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Predicting cardiovascular risk in a Chinese primary Sjögren's syndrome population: development and assessment of a
Jincheng Pu1, Jiamin Song1, Shengnan Pan1
1Department of Rheumatology and Immunology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Insights
Patients with primary Sjögren's syndrome (pSS) face higher cardiovascular risks. A new nomogram identifies key risk factors like joint pain, dry mouth, and elevated TSH, aiding in early cardiovascular event prediction and treatment guidance.
Area of Science:
- Rheumatology
- Cardiology
- Medical Informatics
Background:
- Primary Sjögren's syndrome (pSS) patients exhibit increased cardiovascular morbidity compared to the general population.
- Identifying specific risk factors for cardiovascular events in pSS is crucial for proactive management.
Purpose of the Study:
- To identify potential risk factors for cardiovascular events in Chinese patients with pSS.
- To develop and validate a predictive cardiovascular risk nomogram for pSS patients.
Main Methods:
- Retrospective observational study of 349 pSS patients diagnosed between 2010 and 2022.
- Utilized Least Absolute Shrinkage and Selection Operator (LASSO) for feature selection.
- Developed a multivariate logistic regression model, validated using C-index, ROC curves, calibration plots, and decision curve analysis.
Main Results:
- A nomogram was developed incorporating sex, joint pain, dry mouth, oral ulcers, dental caries, Raynaud's phenomenon, fatigue, diabetes, elevated TSH, and systolic blood pressure.
- The model demonstrated good discrimination (C-index: 0.824) and calibration (internal validation C-index: 0.8).
- Decision curve analysis confirmed clinical utility for interventions at a 3% cardiovascular disease probability threshold.
Conclusions:
- A validated cardiovascular risk nomogram can predict cardiovascular risk in pSS patients.
- The nomogram, including identified clinical and laboratory factors, can guide further treatment strategies for pSS patients.
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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