was observed, patients with heart failure having a higher mortality. To investigate chest computed tomography (CT) findings associated with severe COVID-19 pneumonia in the early recovery period. We retrospectively analyzed the cases of patients diagnosed with severe COVID-19 pneumonia at a single center between January 12, 2020, and March 16, 2020. The twelve ICU patients studied had been diagnosed SARS-CoV-2 (COVID-19) nucleic acid positive. Patient clinical symptoms were relieved or disappeared, and basic clinical information and laboratory test results were collected. The study focused on the most recent CT imaging characteristics. The average age of the 12 patients was 58.8±16.2years. The most prevalent symptoms were fever (100%), dyspnea (100%), and cough (83.3%). All patients experienced acute respiratory distress syndrome (ARDS), of which 9 were moderate to severe. Six patients used noninvasive ventilators, and 4 patients used mechanical ventilation. One patient was treated with extracorporeal membrane oxygenation (ECMO). The lymphocyte count decreased to 0.67±0.3 (× 10 /L). The average day from illness onset to the last follow-up CT was 56.1±7.7 d. The CT results showed a decrease in ground glass opacities (GGO), whereas fibrosis gradually increased. The common CT features included GGO (10/12, 83.3%), subpleural line (10/12, 83.3%), fibrous stripes (12/12, 100%), and traction bronchiectasis (10/12, 83.3%). Eight patients (66.7%) showed predominant reticulation and interlobular thickening. Four patients (33.3%) showed predominant GGO. Lung segments involved were 174/216 (80.6%). Fibrous stripes and GGO are common CT signs in critically ill patients with COVID-19 pneumonia in the early recovery period. Signs of pulmonary fibrosis in survivors should be carefully monitored. Fibrous stripes and GGO are common CT signs in critically ill patients with COVID-19 pneumonia in the early recovery period. Signs of pulmonary fibrosis in survivors should be carefully monitored. High-sensitivity cardiac troponin assays (hs-cTn) aid in diagnosis of myocardial infarction (MI). These assays have lower specificity for non-ST Elevation MI (NSTEMI) in patients with renal disease. Our objective was to determine an optimized cutoff for patients with renal disease. We conducted an a priori secondary analysis of a prospective FDA study in adults with suspected MI presenting to 29 academic urban EDs between 4/2015 and 4/2016. https://www.selleckchem.com/products/Mycophenolic-acid(Mycophenolate).html Blood was drawn 0, 1, 2-3, and 6-9h after ED arrival. We recorded cTn and estimated glomerular filtrate rate (eGFR) by Chronic Kidney Disease Epidemiology Collaboration equation. The primary endpoint was NSTEMI (Third Universal Definition of MI), adjudicated by physicians blinded to hs-cTn results. We generated an adjusted hscTn rule-in cutoff to increase specificity. 2505 subjects were enrolled; 234 were excluded. Patients were mostly male (55.7%) and white (57.2%), median age was 56years 472 patients [20.8%] had an eGFR <60mL/min/1.73m2. In patients with eGFR <15mL/min/1.73m2, a baseline rule-in cutoff of 120ng/L led to a specificity of 85.0% and Positive Predictive Value (PPV) of 62.5% with 774 patients requiring further observation. Increasing the cutoff to 600ng/L increased specificity and PPV overall and in every eGFR subgroup (specificity and PPV 93.3% and 78.9%, respectively for eGFR <15mL/min/1.73m ), while increasing the number (79) of patients requiring observation. An eGFR-adjusted baseline rule-in threshold for the Siemens Atellica hs-cTnI improves specificity with identical sensitivity. Further study in a prospective cohort with higher rates of renal disease is warranted. An eGFR-adjusted baseline rule-in threshold for the Siemens Atellica hs-cTnI improves specificity with identical sensitivity. Further study in a prospective cohort with higher rates of renal disease is warranted. Aim of this study is to investigate effectiveness of the monocyte to HDL cholesterol ratio in patients diagnosed with pulmonary embolism for predicting intra-hospital mortality. A total of 269 patients diagnosed with pulmonary embolism in the emergency clinic were included in the study. Study was conducted retrospectively. Pulmonary Embolism Severity Index (PESI), Monocyte count and high density lipoprotein cholesterol (HDL) values were determined. MHR values of the patients were calculated. SPSS 26 package program was used to investigate the effectiveness of MHR in predicting mortality. Mean age of the patients was 64.51±12.4years. PESI, Number of monocytes and MHR were significantly higher in the group with mortality than the group without mortality (p<.05). HDL values were significantly lower (p<.05) in mortality group. Sensitivity of MHR 19 cut off value was 89.3%, and its specificity was 82.0%. Use of predictors for mortality estimation in patients diagnosed with acute pulmonary embolism is important for faster administration of treatment modalities. We think MHR values can be used as a strong predictor according to the hemogram parameters and biochemical results. Use of predictors for mortality estimation in patients diagnosed with acute pulmonary embolism is important for faster administration of treatment modalities. We think MHR values can be used as a strong predictor according to the hemogram parameters and biochemical results. Many biomarkers and scoring systems to make clinical predictions about the prognosis of sepsis have been investigated. In this study, we aimed to assess the use of the quick sequential organ failure assessment score (qSOFA) and modified early warning score (MEWS) scoring systems in emergency health care services for sepsis to predict intensive care hospitalization and 28-day mortality. Patients who arrived by ambulance at the Emergency Department (ED) of Dışkapı YıldırımBeyazıt Training and Research Hospital between January 2017 and December 2019, and who were diagnosed with sepsis and admitted to the hospital were included in the study. Demographic data and physiological parameters from 112 ambulance case delivery forms were recorded.QSOFA and MEWS scores were calculated from vital parameters. Of the 266 patients diagnosed with sepsis, 50% (n=133) were female, and the mean age was 74.8±13. The difference between the rate of intensive care (ICU) hospitalization and mortality for patients with a high MEWS and qSOFA score and patients whose MEWS and qSOFA score were lower was found to be statistically significant (p<0.