Publications by authors named "Y Young-Xu"

Background: Influenza may contribute to coronary/cerebrovascular events and exacerbate underlying conditions.

Methods: We used self-controlled case series (SCCS) design to analyze data from US Veterans ≥18 years with coronary/cerebrovascular or exacerbation event +/-1 year of lab-confirmed influenza (LCI) during 2010-2018. We estimated the incidence ratio (IR) (95% CI) of the event for risk interval (Days 1-7 post-LCI) versus control interval (all other times +/-1 year of LCI) with fixed-effects conditional Poisson regression.

View Article and Find Full Text PDF

Background: The US Department of Veterans Affairs (VA) enterprise approach to research (VA Research) has built a data-sharing framework available to all research teams within VA. Combined with robust analytic systems and tools available for investigators, VA Research has produced actionable results during the COVID-19 pandemic. Big data science techniques applied to VA's health care data demonstrate that medical research can be performed quickly and judiciously during nationwide health care emergencies.

View Article and Find Full Text PDF

Design: Retrospective cohort study.

Objective: We sought to examine whether disruptions in follow-up intervals contributed to hypertension control.

Background: Disruptions in health care were widespread during the coronavirus disease 2019 pandemic.

View Article and Find Full Text PDF

Background: The real-world clinical effectiveness of sotrovimab in preventing coronavirus disease 2019 (COVID-19)-related hospitalization or mortality among high-risk patients diagnosed with COVID-19, particularly after the emergence of the Omicron variant, needs further research.

Method: Using data from the US Department of Veterans Affairs (VA) health care system, we adopted a target trial emulation design in our study. Veterans aged ≥18 years, diagnosed with COVID-19 between December 1, 2021, and April 4, 2022, were included.

View Article and Find Full Text PDF