Abstract:Background:Acute kidney injury, which was previously named as acute renal failure, is a complex clinical disorder and continues to be associated with poor outcomes. It is frequently seen in hospitalized patients, especially in critically ill patients. The primary causes of acute kidney injury are divided into three categories: prerenal, intrinsic renal and postrenal. The definition and staging of acute kidney injury are mainly based on the risk, injury, failure, loss, end-stage kidney disease (RIFLE) criteria and the acute kidney injury network (AKIN) criteria, which have previously been defined. However the clinical utility of these criteria is still uncertain. Several biomarkers such as Cystatin C and neutrophil gelatinase-associated lipocalin have been suggested for the diagnosis, severity classification and most importantly, the modification of outcome in acute kidney injury.Methods:Current literature on the definition, biomarkers, management and epidemiology of acute kidney injury was reviewed by searching keywords in Medline and PubMed databases.Results:The epidemiology, pathophysiology and diagnosis of acute kidney injury were discussed. The clinical implications of novel biomarkers and management of acute kidney injury were also discussed.Conclusions:The current definitions of acute kidney injury are based on the RIFLE, AKIN and KDIGO criteria. Although these criteria have been widely validated, some of limitations are still remain. Since acute kidney injury is common and harmful, all preventive measures should be taken to avoid its occurrence. Currently, there is no a definitive role for novel biomarkers.
Mechanical index (MI) is a measure of acoustic power. It is generally omitted during routine echocardiographic imaging. By adjusting the MI, an echocardiographer can perform various contrast-specific imaging modalities during the same session.
Objective: Acute heart failure (AHF) is a life-threatening clinical syndrome characterized by rapid onset of heart failure (HF) symptoms and signs and requires urgent therapy. The aim of the present study was to evaluate the overall clinical characteristics, management, and in-hospital outcomes of hospitalized patients with AHF in a large sample of Turkish population. Methods: The Journey HF-TR study is a cross-sectional, multicenter, non-invasive and observational trial. Patients who were hospitalized with a diagnosis of AHF in the intensive care unit (ICU)/coronary care unit and cardiology wards between September 2015 and September 2016 were included in our study. Results: A total of 1606 (male: 57.2%, mean age: 67.8±13 years) patients who were diagnosed with AHF were enrolled in the study. Seventeen percent of the patients were admitted to the hospital with a diagnosis of new onset AHF. Hypertension (67%) and coronary artery disease (CAD) (59.6%) were the most frequent underlying diseases. Acute coronary syndrome accompanying HF (14.7%), infection (29.3%), arrhythmia (25.1%), renal dysfunction (23%), and non-compliance with medication (23.8%) were the precipitating factors. The median length of stay in the ICU was 3 days (interquartile range, IQR 1–72) and 7 days (IQR 1–72) for in-hospital journey. The guideline recommended medications were less likely used in our patient population (<73%) before admission and were similar to European and US registers at discharge. The in-hospital mortality rate was 7.6%. Hypertension and CAD were the most frequent underlying diseases in our population similar to other European surveys. Although our study population was younger than other registers, in-hospital mortality was high. Conclusion: Analyses of such real-world data will help to prepare a national database and distinctive diagnosis and treatment algorithms and to provide observing compliance with the current European Society of Cardiology guidelines for more effective management of HF.
ST segment elevation myocardial infarction (STEMI) is one of the most common global causes of cardiovascular disease‐related death. Several metabolites may change during STEMI. Hence, analysis of metabolites in body fluid may be considered as a rapid and accurate test for initial diagnosis. This study has therefore attempted to determine the variation in metabolites identified in the serum of STEMI patients (n = 20) and 15 controls. Samples collected from the Cardiology Department, Medical Faculty, Ataturk University, were extracted by liquid–liquid extraction and analysed using liquid chromatography quadrupole time‐of‐flight mass spectrometry. The METLIN database was used for the identification and characterization of metabolites. According to Q‐TOF/MS measurements, 231 m/z values, which were significantly different between groups (P < 0.01 and fold analysis >1.5) were detected. Metabolite identification was achieved via the Human Metabolome database. According to the multivariate data analysis, leucine, isoleucine, l‐proline, l‐alanine, glycine, fumaric acid, citrate, succinate and carnitine levels were decreased, whereas levels of propionic acid, maleic acid, butyric acid, urea, oleic acid, palmitic acid, lysoPC [18:2(9Z)], glycerol, phoshpatidylethanolamine, caffeine and l‐lactic acid were increased in STEMI patients compared with controls. In conclusion, malonic acid, maleic acid, fumaric acid and palmitic acid can be used as biomarkers for early risk stratification of patients with STEMI.
ObjectiveTo determine whether mean platelet volume (MPV), platelet distribution width (PDW), and platelet count could be used as determinants of mortality following coronary artery bypass graft (CABG) surgery and patency of saphenous vein grafts (SVG).MethodsThe records of 128 patients who underwent emergency or elective coronary angiography after CABG surgery, and who died at an early stage were retrospectively reviewed. Patients were divided into three groups as early death, no SVG disease (SVGD), and SVGD group. MPV, PDW, and platelet count were evaluated at different times.ResultsMPV was significantly higher in the stenotic group than in the nonstenotic group (9.7±1.8 fl and 8.2±0.9 fl, P<0.05). The postoperative MPV ratio was found to be higher in the stenotic group when compared to the preoperative period (9.6±1.8 fl and 7.8±0.9 fl, P<0.05). MPV values were also found to be higher in patients who died during the early stage than in surviving patients (9.4±1.9 fl and 8.0±1.0 fl, P<0.05). There was no statistically significant difference regarding platelet count and PDW ratios between the early deaths group and surviving patients. An MPV value higher than 10.6 predicted SVGD with 85% sensitivity and 45% specificity; and an MPV higher than 7.9 predicted early death with 80% sensitivity and 68% specificity were observed.ConclusionMPV may be a useful indicator for the prediction of SVGD and mortality following CABG surgery.
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