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Reducing Particulate Matter-associated Cardiovascular Health Effects for Seniors

Reducing Particulate Matter-associated Cardiovascular Health Effects for Seniors

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04103346
Acronym
RAPIDS2-Ypsi
Enrollment
52
Registered
2019-09-25
Start date
2020-02-24
Completion date
2024-11-01
Last updated
2026-01-16

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

Conditions

Cardiometabolic Health

Brief summary

Exposure to fine particulate matter (PM2.5) air pollution is an established risk factor for cardiovascular (CV) morbidity.

Detailed description

This is a randomized double-blind placebo-controlled (sham filtration) crossover trial comparing the effectiveness bedroom-only portable indoor air filtration units \[AFUs\] to reduce personal PM2.5 exposures and improve cardiometabolic health. The health benefits (primary outcome: resting BP) will be evaluated over acute (4-day) and long-term (4-week) periods in 50 nonsmoking elderly adults living in a senior facility impacted by near-roadway pollutants. Because of COVID-19 restrictions that occurred during the trial, certain outcome measures were removed from the protocol, as they could not be performed: 24-hr Blood Pressure, Heart Rate Variability (HRV), BpTRU BP measurements, and WatchPAT. Other outcome measures were not removed from the protocol, but data could not be collected for them because of COVID restrictions.

Interventions

OTHERair filtration with air purifier with hepa filter

long-term (4 week) air filtration with the Holmes HAP8650B-NU-1 air purifier in the residence of low-income seniors impacted by roadway pollutants.

OTHERsham

air purifier running with air filter removed

Sponsors

University of Michigan
Lead SponsorOTHER
Michigan State University
CollaboratorOTHER
National Institute of Nursing Research (NINR)
CollaboratorNIH

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
PREVENTION
Masking
TRIPLE (Subject, Investigator, Outcomes Assessor)

Masking description

filtration units with or without filters. filters are placed by research assistant from the environmental college and researchers performing the health outcomes are blinded to the condition (sham or active filtration) along with the subject.

Intervention model description

crossover of active filtration in subject's residence with a home filtration unit (Holmes air filtration unit Model HAP8650B-NU-1) versus an inactive sham filtration

Eligibility

Sex/Gender
ALL
Age
60 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Nonsmoker * ≥60 years old * residing in Carpenter Place Apartments

Exclusion criteria

* Active cigarette smoker * daily secondhand smoke exposure (self-report) * any CV event (myocardial infarction, stroke, heart failure, revascularization) in the past 3 months * unstable CV condition or risk factor (uncontrolled diabetes, class 3-4 angina or heart failure) or any medical condition that would place the participant at risk from participation or jeopardize study integrity (per investigators) * expected overnight travel outside their apartment during the 14-week study period * unable to provide informed consent * lung disease requiring oxygen * renal dialysis * cancer receiving active treatment or chemotherapy * severe uncontrolled high BP ≥160/100 mm Hg or SBP\<115 mm Hg. * CV medication change in the prior month. If participants are on medications for high BP, diabetes, or a CV condition, they will need to have stable therapy during the prior month with no planned changes during the study period.

Design outcomes

Primary

MeasureTime frameDescription
Systolic Blood Pressure10 weeksSystolic blood pressure was measured twice a day, in the morning and the evening, from Tuesday through Friday during the first and fourth week of each of the four-week periods in which participants were exposed to one of the interventions. Results reflect the average of systolic readings taken.

Secondary

MeasureTime frameDescription
Diastolic Blood Pressure10 weeksDiastolic blood pressure was measured twice a day, in the morning and the evening, from Tuesday through Friday during the first and fourth week of each of the four-week periods in which participants were exposed to one of the interventions. Results reflect the average of diastolic readings taken.
Atmospheric Particulate Matter (pm2.5) - Indoor10 weeksAtmospheric particulate matter was measured daily in the units of ug/m3 and determined using a portable analyzer (PDR-1500). Results reflect the average amount of atmospheric particulate matter present per day.
Atmospheric Particulate Matter (pm2.5) - Outdoor10 weeksAtmospheric particulate matter was measured daily in units of ug/m3 and determined using a portable analyzer (PDR-1500). Results reflect the average amount of atmospheric particulate matter present per day.
24-hr Personal PM2.5 (Filter-gravimetric Mass)2 daysPM2.5 mass measured from the filters contained in the personal particulate monitors worn for 24-hours by participants performed on the last week of each cross-over limb (twice per participant in total). 24-hour data collection for personal PM2.5 exposure was collected from Thursday morning at 9 am to Friday morning at 9 am during trial week 4 and during trial week 10.
Black Carbon, Hourly Personal PM2.5 Levels10 weeksEvaluation of the effect of active vs sham filtration on lowering black carbon levels and hourly levels of PM2.5 throughout a 24-hour period.
Aortic Hemodynamics10 weeksDetermined using pulse wave analyses of the augmentation index calculated as the height of the reflected wave as a percentage of the total height of the ascending aortic pressure wave.
Insulin Sensitivity10 weeksTo determine the impact of reduced particulate matter on insulin sensitivity, determined by measuring insulin and glucose to calculate the homeostasis model assessment of insulin resistance (HOMA-IR) metric.
Adrenal Steroid Panel10 weeksPanel of hair, saliva, blood

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORRobert Brook, MD

Wayne State University

Participant flow

Pre-assignment details

17 participants withdrew from the trial prior to randomization. Of the 35 participants who were randomized, data from 2 was not included in the analyses, because of external factors that rendered the data from those participants unusable.

Participants by arm

ArmCount
Air Filtration With Hepa Filter, Then With Hepa Filter Removed
air purifier used is the Holmes HAP8650B-NU-1 with the hepa filter inserted, then with the filter removed following washout (sham comparator). air filtration with air purifier with hepa filter: long-term (4 week) air filtration with the Holmes HAP8650B-NU-1 air purifier in the residence of low-income seniors impacted by roadway pollutants. sham: air purifier running with air filter removed
21
Air Filtration Without Hepa Filter, Then With Hepa Filter
sham comparator used the Holmes HAP8650B-NU-1 air purifier to be operated without the filter, then with the hepa filter installed following washout. air filtration with air purifier with hepa filter: long-term (4 week) air filtration with the Holmes HAP8650B-NU-1 air purifier in the residence of low-income seniors impacted by roadway pollutants. sham: air purifier running with air filter removed
12
Total33

Baseline characteristics

CharacteristicAir Filtration Without Hepa Filter, Then With Hepa FilterTotalAir Filtration With Hepa Filter, Then With Hepa Filter Removed
Age, Continuous72.5 years
STANDARD_DEVIATION 8.12
74.9 years
STANDARD_DEVIATION 7.59
76.2 years
STANDARD_DEVIATION 7.11
Aspirin
No
8 Participants22 Participants14 Participants
Aspirin
Yes
4 Participants11 Participants7 Participants
Blood Pressure Medication
No
3 Participants9 Participants6 Participants
Blood Pressure Medication
Yes
9 Participants24 Participants15 Participants
Body Mass Index (BMI)30.2 kg/m2
STANDARD_DEVIATION 8.41
29.2 kg/m2
STANDARD_DEVIATION 6.99
28.7 kg/m2
STANDARD_DEVIATION 6.21
Diabetes medication
No
10 Participants22 Participants12 Participants
Diabetes medication
Yes
2 Participants11 Participants9 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
0 Participants0 Participants0 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
0 Participants0 Participants0 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
12 Participants33 Participants21 Participants
History of cerebrovascular disease
No
9 Participants29 Participants20 Participants
History of cerebrovascular disease
Yes
3 Participants4 Participants1 Participants
History of coronary artery disease
No
8 Participants23 Participants15 Participants
History of coronary artery disease
Yes
4 Participants10 Participants6 Participants
History of diabetes
No
10 Participants22 Participants12 Participants
History of diabetes
Yes
2 Participants11 Participants9 Participants
History of hyperlipidemia
No
9 Participants18 Participants9 Participants
History of hyperlipidemia
Yes
3 Participants15 Participants12 Participants
History of hypertension
No
3 Participants9 Participants6 Participants
History of hypertension
Yes
9 Participants24 Participants15 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
1 Participants6 Participants5 Participants
Race (NIH/OMB)
Black or African American
3 Participants5 Participants2 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
8 Participants22 Participants14 Participants
Region of Enrollment
United States
12 Participants33 Participants21 Participants
Sex: Female, Male
Female
7 Participants22 Participants15 Participants
Sex: Female, Male
Male
5 Participants11 Participants6 Participants
Statin
No
9 Participants18 Participants9 Participants
Statin
Yes
3 Participants15 Participants12 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 330 / 33
other
Total, other adverse events
0 / 330 / 33
serious
Total, serious adverse events
0 / 330 / 33

Outcome results

Primary

Systolic Blood Pressure

Systolic blood pressure was measured twice a day, in the morning and the evening, from Tuesday through Friday during the first and fourth week of each of the four-week periods in which participants were exposed to one of the interventions. Results reflect the average of systolic readings taken.

Time frame: 10 weeks

ArmMeasureValue (MEAN)Dispersion
Air Filtration With Hepa FilterSystolic Blood Pressure127.0 mm HgStandard Deviation 16.2
Air Filtration With Hepa Filter RemovedSystolic Blood Pressure126.5 mm HgStandard Deviation 16
p-value: 0.588Mixed Effects Model
Secondary

24-hr Personal PM2.5 (Filter-gravimetric Mass)

PM2.5 mass measured from the filters contained in the personal particulate monitors worn for 24-hours by participants performed on the last week of each cross-over limb (twice per participant in total). 24-hour data collection for personal PM2.5 exposure was collected from Thursday morning at 9 am to Friday morning at 9 am during trial week 4 and during trial week 10.

Time frame: 2 days

ArmMeasureValue (MEAN)Dispersion
Air Filtration With Hepa Filter24-hr Personal PM2.5 (Filter-gravimetric Mass)5.1 µg/m3 per 24-hour periodStandard Deviation 4.6
Air Filtration With Hepa Filter Removed24-hr Personal PM2.5 (Filter-gravimetric Mass)12.4 µg/m3 per 24-hour periodStandard Deviation 15.6
p-value: <0.001Mixed Effects Model
Secondary

Adrenal Steroid Panel

Panel of hair, saliva, blood

Time frame: 10 weeks

Population: This outcome was not performed because of COVID-19 restrictions in place during the trial, and no data for this outcome will be collected.

Secondary

Aortic Hemodynamics

Determined using pulse wave analyses of the augmentation index calculated as the height of the reflected wave as a percentage of the total height of the ascending aortic pressure wave.

Time frame: 10 weeks

Population: This outcome was not performed because of COVID-19 restrictions in place during the trial, and no data for this outcome will be collected.

Secondary

Atmospheric Particulate Matter (pm2.5) - Indoor

Atmospheric particulate matter was measured daily in the units of ug/m3 and determined using a portable analyzer (PDR-1500). Results reflect the average amount of atmospheric particulate matter present per day.

Time frame: 10 weeks

ArmMeasureValue (MEAN)Dispersion
Air Filtration With Hepa FilterAtmospheric Particulate Matter (pm2.5) - Indoor1.3 (µg/m3) per dayStandard Deviation 1.5
Air Filtration With Hepa Filter RemovedAtmospheric Particulate Matter (pm2.5) - Indoor8.3 (µg/m3) per dayStandard Deviation 12.8
p-value: <0.001Mixed Effects Model
Secondary

Atmospheric Particulate Matter (pm2.5) - Outdoor

Atmospheric particulate matter was measured daily in units of ug/m3 and determined using a portable analyzer (PDR-1500). Results reflect the average amount of atmospheric particulate matter present per day.

Time frame: 10 weeks

ArmMeasureValue (MEAN)Dispersion
Air Filtration With Hepa FilterAtmospheric Particulate Matter (pm2.5) - Outdoor10.3 (µg/m3) per dayStandard Deviation 5.8
Air Filtration With Hepa Filter RemovedAtmospheric Particulate Matter (pm2.5) - Outdoor8.9 (µg/m3) per dayStandard Deviation 2.3
p-value: 0.0764Mixed Effects Model
Secondary

Black Carbon, Hourly Personal PM2.5 Levels

Evaluation of the effect of active vs sham filtration on lowering black carbon levels and hourly levels of PM2.5 throughout a 24-hour period.

Time frame: 10 weeks

Population: This outcome was not performed because of COVID-19 restrictions in place during the trial, and no data for this outcome will be collected.

Secondary

Diastolic Blood Pressure

Diastolic blood pressure was measured twice a day, in the morning and the evening, from Tuesday through Friday during the first and fourth week of each of the four-week periods in which participants were exposed to one of the interventions. Results reflect the average of diastolic readings taken.

Time frame: 10 weeks

ArmMeasureValue (MEAN)Dispersion
Air Filtration With Hepa FilterDiastolic Blood Pressure75.1 mm HgStandard Deviation 10.6
Air Filtration With Hepa Filter RemovedDiastolic Blood Pressure75.3 mm HgStandard Deviation 10.4
p-value: 0.748Mixed Effects Model
Secondary

Insulin Sensitivity

To determine the impact of reduced particulate matter on insulin sensitivity, determined by measuring insulin and glucose to calculate the homeostasis model assessment of insulin resistance (HOMA-IR) metric.

Time frame: 10 weeks

Population: This outcome was not performed because of COVID-19 restrictions in place during the trial, and no data for this outcome will be collected.

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026