Forced vital capacity predicts the survival of interstitial lung disease in anti-MDA5 positive dermatomyositis: a multi-centre cohort study.

Like Comment
Anti-melanoma differentiation-associated gene 5 (MDA5) positive dermatomyositis (DM) is a life-threatening disease often complicated with rapidly progressive interstitial lung disease (ILD). This study aimed to establish and validate a clinical prediction model for 6-month all-cause mortality in Chinese patients with anti-MDA5 positive DM-ILD.We conducted a retrospective observational study using a single-centre derivation cohort and a multi-centre validation cohort. Hospitalized DM patients with positive anti-MDA5 antibody and ILD course ≤3 months on admission were included. Patients' baseline characteristics were described and compared between the deceased and survivors by univariable Cox regression. Optimal cut-off values were defined by the 'survminer' R package for significant continuous variables. Independent prognostic factors were determined by the final multivariable Cox regression model chosen by backward stepwise algorithm, which could be reproduced in both cohorts. The Kaplan-Meier survival analyses based on the derived predictor were conducted.A total of 184 and 81 eligible patients were included with a cumulative 40.8% and 40.7% six-month mortality in the derivation and validation cohorts, respectively. Based on multivariable Cox regression, the prognostic factor at baseline was identified and validated as three-category forced vital capacity (FVC)%: FVC% ≥ 50%, FVC% <50%, unable to perform. This significantly distinguishes three risk stages with mortalities of 15.3%, 46.8%, 97.4% in the derivation cohort, and 14.9%, 58.3%, 86.4% in the validation cohort, respectively (all p 


View the full article @ Rheumatology (Oxford, England)


Get PDF with LibKey
Authors: Wanlong Wu, Wenwen Xu, Wenjia Sun, Danting Zhang, Jiangfeng Zhao, Qun Luo, Xiaodong Wang, Feng Zhu, Yu Zheng, Yu Xue, Weiguo Wan, Huaxiang Wu, Qian Han, Shuang Ye

ClinOwl

The wider, wiser view for healthcare professionals. ClinOwl signposts the latest clinical content from over 100 leading medical journals.
5710 Contributions
2 Followers
0 Following