A simple and easily implemented risk model to predict 1-year ischemic stroke and systemic embolism in Chinese patients with atrial fibrillation

Abstract. Background:. Accurate prediction of ischemic stroke is required for deciding anticoagulation use in patients with atrial fibrillation (AF). Even though only 6% to 8% of AF patients die from stroke, about 90% are indicated for anticoagulants according to the current AF management guidelines...

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Main Authors: Chao Jiang, Tian-Ge Chen, Xin Du, Xiang Li, Liu He, Yi-Wei Lai, Shi-Jun Xia, Rong Liu, Yi-Ying Hu, Ying-Xue Li, Chen-Xi Jiang, Nian Liu, Ri-Bo Tang, Rong Bai, Cai-Hua Sang, De-Yong Long, Guo-Tong Xie, Jian-Zeng Dong, Chang-Sheng Ma, Jing Ni
Format: Article
Language:English
Published: Wolters Kluwer 2021-10-01
Series:Chinese Medical Journal
Online Access:http://journals.lww.com/10.1097/CM9.0000000000001515
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author Chao Jiang
Tian-Ge Chen
Xin Du
Xiang Li
Liu He
Yi-Wei Lai
Shi-Jun Xia
Rong Liu
Yi-Ying Hu
Ying-Xue Li
Chen-Xi Jiang
Nian Liu
Ri-Bo Tang
Rong Bai
Cai-Hua Sang
De-Yong Long
Guo-Tong Xie
Jian-Zeng Dong
Chang-Sheng Ma
Jing Ni
author_facet Chao Jiang
Tian-Ge Chen
Xin Du
Xiang Li
Liu He
Yi-Wei Lai
Shi-Jun Xia
Rong Liu
Yi-Ying Hu
Ying-Xue Li
Chen-Xi Jiang
Nian Liu
Ri-Bo Tang
Rong Bai
Cai-Hua Sang
De-Yong Long
Guo-Tong Xie
Jian-Zeng Dong
Chang-Sheng Ma
Jing Ni
author_sort Chao Jiang
collection DOAJ
description Abstract. Background:. Accurate prediction of ischemic stroke is required for deciding anticoagulation use in patients with atrial fibrillation (AF). Even though only 6% to 8% of AF patients die from stroke, about 90% are indicated for anticoagulants according to the current AF management guidelines. Therefore, we aimed to develop an accurate and easy-to-use new risk model for 1-year thromboembolic events (TEs) in Chinese AF patients. Methods:. From the prospective China Atrial Fibrillation Registry cohort study, we identified 6601 AF patients who were not treated with anticoagulation or ablation at baseline. We selected the most important variables by the extreme gradient boosting (XGBoost) algorithm and developed a simplified risk model for predicting 1-year TEs. The novel risk score was internally validated using bootstrapping with 1000 replicates and compared with the CHA2DS2-VA score (excluding female sex from the CHA2DS2-VASc score). Results:. Up to the follow-up of 1 year, 163 TEs (ischemic stroke or systemic embolism) occurred. Using the XGBoost algorithm, we selected the three most important variables (congestive heart failure or left ventricular dysfunction, age, and prior stroke, abbreviated as CAS model) to predict 1-year TE risk. We trained a multivariate Cox regression model and assigned point scores proportional to model coefficients. The CAS scheme classified 30.8% (2033/6601) of the patients as low risk for TE (CAS score = 0), with a corresponding 1-year TE risk of 0.81% (95% confidence interval [CI]: 0.41%–1.19%). In our cohort, the C-statistic of CAS model was 0.69 (95% CI: 0.65–0.73), higher than that of CHA2DS2-VA score (0.66, 95% CI: 0.62–0.70, Z = 2.01, P = 0.045). The overall net reclassification improvement from CHA2DS2-VA categories (low = 0/high ≥1) to CAS categories (low = 0/high ≥1) was 12.2% (95% CI: 8.7%–15.7%). Conclusion:. In Chinese AF patients, a novel and simple CAS risk model better predicted 1-year TEs than the widely-used CHA2DS2-VA risk score and identified a large proportion of patients with low risk of TEs, which could potentially improve anticoagulation decision-making. Trial Registration:. www.chictr.org.cn (Unique identifier No. ChiCTR-OCH-13003729).
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spelling doaj.art-a478ddc0455b474aa71e36e1c539b66b2022-12-21T19:29:53ZengWolters KluwerChinese Medical Journal0366-69992542-56412021-10-01134192293229810.1097/CM9.0000000000001515202110050-00006A simple and easily implemented risk model to predict 1-year ischemic stroke and systemic embolism in Chinese patients with atrial fibrillationChao JiangTian-Ge ChenXin DuXiang LiLiu HeYi-Wei LaiShi-Jun XiaRong LiuYi-Ying HuYing-Xue LiChen-Xi JiangNian LiuRi-Bo TangRong BaiCai-Hua SangDe-Yong LongGuo-Tong XieJian-Zeng DongChang-Sheng MaJing NiAbstract. Background:. Accurate prediction of ischemic stroke is required for deciding anticoagulation use in patients with atrial fibrillation (AF). Even though only 6% to 8% of AF patients die from stroke, about 90% are indicated for anticoagulants according to the current AF management guidelines. Therefore, we aimed to develop an accurate and easy-to-use new risk model for 1-year thromboembolic events (TEs) in Chinese AF patients. Methods:. From the prospective China Atrial Fibrillation Registry cohort study, we identified 6601 AF patients who were not treated with anticoagulation or ablation at baseline. We selected the most important variables by the extreme gradient boosting (XGBoost) algorithm and developed a simplified risk model for predicting 1-year TEs. The novel risk score was internally validated using bootstrapping with 1000 replicates and compared with the CHA2DS2-VA score (excluding female sex from the CHA2DS2-VASc score). Results:. Up to the follow-up of 1 year, 163 TEs (ischemic stroke or systemic embolism) occurred. Using the XGBoost algorithm, we selected the three most important variables (congestive heart failure or left ventricular dysfunction, age, and prior stroke, abbreviated as CAS model) to predict 1-year TE risk. We trained a multivariate Cox regression model and assigned point scores proportional to model coefficients. The CAS scheme classified 30.8% (2033/6601) of the patients as low risk for TE (CAS score = 0), with a corresponding 1-year TE risk of 0.81% (95% confidence interval [CI]: 0.41%–1.19%). In our cohort, the C-statistic of CAS model was 0.69 (95% CI: 0.65–0.73), higher than that of CHA2DS2-VA score (0.66, 95% CI: 0.62–0.70, Z = 2.01, P = 0.045). The overall net reclassification improvement from CHA2DS2-VA categories (low = 0/high ≥1) to CAS categories (low = 0/high ≥1) was 12.2% (95% CI: 8.7%–15.7%). Conclusion:. In Chinese AF patients, a novel and simple CAS risk model better predicted 1-year TEs than the widely-used CHA2DS2-VA risk score and identified a large proportion of patients with low risk of TEs, which could potentially improve anticoagulation decision-making. Trial Registration:. www.chictr.org.cn (Unique identifier No. ChiCTR-OCH-13003729).http://journals.lww.com/10.1097/CM9.0000000000001515
spellingShingle Chao Jiang
Tian-Ge Chen
Xin Du
Xiang Li
Liu He
Yi-Wei Lai
Shi-Jun Xia
Rong Liu
Yi-Ying Hu
Ying-Xue Li
Chen-Xi Jiang
Nian Liu
Ri-Bo Tang
Rong Bai
Cai-Hua Sang
De-Yong Long
Guo-Tong Xie
Jian-Zeng Dong
Chang-Sheng Ma
Jing Ni
A simple and easily implemented risk model to predict 1-year ischemic stroke and systemic embolism in Chinese patients with atrial fibrillation
Chinese Medical Journal
title A simple and easily implemented risk model to predict 1-year ischemic stroke and systemic embolism in Chinese patients with atrial fibrillation
title_full A simple and easily implemented risk model to predict 1-year ischemic stroke and systemic embolism in Chinese patients with atrial fibrillation
title_fullStr A simple and easily implemented risk model to predict 1-year ischemic stroke and systemic embolism in Chinese patients with atrial fibrillation
title_full_unstemmed A simple and easily implemented risk model to predict 1-year ischemic stroke and systemic embolism in Chinese patients with atrial fibrillation
title_short A simple and easily implemented risk model to predict 1-year ischemic stroke and systemic embolism in Chinese patients with atrial fibrillation
title_sort simple and easily implemented risk model to predict 1 year ischemic stroke and systemic embolism in chinese patients with atrial fibrillation
url http://journals.lww.com/10.1097/CM9.0000000000001515
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