Skip to content

Using Indoor Air Filtration to Slow Atherothrombosis Progression in Adults With Ischemic Heart Disease History

Slowing Atherothrombosis Progression Through Indoor Air Filtration: A Crossover Trial in Hispanic and Non-Hispanic Adults With Ischemic Heart Disease History

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05867381
Acronym
SAPIA
Enrollment
112
Registered
2023-05-22
Start date
2023-07-11
Completion date
2028-06-30
Last updated
2026-06-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Air Pollution, Atherosclerosis

Keywords

Air pollution, Particulate matter, Air purifier, HEPA filter, Atherosclerosis, Ischemic Heart Disease, Thrombosis, Cardiovascular Disease

Brief summary

This double-blind, randomized, crossover trial aims to test the hypothesis that longer-term indoor air filtration intervention can slow atherothrombosis progression by reducing indoor fine particulate matter (PM2.5) exposure in adults with ischemic heart disease history.

Detailed description

This double-blind, randomized, crossover trial will recruit 112 adults with ischemic heart disease history and will investigate potential benefits of indoor high efficiency particulate air (HEPA) filtration on ameliorating the progression of atherothrombosis. Participants will be contacted and recruited to the study based on inclusion and exclusion criteria. After consenting, participants will go through a total of 21-month study period comprised of true HEPA filtration and sham filtration, each of 9-month in duration, and a 3-month wash-out period. After 3-month wash-out period, participants will be switched to the other arm of the intervention. During the trial, project specialists will complete a series of home visits before, in the middle, and after each intervention session to set up air purifiers and indoor and outdoor air pollution monitors, as well as conduct interview to collect questionnaire data, measure vascular function, blood pressure, and collect biospecimens. Participants will self-monitor their daily blood pressure through out the intervention periods. In aim 1, researchers will assess the effect of a 9-month residential HEPA intervention on atherothrombosis progression in 112 participants. In aim 2, the researchers will examine the association between reduction in indoor PM2.5 exposure brought by the intervention and the changes in atherothrombosis progression indicators adjusting for outdoor PM2.5 exposure. In aim 3, researchers will examine atherothrombosis responses (both levels and slopes of change) to the HEPA intervention within four subgroups of participants: 1) non-Hispanics, 2) Hispanics, 3) females, and 4) males.

Interventions

HEPA filters with the capacity to reduce PM2.5 levels

Sham filtration use the same appearance of air purifier but with HEPA filter removed.

Sponsors

University of Southern California
Lead SponsorOTHER
Duke University
CollaboratorOTHER
National Institute of Environmental Health Sciences (NIEHS)
CollaboratorNIH

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
PREVENTION
Masking
DOUBLE (Subject, Investigator)

Masking description

A sham filter will be used in the control, to replace HEPA filter in the intervention group. Participants and investigators will be blinded to the intervention type, only investigators who will prepare air filters for intervention will be unblinded for the real air filter type.

Eligibility

Sex/Gender
ALL
Age
65 Years to 84 Years
Healthy volunteers
No

Inclusion criteria

* Age between 65 and 84 years old; * Weight ≥ 110 pounds; * Nonsmokers for at least 1 year; * Have ischemic heart disease history, clinically stable for 6 months, without any deterioration in symptoms or episodes of angina based on past electronic medical records; * Both English and Spanish speaking participants will be included in the recruitment; * Live in the Los Angeles County.

Exclusion criteria

* Have history of degenerative disease of the nervous system such as dementia and Alzheimer's; * Currently have active cancer treatments; * The residential house has already had HEPA filters; * Participants will move out from the current residential address in the next 2 years; * Participants will spend more than 1 month living outside the primary home; * Have any health conditions that prohibit collecting health and covariate data and biospecimens; * Participants' residential houses are not feasible for setting up air purifiers and air pollutants monitors.

Design outcomes

Primary

MeasureTime frameDescription
Change in blood pressureBlood pressure will be monitored daily during each of the 9-month interventionDifferences between baseline and systolic and diastolic blood pressure measured during and after intervention
Change in carotid-femoral pulse wave velocityAt the baseline, in the middle (4.5 month after intervention) and immediately after each of the 9-month interventionsDifferences between baseline and carotid-femoral pulse wave velocity measured with Vicorder device during and after intervention
Change in augmentation indexAt the baseline, in the middle (4.5 month after intervention) and immediately after each of the 9-month interventionsDifferences between baseline and augmentation index measured with Vicorder device during and after intervention
Change in von Willebrand factorAt the baseline, in the middle (4.5 month after intervention) and immediately after each of the 9-month interventionsDifferences between baseline and von Willebrand factor measured during and after intervention
Change in P-selectinAt the baseline, in the middle (4.5 month after intervention) and immediately after each of the 9-month interventionsDifferences between baseline and P-selectin measured during and after intervention

Secondary

MeasureTime frameDescription
Change in fasting glucoseAt the baseline, in the middle (4.5 month after intervention) and immediately after each of the 9-month interventionsDifferences between baseline and fasting glucose measured during and after intervention
Change in fasting insulinAt the baseline, in the middle (4.5 month after intervention) and immediately after each of the 9-month interventionsDifferences between baseline and fasting insulin measured during and after intervention
Changes in lipid profilesAt the baseline, in the middle (4.5 month after intervention) and immediately after each of the 9-month interventionsDifferences between baseline and low-density lipoprotein, high-density lipoprotein, very-low-density lipoprotein, triglycerides, and total cholesterol levels measured during and after intervention
Change in C-reactive proteinAt the baseline, in the middle (4.5 month after intervention) and immediately after each of the 9-month interventionsDifferences between baseline and C-reactive protein measured during and after intervention
Change in interleukin 6At the baseline, in the middle (4.5 month after intervention) and immediately after each of the 9-month interventionsDifferences between baseline and interleukin 6 measured during and after intervention
Changes in 384 kinds of targeted cardiovascular disease-related proteomic markersAt the baseline, in the middle (4.5 month after intervention) and immediately after each of the 9-month interventionsDifferences between baseline and the relative abundance of 384 kinds of targeted cardiovascular disease-related proteomic markers, such as tumor necrosis factor, E-selectin, intercellular adhesion molecule 1, vascular cell adhesion molecule 1, and leptin, measured with Olink's Explore 384 cardiometabolic panel 1 during and after intervention. The Olink kit is a relative quantification assay and there are no units for the measurements.

Countries

United States

Contacts

CONTACTZhanghua Chen, PhD
zhanghuc@usc.edu323-442-2109
CONTACTJunfeng Zhang, PhD
junfeng.zhang@duke.edu919-681-7782
PRINCIPAL_INVESTIGATORZhanghua Chen, PhD

University of Southern California

PRINCIPAL_INVESTIGATORJunfeng Zhang, PhD

Duke University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 9, 2026