ABSTRACT
BACKGROUND: Angiotensin-converting enzyme (ACE) insertion/deletion (I/D) polymorphism may play a role in the pathogenesis of coronavirus-19 disease (COVID-19). OBJECTIVES: Investigate the relationship between ACE I/D polymorphism and the clinical severity of COVID-19. DESIGN: Prospective cohort study. SETTING: Tertiary care hospital. PATIENTS AND METHODS: The study included COVID-19 patients with asymptomatic, mild, and severe disease with clinical data and whole blood samples collected from 1 April 2020 to 1 July 2020. ACE I/D genotypes were determined by polymerase chain reaction and agarose gel electrophoresis. MAIN OUTCOME MEASURE: ACE DD, DI and II genotypes frequencies. SAMPLE SIZE: 90 cases, 30 in each disease severity group. RESULTS: Age and the frequency of general comorbidity increased significantly from the asymptomatic disease group to the severe disease group. Advanced age, diabetes mellitus and presence of ischemic heart disease were independent risk factors for severe COVID-19 [OR and 95 % CI: 1.052 (1.021-1.083), 5.204 (1.006-26.892) and 5.922 (1.109-31.633), respectively]. The ACE II genotype was the dominant genotype (50%) in asymptomatic patients, while the DD genotype was the dominant genotype (63.3 %) in severe disease. The ACE II geno-type was protective against severe COVID-19 [OR and 95% CI: .323 (.112-.929)]. All nine patients (8.9%) who died had severe disease. CONCLUSIONS: The clinical severity of COVID-19 infection may be associated with the ACE I/D polymorphism. LIMITATIONS: Small sample size and single center. CONFLICT OF INTEREST: None.
Subject(s)
COVID-19/genetics , Peptidyl-Dipeptidase A/genetics , Polymorphism, Genetic , Severity of Illness Index , Adult , Aged , Base Sequence , COVID-19/diagnosis , Female , Follow-Up Studies , Genetic Markers , Genotype , Genotyping Techniques , Humans , Male , Middle Aged , Mutagenesis, Insertional , Prospective Studies , Sequence DeletionABSTRACT
INTRODUCTION: Coronavirus disease 2019 (COVID-19) is a newly recognized infectious disease that has spread rapidly. COVID-19 has been associated with a number of cardiovascular complications, including arrhythmias. The mechanism of ventricular arrhythmias in patients with COVID-19 is uncertain. The aim of the present study was to evaluate the ventricular repolarization by using the Tp-e interval, QT dispersion, Tp-e/QT ratio, and Tp-e/QTc ratio as candidate markers of ventricular arrhythmias in patients with newly diagnosed COVID-19. In addition, the relationship between the repolarization parameters and the CRP (C-reactive protein) was investigated. METHODS: 75 newly diagnosed COVID-19 patients, 75 age and sex matched healthy subjects were included in the study between 20th March 2020 and 10th April 2020. The risk of ventricular arrhythmias was evaluated by calculating the electrocardiographic Tp-e and QT interval, Tp-e dispersion, corrected QT(QTc), QT dispersion (QTd), corrected QTd, Tp-e/QT and Tp-e/QTc ratios. CRP values were also measured in patients with newly diagnosed COVID-19. RESULTS: Tp-e interval (80.7⯱â¯4.6 vs. 70.9⯱â¯4.8; pâ¯<â¯.001), Tp-e / QT ratio (0.21⯱â¯0.01 vs. 0.19⯱â¯0.01; pâ¯<â¯.001) and Tp-e/QTc ratio (0.19⯱â¯0.01 vs.0.17⯱â¯0.01; pâ¯<â¯.001) were significantly higher in patients with newly diagnosed COVID-19 than the control group. There was a significant positive correlation between Tp-e interval, Tp-e/QTc ratio and CRP in patients with newly diagnosed COVID-19 (rsâ¯=â¯0.332, pâ¯=â¯.005, rsâ¯=â¯0.397, pâ¯<â¯.001 consecutively). During their treatment with hydroxychloroquine (HCQ), azithromycin and favipiravir, ventricular tachycardia episodes were observed in in two COVID-19 patients during their hospitalization in the intensive care unit. CONCLUSION: Our study showed for the first time in literature that the Tp-e interval, Tp-e/QT ratio, and Tp-e/QTc ratio, which are evaluated electrocardiographically in patients with newly diagnosed COVID-19, were prolonged compared with normal healthy individuals. A positive correlation was determined between repolarization parameters and CRP. We believe that pre-treatment evaluation of repolarization parameters in newly diagnosed COVID-19 would be beneficial for predicting ventricular arrhythmia risk.