2025 Spring International Convention of
The Pharmaceutical Society of Korea

2025 Spring
International Convention of PSK

04.21(MON) - 04.22(TUE)
D+77

Abstracts

P12-8

Validation of gestational age estimation algorithms using healthcare claims data in Korea

  • Woo-Jung Kim1, Yunha Noh2, Yongtai Cho3, Eun-Young Choi3, HyunJoo Lim4, Hyesung Lee*5, Ju-Young Shin*3,4,6
  • 1Department of Pharmaceutical Industry, School of Pharmacy, Sungkyunkwan University, Suwon, South Korea.
  • 2College of Pharmacy, Chonnam National University, Gwangju, South Korea.
  • 3School of Pharmacy, Sungkyunkwan University, Suwon, South Korea.
  • 4Department of Biohealth Regulatory Science, School of Pharmacy, Sungkyunkwan University, Suwon, South Korea.
  • 5Department of Medical Informatics, Kangwon National University College of Medicine, Chuncheon, South Korea.
  • 6Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, South Korea.

Background: Accurate gestational age (GA) estimation is crucial in maternal and perinatal health research. However, the fixed-duration last menstrual period (LMP) estimation method has not been validated in Korea. Objectives: We utilized the Korea’s claims data, linked with the Korea Immunization Registry Information System (KIRIS), which provides data on GA at the time of vaccination. This study aimed to validate a deterministic GA estimation algorithm based on fixed-duration LMP estimation, by comparing the estimated LMP with those calculated from KIRIS (considered the gold standard). Methods: Based on the GA at vaccination recorded in KIRIS, the gold standard LMP was calculated by subtracting it from the vaccination date, with an additional 3-day adjustment to better approximate the pregnancy start. We then estimated LMP using our GA estimation algorithm across various pregnancy outcomes by subtracting a fixed duration from the pregnancy end date: 39 weeks for live births, 10 weeks for spontaneous and induced abortions, 28 weeks for stillbirths, and 8 weeks for ectopic pregnancies. Finally, we compared the estimated LMP with the gold standard LMP by evaluating the accuracy for each pregnancy outcome. Accuracy was assessed by the proportions of estimated LMPs falling within 1-4 weeks of the gold standard among pregnancy episodes stratified by each pregnancy outcome. Results: Among 357,229 pregnancy episodes, accuracies at the two-week threshold were as follows: live births, 92.0% (319,460/347,089; 95% CI: 92.0-92.1); induced abortions, 55.6% (10/18; 33.7-75.4); stillbirths, 13.4% (19/202; 6.1-14.2); spontaneous abortions 56.2% (1,658/2,952; 54.4-58.0); and ectopic pregnancies, 21.4% (12/56; 12.7-33.8). The four-week threshold did not show a significant improvement in accuracy. Conclusion: The fixed-duration LMP estimation method is reliable for live births within the Korean healthcare data. However, there is a need for an improved model for non-live births, particularly stillbirths, to reduce their GA misclassification.


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TODAY 2025. 07. 08

2025 Spring Convention

D+77

Conference infomation

Conference Schedule
Apr. 21(Mon) ~ 22(Tue), 2025
Conference Venue
Daegu Exhibition & Convention Center (EXCO) 10 Exco-ro, Buk-gu, Daegu, Republic of Korea
Location
Early Registration Period
Feb. 24(Mon) ~ Apr. 14(Mon), 2025
Abstract Submission Period
Feb. 24(Mon) ~ Apr. 3(Thu), 2025
Certificate of Attendance