Development and external validation of an admission-based model for in-hospital mortality in acute exacerbation of COPD: incremental prognostic value of type 2 diabetes mellitus
Abstract
Background: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) carries substantial short-term mortality. Whether type 2 diabetes mellitus (T2DM) provides incremental prognostic information for in-hospital death during AECOPD, beyond acute physiological decompensation, remains incompletely defined. Methods: We conducted a multicenter retrospective cohort study of consecutive inpatients admitted for AECOPD at three tertiary hospitals (June 2022-December 2024). A multivariable logistic model was developed in the training cohort using routinely available variables obtained early after admission, with feature selection by LASSO and performance evaluation by discrimination, calibration, and decision curve analysis. External validation was performed in an independent hospital cohort with intercept/slope recalibration when indicated. Results: , blood urea nitrogen, neutrophil-to-lymphocyte-to-albumin ratio, C-reactive protein, and age. The resulting six-variable nomogram showed strong discrimination (AUC = 0.843 training; 0.817 external), low overall prediction error (external Brier≈0.025), and clinically meaningful net benefit across 5-15% threshold probabilities; calibration in the external cohort was improved to near-ideal after recalibration. Conclusion: In hospitalized AECOPD, T2DM provides clinically relevant incremental prognostic information for short-term in-hospital mortality within a parsimonious multivariable model. The nomogram may facilitate early risk stratification and support integrated respiratory and metabolic co-management.
Fields of Study & Subjects
Chronic Obstructive Pulmonary Disease (COPD) Research
Sepsis Diagnosis and Treatment
Hyperglycemia and glycemic control in critically ill and hospitalized patients
Publication details
- Journal / source
- Frontiers in Endocrinology
- Publisher
- Frontiers Media SA
- Volume
- 17
- Pages
- 1726502–1726502
- Publication date
- 11 February 2026
- Language
- EN