The purpose of this study was to determine the role of red cell distribution width (RDW), neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) in the diagnostic phase of acute pulmonary embolism (PE). We screened 248 consecutive patients who were admitted to the emergency service with PE foremost in the differential diagnosis. Based on spiral computed chest tomography, the patients were divided into two groups. There were 112 confirmed cases of acute PE and 138 patients without PE. Blood samples were obtained within 2 hours of presentation and before starting any medication. There were no significant differences between the PE and the non-PE groups with respect to sex, age, frequency of disease, serum creatinine, sodium, and potassium (p > 0.05 for all). NLR, RDW, and PLR were higher in patients with PE than those without PE. High-sensitivity C-reactive protein, D-dimer, and troponin levels were also higher in patients with PE. RDW values were positively correlated with troponin levels (r = 0.147, p = 0.021). There were no correlations between RDW and NLR, PLR, or D-dimer. NLR had a highly positive correlation with PLR (r = 0.488, p < 0.001). In multivariate logistic regression analysis, troponin I, D-dimer, high-sensitivity C-reactive protein, and RDW were found to be independent predictors of PE [odds ratio (95% confidence interval) respectively: 5.208 (2.534-10.704), 1.242 (1.094-1.409), 1.005 (1.000-1.010), 1.175 (1.052-1.312)]. In receiver operating characteristic analysis of the patients in the study, RDW >18.9 predicted acute PE with a sensitivity of 20.7% and a specificity of 93.4%. In conclusion, RDW can be considered useful as a diagnostic measure for patients with suspected acute PE.

Acute coronary syndrome (ACS) is a serious condition arising from an imbalance of supply and demand to meet myocardium's metabolic needs. Patients typically present with retrosternal chest pain radiating to neck and left arm. Electrocardiography (ECG) and laboratory tests are used indiagnosis. However in emergency departments, there are some difficulties for physicians to decide whether hospitalizing, following up or discharging the patient. The aim of the study is to diagnose ACS and helping the physician with his decisionto discharge or to hospitalizevia machine learning techniques such as support vector machine (SVM) by using patient data including age, sex, risk factors, and cardiac enzymes (CK-MB, Troponin I) of patients presenting to emergency department with chest pain. Clinical, laboratory, and imaging data of 228 patients presenting to emergency department with chest pain were reviewedand the performance of support vector machine. Four different methods (Support vector machine (SVM), Artificial neural network (ANN), Naïve Bayes and Logistic Regression) were tested and the results of SVM which has the highest accuracy is reported. Among 228 patients aged 19 to 91 years who were included in the study, 99 (43.4 %) were qualified as ACS, while 129 (56.5 %) had no ACS. The classification model using SVM attained a 99.13 % classification success. The present study showed a 99.13 % classification success for ACS diagnosis attained by Support Vector Machine. This study showed that machine learning techniques may help emergency department staff make decisions by rapidly producing relevant data.

No abstract

The present study demonstrated that in patients with CSF, both increased plasma ET-1, decreased plasma NOx and diffuse atherosclerosis may cause the decrease in HRV by effecting myocardial blood flow.

No abstract

SUMMARY: Health care-associated infections (HCAIs) cause considerable morbidity and mortality in pediatric intensive care units (PICUs). The objective of this point prevalence study was to assess the burden of HCAIs in PICUs in Turkey. Fifty PICUs participated in this study. Data regarding demographics, microbiological findings, therapeutic interventions, and outcomes were collected for all PICU inpatients. A total of 327 patients participated in the study: 122 (37z) experienced 1 or more HCAI. The most frequently reported site of infection was lower respiratory tract (n＝77, 63z). The most frequently isolated pathogens were Pseudomonas aeruginosa, Acinetobacter species, and Candida species. Two hundred and forty-seven patients (75z) were receiving antimicrobial therapy at the time of the survey, and the most frequently administered antimicrobials were third generation cephalosporins. Hospital type, male, PICU stay ＞7 days, and mechanical ventilation were found to be independent risk factors for HCAIs. At the 4-week follow up, 43 (13z) patients had died, 28 (65z) of whom died of HCAIs. Endotracheal intubation, urinary catheter, male, and HCAIs were independent risk factors for mortality. This national, multicenter study documented a high prevalence of HCAIs in Turkey. In light of the`primum non nocere' principle, the prevention of these infections should be a priority of public health policy.

The results of this study show that there is an important pathophysiologic link between the increased levels of plasma Hcy, the degree of ischemic findings, and the severity of slow flow in SCF patients.

Association between serum adropin levels and isolated coronary artery ectasia in patients with stable angina pectoris Objective: Dilation of one or more coronary artery segments to a diameter at least 1.5 times that of a normal adjacent segment is referred to as coronary artery ectasia (CAE). Adropin is a protein involved in endothelial function and is shown to have a protective effect on the regulation of cardiac functions. Atherosclerosis and endothelial dysfunction play an important role in the development of CAE. The aim of this study was to investigate the association between serum adropin levels and isolated CAE. Methods: Patients with stable angina pectoris who underwent coronary angiography (CAG) between August 2017 and July 2018 were evaluated prospectively. A total of 92 subjects were included in the study-40 patients over 18 years old and diagnosed with isolated CAE based on CAG findings and a control group of 52 patients. Results: Serum adropin level was found to be significantly lower in the isolated CAE group compared to the control group (1019.57 pg/mL and 1151.10 pg/mL, respectively, p=0.010). The isolated CAE group also exhibited a significantly higher mean platelet volume than that in the control group (10.75 fL and 10.17 fL, respectively, p=0.011). Conclusion: Our results show that there is an association between low serum adropin level and isolated CAE.