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Dataset Information

AORI-HAP: a multidimensional risk index to predict in-hospital adverse outcomes in asthma exacerbations.


ABSTRACT:

Background

Despite therapeutic advancements, asthma exacerbations (AEs) remain a major clinical challenge, with immune-inflammatory patterns incompletely characterized. Current guidelines lack robust multidimensional tools for predicting in-hospital adverse outcomes.

Objective

To develop and validate the Asthma Outcome Risk Index for Hospitalized Patients (AORI-HAP), integrating multidimensional predictors, and investigate immune-inflammatory mechanisms underlying adverse outcomes.

Methods

This real-world cohort study enrolled hospitalized AE patients. Univariate analyses identified associations between multidimensional biomarkers and composite outcome (death, ICU admission, invasive ventilation). LASSO logistic regression derived the AORI-HAP, stratifying patients in

SUBMITTER: Yuan L 

PROVIDER: S-EPMC12727603 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature