Prediction modelling to personalise care for gestational diabetes.

Autor: Cooray, SD, Thangaratinam, S, Teede, HJ, Cooray, S D, Teede, H J
Předmět:
Zdroj: BJOG: An International Journal of Obstetrics & Gynaecology; Mar2021, Vol. 128 Issue 4, p655-656, 2p
Abstrakt: (Sir William Osler) Gestational diabetes mellitus (GDM) is becoming increasingly common and carries risks to pregnancy and long-term maternal and offspring health. In a large prospective multicentre cohort study, van Hoorn and colleagues report that a GDM screening strategy using validated first trimester prediction models offers a higher net clinical benefit compared with single risk factor-based approaches (van Hoorn et al. I BJOG i 2021;128:645-54). Prediction models may then make Osler's art of probability more useful for the individual, the clinical team and the health system to optimise personalised care and improve health outcomes. [Extracted from the article]
Databáze: Complementary Index