Geriatric Intensive Care Unit, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, People's Republic of China.
Medical College, University of Electronic Science and Technology of China, Chengdu, Sichuan, People's Republic of China.
Int J Chron Obstruct Pulmon Dis. 2024 Apr 4;19:859-871. doi: 10.2147/COPD.S448294. eCollection 2024.
Chronic obstructive pulmonary disease (COPD) is closely associated with frailty, and prevention of acute exacerbations is important for disease management. Moreover, COPD patients with frailty experience a higher risk of acute exacerbations. However, the frailty instruments that can better predict acute exacerbations remain unclear.
(1) To explore the factors influencing frailty and acute exacerbations in stable COPD patients, and (2) quantify the ability of multidimensional frailty instruments to predict acute exacerbations within 1 year.
In this retrospective longitudinal study, stable COPD patients were recruited from the outpatient department of Sichuan Provincial People's Hospital from July 2022 to June 2023. COPD patients reviewed their frailty one year ago and their acute exacerbations within one year using face-to-face interviews with a self-developed frailty questionnaire. Frailty status was assessed using the Frailty Index (FI), frailty questionnaire (FRAIL), and Clinical Frailty Scale (CFS). One-way logistic regression was used to explore the factors influencing frailty and acute exacerbations. Multivariate logistic regression was used to establish a prediction model for acute exacerbations, and the accuracy of the three frailty instruments was compared by measuring the area under the receiver operating characteristic curve (AUC).
A total of 120 individuals were included. Frailty incidence estimates using FI, FRAIL, and CFS were 23.3%, 11.7%, and 15.8%, respectively. The three frailty instruments showed consistency in COPD assessments (<0.05). After adjusting for covariates, frailty reflected by the FI and CFS score remained an independent risk factor for acute exacerbations. The CFS score was the best predictor of acute exacerbations (AUC, 0.764 (0.663-0.866); sensitivity, 57.9%; specificity, 80.0%). Moreover, the combination of CFS plus FRAIL scores was a better predictor of acute exacerbations (AUC, 0.792 (0.693-0.891); sensitivity, 86.3%; specificity, 60.0%).
Multidimensional frailty assessments could improve the identification of COPD patients at high risk of acute exacerbations and facilitate targeted interventions to reduce acute exacerbations in these patients.
慢性阻塞性肺疾病(COPD)与衰弱密切相关,预防急性加重对疾病管理很重要。此外,衰弱的 COPD 患者发生急性加重的风险更高。然而,能够更好地预测急性加重的衰弱工具仍不清楚。
(1)探讨稳定期 COPD 患者衰弱和急性加重的影响因素,(2)量化多维衰弱工具预测 1 年内急性加重的能力。
本回顾性纵向研究于 2022 年 7 月至 2023 年 6 月从四川省人民医院门诊招募稳定期 COPD 患者。通过与患者面对面访谈,使用自行开发的衰弱问卷回顾 COPD 患者一年前的衰弱状况和一年内的急性加重情况。使用衰弱指数(FI)、衰弱问卷(FRAIL)和临床衰弱量表(CFS)评估衰弱状态。采用单因素逻辑回归探讨衰弱和急性加重的影响因素。采用多因素逻辑回归建立急性加重预测模型,通过测量受试者工作特征曲线下面积(AUC)比较三种衰弱工具的准确性。
共纳入 120 人。FI、FRAIL 和 CFS 估计的衰弱发生率分别为 23.3%、11.7%和 15.8%。三种衰弱工具在 COPD 评估方面表现出一致性(<0.05)。调整协变量后,FI 和 CFS 评分反映的衰弱仍然是急性加重的独立危险因素。CFS 评分是预测急性加重的最佳指标(AUC,0.764(0.663-0.866);敏感性,57.9%;特异性,80.0%)。此外,CFS 加 FRAIL 评分的组合是预测急性加重的更好指标(AUC,0.792(0.693-0.891);敏感性,86.3%;特异性,60.0%)。
多维衰弱评估可以提高识别 COPD 患者发生急性加重风险的能力,并有助于针对这些患者进行急性加重的靶向干预。