Suppr超能文献

在临床前模型中,缩窄持续时间和严重程度可预测高血压前期风险以及患者的高血压状态。

Coarctation duration and severity predict risk of hypertension precursors in a preclinical model and hypertensive status among patients.

作者信息

Ghorbannia Arash, Jurkiewicz Hilda, Nasif Lith, Ahmed Abdillahi, Co-Vu Jennifer, Maadooliat Mehdi, Woods Ronald K, LaDisa John F

机构信息

Department of Pediatrics - Division of Cardiology, Herma Heart Institute, Children's Wisconsin and the Medical College of Wisconsin, Milwaukee, Wisconsin, USA.

Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, Wisconsin, USA.

出版信息

medRxiv. 2024 Mar 19:2023.10.30.23297766. doi: 10.1101/2023.10.30.23297766.

Abstract

BACKGROUND

Coarctation of the aorta (CoA) often leads to hypertension (HTN) post-treatment. Evidence is lacking for the current >20 mmHg peak-to-peak blood pressure gradient (BPGpp) guideline, which can cause aortic thickening, stiffening and dysfunction. This study sought to find the BPGpp severity and duration that avoid persistent dysfunction in a preclinical model, and test if predictors translate to HTN status in CoA patients.

METHODS

Rabbits (N=75; 5-12/group) were exposed to mild, intermediate or severe CoA (≤12, 13-19, ≥20 mmHg BPGpp) for ~1, 3 or 22 weeks using dissolvable and permanent sutures with thickening, stiffening, contraction and endothelial function evaluated via multivariate regression. Relevance to CoA patients (N=239; age=0.01-46 years; median 3.7 months) was tested by retrospective review of predictors (preoperative BPGpp, surgical age, etc.) vs follow-up HTN status.

RESULTS

CoA duration and severity were predictive of aortic remodeling and active dysfunction in rabbits, and HTN in CoA patients. Interaction between patient age and BPGpp at surgery contributed significantly to HTN, similar to rabbits, suggesting preclinical findings translate to patients. Machine learning decision tree analysis uncovered that pre-operative BPGpp and surgical age predict risk of HTN along with residual post-operative BPGpp.

CONCLUSIONS

These findings suggest the current BPGpp threshold determined decades ago is likely too high to prevent adverse coarctation-induced aortic remodeling. The results and decision tree analysis provide a foundation for revising CoA treatment guidelines considering the interaction between CoA severity and duration to limit the risk of HTN.

摘要

背景

主动脉缩窄(CoA)治疗后常导致高血压(HTN)。目前>20 mmHg的峰峰值血压梯度(BPGpp)指南缺乏证据,该指南可能导致主动脉增厚、僵硬和功能障碍。本研究旨在寻找在临床前模型中避免持续性功能障碍的BPGpp严重程度和持续时间,并测试预测因素是否可转化为CoA患者的HTN状态。

方法

使用可溶解和永久性缝线,将兔子(N = 75;每组5 - 12只)暴露于轻度、中度或重度CoA(BPGpp≤12、13 - 19、≥20 mmHg)中1、3或22周,通过多变量回归评估主动脉增厚、僵硬、收缩和内皮功能。通过回顾性分析预测因素(术前BPGpp、手术年龄等)与随访HTN状态,测试其与CoA患者(N = 239;年龄 = 0.01 - 46岁;中位数3.7个月)的相关性。

结果

CoA的持续时间和严重程度可预测兔子的主动脉重塑和主动功能障碍,以及CoA患者的HTN。与兔子相似,患者年龄与手术时BPGpp之间的相互作用对HTN有显著影响,表明临床前研究结果可转化至患者。机器学习决策树分析发现,术前BPGpp和手术年龄连同术后残余BPGpp可预测HTN风险。

结论

这些发现表明,几十年前确定的当前BPGpp阈值可能过高,无法预防主动脉缩窄引起的不良主动脉重塑。研究结果和决策树分析为修订CoA治疗指南提供了基础,该指南考虑了CoA严重程度和持续时间之间的相互作用,以限制HTN风险。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验