4.3 Article

A prognostic analysis of antisynthetase syndrome-related interstitial lung disease

Journal

INTERNATIONAL JOURNAL OF RHEUMATIC DISEASES
Volume 25, Issue 12, Pages 1368-1375

Publisher

WILEY
DOI: 10.1111/1756-185X.14428

Keywords

anti-aminoacyl-transferase RNA synthetase antibody; antisynthetase syndrome; interstitial lung disease; myositis; prognosis

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Funding

  1. Chongqing Science and health joint medical research project [2020MSXM033]

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This study aimed to analyze prognostic factors of ASS-related ILD. The retrospective study of 77 patients revealed that respiratory failure and elevated muscle enzymes were independent risk factors, while mechanic's hands and anti-Jo-1 antibody were protective factors.
Objective To analyze prognostic factors of antisynthetase syndrome (ASS)-related interstitial lung disease (ILD). Methods We retrospectively collected the data of 77 inpatients with ASS-ILD at our hospital from January 1, 2018, to January 1, 2021. The improvement/stability group and deterioration/death group were defined according to their follow-up outcome. Clinical data of the 2 groups were compared. Univariate analysis was adopted to screen the possible prognostic factors and then logistic regression was used for multivariate analysis. Result After 6 to 42 months of follow-up, 52 patients (67.5%) were classified into the improvement/stability group, and 25 patients (32.5%) were classified into the deterioration/death group. According to the multivariate stepwise logistic regression analysis, respiratory failure (odds ratio [OR] = 6.71, 95% CI: 1.64-27.38, P = .008) and elevated muscle enzymes (OR = 4.31, 95% CI: 1.03-18.05, P = .045) were found to be independent risk factors, while mechanic's hands (OR = 0.06, 95% CI: 0.01-0.37, P = .003) and anti-Jo-1 antibody (OR = 0.24, 95% CI: 0.06-0.93, P = .039) were protective factors. Conclusion The prognostic assessment of ASS-ILD patients should be emphasized. Patients with a poor prognosis should be identified early based on their risk factors to guide clinical management decisions.

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