79.5% and 80.8% of cases, respectively. When modeled together, both were independently associated with medication management status and correctly classified 83.3% of cases. CONCLUSIONS: EF uniquely predicted medication management status beyond other cognitive domains. The MMAA provided complementary predictive utility. Concurrent interpretation of executive functioning and MMAA performance is advised when assessing older adults suspected of medication mismanagement. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Healthy Lifestyle Behaviors and Viewpoints Among Members of an Alzheimer Prevention Registry.

BACKGROUND: Research on Alzheimer disease and related dementias is increasingly focused on preventative strategies to target modifiable risk factors (eg, exercise, diet, cognitive stimulation) to reduce risk of cognitive decline, though it remains difficult for adults to adopt and maintain these behaviors on their own. METHODS/PARTICIPANTS: In this survey study, we examined knowledge about modifiable risk factors for dementia, engagement in healthy lifestyle behaviors, and associated barriers/facilitators in an Alzheimer disease prevention registry of at-risk, cognitively normal adults (n=135: 77% female; 96% Caucasian and non-Hispanic; mean age=66.1; 79% with family history of dementia; 46% with subjective memory decline). RESULTS: Participants reported high levels of engagement in exercise (mean 3.4 d/wk), a healthy diet (60% with a healthy/balanced diet), and cognitive stimulation (52% engaging in cognitive stimulation 3 to 7 d/wk), and most (56% to 57%) reported moderate to high knowledge about dementia and modifiable risk factors. Family history of dementia was associated with greater knowledge of risk factors for dementia (P=0.017), but not with knowledge of lifestyle recommendations to reduce risk (P=0.85). Most participants (63%) reported a preference for walking/running over other types of aerobic exercise. On average, participants reported that they would be willing to increase healthy lifestyle behaviors to achieve "moderate" risk reduction for dementia (∼21% to 23%, on a scale from 0% to 40%, reflecting mildly to substantially reduced risk). CONCLUSION: Results broaden our understanding of current habits and willingness to engage in healthy lifestyle behaviors, which may inform individualized lifestyle interventions and/or design of prevention trials, particularly among at-risk adults with subjective or mild cognitive concerns, who may be especially motivated and able to engage in lifestyle interventions, to optimize brain health and reduce risk of cognitive decline.

Diverse experiences and approaches to tele neuropsychology: Commentary and reflections over the past year of COVID-19.

Objectives: In response to the coronavirus disease 2019 (COVID-19) pandemic, neuropsychologists rapidly adopted teleneuropsychology (TeleNP) services to ensure continued clinical care. Prior to COVID-19, TeleNP was not widely used nor was it included in the majority of traditional practice or training models across graduate, internship, and postdoctoral programs. Out of necessity, the pandemic was a catalyst that promoted greater adoption of TeleNP services. In response, neuropsychological guidelines for modified assessments were developed and further empirical studies have been published. Numerous surveys in response to service delivery changes during COVID-19 now exist, but what follows is a commentary based on neuropsychologists' experiences with adapting clinical practice to TeleNP. Methods: Co-authors represent settings across academic medical centers, Veterans Affairs hospitals, and private practices that serve multiculturally diverse pediatric, adult, and geriatric populations in the United States. Results: The perspectives within this commentary aim to highlight the growth of TeleNP and highlight lessons learned from implementation across practice settings. Conclusions: Our goal is to help foster the development of further empirical studies through candid discussion of various TeleNP experiences and approaches. Through this reflective process, TeleNP presents both opportunities and challenges but it ultimately has potential to reduce healthcare disparities and enhance patient care.

Relationships among illness representations and depressive symptom severity in predominantly African-American and Caribbean-American people with epilepsy.

Objective: Depression is the most common psychiatric comorbidity among people with epilepsy (PWE) and tends to be more prevalent among people of color (POC) and those with intractable seizures. However, the extent to which illness-related perceptions are associated with depressive symptom severity among POC with intractable seizures is unclear. Method: This cross-sectional study examined relationships among illness representations and self-rated depressive symptoms in 55 PWE (M Age = 41; 61.8% female) with intractable seizures (M seizures per month = 2) who identified as Black/African-American (52.7%), Black/Caribbean-American (27.3%), and/or Hispanic/Latino (21.8%). Epilepsy-related illness perceptions were assessed with the Illness Perception Questionnaire-Revised and depression was measured via the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E). Results: Nearly half of the sample (41.8%) scored above the NDDI-E depression cut-off. PWE endorsing more severe depressive symptoms indicated that their epilepsy had more negative consequences, was hard to comprehend, was insufficiently controlled by treatment, and had a negative emotional impact (p's ≤ 0.02). Controlling for sex, these four illness representations accounted for 48% of the variance in depression severity. Interestingly, participants with probable major depressive episodes were more likely to endorse several psychological causes of seizures compared to non-depressed PWE. Conclusions: Worse depression symptom severity was associated with negative illness perceptions and a tendency to attribute one's epilepsy to psychological causes. Future research is needed to understand how the relationship between negative illness perceptions and depression symptoms unfold over time and whether interventions aimed at modifying illness representations reduce psychological distress in diverse PWE.

Impact of Delirium on Outcomes After Intracerebral Hemorrhage.

BACKGROUND AND PURPOSE: Delirium portends worse outcomes after intracerebral hemorrhage (ICH), but it is unclear if symptom resolution or postacute care intensity may mitigate its impact. We aimed to explore differences in outcome associated with delirium resolution before hospital discharge, as well as the potential mediating role of postacute discharge site. METHODS: We performed a single-center cohort study on consecutive ICH patients over 2 years. Delirium was diagnosed according to DSM-5 criteria and further classified as persistent or resolved based on delirium status at hospital discharge. We determined the impact of delirium on unfavorable 3-month outcome (modified Rankin Scale score, 4-6) using logistic regression models adjusted for established ICH predictors, then used mediation analysis to examine the indirect effect of delirium via postacute discharge site. RESULTS: Of 590 patients (mean age 70.5±15.5 years, 52% male, 83% White), 59% (n=348) developed delirium during hospitalization. Older age and higher ICH severity were delirium risk factors, but only younger age predicted delirium resolution, which occurred in 75% (161/215) of ICH survivors who had delirium. Delirium was strongly associated with unfavorable outcome, but patients with persistent delirium fared worse (adjusted odds ratio [OR], 7.3 [95% CI, 3.3-16.3]) than those whose delirium resolved (adjusted OR, 3.1 [95% CI, 1.8-5.5]). Patients with delirium were less likely to be discharged to inpatient rehabilitation than skilled nursing facilities (adjusted OR, 0.31 [95% CI, 0.17-0.59]), and postacute care site partially mediated the relationship between delirium and functional outcome in ICH survivors, leading to a 25% reduction in the effect of delirium (without mediator: adjusted OR, 3.0 [95% CI, 1.7-5.6]; with mediator: adjusted OR, 2.3 [95% CI, 1.2-4.3]). CONCLUSIONS: Acute delirium resolves in most patients with ICH by hospital discharge, which was associated with better outcomes than in patients with persistent delirium. The impact of delirium on outcomes may be further mitigated by postacute rehabilitation.

Common biomarkers of physiologic stress and associations with delirium in patients with intracerebral hemorrhage.

PURPOSE: To examine associations between physiologic stress and delirium in the setting of a direct neurologic injury. MATERIALS AND METHODS: We obtained initial neutrophil-to-lymphocyte ratio (NLR), glucose, and troponin in consecutive non-comatose patients with non-traumatic intracerebral hemorrhage (ICH) over 1 year, then used multivariable regression models to determine associations between each biomarker and incident delirium. Delirium diagnoses were established using DSM-5-based methods, with exploratory analyses further categorizing delirium as first occurring <24 h ("early-onset") or > 24 h after presentation ("later-onset"). RESULTS: Of 284 patients, delirium occurred in 55% (early-onset: 39% [n = 111]; later-onset: 16% [n = 46]). Patients with delirium had higher NLR (mean 9.0 ± 10.4 vs. 6.4 ± 5.5; p = 0.01), glucose (mean 146.5 ± 59.6 vs. 129.9 ± 41.4 mg/dL; p = 0.008), and a higher frequency of elevated troponin (>0.05 ng/mL; 21% vs. 10%, p = 0.02). In adjusted models, elevated NLR (highest quartile: OR 3.4 [95% CI 1.5-7.8]), glucose (>180 mg/dL: OR 3.1 [95% CI 1.1-8.2]), and troponin (OR 3.0 [95% CI 1.2-7.2]) were each associated with delirium, but only initial NLR was specifically associated with later-onset delirium and with delirium in non-mechanically ventilated patients. CONCLUSIONS: Stress-related biomarkers corresponding to multiple organ systems are associated with ICH-related delirium. Early NLR elevation may also predict delayed-onset delirium, potentially implicating systemic inflammation as a contributory delirium mechanism.

Anticholinergic/Sedative Drug Burden and Subjective Cognitive Decline in Older Adults at Risk of Alzheimer's Disease.

BACKGROUND: Anticholinergic/sedative drug use, measured by the Drug Burden Index (DBI), has been linked to cognitive impairment in older adults. Subjective cognitive decline (SCD) may be among the first symptoms patients with Alzheimer's disease (AD) experience. We examined whether DBI values are associated with SCD in older adults at risk of AD. We hypothesized that increased DBI would be associated with greater SCD at older ages. METHOD: Two-hundred-six community-dwelling, English-speaking adults (age = 65 ± 9 years) at risk of AD (42% apolipoprotein ε4 carriers; 78% with AD family history) were administered a single question to ascertain SCD: "Do you feel like your memory is becoming worse?" Response options were "No"; "Yes, but this does not worry me"; and "Yes, this worries me." DBI values were derived from self-reported medication regimens using older adult dosing recommendations. Adjusting for relevant covariates (comorbidities and polypharmacy), we examined independent effects of age and DBI on SCD, as well as the moderating effect of age on the DBI-SCD association at mean ± 1 SD of age. RESULTS: Both SCD and anticholinergic/sedative drug burden were prevalent. Greater drug burden was predictive of SCD severity, but age alone was not. A significant DBI*Age interaction emerged with greater drug burden corresponding to more severe SCD among individuals age 65 and older. CONCLUSION: Anticholinergic/sedative drug exposure was associated with greater SCD in adults 65 and older at risk for AD. Longitudinal research is needed to understand if this relationship is a pre-clinical marker of neurodegenerative disease and predictive of future cognitive decline.

The Clinical Utility and Ecological Validity of the Medication Management Ability Assessment in Older Adults with and without Dementia.

OBJECTIVE: Older adults are susceptible to medication nonadherence, which may signify functional decline. Thus, performance-based proxies of medication-taking behavior may help diagnose dementia. We assessed the Medication Management Ability Assessment's (MMAA) clinical utility and ecological validity. METHOD: This was a retrospective chart review of 180 outpatients (age = 72 ± 8 years) who completed the MMAA during clinical evaluations. Forty-seven were cognitively normal (CN), 103 had mild cognitive impairment (MCI), and 30 had dementia. Most (136) were independent in medication management, whereas 28 were assisted and 16 were dependent. Kruskal-Wallis tests assessed whether MMAA scores differed by diagnosis and independence. Receiver operating characteristic (ROC) analyses identified diagnostic cut-offs. Classification accuracy estimates were derived. RESULTS: MMAA performance differed across diagnosis as expected (p's < .001). Those who were independent in medication management outperformed assisted and dependent counterparts (p's < .001). Assisted and dependent cases were no different. At a cut-off = 23, the MMAA was good-to-strong in distinguishing dementia from CN cases (Sn = 0.96, Sp = 0.83), dementia from MCI (Sn = 0.70, Sp = 0.83), and dementia from functionally unimpaired cases (Sn = 0.78, Sp = 0.83). At a cut-off = 27, it had good sensitivity but weaker specificity when distinguishing both MCI and all cognitively impaired patients (MCI and dementia) from CN cases (Sn = 0.81, Sp = 0.66 and Sn = 0.81, Sp = 0.72, respectively). CONCLUSIONS: The MMAA has ecological validity and clinical utility in identifying dementia. Its inclusion in neuropsychological practice may be especially useful when medication mismanagement is suspected.

Deconstructing Poststroke Delirium in a Prospective Cohort of Patients With Intracerebral Hemorrhage.

OBJECTIVES: Poststroke delirium may be underdiagnosed due to the challenges of disentangling delirium symptoms from underlying neurologic deficits. We aimed to determine the prevalence of individual delirium features and the frequency with which they could not be assessed in patients with intracerebral hemorrhage. DESIGN: Prospective observational cohort study. SETTING: Neurocritical Care and Stroke Units at a university hospital. PATIENTS: Consecutive patients with intracerebral hemorrhage from February 2018 to May 2018. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: An attending neurointensivist performed 257 total daily assessments for delirium on 60 patients (mean age 68.0 [SD 18.4], 62% male, median intracerebral hemorrhage score 1.5 [interquartile range 1-2], delirium prevalence 57% [n = 34]). Each assessment included the Confusion Assessment Method for the ICU, Intensive Care Delirium Screening Checklist, a focused bedside cognitive examination, chart review, and nurse interview. We characterized individual symptom prevalence and established delirium diagnoses using Diagnostic and Statistical Manual of Mental Disorders, fifth edition criteria, then compared performance of the Confusion Assessment Method for the ICU and Intensive Care Delirium Screening Checklist against reference-standard expert diagnosis. Symptom fluctuation (61% of all assessments), psychomotor changes (46%), sleep-wake disturbances (46%), and impaired arousal (37%) had the highest prevalence and were never rated "unable to assess," while inattention (36%), disorientation (27%), and disorganized thinking (18%) were also common but were often rated 'unable to assess' (32%, 43%, and 44% of assessments, respectively), most frequently due to aphasia (32% of patients). Including nonverbal assessments of attention decreased the frequency of 'unable to assess' ratings to 11%. Since the Intensive Care Delirium Screening Checklist may be positive without the presence of symptoms that require verbal assessment, it was more accurate (sensitivity = 77%, specificity = 97%, area under the receiver operating characteristic curve, 0.87) than the Confusion Assessment Method for the ICU (sensitivity = 41%, specificity = 88%, area under the receiver operating characteristic curve, 0.64). CONCLUSIONS: Delirium is common after intracerebral hemorrhage, but severe neurologic deficits may confound its assessment and lead to underdiagnosis. The Intensive Care Delirium Screening Checklist's inclusion of nonverbal features may make it more accurate than the Confusion Assessment Method for the ICU in patients with neurologic deficits, but novel tools designed for such patients may be warranted.