Left Frontoparietal Control Network Connectivity Moderates the Effect of Amyloid on Cognitive Decline in Preclinical Alzheimer's Disease: The A4 Study.

BACKGROUND: Stronger resting-state functional connectivity of the default mode and frontoparietal control networks has been associated with cognitive resilience to Alzheimer's disease related pathology and neurodegeneration in smaller cohort studies. OBJECTIVES: We investigated whether these networks are associated with longitudinal CR to AD biomarkers of beta-amyloid (Aß). DESIGN: Longitudinal mixed. SETTING: The Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) study and its natural history observation arm, the Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) study. PARTICIPANTS: A sample of 1,021 cognitively unimpaired older adults (mean age = 71.2 years [SD = 4.7 years], 61% women, 42% APOEε4 carriers, 52% Aß positive). MEASUREMENTS: Global cognitive performance (Preclinical Alzheimer's Cognitive Composite) was assessed over an average 5.4 year follow-up period (SD = 2 years). Cortical Aß and functional connectivity (left and right frontoparietal control and default mode networks) were estimated from fMRI and PET, respectively, at baseline. Covariates included baseline age, APOEε4 carrier status, years of education, adjusted gray matter volume, head motion, study group, cumulative treatment exposure, and cognitive test version. RESULTS: Mixed effects models revealed that functional connectivity of the left frontoparietal control network moderated the negative effect of Aß on cognitive change (p = .025) such that stronger connectivity was associated with reduced Aß-related cognitive decline. CONCLUSIONS: Our results demonstrate a potential protective effect of functional connectivity in preclinical AD, such that stronger connectivity in this network is associated with slower Aß-related cognitive decline.

Investigating the Factor Structure of the Preclinical Alzheimer Cognitive Composite and Cognitive Function Index across Racial/Ethnic, Sex, and Aß Status Groups in the A4 Study.

BACKGROUND: Disparities in Alzheimer's disease (AD) are well-documented among different racial/ethnic groups and between sex/genders. Neuropsychological assessment provides important information about cognitive changes and can offer valuable insights into disparities. However, neuropsychological measures must be comparable across racial/ethnic and sex/gender groups to accurately interpret disparities. OBJECTIVES: To evaluate measurement invariance (equivalence) of the Preclinical Alzheimer Cognitive Composite (PACC) and the Cognitive Function Index across racial/ethnic, sex/gender, and ß-amyloid (Aß) status groups. DESIGN, SETTING, PARTICIPANTS: Cross-sectional analysis of screening data from the Anti-Amyloid in Asymptomatic AD (A4) Study. The study enrolled participants aged 65-85 from sites across the United States, Canada, Australia, and Japan. MEASUREMENTS: Participants completed the PACC and the Cognitive Function Index. Participants classified as cognitively normal also underwent a Positron Emission Tomography (PET) scan to determine Aß status. RESULTS: Participants self-identified as non-Hispanic White (n=5241), non-Hispanic Black (n=267), Asian (n=228), or Hispanic White (n=225) as well as male (n=2885) or female (n=3076). Among those who underwent a PET scan, 3115 were classified as Aß- and 1309 were classified as Aß+. We found support for a one-factor model for both the PACC and Cognitive Function Index across the full sample and in samples stratified by race/ethnicity, sex/gender, and Aß status. The one-factor model of the PACC and Cognitive Function Index demonstrated scalar measurement invariance across racial/ethnic, sex/gender, and Aß status groups. CONCLUSIONS: Our findings suggest that performance on the PACC and Cognitive Function Index can be compared across the racial/ethnic, sex/gender, and Aß status groups examined in this study.

Item-Level Investigation of Participant and Study Partner Report on the Cognitive Function Index from the A4 Study Screening Data.

BACKGROUND: Greater subjective cognitive changes on the Cognitive Function Index (CFI) was previously found to be associated with elevated amyloid (Aß) status in participants screening for the A4 Study, reported by study partners and the participants themselves. While the total score on the CFI related to amyloid for both sources respectively, potential differences in the specific types of cognitive changes reported by either participants or their study partners was not investigated. OBJECTIVES: To determine the specific types of subjective cognitive changes endorsed by participants and their study partners that are associated with amyloid status in individuals screening for an AD prevention trial. DESIGN, SETTING, PARTICIPANTS: Four thousand four hundred and eighty-six cognitively unimpaired (CDR=0; MMSE 25-30) participants (ages 65-85) screening for the A4 Study completed florbetapir (Aß) Positron Emission Tomography (PET) imaging. Participants were classified as elevated amyloid (Aß+; n=1323) or non-elevated amyloid (Aß-; n=3163). MEASUREMENTS: Prior to amyloid PET imaging, subjective report of changes in cognitive functioning were measured using the CFI (15 item questionnaire; Yes/Maybe/No response options) and administered separately to both participants and their study partners (i.e., a family member or friend in regular contact with the participant). The impact of demographic factors on CFI report was investigated. For each item of the CFI, the relationship between Aß and CFI response was investigated using an ordinal mixed effects model for participant and study partner report. RESULTS: Independent of Aß status, participants were more likely to report 'Yes' or 'Maybe' compared to the study partners for nearly all CFI items. Older age (r= 0.06, p<0.001) and lower education (r=-0.08, p<0.001) of the participant were associated with higher CFI. Highest coincident odds ratios related to Aß+ for both respondents included items assessing whether 'a substantial decline in memory' had occurred in the last year (ORsp= 1.35 [95% CI 1.11, 1.63]; ORp= 1.55 [95% CI 1.34, 1.79]) and whether the participant had 'seen a doctor about memory' (ORsp= 1.56 [95% CI 1.25, 1.95]; ORp =1.71 [95% CI 1.37, 2.12]). For two items, associations were significant for only study partner report; whether the participant 'Repeats questions' (ORsp = 1.30 [95% CI 1.07, 1.57]) and has 'trouble following the news' (ORsp= 1.46[95% CI 1.12, 1.91]). One question was significant only for participant report; 'trouble driving' (ORp= 1.25 [95% CI 1.04, 1.49]). CONCLUSIONS: Elevated Aß is associated with greater reporting of subjective cognitive changes as measured by the CFI in this cognitively unimpaired population. While participants were more likely than study partners to endorse change on most CFI items, unique CFI items were associated with elevated Aß for participants and their study partners, supporting the value of both sources of information in clinical trials.

Computerized Cognitive Testing for Use in Clinical Trials: A Comparison of the NIH Toolbox and Cogstate C3 Batteries.

BACKGROUND: As prevention trials for Alzheimer's disease move into asymptomatic populations, identifying older individuals who manifest the earliest cognitive signs of Alzheimer's disease is critical. Computerized cognitive testing has the potential to replace current gold standard paper and pencil measures and may be a more efficient means of assessing cognition. However, more empirical evidence about the comparability of novel computerized batteries to paper and pencil measures is required. OBJECTIVES: To determine whether two computerized IPad batteries, the NIH Toolbox Cognition Battery and Cogstate-C3, similarly predict subtle cognitive impairment identified using the Preclinical Alzheimer Cognitive Composite (PACC). DESIGN, SETTING, PARTICIPANTS: A pilot sample of 50 clinically normal older adults (Mage=68.5 years±7.6, 45% non-Caucasian) completed the PACC assessment, and the NIH Toolbox and Cogstate-C3 at research centers of Massachusetts General and Brigham and Women's Hospitals. Participants made 3-4 in-clinic visits, receiving the PACC first, then the NIH Toolbox, and finally the Cogstate-C3.>= 0.5SD), versus subtle cognitive impairment (<0.5SD). Composites for each computerized battery were created using principle components analysis, and compared with the PACC using non-parametric Spearman correlations. Logistic regression analyses were used to determine which composite was best able to classify subtle cognitive impairment from typical performance. RESULTS: The NIH Toolbox formed one composite and exhibited the strongest within-battery alignment, while the Cogstate-C3 formed two distinct composites (Learning-Memory and Processing Speed-Attention). The NIH Toolbox and C3 Learning-Memory composites exhibited positive correlations with the PACC (ρ=0.49, p<0.001; ρ=0.58, p<0.001, respectively), but not the C3 Processing Speed-Attention composite, ρ=-0.18, p=0.22. The C3 Learning-Memory was the only composite that classified subtle cognitive impairment, and demonstrated the greatest sensitivity (62%) and specificity (81%) for that subtle cognitive impairment. CONCLUSIONS: Preliminary findings suggest that the NIH Toolbox has the advantage of showing the strongest overall clustering and alignment with standardized paper-and-pencil tasks. By contrast, Learning-Memory tasks within the Cogstate-C3 battery have the greatest potential to identify cross-sectional, subtle cognitive impairment as defined by the PACC.

Direct nursing care given to patients in a subacute rehabilitation center.

Direct nursing care observations were performed in a 57-bed head trauma subacute rehabilitation center on four day shifts, three evening shifts, and three night shifts. The type of nursing care and level of personnel providing this care are described. Although nursing assistants give the majority of direct care, the RN still provides most of the psychosocial care that is crucial for these patients and their families.

Measuring the requirements for nursing care in the acute head trauma patient.

A measuring tool to assess the requirements for nursing care, define patient care goals, and document progress was developed in a 57-bed head trauma sub-acute rehabilitation center. The process of tool development and reliability testing is described.