Efficacy of Tocilizumab in COVID-19: Single-Center Experience.

BACKGROUND: Cytokine release syndrome can be observed during the course of COVID-19. Tocilizumab is used for treating this highly fatal syndrome. We think that the starting time of tocilizumab is important. In this article, we aimed to discuss the efficacy of tocilizumab and to review the necessity of starting it in the early period and the laboratory values that guide us in determining the time of this early period. METHODS: This retrospective study includes a total of 308 patients with a diagnosis of COVID-19 who were treated with tocilizumab, who were hospitalized in the University of Health Sciences, Gazi Yasargil Training and Research Hospital between July 2020 and December 2020. The data of the patients were recorded on the day of hospitalization, the day of taking tocilizumab (day 0), and the 1st day, 3rd day, 7th day, and 14th day after taking tocilizumab. Data included age, gender, underlying diseases, where the patient was followed, duration of symptoms before admission to the hospital, duration of oxygen demand before tocilizumab, fever, saturation, and laboratory values. Patients were divided into the mortality group (group 1) and the survival group (group 2), and all data were compared. RESULTS: The study consisted of 308 COVID-19 patients divided into two groups: the mortality group (group 1, n = 135) and the survival group (group 2, n = 173). The median age of the patients was 60 (min-max: 50-70) years, 75.3% (n = 232) were male, and 56.8% had at least one comorbidity. While 88.9% of group 1 was in the intensive care unit, 26.6% of group 2 received tocilizumab while in the intensive care unit, and there was a statistically significant difference. Median SpO2 values and lymphocyte counts were significantly lower in group 1 than in group 2, both on the day of hospitalization and on the day of the first dose of tocilizumab treatment (p < 0.001 for both). C-reactive protein, d-dimer, and alanine aminotransferase values were higher in the mortal group on the first day of hospitalization, and this was significant (p = 0.021, p = 0.001, and p = 0.036, respectively). In our study, d-dimer was 766.5 ng/mL in the survivor group and 988.5 ng/mL in the mortal group. In our patient group, the mean lymphocyte count was 700 × 103/mm3 in the group that survived the first day of TCZ and 500 × 103/mm3 in the mortal group. In addition, the CRP value was 135.5 mg/L in the survivor group and 169 mg/L in the mortal group. There was no difference between ferritin values. CONCLUSIONS: Tocilizumab is still among the COVID-19 treatment options and appears to be effective. But the start time is important. In order to increase its effectiveness, it may be important to know a cut-off value of the laboratory findings required for the diagnosis of cytokine release syndrome. Further studies are needed for this.

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.

Can C-Reactive Protein to Albumin Ratio Predict In-Hospital Death Rate Due to COVID-19 in Patients With Hypertension?

Hypertension is one of the main morbidity and mortality risk factors in patients with coronavirus disease 2019 (COVID-19). We investigated the association between the C-reactive protein (CRP) to albumin ratio (CAR) and in-hospital mortality in patients with hypertensive COVID-19. A total of 176 patients with hypertension diagnosed with COVID-19 were included in this study. The CAR was compared between survivors and nonsurvivors. Logistic regression analysis was used to detect independent predictors of mortality due to COVID-19 in patients with hypertension. A cutoff value of CAR was obtained for predicting in-hospital death in patients with hypertensive COVID-19. Kaplan-Meier analysis was performed for survival analysis in the study population. The CAR values were significantly higher in nonsurvivors than in survivors with hypertension. Moreover, the CAR was an independent predictor of in-hospital death in patients with hypertensive COVID-19, as shown in multivariable logistic regression analysis. Receiver operating characteristic analysis yielded a cutoff value of 20.75 for the CAR for predicting in-hospital death in patients with hypertension. Kaplan-Meier curve analysis showed that patients with hypertensive COVID-19 with a CAR value of ≥20.75 had a higher incidence of in-hospital death. The CAR might be used as an independent predictor of in-hospital mortality in patients with hypertensive COVID-19.

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.

Association Between the Rh Blood Group and the Covid-19 Susceptibility

We aimed to investigate whether there is a predisposition to COVID-19 with ABO and Rh blood group systems. This study was a retrospective study that investigate the patients admitted to our hospital between March 16 -May 20 due to Covid-19 pandemic and conducted with data revealed from the hospital Information Management System A total of 392 patients were included in this study, including 227 PCR test positive patients with blood group information in the system and 165 possible patients with CT findings in favor of Covid-19. Data from a blood group study conducted with 127091 people in our province in 2019 were used as a control group. In our study, a significant increase was observed in the blood group A in patients diagnosed with Covid-19, and a decrease was found in the blood groups B, AB and especially O. However, statistical analysis showed no significant difference between Covid-19 patients and healthy individuals in terms of ABO blood group system. When analyzed in terms of Rh blood group system, it was found that Rh positivity was statistically significantly higher in patients with Covid-19 (p= 0.000). Our study suggests that the Rh (-) blood group is protective and the Rh (+) blood group is predisposed to Covid 19 significantly. We think that it is valuable because it is the first study to reveal the relationship between Covid-19 and blood type in our country and the only one to reveal the relationship between Covid-19 and Rh (+) in the world literature.