Determinants and Risks Factors of Renal Failure in Patients with Heart Failure in Cardiology Department of CHU Sylvanus Olympio of Lomé (Togo)
- 1 Department of Nephrology and Hemodialysis, CHU Sylvanus Olympio, Lomé, Togo
- 2 Department of Nephrology and Hemodialysis, CHU Sylvanus Olympio, Lomé, Togo
- 3 Department of cardiology, CHU Sylvanus Olympio, Lomé, Togo
- 4 Department of Nephrology and Hemodialysis, CHU Sylvanus Olympio, Lomé, Togo
- 5 Department of cardiology, CHU Sylvanus Olympio, Lomé, Togo
- 6 Department of cardiology, CHU Sylvanus Olympio, Lomé, Togo
- 7 Department of Nephrology and Hemodialysis, CHU Sylvanus Olympio, Lomé, Togo
- 8 Department of Nephrology and Hemodialysis, CHU Sylvanus Olympio, Lomé, Togo
- 9 Department of Nephrology and Hemodialysis, CHU Sylvanus Olympio, Lomé, Togo
- 10 Department of Nephrology and Hemodialysis, CHU Sylvanus Olympio, Lomé, Togo
- 11 Department of Nephrology and Hemodialysis, CHU Sylvanus Olympio, Lomé, Togo
- 12 Clinique de Néphrologie, CNHU, Cotonou, Bénin
- 13 Clinique de Néphrologie, CNHU, Cotonou, Bénin
Abstract
Introduction: The morbidity and mortality of patients with heart failure are known to increase rapidly in the presence of renal insufficiency, which is usually the cause but may be a consequence. To organize better prevention of renal failure, we undertook this study to identify the determinants of renal failure in the population of patients with heart failure. Methodology: This was a retrospective descriptive and analytical study of heart failure (HF) cases hospitalized from January 1st to December 31st, 2016, over a period for twelve (12) months at CHU Sylvanus Olympio. Patients who performed cardiac Doppler ultrasound were included in our study. Renal failure was defined as eGFR (estimated glomerular filtration rate) less than 60 ml/min/1.73m 2 . Multivariate logistic regression was performed to investigate associated factors. The dependent variable was DFG status: coded 1 if the GFR is less than 60 ml/min and 0 if not. Results: A total of 216 patients were included. The majority were female (54.17%). The median age of patients was 53 years [IQI = 32 - 61 years] with extremes of 15 and 96 years. 16.49% of patients had a GFR of less than 60 ml/min. In multivariate analysis the average standard of living (OR = 2.40, p = 0.0456), diabetes (OR = 2.67, p = 0.0300), hypertension (OR = 5.66, p = 0.0399), alcoholism (OR = 4.00, p = 0.0063) were the main factors in the development of an RF/HF. Conclusion: The average standard of living, diabetes, hypertension, and chronic alcoholism are the determinants of renal failure in HF.
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