Identifying Long-Term Morbidities and Health Trajectories After Prolonged Mechanical Ventilation in Children Using State All Payer Claims Data.

ABSTRACT:

Objectives

To identify postdischarge outcome phenotypes and risk factors for poor outcomes using insurance claims data.

Design

Retrospective cohort study.

Setting

Single quaternary center.

Patients

Children without preexisting tracheostomy who required greater than or equal to 3 days of invasive mechanical ventilation, survived the hospitalization, and had postdischarge insurance eligibility in Colorado's All Payer Claims Database.

Interventions

None.

Measurements and main results

We used unsupervised machine learning to identify functional outcome phenotypes based on claims data representative of postdischarge morbidities. We assessed health trajectory by comparing change in the number of insurance claims between quarters 1 and 4 of the postdisch

SUBMITTER: Maddux AB 

PROVIDER: S-EPMC9058185 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature