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
Related Articles
Your story is needed to improve outcomes for moms like you. Add your voice to critical preeclampsia research to ensure that every story is heard.
Frequently asked questions about the Preeclampsia Registry, a patient-driven registry and biobank.
The Preeclampsia Foundation offers research funding, study recruitment, and other patient engagement services to researchers.
We provide research grant funding to advance progress towards detection, prevention, or treatment of preeclampsia, HELLP syndrome, and other hypertensive disorders of pregnancy.
1785353792.png)
Preeclampsia is a serious complication of pregnancy that can affect a woman’s health beyond pregnancy. For a long time, it has been clear that women who experience preeclampsia have a greater ch...
1785337209.png)
Black women in the United States experience preeclampsia more often and are more likely to experience severe complications from it than White women. Traditional risk factors, such as high blood pressu...
1785336951.png)
High blood pressure disorders during pregnancy, including preeclampsia and gestational hypertension, are common complications that affect approximately 5–10% of pregnancies. Although these condi...
1785336695.png)
Preeclampsia is a serious pregnancy complication that causes high blood pressure and can harm organs like the kidneys, liver, and brain. It affects thousands of pregnancies every year and remains one...
Hypertensive disorders of pregnancy, such as high blood pressure during pregnancy, are a major cause of illness and death for mothers. It is important to find women who are at risk as early as possibl...