Evaluation of the relationship between progression and SARS-CoV-2 viral load in COVID-19 cases in Ankara, Turkey.

INTRODUCTION: Patients infected with SARS-CoV-2 may present with varying clinical pictures. This study aimed to examine the relationship between viral load cycle threshold value, clinical prognosis and other laboratory parameters in initial swab samples on the day of hospitalization. METHODOLOGY: This retrospective and cross-sectional study included 112 patients, who were diagnosed with SARS-CoV-2 via the Bio-Rad CFX96 TouchTM system. Cycle threshold values for the RdRp gene obtained from reverse transcriptase polymerase chain reaction positive patients were recorded. RESULTS: The mean age of the 112 patients was 47.57 ± 17 years. No relationship was found in symptoms, pneumonia, oxygen need, follow-up in intensive care unit, and mortality between patient groups with cycle threshold values of < 30 and ≥ 30. Frequencies of thrombocytopenia (50%) and elevated LDH levels were higher in patients with cycle threshold values of ≥ 30 (p = 0.02 and p = 0.04, respectively). There was a weak but significant correlation between cycle threshold values and CRP levels (Pearson's r = 0.207, p = 0.029). CONCLUSIONS: Symptoms or clinical prognosis were not significantly related to the SARS-CoV-2 viral load levels tested at admission or for the first time within the scope of this study. Thrombocytopenia and elevated LDH rates were higher in patients with cycle threshold values of ≥ 30. A weak but significant correlation was found between the viral load and CRP levels. Large-scale studies are needed to further elucidate this subject matter.

Investigation of Viral Load Cycle Threshold Values in Patients with SARS-CoV-2 Associated Pneumonia with Real-Time PCR Method.

INTRODUCTION: In this study, we aimed investigate the relationship of SARS-CoV-2 viral load cycle threshold (Ct) values with pneumonia. METHODOLOGY: A total of 158 patients in whom SARS-CoV-2 was confirmed in upper respiratory tract (URT) samples with molecular method and who had computed tomography (CT) of the chest, between April 2020 and June 2020 were included in this retrospective cross-sectional study. RESULTS: Mean age of 158 PCR positive patients was 45.22 ± 17.89 and 60.8% of them were male. Pneumonia was detected in 40.5% of the patients on their chest CT. A weak but significant correlation was found between SARS-CoV-2 Ct value detected with PCR in analysis of oropharyngeal/ nasopharyngeal (OP/NP) samples and chest CT score (Pearson's r: 0.197, p = 0.01). No correlation was found between the first detected viral load Ct value and age, gender and mortality. There was no significant correlation between chest CT score and mortality. While the areas remaining under ROC curve for Ct value in analysis of OP/NP samples in prediction of chest CT score ≥ 1, ≥ 5 and ≥ 10 were 0.564, 0.640 and 0.703 respectively. CONCLUSIONS: We found that the amount of SARS-CoV-2 viral load (inverse relationship with Ct) detected in OP/NP samples of patients with COVID-19 pneumonia did not reflect the increasing severity of pulmonary lesions on chest CT. Although primary target of SARS-CoV-2 is all epithelial cells of the respiratory tract we believe studies comparing viral loads in lower respiratory tract samples are needed to determine the severity of pulmonary disease.

The boundaries between survival and nonsurvival at COVID-19: Experience of tertiary care pandemic hospital.

OBJECTIVE: Coronavirus disease 2019 (COVID-19) is an emerging, fast-spreading, highly mortal and worldwide infectious disease. The pulmonary system was defined as the main target of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but the mortality concept of this disease presented with more severe and systemic disease. The present study investigated the relationship between the patient characteristics at the initial hospital administration and fatality in COVID-19 patients. METHODS: In this retrospective and comparative cohort study, all the 767 hospitalised COVID-19 patients, treated between 18 March and 15 May 2020 in the Covid Clinics of Gulhane Training and Research Hospital in Ankara, Turkey, were evaluated. RESULTS: The fatality rate was significantly increased in patients with any comorbid disease except asthma. The initial laboratory test results indicated highly significant differences according to the patient's outcome. A multifactor logistic regression analysis was performed to calculate the adjusted odds ratios for predicting patient outcomes. Being older than 60 years increased the death risk with an adjusted OR of 7.2 (95% CI: 2.23-23.51; P = .001). The presence of a cancer and the extended duration of intensive care unit treatment were other significant risk factors for nonsurvival. Azithromycin treatment was determined as significantly reduced the death ratio in these patients (P = .002). CONCLUSION: It was revealed that being older than 60 years, presence of a cancer and extended duration of ICU treatment were the major risk factors for predicting fatality rate in hospitalised COVID-19 patients.

Clinical presentation and course of the novel coronavirus disease 2019 in patients with various types of cancer: A retrospective case-control analysis of an experienced cancer center in Turkey.

OBJECTIVE: Cancers have been reported to worsen the clinical course of coronavirus disease 2019 (COVID-19) infection. We aimed to demonstrate the real-life data on health outcomes in COVID-19-infected cancer patients. MATERIALS AND METHODS: We analyzed the data of 43 COVID-19-infected cancer patients in our COVID-19 clinics between March 25, 2020, and May 9, 2020, retrospectively. RESULTS: We determined that 1051 patients were followed up with COVID-19 infection and 43 (4%) of them were cancer patients. The mean age of the patients was 64.3 ± 12.3 years. Lung cancer is the most common cancer type among the patients (23.2%). Dyspnea (51.2%) was the most common symptom in the first admission. Typical ground-glass consolidation or patchy appearance with peribronchial thickening resembling bronchopneumonia on high-resolution computed tomography (HRCT) was present in 29 (67.4%) patients. COVID-19 was diagnosed in 14 (32.5%) patients based on reverse transcriptase-polymerase chain reaction analysis of nose-throat swab samples without any sign of lung involvement on HRCT. Total mortality of the COVID-19 infection was 46.5% (n = 20). Presence of heart disease (hazard ratio [HR]: 3.5; 95% confidence interval [CI]: 1.29-9.4), previous surgeries to the respiratory system (HR: 6.95; 95% CI: 1.29-27.7), and presence of dyspnea at admission (HR: 4; 95% CI: 1.31-12.3) were statistically significantly associated with death (P = 0.01, 0.02, and 0.01, respectively). CONCLUSION: Our practices supported that cancer patients were more affected by COVID-19 disease than the normal population. However, our findings can not be generalized due to being retrospective and single centered study, Also, we did not compare the findings with noncancer patients with COVID19 disease.