Cargando…

Risk Prediction for Rapidly Progressive Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis: The CRAFT Model

BACKGROUND: Anti-melanoma differentiation-associated protein 5-positive dermatomyositis (MDA5(+) DM) is characterized by a life-threatening complication of rapidly progressive interstitial lung disease (RP-ILD). Early prediction of RP-ILD can enhance diagnostic accuracy and therapeutic efficacy. Thi...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Jinqiang, Mei, Chunli, Yu, Qi, Huang, Anbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281065/
https://www.ncbi.nlm.nih.gov/pubmed/37317506
http://dx.doi.org/10.12659/MSM.940251
_version_ 1785060932606492672
author Guo, Jinqiang
Mei, Chunli
Yu, Qi
Huang, Anbin
author_facet Guo, Jinqiang
Mei, Chunli
Yu, Qi
Huang, Anbin
author_sort Guo, Jinqiang
collection PubMed
description BACKGROUND: Anti-melanoma differentiation-associated protein 5-positive dermatomyositis (MDA5(+) DM) is characterized by a life-threatening complication of rapidly progressive interstitial lung disease (RP-ILD). Early prediction of RP-ILD can enhance diagnostic accuracy and therapeutic efficacy. This study was conducted to develop a nomogram model for predicting RP-ILD in patients with MDA5(+) DM. MATERIAL/METHODS: We retrospectively analyzed 53 patients with MDA5(+) DM, of whom 21 patients were diagnosed with RP-ILD between January 2018 and January 2021. Univariate analysis (t test, Mann-Whitney U test, chi-squared test, or Fisher’s exact test) and receiver operating characteristic (ROC) analysis were used to select candidate variables. Multivariate logistic regression analysis was conducted to construct a prediction model, which was subsequently transformed into a nomogram. ROC analysis, calibration curve and decision curve analysis were performed to evaluate the model’s performance. The bootstrapping method (resampling=500) was used for internal validation. RESULTS: We successfully established a nomogram, called the CRAFT model, to predict RP-ILD in MDA5(+) DM patients. The model included 4 variables, namely C-reactive protein-to-albumin ratio, red blood cell distribution width-coefficient of variation, fever status, and CD3(+) T cells. The model presented high predictive power and a good performance in calibration curve and decision curve analysis. In addition, the model had a good predictive ability in internal validation. CONCLUSIONS: The CRAFT model could help to predict RP-ILD in patients with MDA5(+) DM.
format Online
Article
Text
id pubmed-10281065
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher International Scientific Literature, Inc.
record_format MEDLINE/PubMed
spelling pubmed-102810652023-06-21 Risk Prediction for Rapidly Progressive Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis: The CRAFT Model Guo, Jinqiang Mei, Chunli Yu, Qi Huang, Anbin Med Sci Monit Clinical Research BACKGROUND: Anti-melanoma differentiation-associated protein 5-positive dermatomyositis (MDA5(+) DM) is characterized by a life-threatening complication of rapidly progressive interstitial lung disease (RP-ILD). Early prediction of RP-ILD can enhance diagnostic accuracy and therapeutic efficacy. This study was conducted to develop a nomogram model for predicting RP-ILD in patients with MDA5(+) DM. MATERIAL/METHODS: We retrospectively analyzed 53 patients with MDA5(+) DM, of whom 21 patients were diagnosed with RP-ILD between January 2018 and January 2021. Univariate analysis (t test, Mann-Whitney U test, chi-squared test, or Fisher’s exact test) and receiver operating characteristic (ROC) analysis were used to select candidate variables. Multivariate logistic regression analysis was conducted to construct a prediction model, which was subsequently transformed into a nomogram. ROC analysis, calibration curve and decision curve analysis were performed to evaluate the model’s performance. The bootstrapping method (resampling=500) was used for internal validation. RESULTS: We successfully established a nomogram, called the CRAFT model, to predict RP-ILD in MDA5(+) DM patients. The model included 4 variables, namely C-reactive protein-to-albumin ratio, red blood cell distribution width-coefficient of variation, fever status, and CD3(+) T cells. The model presented high predictive power and a good performance in calibration curve and decision curve analysis. In addition, the model had a good predictive ability in internal validation. CONCLUSIONS: The CRAFT model could help to predict RP-ILD in patients with MDA5(+) DM. International Scientific Literature, Inc. 2023-06-15 /pmc/articles/PMC10281065/ /pubmed/37317506 http://dx.doi.org/10.12659/MSM.940251 Text en © Med Sci Monit, 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Clinical Research
Guo, Jinqiang
Mei, Chunli
Yu, Qi
Huang, Anbin
Risk Prediction for Rapidly Progressive Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis: The CRAFT Model
title Risk Prediction for Rapidly Progressive Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis: The CRAFT Model
title_full Risk Prediction for Rapidly Progressive Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis: The CRAFT Model
title_fullStr Risk Prediction for Rapidly Progressive Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis: The CRAFT Model
title_full_unstemmed Risk Prediction for Rapidly Progressive Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis: The CRAFT Model
title_short Risk Prediction for Rapidly Progressive Interstitial Lung Disease in Anti-MDA5-Positive Dermatomyositis: The CRAFT Model
title_sort risk prediction for rapidly progressive interstitial lung disease in anti-mda5-positive dermatomyositis: the craft model
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281065/
https://www.ncbi.nlm.nih.gov/pubmed/37317506
http://dx.doi.org/10.12659/MSM.940251
work_keys_str_mv AT guojinqiang riskpredictionforrapidlyprogressiveinterstitiallungdiseaseinantimda5positivedermatomyositisthecraftmodel
AT meichunli riskpredictionforrapidlyprogressiveinterstitiallungdiseaseinantimda5positivedermatomyositisthecraftmodel
AT yuqi riskpredictionforrapidlyprogressiveinterstitiallungdiseaseinantimda5positivedermatomyositisthecraftmodel
AT huanganbin riskpredictionforrapidlyprogressiveinterstitiallungdiseaseinantimda5positivedermatomyositisthecraftmodel