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Dataset Information

Development and External Validation of Models to Predict Persistent Hypoxemic Respiratory Failure for Clinical Trial Enrichment.


ABSTRACT:

Objectives

Improving the efficiency of clinical trials in acute hypoxemic respiratory failure (HRF) depends on enrichment strategies that minimize enrollment of patients who quickly resolve with existing care and focus on patients at high risk for persistent HRF. We aimed to develop parsimonious models predicting risk of persistent HRF using routine data from ICU admission and select research immune biomarkers.

Design

Prospective cohorts for derivation ( n = 630) and external validation ( n = 511).

Setting

Medical and surgical ICUs at two U.S. medical centers.

Patients

Adults with acute HRF defined as new invasive mechanical ventilation (IMV) and hypoxemia on the first calendar day after ICU admission.

Interventions

None.

Measurements and main results

SUBMITTER: Sathe NA 

PROVIDER: S-EPMC11018468 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature