Suppr超能文献

Nt-脑钠肽前体在预测小儿肥厚型心肌病预后中的作用

The Role of Nt-Pro-Bnp in Predicting Outcome in Pediatric Hypertrophic Cardiomyopathy.

作者信息

Cantarutti Nicoletta, Adorisio Rachele, Di Marzio Sara, Cicenia Marianna, Battipaglia Irma, Mencarelli Erica, Silvetti Massimo Stefano, Amodeo Antonio, Drago Fabrizio

机构信息

Pediatric Cardiology and Cardiac Arrhythmia/Syncope Unit, Bambino Gesù Children's Hospital, IRCCS, Via Della Torre Di Palidoro, 00054, Fiumicino, RM, Italy.

Heart Failure and Transplant, Mechanical Circulatory Support Unit, Bambino Gesù Children's Hospital, IRCCS, Piazzale Sant'Onofrio 4, 00165, Rome, Italy.

出版信息

Pediatr Cardiol. 2024 Nov 24. doi: 10.1007/s00246-024-03702-7.

Abstract

HYPOTHESIS

The aim of the study was to evaluate the correlation between NTproBNP and left ventricular mass (LVM) in children affected by hypertrophic cardiomyopathy (HCM), both asymptomatic, symptomatic, and with implantable cardioverter-defibrillator (ICD).

METHODS

A total of 225 pediatric patients were evaluated and 45 were enrolled in the study because met inclusion criteria (age < 18 years; diagnosis of hypertrophic cardiomyopathy; NTproBNP > 600 pg/ml).

RESULTS

The analysis showed a significant correlation between NTproBNP level and LVM (p = 0.024). ANOVA test showed that high level of NTproBNP and LVM were significantly correlated to ICD implantation (p = 0.001; p = 0.003). Multivariate analysis showed NTproBNP as an independent risk factor for ICD implantation (p = 0.035).

CONCLUSION

Our study showed that NTproBNP levels directly correlated to LVM and disease progression and it was found to be predictive, together with LVM, of ICD implantation.

摘要

假设

本研究的目的是评估肥厚型心肌病(HCM)患儿(包括无症状、有症状以及植入式心脏复律除颤器(ICD)携带者)的N末端B型利钠肽原(NTproBNP)与左心室质量(LVM)之间的相关性。

方法

共评估了225例儿科患者,其中45例因符合纳入标准(年龄<18岁;肥厚型心肌病诊断;NTproBNP>600 pg/ml)而纳入研究。

结果

分析显示NTproBNP水平与LVM之间存在显著相关性(p = 0.024)。方差分析表明,NTproBNP高水平和LVM与ICD植入显著相关(p = 0.001;p = 0.003)。多变量分析显示NTproBNP是ICD植入的独立危险因素(p = 0.035)。

结论

我们的研究表明,NTproBNP水平与LVM和疾病进展直接相关,并且发现它与LVM一起可预测ICD植入。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验