We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App




Mobile Phone App Determines Risk of Preterm Birth

By HospiMedica International staff writers
Posted on 09 Mar 2020
Print article
Image: The QUiPP v2 app can calculate pre-term birth risk (Photo courtesy of GeneticApps)
Image: The QUiPP v2 app can calculate pre-term birth risk (Photo courtesy of GeneticApps)
A user-friendly mobile phone application will allow doctors to quickly calculate a woman's individual risk of preterm birth, claims a new study.

Developed by researchers at King’s College London (KCL; United Kingdom), QUiPP v2 calculates spontaneous preterm birth (sPTB) risk based on a woman's individual risk factors, such as previous preterm birth, late miscarriage, or symptoms, along with clinical test results that help to predict preterm birth, such as cervical length (CL), quantitative fetal fibronectin (qfFN) or both tests combined, and taking into account further risk factors, such as multiple pregnancy. The app then produces a simple individual percentage risk score.

To test the app, the researchers conducted a prospective secondary analysis of data of asymptomatic women at high risk of sPTB recruited in 13 UK preterm birth clinics. In all, 1,803 women (3,878 visits) were included in the training set, and 904 women (1,400 visits) in the validation set. The results revealed that QUiPP v2 showed high accuracy for the prediction of sPTB at < 30, < 34 and < 37 weeks' gestation, and within one, two, and four weeks of testing. The study was published in the March 2020 issue of Ultrasound in Obstetrics and Gynecology.

“We are delighted to be able to share the findings of our work, which shows that the QUiPP app is very reliable in predicting preterm birth in women at risk,” said lead author Jenny Carter, MD, of the KCL department of Women & Children's Health. “This should mean that women who need treatments are offered them appropriately, and also that doctors and women can be reassured when these treatments are not needed, which reduces the possibility of negative effects and unnecessary costs for the NHS.”

Preterm birth refers to the birth of a baby of less than 37 weeks gestational age, before the developing organs are mature enough to allow normal postnatal survival. The cause for preterm birth is in many situations elusive and unknown; many factors appear to be associated with the development of preterm birth, making the reduction of preterm birth a challenging proposition. Premature infants are at greater risk for short and long term complications, including disabilities and impediments in growth and mental development. Preterm birth is the major cause of neonatal mortality in developed countries.

Related Links:
King’s College London

Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Vital Signs Monitor
Aurus 10

Print article

Channels

Critical Care

view channel
Image: The permeable wearable electronics developed for long-term biosignal monitoring (Photo courtesy of CityUHK)

Super Permeable Wearable Electronics Enable Long-Term Biosignal Monitoring

Wearable electronics have become integral to enhancing health and fitness by offering continuous tracking of physiological signals over extended periods. This monitoring is crucial for understanding an... Read more

Surgical Techniques

view channel
Image: NTT and Olympus have begun the world\'s first joint demonstration experiment of a cloud endoscopy system (Photo courtesy of Olympus)

Cloud Endoscopy System Enables Real-Time Image Processing on the Cloud

Endoscopes, which are flexible tubes inserted into the body's natural openings for internal examination and biopsy collection, are becoming increasingly vital in medical diagnostics. Their minimal invasiveness... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The PATHFAST hs-cTnI-II high-sensitivity troponin assay has been developed for the PATHFAST Biomarker Analyzer (Photo courtesy of Polymedco)

POC Myocardial Infarction Test Delivers Results in 17 Minutes

Chest pain is the second leading cause of emergency department (ED) visits by adults in the United States, generating over 7 million visits annually. In the event of a suspected heart attack, physicians... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.