There is a lack of epidemiological data around heart failure (HF) in Latin America; the potential impact description of this disease in middle-income countries is relevant. This study aimed to describe the characteristics and healthcare resource utilization patterns of HF patients at baseline and six-month follow-up. This retrospective observational study used data from the RECOLFACA (Registro Colombiano de Falla Cardíaca) registry, which includes data obtained from the examination of clinical records from 2,528 patients in 60 Colombian healthcare institutions. Baseline and six-month follow-up data were evaluated from patients with previous hospital admissions due to HF during the 12 months prior to enrollment. This study analyzed 2,045 patients (42.8% female) with a mean age of 67.71 ± 13.64 years. The most common etiologies were ischemic (44.4%) and hypertensive heart disease (38.5%). At baseline, 53.4% of patients were classified with NYHA class II, and 73.6% had a reduced left ventricle ejection fraction (LVEF). A year prior to entering the registry, patients were hospitalized an average of 1.4 ± 1.1 times due to HF. Prescription of evidence-based treatment at baseline included sacubitril/valsartan (10%), ACEI (33%), ARB (41%), beta-blocker (79%), diuretics (68%), and MRA (56%). The average quality of life score measured using the EQ-5D-3L questionnaire was 78.7 ± 20.8 at baseline and 82.3 ± 20.1 at the six-month follow-up. The mortality rate was 6.7%. The use of information from the RECOLFACA registry allowed characterization as well as analyses of healthcare resource utilization of patients with heart failure in Colombia. The results of this study show that multiple evidence-based treatments for HF are being widely used in Colombia, but there seems to be room for improvement regarding some interventions for the treatment of patients with HF.

Lozano Villanueva JL, et al. J Clin Neurol. 2021 Apr;17(2):200-205. https://doi.org/10.3988/jcn.2021.17.2.200

The impact of chronic obstructive pulmonary disease (COPD) on heart failure (HF) has yet to be well assessed in the Latin American population. This study aimed to analyze the impact of COPD on HF patients from the Colombian Heart Failure Registry (RECOLFACA). The primary outcome was all-cause mortality. A Cox proportional-hazards regression model was used to assess the impact of COPD on mortality. From the total of 2528 patients in the registry, 2514 patients had information regarding COPD diagnosis. COPD diagnosis was associated with a worse functional class and higher use of diuretics than non-COPD patients (p < 0.001). Patients with this comorbidity had a significantly better ejection fraction (median ejection fraction 35% vs. 32% in non-COPD patients; p = 0.004), with a higher occurrence of HF with preserved ejection fraction (HFpEF) in the COPD group (p = 0.000). Finally, patients with COPD had a significantly higher risk of mortality in the multivariate regression model (HR 1.47; 95% CI 1.02, 2.11). COPD is a prevalent comorbidity among patients with HF in Colombia, showing a different clinical profile and a worse functional class than patients without this condition. Patients with COPD and HFpEF have a high mortality risk according to our results.

Objetivo Establecer una nueva metodología predictiva de la proporción de dengue grave respecto al total anual de infectados de dengue por departamento con base en la teoría de la probabilidad.Métodos Con base en los datos anuales de número de infectados por departamentos en el periodo 2005 -2010, se calculó la proporción entre casos de dengue grave respecto al total para cada año, y se construyeron espacios de probabilidad que evalúan estos eventos en rangos de 0,5 y 0,3. Se determinaron conjuntos de rangos y se calculó probabilidad, desviación media cuadrática y la diferencia entre ellas. Se realizó una predicción del rango de infectados para el 2011 con el promedio aritmético de los valores de los últimos dos años.Resultados Se predijo correctamente el rango en el que se encuentra incluida la proporción de número de infectados de dengue grave sobre el total en cada departamento con una efectividad del 93,3% para el rango de 0,5 y de 86,7% para el de 0,3.Conclusión Se evidenció una autoorganización matemática espacio temporal en la proporción de dengue grave respecto al total que permite establecer predicciones de utilidad para la toma de decisiones de salud pública.