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慢性阻塞性肺疾病患者停用或加用吸入性皮质类固醇的效果预测评分模型。

A Prediction Scoring Model for the Effect of Withdrawal or Addition of Inhaled Corticosteroids in Patients with Chronic Obstructive Pulmonary Disease.

机构信息

Division of Pulmonology and Critical Care Medicine, Department of Internal Medicine, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.

Department of Clinical Epidemiology and Biostatistics, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.

出版信息

Int J Chron Obstruct Pulmon Dis. 2023 Feb 15;18:113-127. doi: 10.2147/COPD.S389502. eCollection 2023.

Abstract

PURPOSE

The aims of this study were to develop a scoring model that predicts the effects of withdrawing inhaled corticosteroids (ICSs) from triple therapy and to examine its adaptability when applied to assess the effect of adding ICSs to dual bronchodilators patients with chronic obstructive pulmonary disease (COPD).

PATIENTS AND METHODS

A scoring model was developed using the IMPACT study dataset, consisting of 2389 COPD patients treated with triple therapy before enrollment (ICS withdrawal dataset). The developed model consisted of COPD duration, Acute exacerbation history, Sex, Pulmonary function tests, blood Eosinophil count, and Race (CASPER) and was used to predict composite events of moderate-to-severe exacerbation, all-cause mortality, and pneumonia. Treatment heterogeneity was assessed using Cox interaction analyses. The CASPER model was applied to 540 COPD patients treated with dual bronchodilator before enrollment (ICS addition dataset). Validity was assessed using Harrell's C-index, time-dependent receiver operating characteristic curves, and calibration plots.

RESULTS

The cumulative incidence of the composite event was 60.1% over 12 months in the ICS withdrawal dataset. Cox interaction analyses revealed that ICS was different according to race and blood eosinophil counts. The hazard ratios (HRs) for dual bronchodilator compared with triple therapy were 1.318 (95% confidence interval (CI)=1.170-1.485; -value <0.001) in whites and 0.922 (95% CI = 0.712-1.195; -value=0.541) in other races. The treatment effect was different in the eosinophil count ≥0.3 group (HR = 1.586; 95% CI = 1.274-1.975) and in the eosinophil count = 0.1-0.3 group (HR = 1.211; 95% CI = 1.041-1.408), but it was same in the eosinophil count <0.1 (HR = 1.009; -value=0.940). The CASPER model performed well with good discrimination and calibration, which were superior to the prediction based on exacerbation history and blood eosinophil count.

CONCLUSION

The presented CASPER model might be able to predict and compare the risk of composite events when dual bronchodilator or triple therapy is administered to COPD patients.

摘要

目的

本研究旨在开发一种评分模型,以预测停用吸入性皮质类固醇(ICSs)三联疗法的效果,并检验其在评估慢性阻塞性肺疾病(COPD)患者加用ICSs 对双支气管扩张剂治疗效果时的适用性。

患者和方法

采用IMPACT 研究数据集建立评分模型,该数据集包括 2389 例接受三联疗法治疗的 COPD 患者(ICS 停药数据集)。所建立的模型包括 COPD 病程、急性加重史、性别、肺功能检查、血液嗜酸性粒细胞计数和种族(CASPER),并用于预测中度至重度加重、全因死亡率和肺炎的复合事件。使用 Cox 交互分析评估治疗异质性。将 CASPER 模型应用于 540 例接受双支气管扩张剂治疗的 COPD 患者(ICS 加药数据集)。使用 Harrell 的 C 指数、时间依赖性接受者操作特征曲线和校准图评估有效性。

结果

ICS 停药数据集中,12 个月时复合事件的累积发生率为 60.1%。Cox 交互分析显示,ICS 根据种族和血液嗜酸性粒细胞计数而有所不同。与三联疗法相比,白种人使用双支气管扩张剂的危险比(HR)为 1.318(95%置信区间(CI)=1.170-1.485;-值 <0.001),其他种族为 0.922(95%CI = 0.712-1.195;-值=0.541)。在嗜酸性粒细胞计数≥0.3 组(HR=1.586;95%CI=1.274-1.975)和嗜酸性粒细胞计数=0.1-0.3 组(HR=1.211;95%CI=1.041-1.408)中,治疗效果不同,但在嗜酸性粒细胞计数<0.1 组(HR=1.009;-值=0.940)中,治疗效果相同。CASPER 模型具有良好的区分度和校准度,优于基于加重史和血液嗜酸性粒细胞计数的预测。

结论

本研究提出的 CASPER 模型可能能够预测和比较 COPD 患者使用双支气管扩张剂或三联疗法时复合事件的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c7f/9939789/f6c01a419cf2/COPD-18-113-g0001.jpg

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