Use of the biomarker score in determining the risk of heart failure in diabetics in Goma, North Kivu in the Democractic Republic of the Congo

Abstract

BackgroundThe use of biomarkers, such as N-terminal pro-brain natriuretic peptide (NTpBNP), high-sensitivity C-reactive protein (hs-CRP) and high-sensitivity troponin (hs-TnI) is an alternative approach to detect the risk of heart failure (HF), but data on this approach are fragmentary in sub-Saharan Africa. The objective of this study is to determine the correlation between the risk of heart failure and the score of biomarkers in the population of asymptomatic diabetics in the city of GOMA. MethodsAsymptomatic diabetics in the city of Goma were cross-sectionally recruited at the Center of the Association of Diabetics in Congo (ADIC) in Goma, DRC during the period from February 5 to 19, 2023. The risk of insufficiency heart rate at 5 years was determined using pulse pressure. The biomarker score was calculated using NTproBNP, hs-CRP, hs-troponin and left ventricular hypertrophy (LVH). The association between the risk of heart failure and the biomarker score was evaluated using the logistic regression test at the threshold of p < 0.05. ResultsOf a total of 408 diabetic patients examined, 29.9% had presented a risk of heart failure. The risk of heart failure was higher in patients with a high biomarker score (57.7%), in patients with type 1 diabetes (60%) and in patients with type 2 diabetes (57.1%). Independent risk of biomarker score on occurrence of heart failure. The risk of heart failure was multiplied by 2 if the biomarker score was intermediate (OR: 2.19, 95% CI: 1.11–4.34) and by 5 if the biomarker score was high (OR: 4.73, 95% CI: 1.84–6.20). ConclusionThe biomarker score is associated with the risk of heart failure in our study via the increase in the score elements as reported in European studies.