Obesity and Uncontrolled Diabetes Predict Depression in HF Patients

Background and aim: Heart failure (HF) is a clinical syndrome associated with poor quality of life and prognosis, and premature mortality. The aim of this study was to assess the prevalence of depression and its risk factors in HF patients. Methods: The study included 151 HF patients (mean age of 66.6 ± 11 years, 52.3% female). Based on ejection fraction (EF), the study cohort was divided into the following two groups: group-I: HFpEF patients (EF ≥ 50%, n = 47) and group-II: HFrEF patients (EF < 40%, n = 104). For the enrolled patients, demographic, clinic and echocardiographic indices, and depression scale results were collected. Results: The patients with HF and depression were older, mostly females, more obese, and had a higher glycemic level and higher NYHA functional class compared with the patients without depression (p < 0.05 for all). The left ventricle (LV) and left atrial (LA) dimensions were larger, and EF was lower, in patients with depression compared to those without depression (p < 0.05 for all), while the right ventricle (RV) measurements did not differ (p > 0.05). The same parameters remained significantly different when the patients were divided into HFpEF and HFrEF. The depression scale correlated with glycemic level (r = 0.51, p = 0.01), obesity (rpb = 0.53, p = 0.001), age (r = 0.47, p = 0.02), and severity of NYHA class (rpb = 0.54, p = 0.001). On a multivariate model, BMI ≥ 30 kg/m2, OR 1.890 (1.199 to 3.551; 0.02) glycemic level ≥ 8.5 mmol/L, OR 2.802 (1.709 to 5.077; p = 0.01), and NYHA class > 2, OR 2.103 (1.389 to 4.700; p = 0.01), proved to be the most powerful independent predictors of depression, in the group as a whole. Obesity and uncontrolled diabetes predicted depression, irrespective of EF. Conclusions: In this modest cohort of HF patients, obesity and uncontrolled diabetes were independent predictors of depression, irrespective of LV systolic function. This emphasizes the important role of medical education for better control of such risk factors.

Influence of Tocolytic Therapy with Hexoprenaline on Heart Rate Variability, Lipid Spectrum and Glycemic Level in Obese Pregnant Women

Background. Obesity is associated with the risk of spontaneous preterm birth. Hexoprenaline is the effective and most widely used tocolytic agent, possessing however a significant number of side effects. The effect of hexoprenaline tocolysis on heart rate variability, lipid spectrum and glycaemia level in obese pregnant women remain unexplored.Aim of the research. To study the effect of tocolytic therapy with hexoprenaline on heart rate variability, lipid spectrum and glycemic level in obese pregnant women.Materials and methods. The study included two groups of pregnant women with threatened preterm labor who received tocolysis with hexoprenaline. One group consisted of 68 obese patients, the other – 72 non-obese pregnant women (control group). Patients underwent Holter monitoring. Fasting serum glucose and lipids spectrum were measured before starting tocolytic therapy and after 24 hours of tocolysis.Results. In obese pregnant women with hexoprenaline infusion, the heart rate, the 24-hours number of supraventricular extrasystoles and ventricular extrasystoles during the day are significantly higher. Frequency domain parameters, very low frequency during the day, low frequency at night and 24-hours high frequency were significantly decreased than in control group. After a day of tocolysis in obese pregnant women, the level of total cholesterol, low density lipoproteins, triglycerides, and glucose significantly increases when compared with the results before therapy. For patients in the control group treated with hexoprenaline, only the concentration of high-density lipoproteins is increased.Conclusion. Obesity in pregnant women receiving hexoprenaline tocolysis is associated with low heart rate variability and an increase in the number of cardiac arrhythmias, as well as lipid disorders and an increase in glucose level.

Relationship between body adiposity index and serum glycemic level among post menupausal women in Muritala Muhammad Specialist Hospital Kano, Nigeria

Body adiposity index (BAI) is documented to exhibit significant relationship with the component of metabolic syndromes (MetS) including serum glucose. The relationship between BAI and serum glucose among postmenopausal women has not been well studied. This study was aimed at determining the relationship between BAI and serum glycemic level among postmenopausal women. The study design was observational crosssectional. Fasting serum glucose was obtained via superficial vein venipuncture after at least eight hours of meal and was analysed following standard biochemical procedure. Standard techniques for anthropometric measurement were used in obtaining the standard parameters. Chi-square was used to determine the relationship between body mass index (BMI) and clinically accepted categorical subdivision of fasting blood sugar (FBG). A total of 156 postmenopausal women with mean age of 62.70 ± 12.84 years, height (1.58 ± 0.07) m, weight (67.30 ± 17.68) kg, hip circumference (99.94 ± 12.75) cm, waist circumference (86.56 ± 14.25) cm, BAI (32.61 ± 6.78), BMI (27.05 ± 6.90) kh/m2 and fasting blood sugar (FBS) (5.21 ± 2.78mmol/L) were assessed in the here was significant positive correlation between BAI and BMI (r = 0.877, P = 6.97x10-51) and not between BAI and FBG (r = 0.026, P = 0.748). In conclusion BAI was not significantly associated with serum glycemic level among post-menopausal women.

Prognostic Significance of Relative Hyperglycemia after Percutaneous Coronary Intervention in Patients with and without Recognized Diabetes

Background: The research on the association between the relative glycemic level postpercutaneous coronary intervention (PCI) and adverse prognosis in non-ST-segment elevation acute coronary syndrome (NSTE-ACS) patients is relatively inadequate. Objective: The study aimed to identify whether the glycemic level post-PCI predicts adverse prognosis in NSTE-ACS patients. Methods: Patients (n=2465) admitted with NSTE-ACS who underwent PCI were enrolled. The relative glycemic level post-procedure was calculated as blood glucose level post-PCI divided by HbA1c level, which was named post-procedural glycemic index (PGI). The primary observational outcome of this study was major adverse cardiovascular events (MACE) [defined as a composite of all-cause death, non-fatal myocardial infarction (MI) and any revascularization]. Results: The association between PGI and MACE rate is presented as a U-shape curve. Higher PGIs [hazard ratio (HR): 1.669 (95% confidence interval (CI): 1.244-2.238) for the third quartile (Q3) and 2.076 (1.566-2.753) for the fourth quartile (Q4), p<0.001], adjusted for confounding factors, were considered to be one of the independent predictors of MACE. The association between the PGI and the risk of MACE was more prominent in the non-diabetic population [HR (95%CI) of 2.356 (1.456-3.812) for Q3 and 3.628 (2.265-5.812) for Q4, p<0.001]. There were no significant differences in MACE risk between PGI groups in the diabetic population. Conclusion: Higher PGI was a significant and independent predictor of MACE in NSTE-ACS patients treated with PCI. The prognostic effect of the PGI is more remarkable in subsets without pre-existing diabetes than in the overall population. The predictive value of PGI was not identified in the subgroup with diabetes.