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Effect of CPAP on Abnormal Gastroesophageal Reflux and Lung Inflammation in IPF

Effect of Continuous Positive Airway Pressure (CPAP) on Abnormal Gastroesophageal Reflux and Lung Inflammation in Idiopathic Pulmonary Fibrosis (IPF)

Status
Terminated
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05359965
Enrollment
7
Registered
2022-05-04
Start date
2019-10-01
Completion date
2025-02-11
Last updated
2026-03-09

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

Conditions

Idiopathic Pulmonary Fibrosis, Obstructive Sleep Apnea, Gastro Esophageal Reflux

Keywords

IPF, OSA, GERD

Brief summary

This study will evaluate the effect of CPAP therapy on esophageal pH and lung inflammation in patients with idiopathic pulmonary fibrosis (IPF) and sleep apnea.

Detailed description

Participants in this study will have an overnight sleep study done while wearing a 24 hour pH monitor in the esophagus. If the participant has sleep apnea, he or she will be randomly assigned to receive either CPAP treatment or no CPAP treatment. After 4-8 weeks, the participant will have another overnight sleep study with 24 hour pH monitoring. Blood will also be collected at both time points and again after 6 months to measure biomarkers that are related to lung inflammation.

Interventions

Gentle and steady pressure (with or without supplemental oxygen) delivered to the airways of the lungs while subjects are sleeping.

Sponsors

University of Arizona
Lead SponsorOTHER
Boehringer Ingelheim
CollaboratorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
TRIPLE (Caregiver, Investigator, Outcomes Assessor)

Masking description

Study investigators and care providers will be blinded and not involved in any CPAP or no CPAP related set-up, instruction, or device troubleshooting during the course the treatment phase. Lab personnel performing biomarker analysis will only have access to subject study ID and not treatment group assignments.

Intervention model description

Subjects will be assigned to treatment groups using a 1:1 randomized block design via the randomization module in REDCap. The PI and study coordinator will be blinded to next assignment.

Eligibility

Sex/Gender
ALL
Age
50 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* confirmed diagnosis of IPF based on the 2018 IPF guidelines * high likelihood of OSA based on the STOP-BANG measure, with a score of 3 or greater * patients on nintedanib, or in whom nintedanib will be initiated prior to enrollment in the study * able to participated in 24hr pH monitoring * able to comply with CPAP treatment * able to provide written informed consent prior to any study procedures * willing to complete all study measurements and assessments in compliance with the protocol

Exclusion criteria

* interstitial lung disease caused by conditions other than IPF * severe concomitant illness limiting life expectancy (\< 1 year) * residual lung volume \> or equal to 120% of predicted * obstructive lung disease: FEV1/FVC ratio \< 0.70 * current drug or alcohol dependence * patients who are unable to tolerate nintedanib * patients who are unable to use CPAP or are unwilling to participate in the 24 hr pH probe placement * patients who were diagnosed with recent IPF exacerbation within 4 weeks of enrollment (may be rescheduled for enrollment once recovered) * patients who have had prior nasal surgery or trauma that would make pH probe placement difficult * patients on anticoagulation (aspirin is not an exclusion)

Design outcomes

Primary

MeasureTime frameDescription
Composite Biomarker Score4-8 weeksThe primary outcome will be a composite value that is a weighted average of z-scores of the biomarkers MMP1, MMP7, IL-8, KL-6, and CXCL13, weighted by the univariate effect sizes of each biomarker. MMP1, MMP7, IL-8, KL-6, and CXCL13 will be measured using enzyme linked immunosorbent assays (ELISA) for these analytes. (Z-score is a unitless number, as is the weighted average.)

Secondary

MeasureTime frameDescription
Biomarker of Lung Inflammation: KL-64-8 weeksThe value of KL-6 measured by ELISA in U/ml.
Biomarker of Lung Inflammation: MMP14-8 weeksThe value of MMP1 measured by ELISA in ng/ml.
Biomarker of Lung Inflammation: MMP74-8 weeksThe value of MMP7 measured by ELISA in ng/ml.
Biomarker of Lung Inflammation: IL-84-8 weeksThe value of IL-8 measured by ELISA in pg/ml.
Biomarker of Lung Inflammation: CXCL134-8 weeksThe value of CXCL-13 measured by ELISA in pg/ml.
Esophageal pH During Sleep4-8 weeksTotal sleep time (in minutes) with pH less than 4.
24hr-Esophageal pH4-8 weeksTotal time (minutes in 24hr period) with pH less than 4.
FVC change6 monthsFVC change in percentage of predicted values over 6 months (baseline to 6 months).
Composite Biomarker Score at Six Months6 monthsWeighted average of z-scores of the biomarkers MMP1, MMP7, IL8, KL-6, and CXCL13, weighted by the univariate effect sizes of each biomarker at six months. (Z-score is a unitless number, as is the weighted average.)

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORSachin Chaudhary, MD

University of Arizona

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 10, 2026