Title: Synopsis of the existing preeclampsia detention tools and devices
Authors: Kanyana Ruth,Eng Kibirige David, Dr. Mugisha Edward
Volume: 8
Issue: 9
Pages: 123-126
Publication Date: 2024/09/28
Abstract:
Preeclampsia is a serious pregnancy-related condition characterized by high blood pressure and potential damage to organs, most commonly the liver and kidneys. Early detection and prediction are critical for managing the condition and reducing maternal and fetal morbidity and mortality. A range of devices and tools are employed to monitor and predict the onset of preeclampsia in pregnant women. These include traditional methods like blood pressure monitors and urine protein dipsticks, as well as advanced technologies such as Doppler ultrasound and bioimpedance analysis. Recent developments in biomarker discovery have led to the use of specific blood tests that measure levels of angiogenic factors, which are indicative of preeclampsia risk. Additionally, wearable technologies and remote monitoring systems have emerged, enabling continuous tracking of vital signs and providing real-time data analysis to predict the condition. Machine learning models are also being integrated into prediction algorithms, enhancing the accuracy of preeclampsia forecasts by analyzing a combination of clinical, demographic, and biochemical data. These tools, combined with regular prenatal care, form a comprehensive approach to the early detection and management of preeclampsia, ultimately improving outcomes for both mothers and their babies.