J. Nelson, Rebecca C. Stebbins, P. Strassle, R. Meyer
{"title":"Geographic distribution of live births with tetralogy of Fallot in North Carolina 2003 to 2012.","authors":"J. Nelson, Rebecca C. Stebbins, P. Strassle, R. Meyer","doi":"10.1002/bdra.23566","DOIUrl":null,"url":null,"abstract":"BACKGROUND\nGeographic 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.\n\n\nMETHODS\nUsing 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.\n\n\nRESULTS\nA 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.\n\n\nCONCLUSION\nApproximately 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.","PeriodicalId":8983,"journal":{"name":"Birth defects research. Part A, Clinical and molecular teratology","volume":"10 1","pages":"881-887"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Birth defects research. Part A, Clinical and molecular teratology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/bdra.23566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 10
2003 - 2012年北卡罗来纳州法洛四联症活产婴儿的地理分布。
背景:先天性心脏病的地理差异尚未得到很好的描述。本研究利用地理信息系统(GIS)描述了北卡罗来纳州法洛四联症(TOF)的空间流行病学,并比较了病例到北卡罗来纳州先天性心脏中心的旅行时间。方法利用NC出生缺陷监测程序数据库,对2003 ~ 2012年出生的TOF活产婴儿进行分析。出生证明提供了人口统计变量。从NC活产数据库中获得活产的分母/邮政编码。使用ArcGIS®软件按邮政编码说明TOF的流行情况,使用SatScanTM识别TOF病例的空间集群,并识别集群位置随时间的变化。根据道路系统信息预测到五个NC先天性心脏中心的驾驶时间。结果2003 - 2012年共496例TOF患儿。患病率为4.2/10,000活产。在北卡东北部发现了一个大集群(330个邮政编码,306例)。每个病例到最近的先天性心脏中心的平均开车时间为:北卡罗来纳大学37分钟,维登特医疗中心64分钟,杜克大学58分钟,卡罗莱纳医疗中心89分钟,维克森林浸信会健康中心57分钟。总体而言,到最近的先天性心脏中心的平均预测开车时间为61分钟。结论在北卡罗来纳州每年约有50名婴儿出生时患有TOF。确定了一个集群。有必要进一步研究以探索对观察到的病例聚集的潜在解释。随着对先天性心脏手术区域化的兴趣的增长,地理信息系统和空间分析可以成为越来越有用的卫生保健规划工具。出生缺陷研究(A辑)(6):881-887,2016。©2016 Wiley期刊公司
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