Clinical and Demographic Characteristics of Patients with Coexistent Hypertension, Type 2 Diabetes Mellitus, and Dyslipidemia: A Retrospective Study from India.

BACKGROUND: Coexisting hypertension, type 2 diabetes mellitus (T2DM), and dyslipidemia (triple disease) can lead to greater risk of cardiovascular morbidity and mortality. The present study sought to comprehend the prevalence, demographic traits, clinical traits, and treatment patterns in Indian patients with these coexisting conditions. METHODS: An electronic medical record (EMR)-based, retrospective, multicenter, cross-sectional study was conducted, and data were collected for patients who were diagnosed with coexistent hypertension, T2DM, and dyslipidemia. Baseline patient variables evaluated were the percentage of patients with triple comorbidity, demographic characteristics, diagnostic laboratory parameters, and treatment pattern details. RESULTS: Data from 4793 centers (clinics) were included, with a total of 6,722,173 patients. Of these, 427,835 (6.36%) patients were found to have coexistent hypertension, T2DM, and dyslipidemia. Most of the patients belonged to the 40-64 year age group (62.10%) and were males (57.00%), while 27.40% patients had a body mass index (BMI) within normal limits, 43.30% patients were pre-obese, and 20.90% patients were class 1 obese. Further, 3402 patients (0.80%) had a recorded history of smoking. Mean glycated hemoglobin (HbA1c) for the patients included in the study was 8.35 ± 1.96 g%. Mean systolic blood pressure (SBP) was 138.81 ± 19.59 mm Hg, while mean diastolic blood pressure (DBP) was 82.17 ± 10.35 mm Hg; 27.60% cases had SBP < 130 mm Hg, while 28.37% cases had DBP < 80 mm Hg. The mean low-density lipoprotein (LDL), total cholesterol, and high-density lipoprotein (HDL) in mg/dl were 98.38 ± 40.39, 174.75 ± 46.73, and 44.5 ± 10.05, respectively. Of the enrolled cases, 55.64% had serum LDL below 100 mg/dl, 72.03% cases had serum cholesterol below 200 mg/dl, and 44.15% males and 71.77% females had serum HDL below the normal prescribed range. The most common monotherapy used for managing hypertension was angiotensin receptor blockers (ARB) (24.80%), followed by beta-blockers (24.30%). The most common combinations administered for management of hypertension were antihypertensives with diuretics (14.30%), followed by ARB plus calcium channel blockers (CCB) (13.30%). For dyslipidemia, the majority of patients (56.60%) received lipid-lowering medication in combination with drugs for other comorbidities. The most common antidiabetic agents prescribed were biguanides (74.60%). CONCLUSIONS: Coexistence of triple disease is not uncommon in the Indian population, with middle-aged patients diagnosed as pre-obese and obese being affected more commonly and receiving treatment for the same. The present study highlights that, though there are medications against the three chronic conditions, the rate of uncontrolled cases of hypertension, T2DM, and dyslipidemia remains high. Coexistence of triple disease increases the risk of cardiovascular and renal complications, which need to be closely monitored and effectively treated.

Frailty and outcomes in heart failure patients from high-, middle-, and low-income countries.

BACKGROUND AND AIMS: There is little information on the incremental prognostic importance of frailty beyond conventional prognostic variables in heart failure (HF) populations from different country income levels. METHODS: A total of 3429 adults with HF (age 61 ± 14 years, 33% women) from 27 high-, middle- and low-income countries were prospectively studied. Baseline frailty was evaluated by the Fried index, incorporating handgrip strength, gait speed, physical activity, unintended weight loss, and self-reported exhaustion. Mean left ventricular ejection fraction was 39 ± 14% and 26% had New York Heart Association Class III/IV symptoms. Participants were followed for a median (25th to 75th percentile) of 3.1 (2.0-4.3) years. Cox proportional hazard models for death and HF hospitalization adjusted for country income level; age; sex; education; HF aetiology; left ventricular ejection fraction; diabetes; tobacco and alcohol use; New York Heart Association functional class; HF medication use; blood pressure; and haemoglobin, sodium, and creatinine concentrations were performed. The incremental discriminatory value of frailty over and above the MAGGIC risk score was evaluated by the area under the receiver-operating characteristic curve. RESULTS: At baseline, 18% of participants were robust, 61% pre-frail, and 21% frail. During follow-up, 565 (16%) participants died and 471 (14%) were hospitalized for HF. Respective adjusted hazard ratios (95% confidence interval) for death among the pre-frail and frail were 1.59 (1.12-2.26) and 2.92 (1.99-4.27). Respective adjusted hazard ratios (95% confidence interval) for HF hospitalization were 1.32 (0.93-1.87) and 1.97 (1.33-2.91). Findings were consistent among different country income levels and by most subgroups. Adding frailty to the MAGGIC risk score improved the discrimination of future death and HF hospitalization. CONCLUSIONS: Frailty confers substantial incremental prognostic information to prognostic variables for predicting death and HF hospitalization. The relationship between frailty and these outcomes is consistent across countries at all income levels.

Metabolic risk factors in first acute coronary syndrome (MERIFACS) Study.

OBJECTIVES: In acute coronary syndrome (ACS) patients the focus is on major conventional risk factors - CRF [diabetes, hypertension, elevated low-density cholesterol (LDL-C) and smoking] whereas others - specific metabolic risk factors - MRF [high-density lipoprotein cholesterol (HDL-C), body-mass index (BMI), waist-hip ratio (WHR), and triglycerides, and HbA1c get less attention. METHODS: This is a prospective case-control observational study from 15 tertiary care hospitals in India. CRF and MRF in patients presenting with first incidence of ACS (n = 2153) were compared with matched controls (n = 1210). RESULTS: Propensity score matching (PSM) yielded 1193 cases and matched 1210 controls. Risk factor prevalence in cases vs. controls were CRF: hypertension - 39.4% vs 16.4% (p < 0.0001), diabetes - 42.6% vs 12.7% (p < 0.0001), smoking - 28.3% vs 9.3% (p < 0.0001) and elevated LDL-C - 70.2% vs 57.9% (p < 0.0001). MRF: High BMI - 54.7% vs 55.1% (p = 0.84), increased waist: hip ratio 79.5% vs 63.6% (p < 0.0001), high HbA1c - 37.8% vs 14.9% (p < 0.0001), low HDL-C - 56.2% vs 42.8% (p < 0.0001) and elevated triglycerides - 49.7% vs 44.2% (p = 0.007). Adjusted Odds ratios by multivariate analysis were CRF: hypertension - 2.3 (p < 0.001), diabetes - 4.7 (p < 0.001), high LDL-C - 3.3 (p < 0.001) and smoking- 6.3 (p < 0.001). MRF: High waist: hip ratio - 2.4 (p < 0.001) high HbA1c - 3.2 (p < 0.001), low HDL-C 2.2 (p < 0.001) and elevated triglycerides - 0.878 p = 0.17. CONCLUSION: In India, the risk of ACS conferred by specific metabolic risk factors (High waist: hip ratio, Low HDL-C and High HbA1c) is comparable to that caused by CRF.

Compliance of Secondary Prevention Strategies in Coronary Artery Disease Patients with and without Diabetes Mellitus - A Cross-Sectional Analytical Survey from Kerala, India.

CONTEXT: There is limited data related to compliance of secondary prevention strategies for coronary artery diseases (CAD) among patients with and without diabetes. OBJECTIVES: The objective was to compare compliance to secondary prevention strategies for CAD including smoking cessation, weight management, blood pressure (BP) control, Low density lipoprotein (LDL) cholesterol control and adequate physical activity between patients with and without diabetes. SETTINGS AND DESIGN: This is a hospital-based cross-sectional analytical study. METHODS AND MATERIALS: The study questionnaire was used to collect data through interviews of CAD patients. Compliance to secondary prevention strategies was documented using European Society of Cardiology guidelines. STATISTICAL ANALYSIS: We used modified Poisson model to estimate adjusted prevalence ratios (Adj. PR) for estimating compliance. RESULTS: Among 1,206 participants with CAD, 609 (50.5%) had diabetes. The Adj. PR s for three targets - smoking cessation (Adj. PR 1.01, 95% CI 0.97, 1.06, P 0.50), ideal BMI (Adj. PR 0.99, 95% CI 0.92, 1.09, P 0.99) and adequate physical activity (Adj. PR 1.12, 95% CI 0.97, 1.29, P 0.12) showed no significant difference between the groups. There was poor BP control in patients with diabetes compared to those without the same (Adj. PR 0.19, 95% CI 0.15, 0.23, P < 0.0001). LDL cholesterol control was better in patients with diabetes in comparison to those without the same (Adj. PR 1.19, 95% CI 1.08, 1.31, P 0.0005). CONCLUSION: The compliance for secondary prevention of CAD among patients with diabetes is similar to those without diabetes except for poor control of hypertension and better control of LDL cholesterol.

Health-Related Quality of Life of Coronary Artery Disease Patients under Secondary Prevention: A Cross-Sectional Survey from South India.

BACKGROUND: Health-related quality of life (HRQOL) is emerging as an important outcome among patients with documented coronary artery disease (CAD). The primary objective of this study was to report the HRQOL of CAD patients under secondary prevention-related treatment and follow-up using the 36-Item Short Form (SF-36) tool. METHODS: This was an analytical cross-sectional survey done in a hospital/clinic setting. We recruited CAD patients 30 to 80 years old with 1 to 6 years of follow-up. Patients self-reported HRQOL using SF-36. RESULTS: We recruited 1206 patients, among whom 879 (72.9%) were male. The mean age of patients was 61.3 (9.6) years. Mean (± standard deviation) scores for physical functioning, role limitations due to physical health, pain, and general health were 66.48 ± 29.41, 78.96 ± 28.01, 80.96 ± 21.15, and 51.49 ± 20.19, respectively. The scores for role limitations due to emotional problems, energy/fatigue, emotional well-being, and social functioning were 76.62 ± 28.0, 66.18 ± 23.92, 76.91 ± 20.47, and 74.49 ± 23.55. In subgroup analysis, age, sex, type of CAD, and treatment showed no significant association with any of the 8 domains of QOL. In addition, hypertension and diabetes showed no significant association with the individual domains of HRQOL. CONCLUSION: Patients with coronary artery disease under secondary prevention-related treatment have suboptimal HRQOL under both physical and mental domains. The role of demographic factors, comorbidities, disease subtypes, and treatment options in modifying HRQOL among patients with CAD appears to be minimal.

Compliance to secondary prevention strategies for coronary artery disease: a hospital-based cross-sectional survey from Ernakulam, South India.

OBJECTIVES: The primary objective of the study was to report the compliance to secondary prevention strategies for coronary artery disease (CAD), such as smoking cessation, weight management, low-density lipoprotein (LDL) cholesterol control, blood pressure control, glycaemic control, physical activity and cardiovascular drug therapy from a resource-limited setting. DESIGN: Analytical cross-sectional survey with data collection using questionnaire administered by study personnel. SETTING: Institutional-two tertiary care hospitals and two cardiology clinics. PARTICIPANTS: Patients in the age group of 30-80 years with documented CAD with a minimum of 1 year and a maximum of 6 years of follow-up after diagnosis. MAIN OUTCOME MEASURES: The main outcome measures were the prevalence of individual compliance to secondary prevention strategies for CAD such as smoking cessation, weight management, LDL cholesterol control, blood pressure control, glycaemic control, physical activity and cardiovascular drug therapy. The secondary outcomes were the association of secondary prevention strategies with age, sex, domicile, socioeconomic status, insurance and type of treatment. RESULTS: We recruited a total of 1206 patients among whom 879 (72.9%) were males. The median age of patients was 62 (14) years. The compliance to smoking cessation was 93.86% (95% CI 91.66% to 96.06%), ideal body mass index was 63.76% (95% CI 61.05% to 66.47%), blood pressure control was 65.11% (95% CI 62.42% to 67.80%), LDL compliance was 36.50% (95% CI 33.18% to 39.82%), diabetes control was 51.23% (95% CI 46.10% to 56.36%) and adequate physical activity was 39.22% (95% CI 36.46% to 41.98%)respectively. Reported compliance for cardiovascular drugs therapy was 96% for antiplatelets, 89.4% for statins, 68.2% for beta blockers, 37.7% for renin angiotensin aldosterone system blockers, 81.28% for oral hypoglycaemic agents and 22% for insulin therapy. CONCLUSION: Compliance to secondary prevention strategies for CAD in resource limited settings are moderate. This needs further improvement for better outcomes related to CAD in future.

Comparison of resting and adenosine-free pressure indices with adenosine-induced hyperemic fractional flow reserve in intermediate coronary lesions.

OBJECTIVE: Fractional flow reserve (FFR) using adenosine has been the gold standard in the functional assessment of intermediate coronary stenoses in the catheterization laboratory. We aim to study the correlation of adenosine-free indices such as whole cycle Pd/Pa [the ratio of mean distal coronary pressure (Pd) to the mean pressure observed in the aorta (Pa)], instantaneous wave-free ratio (iFR), and contrast-induced submaximal hyperemia (cFFR) with FFR. METHODS: This multicenter, prospective, observational study included patients with stable angina or acute coronary syndrome (>48 h since onset) with discrete intermediate coronary lesions (40-70% diameter stenosis). All patients underwent assessment of whole cycle Pd/Pa, iFR, cFFR, and FFR. We then evaluated the correlation of these indices with FFR and assessed the diagnostic efficiencies of them against FFR ≤0.80. RESULTS: Of the 103 patients from three different centers, 83 lesions were included for analysis. The correlation coefficient (r value) of whole cycle Pd/Pa, iFR, and cFFR in relation to FFR were +0.84, +0.77, and +0.70 (all p values < 0.001), respectively, and the c-statistic against FFR ≤0.80 were 0.92 (0.86-0.98), 0.89(0.81-0.97), and 0.91 (0.85-0.97) (all p values < 0.001), respectively. The best cut-off values identified by receiver-operator characteristic curve for whole cycle Pd/Pa, iFR, and cFFR were 0.94, 0.90, and 0.88, respectively, for an FFR ≤0.80. By the concept of "adenosine-free zone" (iFR = 0.86-0.93), 59% lesions in this study would not require adenosine. CONCLUSION: All the three adenosine-free indices had good correlation with FFR. There is no difference in the diagnostic accuracies among the indices in functional evaluation of discrete intermediate coronary stenoses. However, further validation is needed before adoption of adenosine-free pressure parameters into clinical practice.

Prognostic value of soluble ST2 biomarker in heart failure patients with reduced ejection fraction - A multicenter study.

OBJECTIVE: To study the prognostic value of soluble Suppression of Tumorigenicity-2 (sST2) in heart failure patients with reduced ejection fraction (HFrEF). METHODS: In this prospective, observational, multicenter study, patients with heart failure (HF) and left ventricular ejection fraction (LVEF) <50% were included. Clinical evaluation and serum levels of sST2 were estimated at five time points during follow up. Study endpoint was the relationship of baseline and serial sST2 concentration in the blood to the composite endpoints of cardiac death and re-hospitalization for worsening of HF during one year follow up period. RESULTS: A total of 141 patients were enrolled. The mean age was 60±10.4years. At baseline evaluation, 49.6% patients were in New York Heart Association (NYHA) class III and 36.2% in class IV. Adverse events were observed in 57 patients (40.4%); 25 (17.7%) were re-hospitalized due to worsening of HF and 32 (22.7%) died due to cardiac causes. The median value of baseline sST2 was 46.36ng/ml (IQR 31.30-78.38). sST2 concentration at baseline was significantly higher among patients with adverse events in comparison to patients without adverse events (p=<0.001). Receiver operating characteristic curve (ROC) for baseline sST2 concentration identified 49ng/ml as optimal cut-off value to predict cardiac death and re-hospitalization, with a sensitivity and specificity of 72% and 75%, respectively. CONCLUSION: In patients with HFrEF, sST2 concentration at baseline as well as on serial testing was significantly correlated with cardiac death and re-hospitalization for worsening of HF.