Department of Pediatrics University of Michigan Ann Arbor MI USA.
Pediatric Affiliates, Sutter Health San Francisco CA USA.
J Am Heart Assoc. 2024 Mar 5;13(5):e029798. doi: 10.1161/JAHA.123.029798. Epub 2024 Feb 23.
The complexity of congenital heart disease has been primarily stratified on the basis of surgical technical difficulty, specific diagnoses, and associated outcomes. We report on the refinement and validation of a pediatric echocardiography complexity (PEC) score.
The American College of Cardiology Quality Network assembled a panel from 12 centers to refine a previously published PEC score developed in a single institution. The panel refined complexity categories and included study modifiers to account for complexity related to performance of the echocardiogram. Each center submitted data using the PEC scoring tool on 15 consecutive inpatient and outpatient echocardiograms. Univariate and multivariate analyses were performed to assess for independent predictors of longer study duration. Among the 174 echocardiograms analyzed, 68.9% had underlying congenital heart disease; 44.8% were outpatient; 34.5% were performed in an intensive care setting; 61.5% were follow-up; 46.6% were initial or preoperative; and 9.8% were sedated. All studies had an assigned PEC score. In univariate analysis, longer study duration was associated with several patient and study variables (age <2 years, PEC 4 or 5, initial study, preoperative study, junior or trainee scanner, and need for additional imaging). In multivariable analysis, a higher PEC score of 4 or 5 was independently associated with longer study duration after controlling for study variables and center variation.
The PEC scoring tool is feasible and applicable in a variety of clinical settings and can be used for correlation with diagnostic errors, allocation of resources, and assessment of physician and sonographer effort in performing, interpreting, and training in pediatric echocardiography.
先天性心脏病的复杂性主要基于手术技术难度、特定诊断和相关结果进行分层。我们报告了一种儿科超声心动图复杂性(PEC)评分的改进和验证。
美国心脏病学会质量网络从 12 个中心召集了一个小组,对之前在单个机构开发的 PEC 评分进行了改进。该小组改进了复杂性类别,并纳入了研究修饰符,以考虑与执行超声心动图相关的复杂性。每个中心使用 PEC 评分工具对 15 例连续的住院和门诊超声心动图进行评分。进行了单变量和多变量分析,以评估研究持续时间较长的独立预测因素。在分析的 174 份超声心动图中,68.9%有基础先天性心脏病;44.8%为门诊患者;34.5%在重症监护病房进行;61.5%为随访;46.6%为初始或术前;9.8%为镇静。所有研究均有指定的 PEC 评分。在单变量分析中,研究持续时间较长与患者和研究变量有关(年龄<2 岁、PEC 4 或 5、初始研究、术前研究、初级或受训扫描师以及需要额外成像)。在多变量分析中,在控制研究变量和中心差异后,PEC 评分较高(4 或 5)与研究持续时间较长独立相关。
PEC 评分工具在各种临床环境中是可行且适用的,可用于与诊断错误相关联、资源分配以及评估执行、解释和培训儿科超声心动图的医生和超声医师的努力。