Generalization in Clinical Prediction Models: The Blessing and Curse of Measurement Indicator Variables.

ABSTRACT:

Objective

Specific factors affecting generalizability of clinical prediction models are poorly understood. Our main objective was to investigate how measurement indicator variables affect external validity in clinical prediction models for predicting onset of vasopressor therapy.

Design

We fit logistic regressions on retrospective cohorts to predict vasopressor onset using two classes of variables: seemingly objective clinical variables (vital signs and laboratory measurements) and more subjective variables denoting recency of measurements.

Setting

Three cohorts from two tertiary-care academic hospitals in geographically distinct regions, spanning general inpatient and critical care settings.

Patients

Each cohort consisted of adult patients (age greater than or

SUBMITTER: Futoma J 

PROVIDER: S-EPMC8238368 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature