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

PublicationsCirculation, 2026

Abstract 42: Opportunistic Screening versus Population-Wide for Hypertension: A Microsimulation Study

Bunmi Ogungbe, Xiao Hu, Tasfia Hussain, Binh Nguyen, A H M A D Khairul Abrar, Shamim Jubayer, S O H E L Reza Choudhury, Mahfuzur Rahman Bhuiyan, Andrew Moran, Yvonne Commodore-Mensah, Tammy Brady, Larry J. Appel, Kunihiro Matsushita, Matti Marklund

Circulation · 2026;153(Suppl_1) · doi:10.1161/cir.153.suppl_1.42

Abstract

Background. To massively scale up efforts to diagnose and treat hypertension, different screening strategies have been proposed (population-wide screening campaigns and healthcare facility-based “opportunistic” screening). However, no studies have compared their impact on cardiovascular disease (CVD) prevention in low-resource settings.

Objective. To compare hypertension treatment coverage, CVD events, and CVD deaths in Bangladesh from three different screening strategies.

Methods. We developed a discrete-time microsimulation model populated with data from the 2018 Bangladesh WHO STEPS survey. Over 10 years, hypertension diagnosis and treatment, CVD events (strokes and ischemic heart disease), and deaths were estimated for a model population (100,000 adults without hypertension diagnosis or CVD history) under 3 scenarios: (1) current practice of limited opportunistic screening in public healthcare facilities (20% of patients screened); (2) extended opportunistic screening in public healthcare facilities (80% of patients screened); and (3) one-time population-wide screening targeting 80% population coverage over 5 years. In (1) and (2), patients visiting public healthcare facilities (30% of population) could be screened multiple times over the 10 years. Ten-year CVD risk was calculated using WHO CVD prediction models recalibrated with country-specific Global Burden of Disease data.

Results. Under current practice, 22,129 adults (out of N=100,000) could be screened over 10 years and 2,002 would start treatment ( Figure, Panels A and B ); in this scenario, 12,117 CVD events and 1,548 deaths would occur. In the extended opportunistic screening scenario, 62,680 adults would be screened and 6,222 would initiate treatment. With population-wide screening, 79,482 would be screened, and treatment would begin in 3,171 adults. Compared to current practice ( Panels C and D ), extended opportunistic screening and population-wide screening could prevent 65 and 46 more CVD events, and 33 and 22 CVD deaths per 100,000 over 10 years, respectively. Among adults aged ≥40 years (40% of the total population), the estimated impact on CVD burden was doubled (e.g., 65-70 averted CVD deaths per 100,000).

Conclusion. Despite the intuitive appeal of population-wide screening, the most effective screening strategy to increase screening yield and prevent CVD events in Bangladesh and likely other low-resource settings is extended opportunistic screening in public health care facilities.

Keywords Microsimulation · Public health · Disease · Health care · Population · Burden of disease · Risk assessment · Healthcare system

Cite this paper

Bunmi Ogungbe, Xiao Hu, Tasfia Hussain, Binh Nguyen, A H M A D Khairul Abrar, Shamim Jubayer, S O H E L Reza Choudhury, Mahfuzur Rahman Bhuiyan, Andrew Moran, Yvonne Commodore-Mensah, Tammy Brady, Larry J. Appel, Kunihiro Matsushita, & Matti Marklund. (2026). Abstract 42: Opportunistic Screening versus Population-Wide for Hypertension: A Microsimulation Study.  Circulation, 153(Suppl_1). https://doi.org/10.1161/cir.153.suppl_1.42

Authors and affiliations

  1. Bunmi Ogungbe

    Johns Hopkins University

  2. Xiao Hu

    Johns Hopkins University

  3. Tasfia Hussain

    Emory University

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

    Johns Hopkins University

  5. A H M A D Khairul Abrar

    National Heart Foundation Hospital & Research Institute

  6. Shamim Jubayer

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0002-8595-1993
  7. S O H E L Reza Choudhury

    National Heart Foundation Hospital & Research Institute

  8. Mahfuzur Rahman Bhuiyan

    National Heart Foundation Hospital & Research Institute

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

    Columbia University Irving Medical Center

  10. Yvonne Commodore-Mensah

    Johns Hopkins University

  11. Tammy Brady

    Johns Hopkins University

  12. Larry J. Appel

    Johns Hopkins University

  13. Kunihiro Matsushita

    Johns Hopkins University

  14. Matti Marklund

    Johns Hopkins University

    ORCID 0000-0002-3320-796X