Validation of an algorithm to estimate gestational age in electronic health plan databases.
Validation of an algorithm to estimate gestational age in electronic health plan databases.
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DOI：
10.1002/pds.3407
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发表时间：
2013-05
影响因子：
2.6
通讯作者：
Toh, Sengwee
中科院分区：
文献类型：
--
作者：
Li, Qian;Andrade, Susan E.;Cooper, William O.;Davis, Robert L.;Dublin, Sascha;Hammad, Tarek A.;Pawloski, Pamala A.;Pinheiro, Simone P.;Raebel, Marsha A.;Scott, Pamela E.;Smith, David H.;Dashevsky, Inna;Haffenreffer, Katherine;Johnson, Karin E.;Toh, Sengwee
关键词：
验证使用分娩日期和诊断代码定义电子健康计划数据库中出生时胎龄的算法。使用2001-2007年参与妊娠期药物暴露风险评估计划的11个健康计划中的8个计划中的225，384名15-45岁妇女的活产数据，我们比较了1）算法推导的胎龄与从婴儿出生证明文件中获得的“金标准”胎龄;和2）产前暴露状态的两种抗抑郁药（氟西汀和舍曲林）和两种抗生素（阿莫西林和阿奇霉素）所确定的算法得出的黄金标准胎龄。算法得出的出生时平均胎龄低于单胎分娩（267.9 vs 273.5天）中出生证明文件中获得的平均值，但不低于多胎分娩（253.9 vs 252.6天）。算法推导的产前抗抑郁药暴露的灵敏度和阳性预测值（PPV）≥ 95%，特异性和阴性预测值（NPV）几乎为100%。敏感性和阳性预测值均≥ 90%，特异性和阴性预测值均>99%。基于电子健康计划数据的胎龄算法正确分类了大多数活产分娩中的药物暴露状态，但对于通常用于短期的药物，错误分类可能更高。
To validate an algorithm that uses delivery date and diagnosis codes to define gestational age at birth in electronic health plan databases. Using data from 225,384 live born deliveries among women aged 15–45 years in 2001–2007 within 8 of the 11 health plans participating in the Medication Exposure in Pregnancy Risk Evaluation Program, we compared 1) the algorithm-derived gestational age versus the “gold-standard” gestational age obtained from the infant birth certificate files; and 2) the prenatal exposure status of two antidepressants (fluoxetine and sertraline) and two antibiotics (amoxicillin and azithromycin) as determined by the algorithm-derived versus the gold-standard gestational age. The mean algorithm-derived gestational age at birth was lower than the mean obtained from the birth certificate files among singleton deliveries (267.9 versus 273.5 days) but not among multiple-gestation deliveries (253.9 versus 252.6 days). The algorithm-derived prenatal exposure to the antidepressants had a sensitivity and a positive predictive value (PPV) of ≥95%, and a specificity and a negative predictive value (NPV) of almost 100%. Sensitivity and PPV were both ≥90%, and specificity and NPV were both >99% for the antibiotics. A gestational age algorithm based upon electronic health plan data correctly classified medication exposure status in most live born deliveries, but misclassification may be higher for drugs typically used for short durations.
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影响因子：
2.6
作者：
Andrade, Susan E.;McPhillips, Heather;Platt, Richard
通讯作者：
Platt, Richard
影响因子：
2.6
作者：
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影响因子：
2.6
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Andrade, SE
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Coyne, James C.
影响因子：
2.3
作者：
Andrade, Susan E.;Davis, Robert L.;Scott, Pamela E.
通讯作者：
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