Objectives: To assess the effectiveness of medications used in the management of Alzheimer's disease and related dementias (ADRD) on cognition and activity of daily living (ADL) trajectories and to determine whether sex modifies these effects.
Design: Two-year (2007-2008) longitudinal study.
Setting: Medicare enrollment and claims data linked to the Minimum Dataset 2.0.
Participants: Older nursing home (NH) residents with newly diagnosed ADRD (n = 18,950).
Measurements: Exposures included four medication classes: antidementia medications (ADMs), antipsychotics, antidepressants, and mood stabilizers. Outcomes included ADLs and cognition (Cognitive Performance Scale (CPS)). Marginal structural models were employed to account for time-dependent confounding.
Results: The mean age was 83.6, and 76% of the sample was female. Baseline use of ADMs was 15%, antidepressants was 40%, antipsychotics was 13%, and mood stabilizers was 3%. Mean baseline ADL and CPS scores were 16.6 and 2.1, respectively. ADM use was not associated with change in ADLs over time but was associated with a slower CPS decline (slope difference: -0.09 points/year, 99% confidence interval (CI) = -0.14 to -0.03). Antidepressant use was associated with slower declines in ADL (slope difference: -0.36 points/year, 99% CI = -0.58 to -0.14) and CPS (slope difference: -0.12 points/year, 99% CI = -0.17 to -0.08). Sex modified the effect of both antipsychotic and mood stabilizer use on ADLs; female users declined most quickly. Antipsychotic use was associated with slower CPS decline (slope difference: -0.11 points/year, 99% CI = -0.17 to -0.06), whereas mood stabilizer use had no effect.
Conclusion: Despite the observed statistically significantly slower declines in cognition with ADMs, antidepressants, and antipsychotics and the slower ADL decline found with antidepressants, it is unlikely that these benefits are of clinical significance.
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http://dx.doi.org/10.1111/jgs.12838 | DOI Listing |
Alzheimers Dement
December 2024
Washington University School of Medicine, St. Louis, MO, USA.
Background: The well-accepted statistical efficacy inference approach for Alzheimer's disease (AD) clinical trials compares the absolute difference in change from baseline at the last study visit using MMRM (henceforth referred to as MMRM-Last-Visit). Recent AD clinical trials have shown that treatment effects may be manifested prior to 18 months. The objective is to evaluate models estimating an overall treatment effect across all post-baseline visits that may characterize disease modifying effects in contemporary early AD clinical trials.
View Article and Find Full Text PDFBackground: Dementia, a growing health crisis, disproportionally affects persons from racial/ethnic backgrounds and individuals with comorbidities. Latelife change in cognition is complex and nonlinear, as well as differential for these individuals. These individuals are also largely underrepresented in clinical trials.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Sheffield, Sheffield, United Kingdom.
Background: Marital status and living status are components of social isolation (SI), a modifiable factor thought to impact cognitive resilience, which has the potential to impact cognition throughout the course of Alzheimer's and related dementia (ADRD) diagnosis. Electronic health records (EHRs) offer access to large scale clinical data, capable of longitudinal analyses.
Method: Cognitive function measurement - Montreal Cognitive Assessment (MoCA) - data, demographic (including marital and living status as SI proxies) data and ADRD diagnosis data from patients aged 50+ years from Oxford Health NHS Foundation Trust (UK) were extracted using natural language processing algorithms from EHRs dated 1995 to 2022.
Eur Heart J Open
January 2025
Division of Cardiology, Department of Medicine, Université de Montréal, Montreal Heart Institute, 5000 Belanger Street, Montreal, Quebec, Canada H1T 1C8.
Aims: To better characterize functional consequences of the presence of COPD on cardiorespiratory fitness in patients with HF.
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Int J Med Sci
January 2025
Medical Oncology Department of Gastrointestinal Cancer, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, No.44 Xiaoheyan Road, Dadong District, Shenyang 110042, Liaoning Province, China.
Gastric cancer (GC) remains a significant global health challenge. This study aimed to comprehensively analyze GC epidemiology and risk factors to inform prevention and intervention strategies. We analyzed the Global Burden of Disease Study 2021 data, conducted 16 different machine learning (ML) models of NHANES data, performed Mendelian randomization (MR) studies on disease phenotypes, dietary preferences, microbiome, blood-based markers, and integrated differential gene expression and expression quantitative trait loci (eQTL) data from multiple cohorts to identify factors associated with GC risk.
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