Disease burden of cardiovascular conditions complicating pregnancy in Sri Lanka: a protocol

Ayesh Hettiarachchi1, Niroshan Lokunarangoda2, Thilini Agampodi1

  • 1Department of Community Medicine, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Saliyapura, Anuradhapura, 5008, Sri Lanka.

F1000Research
|March 20, 2024
PubMed

Insights

Cardiovascular diseases (CVD) are a major cause of maternal deaths. This study in Sri Lanka aims to assess CVD burden in pregnancy and develop a risk model to improve maternal health outcomes.

Area of Science:

  • Cardiology
  • Maternal Health
  • Public Health

Background:

  • Cardiovascular diseases (CVD) are a leading indirect cause of maternal mortality globally.
  • In Sri Lanka, CVD is the second leading cause of maternal death, with current screening limited to clinical assessment.
  • A lack of evidence-based guidelines may lead to underestimation of the CVD burden in pregnant populations.

Purpose of the Study:

  • To determine the prevalence of cardiovascular disease in early pregnancy in Sri Lanka.
  • To develop a risk prediction model for CVD in pregnancy suitable for field clinics.
  • To reduce the impact of cardiovascular disease on maternal health in Sri Lanka.

Main Methods:

  • A prospective cohort study was conducted in Sri Lanka's Anuradhapura district.
  • Pregnant women underwent risk assessment via history and clinical examination, with referrals for echocardiograms as needed.
  • Participants were followed throughout pregnancy, with data on antenatal admissions and postpartum morbidities collected.

Main Results:

  • This study represents the largest investigation of its kind in the local context.
  • Findings will provide crucial data on the burden of CVD in pregnant women in Sri Lanka.
  • The developed risk prediction model will aid in early identification and management of CVD.

Conclusions:

  • The study will inform the development of national guidelines for managing CVD in pregnancy.
  • Implementing the risk prediction model can significantly reduce maternal morbidity and mortality due to CVD.
  • This research is vital for improving cardiovascular care in pregnant women in Sri Lanka.
Abstract

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