Evidence map›Paper›PMID 40421318›Full record

Observational studyInternational journal of chronic obstructive pulmonary disease2025

Characterizing ECOPD Phenotypes: Associations with In-Hospital Outcomes and Immunoinflammatory Mechanisms.

Qin Wang, Lei Wang, Li Zhang, Chongyang Zhao, Ying Liu, Lei Liu, Lishan Yuan, Min Feng, Gang Wang, Li Li and 4 more

Abstract readObservational Study
In one paragraph

Observational study in International journal of chronic obstructive pulmonary disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Qin Wang *Department of Evidence-Based Medicine and Clinical Epidemiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Lei Wang *Division of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Li ZhangDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Chongyang ZhaoDepartment of Evidence-Based Medicine and Clinical Epidemiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Ying LiuDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Lei LiuDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Lishan YuanDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Min FengSchool of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, Australia.
Gang WangDepartment of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden.
Li LiDepartment of Evidence-Based Medicine and Clinical Epidemiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Shuwen ZhangDepartment of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China.
Yulai YuanThe Department of Respirology of the Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, People's Republic of China.
Deying KangDepartment of Evidence-Based Medicine and Clinical Epidemiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.ORCID 0000-0003-1488-7047
Xin ZhangDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, People's Republic of China.ORCID 0000-0002-7357-3788

Funding

1.3.5 project for disciplines of excellence-Clinical Research FundChina Postdoctoral Science Foundation 2022M722294National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University Z20192005National Natural Science Foundation of China 82100032National Natural Science Foundation of China 82200037National Natural Science Foundation of China 82300036Post-Doctor Research Project, West China Hospital, Sichuan University 2023HXBH093Science and Technology Foundation of Sichuan Province 2022NSFSC1278West China Hospital, Sichuan University 2023HXFH045West China Hospital, Sichuan University ZYGD23002
6 · The paper itself

Abstract

Background: Hospitalization due to exacerbations of chronic obstructive pulmonary disease (ECOPD) is linked to substantial mortality rates. Objective: This study aimed to identify the clinical and inflammatory phenotypes of patients with ECOPD, as well as to examine their associations with in-hospital outcomes. We sought to explore the underlying mechanisms that contribute to the relationship between ECOPD phenotypes and these outcomes. Methods: A k-means cluster analysis was conducted on 20,890 recruited patients hospitalized for ECOPD. Logistic regression analyses were utilized to evaluate the associations between the identified phenotypes and in-hospital outcomes, such as mortality, invasive mechanical ventilation (IMV), and intensive care unit (ICU) admission. Additionally, a mediation analysis was performed to elucidate the immunoinflammatory mechanisms underlying the relationship between ECOPD phenotypes and in-hospital outcomes. Results: Three distinct phenotypes were identified: Cluster 1 (n=4,944, 23.67%) exhibited a "Female Eosinophilic Phenotype", Cluster 2 (n=10,814, 51.77%) displayed a "Male Eosinophilic Phenotype", and Cluster 3 (n=5,132, 24.57%) presented as an "Geriatric Multimorbidity-Associated Neutrophilic Systemic Inflammatory Phenotype". Clusters 2 and 3 were associated with higher risks of in-hospital mortality (adjusted odds ratio [OR Conclusion: Our study identified three phenotypes stratified by sex, multimorbidity burden, and inflammatory endotypes, which advanced threshold definition for eosinophilic exacerbations and provided prognostic insights for ECOPD management.

Indexed as

Pulmonary Disease, Chronic ObstructiveAgedAged, 80 and overCluster AnalysisDisease ProgressionEosinophilsFemaleHospitalizationHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedNeutrophilsPhenotypePrognosiscluster analysisECOPDendotypeexacerbations of chronic obstructive pulmonary diseaseimmunoinflammationin-hospital outcomephenotype

Identifiers

PMID40421318
PMCPMC12105636

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.