Title:
Development of a prediction model for hypertensive disorders of pregnancy in a Ghanaian cohort
Authors:
Shylendrakumar, Shreyanka
Place:
Amsterdam, the Netherlands
Publisher:
KIT - Royal Tropical Institute [etc.]
Year:
2020
PAGE:
v, 43
Language:
En
Subject:
Maternal Health – Lessons Learned
Keywords:
Hypertensive disorders of pregnancy, Ghana, prediction model, logistic regression, risk factors.
Abstract:
Hypertensive disorders of pregnancy (HDP) are a public health concern worldwide affecting about 10% of women globally. Nearly one-tenth of all maternal deaths in Africa and Asia are due to HDP. In Ghana, HDP is the third leading cause of maternal deaths accounting to 9% of the total deaths, after hemorrhage and abortion. Since the prognosis of HDP is dependent on the severity of the disease process, early recognition and early management of HDP is essential to reduce the mortality and morbidity rates caused by HDP which is facilitated by prediction models. The objective of this study was to develop and internally validate a multivariable logistic regression model that identifies the women at risk for HDP in Ghana by identifying the risk factors.
Organization:
KIT - Royal Tropical Institute , VU - Vrije Universiteit Amsterdam
Institute:
KIT (Royal Tropical Institute)
Country:
India
Region:
South Asia
Training:
Master in International Health (MIH)
Category:
Research
Right:
© 2020 Shylendrakumar
Document type:
Thesis/dissertation
File:
44CyBcGYc5_20201103132704348.pdf