A Clinical Model to Predict the Occurrence of Select High-risk Infections in the First Year Following Heart Transplantation.

ABSTRACT:

Background

Invasive infection remains a dangerous complication of heart transplantation (HT). No objectively defined set of clinical risk factors has been established to reliably predict infection in HT. The aim of this study was to develop a clinical prediction model for use at 1 mo post-HT to predict serious infection by 1 y.

Methods

A retrospective cohort study of HT recipients (2000-2018) was performed. The composite endpoint included cytomegalovirus (CMV), herpes simplex or varicella zoster virus infection, blood stream infection, invasive fungal, or nocardial infection occurring 1 mo to 1 y post-HT. A least absolute shrinkage and selection operator regression model was constructed using 10 candidate variables. A concordance statistic, calibration curve, and mean calibr

SUBMITTER: Perry WA 

PROVIDER: S-EPMC10624471 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature