Fu Yu-Fen, Mou Ting, He Xiang, Wu De-Hong, Li Guo-Ping
Department of Respiratory and Critical Care Medicine,Affiliated Hospital of Southwest Medical University, Luzhou,Sichuan 646000,China.
Laboratory of Allergy and Precision Medicine,Chengdu Institute of Respiratory Health,Chengdu 610031,China.
Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2024 Aug;46(4):519-527. doi: 10.3881/j.issn.1000-503X.15981.
Objective To identify the risk factors of patients with frequent acute exacerbations of chronic obstructive pulmonary disease (AECOPD) and construct a prediction model based on the clinical data,providing a theoretical basis for the clinical prevention and treatment. Methods A total of 25 638 COPD patients admitted to the Department of Respiratory and Critical Care Medicine,the Third People's Hospital of Chengdu from January 1,2013 to May 1,2023 were selected.Among them,11 315 patients were included according to the inclusion and exclusion criteria,and their clinical characteristics were analyzed.Multivariate Logistic regression was carried out to identify the risk factors for frequent AECOPD.A nomogram model was utilized to quantify the risk of acute exacerbation,and the performance of the prediction model was assessed based on the area under the receiver operating characteristic (ROC) curve. Results In the patients with frequent AECOPD,male percentage (<0.001),age (<0.001),urban residence (<0.001),smoking (<0.001),length of stay (<0.001),total cost (<0.001),antibiotic cost (<0.001),diabetes (=0.003),respiratory failure (<0.001),heart disease (<0.001),application of systemic glucocorticoids (<0.001),white blood cell count (<0.001),neutrophil percentage (<0.001),C-reactive protein (<0.001),total cholesterol (<0.001),and brain natriuretic peptide (BNP) (<0.001) were all higher than those in the patients with infrequent AECOPD.Multivariate Logistic regression analysis revealed that age,urban residence,smoking,diabetes,heart disease, infection,application of systemic glucocorticoids,antibiotics,respiratory failure,and elevated white blood cell count,total cholesterol,and BNP were independent risk factors for hospitalization due to frequent AECOPD.A nomogram model of hospitalization due to frequent AECOPD was constructed according to risk factors.The ROC curve was established to evaluate the performance of the model,which showed the area under the ROC curve of 0.899 (95%=0.892-0.905),the sensitivity of 85.30%,and the specificity of 79.80%. Conclusion Frequent AECOPD is associated with smoking,heart disease,application of systemic glucocorticoids, infection,age,low body mass index,and elevated BNP.Predicting the risks of hospitalization due to frequent AECOPD by the established model can provide theoretical support for the treatment and risk factor management of the patients.
目的 识别慢性阻塞性肺疾病频繁急性加重(AECOPD)患者的危险因素,并基于临床数据构建预测模型,为临床防治提供理论依据。方法 选取2013年1月1日至2023年5月1日在成都市第三人民医院呼吸与危重症医学科住院的25638例慢性阻塞性肺疾病(COPD)患者。其中,根据纳入和排除标准纳入11315例患者,分析其临床特征。进行多因素Logistic回归分析以识别AECOPD频繁发作的危险因素。利用列线图模型量化急性加重风险,并基于受试者工作特征(ROC)曲线下面积评估预测模型的性能。结果 在AECOPD频繁发作的患者中,男性比例(<0.001)、年龄(<0.001)、城市居住(<0.001)、吸烟(<0.001)、住院时间(<0.001)、总费用(<0.001)、抗生素费用(<0.001)、糖尿病(=0.003)、呼吸衰竭(<0.001)、心脏病(<0.001)、全身糖皮质激素应用(<0.001)、白细胞计数(<0.001)、中性粒细胞百分比(<0.001)、C反应蛋白(<0.001)、总胆固醇(<0.001)和脑钠肽(BNP)(<0.001)均高于AECOPD不频繁发作的患者。多因素Logistic回归分析显示,年龄、城市居住、吸烟、糖尿病、心脏病、感染、全身糖皮质激素应用、抗生素、呼吸衰竭以及白细胞计数、总胆固醇和BNP升高是AECOPD频繁发作导致住院的独立危险因素。根据危险因素构建了AECOPD频繁发作导致住院的列线图模型。绘制ROC曲线评估模型性能,结果显示ROC曲线下面积为0.899(95%=0.892 - 0.905),灵敏度为85.30%,特异度为79.80%。结论 AECOPD频繁发作与吸烟、心脏病、全身糖皮质激素应用、感染、年龄、低体重指数和BNP升高有关。通过建立的模型预测AECOPD频繁发作导致住院的风险可为患者的治疗和危险因素管理提供理论支持。