American registry of ambulatory and acute decompensated heart failure (AMERICCAASS registry): Rationale and design

Aims Heart failure (HF) is a highly prevalent and progressive condition associated with significant morbidity and mortality rates. Acute decompensated HF precipitates millions of hospitalizations each year. Despite therapeutic advances, the overall prognosis of HF is poor. The varying clinical courses and outcomes of patients with this disease may be due to region‐specific gaps and since most HF studies are conducted in developed countries, the participation of Latin American and Caribbean countries is low. Considering this, the American Registry of Ambulatory and Acute Decompensated Heart Failure (AMERICCAASS) aims to characterize the population with ambulatory and acute decompensated HF in the American continent and to determine rehospitalization and survival outcomes during the 12 months of follow‐up. Methods and results AMERICCAASS Registry is an observational, prospective, and hospital‐based registry recruiting patients with ambulatory or acute decompensated HF. The registry plans to include between two and four institutions per country from at least 20 countries in the Americas, and at least 60 patients recruited from each participant institution regardless of their ambulatory or acutely decompensated condition. Ambulatory patients with confirmed HF diagnosis or inpatients presenting with acute decompensated HF will be included. Follow‐up will be performed at 12 months in ambulatory patients or 1, 6, and 12 months after hospital discharge in acutely decompensated HF patients. This ongoing study began on 1 April 2022, with recruitment scheduled to end on 30 November 2023, and follow‐up on 31 January 2025. Ethics approval was obtained from the Biomedical Research Ethics Committee of Fundación Valle del Lili. Data collected in the AMERICCAASS registry is being stored on the electronic platform REDCap (Research Electronic Data Capture), which allows different forms for patient groups to enable unbiased analyses. For quantitative variables comparison, we will use the Student's t‐test or non‐parametric tests accordingly. Categorical variables will be presented as proportions, and groups will be compared with Fisher's exact test. The significance level will be