Stricker, Nikki H.

AbstractBackgroundMayo Test Drive (MTD): Test Development through Rapid Iteration, Validation and Expansion, is a web‐based platform for self‐administered assessment for novel (Stricker Learning Span) and open access (Symbols Test) cognitive measures with previously demonstrated validity and reliability. Our study aim was to examine the usability of MTD, defined as the extent to which MTD was used to achieve the desired study goal of completing a testing session among participants willing to engage in an all‐remote study.Methods248 Mayo Clinic Study of Aging and Mayo Alzheimer’s Disease Research Center participants were invited to participate in this ancillary, uncompensated remote pilot study via email. To examine 1) willingness to participate in a remote cognitive assessment study and 2) usability of MTD, the initiation and completion rates of MTD were examined by cognitively unimpaired (CU; n = 142) and cognitively impaired (CI; n = 106) groups (see Figure 1). These rates and other factors associated with MTD feasibility were further explored across age in CU (i.e., 50‐69, 70‐79, and 80+ years) and specific diagnostic groups in CI (i.e., individuals with dementia, mild cognitive impairment (MCI), and possible MCI).ResultsSession completion rate (usability) was 98% across all participants who chose to participate, and, surprisingly, completion rates did not vary by age or diagnostic groups (p =.69; see Table 1). As expected, more individuals chose to participate in the CU (77%) versus CI (52%) group (p < .001). In terms of feasibility, individuals over 80 and with CI were more likely to have some contact with the study coordinator. Use of smartphones decreased with age, with most CU individuals over 70 using a personal computer (69‐73%; Table 2).ConclusionsThough the CI group was less likely to choose to participate than the CU group, out of those that did choose to participate the rate of completion was 98%. This demonstrates high usability of MTD. Study coordinator support and a flexible testing platform is critical for facilitating participation in remote testing across the aging population, and more supports and incentives may be needed for individuals with cognitive impairment to improve participation rates.

AbstractIntroductionTo address the need for remote assessments of cognitive decline and dementia, we developed and administered electronic versions of the Clinical Dementia Rating (CDR®) and the Financial Capacity Instrument‐Short Form (FCI‐SF) (F‐CAP®), called the eCDR and eFCI, respectively.MethodsThe CDR and FCI‐SF were adapted for remote, unsupervised, online use based on item response analysis of the standard instruments. Participants completed the eCDR and eFCI first in clinic, and then at home within 2 weeks.ResultsOf the 243 enrolled participants, 179 (73%) cognitively unimpaired (CU), 50 (21%) with mild cognitive impairment (MCI) or dementia, and 14 (6%) with an unknown diagnosis, 84% and 85% of them successfully completed the eCDR and eFCI, respectively, at home.DiscussionThese results show initial feasibility in developing and administering online instruments to remotely assess and monitor cognitive decline along the CU to MCI/very mild dementia continuum. Validation is an important next step.

Abstract Introduction The aim of this study was to develop a conditional normative model for Rey's Auditory Verbal Learning Test (AVLT) that accounts for practice effects. Methods In our normative sample, robust conditional norms were derived from 1001 cognitively unimpaired (CU) adults ages 50 to 89 who completed the AVLT up to eight times. Linear mixed‐effects models adjusted for baseline performance, prior test exposures, time, demographics, and interaction terms. In our preliminary validation, mean performance on conditional and typical normative scores across two to four completed follow‐up tests in preclinical Alzheimer's disease participants at baseline with positive amyloid and tau positron emission ( n = 27 CU amyloid [A]+tau[T]+) was compared to biomarker negative individuals ( n = 269 CU A–T–). Results AVLT performance using typical norms did not differ across A+T+ and A–T– groups. Conditional norms z‐scores were lower in the A+T+ relative to the A–T– group for 30‐minute recall ( P = .033) and sum of trials ( P = .030). Discussion Conditional normative methods that account for practice effects show promise for identifying longitudinal cognitive decline.

Abstract Objective Individuals with early-onset dysexecutive Alzheimer’s disease (dAD) have high rates of failed performance validity testing (PVT), which can lead to symptom misinterpretation and misdiagnosis. Method The aim of this retrospective study is to evaluate rates of failure on a common PVT, the test of memory malingering (TOMM), in a sample of clinical patients with biomarker-confirmed early-onset dAD who completed neuropsychological testing. Results We identified seventeen patients with an average age of symptom onset at 52.25 years old. Nearly fifty percent of patients performed below recommended cut-offs on Trials 1 and 2 of the TOMM. Four of six patients who completed outside neuropsychological testing were misdiagnosed with alternative etiologies to explain their symptomatology, with two of these patients’ performances deemed unreliable based on the TOMM. Conclusions Low scores on the TOMM should be interpreted in light of contextual and optimally biological information and do not necessarily rule out a neurodegenerative etiology.

AbstractIntroductionThis study established the psychometric properties and preliminary validity of the Stricker Learning Span (SLS), a novel computer adaptive word list memory test designed for remote assessment and optimized for smartphone use.MethodsWomen enrolled in the Mayo Clinic Specialized Center of Research Excellence (SCORE) were recruited via e‐mail or phone to complete two remote cognitive testing sessions. Convergent validity was assessed through correlation with previously administered in‐person neuropsychological tests (n = 96, ages 55–79) and criterion validity through associations with magnetic resonance imaging measures of neurodegeneration sensitive to Alzheimer's disease (n = 47).ResultsSLS performance significantly correlated with the Auditory Verbal Learning Test and measures of neurodegeneration (temporal meta‐regions of interest and entorhinal cortical thickness, adjusting for age and education). Test–retest reliabilities across two sessions were 0.71–0.76 (two‐way mixed intraclass correlation coefficients).DiscussionThe SLS is a valid and reliable self‐administered memory test that shows promise for remote assessment of aging and neurodegenerative disorders.

Abstract Introduction : Plasma glial fibrillary acidic protein (GFAP) may be associated with amyloid burden, neurodegeneration, and stroke but its specificity for Alzheimer's disease (AD) in the general population is unclear. We examined associations of plasma GFAP with amyloid and tau positron emission tomography (PET), cortical thickness, white matter hyperintensities (WMH), and cerebral microbleeds (CMBs). Methods : The study included 200 individuals from the Mayo Clinic Study of Aging who underwent amyloid and tau PET and magnetic resonance imaging and had plasma GFAP concurrently assayed; multiple linear regression and hurdle model analyses were used to investigate associations controlling for age and sex. Results : GFAP was associated with amyloid and tau PET in multivariable models. After adjusting for amyloid, the association with tau PET was no longer significant. GFAP was associated with cortical thickness, WMH, and lobar CMBs only among those who were amyloid‐positive. Discussion : This cross‐sectional analysis demonstrates the utility of GFAP as a plasma biomarker for AD‐related pathologies.

AbstractBackgroundMayo Test Drive (MTD): Test Development through Rapid Iteration, Validation and Expansion, is a web‐based platform for remote self‐administered assessment for novel (Stricker Learning Span; SLS) and open access (Symbols Test) cognitive measures. The SLS is a computer adaptive word‐list memory test that matches test difficulty to user performance. The SLS visually presents words for learning exposures and 4‐choice recognition to test encoding across 5 trials. Symbols is a measure of processing speed being used in many remote assessment studies and typically employs a burst design; in MTD participants complete 4 trials (12‐items each). We examine validity and reliability of the SLS and Symbols via MTD.MethodForty‐five women enrolled in an ongoing study of the Sex‐Specific Effects of Endocrine Disruption on Aging and Alzheimer’s Disease were recruited via email or phone. The Auditory Verbal Learning Test (AVLT) and Digit Symbol Coding (Coding), administered in person within the past 2 years (Mean=11 months), were used to establish construct validity. Participants (91.3% White, Mean age=66.2 years, Mean education=15.3 years) were emailed a link to complete the SLS and Symbols remotely at their convenience on their own device and emailed to repeat testing after approximately 1 week. Pearson correlations (n=45) and 2‐way mixed intraclass correlation coefficients (ICC; n=42) determined construct validity and test‐retest reliability, respectively. Significance was set at p<.05.ResultAcross all test sessions initiated, 97% were successfully completed. Most were completed at home (92.6%; vs. at work or in a public space), and device type varied (48% smartphone, 2% tablet, 50% PC). Median session completion time was 15 minutes. SLS learning scores (max span, total correct trials 1‐5) significantly correlated with AVLT 1‐5 total (r’s .37‐.39) and AVLT Trial 5 (r’s .51‐.52). SLS delay significantly correlated with AVLT delay (r=0.45) and recognition (r=0.61). Symbols time‐based scores averaged across trials were significantly correlated with Coding (r’s=‐.48‐(‐).50). Test‐retest reliabilities across 2 sessions were high for SLS (ICC’s=.80‐.88) and Symbols (ICC’s=.81‐.82).ConclusionSLS and Symbols are valid and reliable self‐administered remote tests in older females. Future work will examine effects of Alzheimer’s disease neuroimaging biomarkers and risk factors on these tests.

Background: Longitudinal, but not cross-sectional, cognitive testing is one option proposed to define transitional cognitive decline for individuals on the Alzheimer’s disease continuum. Objective: Compare diagnostic accuracy of cross-sectional subtle objective cognitive impairment (sOBJ) and longitudinal objective decline (ΔOBJ) over 30 months for identifying 1) cognitively unimpaired participants with preclinical Alzheimer’s disease defined by elevated brain amyloid and tau (A+T+) and 2) incident mild cognitive impairment (MCI) based on Cogstate One Card Learning (OCL) accuracy performance. Methods: Mayo Clinic Study of Aging cognitively unimpaired participants aged 50 + with amyloid and tau PET scans (n = 311) comprised the biomarker-defined sample. A case-control sample of participants aged 65 + remaining cognitively unimpaired for at least 30 months included 64 who subsequently developed MCI (incident MCI cases) and 184 controls, risk-set matched by age, sex, education, and visit number. sOBJ was assessed by OCL z-scores. ΔOBJ was assessed using within subjects’ standard deviation and annualized change from linear regression or linear mixed effects (LME) models. Concordance measures Area Under the ROC Curve (AUC) or C-statistic and odds ratios (OR) from conditional logistic regression models were derived. sOBJ and ΔOBJ were modeled jointly to compare methods. Results: sOBJ and ΔOBJ-LME methods differentiated A+T+ from A-T- (AUC = 0.64, 0.69) and controls from incident MCI (C-statistic = 0.59, 0.69) better than chance; other ΔOBJ methods did not. ΔOBJ-LME improved prediction of future MCI over baseline sOBJ (p = 0.003) but not over 30-month sOBJ (p = 0.09). Conclusion: Longitudinal decline did not offer substantial benefit over cross-sectional assessment in detecting preclinical Alzheimer’s disease or incident MCI.

Abstract Background: Elevated urine cortisol (&lt;1% of urinary steroid metabolome) was reported to predict future development of dementia. Our objective was to determine the association of urine steroid metabolome and its diurnal variation with cognitive function in men and women. Methods: Cross-sectional study of community-dwelling adults ≥ 50 years. Participants with adrenal disorders, end-stage renal or liver disease, on exogenous steroids or drugs affecting steroid metabolism were excluded. All participants completed day and night separate urine collection. A series of seven IPad-based tests using the National Institute of Health Toolbox Cognition Battery were administered to evaluate five key domains; performance was reported using fully corrected T-scores for age, sex, education, and race with a national normative mean of 50. T-scores were generated for the two summary measures: 1) fluid cognition (includes executive function, episodic memory, working memory, and processing speed), and 2) total composite (composite of fluid and language score). Urine samples were analyzed with the liquid-chromatography, high-resolution, accurate-mass mass spectrometry for 25 urine steroid metabolites. Results: Of 109 participants, 56 (51%) were women, and age and educational status were similar in men and women. On cognitive assessment, men and women had similar median composite cognition (T-score of 53 vs 54, p=0.74) and fluid cognition (T-score of 53 vs 51, p-value 0.96). Urine steroid metabolome analysis demonstrated 21/25 steroids were higher in men vs women. In both women and men, the ratio of total cortisol metabolites/total androgen metabolites (TCM/TAM) was associated with lower fluid cognition (women: ρ= -0.34, p=0.01, men: ρ= -0.43, p=0.001) and composite cognition (women: ρ= -0.27, p=0.04, men: ρ= -0.39, p=0.004). Higher ratio of day to night TCM were associated with a better fluid cognition in men (ρ= 0.35, p=0.01), but not in women (ρ= -0.11, p=0.41). Steroid ratios suggesting a relative enzymatic deficiency of 5α-Reductase type 2 was associated with lower fluid cognition in women (ρ= -0.29, p=0.03). In men, the fluid composite score was associated with a relative deficiency in 21-Hydroxylase (ρ= 0.42, p=0.002), 3β-Hydroxysteroid dehydrogenase (ρ= 0.43, p=0.001), and P450oxidoreductase (ρ= -0.35, p=0.01). Conclusion: We showed that a higher glucocorticoid to androgen ratio and a flattened circadian steroid variation were associated with lower global and fluid cognition score. Steroid ratios reflecting steroidogenesis enzymatic activity demonstrated sex differences in relation to cognition. Additional studies should examine whether the steroid fingerprint associated with lower cognition is predictive of a future dementia onset.

Abstract Background: Adrenal adenomas are incidentally diagnosed in 7% of adults undergoing abdominal imaging. Mild autonomous cortisol secretion is present in 50% of adrenal adenomas, and even “nonfunctioning” adrenal adenomas demonstrate abnormal steroid profile. We aimed to 1) investigate the prevalence of mental and sleep disorders in patients with adrenal adenomas and to 2) determine the risk of mental and sleep disorders after the diagnosis of adrenal adenoma in patients compared to the referent subjects from the same population Methods: Using a medical records linkage system, we identified adult patients living in the Olmsted County, MN diagnosed with an adrenal adenoma during 1995–2017. Patients with overt hormone excess were excluded. Every patient with adenoma was matched by sex and age to a referent subject from the same population. Subjects were followed until death or end of the study. Mental health related comorbidities and sleep disorders were assessed at baseline and during follow up. Results: Our cohort included 1004 patients with adrenal adenomas and 1004 referent subjects (58% women, median age of 63 years). Patients were more likely to smoke (70% vs 54%, p &lt;0.001) and had a higher BMI (30 kg/m2 vs 28 kg/m2, p &lt; 0.001). Within 5 years prior to the index date (diagnosis of adenoma), and after adjusting for BMI and smoking, patients demonstrated a higher prevalence of depression (Odds ratio, OR of 1.3 (CI95% 1.1–1.6), p=0.02), anxiety (OR of 1.4 (CI95% 1.1–1.8, p=0.003), substance abuse disorders (OR of 2.4 (CI 95% 1.7–3.4), p&lt;0.001), but not insomnia (OR of 1.2 (CI95% 0.9–1.7) and sleep related breathing disorders (OR of 1.3 (CI 95% 0.9–1.7). During follow-up, starting 1 year after the diagnosis, patients demonstrated a higher risk of new onset depression (HR of 1.9, CI95%1.5–2.4), anxiety (HR of 1.5,CI95% 1.2–1.9), schizophrenia (HR of 1.7, CI95% 1.2–2.4), and substance abuse disorders (HR of 1.6, CI95% 1.2–2.0). Risk of sleep disorders 1 year after diagnosis was also high for insomnia (HR of 1.4, CI95% 1.1–1.9), sleep-related breathing disorders (HR of 1.8, CI95% 1.4–2.3), hypersomnias of central origin (HR of 2.0, CI95%1.04–3.96), parasomnias (HR of 2.4, CI95%1.2–4.7), and sleep-related movement disorders(HR of 1.9, CI95%1.3–2.6). Conclusion: Patients with adenomas are at increased risk for mental and sleep disorders, possibly explained by the underlying subtle cortisol secretion. Further prospective studies with an in-depth characterization of both hormonal secretion and mental/sleep disorders are needed. Reversibility or improvement of mental health and sleep disorders with adrenalectomy should be investigated.