Development of phenotyping algorithms for hypertensive disorders of pregnancy (HDP) and their application in more than 22,000 pregnant women
This study aimed to examine the performance of two algorithms for diagnosis of hypertensive disorders of pregnancy (HDP) with medical record data from a large cohort of pregnant women. In this article, the researchers emphasize the importance of having an accurate method of identifying HDP in large-scale studies, given the potential health implications for pregnant women.
The algorithms tested in this study were based on American and Japanese guidelines and tested on data from nearly 23,000 pregnant women in Japan’s BirThree Cohort Study. These algorithms considered various factors such as blood pressure levels, previous high blood pressure history, protein in the urine (proteinuria), and signs of maternal organ dysfunction to diagnose conditions like gestational hypertension, early and late-onset preeclampsia, and early and late-onset superimposed preeclampsia.
Overall applying these algorithms to the data, researchers were able to accurately identify HDP diagnoses and their sub-types in this research cohort. The positive predictive value (PPV) is a statistical metric used to measure the algorithms' performance. The PPV indicated the proportion of actual positive diagnoses (true HDP cases) among all positive results given by the algorithms. The PPVs were 96% and 90% for the American and Japanese algorithms, respectively. This high accuracy demonstrates the reliability of using these diagnostic tools in large cohort studies to identify different types of hypertensive disorders during pregnancy.
Take Home Message: This study demonstrates that applying these algorithms to large cohort data of pregnant individuals can help identify HDP and therefore be used to support HDP research.
Link: https://www.nature.com/articles/s41598-024-55914-9
Citation: Mizuno, S., Wagata, M., Nagaie, S., Ishikuro, M., Obara, T., Tamiya, G., Kuriyama, S., Tanaka, H., Yaegashi, N., Yamamoto, M., Sugawara, J., & Ogishima, S. (2024, March 15). Development of phenotyping algorithms for hypertensive disorders of pregnancy (HDP) and their application in more than 22,000 pregnant women. Nature News. https://www.nature.com/articles/s41598-024-55914-9
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