Obstructive Sleep Apnea Clinical Trial
Official title:
Effects of an Early Combination of Automated Electronic and Telemedical Support on the Therapeutic Results of CPAP and APAP Patients and as a Supplement to (Tele-) Medical Care
NCT number | NCT05440279 |
Other study ID # | 2947 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | February 19, 2019 |
Est. completion date | March 31, 2022 |
Verified date | June 2022 |
Source | Facharztzentrum Sonneberg-Coburg uBAG |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Obstructive sleep apnea (OSA) is a type of sleep-related breathing disorders that is characterized by a sleep-related constriction (obstruction) of the upper airways. The treatment with continuous application of positive airway pressure (CPAP) via respiratory mask forms the therapeutical standard of OSA. The autoCPAP (automatic positive airway pressure: APAP) therapy is an additional treatment option for patients with more unstable conditions (e.g. due to sleep position) which is characterized by a dynamic adaption of the applied airway pressure according to patients therapeutical needs. Device usage time and therapy adherence are crucial for treatment success. The purpose of this study is to assess the effect of a digital patient support (DPS) tool, complementary to standard care on continuous and automatic positive airway pressure (CPAP, APAP) adherence and daytime sleepiness after 12 weeks in patients diagnosed with severe obstructive sleep apnea (OSA). All patients with apnea-hypopnea index (AHI) ≥ 30 per hour are prospectively included and randomized to receive standard care (SC) or standard care with personalized DPS via prisma APP prototype version (SC+DPS). In both arms, initiation of therapy and standardized therapy control after 12 weeks is carried out identically. Patients in the SC+DPS arm received additionally automated feedback on their therapy and motivational messages, as well as therapy recommendations.
Status | Completed |
Enrollment | 100 |
Est. completion date | March 31, 2022 |
Est. primary completion date | November 3, 2021 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 80 Years |
Eligibility | Inclusion Criteria: - age 18-80 years - CPAP-naïve - confirmed severe OSA (AHI >30/h), diagnosis based on polysomnography (PSG) (MiniScreen PRO with Software MiniscreenViewer, Dr. Fenyves & Gut, Rangendingen, Germany) - written informed consent to participate in the study, including a data protection statement. Exclusion Criteria: - presence of a contraindication to PAP therapy - participation in another study influencing automated electronic support - lack of possibility to receive emails or use electronic means of communication - lack of patient consent. |
Country | Name | City | State |
---|---|---|---|
Germany | Facharztzentrum Coburg Sonneberg | Sonneberg | Thüringen |
Lead Sponsor | Collaborator |
---|---|
Facharztzentrum Sonneberg-Coburg uBAG | Heinen und Löwenstein GmbH & Co. KG |
Germany,
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Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Daytime sleepiness (ESS Score) | Significant change in daytime sleepiness of CPAP/ APAP patients with standard care plus support of a digital patient support (DPS) tool versus patients with standard care without support of a digital patient support (DPS) tool from baseline at therapy control after 12 weeks | Baseline and after 12 weeks (Diagnosis/ baseline to therapy control) | |
Secondary | Therapy adherence | evaluated by average device usage time in minutes per day and percentual amount of days with an average usage time > 4 hours | Within 12 weeks (period between diagnosis/ baseline to therapy control) | |
Secondary | Therapy efficacy | evaluated by Apnea Hypopnea Index (AHI), obstructive Apnea Hypopnea Index (oAHI), central Apnea Hypopnea Index (cAHI), snoring during diagnosis, polygrahpic therapy control and therapy data stored by therapy device, as well as mask leakage and deep sleep according to therapy data stored by therapy device | Within 12 weeks (period between diagnosis/ baseline to therapy control) | |
Secondary | type and frequency of usage of device comfort features | evaluated by number of types and frequency of device comfort features usage | Within 12 weeks (period between diagnosis/ baseline to therapy control) | |
Secondary | satisfaction with therapy and care according to standardized survey | evaluated by survey scores | up to 12 weeks | |
Secondary | Investigation of progress of therapy adherence, therapy efficacy and side effects in the intervention group | evaluated by observation of the corresponding parameters during duration of study per patient | Within 12 weeks (period between diagnosis/ baseline to therapy control) | |
Secondary | Investigation of frequency of usage of the DPS (Digital Patient Support) tool in the intervention group | evaluated by frequency of DPS tool usage | Within 12 weeks (period between diagnosis/ baseline to therapy control) | |
Secondary | Investigation of type of usage of the DPS (Digital Patient Support) tool in the intervention group | evaluated by number of types of DPS tool usage | Within 12 weeks (period between diagnosis/ baseline to therapy control) | |
Secondary | Correlation between secondary variables and primary variable to investigate the impact of secondary variables on the primary outcome | evaluated by descriptive analysis of the corresponding parameters | up to 12 weeks | |
Secondary | Investigation of the drop out rate, especially impact of therapy break-off | evaltuated by number of drop outs due to therapy break-off | up to 12 weeks |
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