评估重型地中海贫血成人和儿童的一些非常规心脏生物标志物。

Abdulkareem M Jewad, Ameer J Shwayel
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引用次数: 0

摘要

背景:由于频繁输血、铁超载和血液溶血,铁超载引起的心脏损伤是导致β地中海贫血患者死亡和发病的主要原因:本研究旨在评估重型β地中海贫血(βTM)儿童和成人患者及其各自对照组血液样本中的几种新型心脏生物标志物。这些生物标志物包括内皮素 1(ET-1)、N 端前脑钠肽 (NT-proBNP)、心房钠肽(ANP)、生长分化因子-15(GDF-15)和肾酶(RNLS):这项病例对照研究的对象是 46 名 βTM 患者(23 名儿童):βTM儿童和成人患者的ET-1、NT-proBNP、ANP、GDF-15、RNLS和铁蛋白水平均高于对照组:结论:与相似的对照组相比,βTM 儿童和成人患者血清中新型心脏生物标志物 ET-1、NT-proBNP、ANP、GDF-15 和 RNLS 的升高证实,即使没有明显症状,大多数βTM 患者仍有发生心脏和心血管并发症的风险,尤其是儿童患者,这提供了合适的预测性生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of some nonroutine cardiac biomarkers among adults and children with beta-thalassemia major.

Background: Cardiac injury caused by iron overload is the leading cause of mortality and morbidity in patients with beta-thalassemia, owing to frequent blood transfusion, increased iron overload, and blood hemolysis.

Objective: This research aimed to assess several novel cardiac biomarkers in the blood samples of children and adult patients with beta-thalassemia major (βTM), along with their respective control groups. These biomarkers included endothelin 1 (ET-1), N-terminal pro-brain natriuretic peptide (NT-proBNP), atrial natriuretic peptide (ANP), growth differentiation factor-15 (GDF-15), and renalase (RNLS).

Methods: This case-control study was done on 46 patients with βTM (23 children <18 years, and 23 adults ≥18 years) from the Genetic Hematology Center in Thi-Qar province, Iraq, and 42 comparable controls in 2 groups (21 for each group) in the period from February to April 2023.

Results: Levels of ET-1, NT-proBNP, ANP, GDF-15, RNLS, and ferritin were higher in the children and adults with βTM than in the control subjects.

Conclusion: Elevations of the novel cardiac biomarkers ET-1, NT-proBNP, ANP, GDF-15, and RNLS in the sera of children and adult patients with βTM when compared with comparable control subjects confirm that the majority of patients with βTM are at risk of cardiac and cardiovascular complications even when there are no obvious symptoms, especially in children, which gives suitable predictive biomarkers.

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