Ross Colton J, Mir Arshid, Burkhart Harold M, Holzapfel Gerhard A, Lee Chung-Hao
Biomechanics and Biomaterials Design Laboratory, University of Oklahoma, Norman, OK 73019, USA.
Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
J Cardiovasc Dev Dis. 2023 Mar 7;10(3):111. doi: 10.3390/jcdd10030111.
Hypoplastic Left Heart Syndrome (HLHS) is a congenital heart defect that requires a three-stage surgical palliation to create a single ventricle system in the right side of the heart. Of patients undergoing this cardiac palliation series, 25% will develop tricuspid regurgitation (TR), which is associated with an increased mortality risk. Valvular regurgitation in this population has been extensively studied to understand indicators and mechanisms of comorbidity. In this article, we review the current state of research on TR in HLHS, including identified valvular anomalies and geometric properties as the main reasons for the poor prognosis. After this review, we present some suggestions for future TR-related studies to answer the central question: What are the predictors of TR onset during the three palliation stages? These studies involve (i) the use of engineering-based metrics to evaluate valve leaflet strains and predict tissue material properties, (ii) perform multivariate analyses to identify TR predictors, and (iii) develop predictive models, particularly using longitudinally tracked patient cohorts to foretell patient-specific trajectories. Regarded together, these ongoing and future efforts will result in the development of innovative tools that can aid in surgical timing decisions, in prophylactic surgical valve repair, and in the refinement of current intervention techniques.
左心发育不全综合征(HLHS)是一种先天性心脏缺陷,需要进行三阶段的外科姑息手术,以在心脏右侧创建一个单心室系统。在接受这一系列心脏姑息治疗的患者中,25%会出现三尖瓣反流(TR),这与死亡风险增加相关。对这一人群中的瓣膜反流进行了广泛研究,以了解合并症的指标和机制。在本文中,我们回顾了HLHS中TR的研究现状,包括已确定的瓣膜异常和几何特性是预后不良的主要原因。在这篇综述之后,我们对未来与TR相关的研究提出了一些建议,以回答核心问题:在三个姑息治疗阶段中,TR发生的预测因素是什么?这些研究包括:(i)使用基于工程的指标来评估瓣膜小叶应变并预测组织材料特性;(ii)进行多变量分析以识别TR预测因素;(iii)开发预测模型,特别是使用纵向跟踪的患者队列来预测患者特定的病程。综合来看,这些正在进行的和未来的努力将导致创新工具的开发,这些工具可以帮助做出手术时机决策、进行预防性外科瓣膜修复以及改进当前的干预技术。