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Published on: December 15, 2011
Serum IgA levels for predicting the development of rapidly progressive interstitial lung disease in dermatomyositis
Haoru Zhang1, Renge Liang2, Xin Yuan1
1Department of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Background:
Some patients with dermatomyositis (DM) can develop rapidly progressive interstitial lung disease (RPILD) that is resistant to treatment and life-threatening. Convenient and practical predictive factors for the development of RPILD are currently lacking. We aimed to identify independent risk factors for RPILD in patients with DM.
Methods:
A total of 71 patients with DM admitted to our hospital between July 2018 and July 2022 were retrospectively reviewed. Risk factors to predict RPILD were identified by univariate and multivariate regression analyses, and significant variates for RPILD were included to establish a risk model.
Results:
Multivariate regression analysis revealed that the risk of RPILD was significantly associated with serum IgA levels. The area under the risk model curve, established by IgA levels combined with other independent predictors including the anti-melanoma differentiation-associated gene 5 (MDA5) antibody, fever, and C-reactive protein, was 0.935 (P < 0.001).
Conclusion:
A higher serum IgA level was identified as an independent risk factor for RPILD in patients with DM.
Insights
High serum IgA levels are a key predictor of rapidly progressive interstitial lung disease (RPILD) in dermatomyositis (DM) patients. This finding helps identify individuals at higher risk for this severe complication.
Area of Science:
- Rheumatology
- Pulmonology
- Immunology
Background:
- Dermatomyositis (DM) patients can develop life-threatening, treatment-resistant rapidly progressive interstitial lung disease (RPILD).
- Predictive factors for RPILD in DM are currently lacking, hindering early intervention.
- Identifying reliable risk factors is crucial for managing DM-associated RPILD.
Purpose of the Study:
- To identify independent risk factors for the development of RPILD in patients with DM.
- To establish a practical predictive model for RPILD in DM.
Main Methods:
- Retrospective review of 71 DM patients admitted between July 2018 and July 2022.
- Univariate and multivariate regression analyses were performed to identify risk factors.
- A risk model was established using significant predictors.
Main Results:
- Serum IgA levels were identified as a significant independent risk factor for RPILD in DM.
- A predictive model combining IgA levels, anti-MDA5 antibody, fever, and C-reactive protein achieved an area under the curve of 0.935 (P < 0.001).
Conclusions:
- Elevated serum IgA levels are an independent risk factor for RPILD in DM patients.
- The developed risk model demonstrates high predictive accuracy for RPILD in DM.
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