• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

评估心血管风险工具对系统性红斑狼疮患者心血管疾病事件的预测作用。

Assessment of cardiovascular risk tools as predictors of cardiovascular disease events in systemic lupus erythematosus.

机构信息

University of Toronto, Toronto, Ontario, Canada.

Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada.

出版信息

Lupus Sci Med. 2021 May;8(1). doi: 10.1136/lupus-2020-000448.

DOI:10.1136/lupus-2020-000448
PMID:34045359
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8162102/
Abstract

BACKGROUND

SLE is an independent risk factor for cardiovascular disease (CVD). This study aimed to determine which among QRISK2, QRISK3, Framingham Risk Score (FRS), modified Framingham Risk Score (mFRS) and SLE Cardiovascular Risk Equation (SLECRE) best predicts CVD.

METHODS

This is a single-centre analysis on 1887 patients with SLE followed prospectively according to a standard protocol. Tools' scores were evaluated against CVD development at/within 10 years for patients with CVD and without CVD. For patients with CVD, the index date for risk score calculation was chosen as close to 10 years prior to CVD event. For patients without CVD, risk scores were calculated as close to 10 years prior to the most recent clinic appointment. Proportions of low-risk (<10%), intermediate-risk (10%-20%) and high-risk (>20%) patients for developing CVD according to each tool were determined, allowing sensitivity, specificity, positive/negative predictive value and concordance (c) statistics analysis.

RESULTS

Among 1887 patients, 232 CVD events occurred. QRISK2 and FRS, and QRISK3 and mFRS, performed similarly. SLECRE classified the highest number of patients as intermediate and high risk. Sensitivities and specificities were 19% and 93% for QRISK2, 22% and 93% for FRS, 46% and 83% for mFRS, 47% and 78% for QRISK3, and 61% and 64% for SLECRE. Tools were similar in negative predictive value, ranging from 89% (QRISK2) to 92% (SLECRE). FRS and mFRS had the greatest c-statistics (0.73), while QRISK3 and SLECRE had the lowest (0. 67).

CONCLUSION

mFRS was superior to FRS and was not outperformed by the QRISK tools. SLECRE had the highest sensitivity but the lowest specificity. mFRS is an SLE-adjusted practical tool with a simple, intuitive scoring system reasonably appropriate for ambulatory settings, with more research needed to develop more accurate CVD risk prediction tools in this population.

摘要

背景

SLE 是心血管疾病(CVD)的独立危险因素。本研究旨在确定 QRISK2、QRISK3、Framingham 风险评分(FRS)、改良Framingham 风险评分(mFRS)和 SLE 心血管风险方程(SLECRE)中哪一个最能预测 CVD。

方法

这是一项对 1887 例接受前瞻性标准方案治疗的 SLE 患者进行的单中心分析。对有 CVD 和无 CVD 的患者进行 CVD 发病/10 年内工具评分评估。对于有 CVD 的患者,风险评分的计算日期选择为 CVD 事件前 10 年左右。对于无 CVD 的患者,风险评分计算为最近一次就诊前 10 年左右。根据每个工具确定发生 CVD 的低危(<10%)、中危(10%-20%)和高危(>20%)患者的比例,允许进行敏感性、特异性、阳性/阴性预测值和一致性(c)统计分析。

结果

在 1887 例患者中,发生 232 例 CVD 事件。QRISK2 和 FRS 以及 QRISK3 和 mFRS 的表现相似。SLECRE 将最高比例的患者归类为中危和高危。QRISK2 的敏感性和特异性分别为 19%和 93%,FRS 为 22%和 93%,mFRS 为 46%和 83%,QRISK3 为 47%和 78%,SLECRE 为 61%和 64%。阴性预测值相似,范围为 89%(QRISK2)至 92%(SLECRE)。FRS 和 mFRS 的 c 统计量最大(0.73),而 QRISK3 和 SLECRE 最小(0.67)。

结论

mFRS 优于 FRS,且不逊于 QRISK 工具。SLECRE 的敏感性最高,但特异性最低。mFRS 是一种 SLE 调整后的实用工具,具有简单直观的评分系统,在门诊环境中相当合理,需要更多研究来开发更适合该人群的 CVD 风险预测工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16a0/8162102/0645678473ef/lupus-2020-000448f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16a0/8162102/32c317b44952/lupus-2020-000448f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16a0/8162102/5534a7a82dc9/lupus-2020-000448f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16a0/8162102/0645678473ef/lupus-2020-000448f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16a0/8162102/32c317b44952/lupus-2020-000448f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16a0/8162102/5534a7a82dc9/lupus-2020-000448f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16a0/8162102/0645678473ef/lupus-2020-000448f03.jpg

相似文献

1
Assessment of cardiovascular risk tools as predictors of cardiovascular disease events in systemic lupus erythematosus.评估心血管风险工具对系统性红斑狼疮患者心血管疾病事件的预测作用。
Lupus Sci Med. 2021 May;8(1). doi: 10.1136/lupus-2020-000448.
2
Personalizing cardiovascular risk prediction for patients with systemic lupus erythematosus.为系统性红斑狼疮患者进行个体化心血管风险预测。
Semin Arthritis Rheum. 2024 Aug;67:152468. doi: 10.1016/j.semarthrit.2024.152468. Epub 2024 May 17.
3
Generic and disease-adapted cardiovascular risk scores as predictors of atherosclerosis progression in SLE.通用型和疾病适应型心血管风险评分作为 SLE 患者动脉粥样硬化进展的预测指标。
Lupus Sci Med. 2023 Mar;10(1). doi: 10.1136/lupus-2022-000864.
4
Modified Framingham Risk Factor Score for Systemic Lupus Erythematosus.系统性红斑狼疮的改良弗明汉姆风险因素评分
J Rheumatol. 2016 May;43(5):875-9. doi: 10.3899/jrheum.150983. Epub 2016 Feb 15.
5
Underperformance of clinical risk scores in identifying vascular ultrasound-based high cardiovascular risk in systemic lupus erythematosus.临床风险评分在识别系统性红斑狼疮患者基于血管超声的高心血管风险方面表现不佳。
Eur J Prev Cardiol. 2021 Apr 23;28(3):346-352. doi: 10.1093/eurjpc/zwaa256.
6
Assessing the validity of QRISK3 in predicting cardiovascular events in systemic lupus erythematosus.评估 QRISK3 在预测系统性红斑狼疮中心血管事件的有效性。
Lupus Sci Med. 2022 Feb;9(1). doi: 10.1136/lupus-2021-000564.
7
Assessment of QRISK3 as a predictor of cardiovascular disease events in type 2 diabetes mellitus.评估 QRISK3 在 2 型糖尿病患者心血管疾病事件中的预测作用。
Front Endocrinol (Lausanne). 2022 Nov 28;13:1077632. doi: 10.3389/fendo.2022.1077632. eCollection 2022.
8
QRISK3 improves detection of cardiovascular disease risk in patients with systemic lupus erythematosus.QRISK3可提高系统性红斑狼疮患者心血管疾病风险的检测率。
Lupus Sci Med. 2018 Aug 13;5(1):e000272. doi: 10.1136/lupus-2018-000272. eCollection 2018.
9
QRISK3-based analysis of cardiovascular risk factors in patients with long-term but well-controlled systemic lupus erythematosus.基于QRISK3对长期病情得到良好控制的系统性红斑狼疮患者心血管危险因素的分析。
Am J Transl Res. 2022 May 15;14(5):3247-3260. eCollection 2022.
10
Underperformance of clinical risk scores in identifying vascular ultrasound-based high cardiovascular risk in systemic lupus erythematosus.临床风险评分在识别系统性红斑狼疮中基于血管超声的高心血管风险方面表现不佳。
Eur J Prev Cardiol. 2020 Mar 2:2047487320906650. doi: 10.1177/2047487320906650.

引用本文的文献

1
'Information is power': A qualitative exploration of co-producing education resources about cardiovascular disease in partnership with women living with lupus.“信息就是力量”:与狼疮患者女性合作共同制作心血管疾病教育资源的质性探索
Womens Health (Lond). 2025 Jan-Dec;21:17455057251351736. doi: 10.1177/17455057251351736. Epub 2025 Jul 4.
2
A novel approach to cardiovascular events in patients with systemic lupus erythematosus: risk factor assessment and treatment analysis.系统性红斑狼疮患者心血管事件的一种新方法:危险因素评估与治疗分析。
Rheumatol Int. 2025 May 10;45(6):139. doi: 10.1007/s00296-025-05894-4.
3

本文引用的文献

1
Development of a systemic lupus erythematosus cardiovascular risk equation.系统性红斑狼疮心血管风险方程的开发。
Lupus Sci Med. 2019 Oct 10;6(1):e000346. doi: 10.1136/lupus-2019-000346. eCollection 2019.
2
Cardiovascular risk profiles in a lupus cohort: what do different calculators tell us?狼疮队列中的心血管风险概况:不同的风险评估工具能告诉我们什么?
Lupus Sci Med. 2017 Jul 28;4(1):e000212. doi: 10.1136/lupus-2017-000212. eCollection 2017.
3
Evolution of Risk Factors for Atherosclerotic Cardiovascular Events in Systemic Lupus Erythematosus: A Longterm Prospective Study.
Statin Use in Special Populations for the Prevention of Cardiovascular Disease in Adults.
成人特殊人群使用他汀类药物预防心血管疾病
Curr Atheroscler Rep. 2025 May 1;27(1):54. doi: 10.1007/s11883-025-01298-8.
4
Ocular markers of microangiopathy and their possible association with cardiovascular risk in patients with systemic inflammatory rheumatic diseases: a systematic review.系统性炎症性风湿疾病患者微血管病变的眼部标志物及其与心血管风险的可能关联:一项系统综述
Front Immunol. 2025 Apr 15;16:1543157. doi: 10.3389/fimmu.2025.1543157. eCollection 2025.
5
Cardio-Rheumatology Insights Into Hypertension: Intersection of Inflammation, Arteries, and Heart.高血压的心脏-风湿病学研究进展:炎症、动脉与心脏的交集。
Am J Hypertens. 2024 Nov 15;37(12):933-942. doi: 10.1093/ajh/hpae098.
6
Autoimmune diseases and atherosclerotic cardiovascular disease.自身免疫性疾病与动脉粥样硬化性心血管疾病。
Nat Rev Cardiol. 2024 Nov;21(11):780-807. doi: 10.1038/s41569-024-01045-7. Epub 2024 Jun 27.
7
Personalizing cardiovascular risk prediction for patients with systemic lupus erythematosus.为系统性红斑狼疮患者进行个体化心血管风险预测。
Semin Arthritis Rheum. 2024 Aug;67:152468. doi: 10.1016/j.semarthrit.2024.152468. Epub 2024 May 17.
8
Vascular damage in systemic lupus erythematosus.系统性红斑狼疮中的血管损伤。
Nat Rev Nephrol. 2024 Apr;20(4):251-265. doi: 10.1038/s41581-023-00797-8. Epub 2024 Jan 3.
9
Managing Cardiovascular Risk in Systemic Lupus Erythematosus: Considerations for the Clinician.系统性红斑狼疮患者心血管风险的管理:临床医生的考量
Immunotargets Ther. 2023 Dec 8;12:175-186. doi: 10.2147/ITT.S377076. eCollection 2023.
10
Cardiovascular risk assessment in patients with antiphospholipid syndrome: a cross-sectional performance analysis of nine clinical risk prediction tools.抗磷脂综合征患者的心血管风险评估:九种临床风险预测工具的横断面性能分析。
RMD Open. 2023 Nov 27;9(4):e003601. doi: 10.1136/rmdopen-2023-003601.
系统性红斑狼疮患者动脉粥样硬化性心血管事件危险因素的演变:一项长期前瞻性研究。
J Rheumatol. 2017 Dec;44(12):1841-1849. doi: 10.3899/jrheum.161121. Epub 2017 Nov 1.
4
Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study.用于估计心血管疾病未来风险的QRISK3风险预测算法的开发与验证:前瞻性队列研究
BMJ. 2017 May 23;357:j2099. doi: 10.1136/bmj.j2099.
5
Prevalence and associated factors of resting electrocardiogram abnormalities among systemic lupus erythematosus patients without cardiovascular disease.无心血管疾病的系统性红斑狼疮患者静息心电图异常的患病率及相关因素
Arthritis Res Ther. 2017 Feb 10;19(1):31. doi: 10.1186/s13075-017-1240-1.
6
2016 Canadian Cardiovascular Society Guidelines for the Management of Dyslipidemia for the Prevention of Cardiovascular Disease in the Adult.《2016年加拿大心血管学会成人血脂异常管理预防心血管疾病指南》
Can J Cardiol. 2016 Nov;32(11):1263-1282. doi: 10.1016/j.cjca.2016.07.510. Epub 2016 Jul 25.
7
Usefulness of the SF-36 Health Survey in screening for depressive and anxiety disorders in rheumatoid arthritis.SF-36健康调查在类风湿关节炎抑郁和焦虑障碍筛查中的效用
BMC Musculoskelet Disord. 2016 May 23;17:224. doi: 10.1186/s12891-016-1083-y.
8
Prediction models for cardiovascular disease risk in the general population: systematic review.普通人群心血管疾病风险预测模型:系统评价
BMJ. 2016 May 16;353:i2416. doi: 10.1136/bmj.i2416.
9
Modified Framingham Risk Factor Score for Systemic Lupus Erythematosus.系统性红斑狼疮的改良弗明汉姆风险因素评分
J Rheumatol. 2016 May;43(5):875-9. doi: 10.3899/jrheum.150983. Epub 2016 Feb 15.
10
2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.2013年美国心脏病学会/美国心脏协会心血管风险评估指南:美国心脏病学会/美国心脏协会实践指南工作组报告
Circulation. 2014 Jun 24;129(25 Suppl 2):S49-73. doi: 10.1161/01.cir.0000437741.48606.98. Epub 2013 Nov 12.