
A Real-time Risk-Prediction Model for Pediatric Venous Thromboembolic Events
Author(s) -
Shan C. Walker,
C. Buddy Creech,
Henry J. Domenico,
Benjamin French,
Daniel W. Byrne,
Allison P. Wheeler
Publication year - 2021
Publication title -
pediatrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.611
H-Index - 345
eISSN - 1098-4275
pISSN - 0031-4005
DOI - 10.1542/peds.2020-042325
Subject(s) - medicine , cohort , concordance , confidence interval , logistic regression , retrospective cohort study , odds ratio , statistic , cohort study , medical record , pediatrics , emergency medicine , statistics , mathematics
Hospital-associated venous thromboembolism (HA-VTE) is an increasing cause of morbidity in pediatric populations, yet identification of high-risk patients remains challenging. General pediatric models have been derived from case-control studies, but few have been validated. We developed and validated a predictive model for pediatric HA-VTE using a large, retrospective cohort.