Baseline Predictors of Study Discontinuation in a Preclinical Alzheimer’s Disease Clinical Trial

Abstract Background Participant dropout from study treatment in a clinical trial can leave a trial underpowered, produce bias in statistical analysis, and limit interpretability of study results. Retaining participants in clinical trials for the full study duration is therefore as important as participant recruitment. This analysis aims to identify the baseline characteristics of participants who discontinued during the blinded phase of one of the first and largest preclinical AD trial completed to date, the Anti‐Amyloid treatment in Asymptomatic AD (A4) Study. Method The sample consisted of all A4 trial randomized participants followed for 4.5 years through the COVID‐19 pandemic. Baseline demographic (with age centered at 73 years), clinical, amyloid PET and genetic predictors of study discontinuation were evaluated using a univariate generalized linear mixed model (GLMM), with study discontinuation status as the binary outcome, each predictor as a fixed effect, and site as a random effect to account for differences among study sites in the trial. Characteristics significant at p<0.10 were then included in a multivariable GLMM. Result Of 1169 randomized participants, 339 (29%) discontinued from the trial (median follow‐up time: 759 days). Main reasons included participant unwilling to continue (55.8%) and adverse events (18.9%). From the multivariable analysis, the two main predictors of study discontinuation were baseline State‐Trait Anxiety Inventory (STAI) scores (OR = 1.07 [95%CI = 1.02; 1.12]; p = 0.0024) and age (OR = 1.06 [95%CI = 1.03; 1.09]; p<0.0001). Participants with a family history of dementia (OR = 0.75 [95%CI = 0.55; 1.01]; p = 0.0627) and APOEe4 carriers (OR = 0.79 [95%CI = 0.6; 1.04]; p = 0.0941) were less likely to discontinue from the study, with the association being marginally significant. In these analyses, sex, race and ethnic underrepresented group (combined due to small sample sizes), cognitive scores and amyloid/tau PET scores were not associated with study dropout. Conclusion Older participants and those with higher levels of anxiety at baseline were more likely to discontinue while those who had a family history of dementia or were APOEe4 carriers were less likely to dropout. Continued analyses aim to identify post‐baseline and longitudinal predictors of attrition in this preclinical AD trial.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.093124
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

Baseline Predictors of Study Discontinuation in a Preclinical Alzheimer’s Disease Clinical Trial

Reisa Anne Sperling, Oliver Langford, Michael Donohue, Paul S. S Aisen et al.
Alzheimer s & Dementia
Statistical Methods in Clinical Trials
article

Baseline Predictors of Study Discontinuation in a Preclinical Alzheimer’s Disease Clinical Trial

Reisa Anne Sperling, Oliver Langford, Michael Donohue, Paul S. S Aisen, Joshua D. Grill, Rema Raman, Doris P. Molina‐Henry, Kedir Hussen
article en

Abstract

Abstract Background Participant dropout from study treatment in a clinical trial can leave a trial underpowered, produce bias in statistical analysis, and limit interpretability of study results. Retaining participants in clinical trials for the full study duration is therefore as important as participant recruitment. This analysis aims to identify the baseline characteristics of participants who discontinued during the blinded phase of one of the first and largest preclinical AD trial completed to date, the Anti‐Amyloid treatment in Asymptomatic AD (A4) Study. Method The sample consisted of all A4 trial randomized participants followed for 4.5 years through the COVID‐19 pandemic. Baseline demographic (with age centered at 73 years), clinical, amyloid PET and genetic predictors of study discontinuation were evaluated using a univariate generalized linear mixed model (GLMM), with study discontinuation status as the binary outcome, each predictor as a fixed effect, and site as a random effect to account for differences among study sites in the trial. Characteristics significant at p<0.10 were then included in a multivariable GLMM. Result Of 1169 randomized participants, 339 (29%) discontinued from the trial (median follow‐up time: 759 days). Main reasons included participant unwilling to continue (55.8%) and adverse events (18.9%). From the multivariable analysis, the two main predictors of study discontinuation were baseline State‐Trait Anxiety Inventory (STAI) scores (OR = 1.07 [95%CI = 1.02; 1.12]; p = 0.0024) and age (OR = 1.06 [95%CI = 1.03; 1.09]; p<0.0001). Participants with a family history of dementia (OR = 0.75 [95%CI = 0.55; 1.01]; p = 0.0627) and APOEe4 carriers (OR = 0.79 [95%CI = 0.6; 1.04]; p = 0.0941) were less likely to discontinue from the study, with the association being marginally significant. In these analyses, sex, race and ethnic underrepresented group (combined due to small sample sizes), cognitive scores and amyloid/tau PET scores were not associated with study dropout. Conclusion Older participants and those with higher levels of anxiety at baseline were more likely to discontinue while those who had a family history of dementia or were APOEe4 carriers were less likely to dropout. Continued analyses aim to identify post‐baseline and longitudinal predictors of attrition in this preclinical AD trial.

Alzheimer s & DementiaVol. 20(S6)
University of Southern California (US), Brigham and Women's Hospital (US), Harvard University (US), University of California, Irvine (US)
Openalex Percentile: Top 74%
Statistical Methods in Clinical Trials
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