The Effect of Hydroxychloroquine On Ventricular Repolarization Parameters Jtc And Jtpc Intervals In Patients With Covid-19

JT and JTp intervals are among the ventricular repolarization parameters and prolongation, just as the QT interval is related to ventricular arrhythmias. This study aims to examine the effect of hydroxychloroquine on JTc and JTpc intervals in individuals hospitalized with COVID-19. We involved 130 COVID-19 patients divided into two groups as the hydroxychloroquine treatment group and the control group, in this study. ECGs of the patients were recorded at admission and after a median of 48 hours following the initiation of hydroxychloroquine treatment. Then, QTc, JTc, and JTpc intervals were measured. Patients' average age was 48 (37-66 IQR), and 53% of the individuals were female. The median basal JTpc interval was 215 ms(195-230 IQR), while JTpc-Day 3 was 220 ms(195-238 IQR). The median basal JTc interval was 320 ms(301-334 IQR), while JTc-Day 3 was 328 ms(306-343 IQR). JTpc and JTc interval in the hydroxychloroquine group have prolonged significantly (p<0.001), while there were no significant changes in the control group for both values (p>0.05). There was a significant prolongation in the multivariable linear regression analysis in JTc-Day 3 and JTpc-Day 3 after hydroxychloroquine treatment. (ß=-2.589, 95%CI, 2.384-17.894, p=0.011, ß=2.195, 95%CI, 759 -14.752, p=0.030, respectively). In this study, we found significant prolongation in JTc and JTpc intervals in the patients who take hydroxychloroquine treatment. [ FROM AUTHOR] Copyright of Eastern Journal of Medicine is the property of Yuzuncu Yil University, Faculty of Medicine and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Correlation of Neuroimaging Findings with Clinical Presentation and Laboratory Data in Patients with COVID-19: A Single-Center Study.

BACKGROUND: This study was aimed at revealing neuroimaging findings in COVID-19 patients and at discussing their relationship with epidemiological data and some laboratory parameters. Materials and Method. This study included 436 cases of COVID-19 and 40 cases of non-COVID-19 acute/subacute thromboembolism who underwent at least one neuroimaging procedure due to neurological symptoms between April 2020 and December 2020. The group of COVID-19-positive acute/subacute thromboembolism cases was compared with both the group of normal brain imaging cases and the non-COVID-19 acute/subacute thromboembolism group in terms of demographic data and laboratory parameters. RESULTS: When the acute/subacute thromboembolism group and neuroimaging findings were compared in terms of negative group, presence of comorbid disease, D-dimer level, and lymphocyte count in COVID-19 patients, a statistically significant difference was found (p = 0.047, 0.014, and <0.001, respectively). COVID-19-positive and COVID-19-negative acute/subacute thromboembolism cases that were compared in terms of gender, neuroimaging reason, C-reactive protein, D-dimer level and lymphocyte count, a statistically significant difference was found (p = 0.003, <0.001, 0.005, 0.02, and <0.001, respectively). CONCLUSION: Acute thromboembolic events are common in patients with COVID-19 due to a potentially increased procoagulant process. Neurological evaluation and, if necessary, detailed neuroimaging should be performed, especially in cases with high D-dimer levels.

The effect of RAAS inhibitors on acute hypoxemic respiratory failure and in-hospital mortality in the hypertensive Covid-19 patients.

INTRODUCTION: We have aimed to investigate the relationship between use of angiotensin-converting-enzyme inhibitor (ACEI) or angiotensin-receptor-blocker (ARB) drugs and acute hypoxemic respiratory failure (AHRF) and in-hospital mortality in hypertensive Covid-19 patients. MATERIAL AND METHOD: Consecutive 1345 patients diagnosed with Covid-19 between April and October 2020 who met inclusion criteria were divided into two groups based on presence and absence of AHRF and mortality. The groups were compared regarding epidemiological, clinical, radiological, laboratory findings and treatments methods. The patient groups ACEI, ARB and other antihypertensive drugs (non-ACEI/ARB) were compared regarding same parameters. RESULTS: Median age was 68 (60-76) years in the patient group including 805 (59.9.1%) females. Of the patients, 475 (35.3%), 644 (47.9%) and 226 (16.8%) were using ACEIs, ARBs and non-ACEI/ARB, respectively. AHRF and in-hospital mortality developed in 1053 (78.3%) and 290 (21.6%) patients, respectively. Age, gender, coronary artery disease, diabetes mellitus (DM), neutrophil, lymphocyte, creatinine, D-dimer, C-reactive protein (CRP), ACEI, beta blocker and aspartate transaminase (AST) found statistically significant in the univariable logistic regression performed to identify independent predictors of mortality were included multivariable logistic regression model. Age (OR: 1.066, 95%CI: 1.049-1.083; p < .001), DM (OR: 1.682, 95%CI: 1.238-2.286; p = .001), neutrophil (OR: 1.041, 95%CI: 1.007-1.077; p = .019), creatinine (OR: 1.178, 95%CI: 1.048-1.325; p = .006), CRP (OR: 1.008, 95%CI: 1.006-1.010; p < .001), ACEI (OR: 0.718, 95%CI: 0.521-0.988; p = .042), AST (OR: 1.005, 95%CI: 1.001-1.010; p = .010) were found associated with in-hospital mortality. CONCLUSION: In our study, it was not detected clinically significant difference between three groups with regard to their relation with in-hospital mortality.

The effect of favipiravir on QTc interval in patients hospitalized with coronavirus disease 2019.

BACKGROUND: The effect of favipiravir on the QTc interval during the treatment of Coronavirus Disease 2019 (COVID-19) patients is unclear. Thus, the current study objective was to evaluate any change in the QTc interval in patients who were hospitalized due to COVID-19 receiving favipiravir treatment. METHOD: Patients hospitalized with COVID-19 were assessed in this single-center retrospective study. 189 patients, whose diagnosis was confirmed using real-time PCR, were included in the study. The patients were divided into three groups: those using hydroxychloroquine (Group 1, n = 66), hydroxychloroquine plus favipiravir (Group 2, n = 66), and favipiravir only (Group 3, n = 57). The QTc interval was measured before treatment (QTc-B) and 48 h after (i.e., the median) starting treatment (QTc-AT). RESULTS: The median age was 53 (39-66 IQR) and 97 (51%) of patients were female. The median QTc(Bazett)-change was 7 ms (p = 0.028) and 12 ms (p < 0.001) and in Group 1 and 2, respectively. In Group 3, the median QTc(Bazett)-change was observed as -3 ms and was not statistically significant (p = 0.247). In multivariable analysis, while there was a significant relationship between QTc-AT(Bazett) and hydroxychloroquine (ß coefficient = 2687, 95%CI 2599-16,976, p = 0,008), there was no significant relationship with favipiravir (ß coefficient = 0,180, 95% CI -6435-7724, p = 0,858). Similarly, there was a significant relationship between the QTc-AT interval calculated using the Fredericia formula and hydroxychloroquine (ß coefficient = 2120, 95% CI 0,514-14,398, p = 0,035), but not with favipiravir (ß coefficient = 0,111, 95% CI -6450- 7221, p = 0,911). CONCLUSION: In the ECG recordings received in the following days after the treatment was started in COVID-19 patients, there was a significant prolongation in the QTc interval with hydroxychloroquine, but there was no significant change with favipiravir.