American Journal of Epidemiology Advance Access published online on January 14, 2008
American Journal of Epidemiology, doi:10.1093/aje/kwm367
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Original Contribution |
Sensitivity and Specificity of Computerized Algorithms to Classify Gestational Periods in the Absence of Information on Date of Conception
1 Department of Epidemiology, Harvard School of Public Health, Boston, MA
2 Slone Epidemiology Center at Boston University, Boston, MA
Correspondence to Sengwee Toh, Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115 (e-mail: swtoh{at}hsph.harvard.edu).
Received for publication June 20, 2007. Accepted for publication November 8, 2007.
To evaluate the accuracy of computerized algorithms for pinpointing periods of exposure to medications during pregnancy in the absence of data on timing of conception, the authors used data from a population-based sample of nonmalformed infants in the Slone Epidemiology Center Birth Defects Study in 1998–2006 (United States and Canada; N = 3,177). The standard was defined as any antiinfective use from 2 weeks after the last menstrual period through the third gestational month, which was compared with results obtained after defining the beginning of pregnancy as either 270 days before the birth date (delivery-date algorithm) or the date of the first prenatal visit (pregnancy-indicator algorithm). The sensitivity was 92% (95% confidence interval: 88, 95) for the delivery-date algorithm and 59% (95% confidence interval: 53, 65) for the pregnancy-indicator algorithm. The specificity was higher than 98% for both algorithms. The sensitivity for the delivery-date algorithm among women with preterm births was 66% (95% confidence interval: 49, 80). For women without pregnancy complications, subtraction of 270 days from the delivery date might be accurate for timing first-trimester prescription drug use in automated databases. However, the sensitivity of this algorithm is lower for preterm deliveries, suggesting limited validity to assess drug safety for pregnancy outcomes associated with prematurity.
databases, factual; pregnancy; sensitivity and specificity; validation studies
Abbreviations: BDS, Slone Epidemiology Center Birth Defects Study; LMP, last menstrual period
Editor's note: An invited commentary on this article appears on page 000, and the authors' response is published on page 000.
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