{"title":"预测系统性红斑狼疮患者发生心脑血管事件的风险:中国系统性红斑狼疮治疗与研究小组第二十六次研究。","authors":"Can Huang, Yutong Li, Ziqian Wang, Shudian Lin, Jiu-Liang Zhao, Qian Wang, Xinping Tian, Yanhong Wang, Xinwang Duan, Yongfu Wang, Cheng Zhao, Zhenbiao Wu, Jian Xu, Chen Han, Min Yang, Rui Wu, Xiaofeng Zeng, Mengtao Li","doi":"10.1136/rmdopen-2024-004425","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Patients with systemic lupus erythematosus (SLE) have an increased risk of cardiovascular and cerebrovascular events (CCEs). Furthermore, CCE was a significant factor contributing to mortality in patients with SLE. However, no clinical model exists that can predict which patients are at high risk. The purpose of this study was to develop a practical model for predicting the risk of CCE in people with SLE.</p><p><strong>Methods: </strong>This study was based on the Chinese SLE Treatment and Research Group cohort. A total of 2399 patients, who had a follow-up period of over 3 years and were diagnosed with SLE for less than 1 year at the start of the study, were included. Cox proportional hazards regression and least absolute shrinkage and selection operator regression were used to establish the model. Internal validation was performed, and the predictive power of the model was evaluated.</p><p><strong>Results: </strong>During the follow-up period, 93 patients had CCEs. The prediction model included nine variables: male gender, smoking, hypertension, age of SLE onset >40, cutaneous involvement, arthritis, anti-β2GP1 antibody positivity, high-dose glucocorticoids and hydroxychloroquine usage. The model's C index was 0.801. Patients with a prognostic index over 0.544 were classified into the high-risk group.</p><p><strong>Conclusion: </strong>We have developed a predictive model that uses clinical indicators to assess the probability of CCE in patients diagnosed with SLE. This model has the ability to precisely predict the risk of CCE in patients with SLE. We recommended using this model in the routine assessment of patients with SLE.</p>","PeriodicalId":21396,"journal":{"name":"RMD Open","volume":null,"pages":null},"PeriodicalIF":5.1000,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11418496/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predicting the risk of cardiovascular and cerebrovascular event in systemic lupus erythematosus: a Chinese SLE treatment and research group study XXVI.\",\"authors\":\"Can Huang, Yutong Li, Ziqian Wang, Shudian Lin, Jiu-Liang Zhao, Qian Wang, Xinping Tian, Yanhong Wang, Xinwang Duan, Yongfu Wang, Cheng Zhao, Zhenbiao Wu, Jian Xu, Chen Han, Min Yang, Rui Wu, Xiaofeng Zeng, Mengtao Li\",\"doi\":\"10.1136/rmdopen-2024-004425\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Patients with systemic lupus erythematosus (SLE) have an increased risk of cardiovascular and cerebrovascular events (CCEs). Furthermore, CCE was a significant factor contributing to mortality in patients with SLE. However, no clinical model exists that can predict which patients are at high risk. The purpose of this study was to develop a practical model for predicting the risk of CCE in people with SLE.</p><p><strong>Methods: </strong>This study was based on the Chinese SLE Treatment and Research Group cohort. A total of 2399 patients, who had a follow-up period of over 3 years and were diagnosed with SLE for less than 1 year at the start of the study, were included. Cox proportional hazards regression and least absolute shrinkage and selection operator regression were used to establish the model. Internal validation was performed, and the predictive power of the model was evaluated.</p><p><strong>Results: </strong>During the follow-up period, 93 patients had CCEs. The prediction model included nine variables: male gender, smoking, hypertension, age of SLE onset >40, cutaneous involvement, arthritis, anti-β2GP1 antibody positivity, high-dose glucocorticoids and hydroxychloroquine usage. The model's C index was 0.801. Patients with a prognostic index over 0.544 were classified into the high-risk group.</p><p><strong>Conclusion: </strong>We have developed a predictive model that uses clinical indicators to assess the probability of CCE in patients diagnosed with SLE. This model has the ability to precisely predict the risk of CCE in patients with SLE. We recommended using this model in the routine assessment of patients with SLE.</p>\",\"PeriodicalId\":21396,\"journal\":{\"name\":\"RMD Open\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11418496/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"RMD Open\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/rmdopen-2024-004425\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RHEUMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"RMD Open","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/rmdopen-2024-004425","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
Predicting the risk of cardiovascular and cerebrovascular event in systemic lupus erythematosus: a Chinese SLE treatment and research group study XXVI.
Objective: Patients with systemic lupus erythematosus (SLE) have an increased risk of cardiovascular and cerebrovascular events (CCEs). Furthermore, CCE was a significant factor contributing to mortality in patients with SLE. However, no clinical model exists that can predict which patients are at high risk. The purpose of this study was to develop a practical model for predicting the risk of CCE in people with SLE.
Methods: This study was based on the Chinese SLE Treatment and Research Group cohort. A total of 2399 patients, who had a follow-up period of over 3 years and were diagnosed with SLE for less than 1 year at the start of the study, were included. Cox proportional hazards regression and least absolute shrinkage and selection operator regression were used to establish the model. Internal validation was performed, and the predictive power of the model was evaluated.
Results: During the follow-up period, 93 patients had CCEs. The prediction model included nine variables: male gender, smoking, hypertension, age of SLE onset >40, cutaneous involvement, arthritis, anti-β2GP1 antibody positivity, high-dose glucocorticoids and hydroxychloroquine usage. The model's C index was 0.801. Patients with a prognostic index over 0.544 were classified into the high-risk group.
Conclusion: We have developed a predictive model that uses clinical indicators to assess the probability of CCE in patients diagnosed with SLE. This model has the ability to precisely predict the risk of CCE in patients with SLE. We recommended using this model in the routine assessment of patients with SLE.
期刊介绍:
RMD Open publishes high quality peer-reviewed original research covering the full spectrum of musculoskeletal disorders, rheumatism and connective tissue diseases, including osteoporosis, spine and rehabilitation. Clinical and epidemiological research, basic and translational medicine, interesting clinical cases, and smaller studies that add to the literature are all considered.