Nelson Jennifer S, Stebbins Rebecca C, Strassle Paula D, Meyer Robert E
Department of Surgery, Division of Cardiothoracic Surgery, University of North Carolina School of Medicine, Chapel Hill, North Carolina.
University of North Carolina Gillings School of Global Public Health, Chapel Hill, North Carolina.
Birth Defects Res A Clin Mol Teratol. 2016 Nov;106(11):881-887. doi: 10.1002/bdra.23566.
Geographic variation in congenital heart disease is not well-described. This study uses geographic information systems (GIS) to describe the spatial epidemiology of tetralogy of Fallot (TOF), in North Carolina (NC) and to compare travel time for cases to congenital heart centers in NC.
Using the NC Birth Defects Monitoring Program database, live births with TOF born between 2003 and 2012 were identified. Birth certificates provided demographic variables. A denominator of live births/zip code was obtained from the NC live births database. ArcGIS® software was used to illustrate TOF prevalence by zip code, and SatScanTM was used to identify spatial clusters of TOF cases and to identify changes in cluster location over time. Driving time to each of five NC congenital heart centers was predicted based on road systems information.
A total of 496 infants were born with TOF between 2003 and 2012. The prevalence was 4.2/10,000 live births. A large cluster (330 zip codes, 306 cases) was identified in northeastern NC. Average driving time for each case to closest congenital heart center was: University of North Carolina 37 min, Vident Medical Center 64 min, Duke University 58 min, Carolina's Medical Center 89 min, and Wake Forest Baptist Health 57 min. Overall, average predicted driving time to the nearest congenital heart center was 61 min.
Approximately 50 infants/year were born with TOF in NC. One cluster was identified. Further study is necessary to explore potential explanations for the observed case cluster. As interest in regionalization of congenital heart surgery grows, GIS and spatial analysis can become increasingly useful tools for health care planning. Birth Defects Research (Part A) 106:881-887, 2016. © 2016 Wiley Periodicals, Inc.
先天性心脏病的地域差异尚无充分描述。本研究使用地理信息系统(GIS)描述北卡罗来纳州(NC)法洛四联症(TOF)的空间流行病学,并比较病例前往NC先天性心脏病中心的就诊时间。
利用NC出生缺陷监测项目数据库,确定2003年至2012年间出生的患有TOF的活产婴儿。出生证明提供了人口统计学变量。从NC活产数据库中获取每个邮政编码区域的活产分母数据。使用ArcGIS®软件按邮政编码说明TOF患病率,使用SatScanTM识别TOF病例的空间聚集情况,并确定聚集位置随时间的变化。根据道路系统信息预测前往NC五个先天性心脏病中心中每个中心的驾车时间。
2003年至2012年间共有496名婴儿患有TOF。患病率为4.2/10000活产。在NC东北部发现了一个大的聚集区(330个邮政编码区域,306例病例)。每个病例前往最近的先天性心脏病中心的平均驾车时间为:北卡罗来纳大学37分钟,Vident医疗中心64分钟,杜克大学58分钟,卡罗莱纳医疗中心89分钟,维克森林浸信会医疗中心57分钟。总体而言,预测前往最近先天性心脏病中心的平均驾车时间为61分钟。
NC每年约有50名婴儿患有TOF。发现了一个聚集区。有必要进一步研究以探索观察到的病例聚集的潜在原因。随着对先天性心脏病手术区域化的兴趣增加,GIS和空间分析可成为医疗保健规划中越来越有用的工具。《出生缺陷研究(A部分)》106:881 - 887,2016年。©2016威利期刊公司