Association of Systemic Lupus Erythematosus Disease Activity With Choroidal Thickness.

OBJECTIVE: To determine the association between disease activity and choroidal thickness in patients with systemic lupus erythematosus (SLE). METHODS: We conducted a cohort study of 24 SLE patients and 13 healthy controls recruited at Washington University School of Medicine between June 2019 and November 2021. SLE disease activity was assessed using the SLE Disease Activity Index-2000 Responder Index-50 (S2K RI-50). Patients were divided into four groups: high disease activity/no lupus nephritis (HDA/no LN; S2K RI-50 > 4), HDA/active LN (HDA/active LN; S2K RI-50 > 4), low disease activity/inactive LN (LDA/inactive LN; S2K RI-50 ≤ 4), and LDA/no LN (LDA/no LN; S2K RI-50 ≤ 4). LDA/no LN patients were age-, sex-, and race-matched to healthy controls and patients in other SLE groups. Choroidal thickness of the right eye was measured blinded to disease activity on a horizontal section through the fovea on optical coherence tomography images taken within a week of disease assessment. RESULTS: Patients with HDA had choroidal thickening compared with matched patients with LDA. After controlling for multiplicity, choroidal thinning remained statistically significant at 1000 µm nasal to the fovea (308 ± 68 vs 228 ± 64 µm, p = 0.001). Choroidal thickness was not different between LDA/no LN and LDA/inactive LN or healthy controls. CONCLUSION: HDA in patient with SLE is associated with increased choroidal thickness whereas comorbid inactive LN did not affect choroidal thickness. Additional studies in a larger longitudinal cohort are needed to study whether choroidal thickness may be used as a noninvasive, adjunctive measure for disease activity in SLE.

Preclinical Alzheimer's disease biomarkers accurately predict cognitive and neuropathological outcomes.

Alzheimer's disease biomarkers are widely accepted as surrogate markers of underlying neuropathological changes. However, few studies have evaluated whether preclinical Alzheimer's disease biomarkers predict Alzheimer's neuropathology at autopsy. We sought to determine whether amyloid PET imaging or CSF biomarkers accurately predict cognitive outcomes and Alzheimer's disease neuropathological findings. This study included 720 participants, 42-91 years of age, who were enrolled in longitudinal studies of memory and aging in the Washington University Knight Alzheimer Disease Research Center and were cognitively normal at baseline, underwent amyloid PET imaging and/or CSF collection within 1 year of baseline clinical assessment, and had subsequent clinical follow-up. Cognitive status was assessed longitudinally by Clinical Dementia Rating®. Biomarker status was assessed using predefined cut-offs for amyloid PET imaging or CSF p-tau181/amyloid-ß42. Subsequently, 57 participants died and underwent neuropathologic examination. Alzheimer's disease neuropathological changes were assessed using standard criteria. We assessed the predictive value of Alzheimer's disease biomarker status on progression to cognitive impairment and for presence of Alzheimer's disease neuropathological changes. Among cognitively normal participants with positive biomarkers, 34.4% developed cognitive impairment (Clinical Dementia Rating > 0) as compared to 8.4% of those with negative biomarkers. Cox proportional hazards modelling indicated that preclinical Alzheimer's disease biomarker status, APOE ɛ4 carrier status, polygenic risk score and centred age influenced risk of developing cognitive impairment. Among autopsied participants, 90.9% of biomarker-positive participants and 8.6% of biomarker-negative participants had Alzheimer's disease neuropathological changes. Sensitivity was 87.0%, specificity 94.1%, positive predictive value 90.9% and negative predictive value 91.4% for detection of Alzheimer's disease neuropathological changes by preclinical biomarkers. Single CSF and amyloid PET baseline biomarkers were also predictive of Alzheimer's disease neuropathological changes, as well as Thal phase and Braak stage of pathology at autopsy. Biomarker-negative participants who developed cognitive impairment were more likely to exhibit non-Alzheimer's disease pathology at autopsy. The detection of preclinical Alzheimer's disease biomarkers is strongly predictive of future cognitive impairment and accurately predicts presence of Alzheimer's disease neuropathology at autopsy.

Perceptions of Research Burden and Retention Among Participants in ADRC Cohorts.

OBJECTIVES: Alzheimer disease (AD) and related dementias clinical research is associated with significant participant burden. The Perceived Research Burden Assessment (PeRBA) measures participants' perceptions of logistical, psychological, and physical burdens. The purpose of this study was to assess PeRBA's psychometric properties, perceptual sources, and behavioral consequences with participants in a multisite study of participant retention in longitudinal cohort studies of Alzheimer disease and related dementias. DESIGN: Multicenter mixed methods. SETTING: In-person or phone. PARTICIPANTS: A total of 443 participants at 4 NIA-funded Alzheimer Disease Research Centers (ADRCs) were randomly selected and invited to participate if they were 45 years of age or more, enrolled in longitudinal studies, and had a Clinical Dementia Rating Scale global score ≤1. MEASUREMENTS: Participants completed a 20-minute survey including the 21-item PeRBA about their research participation. RESULTS: PeRBA demonstrated high-internal consistency and convergent validity. PeRBA scores correlated with expected perceptual factors. Higher PeRBA scores were associated with lower attendance and higher dropout rates. CONCLUSIONS: PeRBA can be used by researchers to identify participants who may feel overburdened and tailor approaches and strategies to support participants in longitudinal AD studies, maximizing participation, and reducing dropout. Making efforts to increase participants' understanding of study procedures, and building and maintaining trust throughout the study, can contribute to reducing perceived burden and potentially increasing retention in longitudinal AD studies.

Inclusion of Thyroid Nodule Location in American College of Radiology TI-RADS Scoring: Impact on System Performance.

Emerging data suggest that the location of thyroid nodules influences malignancy risk. The purpose of this study was to explore the impact of including location in American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) scoring. Four of five revised scoring algorithms that added 1 or 2 points to higher-risk locations were associated with lowered accuracy due to lower specificity. However, an algorithm that added 1 point to isthmic nodules did not differ significantly from ACR TI-RADS in accuracy; one additional isthmic cancer was diagnosed for each 10.3 additional benign nodules recommended for biopsy.

Comparative Performance and Neuropathologic Validation of the AD8 Dementia Screening Instrument.

BACKGROUND/OBJECTIVE: The AD8 informant-based screening instrument has been validated with molecular biomarkers of Alzheimer disease (AD) but not with the gold standard of neuropathologic AD. The objective of this study was to validate the AD8 with neuropathologic AD and compare its predictive performance with that of the Mini-Mental State Examination and both participant-derived and informant-derived subjective memory complaint (SMC) regarding the participant. METHODS: This longitudinal cohort study at the Knight Alzheimer Disease Research Center at Washington University included 230 participants, ages 50 to 91 years, who later had a neuropathologic examination. Four dementia screening instruments from their baseline assessment were evaluated: the AD8, Mini-Mental State Examination, participant SMC, and informant SMC. The primary outcome was a neuropathologic diagnosis of AD. RESULTS: The average participant age at baseline was 80.4 years, 48% were female. All 4 dementia screening tests were predictive of neuropathologic AD. There was no significant difference in the predictive performance of the AD8 compared with the other instruments, but the AD8 had superior sensitivity and combined positive and negative predictive values. CONCLUSION: The AD8 is a brief and sensitive screening instrument that may facilitate earlier and more accurate AD diagnosis in a variety of care settings.

Retention of Study Partners in Longitudinal Studies of Alzheimer Disease.

BACKGROUND: Study partners are required for all participants at Alzheimer's Disease Research Centers (ADRCs). Study partners' attitudes and beliefs may contribute to missed visits and negatively impact retention of participants in longitudinal AD studies. OBJECTIVE: Study partners (N = 212) of participants (Clinical Dementia Rating® [CDR]≤2) at four ADRCs were randomly surveyed to examine their facilitators and barriers to continued participation in AD studies. METHODS: Reasons for participation were analyzed with factor analysis and regression analysis. Effects of complaints and goal fulfillment on attendance were estimated with fractional logistic models. Open-ended responses were characterized with a Latent Dirichlet Allocation topic model. RESULTS: Study partners participated for personal benefit and altruism. They emphasized personal benefits more when their participants had a CDR > 0 than when they had a CDR = 0. This difference declined with participant age. The majority of study partners rated their ADRC participation as positive and meeting their goals. Although half reported at least one complaint, very few regretted participating. Those who reported that ADRC participation fulfilled their goals or had fewer complaints were more likely to have perfect attendance. Study partners requested more feedback about test results and better management of study visits. CONCLUSION: Study partners are motivated by both personal and altruistic goals. The salience of each goal depends on their trust in researchers and the participant's cognitive status and age. Retention may improve with perceived goal fulfillment and fewer complaints. Potential areas for improving retention are providing more information about the participant's test results and better management of study visits.

Retaining Participants in Longitudinal Studies of Alzheimer's Disease.

BACKGROUND: Retention of study participants is essential to advancing Alzheimer's disease (AD) research and developing therapeutic interventions. However, recent multi-year AD studies have lost 10% to 54% of participants. OBJECTIVE: We surveyed a random sample of 443 participants (Clinical Dementia Rating [CDR]≤1) at four Alzheimer Disease Research Centers to elucidate perceived facilitators and barriers to continued participation in longitudinal AD research. METHODS: Reasons for participation were characterized with factor analysis. Effects of perceived fulfillment of one's own goals and complaints on attendance and likelihood of dropout were estimated with logistic regression models. Open-ended responses suggesting study improvements were analyzed with a Latent Dirichlet Allocation topic model. RESULTS: Factor analyses revealed two categories, personal benefit and altruism, as drivers of continued participation. Participants with cognitive impairment (CDR > 0) emphasized personal benefits more than societal benefits. Participants with higher trust in medical researchers were more likely to emphasize broader social benefits. A minority endorsed any complaints. Higher perceived fulfillment of one's own goals and fewer complaints were related to higher attendance and lower likelihood of dropout. Facilitators included access to medical center support and/or future treatment, learning about AD and memory concerns, and enjoying time with staff. Participants' suggestions emphasized more feedback about individual test results and AD research. CONCLUSION: The results confirmed previously identified facilitators and barriers. Two new areas, improved communication about individual test results and greater feedback about AD research, emerged as the primary factors to improve participation.

Ante- and postmortem tau in autosomal dominant and late-onset Alzheimer's disease.

Antemortem tau positron emission tomography imaging suggests elevated tau pathology in autosomal dominant versus late-onset Alzheimer's disease at equivalent clinical stages, but does not implicate the specific tau pathologies responsible. Here we made stereological measurements of tau neurofibrillary tangles, neuritic plaques, and neuropil threads and found compared to late-onset Alzheimer's disease, autosomal dominant Alzheimer's disease showed even greater tangle and thread burdens. Regional tau burden resembled that observed in tau imaging of a separate cohort at earlier clinical stages. Finally, our results suggest tau imaging measures total tau burden in Alzheimer's disease, composed predominantly of tangle and thread pathology.

Prevalence, management, and outcome of problem residents among neurosurgical training programs in the United States.

OBJECTIVE: The challenging nature of neurosurgical residency necessitates that appropriate measures are taken by training programs to ensure that residents are properly progressing through their education. Residents who display a pattern of performance deficiencies must be identified and promptly addressed by faculty and program directors to ensure that resident training and patient care are not affected. While studies have been conducted to characterize these so-called "problem residents" in other specialties, no current data regarding the prevalence and management of such residents in neurosurgery exist. The purpose of this study was to determine the rate and the outcome of problem residents in US neurosurgical residency programs and identify predictive risk factors that portend a resident's departure from the program. METHODS: An anonymous nationwide survey was sent to all 108 neurosurgical training programs in the US to assess a 20-year history of overall attrition as well as the management course of problem residents, including the specific deficiencies of the resident, management strategies used by faculty, and the eventual outcome of each resident's training. RESULTS: Responses were received from 36 centers covering a total of 1573 residents, with the programs providing a mean 17.4 years' worth of data (95% CI 15.3-19.4 years). The mean prevalence of problem residents among training programs was 18.1% (95% CI 14.7%-21.6%). The most common deficiencies recognized by program directors were poor communication skills (59.9%), inefficiency in tasks (40.1%), and poor fund of medical knowledge (39.1%). The most common forms of program intervention were additional meetings to provide detailed feedback (93.9%), verbal warnings (78.7%), and formal written remediation plans (61.4%). Of the identified problem residents whose training status is known, 50% graduated or are on track to graduate, while the remaining 50% ultimately left their residency program for other endeavors. Of the 97 residents who departed their programs, 65% left voluntarily (most commonly for another specialty), and 35% were terminated (often ultimately training in another neurosurgery program). On multivariable logistic regression analysis, the following 3 factors were independently associated with departure of a problem resident from their residency program: dishonesty (OR 3.23, 95% CI 1.67-6.253), poor fund of medical knowledge (OR 2.54, 95% CI 1.47-4.40), and poor technical skill (OR 2.37, 95% CI 1.37-4.12). CONCLUSIONS: The authors' findings represent the first study to characterize the nature of problem residents within neurosurgery. Identification of predictive risk factors, such as dishonesty, poor medical knowledge, and/or technical skill, may enable program directors to preemptively act and address such deficiencies in residents before departure from the program occurs. As half of the problem residents departed their programs, there remains an unmet need for further research regarding effective remediation strategies.

A survival model for unthinned loblolly pine plantations that incorporates non-planted tree competition, site quality, and incidence of fusiform rust.

Future biomass yields are functionally related to the number of trees surviving at a given age. A stand level survival model was developed that incorporates competition of non-planted trees, site quality, and the incidence of fusiform rust (Cronartium quercuum [Berk.] Miyabe ex Shirai f. sp. fusiforme). The model consists of a system of two equations, one of which represents the number of surviving trees infected by fusiform rust while the other represents the number of trees not infected by fusiform rust. Data from unthinned loblolly pine (Pinus taeda L.) plantations in East Texas were used to fit and evaluate the survival model and illustrate its use. The model successfully predicted that the number of surviving loblolly pine trees decreased as the number of non-planted trees increased. The model also successfully predicted the transition of loblolly pine trees from an uninfected to an infected status by fusiform rust.