Dataset Information

Rapidly progressive interstitial lung disease risk prediction in anti-MDA5 positive dermatomyositis: the CROSS model.

ABSTRACT:

Background

The prognosis of anti-melanoma differentiation-associated gene 5 positive dermatomyositis (anti-MDA5⁺DM) is poor and heterogeneous. Rapidly progressive interstitial lung disease (RP-ILD) is these patients' leading cause of death. We sought to develop prediction models for RP-ILD risk in anti-MDA5⁺DM patients.

Methods

Patients with anti-MDA5⁺DM were enrolled in two cohorts: 170 patients from the southern region of Jiangsu province (discovery cohort) and 85 patients from the northern region of Jiangsu province (validation cohort). Cox proportional hazards models were used to identify risk factors of RP-ILD. RP-ILD risk prediction models were developed and validated by testing every independent prognostic risk factor derived from the Cox model.

Results

There are no significant differences in baseline clinical parameters and prognosis between discovery and validation cohorts. Among all 255 anti-MDA5⁺DM patients, with a median follow-up of 12 months, the incidence of RP-ILD was 36.86%. Using the discovery cohort, four variables were included in the final risk prediction model for RP-ILD: C-reactive protein (CRP) levels, anti-Ro52 antibody positivity, short disease duration, and male sex. A point scoring system was used to classify anti-MDA5⁺DM patients into moderate, high, and very high risk of RP-ILD. After one-year follow-up, the incidence of RP-ILD in the very high risk group was 71.3% and 85.71%, significantly higher than those in the high-risk group (35.19%, 41.69%) and moderate-risk group (9.54%, 6.67%) in both cohorts.

Conclusions

The CROSS model is an easy-to-use prediction classification system for RP-ILD risk in anti-MDA5⁺DM patients. It has great application prospect in disease management.

SUBMITTER: Wang L

PROVIDER: S-EPMC10867574 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature

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Publications

Rapidly progressive interstitial lung disease risk prediction in anti-MDA5 positive dermatomyositis: the CROSS model.

Wang Lei L Lv Chengyin C You Hanxiao H Xu Lingxiao L Yuan Fenghong F Li Ju J Wu Min M Zhou Shiliang S Da Zhanyun Z Qian Jie J Wei Hua H Yan Wei W Zhou Lei L Wang Yan Y Yin Songlou S Zhou Dongmei D Wu Jian J Lu Yan Y Su Dinglei D Liu Zhichun Z Liu Lin L Ma Longxin L Xu Xiaoyan X Zang Yinshan Y Liu Huijie H Ren Tianli T Liu Jin J Wang Fang F Zhang Miaojia M Tan Wenfeng W

Frontiers in immunology 20240201

<h4>Background</h4>The prognosis of anti-melanoma differentiation-associated gene 5 positive dermatomyositis (anti-MDA5<sup>+</sup>DM) is poor and heterogeneous. Rapidly progressive interstitial lung disease (RP-ILD) is these patients' leading cause of death. We sought to develop prediction models for RP-ILD risk in anti-MDA5<sup>+</sup>DM patients.<h4>Methods</h4>Patients with anti-MDA5<sup>+</sup>DM were enrolled in two cohorts: 170 patients from the southern region of Jiangsu province (discov ...[more]

PMID: 38361940

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Project description:Dermatomyositis (DM) is a heterogeneous autoimmune disease associated with numerous myositis specific antibodies (MSAs) in which DM with anti-melanoma differentiation-associated gene 5-positive (MDA5 + DM) is a unique subtype of DM with higher risk of developing varying degrees of Interstitial lung disease (ILD). Glycosylation is a complex posttranslational modification of proteins associated with many autoimmune diseases. However, the association of total plasma N-glycome (TPNG) and DM, especially MDA5 + DM, is still unknown. TPNG of 94 DM patients and 168 controls were analyzed by mass spectrometry with in-house reliable quantitative method called Bionic Glycome method. Logistic regression with age and sex adjusted was used to reveal the aberrant glycosylation of DM and the association of TPNG and MDA5 + DM with or without rapidly progressive ILD (RPILD). The elastic net model was used to evaluate performance of glycans in distinguishing RPLID from non-RPILD, and survival analysis was analyzed with N-glycoslyation score by Kaplan-Meier survival analysis. It was found that the plasma protein N-glycome in DM showed higher fucosylation and bisection, lower sialylation (α2,3- not α2,6-linked) and galactosylation than controls. In MDA5 + DM, more severe disease condition was associated with decreased sialylation (specifically α2,3-sialylation with fucosylation) while accompanying elevated H6N5S3 and H5N4FSx, decreased galactosylation and increased fucosylation and the complexity of N-glycans. Moreover, glycosylation traits have better discrimination ability to distinguish RPILD from non-RPILD with AUC 0.922 than clinical features and is MDA5-independent. Survival advantage accrued to MDA5 + DM with lower N-glycosylation score (p = 3e-04). Our study reveals the aberrant glycosylation of DM for the first time and indicated that glycosylation is associated with disease severity caused by ILD in MDA5 + DM, which might be considered as the potential biomarker for early diagnosis of RPILD and survival evaluation of MDA5 + DM.Supplementary informationThe online version contains supplementary material available at 10.1007/s43657-023-00096-z.

Project description:BackgroudAnti-melanoma differentiation-associated protein 5 antibody-positive dermatomyositis (anti-MDA5-positvie DM) is a subtype of dermatomyositis with a poor prognosis, characterized by rapidly progressive interstitial lung disease (RP-ILD). The study aims to investigate the significance of serum cytokines profiles and peripheral lymphocytes in predicting prognoses of anti-MDA5-positvie DM with RP-ILD. Furthermore, it seeks to analyze longitudinal data of lymphocytes during hospitalization to identify distinct trajectories and cluster patients accordingly.MethodsA total of 168 patients with anti-MDA5-positive DM were enrolled in this retrospective study from two cohorts. Univariate and multivariate Cox regression analyses were conducted to determine the predictors of 6-month all-cause mortality and RP-ILD. Group-based trajectory modeling (GBTM) was employed to model the trajectories of longitudinal peripheral lymphocytes.ResultsIn the multivariate Cox regression analysis, IL-6 ≥ 13.41pg/mL, lymphocytes < 0.5 × 109 /L, lymphocytes from 0.5 to 1.0 × 109 /L, older age, and elevated LDH were identified as independent predictors of 6-month all-cause mortality. Furthermore, IL-6 ≥ 13.41pg/mL, lymphocytes < 0.5 × 109 /L, and lymphocytes from 0.5 to 1.0 × 109 /L were found to be independent predictors of RP-ILD. Additionally, three trajectory groups of lymphocytes within the first week after admission were established based on GBTM. These groups included: Group 1, with low-level of lymphocytes that declined; Group 2, with medium-level of lymphocytes that slightly rose; and Group 3, with high-level of lymphocytes that rose. Notably, group 1 showed the highest mortality (90.7%) and all experiencing RP-ILD. Increased expression of IL-6 in lung tissues was observed in two cases with RP-ILD compared to two cases without RP-ILD. We also found the increased infiltration of CD4 + and CD8 + T cells, particularly CD8 + T cells, in lung tissues from patients with RP-ILD.ConclusionsOur study demonstrated that increased level of serum IL-6 (≥ 13.41pg/mL) and severe lymphopenia were promising predictors of 6-month all-cause mortality and the occurrence of RP-ILD in anti-MDA5-positive DM patients. Furthermore, tracking distinct trajectories of lymphocytes during hospitalization can be utilized to cluster patients.

Project description:BackgroundRapidly progressive interstitial lung disease (RP-ILD) is the most serious complication of anti-melanoma differentiation-associated gene 5-positive dermatomyositis (anti-MDA5+ DM). This study was performed to assess the prognostic factors of patients with anti-MDA5+ DM and the clinical characteristics and predictors of anti-MDA5+ DM in combination with RP-ILD.MethodsIn total, 73 MDA5+ DM patients were enrolled in this study from March 2017 to December 2021. They were divided into survival and non-survival subgroups and non-RP-ILD and RP-ILD subgroups.ResultsThe lactate dehydrogenase (LDH) concentration and prognostic nutritional index (PNI) were independent prognostic factors in patients with anti-MDA5+ DM: the elevated LDH was associated with increased mortality (p = 0.01), whereas the elevated PNI was associated with reduced mortality (p < 0.001). The elevated LDH was independent risk prognostic factor for patients with anti-MDA5+ DM (HR 2.42, 95% CI: 1.02-4.83, p = 0.039), and the elevated PNI was independent protective prognostic factor (HR, 0.27; 95% CI, 0.08 - 0.94; p = 0.039). Patients who had anti-MDA5+ DM with RP-ILD had a significantly higher white blood cell count and LDH concentration than those without RP-ILD (p = 0.007 and p = 0.019, respectively). In contrast, PNI was significantly lower in patients with RP-ILD than those without RP-ILD (p < 0.001). The white blood cell count and elevated LDH were independent and significant risk factors for RP-ILD (OR 1.54, 95% CI: 1.12 - 2.13, p = 0.009 and OR 8.68, 95% CI: 1.28 - 58.83, p = 0.027, respectively), whereas the lymphocyte was an independent protective factor (OR, 0.11; 95% CI, 0.01 - 0.81; p = 0.03).ConclusionThe elevated LDH and elevated PNI were independent prognostic factors for patients with anti-MDA5+ DM. The elevated LDH was independent risk factor for RP-ILD. Patients with anti-MDA5+ DM could benefit from the measurement of LDH and PNI, which are inexpensive and simple parameters that could be used for diagnosis as well as prediction of the extent of lung involvement and prognosis.

Dataset Information

Rapidly progressive interstitial lung disease risk prediction in anti-MDA5 positive dermatomyositis: the CROSS model.

Background

Methods

Results

Conclusions

Publications

Rapidly progressive interstitial lung disease risk prediction in anti-MDA5 positive dermatomyositis: the CROSS model.

Similar Datasets

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