The Importance of Corrected QT Interval for Predicting of Mortality in Patients with Severe Coronavirus Disease 2019

O. Pirhan, S. Aşar, B. Pehlivan, Önder Kaya, İ. Aktürk, F. Kılıçaslan, E. Akşit
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Abstract

Introduction: Coronavirus disease 2019 (COVID-19), which started in Wuhan, China in December 2019, soon turned into a pandemic that severely affected the countries ' health and economic systems. COVID-19 can lead to death, especially in patients with lung involvement and cardiac injury. We aimed to determine whether baseline repolarization parameters provide prognostic information in patients admitted to intensive care unit (ICU) with COVID-19. Methods: In this retrospective cohort study, we included 135 adult patients (median age 61 years, 52% men, 51% hypertension, 43% diabetes mellitus, 32% coronary artery disease) with confirmed COVID-19 who were followed in the intensive care unit (ICU). Data of patients were extracted from the electrical medical records and compared between the survivors and the non-survivors. Results: : In follow-up, of whom 80 were discharged, 55 died in hospital. Multivariate logistic regression analysis showed that the corrected QT interval (QTc) longer than ≥457 msn on admission (odds ratio (OR) =6.433, 95% CI 1.539-26.970, p=0.01), the age older than 65 years (OR=2.848, 95% CI: 1.003-8.091, p=0.04) and heart rate greater than 99 bpm (OR=9.180, 95% CI: 3.03727.749, p=0.0001) were independent risk factors for mortality in hospital. In addition, corrected the peak of T wave to the end of T wave interval (Tpec) was statistically longer in patients who died than those who lived. Conclusion: The QTc value measured on admission, age and heart rate and can help to predict mortality in hospital. Additionally, Tpec can provide about the risk of mortality in COVID-19 patients.
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校正QT间期对预测2019年冠状病毒重症患者死亡率的重要性
2019年12月在中国武汉爆发的2019冠状病毒病(COVID-19)很快演变成一场大流行,严重影响了各国的卫生和经济体系。COVID-19可导致死亡,特别是肺部受累和心脏损伤的患者。我们的目的是确定基线复极参数是否为入住重症监护病房(ICU)的COVID-19患者提供预后信息。方法:在这项回顾性队列研究中,我们纳入135例确诊COVID-19的成年患者(中位年龄61岁,52%男性,51%高血压,43%糖尿病,32%冠状动脉疾病),并在重症监护病房(ICU)随访。从电病历中提取患者数据,并将幸存者与非幸存者进行比较。结果:随访出院80例,住院死亡55例。多因素logistic回归分析显示,入院时校正QT间期(QTc)大于≥457 msn(比值比(OR) =6.433, 95% CI为1.539 ~ 26.970,p=0.01)、年龄大于65岁(OR=2.848, 95% CI为1.003 ~ 8.091,p=0.04)、心率大于99 bpm (OR=9.180, 95% CI为3.03727.749,p=0.0001)是住院死亡的独立危险因素。此外,死亡患者的T波峰至T波末间隔(Tpec)的校正时间长于存活患者。结论:在入院、年龄和心率时测量的QTc值有助于预测住院死亡率。此外,Tpec可以提供COVID-19患者的死亡风险。
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