Diabetes is a common comorbidity in patients hospitalized for acute heart failure (AHF), but the relationship between admission glucose level, glycemic gap, and in-hospital mortality in patients with both conditions has not been investigated thoroughly. Clinical data for admission glucose, glycemic gap and in-hospital death in 425 diabetic patients hospitalized because of AHF were collected retrospectively. Glycemic gap was calculated as the A1c-derived average glucose subtracted from the admission plasma glucose level. Receiver operating characteristic (ROC) curves were used to determine the optimal cutoff value for glycemic gap to predict all-cause mortality. Patients with glycemic gap levels >43 mg/dL had higher rates of all-cause death (adjusted hazard ratio, 7.225, 95% confidence interval, 1.355–38.520) than those with glycemic gap levels ≤43 mg/dL. The B-type natriuretic peptide levels incorporated with glycemic gap could increase the predictive capacity for in-hospital mortality and increase the area under the ROC from 0.764 to 0.805 (net reclassification improvement = 9.9%, p < 0.05). In conclusion, glycemic gap may be considered a useful parameter for predicting the disease severity and prognosis of patients with diabetes hospitalized for AHF.

Objective: Atrial fibrillation (AF) is the most common form of sustained arrhythmia. Several molecular pathways associated with the pathogenesis of AF also participate in the initiation and progression of aortic aneurysm (AA). In this study, we aimed to evaluate potential associations between AA and AF. Patients and Methods: The data for this nationwide population-based retrospective cohort study were obtained from Taiwan’s National Health Insurance Research Database (NHIRD). All medical conditions for each case and the controls were categorized using the 9th revision of the International Classification of Diseases (ICD-9). Odds ratios and 95% confidence intervals for associations between AF and AA were estimated using Cox regression and adjusted for comorbidities. Results: Our analyses included 116,225 AF cases and 116,225 propensity score-matched controls. Compared with the controls, the patients with AF exhibited a significantly increased risk of developing an AA (adjusted hazard ratio, HR 1.243, p < 0.001). Another cohort of 19,776 patients diagnosed with AA were identified, and 19,776 propensity score-matched patients were included as controls. Patients who had AA were also at an increased risk of developing AF (adjusted HR 1.187, p < 0.001). Heart failure (HF) was a common risk factor for both AA and AF. Conclusion: There are associations between AF and AA. HF is a mutual risk factor for the development of AF and AA.

No abstract