Highlights Decrease in %LUC (Large unstained cells%) value predicts severe SARS-CoV-2 infection. Laboratory parameters associated with the severe illness in COVID-19 patients. The optimal cut-off values of relevant parameters to define risk of critical illness. The relevant coagulation abnormalities to predict severe patients with COVID-19.

ObjectivesThis study aimed to predict patients who have caesarean operations under regional anaesthesia and are at risk for intraoperative nausea and vomiting (IONV), for ultimately prompting anaesthetists and surgeons to take preventive measures.MethodsThis was a retrospective study on 209 patients who had caesarean section under spinal-epidural combined regional anaesthesia. The relevant medical history, such as severe nausea and vomiting in the first trimester, smoking, a history of motion sickness, and premenstrual syndrome (PMS), were obtained from the patients’ records and interviews.ResultsPatients who had a female neonate, a history of severe nausea and vomiting in the first trimester, and a history of PMS and motion sickness before pregnancy experienced a significantly higher rate of IONV. Smokers were less susceptible to IONV, but this was not significant.ConclusionThis study shows that some factors in the medical history of a patient can help identify those who are more likely to suffer from IONV.

Objectives During the pandemic, anxiety, stress, and depression may occur increasingly in the whole society. To evaluate the possible cause, incidence and levels of anxiety and depression in the relatives of the patients in the ICU in accordance with the patients’ SARS‐CoV‐2 PCR result. Materials and Method The study was prospectively conducted on relatives of patients admitted to tertiary intensive care units during COVID‐19 pandemic. Sociodemographic characteristics of the patients and their relatives were recorded. “The Turkish version of the Hospital Anxiety and Depression Scale” survey was applied twice to the relatives of 120 patients to determine the symptoms of anxiety and depression in accordance with the PCR results of the patients (PCR positive n=60, PCR negative n=60). Results The ratios above cut‐off values for anxiety and depression among relatives of the patients were 45.8% and 67.5% for the first test and 46.7% and 62.5% for the second test respectively. The anxiety and depression in the relatives of PCR positive patients was more frequent than the PCR negative (p< 0.001 for HADS‐A and p=0.034 for HADS‐D). The prevalence of anxiety and depression was significantly higher in female participants (p=0.046 for HADS‐A and p=0.009 for HADS‐A). There was no significant correlation between HADS and age of the patient or education of the participants. The fact that the patients were hospitalized in the ICU during the pandemic was an independent risk factor for anxiety (AUC = 0.746) while restriction of patient visiting in the ICU was found to be an independent risk factor for depression (AUC= 0.703). Conclusion While patient with positive PCR and participant with female gender is responsible for both anxiety and depression, hospitalization in the ICU due to COVID‐19 is an independent risk factor for anxiety and restriction of patient visiting in the ICU is an independent risk factor for depression.

Objectives: During the pandemic, anxiety, stress, and depression may occur increasingly in the whole society. To evaluate the possible cause, incidence and levels of anxiety and depression in the relatives of the patients in the ICU in accordance with the patients’ SARS-CoV-2 PCR result. Materials and Method: The study was prospectively conducted on relatives of patients admitted to tertiary ICU during COVID-19 pandemic. Sociodemographic characteristics of the patients and their relatives were recorded. “The Turkish version of the Hospital Anxiety and Depression Scale” questionnaire was applied twice to the relatives of 120 patients to determine the symptoms of anxiety and depression in accordance with the PCR results of the patients (PCR positive n=60, PCR negative n=60). Results: The ratios above cut-off values for anxiety and depression among relatives of the patients were 45,8% and 67,5% for the first test and 46,7% and 62,5% for the second test respectively. The anxiety and depression in the relatives of PCR positive patients was more frequent than the PCR negative (p< 0,001 for HADS-A and p=0,034 for HADS-D). The prevalence of anxiety and depression was significantly higher in female participants (p=0,046 for HADS-A and p=0,009 for HADS-A). There was no significant correlation between HADS and age of the patient or education of the participants. The fact that the patients were hospitalized in the ICU during the pandemic was an independent risk factor for anxiety (AUC = 0.746) while restriction of patient visiting in the ICU was found to be an independent risk factor for depression (AUC= 0.703). Conclusion: While patient with positive PCR and participant with female gender is responsible for both anxiety and depression, hospitalization in the ICU due to COVID-19 is an independent risk factor for anxiety and restriction of patient visiting in the ICU is an independent risk factor for depression.

Objective: We aimed to compare laboratory and outcome of the patients who were hospitalized in the intensive care unit with the diagnosis of Coronavirus Disease-19 (COVID-19) and transfused convalescent plasma based on timing of treatment. Methods: Patients administered 200 mL of convalescent plasma were analysed retrospectively. Based on symptoms’ onset, patients were divided into two groups as early (≤ 7 days) and late (> 7 days) plasma treatment groups. Patients’ characteristics, comorbidities, treatments, laboratory (pre-transfusion, day 1 and day 3 after transfusion) and outcome were evaluated according to groups. Results: A total of 152 patients matched criteria. There was no difference between the early (n=82) and late (n=70) treatment groups in terms of demographic characteristics, comorbidities, treatments, outcomes. Ferritin levels were higher in the early treatment group than in the late treatment group on before transfusion and day 1 (p=0.023, p=0.015). C reactive protein value was lower in the late treatment group on day 3 (p=0.011). Comparing the rate of change between day 1 and day 3 of treatment, it was observed that the changes in ferritin and fibrinogen values were higher in the late group than in the early group (p=0.014, p=0.049). There was no difference between the groups in other laboratory values and outcome. Conclusion: In our study, we observed that the timing of convalescent plasma had no significant effect on outcome. However, more evidence was needed to prove the difference in laboratory results. Keywords: Intensive care unit, COVID-19, convalescent plasma, mortality