Actively Recruiting

Age: 18Years +
All Genders
ID07376343

Comparative Study of CPAP Predictive Equations and In-laboratory Manual Titration in Thai Patients With Obstructive Sleep Apnea

Led by Thammasat University · Updated on 2026-04-17

150

Participants Needed

2

Research Sites

8 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are evaluating different predictive equations used to estimate the best continuous positive airway pressure (CPAP) settings for patients with obstructive sleep apnea (OSA) in Thailand. This observational study compares these CPAP predictive equations with the traditional in-laboratory manual titration method to find which equation most accurately predicts the optimal CPAP pressure. The study involves adult participants suspected of having OSA who will undergo detailed sleep assessments. Participants will take part in an in-laboratory sleep study using Type 1 polysomnography performed at the Sleep Center of Thammasat University. During the sleep study, sleep technicians will apply various CPAP predictive equations based on previous reliable research to estimate the ideal CPAP pressure needed to manage OSA. This approach will be compared directly with manual CPAP titration conducted in the lab. Throughout the study, participants will undergo sleep testing and monitoring to evaluate the accuracy of the CPAP pressure predictions. Researchers will measure how well the predictive equations match the optimal pressure determined by manual titration at baseline. Participants will be closely observed during the sleep study to gather data on their sleep patterns and breathing. The total participation time corresponds to the duration of the in-laboratory sleep study session.

CONDITIONS

Brief Title

Comparative Study of CPAP Predictive Equations and In-laboratory Manual Titration in Thai Patients With Obstructive Sleep Apnea

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Suspected obstructive sleep apnea (OSA)
  • Scheduled to undergo an in-laboratory sleep study
  • Aged 18 years or older
Not Eligible

You will not qualify if you...

  • No indication for in-laboratory manual CPAP titration
  • Unable to determine optimal CPAP pressure during manual CPAP titration

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Diagnostic Evaluation

Duration - 1 day

Participants undergo an in-laboratory sleep study where sleep technicians estimate optimal CPAP pressure using predictive equations and manual titration.

1 visit (in-person)

Long-term Monitoring

Duration - Up to study completion

Participants are observed to assess the accuracy of CPAP predictive equations in determining optimal pressure.

No additional visits required

Trial Site Locations

Total: 2 locations

1

Faculty of Medicine, Thammasat University

Pathum Thani, Thailand, 12120

Actively Recruiting

2

Narongkorn Saiphoklang

Pathum Thani, Thailand, 12120

Actively Recruiting

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Research Team

N

Narongkorn Saiphoklang, MD

A

Apiwat Pugongchai, MSc

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

1

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Published Research Related To This Trial

Predicting effective continuous positive airway pressure in Taiwanese patients with obstructive sleep apnea syndrome.

I-Feng Lin, Ming-Lung Chuang, Yu-Fang Liao...

https://pubmed.ncbi.nlm.nih.gov/12833183

Predicting continuous positive airway pressure from a modified split-night protocol in moderate to severe obstructive sleep apnea-hypopnea syndrome.

Ming-Lung Chuang, I-Feng Lin, Janine R E Vintch...

https://pubmed.ncbi.nlm.nih.gov/18797117

Comparison of manual versus automatic continuous positive airway pressure titration and the development of a predictive equation for therapeutic continuous positive airway pressure in Chinese patients with obstructive sleep apnoea.

Jiaying Luo, Sichang Xiao, Zhihui Qiu...

https://pubmed.ncbi.nlm.nih.gov/23145885

Should sleep laboratories have their own predictive formulas for continuous positive airway pressure for patients with obstructive sleep apnea syndrome?

Ming-Feng Wu, Jeng-Yuan Hsu, Wei-Chang Huang...

https://pubmed.ncbi.nlm.nih.gov/24731756

Determination of equation for estimating continuous positive airway pressure in patients with obstructive sleep apnea for the Indian population.

Latha Sarma, Nandan Putti, Kapil Alias...

https://pubmed.ncbi.nlm.nih.gov/32883901

Optimal positive airway pressure requirement and polysomnography indices of obstructive sleep apnea severity in the Saudi population.

Ahmad A Bamagoos, Shahad A Alshaynawi, Atheer S Gari...

https://pubmed.ncbi.nlm.nih.gov/36968331