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Predicting Survival Across Acute Exacerbation of Interstitial Lung Disease in Patients with Idiopathic Inflammatory Myositis: The GAP-ILD Model

INTRODUCTION: Risk prediction is challenging in patients with idiopathic inflammatory myopathies (IIM) and acute exacerbation of interstitial lung disease (AE-ILD) because of heterogeneity and patient-specific variables. Our objective was to assess whether mortality is accurately predicted in patien...

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Autores principales: Cao, Heng, Huan, Caijuan, Wang, Qin, Xu, Guanhua, Lin, Jin, Zhou, Jianying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695794/
https://www.ncbi.nlm.nih.gov/pubmed/33106937
http://dx.doi.org/10.1007/s40744-020-00244-1
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author Cao, Heng
Huan, Caijuan
Wang, Qin
Xu, Guanhua
Lin, Jin
Zhou, Jianying
author_facet Cao, Heng
Huan, Caijuan
Wang, Qin
Xu, Guanhua
Lin, Jin
Zhou, Jianying
author_sort Cao, Heng
collection PubMed
description INTRODUCTION: Risk prediction is challenging in patients with idiopathic inflammatory myopathies (IIM) and acute exacerbation of interstitial lung disease (AE-ILD) because of heterogeneity and patient-specific variables. Our objective was to assess whether mortality is accurately predicted in patients with IIM and AE-ILD by using the gender age physiology ILD (GAP-ILD) model, a clinical prediction model that was previously validated in patients with idiopathic pulmonary fibrosis. METHODS: A retrospective cohort study was conducted in the First Affiliated Hospital, Zhejiang University, wherein 60 consecutive patients with IIM and AE-ILD admitted between February 2011 and April 2019. The GAP-ILD was assessed retrospectively on the basis of gender, age and pulmonary function test. RESULTS: Patients with AE-ILD (n = 60) were identified and collected, 26 deaths occurred during follow-up, and the non-survivors group presented a higher level of GAP-ILD index (P = 0.005), bacterial infection (P = 0.013), and myositis disease activity assessment (MYOACT) (P = 0.031). The subsequent multivariate logistic regression analysis of overall mortality in AE-ILD revealed that bacterial infection (OR 5.275, P = 0.037) and GAP-ILD index (OR 2.292, P = 0.011) conferred significant risk of mortality. The GAP-ILD index was able to separate patients with AE-ILD into two groups with a statistically significant difference in survival rate (log rank P = 0.002). Satisfactory mortality estimation was maintained in the corresponding GAP-ILD index across the AE-ILD group. CONCLUSION: The GAP-ILD model preforms well in risk prediction of mortality among patients with IIM and AE-ILD. Pulmonary bacterial infection can also be taken as an initial predictor of poor prognosis in patients with IIM and AE-ILD that must be taken seriously. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40744-020-00244-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-76957942020-11-30 Predicting Survival Across Acute Exacerbation of Interstitial Lung Disease in Patients with Idiopathic Inflammatory Myositis: The GAP-ILD Model Cao, Heng Huan, Caijuan Wang, Qin Xu, Guanhua Lin, Jin Zhou, Jianying Rheumatol Ther Original Research INTRODUCTION: Risk prediction is challenging in patients with idiopathic inflammatory myopathies (IIM) and acute exacerbation of interstitial lung disease (AE-ILD) because of heterogeneity and patient-specific variables. Our objective was to assess whether mortality is accurately predicted in patients with IIM and AE-ILD by using the gender age physiology ILD (GAP-ILD) model, a clinical prediction model that was previously validated in patients with idiopathic pulmonary fibrosis. METHODS: A retrospective cohort study was conducted in the First Affiliated Hospital, Zhejiang University, wherein 60 consecutive patients with IIM and AE-ILD admitted between February 2011 and April 2019. The GAP-ILD was assessed retrospectively on the basis of gender, age and pulmonary function test. RESULTS: Patients with AE-ILD (n = 60) were identified and collected, 26 deaths occurred during follow-up, and the non-survivors group presented a higher level of GAP-ILD index (P = 0.005), bacterial infection (P = 0.013), and myositis disease activity assessment (MYOACT) (P = 0.031). The subsequent multivariate logistic regression analysis of overall mortality in AE-ILD revealed that bacterial infection (OR 5.275, P = 0.037) and GAP-ILD index (OR 2.292, P = 0.011) conferred significant risk of mortality. The GAP-ILD index was able to separate patients with AE-ILD into two groups with a statistically significant difference in survival rate (log rank P = 0.002). Satisfactory mortality estimation was maintained in the corresponding GAP-ILD index across the AE-ILD group. CONCLUSION: The GAP-ILD model preforms well in risk prediction of mortality among patients with IIM and AE-ILD. Pulmonary bacterial infection can also be taken as an initial predictor of poor prognosis in patients with IIM and AE-ILD that must be taken seriously. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40744-020-00244-1) contains supplementary material, which is available to authorized users. Springer Healthcare 2020-10-26 /pmc/articles/PMC7695794/ /pubmed/33106937 http://dx.doi.org/10.1007/s40744-020-00244-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Cao, Heng
Huan, Caijuan
Wang, Qin
Xu, Guanhua
Lin, Jin
Zhou, Jianying
Predicting Survival Across Acute Exacerbation of Interstitial Lung Disease in Patients with Idiopathic Inflammatory Myositis: The GAP-ILD Model
title Predicting Survival Across Acute Exacerbation of Interstitial Lung Disease in Patients with Idiopathic Inflammatory Myositis: The GAP-ILD Model
title_full Predicting Survival Across Acute Exacerbation of Interstitial Lung Disease in Patients with Idiopathic Inflammatory Myositis: The GAP-ILD Model
title_fullStr Predicting Survival Across Acute Exacerbation of Interstitial Lung Disease in Patients with Idiopathic Inflammatory Myositis: The GAP-ILD Model
title_full_unstemmed Predicting Survival Across Acute Exacerbation of Interstitial Lung Disease in Patients with Idiopathic Inflammatory Myositis: The GAP-ILD Model
title_short Predicting Survival Across Acute Exacerbation of Interstitial Lung Disease in Patients with Idiopathic Inflammatory Myositis: The GAP-ILD Model
title_sort predicting survival across acute exacerbation of interstitial lung disease in patients with idiopathic inflammatory myositis: the gap-ild model
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695794/
https://www.ncbi.nlm.nih.gov/pubmed/33106937
http://dx.doi.org/10.1007/s40744-020-00244-1
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