Objectives: Adropin is a novel marker of metabolic syndrome and insulin resistance. The aim of this study was to explore the association of serum adropin levels with hepatosteatosis among adult patients. Materials and Methods: Serum biochemical parameters including liver and renal function tests, insulin levels, and serum adropin levels were compared between adult patients with nonalcoholic fatty liver disease (NAFLD) and healthy control cases. Results: A total of 51 patients with a mean age of 37.9 ± 9.96 years diagnosed with grade 2–3 hepatosteatosis and 30 healthy control cases with a mean age of 34.8 ± 9.5 years were included in the study. Serum adropin levels in the NAFLD group were statistically significantly lower than in the control cases (588.4 ± 261.0 vs. 894.2 ± 301.2, respectively; p < 0.001). The study participants were further subdivided into 2 groups as patients with (n = 35) or without (n = 46) insulin resistance using the serum homeostatic model of assessment-insulin resistance (HOMA-IR). Serum adropin levels were statistically significantly lower in patients with insulin resistance (p < 0.01). There was a negative correlation between adropin levels and serum insulin, HOMA-IR, urea, gamma-glutamyl transferase, total cholesterol, and triglyceride levels. Conclusion: We observed a decrease in serum adropin levels among adult patients with NAFLD. We also found lower levels of serum adropin in patients with insulin resistance, supporting previous data in the literature. Studies investigating the association of adropin levels with other inflammatory parameters are warranted to define its exact role in the pathogenesis of hepatosteatosis.

The aims of this study are to determine the incidence and risk factors of thrombosis and bleeding in polycythemia vera (PV) patients and to research the effects of these risk factors on survival. The medical records of 155 PV patients were analyzed retrospectively. Patients were divided into groups according to whether or not thrombosis had developed in follow-up, and according to whether or not bleeding had occurred during follow-up. The mean age at diagnosis was 53 years, and the mean follow-up period was 66 months. The percentage of cases in which thrombosis events had occurred before diagnosis and during follow-up were 26 and 28 %, respectively. Comparisons of disease duration and average thrombosis risk score between groups with or without thrombosis drew statistically significant results. A patient's history of thrombosis and thrombocytosis at first visit was found to have a significant effect on thrombosis recurrence. The major bleeding rate was 8 %. Post-PV myelofibrosis was an independent risk factor for bleeding. The major cause of death among the patients in this study was primary thrombosis. The most important causes of mortality among PV patients are thrombosis, and the most prominent risk factors for thrombosis development are disease duration and high thrombosis risk scores. Thrombocytosis in patients with a history of thrombosis may cause thrombosis recurrence during the follow-up period.

Due to current advances and growing experience in the management of coronavirus Disease 2019 , the outcome of COVID-19 patients with severe/critical illness would be expected to be better in the second wave compared with the first wave. As our hospitalization criteria changed in the second wave, we aimed to investigate whether a favorable outcome occurred in hospitalized COVID-19 patients with only severe/critical illness. Among 642 laboratory-confirmed hospitalized COVID-19 patients in the first wave and 1121 in the second wave, those who met World Health Organization (WHO) definitions for severe or critical illness on admission or during follow-up were surveyed. Data on demographics, comorbidities, C-reactive protein (CRP) levels on admission, and outcomes were obtained from an electronic hospital database. Univariate analysis was performed to compare the characteristics of patients in the first and second waves. There were 228 (35.5%) patients with severe/critical illness in the first wave and 681 (60.7%) in the second wave. Both groups were similar in terms of age, gender, and comorbidities, other than chronic kidney disease. Median serum CRP levels were significantly higher in patients in the second wave compared with those in the first wave [109 mg/L (interquartile range [IQR]: 65-157) vs. 87 mg/L (IQR: 39-140); p < 0.001]. However, intensive care unit admission and mortality rates were similar among the waves.Even though a lower mortality rate in the second wave has been reported in previous studies, including all hospitalized COVID-19 patients, we found similar demographics and outcomes among hospitalized COVID-19 patients with severe/ critical illness in the first and second wave.

Antihypertensive therapies were individualized, as suggested by the consensus report. However, there are proposals still to be considered in special patient groups.

Background: There are some adverse effects with coronavirus disease 2019 (COVID-19) vaccines, but the impact of COVID-19 vaccination on attacks in hereditary angioedema (HAE) is not well defined. Objective: We aimed to investigate the influence of COVID-19 vaccination on the course of HAE. Method: The COVID-19 vaccination status was determined in 140 adult patients with HAE. The number and severity of attacks recorded from patients' diaries were evaluated at four different periods, comprising 1 month before the first dose, the period between the first and the second doses of COVID-19 vaccine in all the patients, the period between the second dose and the third doses in those who received three doses, and 1 month after the last vaccination dose. The disease and attack severities were assessed with the disease severity score (DSS) and 10-point visual analog scale, respectively. The patients were divided into two main groups as group 1 (those who had at least two doses of COVID-19 vaccines [n = 114]) and group 2 (those who had no vaccination [n = 26]). Only Sinovac and Biontech, which were only approved in Turkey. Results: The mean ± standard deviation DSS was significantly higher in the patients who experienced an attack after vaccination within 48 hours (6.61 ± 1.88 versus 4.14 ± 1.69; p < 0.001). Long-term prophylaxis was less common in the patients with an increased number of attacks (n = 5 (27.8%) versus n = 54 (56.3%); p = 0.027). The number of patients with less than a high school education was higher in group 2 (n = 23 [88.5%]) than in group 1 (n = 26 [3.1%]) (p < 0.001). The number of patients who had concerns about the triggering of a vaccine-induced HAE attack or about the possible vaccine adverse effects was higher in group 2 (n = 26 [100%]) than in group 1 (n = 74 [64.9%]). Conclusion: It seems that COVID-19 vaccination does not increase HAE attacks regardless of the type of the vaccines. We recommend that HAE activity should be under control before COVID-19 vaccination, and the patients should be well informed about the safety of the vaccines.

Although urinary IGFBP7 and TIMP-2 levels are used as biomarkers for early detection of AKI for patients in intensive care units and after surgery, they seem not to be useful for early detection of AKI due to cisplatin.

Objective: Activated macrophages (M1-type macrophages) in adipose tissue secrete many proinflammatory cytokines that induce insulin resistance (IR). Oncostatin M (OSM), a member of the interleukin-6 (IL-6) family of Gp130 cytokines, plays an important role in a variety of biological functions, including the regulation of inflammatory responses. Proinflammatory cytokines released in patients with IR trigger a chronic, low-grade inflammatory reaction in blood vessel walls. This inflammator response leads to endothelial damage, which is the main mechanism for atherosclerosis and many cardiovascular diseases. Animal studies have reported a relationship between OSM and IR. To the best of our knowledge, however, few clinical studies have examined this topic. Therefore, we studied the relationship between serum levels of OSM and IR. Subjects and methods: This prospective cross-sectional case-control study enrolled 50 people with IR (according to the HOMA-IR and QUICKI indices) and 34 healthy controls. The fasting blood concentrations of insulin, glucose, blood urea nitrogen (BUN), creatinine, aspartate aminotransferase (AST), alanine aminotransferase (ALT), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride, total cholesterol, C-reactive protein (CRP), and OSM were determined. Results: There were no significant differences between the two groups in age, sex, and HbA1c levels. Univariate analyses showed that waist circumference (WC) and levels of fasting glucose, insulin, CRP, HDL-C, OSM, HOMA-IR, and QUICKI differed between the two study groups. In multivariate analyses, both IR indices (QUICKI and HOMA) and OSM differed between the two groups. Conclusion: OSM was correlated with the IR indices (QUICKI and HOMA). For simplicity, it might replace the other IR indices in the future. Further detailed studies are needed to confirm this.

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