Associations Between Self and Study Partner Report of Cognitive Decline With Regional Tau in a Multicohort Study.

BACKGROUND AND OBJECTIVES: Self-reported cognitive decline is an early behavioral manifestation of Alzheimer disease (AD) at the preclinical stage, often believed to precede concerns reported by a study partner. Previous work shows cross-sectional associations with ß-amyloid (Aß) status and self-reported and study partner-reported cognitive decline, but less is known about their associations with tau deposition, particularly among those with preclinical AD. METHODS: This cross-sectional study included participants from the Anti-Amyloid Treatment in Asymptomatic AD/Longitudinal Evaluation of Amyloid Risk and Neurodegeneration studies (N = 444) and the Harvard Aging Brain Study and affiliated studies (N = 231), which resulted in a cognitively unimpaired (CU) sample of individuals with both nonelevated (Aß-) and elevated Aß (Aß+). All participants and study partners completed the Cognitive Function Index (CFI). Two regional tau composites were derived by averaging flortaucipir PET uptake in the medial temporal lobe (MTL) and neocortex (NEO). Global Aß PET was measured in Centiloids (CLs) with Aß+ >26 CL. We conducted multiple linear regression analyses to test associations between tau PET and CFI, covarying for amyloid, age, sex, education, and cohort. We also controlled for objective cognitive performance, measured using the Preclinical Alzheimer Cognitive Composite (PACC). RESULTS: Across 675 CU participants (age = 72.3 ± 6.6 years, female = 59%, Aß+ = 60%), greater tau was associated with greater self-CFI (MTL: ß = 0.28 [0.12, 0.44], p < 0.001, and NEO: ß = 0.26 [0.09, 0.42], p = 0.002) and study partner CFI (MTL: ß = 0.28 [0.14, 0.41], p < 0.001, and NEO: ß = 0.31 [0.17, 0.44], p < 0.001). Significant associations between both CFI measures and MTL/NEO tau PET were driven by Aß+. Continuous Aß showed an independent effect on CFI in addition to MTL and NEO tau for both self-CFI and study partner CFI. Self-CFI (ß = 0.01 [0.001, 0.02], p = 0.03), study partner CFI (ß = 0.01 [0.003, 0.02], p = 0.01), and the PACC (ß = -0.02 [-0.03, -0.01], p < 0.001) were independently associated with MTL tau, but for NEO tau, PACC (ß = -0.02 [-0.03, -0.01], p < 0.001) and study partner report (ß = 0.01 [0.004, 0.02], p = 0.002) were associated, but not self-CFI (ß = 0.01 [-0.001, 0.02], p = 0.10). DISCUSSION: Both self-report and study partner report showed associations with tau in addition to Aß. Additionally, self-report and study partner report were associated with tau above and beyond performance on a neuropsychological composite. Stratification analyses by Aß status indicate that associations between self-reported and study partner-reported cognitive concerns with regional tau are driven by those at the preclinical stage of AD, suggesting that both are useful to collect on the early AD continuum.

Deep learning for risk-based stratification of cognitively impaired individuals.

Quantifying the risk of progression to Alzheimer's disease (AD) could help identify persons who could benefit from early interventions. We used data from the Alzheimer's Disease Neuroimaging Initiative (ADNI, n = 544, discovery cohort) and the National Alzheimer's Coordinating Center (NACC, n = 508, validation cohort), subdividing individuals with mild cognitive impairment (MCI) into risk groups based on cerebrospinal fluid amyloid-ß levels and identifying differential gray matter patterns. We then created models that fused neural networks with survival analysis, trained using non-parcellated T1-weighted brain MRIs from ADNI data, to predict the trajectories of MCI to AD conversion within the NACC cohort (integrated Brier score: 0.192 [discovery], and 0.108 [validation]). Using modern interpretability techniques, we verified that regions important for model prediction are classically associated with AD. We confirmed AD diagnosis labels using postmortem data. We conclude that our framework provides a strategy for risk-based stratification of individuals with MCI and for identifying regions key for disease prognosis.

Men surgeons' perceptions of women surgeons: is there a bias against women in surgery?

BACKGROUND: Surgery has long been a man-dominated discipline with gender roles traditionally defined along societal norms. Presumably, as society has evolved, so have men surgeons' perceptions of women surgeons, though data are lacking. This study was undertaken to determine if men surgeons' perceptions of women surgeons represent a bias against women in Surgery. METHODS: 190 men surgeons were queried about attitudes toward women surgeons utilizing a validated questionnaire. The survey included binary, multiple choice, and Likert scale questions (1 = definitely disagree to 5 = definitely agree). RESULTS: 84% of the men surgeons have been attending surgeons for more than 5 years; 80% deem women surgeons as capable as their man colleagues. 80% of respondents consider it possible for a woman to be a good surgeon, mother, and spouse; however, 76% believe women surgeons experience more pressure to balance work and family. 75% of the men surgeons think women surgeons have the same advancement opportunities as men, though 30% believe gender discrimination exists in Surgery. 45% of the respondents consider the "surgical discipline" accountable for fewer women finishing training, yet 57% think the rate of women entering Surgery is not a problem to address. CONCLUSION: While most men surgeons have favorable opinions of the personal and professional abilities of women surgeons, favorable opinions are not universal; a bias against women persists in Surgery. Considering most medical students today are women, the discipline of Surgery dismisses this talent pool only to its detriment. Surgery, and men in Surgery specifically, must evolve to eliminate bias against women in Surgery, promoting an equitable and inclusive work environment for the betterment of Surgery and all its stakeholders, including patients.

THE Big Deal: An Institution's Experience with Robotic Transhiatal Esophagectomy.

As minimally invasive operations evolve, it is imperative to evaluate the advantages and risks involved. The aim of our study was to evaluate our institution's experience in incorporating a robotic platform for transhiatal esophagectomy (THE). Patients undergoing robotic THE were prospectively followed. Data are presented as median (mean ± SD). Forty-five patients were of 67 (67 ± 6.9) years and BMI 26 (27 ± 5.5) kg/m². Nine per cent of operations were converted to "open," but none in the last 25 operations. Operative duration of robotic THE was 334 (364 ± 108.8) minutes and estimated blood loss was 200 (217 ± 144.0) mL, which decreased with time (P = 0.017). Length of stay was 8 (12 ± 11.1) days. Twenty per cent had respiratory failure requiring intubation that resolved, 4 per cent developed pneumonia, 11 per cent developed a surgical site infection, 2 per cent developed renal insufficiency, and 2 per cent developed a UTI. Two per cent (one patient) died within 30 days postoperatively, because of cardiac arrest. Our experience with robotic THE promotes robotic application because we endeavor to achieve high-level proficiency. With experience, we improved estimated blood loss and converted fewer transhiatal esophagectomies to "open." Our length of hospital stay seems long but reflects the ill-health of patients, as does the variety of complications. Our data support the evolving future of THE, which will integrally include a robotic approach.