The Link Between Clinical and Physiological Sleep Data and Health-related Outcomes

May 17, 2022 updated by: Sunnybrook Health Sciences Centre

Examining the Link Between Clinical and Physiological Sleep Data and Health-related Outcomes

Emerging evidence suggests that sleep-related disturbances such as sleep-disordered breathing (e.g. sleep apnea), sleep fragmentation, abnormal sleep architecture, and periodic limb movements (PLMs) are closely linked with adverse health outcomes such as cardiovascular events, hospital admissions and mortality. However, data supporting some of these associations is inconclusive. The Sunnybrook Health Sciences Centre sleep clinic has collected a detailed set of physiological variables from adults who underwent daytime and overnight sleep studies at the Sunnybrook Health Sciences Centre Sleep Laboratory from 2004 till present. Data exists on more than 5,000 subjects with various disturbances of sleep. The investigators plan to link the Sunnybrook Sleep Laboratory data with various health administrative databases based at the Institute for Clinical Evaluative Sciences (ICES). The primary objective of this study is to determine whether the presence of various findings on polysomnography (e.g. obstructive sleep apnea, sleep structure / fragmentation, physiological characteristics such as arousals and periodic limb movements in sleep) are associated with different adverse health outcomes such as cardiovascular events, cancer, depression, hospital admissions, emergency department visits and mortality.

Study Overview

Detailed Description

The investigators will conduct a population-based cohort study using linked provincial health administrative data (based at ICES) and clinical sleep data from the Sunnybrook Health Sciences Centre Sleep Laboratory.

ICES holds an individual-level, longitudinal, coded, linkable and secure and privacy protected health databases on most publicly funded health services for the Ontario population eligible for universal health coverage since 1991 (http://www.ices.on.ca/Data-and-Privacy/ICES-data). The records in ICES data include information on physician claims submitted to the Ontario Health Insurance Plan, discharge summaries of emergency department visits and hospital stays and for those 65 years and older medical drug claims to the Ontario Drug Benefit Program. These databases will be linked using unique encoded identifiers and analysed at ICES.

In Ontario, details on physician and hospital services are captured in several health administrative databases; of these databases, the investigators plan to use the following datasets among others: (i) the Ontario Health Insurance Plan (OHIP) physician services database; (ii) the Canadian Institute for Health Information Discharge Abstract Database; (iii) the Ontario Registered Persons Database; (iv) Ontario Registrar General - Death (Vital Stats); and (v) the Ontario Stroke Registry.

ICES is a prescribed entity under section 45 of Ontario's Personal Health Information Protection Act (PHIPA). Section 45 is the provision that enables analysis and compilation of statistical information related to the management, evaluation and monitoring of, allocation of resources to, and planning for the health system. Section 45 authorizes health information custodians to disclose personal health information to a prescribed entity, like ICES, without consent for such purposes.

Study Type

Observational

Enrollment (Actual)

5000

Contacts and Locations

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

Study Locations

    • Ontario
      • Toronto, Ontario, Canada, M4N3M5
        • Dr. Mark I. Boulos - Sunnybrook Health Sciences Centre

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 and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

We will retrospectively analyze data from patients who underwent a daytime or night-time sleep study at the Sunnybrook Health Sciences Centre Sleep Laboratory. We plan to link sleep-related data using patients' last and first name, date of birth, gender and postal code, to health administrative data housed at the Institute for Clinical Evaluative Sciences (ICES). The full date of birth and full postal code are required to establish precise linkages with ICES outcomes data.

Description

Inclusion Criteria:

  • All consecutive patients who underwent a daytime or night-time sleep study at the Sunnybrook Health Sciences Centre Sleep Laboratory

Exclusion Criteria:

  • Not applicable

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Composite: cardiovascular events and mortality
Time Frame: From initial diagnostic sleep study to March 2018
Defined from health administrative data using validated case definition
From initial diagnostic sleep study to March 2018

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Separate components of the composite outcome
Time Frame: From initial diagnostic sleep study to March 2018
Defined from health administrative data using validated case definition
From initial diagnostic sleep study to March 2018
Incident and prevalent cancer
Time Frame: From initial diagnostic sleep study to March 2018
Defined from health administrative data using validated case definition
From initial diagnostic sleep study to March 2018
Hospitalizations
Time Frame: From initial diagnostic sleep study to March 2018
Defined from health administrative data using validated case definition
From initial diagnostic sleep study to March 2018
Emergency department visits
Time Frame: From initial diagnostic sleep study to March 2018
Defined from health administrative data using validated case definition
From initial diagnostic sleep study to March 2018

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Tetyana Kendzerska, MD PhD, University of Ottawa

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)

January 1, 2004

Primary Completion (ANTICIPATED)

June 1, 2023

Study Completion (ANTICIPATED)

June 1, 2023

Study Registration Dates

First Submitted

December 19, 2017

First Submitted That Met QC Criteria

December 19, 2017

First Posted (ACTUAL)

December 26, 2017

Study Record Updates

Last Update Posted (ACTUAL)

May 18, 2022

Last Update Submitted That Met QC Criteria

May 17, 2022

Last Verified

May 1, 2022

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

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.

Clinical Trials on Cardiovascular Diseases

Clinical Trials on Sleep-related disturbances (exposure)

Subscribe