WATCH - DM和TRS - HFDM风险评分预测成人2型糖尿病心力衰竭住院风险的验证:一项多队列分析

M. Segar, Kershaw V. Patel, A. Hellkamp, M. Vaduganathan, Y. Lokhnygina, Jennifer B. Green, S. Wan, A. Kolkailah, R. Holman, E. Peterson, V. Kannan, D. Willett, D. McGuire, A. Pandey
{"title":"WATCH - DM和TRS - HFDM风险评分预测成人2型糖尿病心力衰竭住院风险的验证:一项多队列分析","authors":"M. Segar, Kershaw V. Patel, A. Hellkamp, M. Vaduganathan, Y. Lokhnygina, Jennifer B. Green, S. Wan, A. Kolkailah, R. Holman, E. Peterson, V. Kannan, D. Willett, D. McGuire, A. Pandey","doi":"10.1161/JAHA.121.024094","DOIUrl":null,"url":null,"abstract":"Background The WATCH‐DM (weight [body mass index], age, hypertension, creatinine, high‐density lipoprotein cholesterol, diabetes control [fasting plasma glucose], ECG QRS duration, myocardial infarction, and coronary artery bypass grafting) and TRS‐HFDM (Thrombolysis in Myocardial Infarction [TIMI] risk score for heart failure in diabetes) risk scores were developed to predict risk of heart failure (HF) among individuals with type 2 diabetes. WATCH‐DM was developed to predict incident HF, whereas TRS‐HFDM predicts HF hospitalization among patients with and without a prior HF history. We evaluated the model performance of both scores to predict incident HF events among patients with type 2 diabetes and no history of HF hospitalization across different cohorts and clinical settings with varying baseline risk. Methods and Results Incident HF risk was estimated by the integer‐based WATCH‐DM and TRS‐HFDM scores in participants with type 2 diabetes free of baseline HF from 2 randomized clinical trials (TECOS [Trial Evaluating Cardiovascular Outcomes With Sitagliptin], N=12 028; and Look AHEAD [Look Action for Health in Diabetes] trial, N=4867). The integer‐based WATCH‐DM score was also validated in electronic health record data from a single large health care system (N=7475). Model discrimination was assessed by the Harrell concordance index and calibration by the Greenwood‐Nam‐D’Agostino statistic. HF incidence rate was 7.5, 3.9, and 4.1 per 1000 person‐years in the TECOS, Look AHEAD trial, and electronic health record cohorts, respectively. Integer‐based WATCH‐DM and TRS‐HFDM scores had similar discrimination and calibration for predicting 5‐year HF risk in the Look AHEAD trial cohort (concordance indexes=0.70; Greenwood‐Nam‐D’Agostino P>0.30 for both). Both scores had lower discrimination and underpredicted HF risk in the TECOS cohort (concordance indexes=0.65 and 0.66, respectively; Greenwood‐Nam‐D’Agostino P<0.001 for both). In the electronic health record cohort, the integer‐based WATCH‐DM score demonstrated a concordance index of 0.73 with adequate calibration (Greenwood‐Nam‐D’Agostino P=0.96). TRS‐HFDM score could not be validated in the electronic health record because of unavailability of data on urine albumin/creatinine ratio in most patients in the contemporary clinical practice. Conclusions The WATCH‐DM and TRS‐HFDM risk scores can discriminate risk of HF among intermediate‐risk populations with type 2 diabetes.","PeriodicalId":17189,"journal":{"name":"Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Validation of the WATCH‐DM and TRS‐HFDM Risk Scores to Predict the Risk of Incident Hospitalization for Heart Failure Among Adults With Type 2 Diabetes: A Multicohort Analysis\",\"authors\":\"M. Segar, Kershaw V. Patel, A. Hellkamp, M. Vaduganathan, Y. Lokhnygina, Jennifer B. Green, S. Wan, A. Kolkailah, R. Holman, E. Peterson, V. Kannan, D. Willett, D. McGuire, A. Pandey\",\"doi\":\"10.1161/JAHA.121.024094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background The WATCH‐DM (weight [body mass index], age, hypertension, creatinine, high‐density lipoprotein cholesterol, diabetes control [fasting plasma glucose], ECG QRS duration, myocardial infarction, and coronary artery bypass grafting) and TRS‐HFDM (Thrombolysis in Myocardial Infarction [TIMI] risk score for heart failure in diabetes) risk scores were developed to predict risk of heart failure (HF) among individuals with type 2 diabetes. WATCH‐DM was developed to predict incident HF, whereas TRS‐HFDM predicts HF hospitalization among patients with and without a prior HF history. We evaluated the model performance of both scores to predict incident HF events among patients with type 2 diabetes and no history of HF hospitalization across different cohorts and clinical settings with varying baseline risk. Methods and Results Incident HF risk was estimated by the integer‐based WATCH‐DM and TRS‐HFDM scores in participants with type 2 diabetes free of baseline HF from 2 randomized clinical trials (TECOS [Trial Evaluating Cardiovascular Outcomes With Sitagliptin], N=12 028; and Look AHEAD [Look Action for Health in Diabetes] trial, N=4867). The integer‐based WATCH‐DM score was also validated in electronic health record data from a single large health care system (N=7475). Model discrimination was assessed by the Harrell concordance index and calibration by the Greenwood‐Nam‐D’Agostino statistic. HF incidence rate was 7.5, 3.9, and 4.1 per 1000 person‐years in the TECOS, Look AHEAD trial, and electronic health record cohorts, respectively. Integer‐based WATCH‐DM and TRS‐HFDM scores had similar discrimination and calibration for predicting 5‐year HF risk in the Look AHEAD trial cohort (concordance indexes=0.70; Greenwood‐Nam‐D’Agostino P>0.30 for both). Both scores had lower discrimination and underpredicted HF risk in the TECOS cohort (concordance indexes=0.65 and 0.66, respectively; Greenwood‐Nam‐D’Agostino P<0.001 for both). In the electronic health record cohort, the integer‐based WATCH‐DM score demonstrated a concordance index of 0.73 with adequate calibration (Greenwood‐Nam‐D’Agostino P=0.96). TRS‐HFDM score could not be validated in the electronic health record because of unavailability of data on urine albumin/creatinine ratio in most patients in the contemporary clinical practice. Conclusions The WATCH‐DM and TRS‐HFDM risk scores can discriminate risk of HF among intermediate‐risk populations with type 2 diabetes.\",\"PeriodicalId\":17189,\"journal\":{\"name\":\"Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1161/JAHA.121.024094\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1161/JAHA.121.024094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

研究背景:采用WATCH‐DM(体重[体质指数]、年龄、高血压、肌酐、高密度脂蛋白胆固醇、糖尿病控制[空腹血糖]、ECG QRS持续时间、心肌梗死和冠状动脉旁路移植术)和TRS‐HFDM(心肌梗死溶栓[TIMI]糖尿病心衰风险评分)风险评分来预测2型糖尿病患者心衰(HF)的风险。WATCH - DM用于预测HF事件,而TRS - HFDM用于预测有或无HF病史患者的HF住院。我们评估了两种评分的模型性能,以预测不同基线风险的2型糖尿病患者和无心衰住院史患者的心衰事件。方法和结果通过两项随机临床试验(TECOS[西格列汀评价心血管结局的试验],N= 12028;和Look AHEAD[关注糖尿病健康行动]试验,N=4867)。基于整数的WATCH - DM评分也在单个大型医疗保健系统(N=7475)的电子健康记录数据中得到验证。模型判别用Harrell一致性指数评估,用Greenwood - Nam - D 'Agostino统计量校准。在TECOS、Look AHEAD试验和电子健康记录队列中,HF发病率分别为7.5、3.9和4.1 / 1000人年。在Look AHEAD试验队列中,基于整数的WATCH - DM和TRS - HFDM评分在预测5年HF风险方面具有相似的辨别性和校准性(一致性指数=0.70;Greenwood‐Nam‐D’agostino两者P>0.30)。在TECOS队列中,两种评分均具有较低的辨别性和低估HF风险(一致性指数分别为0.65和0.66;Greenwood‐Nam‐D’agostino P<0.001)。在电子健康记录队列中,基于整数的WATCH - DM评分在校正充分的情况下显示出0.73的一致性指数(Greenwood‐Nam‐D 'Agostino P=0.96)。TRS‐HFDM评分无法在电子健康记录中验证,因为在当代临床实践中,大多数患者的尿白蛋白/肌酐比值数据不可用。结论WATCH - DM和TRS - HFDM风险评分可以区分2型糖尿病中危人群的HF风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Validation of the WATCH‐DM and TRS‐HFDM Risk Scores to Predict the Risk of Incident Hospitalization for Heart Failure Among Adults With Type 2 Diabetes: A Multicohort Analysis
Background The WATCH‐DM (weight [body mass index], age, hypertension, creatinine, high‐density lipoprotein cholesterol, diabetes control [fasting plasma glucose], ECG QRS duration, myocardial infarction, and coronary artery bypass grafting) and TRS‐HFDM (Thrombolysis in Myocardial Infarction [TIMI] risk score for heart failure in diabetes) risk scores were developed to predict risk of heart failure (HF) among individuals with type 2 diabetes. WATCH‐DM was developed to predict incident HF, whereas TRS‐HFDM predicts HF hospitalization among patients with and without a prior HF history. We evaluated the model performance of both scores to predict incident HF events among patients with type 2 diabetes and no history of HF hospitalization across different cohorts and clinical settings with varying baseline risk. Methods and Results Incident HF risk was estimated by the integer‐based WATCH‐DM and TRS‐HFDM scores in participants with type 2 diabetes free of baseline HF from 2 randomized clinical trials (TECOS [Trial Evaluating Cardiovascular Outcomes With Sitagliptin], N=12 028; and Look AHEAD [Look Action for Health in Diabetes] trial, N=4867). The integer‐based WATCH‐DM score was also validated in electronic health record data from a single large health care system (N=7475). Model discrimination was assessed by the Harrell concordance index and calibration by the Greenwood‐Nam‐D’Agostino statistic. HF incidence rate was 7.5, 3.9, and 4.1 per 1000 person‐years in the TECOS, Look AHEAD trial, and electronic health record cohorts, respectively. Integer‐based WATCH‐DM and TRS‐HFDM scores had similar discrimination and calibration for predicting 5‐year HF risk in the Look AHEAD trial cohort (concordance indexes=0.70; Greenwood‐Nam‐D’Agostino P>0.30 for both). Both scores had lower discrimination and underpredicted HF risk in the TECOS cohort (concordance indexes=0.65 and 0.66, respectively; Greenwood‐Nam‐D’Agostino P<0.001 for both). In the electronic health record cohort, the integer‐based WATCH‐DM score demonstrated a concordance index of 0.73 with adequate calibration (Greenwood‐Nam‐D’Agostino P=0.96). TRS‐HFDM score could not be validated in the electronic health record because of unavailability of data on urine albumin/creatinine ratio in most patients in the contemporary clinical practice. Conclusions The WATCH‐DM and TRS‐HFDM risk scores can discriminate risk of HF among intermediate‐risk populations with type 2 diabetes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Predictors of Survival in Patients With Ischemic Stroke and Active Cancer: A Prospective, Multicenter, Observational Study Treatment of Slow‐Flow After Primary Percutaneous Coronary Intervention With Flow‐Mediated Hyperemia: The Randomized RAIN‐FLOW Study Predicting Arterial Thrombotic Events Following Peripheral Revascularization Using Objective Viscoelastic Data Safety of Catheter Ablation Therapy for Atrial Fibrillation in Cardiac Amyloidosis Corin Missense Variants, Blood Pressure, and Hypertension in 11 322 Black Individuals: Insights From REGARDS and the Jackson Heart Study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1