Department of Cardiology Texas Heart Institute Houston TX.
Department of Cardiology Houston Methodist DeBakey Heart and Vascular Center Houston TX.
J Am Heart Assoc. 2022 Jun 7;11(11):e024094. doi: 10.1161/JAHA.121.024094. Epub 2022 Jun 3.
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-HF (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-HF 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-HF 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-HF 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 >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 <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 =0.96). TRS-HF 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-HF risk scores can discriminate risk of HF among intermediate-risk populations with type 2 diabetes.
WATCH-DM(体重[体重指数]、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]、心电图 QRS 持续时间、心肌梗死和冠状动脉旁路移植术)和 TRS-HF(心肌梗死中的溶栓治疗[TIMI]心力衰竭风险评分糖尿病)用于预测 2 型糖尿病患者心力衰竭(HF)的风险。WATCH-DM 用于预测 HF 事件的发生,而 TRS-HF 用于预测有或无 HF 病史患者的 HF 住院。我们评估了这两种评分模型在不同队列和具有不同基线风险的临床环境中预测 2 型糖尿病且无 HF 住院史患者 HF 事件发生的能力。
在无基线 HF 的 2 项随机临床试验(TECOS [评估西格列汀心血管结局的试验],N=12028;和 LOOK AHEAD [糖尿病患者健康行动]试验,N=4867)的参与者中,使用基于整数的 WATCH-DM 和 TRS-HF 评分估计 HF 风险。整数 WATCH-DM 评分也在单一大型医疗保健系统的电子健康记录数据中进行了验证(N=7475)。模型区分度通过 Harrell 一致性指数评估,校准通过 Greenwood-Nam-D'Agostino 统计量评估。TECOS、LOOK AHEAD 试验和电子健康记录队列中 HF 的发生率分别为每 1000 人年 7.5、3.9 和 4.1。在 LOOK AHEAD 试验队列中,基于整数的 WATCH-DM 和 TRS-HF 评分预测 5 年 HF 风险的区分度和校准度相似(一致性指数=0.70;两者的 Greenwood-Nam-D'Agostino 均>0.30)。在 TECOS 队列中,两个评分的区分度较低,HF 风险预测不足(一致性指数分别为 0.65 和 0.66,两者的 Greenwood-Nam-D'Agostino 均<0.001)。在电子健康记录队列中,基于整数的 WATCH-DM 评分的一致性指数为 0.73,校准适度(Greenwood-Nam-D'Agostino=0.96)。由于当代临床实践中大多数患者缺乏尿白蛋白/肌酐比值的数据,因此无法在电子健康记录中验证 TRS-HF 评分。
WATCH-DM 和 TRS-HF 风险评分可区分 2 型糖尿病中具有中等风险的人群的 HF 风险。