Gokhan Bektasoglu

Usefulness of Admission Red Cell Distribution Width as a Predictor of Early Mortality in Patients With Acute Pulmonary Embolism

Red cell distribution width (RDW) is strongly associated with prognosis in cardiopulmonary disorders such as coronary artery disease, acute myocardial infarction, acute and chronic heart failure, and pulmonary hypertension. However, its prognostic significance in acute pulmonary embolism (PE) is unknown. The aim of this study was to investigate the relation between admission RDW and early mortality in patients with acute PE. One hundred sixty-five patients with confirmed acute PE were included. Patients with previous treatment for anemia, malignancy, or chronic liver disease, those with dialysis treatment for chronic renal failure, and those who received erythrocyte suspension for any reason were excluded. A total of 136 consecutive patients with acute PE were evaluated prospectively. According to receiver-operating characteristic curve analysis, the optimal cut-off value of RDW to predict early mortality was >14.6%, with 95.2% sensitivity and 53% specificity. Patients were categorized prospectively as having unchanged (group 1) or increased (group 2) RDW on the basis of a cut-off value of 14.6%. The mean age of patients was 63 ± 15 years. The mean follow-up duration was 11 ± 7 days, and 21 patients died. Among these 21 patients, 1 (1.6%) was in group 1 and 20 (27%) were in group 2 (p <0.001). Increased RDW >14.6% on admission, age, presence of shock, heart rate, oxygen saturation, and creatinine level were found to have prognostic significance in univariate Cox proportional-hazards analysis. Only increased RDW >14.6% on admission (hazard ratio 15.465, p = 0.012) and the presence of shock (hazard ratio 9.354, p <0.001) remained associated with increased risk for acute PE-related early mortality in a multivariate Cox proportional-hazards model. In conclusion, high RDW was associated with worse hemodynamic parameters, and RDW seems to aid in the risk stratification of patients with acute PE.

Sleep quality among relatively younger patients with initial diagnosis of hypertension: dippers versus non-dippers.

Background. Sleep is a basic physiological process. Normal sleep yields decrease in sympathetic activity, blood pressure (BP) and heart rate. Those, who do not have expected decrease in their BP are considered “non‐dippers”. We aimed to determine if there was any association between the non‐dipping status and sleep quality, designed a cross‐sectional study, and enrolled and evaluated the sleep quality of relatively young patients with an initial diagnosis of hypertension. Methods. Seventy‐five consecutive patients, diagnosed to have stage 1 hypertension by their primary physicians, were referred to our study. Patients had newly diagnosed with stage 1 hypertension. Patients with a prior use of any anti‐hypertensive medication were not included. Eligible patients underwent the Pittsburgh Sleep Quality Index (PSQI), which has an established role in evaluating sleep disturbances. All patients underwent ambulatory BP monitoring. Results. There were 42 non‐dipper patients (mean age = 47.5±11.9 years, 24 male/18 female), as a definition, 31 dipper hypertensive patients (mean age = 48.5±12.8 years, 21 male/10 female) and two with white coat hypertension. Daytime systolic and diastolic mean BPs were not significantly different between the two groups. Night‐time mean systolic and diastolic BPs were significantly higher in non‐dippers compared with dippers. PSQI scores, globally, were significantly higher in non‐dippers compared with dippers. Total PSQI score was not correlated with body mass index. It was noticed that, individually, sleep quality, sleep efficiency and sleep disturbance scores were significantly higher in non‐dippers. Being a poor sleeper in terms of high PSQI score (total score>5) was associated with 2.955‐fold increased risk of being a non‐dipper (95% confidence interval 1.127–7.747). Conclusion. We showed that the risk of having non‐dipping hypertension, a risk factor for poor cardiovascular outcomes among hypertensive individuals, was tripled (odds ratios) among poor sleepers. We think that evaluating sleeping status and sleep quality among the hypertensive population may help unmask non‐dipper hypertension, enabling physicians to treat appropriately.

Increased γ-glutamyl transferase levels predict early mortality in patients with acute pulmonary embolism

BACKGROUND Increased γ-glutamyl transferase (GGT) level is associated with increased oxidative stress, all-cause mortality, the development of cardiovascular disease, and metabolic syndrome. However, its role in acute pulmonary embolism (PE) is unknown. In this study, we aimed to investigate the relationship between GGT and early mortality in patients with acute PE. METHODS A total of 127 consecutive patients with confirmed PE were evaluated. The optimal cutoff value of GGT to predict early mortality was measured as more than 55 IU/L with 94.4% sensitivity and 66.1% specificity. Patients with acute PE were categorized prospectively as having no increased (group I) or increased (group II) GGT based on a cutoff value. RESULTS Of these 127 patients, 18 patients (14.2%) died during follow-up. Among these 18 patients, 1 (1.4%) patient was in group I, and 17 (30.9%) patients were in group II (P < .001). γ-Glutamyl transferase level on admission, presence of shock, heart rate, oxygen saturation, right ventricular dilatation/hypokinesia, main pulmonary artery involvement, troponin I, alanine aminotransferase, alkaline phosphatase, and creatinine levels were found to have prognostic significance in univariate analysis. In the multivariate Cox proportional hazards model, GGT level on admission (hazard ratio [HR], 1.015; P = .017), presence of shock (HR, 15.124; P = .005), age (HR, 1.107; P = .010), and heart rate (HR, 1.101; P = .032) remained associated with an increased risk of acute PE-related early mortality after the adjustment of other potential confounders. CONCLUSIONS We have shown that a high GGT level is associated with worse hemodynamic parameters, and it seems that GGT helps risk stratification in patients with acute PE.

The product of eGFR and hemoglobin may help predict mortality in systolic heart failure patients without severe anemia and renal failure.

OBJECTIVES Cardiorenal anemia syndrome is defined in patients with heart failure (HF). Although individual influences of renal impairment and anemia were shown previously, complex interaction between the kidney, bone marrow, and the heart renders decision making relatively inefficient in patients with milder forms of these diseases. We aimed to investigate whether product of estimated glomerular filtration rate (eGFR) and hemoglobin (Hb) predicts outcomes in patients with HF. STUDY DESIGN The study included 148 consecutive patients (89 males, 59 females; mean age 68±10 years) who were hospitalized with acutely decompensated systolic HF and discharged alive. Discharge Hb levels were measured. Renal function was estimated via the MDRD (Modification of Diet in Renal Disease) formula. The eGFRxHb product was derived, and cut-off was defined using the ROC (receiver operating characteristic) analysis. The influence of eGFRxHb product on mortality was analyzed after a follow-up period of up to 34 months (mean 8.2±5.5 months). RESULTS The mean Hb was 12.7±2 g/dl, the mean creatinine was 105±46 µmol/l, and the mean eGFR was 61±23 ml/min/1.73 m². Eighty-two patients (55.4%) had an eGFR of <60 ml/kg/m². During the follow-up, 27 patients died. Optimal cut-off level of eGFRxHb product to predict mortality was found to be ≤788 with a sensitivity of 82.6% and specificity of 51.3%. In multivariate Cox proportional analysis, only eGFRxHb product ≤788 (HR 4.488, 95% CI 1.500-13.433, p=0.007) and presence of atrial fibrillation (HR 2.644, 95% CI 1.113-6.280, p=0.028) were independent predictors of mortality in patients with HF. CONCLUSION We concluded that the product of eGFR and Hb might be useful in prediction of mortality among patients with systolic HF.