AimTo investigate the use of biomarkers providing independent information regarding physiology in acutely decompensated heart failure (ADHF) for assessment of risk. Methods and resultsThis was a prospective study of 107 patients hospitalized with ADHF (mean age 72 + 13 years, 44% male, left ventricular ejection fraction 47 + 15%). Blood samples were collected on presentation to measure soluble (s)ST2, highsensitivity troponin T (hsTnT), and amino-terminal pro-B type natriuretic peptide (NT-proBNP) levels. Clinical follow-up was obtained for all patients over a median period of 739 days, and all-cause mortality was registered. Concentrations of sST2 [per 10 ng/mL, hazard ratio (HR) 1.09, 95% confidence interval (CI) 1.04-1.13; P , 0.001], hsTnT (per 0.1 ng/mL, HR 1.16, 95% CI 1.09-1.24; P , 0.001), and NT-proBNP (per 100 pg/mL, HR 1.01, 95% CI 1.003-1.01; P , 0.001) were each predictive of a higher risk of death. In bootstrapped models, each biomarker retained independent predictive value for mortality. Patients with all three biomarkers below their optimal cut-off at presentation were free of death (0%) during follow-up, whereas 53% of those with elevations of all three biomarkers had died. For each elevated marker (from 0 to 3) adjusted analysis suggested a tripling of the risk of death (for each elevated marker, HR 2.64, 95% CI 1.63-4.28, P , 0.001). Integrated discrimination analyses indicated that the use of these three markers in a multimarker approach uniquely improved prediction of death. ConclusionsBiomarkers reflecting remodelling (sST2), myonecrosis (hsTnT), and myocardial stretch (NT-proBNP) provide complementary prognostic information in patients with ADHF. When used together, these novel markers provide superior risk stratification.--

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This study shows that GH-dependent effects on gene expression in PBMCs can be detected by microarray-based gene analysis, and our results establish a foundation for the further exploration of peripheral blood as a surrogate to detect exposure to GH therapy.

IntroductionMeal composition is known to affect glycemic variability and glucose control in type 1 diabetes. The objective of this work was to evaluate the effect of high carbohydrate meals of different nutritional composition and alcohol on the postprandial glucose response in patients with type 1 diabetes.Research design and methodsTwelve participants were recruited to this randomized crossover trial. Following a 4-week run-in period, participants received a mixed meal on three occasions with the same carbohydrate content but different macronutrient composition: high protein-high fat with alcohol (0.7g/kg body weight, beer), high protein-high fat without alcohol, and low protein-low fat without alcohol at 2-week intervals. Plasma and interstitial glucose, insulin, glucagon, growth hormone, cortisol, alcohol, free fatty acids, lactate, and pH concentrations were measured during 6 hours. A statistical analysis was then carried out to determine significant differences between studies.ResultsSignificantly higher late postprandial glucose was observed in studies with higher content of fats and proteins (p=0.0088). This was associated with lower time in hypoglycemia as compared with the low protein and fat study (p=0.0179), at least partially due to greater glucagon concentration in the same period (p=0.04). Alcohol significantly increased lactate, decreased pH and growth hormone, and maintained free fatty acids suppressed during the late postprandial phase (p<0.001), without significant changes in plasma glucose.ConclusionsOur data suggest that the addition of proteins and fats to carbohydrates increases late postprandial blood glucose. Moreover, alcohol consumption together with a mixed meal has relevant metabolic effects without any increase in the risk of hypoglycemia, at least 6 hours postprandially.Trial registration numberNCT03320993.

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