Aim: This study aimed to investigate hemogram parameters and C-reactive protein (CRP) that can be used in clinical practice to predict mortality in hospitalized patients with a diagnosis of COVID-19.Methods: This cohort study was conducted at University Hospital, which is a designated hospital for COVID-19 patients. Adult patients who were admitted to our hospital emergency department with suspected COVID-19 and who were hospitalized in our institution with a COVID-19 diagnosis were analysed.Results: There were 148 patients hospitalized with COVID-19. All-cause mortality of follow-up was 12.8%. There were statistically significant results between the two groups (survivors and nonsurvivors), which were classified based on hospital mortality rates, in terms of the lymphocyte to C-reactive protein ratio (LCRP), systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-tolymphocyte ratio (PLR), CRP concentration and comorbid disease. In a receiver operating characteristic (ROC), curve analysis, LCRP, NLR, PLR and SII area under the curve (AUC) for in-hospital mortality were 0.817, 0.816, 0.733 and 0.742, respectively. Based on an LCRP value of 1 for in-hospital mortality, the sensitivity and specificity rates were 100% and 86.8%, respectively. Based on the average SII of 2699 for in-hospital mortality, the sensitivity, specificity and accuracy rates were 68.4%, 77.5% and 76.3%, respectively. A total of 19 patients died during hospitalization. All of these patients had an LCRP level ≤ 1; 14 had an NLR level ≤ 10.8; 13 had an SII ≥ 2699 (Fisher's exact test, P = .000). Independent predictors of in-hospital mortality rates were LCRP < 1, PLR, SII ≥ 2699, white blood cell count, CRP, age, comorbidities, and ICU stay. Conclusions:We concluded that inflammatory parameters, such as LRCP, SII and NLR, were associated with disease severity and could be used as potentially important risk factors for COVID-19 progression. What's known• COVID-19 has infected approximately 32 million people.• The patient load has seriously disturbed medical institutions.• There are studies showing that inflammation markers are used as an early warning signal of severe

Prosthetic heart valve thrombosis (PVT) is a rare but serious complication with high morbidity and mortality. The optimal treatment of the PVT is controversial and depends on thrombus location and size, the patient’s functional class, the risk of surgery or thrombolysis, and the clinician’s experience. Although surgical therapy has been the traditional therapeutic approach, studies with low-dose and slow-infusion rates of thrombolytic agents have revealed excellent results. This article reviews the various treatment options in patient with PVT.

MPV, NLR, and troponin T can be used as parameters that indicate brain pathologies on CT scans of patients presenting to the emergency department with isolated minor head trauma and GCS of 15 when the necessity of a CT scan is otherwise unclear.

BACKGROUND:Only one diagnostic parameter is not available for acute appendicitis. For the establishment of diagnosis, combination of medical history, clinical, laboratory tests, and radiological imaging modalities are used so as to decrease the rates of negative laparotomy and morbidity secondary to delay in diagnosis. Thepresent study aimed to determine haematological and inflammatory markers which will be used in the discrimination of acute appendicitis (AA) and renal colic which are the most frequent and indistinguishable causes of abdominal pain in patients applying to the emergency service.

Objectives: The association between objective nutritional indexes and prognosis in patients with acute heart failure have not been well studied. Therefore, we aimed to compare the prognostic value of modified Glasgow prognostic score, prognostic nutritional index, controlling nutritional status score, and geriatric nutritional risk index for the prediction of in-hospital mortality in patients with acute heart failure. Methods: All consecutive elderly patients (aged ≥65 years) who had tests for C-reactive protein, total lymphocyte count, total cholesterol, and albumin levels at admission, and hospitalized due to acute heart failure were retrospectively included. The primary endpoint of the study was in-hospital mortality. We used a base model for the prediction of in-hospital mortality, including age, gender, log N-terminal pro-B-type natriuretic peptide, and the presence of coronary artery disease. We added each of the malnutrition scores, in turn, to the base model and used C-statistics to evaluate model discrimination in survival analysis. Results: A total of 628 patients were included, and 80 (12.7%) of the patients died during the hospital stay. Multivariate analysis showed that older age, prognostic nutritional index < 41.2, controlling nutritional status score > 5, geriatric nutritional risk index <92, and modified Glasgow prognostic score were independent predictors of in-hospital mortality. Among the malnutrition scores, geriatric nutritional risk index increased model performance most compared with base model. Conclusion: Though all objective nutritional indexes were associated with prognosis in elderly patients with acute heart failure, geriatric nutritional risk index was superior to other scores in predicting in-hospital mortality.