aceIdentification of clinical phenotypes and development of a predictive model for rapid lung function decline in COPD patients
Background Chronic obstructive pulmonary disease (COPD) exhibits significant clinical heterogeneity. This study integrates phenotype identification with longitudinal lung function analysis to develop a prediction tool for rapid decline in a large Chinese cohort. Methods This study included 38,863 COPD patients from a national multicenter screening program. Latent class analysis identified clinical phenotypes. Among 1,215 patients with baseline and 24-month follow-up spirometry, rapid decline was defined as annua…
A CatBoost model using six simple indicators screened for rapid FEV1 decline with high sensitivity and a useful negative predictive value among Chinese COPD patients with follow-up spirometry.
Only 1,215 of the 38,863 patients had baseline and 24-month follow-up spirometry, and the best model's AUC of 0.712 indicates moderate discrimination, so performance may not hold in broader populations.
Evidence
- Peer-reviewedAnnals of Medicine2026-10-01
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Truvace Impact Record TRV-2026-1496, v1: “Identification of clinical phenotypes and development of a predictive model for rapid lung function decline in COPD patients.” Truvace, 2026-10-15. /record/TRV-2026-1496 (accessed at citation time). sha256 0488941d082f0439…
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