Open AccessAcute Heart Failure Comorbidome: The Impact of Everything Else
Author(s) -
Mariana Meireles,
João Golçalves,
João Neves
Publication year - 2020
Publication title -
acta médica portuguesa
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 21
eISSN - 1646-0758
pISSN - 0870-399X
DOI - 10.20344/amp.11051
Subject(s) - odds ratio , medicine , heart failure , confidence interval , atrial fibrillation , cardiology , kidney disease , comorbidity , heart disease
Heart failure frequently coexists with several comorbidities. Our aim is to evaluate the prognostic role of various comorbidities in the risk of acute heart failure development.Material and Methods: Comorbidities of patients with acute heart failure were, retrospectively, compared to a control group of patients with chronic heart failure admitted to an Internal Medicine unit in a 2-year period. Logistic regression models were constructed to determine their association with acute heart failure and to develop a comorbidome.Results: We identified 229 patients with acute heart failure and 201 patients with chronic heart failure. Age and female gender were higher in acute heart failure group (p < 0.001) as was the number of comorbidities (4.0 ± 3.0 vs 4.0 ± 2.0, p = 0.044). Hyperuricemia (odds ratio 2.46, confidence interval 95% 1.41 - 4.31, p = 0.002), obesity (odds ratio 2.22, confidence interval 95% 1.31 - 3.76, p = 0.003), atrial fibrillation (odds ratio 1.93, confidence interval 95% 1.31 - 2.87, p = 0.001), peripheral artery disease (odds ratio 2.12, confidence interval 95% 1.01 - 4.42, p = 0.046) and chronic kidney disease (odds ratio 2.47, confidence interval 95% 1.65 - 3.71, p < 0.001) were associated with acute heart failure. Obesity, atrial fibrillation, peripheral artery disease and chronic kidney disease were identified as independent risk factors. Patients with multiple comorbidities had a superior risk of hospitalization due to heart failure: zero comorbidities – odds ratio 0.43, 95% confidence interval 0.28 - 0.67, p < 0.001; one comorbidity – odds ratio 0.69, 95% confidence interval 0.47 - 1.01, p = 0.057; two comorbidities – odds ratio 1.85, 95% confidence interval 1.11 - 3.08, p = 0.019; ≥ three comorbidities – odds ratio 5.81, 95% confidence interval 2.77 - 12.16, p < 0.001.Discussion: This study shows an association between several comorbidities and hospital admission due to acute heart failure. The association seems to strengthen in the presence of multiple comorbidities.Conclusion: A comorbidome is a useful tool to identify comorbidities associated with higher risk of acute heart failure. The identification of vulnerable patients may allow multidimensional interventions to minimize future hospital admissions.