AIM: The aim of the study was to determine the influence of various risk factors on ST2 levels in patients with HFpEF and diabetes mellitus type 2 (T2DM).
MATERIALS AND METHODS: A total of one hundred and thirty-four patients (74 females and 60 males, 51 diabetic patients and 83 patients without T2DM with HFpEF were examined. Duration of HF and T2DM, common risk factors, such as smoking, overweight, clinical examination, parameters of carbohydrate and lipid metabolism, glomerular filtration rate (GFR) and M235T polymorphism of ATG have been used. Multivariate backward stepwise cox regression analysis was performed in Statistica 10,0. p<0,05 was considered statistically significant.
RESULTS: ST2 level in patients with HFpEF associated with T2DM exceeded this value in patients with HFpEF without T2DM and was 23.26 ng/ml (18.5: 29.3) vs. 20.39 ng/ml (18.3: 24.6), respectively (p<0,05). To assess the cumulative effect of the studied factors on the ST2 level, we performed the Cox's stepwise multivariate regression analysis. Smoking, HOMA-IR (Homeostatic Model Assessment for Insulin Resistance), glucose, HbA1 and insulin levels were found to be the most significant factors influencing ST2 levels in patients with HF and T2DM, indicating a significant effect of DM type 2 on ST2 concentration.
CONCLUSIONS: Smoking, HOMA-IR, glucose, HbA1, and insulin levels can significantly affect ST2 levels in patients with T2DM and HFpEF.
METHODS: A Markov model cohort simulation with a 6-month cycle length to predict acute coronary syndrome, stroke, and heart failure throughout lifetime was performed. A cohort of 399 patients was obtained from two prospective, cluster randomized controlled clinical trials implementing physician-pharmacist collaborative interventions in community-based medical offices in the Midwest, USA. Framingham risk equations and other algorithms were used to predict the vascular diseases. SBP reduction due to the interventions deteriorated until 5 years. Direct medical costs using a payer perspective were adjusted to 2015 dollar value, and the main outcome was quality-adjusted life years (QALYs); both were discounted at 3%. The intervention costs were estimated from the trials, whereas the remaining parameters were from published studies. A series of sensitivity analyses including changing patient risks of vascular diseases, probabilistic sensitivity analysis, and a cost-effectiveness acceptability curve were performed.
RESULTS: The lifetime incremental costs were $26 807.83 per QALY (QALYs gained = 0.14). The intervention provided the greatest benefit for the high-risk patients, moderate benefit for the trial patients, and the lowest benefit for the low-risk patients. If a payer is willing to pay $50 000 per QALY gained, in 48.6% of the time the intervention would be cost-effective.
CONCLUSION: Team-based care such as a physician-pharmacist collaboration appears to be a cost-effective strategy for treating hypertension. The intervention is most cost-effective for high-risk patients.
METHODS AND RESULTS: For 12 years, we followed a prospective nationwide cohort of 15 151 patients (aged 22-101 years, median age 63 years; 72.3% male; 66.7% Chinese, 19.8% Malay, 13.5% Indian) who were hospitalized for acute myocardial infarction between 2000 and 2005. There were 6463 deaths (4534 cardiovascular, 1929 noncardiovascular). Compared with men, women had a higher risk of cardiovascular death (age-adjusted hazard ratio [HR] 1.3, 95% CI 1.2-1.4) but a similar risk of noncardiovascular death (HR 0.9, 95% CI 0.8-1.0). Sex differences in cardiovascular death varied by ethnicity, age, and time. Compared with Chinese women, Malay women had the greatest increased hazard of cardiovascular death (HR 1.4, 95% CI 1.2-1.6) and a marked imbalance in death due to heart failure or cardiomyopathy (HR 3.4 [95% CI 1.9-6.0] versus HR 1.5 [95% CI 0.6-3.6] for Indian women). Compared with same-age Malay men, Malay women aged 22 to 49 years had a 2.5-fold (95% CI 1.6-3.8) increased hazard of cardiovascular death. Sex disparities in cardiovascular death tapered over time, least among Chinese patients and most among Indian patients; the HR comparing cardiovascular death of Indian women and men decreased from 1.9 (95% CI 1.5-2.4) at 30 days to 0.9 (95% CI 0.5-1.6) at 10 years.
CONCLUSION: Age, ethnicity, and time strongly influence the association between sex and specific cardiovascular causes of mortality, suggesting that health care policy to reduce sex disparities in acute myocardial infarction outcomes must consider the complex interplay of these 3 major modifying factors.
Methods: In this cross-sectional study, data from 147 ACS patients aged less than 45 years were analysed.
Results: The mean age was 39.1 (4.9) years, the male to female ratio was 3:1; 21.2% of patients presented with unstable angina, 58.5% had non-ST elevation myocardial infarction and 20.4% had ST elevation myocardial infarction. The most frequent risk factor of ACS was dyslipidaemia (65.3%), followed by hypertension (43.5%). In total, 49.7% of patients had inpatient complication(s), with the most common being heart failure (35.4%), followed by arrhythmia (20.4%). The significant factors associated with ACS complications were current smoking [adjusted odds ratio (AOR) 4.03; 95% confidence interval (CI): 1.33, 12.23;P-value = 0.014], diabetic mellitus [AOR 3.03; 95% CI: 1.19, 7.71;P-value = 0.020], treatments of fondaparinux [AOR 0.18; 95% CI: 0.08, 0.39;P-value < 0.001] and oral nitrates [AOR 0.18; 95% CI: 0.08, 0.42;P-value < 0.001].
Conclusions: Smoking status and diabetes mellitus were modifiable risk factors while pharmacological treatment was an important protective factor for ACS complications in young patients.
DESIGN: Observational study.
SETTING: A single-centre study in which eligible patients were recruited from T2DM clinic. Following consent, patients completed a questionnaire and underwent physical examinations. Patients had blood drawn for laboratory investigations and had a transthoracic echocardiography.
PARTICIPANTS: A total of 305 patients who were not known to have CVD were recruited. Patients with deranged liver function tests and end stage renal failure were excluded.
MAIN OUTCOME MEASURES: Echocardiographic parameters such as left ventricular ejection fraction, left ventricular mass index (LVMI), left ventricular hypertrophy, left atrial enlargement and diastolic function were examined.
RESULTS: A total of 305 patients predominantly females (65%), with mean body mass index of 27.5 kg/m2 participated in this study. None of them had either a history or signs and symptoms of CVD. Seventy-seven percent of patients had a history of hypertension and 83% of this study population had T2DM for more than 10 years. Mean HbA1c of 8.3% was recorded. Almost all patients were taking metformin. Approximately, 40% of patients were on newer anti-T2DM agents such as sodium-glucose cotransporter-2 and dipeptidyl peptidase 4 inhibitors. Fifty-seven percent (n=174) of the study population had SBHF at the time of study: diastolic dysfunction, increased LVMI and increased left atrial volume index (LAVI) were noted in 51 patients (17%), 128 patients (42%) and 98 patients (32%), respectively. Thirty-seven patients (12%) had both increase LVMI and LAVI.
CONCLUSION: Our study has revealed a high prevalence of SBHF in T2DM patients without overt cardiac disease in Malaysia that has one of the highest prevalence of TDM in the world.
PATIENTS AND METHODS: Materials and methods: 354 patients with HF on a background of post-infarction cardiosclerosis were included in the 2-yeared follow-up study. LT3 S was diagnosed at 89 (25.1%) patients. The levels of thyroid-stimulating hormone, free T3f and T4f, and reversible T3 were determined. The echocardioscopy was performed.
RESULTS: Results: Patients with HF in combination with LT3 S have a heavier functional class by NYHA, greater dilatation of the left heart cavities, less myocardial contractility, a higher frequency of atrial fibrillation and re-hospitalization. The use of β-ABs in patients with HF without LT3 S leads to a likely decrease in hospitalization frequency, while in patients with LT3 S it has an opposite effect. The frequency of rehospitalization increases with an excess of β-ABs dose > 5 mg (equivalent to bisoprolol). At these patients a decrease in serum T3 level and negative dynamics of parameters of intracardiac hemodynamics are observed.
CONCLUSION: Conclusions: The use of β-ABs in patients with LT3 S leads to an increase in re-hospitalization at a dose over 5.0 mg (equivalent to bisoprolol). In these patients there is a decrease in serum T3, an increase in T4 level; and the ejection fraction decrease; and heart cavities size increase.