Malachias Marcus Vinicius Bolivar, Wijkman Magnus Olof, Bertoluci Marcello Casaccia
Department of Internal Medicine, Faculdade Ciências Médicas de Minas Gerais, Fundação Educacional Lucas Machado, Alameda Ezequiel Dias, 275, Centro, Belo Horizonte, MG, 30130-110, Brazil.
Department of Internal Medicine and Department of Health, Medicine and Caring Sciences, Linköping University, Norrköping, Sweden.
Diabetol Metab Syndr. 2022 May 3;14(1):64. doi: 10.1186/s13098-022-00837-6.
Existing risk prediction scores based on clinical and laboratory variables have been considered inaccurate in patients with Type 2 Diabetes Mellitus (T2DM). Circulating concentrations of natriuretic peptides have been used to aid in the diagnosis and to predict outcomes in heart failure. However, there is a growing body of evidence for the use of natriuretic peptides measurements, mainly N-terminal pro-B-type natriuretic peptide (NT-proBNP), as a tool in risk stratification for individuals with T2DM. Studies have demonstrated the ability of NT-proBNP to improve outcomes prediction when incorporated into multivariate models. More recently, evidence has emerged of the discriminatory power of NT-proBNP, demonstrating, as a single variable, a similar and even superior ability to multivariate risk models for the prediction of death and cardiovascular events in individuals with T2DM. Natriuretic peptides are synthesized and released from the myocardium as a counter-regulatory response to increased cardiac wall stress, sympathetic tone, and vasoconstriction, acting on various systems and affecting different biological processes. In this article, we present a review of the accumulated knowledge about these biomarkers, underscoring the strength of the evidence of their predictive ability for fatal and non-fatal outcomes. It is likely that, by influencing the functioning of many organs, these biomarkers integrate information from different systems. Although not yet recommended by guidelines, measurement of natriuretic peptides, and particularly NT-proBNP, should be strongly considered in the risk stratification of individuals with T2DM.
基于临床和实验室变量的现有风险预测评分,在2型糖尿病(T2DM)患者中被认为是不准确的。利钠肽的循环浓度已被用于辅助心力衰竭的诊断和预测预后。然而,越来越多的证据表明,利钠肽测量,主要是N末端B型利钠肽原(NT-proBNP),可作为T2DM患者风险分层的工具。研究表明,将NT-proBNP纳入多变量模型时,它有改善预后预测的能力。最近,有证据显示NT-proBNP具有鉴别能力,作为单一变量,它在预测T2DM患者的死亡和心血管事件方面,具有与多变量风险模型相似甚至更优的能力。利钠肽是心肌合成并释放的,作为对心脏壁压力增加、交感神经张力和血管收缩的一种反调节反应,作用于各种系统并影响不同的生物学过程。在本文中,我们对这些生物标志物的积累知识进行综述,强调其对致命和非致命结局预测能力的证据强度。这些生物标志物可能通过影响许多器官的功能,整合来自不同系统的信息。尽管目前指南尚未推荐,但在T2DM患者的风险分层中,应强烈考虑测量利钠肽,尤其是NT-proBNP。