Nomogram integrating inflammatory biomarkers predicts chronic obstructive pulmonary disease exacerbation Post-Rehabilitation

The nomogram model integrating systemic inflammatory biomarkers demonstrated the potential to acute exacerbation risk in COPD patients after pulmonary rehabilitation, with PLR, eosinophil percentage, and NLR identified as key predictive indicators.

Authors

Institutions

Publication Details

Journal
BMC Pulmonary Medicine
Published
2026-02-09
DOI
https://doi.org/10.1186/s12890-026-04138-w
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nomogram integrating inflammatory biomarkers predicts chronic obstructive pulmonary disease exacerbation Post-Rehabilitation

Xinyu Zhao, Ximing Liang, Hongyun Zhang, Ping Lv et al.
BMC Pulmonary Medicine
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Nomogram integrating inflammatory biomarkers predicts chronic obstructive pulmonary disease exacerbation Post-Rehabilitation

Xinyu Zhao, Ximing Liang, Hongyun Zhang, Ping Lv, Qian Lu
article en

Abstract

The nomogram model integrating systemic inflammatory biomarkers demonstrated the potential to acute exacerbation risk in COPD patients after pulmonary rehabilitation, with PLR, eosinophil percentage, and NLR identified as key predictive indicators.

BMC Pulmonary MedicineVol. 26(1)
Shijiazhuang University (CN), Chinese PLA General Hospital (CN)
Good health and well-being
Openalex Percentile: Top 63%
Chronic Obstructive Pulmonary Disease (COPD) Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.