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Development and assessment of a predictive model for early diagnosis of rheumatoid arthritis in southwest China: A new nomogram

Rheumatoid arthritis (RA) is a disease complicated with inflammatory synovitis, which seriously affects the life quality of patients. Early diagnosis is important for prognosis of RA. Here, we aimed to develop and assess a model for early diagnosis of RA in southwest China. A nomogram including 44 p...

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Autores principales: Zhang, Naidan, Ji, Chaixia, Bao, Xiao, Yuan, Chengliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036016/
https://www.ncbi.nlm.nih.gov/pubmed/36961142
http://dx.doi.org/10.1097/MD.0000000000033386
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author Zhang, Naidan
Ji, Chaixia
Bao, Xiao
Yuan, Chengliang
author_facet Zhang, Naidan
Ji, Chaixia
Bao, Xiao
Yuan, Chengliang
author_sort Zhang, Naidan
collection PubMed
description Rheumatoid arthritis (RA) is a disease complicated with inflammatory synovitis, which seriously affects the life quality of patients. Early diagnosis is important for prognosis of RA. Here, we aimed to develop and assess a model for early diagnosis of RA in southwest China. A nomogram including 44 patients with an early diagnosis of RA was developed. Variables were filtered by least absolute contraction selection operator and multiple logistic regression. The efficiency and clinical application range were evaluated. This nomogram showed that rheumatoid factor, erythrocyte sedimentation rate, RA33, facet joint and knee joint had high positive predictive value for RA. The area under curve was 0.920 [95% confidence interval (CI): 0.865–0.975]. In the validation model, area under curve was 0.942 (95% CI: 0.893–0.991). Calibration and decision curve suggested that this nomogram was helpful within the threshold probability range of 0.02 to 1.00. Using this nomogram will help clinicians in the early diagnosis of RA. Laboratory indicators such as rheumatoid factor, erythrocyte sedimentation rate, RA33, and clinical symptoms such as morning stiffness, facet joint and knee joint are very important, which deserves the attention of clinicians.
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spelling pubmed-100360162023-03-24 Development and assessment of a predictive model for early diagnosis of rheumatoid arthritis in southwest China: A new nomogram Zhang, Naidan Ji, Chaixia Bao, Xiao Yuan, Chengliang Medicine (Baltimore) 3600 Rheumatoid arthritis (RA) is a disease complicated with inflammatory synovitis, which seriously affects the life quality of patients. Early diagnosis is important for prognosis of RA. Here, we aimed to develop and assess a model for early diagnosis of RA in southwest China. A nomogram including 44 patients with an early diagnosis of RA was developed. Variables were filtered by least absolute contraction selection operator and multiple logistic regression. The efficiency and clinical application range were evaluated. This nomogram showed that rheumatoid factor, erythrocyte sedimentation rate, RA33, facet joint and knee joint had high positive predictive value for RA. The area under curve was 0.920 [95% confidence interval (CI): 0.865–0.975]. In the validation model, area under curve was 0.942 (95% CI: 0.893–0.991). Calibration and decision curve suggested that this nomogram was helpful within the threshold probability range of 0.02 to 1.00. Using this nomogram will help clinicians in the early diagnosis of RA. Laboratory indicators such as rheumatoid factor, erythrocyte sedimentation rate, RA33, and clinical symptoms such as morning stiffness, facet joint and knee joint are very important, which deserves the attention of clinicians. Lippincott Williams & Wilkins 2023-03-24 /pmc/articles/PMC10036016/ /pubmed/36961142 http://dx.doi.org/10.1097/MD.0000000000033386 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle 3600
Zhang, Naidan
Ji, Chaixia
Bao, Xiao
Yuan, Chengliang
Development and assessment of a predictive model for early diagnosis of rheumatoid arthritis in southwest China: A new nomogram
title Development and assessment of a predictive model for early diagnosis of rheumatoid arthritis in southwest China: A new nomogram
title_full Development and assessment of a predictive model for early diagnosis of rheumatoid arthritis in southwest China: A new nomogram
title_fullStr Development and assessment of a predictive model for early diagnosis of rheumatoid arthritis in southwest China: A new nomogram
title_full_unstemmed Development and assessment of a predictive model for early diagnosis of rheumatoid arthritis in southwest China: A new nomogram
title_short Development and assessment of a predictive model for early diagnosis of rheumatoid arthritis in southwest China: A new nomogram
title_sort development and assessment of a predictive model for early diagnosis of rheumatoid arthritis in southwest china: a new nomogram
topic 3600
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036016/
https://www.ncbi.nlm.nih.gov/pubmed/36961142
http://dx.doi.org/10.1097/MD.0000000000033386
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