← Back to Clinical Trials
Recruiting NCT07003399

NCT07003399 Diaphragmatic Function and Respiratory Drive in OSA and COPD

◆ AI Clinical Summary
Plain-language summary for patients
Clinical Trial Summary
NCT ID NCT07003399
Status Recruiting
Phase
Sponsor Nanjing Medical University
Condition Obstructive Sleep Apnea
Study Type OBSERVATIONAL
Enrollment 80 participants
Start Date 2025-01-01
Primary Completion 2025-08-31

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age 80 Years
Study Type OBSERVATIONAL
Interventions
Diaphragmatic Ultrasound and EMG Assessment

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 80 participants in total. It began in 2025-01-01 with a primary completion date of 2025-08-31.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

This cross-sectional observational study aims to assess the diaphragmatic morphofunction and respiratory drive characteristics among patients with obstructive sleep apnea (OSA), chronic obstructive pulmonary disease (COPD), overlap syndrome (OS), and healthy controls. Using ultrasound imaging and surface diaphragm electromyography (EMGdi), the study will explore group differences in diaphragmatic morphology, function, and respiratory drive indicators, and evaluate their clinical significance in disease differentiation and severity assessment.

Eligibility Criteria

Inclusion Criteria: 1. Patients aged between 18 and 80 years. 2. For OSA Group: Diagnosed obstructive sleep apnea with AHI ≥ 5 events/hour based on overnight polysomnography. 3. For COPD Group: Diagnosed chronic obstructive pulmonary disease based on GOLD guidelines. 4. For Overlap Group: Diagnosed both OSA (AHI ≥ 5) and COPD. 5. For Control Group: Healthy volunteers with no known respiratory diseases or sleep disorders. 6. Ability and willingness to provide informed consent for participation in the study. Exclusion Criteria: 1. Severe cardiovascular diseases (e.g., unstable angina, heart failure NYHA III/IV). 2. Severe hepatic or renal insufficiency. 3. Neuromuscular diseases affecting respiratory muscles. 4. Recent upper airway or thoracic surgery (within 3 months). 5. Pregnancy or breastfeeding. 6. Participants who cannot complete assessments due to cognitive impairment or poor cooperation.

Contact & Investigator

Central Contact

Ding Ning, doctor

✉ dr.ningding@live.cn

📞 86-25-68136723

Frequently Asked Questions

Who can join the NCT07003399 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, up to 80 Years, studying Obstructive Sleep Apnea. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07003399 currently recruiting?

Yes, NCT07003399 is actively recruiting participants. Contact the research team at dr.ningding@live.cn for enrollment information.

Where is the NCT07003399 trial being conducted?

This trial is being conducted at Nanjing, China.

Who is sponsoring the NCT07003399 clinical trial?

NCT07003399 is sponsored by Nanjing Medical University. The trial plans to enroll 80 participants.

Related Trials

ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology