Machine learning prediction for COVID-19 disease severity at hospital admission.

Importance: Early prognostication of patients hospitalized with COVID-19 who may require mechanical ventilation and have worse outcomes within 30 days of admission is useful for delivering appropriate clinical care and optimizing resource allocation.

Objective: To develop machine learning models to predict COVID-19 severity at the time of the hospital admission based on a single institution data.

Design, Setting, And Participants: We established a retrospective cohort of patients with COVID-19 from University of Texas Southwestern Medical Center from May 2020 to March 2022.

Trends in utilization of deceased donor kidneys based on hepatitis C virus status and impact of public health service labeling on discard.

Background: Kidneys from deceased donors infected with hepatitis C virus (HCV) are underutilized. Most HCV virus-infected donors are designated as Public Health Service increased donors (PHS-IR). Impact of PHS and HCV designations on discard is not well studied.