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Predicting cardiovascular risk in a Chinese primary Sjögren’s syndrome population: development and assessment of a predictive nomogram

BACKGROUND: Patients with primary Sjögren’s syndrome (pSS) are at increased risk of cardiovascular morbidity as compared with the general population. OBJECTIVES: A retrospective study on 349 Chinese patients with pSS was conducted to identify potential risk factors for cardiovascular events and deve...

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Autores principales: Pu, Jincheng, Song, Jiamin, Pan, Shengnan, Zhuang, Shuqi, Gao, Ronglin, Liang, Yuanyuan, Wu, Zhenzhen, Wang, Yanqing, Zhang, Youwei, Yang, Lufei, Han, Fang, Wu, Huihong, Tang, Jianping, Wang, Xuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357044/
https://www.ncbi.nlm.nih.gov/pubmed/37485232
http://dx.doi.org/10.1177/20406223231181490
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author Pu, Jincheng
Song, Jiamin
Pan, Shengnan
Zhuang, Shuqi
Gao, Ronglin
Liang, Yuanyuan
Wu, Zhenzhen
Wang, Yanqing
Zhang, Youwei
Yang, Lufei
Han, Fang
Wu, Huihong
Tang, Jianping
Wang, Xuan
author_facet Pu, Jincheng
Song, Jiamin
Pan, Shengnan
Zhuang, Shuqi
Gao, Ronglin
Liang, Yuanyuan
Wu, Zhenzhen
Wang, Yanqing
Zhang, Youwei
Yang, Lufei
Han, Fang
Wu, Huihong
Tang, Jianping
Wang, Xuan
author_sort Pu, Jincheng
collection PubMed
description BACKGROUND: Patients with primary Sjögren’s syndrome (pSS) are at increased risk of cardiovascular morbidity as compared with the general population. OBJECTIVES: A retrospective study on 349 Chinese patients with pSS was conducted to identify potential risk factors for cardiovascular events and develop a cardiovascular risk nomogram. DESIGN: This is a retrospective observational study. METHODS: The study included 349 patients who were diagnosed with pSS at Tongji Hospital, School of Medicine, Tongji University, China from January 2010 to March 2022. The least absolute shrinkage and selection operator (LASSO) was used to select features for the cardiovascular risk model. The features selected in LASSO were used to build the cardiovascular risk model in a multivariate logistic regression analysis. C-index, receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis were used to assess the predictive model. Internal validation was performed by bootstrapping. RESULTS: Sex, joint pain as an initial symptom, dry mouth, oral ulcers, dental caries, Raynaud’s phenomenon, fatigue, diabetes, elevated thyroid-stimulating hormone (TSH) level, and elevated systolic blood pressure were included in the nomogram for the prediction of cardiovascular risk. Our model had good discrimination (C-index: 0.824, 95% confidence interval: 0.712–0.936) and good calibration (C-index in the interval validation: 0.8). Decision curve analysis indicated that our nomogram demonstrated clinical usefulness for intervention in a cardiovascular disease possibility threshold of 3%. CONCLUSION: The cardiovascular risk nomogram incorporating sex, initial joint pain, dry mouth, oral ulcer, dental caries, Raynaud’s phenomenon, fatigue, diabetes, elevated TSH, and systolic blood pressure could be used in the prediction of cardiovascular risk in patients with pSS and the guidance of further treatment.
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spelling pubmed-103570442023-07-21 Predicting cardiovascular risk in a Chinese primary Sjögren’s syndrome population: development and assessment of a predictive nomogram Pu, Jincheng Song, Jiamin Pan, Shengnan Zhuang, Shuqi Gao, Ronglin Liang, Yuanyuan Wu, Zhenzhen Wang, Yanqing Zhang, Youwei Yang, Lufei Han, Fang Wu, Huihong Tang, Jianping Wang, Xuan Ther Adv Chronic Dis Original Research BACKGROUND: Patients with primary Sjögren’s syndrome (pSS) are at increased risk of cardiovascular morbidity as compared with the general population. OBJECTIVES: A retrospective study on 349 Chinese patients with pSS was conducted to identify potential risk factors for cardiovascular events and develop a cardiovascular risk nomogram. DESIGN: This is a retrospective observational study. METHODS: The study included 349 patients who were diagnosed with pSS at Tongji Hospital, School of Medicine, Tongji University, China from January 2010 to March 2022. The least absolute shrinkage and selection operator (LASSO) was used to select features for the cardiovascular risk model. The features selected in LASSO were used to build the cardiovascular risk model in a multivariate logistic regression analysis. C-index, receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis were used to assess the predictive model. Internal validation was performed by bootstrapping. RESULTS: Sex, joint pain as an initial symptom, dry mouth, oral ulcers, dental caries, Raynaud’s phenomenon, fatigue, diabetes, elevated thyroid-stimulating hormone (TSH) level, and elevated systolic blood pressure were included in the nomogram for the prediction of cardiovascular risk. Our model had good discrimination (C-index: 0.824, 95% confidence interval: 0.712–0.936) and good calibration (C-index in the interval validation: 0.8). Decision curve analysis indicated that our nomogram demonstrated clinical usefulness for intervention in a cardiovascular disease possibility threshold of 3%. CONCLUSION: The cardiovascular risk nomogram incorporating sex, initial joint pain, dry mouth, oral ulcer, dental caries, Raynaud’s phenomenon, fatigue, diabetes, elevated TSH, and systolic blood pressure could be used in the prediction of cardiovascular risk in patients with pSS and the guidance of further treatment. SAGE Publications 2023-07-18 /pmc/articles/PMC10357044/ /pubmed/37485232 http://dx.doi.org/10.1177/20406223231181490 Text en © The Author(s), 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Pu, Jincheng
Song, Jiamin
Pan, Shengnan
Zhuang, Shuqi
Gao, Ronglin
Liang, Yuanyuan
Wu, Zhenzhen
Wang, Yanqing
Zhang, Youwei
Yang, Lufei
Han, Fang
Wu, Huihong
Tang, Jianping
Wang, Xuan
Predicting cardiovascular risk in a Chinese primary Sjögren’s syndrome population: development and assessment of a predictive nomogram
title Predicting cardiovascular risk in a Chinese primary Sjögren’s syndrome population: development and assessment of a predictive nomogram
title_full Predicting cardiovascular risk in a Chinese primary Sjögren’s syndrome population: development and assessment of a predictive nomogram
title_fullStr Predicting cardiovascular risk in a Chinese primary Sjögren’s syndrome population: development and assessment of a predictive nomogram
title_full_unstemmed Predicting cardiovascular risk in a Chinese primary Sjögren’s syndrome population: development and assessment of a predictive nomogram
title_short Predicting cardiovascular risk in a Chinese primary Sjögren’s syndrome population: development and assessment of a predictive nomogram
title_sort predicting cardiovascular risk in a chinese primary sjögren’s syndrome population: development and assessment of a predictive nomogram
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357044/
https://www.ncbi.nlm.nih.gov/pubmed/37485232
http://dx.doi.org/10.1177/20406223231181490
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