Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Division of Pediatric Cardiology, Department of Pediatrics, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA.
Birth Defects Res. 2024 Aug;116(8):e2393. doi: 10.1002/bdr2.2393.
Traditional strategies for grouping congenital heart defects (CHDs) using birth defect registry data do not adequately address differences in expected clinical consequences between different combinations of CHDs. We report a lesion-specific classification system for birth defect registry-based outcome studies.
For Core Cardiac Lesion Outcome Classifications (C-CLOC) groups, common CHDs expected to have reasonable clinical homogeneity were defined. Criteria based on combinations of Centers for Disease and Control-modified British Pediatric Association (BPA) codes were defined for each C-CLOC group. To demonstrate proof of concept and retention of reasonable case counts within C-CLOC groups, Texas Birth Defect Registry data (1999-2017 deliveries) were used to compare case counts and neonatal mortality between traditional vs. C-CLOC classification approaches.
C-CLOC defined 59 CHD groups among 62,262 infants with CHDs. Classifying cases into the single, mutually exclusive C-CLOC group reflecting the highest complexity CHD present reduced case counts among lower complexity lesions (e.g., 86.5% of cases with a common atrium BPA code were reclassified to a higher complexity group for a co-occurring CHD). As expected, C-CLOC groups had retained larger sample sizes (i.e., representing presumably better-powered analytic groups) compared to cases with only one CHD code and no occurring CHDs.
This new CHD classification system for investigators using birth defect registry data, C-CLOC, is expected to balance clinical outcome homogeneity in analytic groups while maintaining sufficiently large case counts within categories, thus improving power for CHD-specific outcome association comparisons. Future outcome studies utilizing C-CLOC-based classifications are planned.
使用出生缺陷登记数据对先天性心脏病(CHD)进行分组的传统策略不能充分解决不同 CHD 组合之间预期临床后果的差异。我们报告了一种基于出生缺陷登记的结局研究的病变特异性分类系统。
对于核心心脏病变结局分类(C-CLOC)组,定义了预期具有合理临床同质性的常见 CHD。为每个 C-CLOC 组定义了基于疾病控制中心-改良英国儿科协会(BPA)代码组合的标准。为了证明概念的合理性和在 C-CLOC 组内保留合理的病例数,使用德克萨斯州出生缺陷登记处(1999-2017 年分娩)的数据来比较传统分类方法与 C-CLOC 分类方法之间的病例数和新生儿死亡率。
C-CLOC 在 62262 例患有 CHD 的婴儿中定义了 59 个 CHD 组。将病例分类为反映最高复杂性 CHD 的单一、互斥的 C-CLOC 组减少了较低复杂性病变的病例数(例如,具有常见心房 BPA 代码的 86.5%的病例被重新分类为伴有并发 CHD 的更高复杂性组)。正如预期的那样,C-CLOC 组保留了更大的样本量(即,代表可能更强大的分析组),而不是只有一个 CHD 代码且没有并发 CHD 的病例。
这种用于使用出生缺陷登记数据的研究人员的新 CHD 分类系统,C-CLOC,预计将在分析组中平衡临床结局的同质性,同时在类别内保持足够大的病例数,从而提高 CHD 特异性结局关联比较的效力。计划未来使用基于 C-CLOC 的分类进行的结局研究。