Temporal trends on the prevalence of renal disease and outcomes among patients with diabetes mellitus hospitalized by heart failure: findings from INCAex.

BACKGROUND: To assess 20-year time trends in the prevalence of diabetes mellitus (DM) among inpatients with heart failure (HF) and the influence of coexisting DM and kidney disease (KD) on outcomes. RESEARCH DESIGN AND METHODS: A retrospective study of patients was admitted due to HF, during the period 2000/2019. The period of follow-up was divided into three intervals according to the European Medical Agency approval of newer hypoglycemic drugs. We analyzed in-hospital mortality and outcomes during the follow-up period. RESULTS: A total of 4959 patients were included. Over time, prevalence of DM was significantly raising among women with HF (50 to 53.2%) and descending among men (50% to 46.8%, p = 0.02). Total mortality and readmissions were higher in patients with DM during the and second periods. However, no significant differences were found in the third-one (HR 1.14, 95% CI 0.94-1.39, p = 0.181). A protector role of oral hypoglycemic medications was observed in this last period. According to the presence of KD, the patients with both DM and KD were who presented most of the events. CONCLUSIONS: Over the time analyzed, the prevalence of DM raised among women and decreased among men. DM influenced the prognosis of HF except in the third period when more protective hypoglycemic drugs started to be used.

Analysis and prediction of readmissions for heart failure in the first year after discharge with INCA score.

To determine the readmissions trends and the comorbidities of patients with heart failure that most influence hospital readmission rates. Heart failure (HF) is one of the most prevalent health problems as it causes loss of quality of life and increased health-care costs. Its prevalence increases with age and is a major cause of re-hospitalisation within 30 days after discharge. INCA study had observational and ambispective design, including 4,959 patients from 2000 to 2019, with main diagnosis of HF in Extremadura (Spain). The variables examined were collected from discharge reports. To develop the readmission index, capable of discriminating the population with higher probability of re-hospitalisation, a Competing-risk model was generated. Readmission rate have increased over the period under investigation. The main predictors of readmission were: age, diabetes mellitus, presence of neoplasia, HF without previous hospitalisation, atrial fibrillation, anaemia, previous myocardial infarction, obstructive pulmonary disease (COPD) and chronic kidney disease (CKD). These variables were assigned values with balanced weights, our INCA index showed that the population with values greater than 2 for men and women were more likely to be re-admitted. Previous HF without hospital admission, CKD, and COPD appear to have the greatest effect on readmission. Our index allowed us to identify patients with different risks of readmission.