| Unique ID issued by UMIN | UMIN000055193 |
|---|---|
| Receipt number | R000062972 |
| Scientific Title | Exploratory research to Establish the Strategy for Personalized Therapy with CPAP: Association between Patient Profile and Pressure Change Algorithm of Auto-CPAP |
| Date of disclosure of the study information | 2024/08/07 |
| Last modified on | 2025/08/08 16:58:29 |
Exploratory research to Establish the Strategy for Personalized Therapy with CPAP: Association between Patient Profile and Pressure Change Algorithm of Auto-CPAP
Exploratory research for Personalized Therapy with CPAP
Exploratory research to Establish the Strategy for Personalized Therapy with CPAP: Association between Patient Profile and Pressure Change Algorithm of Auto-CPAP
Exploratory research for Personalized Therapy with CPAP
| Japan |
Obstructive Sleep Apnea
| Pneumology |
Others
NO
Although continuous positive airway pressure therapy (CPAP) has been established as standard therapy for obstructive sleep apnea (OSA), CPAP adherence has been reported to be unsatisfactory. We consider that one of the factors affecting CPAP adherence would be differences in pressure change algorithms between CPAP manufacturing companies. However, none has done the study focused on this issue. Assumably, prescribing appropriate CPAP to the patient according to the patient's preference improves CPAP adherence. Thus, in the current study, we evaluate the associations between patient preference for the pressure change algorithm and treatment efficacy and patient profile to prove the importance of individuality in choosing CPAP devices utilizing a new CPAP device which equips three automatic pressure change algorithms. Then our goal would be personalized therapy with CPAP for patients with OSA.
Efficacy
1. Patients preference for three automatic pressure change algorithms
2. Identified Cluster reflecting the patient profile. Clustering is performed using the patient characteristics, symptoms, and polysomnographic parameters.
The association between the above two factors will be evaluated.
1. CPAP adherence and treatment efficacy with each pressure change algorithm. Data is obtained from a CPAP memory card.
2. As for the patients who changed new CPAP from the one they used before they enrolled in this study, the association between patient preference for the pressure change algorithm and previously used CPAP device will be investigated.
Interventional
Cross-over
Randomized
Individual
Single blind -participants are blinded
Dose comparison
NO
NO
Institution is considered as a block.
YES
Numbered container method
2
Treatment
| Other |
The patient uses each mode among three automatic pressure change algorithms for every two weeks, which are soft, normal, and hard modes.
We adopted two orders as follows:
Pattern A. Soft -> Normal -> Hard
Pattern B. Hard -> Normal -> Soft
The order will be randomly assigned and blinded to the patient.
The patient uses each mode among three automatic pressure change algorithms for every two weeks, which are soft, normal, and hard modes.
We adopted two orders as follows:
Pattern A. Soft -> Normal -> Hard
Pattern B. Hard -> Normal -> Soft
The order will be randomly assigned and blinded to the patient.
| 20 | years-old | <= |
| Not applicable |
Male and Female
1. Patients who are newly diagnosed with OSA and satisfy the eligibility for CPAP therapy.
2. Among patients who are already treated with CPAP, patients who present poor CPAP adherence or are not happy with the CPAP device.
1. Patients with cardiovascular diseases such as stroke, heart failure, ischemic heart disease, and arrhythmia including atrial fibrillation which may cause central sleep apnea with Cheyne-Stokes breathing.
2. Patients with severe COPD and neuromuscular diseases which might cause sleep-related hypoventilation.
3. Patients with uncontrollable other sleep-related disorders including insomnia, hypersomnia, parasomnia, and sleep-related movement disorder.
120
| 1st name | Motoo |
| Middle name | |
| Last name | Yamauchi |
Nara Medical University
Department of Clinical Pathophysiology of Nursing / Department of Respiratory Medicine
634-8522
840 Shijo-cho, Kashihara, Nara 634-8522, Japan
0744-22-3051
motoo@naramed-u.ac.jp
| 1st name | Motoo |
| Middle name | |
| Last name | Yamauchi |
Nara Medical University
Department of Clinical Pathophysiology of Nursing / Department of Respiratory Medicine
634-8522
840 Shijo-cho, Kashihara, Nara 634-8522, Japan
0744-22-3051
motoo@naramed-u.ac.jp
Nara Medical University
Murata Manufacturing Co., Ltd.
Profit organization
The Ethical Committee of Nara Medical University
840 Shijo-cho, Kashihara, Nara 634-8522, Japan
0744-22-3051
ino_rinri@naramed-u.ac.jp
NO
岩手医科大学附属病院(岩手県)、霧ヶ丘つだ病院(福岡県)、くわみず病院(熊本県)、かごしま高岡病院(鹿児島県)、RESM新横浜睡眠・呼吸メディカルケアクリニック(神奈川県)
| 2024 | Year | 08 | Month | 07 | Day |
Unpublished
Enrolling by invitation
| 2024 | Year | 07 | Month | 26 | Day |
| 2024 | Year | 07 | Month | 26 | Day |
| 2024 | Year | 08 | Month | 26 | Day |
| 2026 | Year | 03 | Month | 31 | Day |
| 2024 | Year | 08 | Month | 07 | Day |
| 2025 | Year | 08 | Month | 08 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000062972