Evidence map›Paper›PMID 41451079›Full record

ArticleFrontiers in medicine2025

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

Lishan Yuan, Chongyang Zhao, Lei Wang, Li Zhang, Ying Liu, Lei Liu, Min Feng, Erik Melén, Gang Wang, Shuwen Zhang and 5 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Lishan Yuan *Division of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.
Chongyang Zhao *Department of Evidence-based Medicine and Clinical Epidemiology, West China Hospital, Sichuan University, Chengdu, China.
Lei Wang *Division of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.
Li ZhangDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.
Ying LiuDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.
Lei LiuDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.
Min FengSchool of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia.
Erik MelénDepartment of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden.
Gang WangDepartment of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden.
Shuwen ZhangDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yulai YuanThe Department of Respirology of the Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, China.
Qin WangDepartment of Evidence-based Medicine and Clinical Epidemiology, West China Hospital, Sichuan University, Chengdu, China.
Yilai LiDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.
Deying KangDepartment of Evidence-based Medicine and Clinical Epidemiology, West China Hospital, Sichuan University, Chengdu, China.
Xin ZhangDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 into risk categories. Mediation analysis elucidated mechanistic contributions to adverse outcomes. Results: The AORI-HAP identified five independent predictors of adverse outcomes: elevated neutrophil-to-lymphocyte ratio (NLR > 8.3, OR = 9.26, Conclusion: AORI-HAP facilitates early risk stratification at admission and personalized management in hospitalized asthma patients. NLR's mediating role underscores its utility as a predictive biomarker and potential therapeutic target.

Indexed as

AORI-HAPasthma exacerbationsimmune-inflammatory mechanismsmultidimensional risk assessmentpredictive scoring system

Identifiers

PMID41451079
PMCPMC12727603

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