Anika Yesmin
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Anika Yesmin has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- Cheryce L. Harrison
Monash Centre for Health Research and Implementation, Sub-Faculty of Clinical and Molecular Medicine, Monash University, Clayton, Australia
1 shared publication - Clare Elizabeth Collins
The University of Newcastle
1 shared publication - Drishti Ghelani
Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, VIC 3168, Australia
1 shared publication - Eleanor P. Thong
Department of Diabetes & Endocrinology Monash Health Clayton Australia
1 shared publication - Helena Jane Teede
Monash University
1 shared publication - Joanne Enticott
Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences Monash University Melbourne Australia
1 shared publication
Latest Publications
- Open Access
- 10 February 2022
- Published by MDPI AG in Journal of Cardiovascular Development and Disease
- Vol. 9 (2) , 55
Optimising Cardiometabolic Risk Factors in Pregnancy: A Review of Risk Prediction Models Targeting Gestational Diabetes and Hypertensive Disorders
Cardiovascular disease, especially coronary heart disease and cerebrovascular disease, is a leading cause of mortality and morbidity in women globally. The development of cardiometabolic conditions in pregnancy, such as gestational diabetes mellitus and hypertensive disorders of pregnancy, portend an increased risk of future cardiovascular disease in women. Pregnancy therefore represents a unique opportunity to detect and manage risk factors, prior to the development of cardiovascular sequelae. Risk prediction models for gestational diabetes mellitus and hypertensive disorders of pregnancy can help identify at-risk women in early pregnancy, allowing timely intervention to mitigate both short- and long-term adverse outcomes. In this narrative review, we outline the shared pathophysiological pathways for gestational diabetes mellitus and hypertensive disorders of pregnancy, summarise contemporary risk prediction models and candidate predictors for these conditions, and discuss the utility of these models in clinical application.
- 10 February 2022
- Published by MDPI AG in Journal of Cardiovascular Development and Disease
- Vol. 9 (2) , 55
Open AccessOptimising Cardiometabolic Risk Factors in Pregnancy: A Review of Risk Prediction Models Targeting Gestational Diabetes and Hypertensive Disorders
Cardiovascular disease, especially coronary heart disease and cerebrovascular disease, is a leading cause of mortality and morbidity in women globally. The development of cardiometabolic conditions in pregnancy, such as gestational diabetes mellitus and hypertensive disorders of pregnancy, portend an increased risk of future cardiovascular disease in women. Pregnancy therefore represents a unique opportunity to detect and manage risk factors, prior to the development of cardiovascular sequelae. Risk prediction models for gestational diabetes mellitus and hypertensive disorders of pregnancy can help identify at-risk women in early pregnancy, allowing timely intervention to mitigate both short- and long-term adverse outcomes. In this narrative review, we outline the shared pathophysiological pathways for gestational diabetes mellitus and hypertensive disorders of pregnancy, summarise contemporary risk prediction models and candidate predictors for these conditions, and discuss the utility of these models in clinical application.