Placental pathology measures: Can they be rapidly and reliably integrated into large-scale perinatal studies?
Placental pathology measures: Can they be rapidly and reliably integrated into large-scale perinatal studies?
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DOI：
10.1016/j.placenta.2015.03.001
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发表时间：
2015-06-01
期刊：
影响因子：
3.8
通讯作者：
Parks, W. T.
中科院分区：
文献类型：
--
作者：
Catov, J. M.;Peng, Y.;Parks, W. T.
简介：正常的胎盘功能对于优化胎儿生长和发育至关重要，但很少有围产期研究纳入胎盘测量。我们的目标是将临床胎盘病理记录与出生记录联系起来，并验证自动提取策略。 方法：在我们医院 2008 年至 2012 年的 47,329 例分娩中，我们检索了病理报告的电子副本（n = 21,585，45.4%）。使用 Java 和结构化查询语言 (SQL) 通过可扩展标记语言 (XML) 脚本提取病理数据，并将文本信息转换为链接到交付数据的变量。选择一个记录子组进行验证研究，比较自动提取和手动提取 (n = 144)。 结果：关联的出生胎盘记录包括所有早产儿的 93%（
Introduction: Normal placental function is critical to optimize fetal growth and development, but few perinatal studies incorporate placental measures. Our objectives were to link clinical placental pathology records to birth records, and validate an automated abstraction strategy.Methods: Of the 47,329 deliveries at our hospital from 2008 to 2012, we retrieved electronic copies of pathology reports (n = 21,585, 45.4%). Pathology data were extracted with Extensible Markup Language (XML) script using Java and structured query language (SQL) transformed the text information into variables that were linked to delivery data. A subgroup of records was selected for a validation study that compared automated to manual abstraction (n = 144).Results: Linked birth-placental records included 93% of all preterm (