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Sex-specific DNA methylation marks associated with sex-biased risk of recurrence in unprovoked venous thromboembolism.

J Thromb Haemost

January 2025

Dalla Lana School of Public Health, University of Toronto, Toronto, Canada; Office of the Vice-Principal of Research and Innovation, University of Toronto Mississauga, Mississauga, Canada. Electronic address:

Background: Whether to stop oral anticoagulants after a first unprovoked venous thromboembolism (VTE) is challenging, partially due to an intriguingly higher risk of VTE recurrence (rVTE) in men after therapy discontinuation. DNA methylation (DNAm) differences between men and women might underly this sex-biased rVTE risk difference.

Aim: To investigate sex-specific associations between DNAm at cytosine-phosphate-guanine (CpG) sites and rVTE.

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Methods: We retrospectively studied a consecutive cohort of cirrhosis patients non-electively admitted to our medical unit to determine the rates of symptomatic VTE during hospitalization. Firstly, we explored associations with baseline, clinical and laboratory characteristics using logistic regression.

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Objective: To investigate whether tangential versus segmental portomesenteric venous resection (PVR) impacts surgical and oncological outcome in patients undergoing pancreatoduodenectomy for pancreatic cancer with portomesenteric vein (PMV) involvement.

Summary Background Data: Current comparative studies on tangential versus segmental PVR as part of pancreatoduodenectomy for pancreatic cancer include all degrees of PMV involvement, including cases where tangential PVR may not be a feasible approach, limiting the clinical applicability.

Methods: International retrospective study in 10 centers from 5 countries, including all consecutive patients after pancreatoduodenectomy with PVR for pancreatic cancer with ≤180° PMV involvement on cross-sectional imaging at diagnosis (2014-2020).

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Background: This study aimed to validate the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) risk calculator for predicting outcomes in patients undergoing abdominoplasty after massive weight loss.

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