Evidence map›Paper›PMID 41393156›Full record

ArticleFrontiers in medicine2025

Ventilation heterogeneity across A-B-E phenotypes in COPD: insights from spirometry and electrical impedance tomography.

Junsong Zhang, Tian Liu, Zhongkai Chang, Meng Dai, Liqiang Song, Lin Yang, Xinyu Ti, Shuoyao Qu, Zhanqi Zhao

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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

9 authors.

Junsong Zhang *Department of Pulmonary and Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Tian Liu *Nanshan School, Guangzhou Medical University, Guangzhou, China.
Zhongkai ChangThe Sixth Clinical Medical School, Guangzhou Medical University, Qingyuan People's Hospital, Guangzhou, China.
Meng DaiDepartment of Biomedical Engineering, The Fourth Military Medical University, Xi'an, China.
Liqiang SongDepartment of Pulmonary and Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Lin YangDepartment of Aerospace Medicine, The Fourth Military Medical University, Xi'an, China.
Xinyu TiDepartment of Pulmonary and Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Shuoyao QuDepartment of Pulmonary and Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Zhanqi ZhaoSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to evaluate the regional ventilation distributions in A-B-E phenotypes among patients with chronic obstructive pulmonary disease (COPD). The feasibility to better distinguish the phenotypes combining global spirometry and regional ventilation parameters derived from electrical impedance tomography (EIT) was explored. Methods: A cohort undergoing pulmonary function testing was prospectively enrolled. Regional spatial and temporal ventilation parameters were calculated with EIT. Principal component analysis was used to visualize phenotypic clustering, while multinomial logistic regression evaluated discriminatory performance. Feature importance was interpreted using SHapley Additive exPlanations (SHAP). Results: This study enrolled 88 COPD patients (Group A Conclusion: COPD phenotypes showed differences in global and regional flow limitations. The combination of global and regional information helped with distinguishing phenotypes.

Indexed as

ABE phenotype classificationchronic obstructive pulmonary diseaseelectrical impedance tomographymulticlass logistic regression modelregional ventilation

Identifiers

PMID41393156
PMCPMC12697065

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