Distinct medical and substance use histories associate with cognitive decline in Alzheimer's disease

IF 13 1区 医学 Q1 CLINICAL NEUROLOGY
Clayton Mansel, Diego R. Mazzotti, Ryan Townley, Mihaela E. Sardiu, Russell H. Swerdlow, Robyn A. Honea, Olivia J. Veatch
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引用次数: 0

Abstract

INTRODUCTION

Phenotype clustering reduces patient heterogeneity and could be useful when designing precision clinical trials. We hypothesized that the onset of early cognitive decline in patients would exhibit variance predicated on the clinical history documented prior to an Alzheimer's disease (AD) diagnosis.

METHODS

Self-reported medical and substance use history (i.e., problem history) was used to cluster participants from the National Alzheimer's Coordinating Center (NACC) into distinct subtypes. Linear mixed effects modeling was used to determine the effect of problem history subtype on cognitive decline over 2 years.

RESULTS

Two thousand seven hundred fifty-four individuals were partitioned into three subtypes: minimal (n = 1380), substance use (n = 1038), and cardiovascular (n = 336). The cardiovascular problem history subtype had significantly worse cognitive decline over a 2 year follow-up period (p = 0.013).

DISCUSSION

Our study highlights the need to account for problem history to reduce heterogeneity of outcomes in AD clinical trials.

Highlights

  • Clinical data were used to identify subtypes of patients with Alzheimer's disease (AD) in the National Alzheimer's Coordinating Center dataset.
  • Three problem history subtypes were found: minimal, substance use, and cardiovascular.
  • The mean change in Clinical Dementia Rating Sum of Boxes (CDR-SB) was assessed over a 2 year follow-up.
  • The cardiovascular subtype was associated with the worst cognitive decline.
  • The magnitude of change in CDR-SB was similar to recent AD clinical trials.

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来源期刊
Alzheimer's & Dementia
Alzheimer's & Dementia 医学-临床神经学
CiteScore
14.50
自引率
5.00%
发文量
299
审稿时长
3 months
期刊介绍: Alzheimer's & Dementia is a peer-reviewed journal that aims to bridge knowledge gaps in dementia research by covering the entire spectrum, from basic science to clinical trials to social and behavioral investigations. It provides a platform for rapid communication of new findings and ideas, optimal translation of research into practical applications, increasing knowledge across diverse disciplines for early detection, diagnosis, and intervention, and identifying promising new research directions. In July 2008, Alzheimer's & Dementia was accepted for indexing by MEDLINE, recognizing its scientific merit and contribution to Alzheimer's research.
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