nateglinide and Heart-Failure

Impaired glucose tolerance and metabolic syndrome are associated with increased risk of heart failure (HF). However, predictors associated with the increased risk of incident HF have not been well characterized. We aimed to identify independent predictors of incident HF hospitalization among patients with impaired glucose tolerance.. In Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research (NAVIGATOR), 9306 research participants with impaired glucose tolerance and ≥1 cardiovascular risk factors were randomized to valsartan versus placebo and nateglinide versus placebo in a 2×2 factorial manner, with a median follow-up of 6.5 years. Using a multivariable Cox proportional hazards model, we analyzed the relationships among baseline clinical factors and the outcome of incident HF hospitalization in patients without history of HF. Significant predictors were identified by forward selection. Increasing age, history of coronary heart disease, and atrial fibrillation or flutter were among several known independent predictors of incident HF hospitalization. Increased waist circumference (hazard ratio per 10 cm, 1.37; 95% confidence interval, 1.21-1.55; P<0.001) and increased urinary albumin-creatinine ratio (P<0.001) were identified as novel predictors. The predictive model for incident HF hospitalization showed good discrimination, with an optimism-corrected C-index of 0.79.. Among research participants with impaired glucose tolerance, there are several easily identifiable predictors of incident HF hospitalization, including traditional risk factors and novel indices of central adiposity and increased urinary albumin-creatinine ratio, which enable further risk stratification and help distinguish patients who could benefit from more aggressive risk factor management.

Topics: Adiposity; Aged; Albuminuria; Biomarkers; Blood Glucose; Creatinine; Cyclohexanes; Double-Blind Method; Female; Glucose Metabolism Disorders; Heart Failure; Hospitalization; Humans; Hypoglycemic Agents; Incidence; Linear Models; Male; Middle Aged; Multivariate Analysis; Nateglinide; Nonlinear Dynamics; Obesity, Abdominal; Phenylalanine; Proportional Hazards Models; Prospective Studies; Risk Assessment; Risk Factors; Tetrazoles; Time Factors; Treatment Outcome; Valine; Valsartan; Waist Circumference

To assess the association of metformin monotherapy with the risk of all-cause deaths and cardiovascular deaths and events in type 2 diabetes patients in real clinical practice.. This retrospective, observational study comprised patients with type 2 diabetes initially treated with metformin or nonmetformin monotherapy over 2011-2016. Data were extracted from the National Healthcare Big Data database in Fuzhou, China. Propensity score matching (PSM) was performed, matching each patient on metformin to one on nonmetformin in terms of a set of covariates. The primary endpoint was all-cause death, and secondary endpoints were cardiovascular death, heart failure, and heart failure hospitalization. Covariate-adjusted associations of metformin use with all the endpoints were assessed by Cox proportional hazards models.. Among 24,099 patients, 5491 were initially treated with metformin and 18,608 with nonmetformin. PSM yielded 5482 patients in each cohort. During a median follow-up of 2.02 years, we observed 110 and 211 deaths in the metformin and nonmetformin groups, respectively. Metformin was significantly associated with reduced risk of all-cause death (adjusted hazard ratio (aHR) 0.52, 95% confidence interval (CI) 0.39-0.69), cardiovascular death (aHR 0.63, 95% CI 0.43-0.91), and heart failure (aHR 0.61, 95% CI 0.52-0.73), whereas the reduced risk in heart failure hospitalization was not statistically significant (aHR 0.70, 95% CI 0.47-1.02).. In this analysis of electronic health record data from a large database in China, metformin as first-line monotherapy greatly reduced the risk of all-cause death, cardiovascular death, and heart failure in diabetes patients as compared with nonmetformin medications.

Topics: Aged; Benzamides; Carbamates; Cardiovascular Diseases; Cause of Death; Diabetes Mellitus, Type 2; Dipeptidyl-Peptidase IV Inhibitors; Female; Glycoside Hydrolase Inhibitors; Heart Failure; Hospitalization; Humans; Hypoglycemic Agents; Male; Metformin; Middle Aged; Mortality; Nateglinide; Piperidines; Proportional Hazards Models; Retrospective Studies; Sulfonylurea Compounds; Thiazolidinediones