SUMMARY OBJECTIVE Metabolic syndrome (MS) is a clinical entity that associated with increased risk of type 2 Diabetes Mellitus (DM) and cardiovascular diseases. Serum uric acid levels are correlated MS criteria. We hypothesized whether a uric acid to HDL-cholesterol ratio (UHR) could predict diabetic regulation and presence of MS in type 2 diabetic subjects. METHODS Admissions of the subjects with type 2 DM to outpatient clinics of our institution were retrospectively analyzed. Study population grouped into well-controlled and poorly controlled diabetics according to the HbA1c level (cut off 7%) and further grouped into type 2 DM with and without MS according to the presence of MS. UHR of study groups compared. RESULTS A hundred diabetic subjects enrolled. Mean UHR was significantly lower in well-controlled diabetics (9.7 ± 3.7%) compared to poorly controlled subjects (14 ± 5.4%) (p<0.001). Median UHR of diabetics with MS (13 (6-29) %) was greater than that of the diabetics without MS (9 (3-16) %) (p<0.001). UHR greater than 11% has 77% sensitivity and 60% specifity in predicting worse diabetic control (AUC: 0.752, p<0.001) and a UHR greater than 10.6% has 83% sensitivity and 71% specifity in predicting MS (AUC: 0.839, p<0.001). Sensitivity and specifity of UHR in predicting MS were better than most of the sensitivities and specifities of the five criteria of MS. CONCLUSION We suggest utilization of UHR in diagnosis of MS as a novel criteria. Nevertheless, prospective studies with larger population may make a better scientific evidence in that issue.

Introduction The prognostic value of hematological indices in cardiovascular diseases and the association between these parameters and cardiovascular conditions have been established in the literature. Aim In this study, we aimed to investigate the relation of mean platelet volume (MPV), MPV...

We aimed to search eosinophil (EOS) counts in elderly acute coronary syndrome (ACS) subjects and to investigate its value for discrimation between unstable angina pectoris (UAP) and myocardial infarction (MI) [non-ST elevation MI (NSTEMI) or ST elevation MI (STEMI)]. The patients were divided into three groups regarding the diagnosis: patients with UAP (63), with NSTEMI (154), and with STEMI (73). General characteristics such as gender, age, systolic and diastolic blood pressure were obtained from patients’ files. Complete blood count and biochemical parameters were measured before coronary angiography. EOS was found significantly higher in UAP (0.134 (0.002–0.746) u/mm³) compared to NSTEMI (0.085(0.001–0.601) u/mm³) and STEMI (0.020(0.001–0.479) u/mm³) groups. Kruskal–Wallis test with Bonferroni-corrected Mann–Whitney U-test revealed that EOS count was significantly different between UAP and NSTEMI (p < .001), UAP and STEMI (p < .001) and NSTEMI and STEMI (p < .001) groups. A receiver operating curve (ROC) analysis revealed that a cut-off >0.083 u/mm³ EOS value had a sensitivity of 79% and specificity of 57% for determination of ACS as UAP (AUC = 0.686, 95% CI, 0.617–0.755). In the present study, we detected an inverse relationship between the number of blood eosinophil count and the severity of ACS subgroups in elderly patients with higher counts in UAP than MI groups.

SUMMARY OBJECTIVE Coronary collateral development (CCD) predicts the severity of coronary heart disease. Hemogram parameters, such as mean platelet volume (MPV), eosinophil, red cell distribution width, and platelet distribution width (PDW), are supposed novel inflammatory markers. We aimed to compare hemogram parameter values in patients presenting with non-ST-elevation myocardial infarction (NSTEMI) with adequate or inadequate CCD. METHODS A total of 177 patients with NSTEMI undergoing coronary arteriography were enrolled and divided into two groups based on the development of CCD: one group with adequate CCD (n=88) and the other with impaired CCD (n=89). RESULTS Baseline demographics and clinical risk factors were similar between the groups. Hemogram parameters were not significantly different between the two groups. However, compared to the inadequate CCD group, the median PDW was significantly higher in the adequate CCD group, 17.6 (1.4) vs. 17.8 (1.6) p=0.004. In a multivariate analysis, PDW (p=0.001, 95% CI for OR: 0.489(0,319-0,750) was found to be significantly different in the adequate CCD group compared to the inadequate CCD group. Pearson’s correlation analysis revealed that PDW was significantly correlated with the Rentrop score (r=0.26, p<0.001). CONCLUSIONS We suggest that since PDW is an index that is inexpensive and easy to assess, it could serve as a marker of CCD in patients with NSTEMI.