Greater White Matter Hyperintensity Volume Is Associated with the Number of Microhemorrhages in Preclinical Alzheimer's Disease.

BACKGROUND: Increased white matter hyperintensity (WMH) volume visible on MRI is a common finding in Alzheimer's disease (AD). We hypothesized that WMH in preclinical AD is associated with the presence of advanced vessel amyloidosis manifested as microhemorrhages (MCH). OBJECTIVES: 1) To assess the relationship between baseline WMH volume and baseline MCH. 2) To assess the relationship between longitudinal WMH accumulation and last MRI MCH during the double-blind phase of the A4 trial. DESIGN: A multicenter, randomized, double-blind, placebo-controlled, Phase 3 study comparing solanezumab with placebo given as infusions once every 4 weeks over 4.5 years in subjects with preclinical AD, defined as having evidence of elevated brain amyloid before the stage of clinically evident cognitive impairment, with an optional open-label extension period. SETTING: Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) study. PARTICIPANTS: A sample of 1157 cognitively unimpaired older adults (mean age = 71.9 years [SD = 4.8 years], 59% women, 59% APOE ε4 carriers). MEASUREMENTS: A linear regression model was used to assess the impact of baseline MCH amount (0, 1, 2+) on WMH volume. A linear mixed-effects model was used to assess the impact of last MRI MCH on longitudinal WMH. All models were corrected for age, sex, grey matter volume, cortical amyloid PET, APOE ε4 status, and treatment group. RESULTS: Baseline WMH volume was greater in individuals with more than one MCH compared to those with no MCH (t=4.8, p<0.001). The longitudinal increase in WMH amongst individuals with one (t=2.3, p=0.025) and more than one MCH (t=6.7, p<0.001) at the last MRI was greater than those with no MCH. CONCLUSION: These results indicate a strong association between WMH and MCH, a common manifestation of cerebral amyloid angiopathy and ARIA-H. These results suggest that increased WMH volume may represent an early sign of vessel amyloidosis, likely prior to the emergence of MCH.

Pre-Randomization Predictors of Study Discontinuation in a Preclinical Alzheimer's Disease Randomized Controlled Trial.

BACKGROUND: Participant discontinuation 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. OBJECTIVE: This analysis aims to identify associations of pre-randomization characteristics of participants with premature discontinuation during the blinded phase of the Anti-Amyloid treatment in Asymptomatic AD (A4) Study. DESIGN: All A4 trial randomized participants were classified as having prematurely discontinued study during the blinded period of the study for any reason (dropouts) or completed the blinded phase of the study on treatment (completers). SETTING: The trial was conducted across 67 study sites in the United States, Canada, Japan and Australia through the global COVID-19 pandemic. PARTICIPANTS: The sample consisted of all 1169 A4 trial randomized participants. MEASUREMENTS: Pre-randomization demographic, clinical, amyloid PET and genetic predictors of study discontinuation were evaluated using a univariate generalized linear mixed model (GLMM), with 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. RESULTS: Among randomized participants, 339 (29%) discontinued the study during the blinded period (median follow-up time in trial: 759 days). From the multivariable analysis, the two main predictors of study discontinuation were screening State-Trait Anxiety Inventory (STAI) scores (OR = 1.07 [95%CI = 1.02; 1.12]; p=0.002) and age (OR = 1.06 [95%CI = 1.03; 1.09]; p<0.001). Participants with a family history of dementia (OR = 0.75 [95%CI = 0.55; 1.01]; p=0.063) and APOE ε4 carriers (OR = 0.79 [95%CI = 0.6; 1.04]; p=0.094) were less likely to discontinue from the study, with the association being marginally significant. In these analyses, sex, race and ethnicity, cognitive scores and amyloid/tau PET scores were not associated with study dropout. CONCLUSIONS: In the A4 trial, older participants and those with higher levels of anxiety at baseline as measured by the STAI were more likely to discontinue while those who had a family history of dementia or were APOE ε4 carriers were less likely to drop out. These findings have direct implications for future preclinical trial design and selection processes to identify those individuals at greatest risk of dropout and provide information to the study team to develop effective selection and retention strategies in AD prevention studies.

Sensitivity of the Preclinical Alzheimer's Cognitive Composite (PACC), PACC5, and Repeatable Battery for Neuropsychological Status (RBANS) to Amyloid Status in Preclinical Alzheimer's Disease -Atabecestat Phase 2b/3 EARLY Clinical Trial.

BACKGROUND: Cognitive composites commonly serve as primary outcomes in Alzheimer's disease (AD) secondary prevention trials. OBJECTIVE: To evaluate the association between amyloid (Aß) burden level (+/-) and performance on three separate composite endpoints: Preclinical Alzheimer's Cognitive Composite (PACC), PACC+Semantic Fluency (PACC5), and Repeatable Battery for Neuropsychological Status (RBANS). DESIGN: Screening data from the randomized, double-blind, placebo-controlled, phase 2b/3 atabecestat EARLY study in preclinical AD participants were used in this analysis. SETTING: The EARLY study was conducted at 143 centers across 14 countries. PARTICIPANTS: 3,569 cognitively unimpaired older adults (Clinical Dementia Rating of 0; aged 60-85 years) screened for inclusion in the EARLY study with Aß status and at least PACC or RBANS at screening were included. Participants were categorized as those with non-pathological Aß levels (Aß-, n=2,824) and those with pathological Aß levels (Aß+, n=745) based on florbetapir uptake or levels of cerebrospinal fluid Aß1-42. MEASUREMENTS: Analysis of Covariance models controlling for age, sex, and education were used to examine the difference in PACC, PACC5, and RBANS between Aß groups. Nonparametric bootstrap was used to compare sensitivity of composites to differentiate between Aß status. RESULTS: Of 3,569 participants, 2,116 were women (59%); 3,006 were Caucasian (84%); mean (SD) age was 68.98 (5.28) years. Aß+ participants performed worse versus Aß- participants on all cognitive composites though the magnitude of the Aß effect was generally small. The Aß+/- effect size for the PACC (Cohen's d=-0.15) was significantly greater than the RBANS (d=-0.097) while the PACC5 effect size (d=-0.139) was numerically larger than the RBANS. When examining subscores from the composites, memory tests (i.e., Free and Cued Selective Reminding Test, Figure Recall) and speed of processing (i.e., Digit-Symbol/Coding on the PACC/RBANS) exhibited the largest Aß+/- effect sizes. CONCLUSIONS: Cross-sectional relationships between Aß and cognition among clinically unimpaired older adults are detectable on multi-domain cognitive composites but are relatively small in magnitude. The Aß+/- group effect was statistically larger for PACC and marginally larger for PACC5 versus RBANS. However, interpretation of composite sensitivity to Aß status cross-sectionally cannot be generalized to sensitivity to change over time.

Telephone Problem-Solving Treatment Improves Sleep Quality in Service Members With Combat-Related Mild Traumatic Brain Injury: Results From a Randomized Clinical Trial.

OBJECTIVE: Evaluate sleep quality, its correlates, and the effect of telephone-based problem-solving treatment (PST) in active duty postdeployment service members with mild traumatic brain injury (mTBI) SETTING:: Randomized clinical trial. PARTICIPANTS: Active duty service members with combat-related mTBI. STUDY DESIGN: Education-only (EO) and PST groups (N = 178 each) received printed study materials and 12 educational brochures. The PST group additionally received up to 12 PST telephone calls addressing participant-selected issues. Outcomes were evaluated postintervention (6 months) and at 12 months. MAIN MEASURE: Pittsburgh Sleep Quality Index. RESULTS: Sleep quality was manifestly poor in both groups at baseline (Pittsburgh Sleep Quality Index = 12.5 ± 4). Overall sleep quality was significantly different between the PST and EO groups at 6 months (P = .003) but not at 12 months. Longitudinally, PST significantly improved sleep quality at 6 months (P = .001) but not over the follow-up. Low sleep quality was associated with concussion symptoms, pain, depression, and posttraumatic stress disorder at all time points (P < .0001). CONCLUSIONS: Sleep disorders, common in postdeployment service members with mTBI, are strongly associated with the presence of pain, posttraumatic stress disorder, and depression. Telephone-based PST may be an effective therapeutic approach for reducing sleep disorders in this population. Research should focus on maintenance of treatment gains.

Idebenone treatment fails to slow cognitive decline in Alzheimer's disease.

OBJECTIVE: To determine the effect of idebenone on the rate of decline in Alzheimer's disease (AD). METHODS: A 1-year, multicenter, double-blind, placebo-controlled, randomized trial was conducted. Subjects were over age 50 with a diagnosis of probable AD and had Mini-Mental State Examination (MMSE) scores between 12 and 25. Subjects were treated with idebenone 120, 240, or 360 mg tid, each of which was compared with placebo. Primary outcome measures were the Alzheimer's Disease Assessment Scale-Cognitive Subcomponent (ADAS-Cog) and a Clinical Global Impression of Change (CGIC). Secondary outcome measures included measurements of activities of daily living, the Behavioral Pathology in Alzheimer's Disease Rating Scale, and the MMSE. RESULTS: Five hundred thirty-six subjects were enrolled and randomized to the four groups. Except for a slight difference in age, there were no differences in patient characteristics at baseline. For the primary outcome measures, there were no significant overall differences between the treatment groups in the prespecified four-group design. In an exploratory two-group analysis comparing all three treated groups combined with placebo, drug-treated patients performed better on the ADAS-Cog in both the intent-to-treat (ITT) and completers analyses. There were no differences in the CGIC scores for the ITT or completers analyses in either the four-group or the two-group analyses. There were no overall differences on any of the secondary outcome measures in any of the analyses. CONCLUSION: Idebenone failed to slow cognitive decline in AD that was of sufficient magnitude to be clinically significant.