Fan Jia-Jia, Gu Jin-Min, Xiao Si-Yao, Jia Ming-Yue, Han Gui-Ling
Department of Pulmonary Disease, Sunsimiao Hospital, Shanxi, China.
Institute of Clinical Medicine, Beijing University of Chinese Medicine, Beijing, China.
Front Med (Lausanne). 2024 Feb 7;11:1335758. doi: 10.3389/fmed.2024.1335758. eCollection 2024.
This study aimed to identify clinical characteristics associated with the prevalence of progressive pulmonary fibrosis (PPF) in interstitial lung disease (ILD) and to develop a prognostic nomogram model for clinical use.
In this single-centered, retrospective study, we enrolled ILD patients with relatively comprehensive clinical data and assessed the incidence of PPF within a year using collected demographics, laboratory data, high-resolution computed tomography (HRCT), and pulmonary function test (PFT) results. We used a training cohort of ILD patients to identify early predictors of PPF and then validated them in an internal validation cohort and subsets of ILD patients using a multivariable logistic regression analysis. A prognostic nomogram was formulated based on these predictors, and the accuracy and efficiency were evaluated using the area under the receiver operating characteristic curve (AUC), calibration plot, and decision curve analysis (DCA).
Among the enrolled patients, 120 (39.09%) cases had connective tissue disease-associated interstitial lung disease (CTD-ILD), 115 (37.46%) had non-idiopathic pulmonary fibrosis idiopathic interstitial pneumonia (non-IPF IIP), and 35 (11.4%) had hypersensitivity pneumonitis (HP). Overall, 118 (38.4%) cases experienced pulmonary fibrosis progression. We found that baseline DLco% pred (OR 0.92; 95% CI, 8.93-0.95) was a protective factor for ILD progression, whereas combined pneumonia (OR 4.57; 95% CI, 1.24-18.43), modified Medical Research Council dyspnea score (mMRC) (OR 4.9; 95% CI, 2.8-9.5), and high-resolution computed tomography (HRCT) score (OR 1.22; 95% CI, 1.07-1.42) were independent risk factors for PPF. The AUC of the proposed nomogram in the development cohort was 0.96 (95% CI, 0.94, 0.98), and the calibration plot showed good agreement between the predicted and observed incidence of PPF (Hosmer-Lemeshow test: = 0.86).
ILD patients with combined pneumonia, low baseline DLco% pred, high mMRC marks, and high HRCT scores were at higher risk of progression. This nomogram demonstrated good discrimination and calibration, indicating its potential utility for clinical practice.
本研究旨在确定与间质性肺疾病(ILD)中进行性肺纤维化(PPF)患病率相关的临床特征,并开发一种用于临床的预后列线图模型。
在这项单中心回顾性研究中,我们纳入了具有相对全面临床数据的ILD患者,并使用收集到的人口统计学数据、实验室数据、高分辨率计算机断层扫描(HRCT)和肺功能测试(PFT)结果评估了一年内PPF的发生率。我们使用ILD患者的训练队列来确定PPF的早期预测因素,然后在内部验证队列和ILD患者亚组中使用多变量逻辑回归分析对其进行验证。基于这些预测因素制定了预后列线图,并使用受试者操作特征曲线(AUC)下面积、校准图和决策曲线分析(DCA)评估其准确性和效率。
在纳入的患者中,120例(39.09%)患有结缔组织病相关间质性肺疾病(CTD-ILD),115例(37.46%)患有非特发性肺纤维化的特发性间质性肺炎(非IPF IIP),35例(11.4%)患有过敏性肺炎(HP)。总体而言,118例(38.4%)患者出现了肺纤维化进展。我们发现基线预计值DLco%(OR 0.92;95%CI,8.93-0.95)是ILD进展的保护因素,而合并肺炎(OR 4.57;95%CI,1.24-18.43)、改良医学研究委员会呼吸困难评分(mMRC)(OR 4.9;95%CI,2.8-9.5)和高分辨率计算机断层扫描(HRCT)评分(OR 1.22;95%CI,1.07-1.42)是PPF的独立危险因素。所提出的列线图在开发队列中的AUC为0.96(95%CI,0.94,0.98),校准图显示PPF预测发病率与观察发病率之间具有良好的一致性(Hosmer-Lemeshow检验: = 0.86)。
合并肺炎、基线预计值DLco%低、mMRC评分高和HRCT评分高的ILD患者进展风险更高。该列线图显示出良好的辨别力和校准性,表明其在临床实践中的潜在应用价值。