Birth Defects Registry, New York State Department of Health, Albany, New York, USA.
Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, Rensselaer, New York, USA.
Birth Defects Res. 2024 Sep;116(9):e2399. doi: 10.1002/bdr2.2399.
The New York State Birth Defects Registry (BDR) has passive and active components. As part of statewide passive ascertainment, the BDR receives reports of International Classification of Diseases, Tenth Revision (ICD-10) codes and descriptive narratives on a wide range of birth defects. The BDR conducts enhanced active surveillance for selected birth defects in 14 counties, which includes medical record abstraction and clinician review. We sought to quantify agreement between the two surveillance approaches.
The analysis included live-born infants born with one of the 16 birth defects in 2018-2021 in the active surveillance counties (n = 1069 infants). We calculated positive predictive values (PPV) and 95% confidence intervals for each defect, defined as the percentage of cases confirmed in active surveillance among those in passive surveillance. Additionally, we calculated the percentage with each birth defect missed by passive surveillance.
The PPV varied greatly by birth defect. The PPV was >90% for gastroschisis and cleft lip, but <70% for spina bifida, diaphragmatic hernia, truncus arteriosus, tricuspid atresia, hypoplastic left heart syndrome, coarctation of the aorta, and pulmonary atresia. The percentage missed by passive surveillance ranged from 2% for tetralogy of Fallot to 39% for tricuspid atresia.
Active surveillance is an important strategy for ruling out false positive case reports for certain birth defects that we assessed, but not all of them. Passive surveillance programs can use our findings to develop targeted strategies for improving data quality of specific birth defects using active surveillance methods, thus optimizing limited resources.
纽约州出生缺陷登记处(BDR)具有被动和主动两个组成部分。作为全州范围被动确认的一部分,BDR 接收关于国际疾病分类,第十版(ICD-10)代码和各种出生缺陷的描述性叙述的报告。BDR 在 14 个县对选定的出生缺陷进行强化主动监测,其中包括病历摘录和临床医生审查。我们旨在量化两种监测方法之间的一致性。
该分析包括在主动监测县中于 2018 年至 2021 年期间出生的患有 16 种出生缺陷之一的活产婴儿(n=1069 名婴儿)。我们计算了每种缺陷的阳性预测值(PPV)和 95%置信区间,定义为在被动监测中确认的病例数在主动监测中的百分比。此外,我们计算了每个出生缺陷在被动监测中遗漏的百分比。
PPV 因出生缺陷而异。腹裂和唇裂的 PPV 大于 90%,但脊柱裂、膈疝、动脉干畸形、三尖瓣闭锁、左心发育不全综合征、主动脉缩窄和肺动脉闭锁的 PPV 小于 70%。被动监测遗漏的百分比从法洛四联症的 2%到三尖瓣闭锁的 39%不等。
主动监测是排除我们评估的某些出生缺陷的假阳性病例报告的重要策略,但并非所有出生缺陷都如此。被动监测计划可以利用我们的研究结果,使用主动监测方法针对特定出生缺陷制定有针对性的策略,从而优化有限的资源,提高数据质量。