Krittayaphong Rungroj, Winijkul Arjbordin, Sairat Poom, Lip Gregory Y H
Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, Bangkok 10700, Thailand.
Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool L14 3PE, UK.
J Clin Med. 2023 Mar 23;12(7):2449. doi: 10.3390/jcm12072449.
The aims of this study were (1) to validate the CARS and mCARS methods in an Asian population with atrial fibrillation (AF) and (2) to compare the CARS and mCARS models for absolute risk using the COOL-AF method and CHADSVASc scores for the prediction of ischemic stroke or systemic embolism (SSE).
We analyzed the results from a prospective nationwide multicenter AF registry. Follow-up data were collected for 3 years. The main outcomes were SSE. Predictive models of the 3-year SSE of the COOL-AF model, the CHADSVASc score, the CARS for the no-OAC group, and the mCARS for the OAC group were developed and evaluated by C-statistics, and calibration plots were created for the whole group, as well as for oral anticoagulant (OAC) users and no-OAC patients.
We studied 3405 patients (mean age: 67.8 years; 58.2% male, 75.4% OAC). The incidence rates of SSE were 1.51 (1.26-1.78), 1.93 (1.39-2.60), and 1.37 (1.10-1.68) for all patients, no-OAC patients, and OAC patients, respectively. For the whole population, the COOL-AF score had a C-statistic of 0.697 (0.682-0.713), which was superior to the CHADS-VASc [0.655 (0.639-0.671)]. For the no-OAC group, the CARS predicted SSE with a C-statistic of 0.685 (0.652-0.716), which was similar to the CHADS-VASc [0.684 (0.651-0.7150] and COOL-AF models [0.692 (0.659-0.723)]. For the OAC group, the mCARS had a C-statistic of 0.687 (0.669-0.705) that was similar to the COOL-AF [0.704 (0.686-0.721)] and better than the CHADS-VASc score [0.655 (0.637-0.674)].
The calculation of the individual absolute risks using the CARS and mCARS models can predict SSE in an Asian population. Small differences were evident between the COOL-AF and CHADS-VASc scores.
本研究的目的是:(1)在亚洲房颤(AF)患者群体中验证CARS和mCARS方法;(2)使用COOL-AF方法以及CHADSVASc评分比较CARS和mCARS模型在预测缺血性卒中或全身性栓塞(SSE)方面的绝对风险。
我们分析了一项前瞻性全国多中心房颤登记研究的结果。收集了3年的随访数据。主要结局为SSE。通过C统计量建立并评估了COOL-AF模型、CHADSVASc评分、非口服抗凝剂(OAC)组的CARS以及OAC组的mCARS对3年SSE的预测模型,并为整个研究群体以及口服抗凝剂(OAC)使用者和非OAC患者绘制了校准图。
我们研究了3405例患者(平均年龄:67.8岁;男性占58.2%,OAC使用者占75.4%)。所有患者、非OAC患者和OAC患者的SSE发生率分别为1.51(1.26 - 1.78)、1.93(1.39 - 2.60)和1.37(1.10 - 1.68)。对于整个研究群体,COOL-AF评分的C统计量为0.697(0.682 - 0.713),优于CHADS-VASc评分[0.655(0.639 - 0.671)]。对于非OAC组,CARS预测SSE的C统计量为0.685(0.652 - 0.716),与CHADS-VASc评分[0.684(0.651 - 0.7150)]和COOL-AF模型[0.692(0.659 - 0.723)]相似。对于OAC组,mCARS的C统计量为0.687(0.669 - 0.705),与COOL-AF评分[0.704(0.686 - 0.721)]相似且优于CHADS-VASc评分[0.655(0.637 - 0.674)]。
使用CARS和mCARS模型计算个体绝对风险能够预测亚洲人群中的SSE。COOL-AF评分和CHADS-VASc评分之间存在明显的细微差异。