A Real-time Risk-Prediction Model for Pediatric Venous Thromboembolic Events.

ABSTRACT:

Background

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.

Methods

The derivation cohort included 111 352 admissions to Monroe Carell Jr. Children's Hospital at Vanderbilt. Potential variables were identified a priori, and corresponding data were extracted. Logistic regression was used to estimate the association of potential risk factors with development of HA-VTE. Variable inclusion in the model was based on univariate analysis, availability in rou

SUBMITTER: Walker SC 

PROVIDER: S-EPMC8168609 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature