Evidence map›Paper›PMID 40659976›Full record

ArticleJournal of general internal medicine2025

Derivation and Validation of a New Score for Predicting In-Hospital Mortality in Exacerbations of Chronic Obstructive Pulmonary Disease.

Lige Peng, Qun Yi, Yuanming Luo, Hailong Wei, Huiqing Ge, Huiguo Liu, Jianchu Zhang, Xianhua Li, Xiufang Xie, Pinhua Pan and 7 more

Abstract readValidation StudyMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 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. Article
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

17 authors.

Lige Peng *Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Qun Yi *Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Yuanming LuoState Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, Guangdong Province, China.
Hailong WeiDepartment of Respiratory and Critical Care Medicine, People's Hospital of Leshan, Leshan, Sichuan Province, China.
Huiqing GeDepartment of Respiratory and Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Huiguo LiuDepartment of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Jianchu ZhangDepartment of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Xianhua LiDepartment of Respiratory and Critical Care Medicine, the First People's Hospital of Neijiang City, Neijiang, Sichuan Province, China.
Xiufang XieDepartment of Respiratory and Critical Care Medicine, the First People's Hospital of Neijiang City, Neijiang, Sichuan Province, China.
Pinhua PanDepartment of Respiratory and Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Mengqiu YiDepartment of Emergency, First People's Hospital of Jiujiang, Jiujiang, Jiangxi Province, China.
Lina ChengDepartment of Emergency, First People's Hospital of Jiujiang, Jiujiang, Jiangxi Province, China.
Hui ZhouDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Chengdu University, Chengdu, Sichuan Province, China.
Liang LiuDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Chengdu University, Chengdu, Sichuan Province, China.
Chen ZhouCenter of Infectious Diseases, Division of Infectious Diseases in State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Haixia ZhouDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China. zhouhaixia@wchscu.cn.ORCID 0000-0002-5205-4487
MAGNET ECOPD Registry Investigators

Funding

National Key Research Program of China 2016YFC1304202the Suzhou Collaborative Medical Health Foundation Y117
6 · The paper itself

Abstract

BACKGROUND AND

objectiveSince exacerbation of chronic obstructive pulmonary disease (ECOPD) is both common and often fatal, accurate prognostication of patients hospitalized for ECOPD is critical. We aimed to develop and validate a new score for predicting hospital mortality.

methodsIndependent predictors of in-hospital mortality were identified from a large prospective cohort of ECOPD from 10 medical centers in China between September 2017 and July 2021, and incorporated into a clinical prediction score. Application of this score was then prospectively evaluated in an external validation cohort. The prognostic value of the scores was assessed by the area under the receiver operating characteristic curve (AUC).

resultsA total of 14,007 patients were included in the derivation cohort, and 201 patients (1.43%) died in the hospital. The 11 strongest independent predictors were combined to form the Chronic Heart failure, Age ≥ 75, altered Mental status, Pneumonia, Interstitial lung disease, diastolic blOod pressure ≤ 70 mmHg, Neutrophil ratio > 85 (%), Anemia, Long-term bed rest, hEart Rate > 100 (beats/minute), and blood urea niTrogen > 7.3 mmol/L, CHAMPION-ALERT Score, which enabled patients to be stratified according to increasing risk of in-hospital mortality: score 0-5, 0.3%; score 6-9, 4.4%; score 10-16, 25.9%. The score displayed excellent predictive value for mortality with an AUC of 0.89 (95% CI 0.87-0.92), which was reproduced in the validation cohort of 3048 patients. The discrimination of the new score was superior to or comparable to that of existing prognostic scores (DECAF, BAP-65, and CURB-65).

conclusionA new scoring system composes of 11 routinely available clinical variables on admission can accurately predict in-hospital mortality in ECOPD and shows a trend toward better performance compared to previous prognostic scores.

Indexed as

Hospital MortalityPulmonary Disease, Chronic ObstructiveAgedAged, 80 and overChinaCohort StudiesDisease ProgressionFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisProspective Studiesexacerbation of chronic obstructive pulmonary diseasein-hospital mortalityinpatientsprognostic score

Identifiers

PMID40659976
PMCPMC12508324

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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.