Hatamnejad Mohammad Reza, Bazrafshan Hamed, Hosseinpour Morteza, Izadpanah Peyman, Kasravi Mohammad Reza, Bazrafshan Mehdi
Faculty of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Al-Zahra Charity Hospital, Department of Cardiology Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Caspian J Intern Med. 2022 Summer;13(3):533-545. doi: 10.22088/cjim.13.3.533.
Ventricular repolarization measurement by QTc interval and QT dispersion can recognize high-risk patients. Previous research tended to evaluate the act of repolarization indicators alone but this study aimed to elucidate their prognostic utility before and after modifying confounding parameters in risk stratification of different aspects of prognosis in decompensated heart failure patients with systolic dysfunction.
Data of 98 variables were evaluated to determine their predictive value concerning arrhythmic events, in-hospital, and long-term mortality.
From 858 cases that presented with acute heart failure, 19.2% (n=165) were enrolled in the study. During hospitalization, arrhythmic events and cardiac-related mortality occurred in 56(33.9%) and 11(7%) patients, respectively. QTc and QT dispersion were independent predictors of arrhythmia and in-hospital mortality after adjustment of the variables (arrhythmic events: QTc interval OR 1.085, P=0.007, QT dispersion OR 1.077, P=0.007, in-hospital mortality: QTc interval OR 1.116, P=0.009, QT dispersion OR 1.067, P=0.011). After being discharged, they were tracked for 181±56 days. Within the 16 deaths in follow-up time, 6 sudden cardiac deaths were documented. Cox regression, defined QTc as the predictor of all-cause and sudden death mortality (all-cause: HR 1.041, 95% CI 1.015-1.067, P=0.002; sudden death: HR 1.063, 95% CI 1.023-1.105, P=0.002); nevertheless, efforts to demonstrate QT dispersion as the predictor failed.
The predictive nature of QT parameters was significant after modification of the variables; therefore, they should be measured for risk stratification of ventricular repolarization arrhythmia and death in decompensated heart failure patients.
通过QTc间期和QT离散度测量心室复极可识别高危患者。以往研究倾向于单独评估复极指标,但本研究旨在阐明在调整收缩功能不全的失代偿性心力衰竭患者不同预后方面的混杂参数之前和之后,这些指标的预后效用。
评估98个变量的数据,以确定它们对心律失常事件、住院和长期死亡率的预测价值。
在858例急性心力衰竭患者中,19.2%(n = 165)纳入研究。住院期间,分别有56例(33.9%)和11例(7%)患者发生心律失常事件和心脏相关死亡。调整变量后,QTc和QT离散度是心律失常和住院死亡率的独立预测因子(心律失常事件:QTc间期OR 1.085,P = 0.007,QT离散度OR 1.077,P = 0.007;住院死亡率:QTc间期OR 1.116,P = 0.009,QT离散度OR 1.067,P = 0.011)。出院后,对他们进行了181±56天的跟踪。在随访期间的16例死亡中,记录到6例心源性猝死。Cox回归将QTc定义为全因和猝死死亡率的预测因子(全因:HR 1.041,95%CI 1.015 - 1.067,P = 0.002;猝死:HR 1.063,95%CI 1.023 - 1.105,P = 0.002);然而,将QT离散度作为预测因子的论证未成功。
调整变量后,QT参数的预测性质显著;因此,应测量这些参数以对失代偿性心力衰竭患者的心室复极心律失常和死亡进行风险分层。