Cardiovascular Division Brigham & Women's Hospital Harvard Medical School Boston MA.
Faculdade Ciências Médicas de Minas Gerais Fundação Educacional Lucas Machado Belo Horizonte Minas Gerais Brazil.
J Am Heart Assoc. 2020 Oct 20;9(19):e017462. doi: 10.1161/JAHA.120.017462. Epub 2020 Sep 23.
Background NT-proBNP (N-terminal pro-B-type natriuretic peptide) improves the discriminatory ability of risk-prediction models in type 2 diabetes mellitus (T2DM) but is not yet used in clinical practice. We assessed the discriminatory strength of NT-proBNP by itself for death and cardiovascular events in high-risk patients with T2DM. Methods and Results Cox proportional hazards were used to create a base model formed by 20 variables. The discriminatory ability of the base model was compared with that of NT-proBNP alone and with NT-proBNP added, using C-statistics. We studied 5509 patients (with complete data) of 8561 patients with T2DM and cardiovascular and/or chronic kidney disease who were enrolled in the ALTITUDE (Aliskiren in Type 2 Diabetes Using Cardiorenal Endpoints) trial. During a median 2.6-year follow-up period, 469 patients died and 768 had a cardiovascular composite outcome (cardiovascular death, resuscitated cardiac arrest, nonfatal myocardial infarction, stroke, or heart failure hospitalization). NT-proBNP alone was as discriminatory as the base model for predicting death (C-statistic, 0.745 versus 0.744, =0.95) and the cardiovascular composite outcome (C-statistic, 0.723 versus 0.731, =0.37). When NT-proBNP was added, it increased the predictive ability of the base model for death (C-statistic, 0.779 versus 0.744, <0.001) and for cardiovascular composite outcome (C-statistic, 0.763 versus 0.731, <0.001). Conclusions In high-risk patients with T2DM, NT-proBNP by itself demonstrated discriminatory ability similar to a multivariable model in predicting both death and cardiovascular events and should be considered for risk stratification. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT00549757.
N 端脑利钠肽前体(NT-proBNP)提高了 2 型糖尿病(T2DM)风险预测模型的区分能力,但尚未在临床实践中应用。我们评估了 NT-proBNP 对 T2DM 高危患者死亡和心血管事件的单独预测能力。
使用 Cox 比例风险模型创建了一个由 20 个变量组成的基础模型。使用 C 统计量比较了基础模型和 NT-proBNP 单独以及添加 NT-proBNP 后的区分能力。我们研究了 ALTITUDE(阿利西尤单抗在伴有心血管和/或慢性肾脏疾病的 2 型糖尿病患者中的应用)试验中 8561 例 T2DM 合并心血管和/或慢性肾脏疾病患者中的 5509 例(有完整数据)患者。在中位 2.6 年的随访期间,469 例患者死亡,768 例患者发生心血管复合终点事件(心血管死亡、复苏性心脏骤停、非致死性心肌梗死、卒中和心力衰竭住院)。NT-proBNP 单独预测死亡(C 统计量,0.745 比 0.744,=0.95)和心血管复合终点事件(C 统计量,0.723 比 0.731,=0.37)的能力与基础模型相同。当添加 NT-proBNP 时,它增加了基础模型预测死亡(C 统计量,0.779 比 0.744,<0.001)和心血管复合终点事件(C 统计量,0.763 比 0.731,<0.001)的预测能力。
在 T2DM 高危患者中,NT-proBNP 单独预测死亡和心血管事件的能力与多变量模型相似,应考虑用于风险分层。