已发表论文
慢性阻塞性肺疾病患者急性加重后 30 天再入院及一年内频繁再入院风险因素的识别
Chunxue Ran,* Mengyu Lian,* Nafeisa Dilixiati, Ruiyan Lin, Jie Song, Jingjing Yang, Jinxiang Wang
Department of Pulmonary and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, 101100, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Jinxiang Wang, Email jinxiangwang@ccmu.edu.cn
Objective: Acute exacerbations of chronic obstructive pulmonary disease (COPD) are a major cause of hospitalization and readmission, severely impacting patients’ quality of life and long-term prognosis. This study aimed to identify risk factors for both 30-day and frequent readmissions within one year following hospitalization for an acute exacerbation of COPD.
Methods: We conducted a retrospective analysis of 1,208 patients hospitalized for acute COPD exacerbations. Patients were categorized based on readmission within 30 days or multiple readmissions in the subsequent year. Univariate and multivariate logistic regression analyses were employed to identify independent risk factors. A predictive nomogram model was developed and internally validated using bootstrapping techniques.
Results: For 30-day readmissions, age was identified as an independent risk factor (OR=1.044, 95% CI: 1.008– 1.081). For frequent one-year readmissions, multivariate analysis revealed age (OR=1.025, 95% CI: 1.008– 1.042) and Anthonisen classification Type I/II (OR=1.556, 95% CI: 1.021– 2.369) as independent risk factors, while creatine kinase (CK) acted as a protective factor (OR=0.998, 95% CI: 0.996– 1.000). The nomogram demonstrated good predictive performance, with a C-index of 0.730 and an AUC of 0.730 upon internal validation.
Conclusion: This study identifies age and Anthonisen classification as key risk factors, and CK as a protective factor for readmissions in COPD patients following acute exacerbation. The validated nomogram provides a practical clinical tool for predicting readmission risks, enabling early identification of high-risk patients during hospitalization or at discharge. This risk stratification approach can facilitate implementation of personalized management strategies, such as intensified follow-up or targeted interventions, to reduce readmission rates and improve patient outcomes.
Keywords: chronic obstructive pulmonary disease, acute exacerbation, readmission, risk factors, nomogram model