利用生物标志物评分确定刚果民主共和国北基伍戈马糖尿病患者的心力衰竭风险

IF 1.9 Q3 PERIPHERAL VASCULAR DISEASE
Ferdinand Ng'ekieb Mukoso, Aliocha Natuhoyila Nkodila, Hippolyte Nani tuma Situakibanza, Stannislas Okitotsho Wembonyama, Zacharie Kibendelwa Tsongo
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引用次数: 0

摘要

背景使用N末端前脑钠尿肽(NTpBNP)、高敏C反应蛋白(hs-CRP)和高敏肌钙蛋白(hs-TnI)等生物标志物是检测心力衰竭(HF)风险的另一种方法,但在撒哈拉以南非洲有关这种方法的数据很零散。本研究的目的是确定戈马市无症状糖尿病患者的心衰风险与生物标志物评分之间的相关性。方法:2023 年 2 月 5 日至 19 日期间,在刚果(金)戈马的刚果糖尿病患者协会(ADIC)中心横向招募戈马市无症状糖尿病患者。使用脉压测定5年后心率不足的风险。利用 NTproBNP、hs-CRP、hs-troponin 和左心室肥厚(LVH)计算生物标志物得分。结果 在接受检查的 408 名糖尿病患者中,29.9% 有心力衰竭风险。生物标志物得分高的患者(57.7%)、1 型糖尿病患者(60%)和 2 型糖尿病患者(57.1%)发生心力衰竭的风险更高。生物标志物评分对心衰发生的独立风险。结论在我们的研究中,生物标志物评分与心力衰竭的风险相关,这与欧洲研究报告的评分元素增加有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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

Background

The 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.

Methods

Asymptomatic 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.

Results

Of 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).

Conclusion

The 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.

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