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
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.
Preeclampsia is a life-threatening hypertensive disorder, affecting 2%–5% of pregnancies, that remains poorly understood. In a recent study published by Physiological Genomics that was...
Echocardiography, commonly referred to as cardiac ultrasound or an “echo”, generates visual images of the heart known as echocardiograms. This imaging technique is especially informative d...
There is an increased cardiovascular risk after a pregnant woman has preeclampsia. Previous research found that there are signs of early cardiovascular aging when a woman is six months postpartum...
The accuracy of medical history is critical for the care of any patient. Preeclampsia increases the risk of complications in future pregnancies and is also associated with an increased risk of cardiov...
The authors of this paper note that an increasing number of people are being readmitted to the hospital within six weeks of discharge home after delivery and that many of these persons had a hypertens...