National Heart Foundation Hospital & Research InstituteDept. of Epidemiology and Research

PublicationsCirculation, 2025

Abstract P2037: Impact of Extended Opportunistic Hypertension Screening on Cardiovascular Disease Outcomes: A Simulation Study

Bunmi Ogungbe, Xiao Hu, Tasfia Hussain, Binh Huy Nguyen, Ahmad Khairul Abrar, Shamim Jubayer, Sohel Reza Choudhury, Mahfuzur Rahman Bhuiyan, Andrew E. Moran, Yvonne Commodore-Mensah, Tammy M. Brady, Lawrence J. Appel, Kuni Matsushita, Matti Marklund

Circulation · 2025;151(Suppl_1) · doi:10.1161/cir.151.suppl_1.p2037

Abstract

Background. Hypertension (HTN) is a major risk factor for cardiovascular diseases (CVD). The World Health Organization recommends opportunistic screening, defined as measuring blood pressure (BP) during routine healthcare visits even for unrelated reasons. However, implementation of this approach remains suboptimal, and the impact of extending such screening is unknown.

Objective. To estimate the impact of extending opportunistic HTN screening in public healthcare facilities in Bangladesh from 20% to 80% of eligible adults on CVD outcomes.

Methods. Using a two-stage modelling framework, we estimated the impact of extending opportunistic screening from 20% (current) to 80%(goal) among adults (age > 25) without HTN treatment. First, we simulated the intervention effect on systolic BP (SBP), using a microsimulation model. Next, we incorporated the SBP effect in a state-transition model to estimate the 10-year impact on incident CVD events and deaths, assuming SBP effects were maintained over 10 years. Key model inputs were derived from clinical trials, the 2018 WHO STEPS survey, and the 2019 Global Burden of Disease Study.

Results. Extended screening was estimated to increase HTN treatment coverage and prevent incident CVD events in the model population ( Figure ). Extending opportunistic screening from 20% to 80% could increase the number of people screened from 149,925 to 599,685/million (Panel A), and an additional 15,417/million more persons will be diagnosed and started on treatment (an increase from 16,857 to 32,274/million). Over 10 years, the extended screening could avert ~1,900 incident CVD events and ~340 averted CVD deaths, per 1 million eligible population (Panel B).

Conclusions. Extending opportunistic HTN screening with subsequent treatment could substantially reduce CVD burden among adults with untreated HTN in Bangladesh. Understanding the costs related to screening and treatment requires further investigation.

Keywords Medicine · Disease · Atherosclerotic cardiovascular disease · Intensive care medicine · Cardiology · Internal medicine

Cite this paper

Bunmi Ogungbe, Xiao Hu, Tasfia Hussain, Binh Huy Nguyen, Ahmad Khairul Abrar, Shamim Jubayer, Sohel Reza Choudhury, Mahfuzur Rahman Bhuiyan, Andrew E. Moran, Yvonne Commodore-Mensah, Tammy M. Brady, Lawrence J. Appel, Kuni Matsushita, & Matti Marklund. (2025). Abstract P2037: Impact of Extended Opportunistic Hypertension Screening on Cardiovascular Disease Outcomes: A Simulation Study.  Circulation, 151(Suppl_1). https://doi.org/10.1161/cir.151.suppl_1.p2037

Authors and affiliations

  1. Bunmi Ogungbe

    Johns Hopkins University

  2. Xiao Hu

    Johns Hopkins University

    ORCID 0000-0002-1515-1042
  3. Tasfia Hussain

    Johns Hopkins University

    ORCID 0000-0003-3807-6644
  4. Binh Huy Nguyen

    Johns Hopkins University

  5. Ahmad Khairul Abrar

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0002-7122-4576
  6. Shamim Jubayer

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0002-8595-1993
  7. Sohel Reza Choudhury

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0002-7498-4634
  8. Mahfuzur Rahman Bhuiyan

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0001-6962-7264
  9. Andrew E. Moran

    Columbia University Irving Medical Center

    ORCID 0000-0003-3554-0085
  10. Yvonne Commodore-Mensah

    Johns Hopkins University

  11. Tammy M. Brady

    Johns Hopkins University

    ORCID 0000-0002-1315-6747
  12. Lawrence J. Appel

    Johns Hopkins University

    ORCID 0000-0002-0673-6823
  13. Kuni Matsushita

    Johns Hopkins University

  14. Matti Marklund

    Johns Hopkins University

    ORCID 0000-0002-3320-796X