SALAD-BAAR: A numerical risk score for hospital admission or emergency department presentation in ambulatory patients with cardiovascular disease.

ABSTRACT:

Background

While many interventions to reduce hospital admissions and emergency department (ED) visits for patients with cardiovascular disease have been developed, identifying ambulatory cardiac patients at high risk for admission can be challenging.

Hypothesis

A computational model based on readily accessible clinical data can identify patients at risk for admission.

Methods

Electronic health record (EHR) data from a tertiary referral center were used to generate decision tree and logistic regression models. International Classification of Disease (ICD) codes, labs, admissions, medications, vital signs, and socioenvironmental variables were used to model risk for ED presentation or hospital admission within 90 days following a cardiology clinic visit. Model training

SUBMITTER: Anyanwu EC 

PROVIDER: S-EPMC7852175 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature