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. Author manuscript; available in PMC: 2021 Dec 15.
Published in final edited form as: J Am Coll Cardiol. 2020 Dec 15;76(24):2878–2894. doi: 10.1016/j.jacc.2020.10.020

TABLE 2.

Design Considerations for a Future Intervention Trial to Reduce the Cardiovascular Effects of PM2.5

Trial Characteristic Design Considerations
Population
  • Most germane population
    • High-risk patients with ischemic cardiovascular disease (coronary artery disease, stroke, PAD)
  • Other potential populations (as separate trials or as subpopulations of above cohort)
    • Heart failure with preserved or reduced ejection fraction
    • Patients enriched with risk enhancers such as diabetes mellitus/metabolic syndrome
    • Patients with COPD
Sample size
  • Feasibility of a large trial (n >10,000) ofair filtration on CVD outcomes needs further assessment.

  • Performing smaller (n ≈ 800 to 1,000) trials assessing surrogate endpoints to inform the design of an outcome trial may be helpful.

Exposure levels
  • Conducted in regions of United States with higher levels of PM2.5 exposures (domestic focus)

  • Focus on U.S. areas of high-exposure enriched for socioeconomic disparities in participants

  • Exposure-response curve indicates health benefits with reductions from moderate to lower exposure levels

  • Trials in heavily-polluted regions (e.g., China, India) could be considered at a later time or be the focus of other agencies

Duration
  • Determined by population and outcomes (above).

  • Cardiovascular outcome trial would require long period of intervention and follow-up to determine effect of intervention on outcomes

  • Trial of intermediate outcomes (e.g., relevant biomarkers, risk factors) feasible in more limited time frame; ideal duration dependent on intermediate outcomes selected.

Outcomes
  • Assessing “hard” clinical CVD outcomes (e.g., composite endpoint) would be the ultimate goal

  • Possible initial or vanguard trials could focus on surrogate endpoints or biomarkers including:
    • Cardiometabolic biomarkers in high-risk population (e.g., hs-CRP, hs-troponin, HbA1c%)
    • Cardiovascular risk factors (e.g., blood pressure, LDL-C, eGFR)
    • Patient-centered outcomes (adherence, usability, feasibility, health status)
Other design issues
  • Adaptive design with planned evaluation and revision of enrollment and biomarker parameters

  • Pragmatic design for use of air filtration

  • Necessity of patient-centered endpoints in trial design (adherence, usability, feasibility)

COPD = chronic obstructive pulmonary disease; CVD = cardiovascular disease; eGFR = estimated glomerular filtration rate; HbA1c% = HemoglobinA1c; hs-CRP = high-sensitivity c-reactive protein; hs-troponin = high-sensitivity troponin; LDL-C = low-density lipoprotein-cholesterol; PAD = peripheral artery disease; PM2.5 = fine particulate matter.