Development of a scoring system with multidimensional markers for fibrosing interstitial lung disease

Abstract Fibrosing interstitial lung disease (ILD) can cause high mortality and sensitive evaluation of fibrosing ILD could be critical. The aim of this study is to develop a scoring system to predict prognosis of fibrosing ILD. 339 patients with fibrosing ILD were enrolled as a derivation cohort. C...

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Main Authors: Shenyun Shi, Lulu Chen, Xiaoqin Liu, Min Yu, Chao Wu, Yonglong Xiao
Format: Article
Language:English
Published: Nature Portfolio 2022-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-16382-1
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author Shenyun Shi
Lulu Chen
Xiaoqin Liu
Min Yu
Chao Wu
Yonglong Xiao
author_facet Shenyun Shi
Lulu Chen
Xiaoqin Liu
Min Yu
Chao Wu
Yonglong Xiao
author_sort Shenyun Shi
collection DOAJ
description Abstract Fibrosing interstitial lung disease (ILD) can cause high mortality and sensitive evaluation of fibrosing ILD could be critical. The aim of this study is to develop a scoring system to predict prognosis of fibrosing ILD. 339 patients with fibrosing ILD were enrolled as a derivation cohort. Cox multiple regression analysis indicated that smoking history (HR  =  3.826, p  =  0.001), age(HR  =  1.043, p  =  0.015), CEA(HR  =  1.059, p  =  0.049),CYFRA21-1(HR  =  1.177, p  =  0.004) and DLCO% predicted (HR  =  0.979, p  =  0.032) were independent prognostic factors for fibrosing ILD. The clinical scoring system for fibrosing ILD was established based on the clinical variables (age [A], CEA and CYFRA21-1 [C], DLCO% predicted [D], and smoking history [S]; ACDS). The area under the receiver operating characteristic curve (AUROC) of the scoring system for predicting prognosis of fibrosing ILD was 0.90 (95%CI: 0.87–0.94, p < 0.001). The cutoff value was 2.5 with their corresponding specificity (90.7%) and sensitivity (78.8%). To validate the value of ACDS score levels to predict the survival of patients with fibrosing ILD, 98 additional fibrosing ILD patients were included as a validation cohort. The log-rank test showed a significant difference in survival between the two groups(ACDS score < 2.5 and ACDS score ≥ 2.5) in validation cohort. The independent risk factors for mortality in patients with fibrosing ILD are higher CEA, higher CYFRA21-1, smoking history, lower DLCO%predicted at baseline and older age. ACDS is a simple and feasible clinical model for predicting survival of fibrosing ILD.
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spelling doaj.art-68b7c7ad638f424a9dedc93652fe62fd2022-12-22T04:01:24ZengNature PortfolioScientific Reports2045-23222022-08-011211710.1038/s41598-022-16382-1Development of a scoring system with multidimensional markers for fibrosing interstitial lung diseaseShenyun Shi0Lulu Chen1Xiaoqin Liu2Min Yu3Chao Wu4Yonglong Xiao5Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical UniversityDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical UniversityDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical SchoolDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical UniversityDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical UniversityDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical UniversityAbstract Fibrosing interstitial lung disease (ILD) can cause high mortality and sensitive evaluation of fibrosing ILD could be critical. The aim of this study is to develop a scoring system to predict prognosis of fibrosing ILD. 339 patients with fibrosing ILD were enrolled as a derivation cohort. Cox multiple regression analysis indicated that smoking history (HR  =  3.826, p  =  0.001), age(HR  =  1.043, p  =  0.015), CEA(HR  =  1.059, p  =  0.049),CYFRA21-1(HR  =  1.177, p  =  0.004) and DLCO% predicted (HR  =  0.979, p  =  0.032) were independent prognostic factors for fibrosing ILD. The clinical scoring system for fibrosing ILD was established based on the clinical variables (age [A], CEA and CYFRA21-1 [C], DLCO% predicted [D], and smoking history [S]; ACDS). The area under the receiver operating characteristic curve (AUROC) of the scoring system for predicting prognosis of fibrosing ILD was 0.90 (95%CI: 0.87–0.94, p < 0.001). The cutoff value was 2.5 with their corresponding specificity (90.7%) and sensitivity (78.8%). To validate the value of ACDS score levels to predict the survival of patients with fibrosing ILD, 98 additional fibrosing ILD patients were included as a validation cohort. The log-rank test showed a significant difference in survival between the two groups(ACDS score < 2.5 and ACDS score ≥ 2.5) in validation cohort. The independent risk factors for mortality in patients with fibrosing ILD are higher CEA, higher CYFRA21-1, smoking history, lower DLCO%predicted at baseline and older age. ACDS is a simple and feasible clinical model for predicting survival of fibrosing ILD.https://doi.org/10.1038/s41598-022-16382-1
spellingShingle Shenyun Shi
Lulu Chen
Xiaoqin Liu
Min Yu
Chao Wu
Yonglong Xiao
Development of a scoring system with multidimensional markers for fibrosing interstitial lung disease
Scientific Reports
title Development of a scoring system with multidimensional markers for fibrosing interstitial lung disease
title_full Development of a scoring system with multidimensional markers for fibrosing interstitial lung disease
title_fullStr Development of a scoring system with multidimensional markers for fibrosing interstitial lung disease
title_full_unstemmed Development of a scoring system with multidimensional markers for fibrosing interstitial lung disease
title_short Development of a scoring system with multidimensional markers for fibrosing interstitial lung disease
title_sort development of a scoring system with multidimensional markers for fibrosing interstitial lung disease
url https://doi.org/10.1038/s41598-022-16382-1
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