Clinical Manifestations.

Background: More than 2/3 of Alzheimer's Disease (AD) patients are women, which has led to increased interest in the neurophysiological impact of estrogen decline during menopause. While early evidence suggested that hormone replacement therapy (HRT) may be protective against dementia, more recent studies have found inconclusive or even harmful effects.

Method: We tested the association between HRT use (estrogen or estrogen + progestin) and AD-related neuropathological outcomes measured on autopsy data in females from the National Alzheimer's Coordinating Center (NACC) (N = 3423).

Return to Sport After ACL Reconstruction With Meniscal Allograft Transplantation Versus Isolated ACL Reconstruction: A Matched-Cohort Study.

Background: Meniscal allograft transplantation (MAT) is indicated in the setting of anterior cruciate ligament (ACL) reconstruction to restore proper arthrokinematics and load distribution for the meniscus-deficient knee. Objective outcomes after ACL reconstruction with concomitant MAT in athletic populations are scarcely reported and highly variable.

Purpose: To compare patient outcomes using an objective functional performance battery, self-reported outcome measures, and return-to-sport rates between individuals undergoing ACL reconstruction with concomitant MAT and a matched group undergoing isolated ACL reconstruction.

Sustained Vascular Inflammatory Effects of SARS-CoV-2 Spike Protein on Human Endothelial Cells.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been associated with systemic inflammation and vascular injury, which contribute to the development of acute respiratory syndrome (ARDS) and the mortality of COVID-19 infection. Moreover, multiorgan complications due to persistent endothelial dysfunction have been suspected as the cause of post-acute sequelae of SARS-CoV-2 infection. Therefore, elucidation of the vascular inflammatory effect of SARS-CoV-2 will increase our understanding of how endothelial cells (ECs) contribute to the short- and long-term consequences of SARS-CoV-2 infection.

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.

Thrombosis, Translational Medicine, and Biomarker Research: Moving the Needle.

Arterial and venous thromboembolism are leading causes of morbidity and death worldwide. Despite significant advances in the diagnosis, prognostication, and treatment of thrombotic diseases over the past 3 decades, the adoption of findings stemming from translational biomarker research in clinical practice remains limited. Biomarkers provide an opportunity to enhance our understanding of pathophysiological processes and optimize treatment strategies.