Daytime Sleepiness in Patients With the Assessment of a Sleep-related Respiratory Disorder

June 24, 2020 updated by: Klinik für Kardiologie, Pneumologie und Angiologie, Heinrich-Heine University, Duesseldorf

Comparison Between the Situational and the Time-of-day Recording of Daytime Sleepiness in Patients With the Assessment of a Sleep-related Respiratory Disorder

It is not yet known whether an analysis of daytime sleepiness over the course of the day can predict the diagnosis or severity of sleep apnea. The goal of the study is to examine whether a psychometric determination of daytime sleepiness can adequately and practicably record daytime sleepiness in patients with mainly sleep apnea in comparison to other standardized methods.

Study Overview

Detailed Description

Detailed Description: Sleep-related respiratory disorders are a common disease in the general population. Untreated sleep apnea is associated with an increased risk of accidents, an increased risk of perioperative complications and various cardiovascular diseases such as arterial hypertension, coronary heart disease or stroke. Sleep apnea is often undetected. As part of the diagnosis of sleep apnea, screening is usually carried out to assess the probability of pre-testing before a sleep medical examination by means of anamnesis, examination and recording of risk factors and comorbidities. Questionnaires play a decisive role here. The Epworth Sleepiness Scale (ESS) or the STOP BANG questionnaires are often used for this purpose. ESS asks about the probability of falling asleep in different situations. With STOP BANG, the points daytime tiredness, snoring, breathing stops and various risk factors such as age, sex, neck circumference, high blood pressure and overweight are asked. The quality of the questionnaire used to assess the risk of sleep apnea is of crucial importance, as it is usually the basis for the decision whether or not to perform further sleep medical diagnostics. To date, there is no established, easy-to-use method for measuring daytime sleepiness during the day. However, it can be assumed that the degree of daytime sleepiness can predict the presence of sleep apnea. In a proof-of-concept study, the psychometric determination of daytime sleepiness in a time series on one day in patients with mainly sleep apnea will be measured.

The following questions should be answered:

  1. Does daytime sleepiness in patients with sleep apnea measured by a scale-based, psychometric time-series test show one or more characteristic patterns over the day?
  2. Is there a relation between the degree of the scale based psychometric time series test for daytime sleepiness and the severity of sleep apnea?
  3. Is the test quality of the scale based psychometric time series test for predicting sleep apnea better than the established Epworth Sleepiness Scale or STOP BANG questionnaires.

The quantification of daytime sleepiness can potentially be of crucial importance both for diagnostic procedures and for the assessment of the use of therapeutic measures.

Study Type

Observational

Enrollment (Anticipated)

130

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • North Rhine-Westphalia
      • Düsseldorf, North Rhine-Westphalia, Germany, 40225
        • Recruiting
        • Heinrich-Heine-University
        • Contact:
        • Contact:
        • Principal Investigator:
          • Stefanie Keymel, MD
        • Sub-Investigator:
          • Stefan Krüger, MD
        • Sub-Investigator:
          • Malte Kelm, MD
      • Neuss, North Rhine-Westphalia, Germany, 41462
        • Recruiting
        • Lung and Allergy Centre
        • Contact:
          • Johannes Uerscheln, MD
        • Sub-Investigator:
          • Johannes Uerscheln, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 80 years (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

patients with the clinical suspicion of sleep apnea and healthy subject

The healthy subjects will be recruited at the Lung and Allergy Centre, Practice for Internal Medicine, Pneumology, Allergology, Sleep and Sports Medicine Neuss in the clinical routine. The patients are from the Lung and Allergy Centre, Practice for Internal Medicine, Pneumology, Allergology, Sleep and Sports Medicine in Neuss and from the Div. of Cardiology, Pulmonary Disease and Vascular Medicine from the University Hospital Düsseldorf.

Description

Inclusion criteria for patients

  • Age 18-80 years
  • Written informed consent to participate in this study
  • Patients with a clinical suspicion of sleep apnea

Exclusion criteria for patients:

  • Age <18 years
  • Lack of consent to participate in the study
  • Lack of willingness and ability to participate in the study
  • Pregnancy and breast feeding period

Inclusion criteria for healthy subjects:

  • Age 18-45 years
  • no internal or psychiatric illness requiring therapy
  • not long-term drug therapy
  • no known sleep apnea.
  • Written consent to participate in this study

Exclusion criteria for healthy subjects:

  • Patients with sleep apnea
  • Age <18 years or ≥ 45 years
  • Lack of consent to participate in the study
  • Pregnancy and breast feeding period
  • Lack of willingness and ability to participate in the study

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
patients with a clinical suspicion of sleep apnea (n=150)
patients with a clinical suspicion of sleep apnea
Questionnaire for recording daytime sleepiness over the course of the day
Anamnesis and physical examination, e.g. medication, comorbidities, complaints
the Epworth Sleepiness Scale (ESS) questionnaire and the STOP BANG Questionnaire
The measured values of spirometry/body plethysmography, CO diffusion and blood gas analysis are documented, if available.
Polygraphy is a non-invasive portable examination method that the patient uses in the home environment at night to measure possible sleep-related breathing disorders. Typically, the following measurement signals are recorded: nasal airflow, thoracic and abdominal breathing excursions, snoring and breathing sounds via a microphone, pulse, oxygen saturation and position. The evaluation results and the findings are checked by a physician. Essential parameters include the apnoea-hypopnoea index, the number of obstructive, central and mixed apnoea/hypopnoea, the number and duration of desaturation, snoring or the association with a certain position.
healthy subjects (n=10)
healthy subjects
Questionnaire for recording daytime sleepiness over the course of the day
Anamnesis and physical examination, e.g. medication, comorbidities, complaints
the Epworth Sleepiness Scale (ESS) questionnaire and the STOP BANG Questionnaire
The measured values of spirometry/body plethysmography, CO diffusion and blood gas analysis are documented, if available.
Polygraphy is a non-invasive portable examination method that the patient uses in the home environment at night to measure possible sleep-related breathing disorders. Typically, the following measurement signals are recorded: nasal airflow, thoracic and abdominal breathing excursions, snoring and breathing sounds via a microphone, pulse, oxygen saturation and position. The evaluation results and the findings are checked by a physician. Essential parameters include the apnoea-hypopnoea index, the number of obstructive, central and mixed apnoea/hypopnoea, the number and duration of desaturation, snoring or the association with a certain position.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Prediction of Sleep Apnea
Time Frame: at Baseline
the degree of daytime sleepiness can predict the presence of sleep apnea the degree of daytime sleepiness can predict the presence of sleep apnea
at Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Malte Kelm, Prof. Dr., University Hospital Düsseldorf

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

June 24, 2020

Primary Completion (ANTICIPATED)

June 30, 2021

Study Completion (ANTICIPATED)

June 30, 2021

Study Registration Dates

First Submitted

June 24, 2020

First Submitted That Met QC Criteria

June 24, 2020

First Posted (ACTUAL)

June 25, 2020

Study Record Updates

Last Update Posted (ACTUAL)

June 25, 2020

Last Update Submitted That Met QC Criteria

June 24, 2020

Last Verified

June 1, 2020

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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