Validation and Clinical Analysis of the Quantitative COPD Exacerbation Recognition Tool (Q-CERT): Diagnostic Performance and Association with Lung Function Impairment

Objective: There is a need for a patient-centered tool that can quantitatively identify acute exacerbations of COPD. This study aims to develop and validate a digital tool that enables such care by providing a quantifiable severity score. Methods: A total of 161 AECOPD patients and 130 stable COPD patients from Henan Provincial People's Hospital were enrolled. Demographics, clinical symptoms, pulmonary function parameters and admission laboratory data for patients were collected. The COPD Exacerbation Recognition Tool (CERT) was quantified using a 4-point Likert scale (0-3) to derive the Quantitative-CERT (Q-CERT) score. Effectiveness of the CERT and Q-CERT in identifying AECOPD was assessed. Results: <0.05). Conclusion: Q-CERT enhanced the original CERT's ability to identify AECOPD. And total score was correlated with pulmonary function impairment and systemic inflammation, making it an efficient and reliable tool for clinical practice.

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Publication Details

Journal
International Journal of COPD
Published
2026-05-01
DOI
https://doi.org/10.2147/copd.s593891
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Validation and Clinical Analysis of the Quantitative COPD Exacerbation Recognition Tool (Q-CERT): Diagnostic Performance and Association with Lung Function Impairment

Yongqin Liu, Paul Jones, Chao Zhou, Xingru Zhao et al.
International Journal of COPD
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Validation and Clinical Analysis of the Quantitative COPD Exacerbation Recognition Tool (Q-CERT): Diagnostic Performance and Association with Lung Function Impairment

Yongqin Liu, Paul Jones, Chao Zhou, Xingru Zhao, Kai Cui, Yunxia An, Xiaoju Zhang
article en

Abstract

Objective: There is a need for a patient-centered tool that can quantitatively identify acute exacerbations of COPD. This study aims to develop and validate a digital tool that enables such care by providing a quantifiable severity score. Methods: A total of 161 AECOPD patients and 130 stable COPD patients from Henan Provincial People's Hospital were enrolled. Demographics, clinical symptoms, pulmonary function parameters and admission laboratory data for patients were collected. The COPD Exacerbation Recognition Tool (CERT) was quantified using a 4-point Likert scale (0-3) to derive the Quantitative-CERT (Q-CERT) score. Effectiveness of the CERT and Q-CERT in identifying AECOPD was assessed. Results: <0.05). Conclusion: Q-CERT enhanced the original CERT's ability to identify AECOPD. And total score was correlated with pulmonary function impairment and systemic inflammation, making it an efficient and reliable tool for clinical practice.

International Journal of COPDVol. Volume 21
St George's, University of London (GB), Henan Provincial People's Hospital (CN), Zhengzhou People's Hospital (CN)
Henan Provincial Science and Technology Research Project
Openalex Percentile: Top 12%
Chronic Obstructive Pulmonary Disease (COPD) Research
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Validation and Clinical Analysis of the Quantitative COPD Exacerbation Recognition Tool (Q-CERT): Diagnostic Performance and Association with Lung Function Impairment — Yongqin Liu, Paul Jones, et al. · International Journal of COPD (2026) | TGRS Research Map | TGRS