Heart failure disease: An African perspective

Gtif, Imen; Bouzid, Fériel; Charfeddine, S.; Abid, Leïla; Kharrat, Najla

doi:10.1016/j.acvd.2021.07.001

Cited by 10 publications

(18 citation statements)

References 56 publications

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“…Rheumatic heart diseases and cardiomyopathies are essentially problems of youth and middle-aged individuals. Furthermore, hypertension is known to occur early in Africans and African Americans, with greater adverse consequences [4,5,22,23] The higher rate of HF in women found in the present study is consistent with that found in about half of the studies conducted in SSA [4,10,12,13,15,16,[19][20][21][24][25][26][27][28][29][30][31][32] (Table 3). Reported sex differences in different SSA regions may be related to patient selection, the burden of cardiovascular risk factors, and regional etiologic variations.…”

Section: Clinical Profile and Risk Factorssupporting

confidence: 90%

“…However, it is estimated that HF in SSA affects millions of people and that the 6-month mortality is 18% [3,4]. Several studies carried out in SSA at the hospital level have found that HF is a growing public health problem, constituting between 9.4% and 42.5% of hospital admissions and up to 30% of cardiology services admissions [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…Studies in SSA have shown that patients with HF, when compared to developed countries, are younger, and the most frequent underlying causes are hypertensive heart disease, dilated cardiomyopathy, and valvular heart disease, with ischemic heart disease being uncommon [3][4][5][6][7]. In addition, a recent study showed that heart failure patients in Africa are more likely to be illiterate, have no health and drug insurance, and are more likely to be in New York Health Association (NYHA) functional class IV compared to those in Asia, the Middle East and South America [8].…”

Section: Introductionmentioning

confidence: 99%

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Etiology, clinical features, comorbidities and mortality in patients with acute heart failure. Experience of a tertiary public hospital in Angola

Morais

Alfredo

Lopes

et al. 2022

CDS

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This article aims to study the etiological and clinical profile of acute heart failure in Angola and to identify the predictors associated with in-hospital mortality. Methods: A descriptive, observational, cross-sectional study was carried out in a tertiary public hospital in Angola. Information on demographic and biological data was collected. The following variables were included: demographic, etiological, and clinical characteristics, cardiovascular risk factors, precipitating factors of cardiac decompensation, comorbidities, and complications. In the univariate analysis we evaluated absolute and relative frequency, in the bivariate analysis independent Mann-Whitney Test, T Student test, and Chi-Square, tests were used as appropriate. Results: The sample comprises 257 individuals, of which 114 (44.36%) are male. The mean age is 49.90 ± 15.95 years. Hospital mortality is 23%. Predictors of poor prognosis were male sex (56.67% vs 40.61%, p = 0.037), lower systolic, diastolic, and mean blood pressure ((mean = 115 mmHg vs 138 mmHg, p < 0.001; mean = 73 mmHg vs. 85 mmHg, p < 0.001 and mean = 87.55 mmHg vs 102.74 mmHg; p < 0.001, respectively), higher respiratory rate (mean = 26.48 vs 24.00, p = 0.013), New York Health Association (NYHA) Class IV (60.00% vs 35.03%, p < 0.001) and lower LVEF (mean = 34.90% vs 39.7%, p = 0.013) Infection as a precipitating cause of cardiac decompensation, a previous history of pulmonary TB and DCM were also associated with higher in-hospital mortality (61.66% vs 26.39%, p < 0.001; 33.33% vs 12.69 p < 0.001, and 45.00% vs 29.95%, p = 0.031; respectively). Conclusions: The results indicate that in Angola, heart failure affects young and middle-aged patients and is associated with high in-hospital mortality.

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Section: Clinical Profile and Risk Factorssupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Etiology, clinical features, comorbidities and mortality in patients with acute heart failure. Experience of a tertiary public hospital in Angola

Morais

Alfredo

Lopes

et al. 2022

CDS

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“…Moreover, the American Heart Association/American College of Cardiology HF guidelines have recommended measuring Natriuretic peptide biomarkers for prognostication among patients with HFrEF ( 20 ). Indeed, the Natriuretic peptide tests are still underutilized in different Tunisian centers as in many African countries which could implement this test in routine clinical practice ( 5 ). In the present study, we present the first prospective evaluation of NT-proBNP levels among Tunisian patients with HFrEF.…”

Section: Discussionmentioning

confidence: 99%

“…HF is a major clinical and public health concern that affects around 63.4 million people worldwide, accounting for an economic burden of 346.17 billion US $ worldwide in 2017 (2)(3)(4). For African countries, HF is still health challenging and was associated with significant rates of hospitalizations and mortality (5)(6)(7)(8).…”

Section: Introductionmentioning

confidence: 99%

Oxidative stress markers-driven prognostic model to predict post-discharge mortality in heart failure with reduced ejection fraction

Gtif

Abdelhédi²,

Ouarda³

et al. 2022

Front. Cardiovasc. Med.

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BackgroundCurrent predictive models based on biomarkers reflective of different pathways of heart failure with reduced ejection fraction (HFrEF) pathogenesis constitute a useful tool for predicting death risk among HFrEF patients. The purpose of the study was to develop a new predictive model for post-discharge mortality risk among HFrEF patients, based on a combination of clinical patients’ characteristics, N-terminal pro-B-type Natriuretic peptide (NT-proBNP) and oxidative stress markers as a potentially valuable tool for routine clinical practice.Methods116 patients with stable HFrEF were recruited in a prospective single-center study. Plasma levels of NT-proBNP and oxidative stress markers [superoxide dismutase (SOD), glutathione peroxidase (GPX), uric acid (UA), total bilirubin (TB), gamma-glutamyl transferase (GGT) and total antioxidant capacity (TAC)] were measured in the stable predischarge condition. Generalized linear model (GLM), random forest and extreme gradient boosting models were developed to predict post-discharge mortality risk using clinical and laboratory data. Through comprehensive evaluation, the most performant model was selected.ResultsDuring a median follow-up of 525 days (7–930), 33 (28%) patients died. Among the three created models, the GLM presented the best performance for post-discharge death prediction in HFrEF. The predictors included in the GLM model were age, female sex, beta blockers, NT-proBNP, left ventricular ejection fraction (LVEF), TAC levels, admission systolic blood pressure (SBP), angiotensin-converting enzyme inhibitors/angiotensin receptor II blockers (ACEI/ARBs) and UA levels. Our model had a good discriminatory power for post-discharge mortality [The area under the curve (AUC) = 74.5%]. Based on the retained model, an online calculator was developed to allow the identification of patients with heightened post-discharge death risk.ConclusionIn conclusion, we created a new and simple tool that may allow the identification of patients at heightened post-discharge mortality risk and could assist the treatment decision-making.

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Burden of heart failure in Asia, 1990–2019: findings from the Global Burden of Disease Study 2019

Zhang,

Xie,

Wang

et al. 2024

Public Health

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Heart failure disease: An African perspective

Cited by 10 publications

References 56 publications

Etiology, clinical features, comorbidities and mortality in patients with acute heart failure. Experience of a tertiary public hospital in Angola

Etiology, clinical features, comorbidities and mortality in patients with acute heart failure. Experience of a tertiary public hospital in Angola

Oxidative stress markers-driven prognostic model to predict post-discharge mortality in heart failure with reduced ejection fraction

Burden of heart failure in Asia, 1990–2019: findings from the Global Burden of Disease Study 2019

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