Predictive factors for sleep apnoea in patients on opioids for chronic pain
Background The risk of death is elevated in patients taking opioids for chronic non-cancer pain. Respiratory depression is the main cause of death due to opioids and sleep apnoea is an important associated risk factor.Methods In chronic pain clinics, we assessed the STOP-Bang questionnaire (a screen...
| Published in: | BMJ Open Respiratory Research |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2019-10-01
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| Online Access: | https://bmjopenrespres.bmj.com/content/6/1/e000523.full |
| _version_ | 1850346012919463936 |
|---|---|
| author | Jean Wong Frances Chung Mandeep Singh Muhammad M Mamdani Gerald Lebovic David N Juurlink Beverley A Orser Philip Peng Hance Clarke Geoff Bellingham Rida Waseem Charles F P George Andrea Furlan Anuj Bhatia Richard Horner Clodagh M Ryan Neilesh Soneji Paul Tumber John Flannery Dinesh Kumbhare Arsenio Avila |
| author_facet | Jean Wong Frances Chung Mandeep Singh Muhammad M Mamdani Gerald Lebovic David N Juurlink Beverley A Orser Philip Peng Hance Clarke Geoff Bellingham Rida Waseem Charles F P George Andrea Furlan Anuj Bhatia Richard Horner Clodagh M Ryan Neilesh Soneji Paul Tumber John Flannery Dinesh Kumbhare Arsenio Avila |
| author_sort | Jean Wong |
| collection | DOAJ |
| container_title | BMJ Open Respiratory Research |
| description | Background The risk of death is elevated in patients taking opioids for chronic non-cancer pain. Respiratory depression is the main cause of death due to opioids and sleep apnoea is an important associated risk factor.Methods In chronic pain clinics, we assessed the STOP-Bang questionnaire (a screening tool for sleep apnoea; Snoring, Tiredness, Observed apnoea, high blood Pressure, Body mass index, age, neck circumference and male gender), Epworth Sleepiness Scale, thyromental distance, Mallampati classification, daytime oxyhaemoglobin saturation (SpO2) and calculated daily morphine milligram equivalent (MME) approximations for each participant, and performed an inlaboratory polysomnogram. The primary objective was to determine the predictive factors for sleep apnoea in patients on chronic opioid therapy using multivariable logistic regression models.Results Of 332 consented participants, 204 underwent polysomnography, and 120 (58.8%) had sleep apnoea (AHI ≥5) (72% obstructive, 20% central and 8% indeterminate sleep apnoea), with a high prevalence of moderate (23.3%) and severe (30.8%) sleep apnoea. The STOP-Bang questionnaire and SpO2 are predictive factors for sleep apnoea (AHI ≥15) in patients on opioids for chronic pain. For each one-unit increase in the STOP-Bang score, the odds of moderate-to-severe sleep apnoea (AHI ≥15) increased by 70%, and for each 1% SpO2 decrease the odds increased by 33%. For each 10 mg MME increase, the odds of Central Apnoea Index ≥5 increased by 3%, and for each 1% SpO2 decrease the odds increased by 45%.Conclusion In patients on opioids for chronic pain, the STOP-Bang questionnaire and daytime SpO2 are predictive factors for sleep apnoea, and MME and daytime SpO2 are predictive factors for Central Apnoea Index ≥5.Trial registration number NCT02513836 |
| format | Article |
| id | doaj-art-e5201284fe154e83b59a3e78ca7bfd4f |
| institution | Directory of Open Access Journals |
| issn | 2052-4439 |
| language | English |
| publishDate | 2019-10-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| spelling | doaj-art-e5201284fe154e83b59a3e78ca7bfd4f2025-08-19T23:12:05ZengBMJ Publishing GroupBMJ Open Respiratory Research2052-44392019-10-016110.1136/bmjresp-2019-000523Predictive factors for sleep apnoea in patients on opioids for chronic painJean Wong0Frances Chung1Mandeep Singh2Muhammad M Mamdani3Gerald Lebovic4David N Juurlink5Beverley A Orser6Philip Peng7Hance Clarke8Geoff Bellingham9Rida Waseem10Charles F P George11Andrea Furlan12Anuj Bhatia13Richard Horner14Clodagh M Ryan15Neilesh Soneji16Paul Tumber17John FlanneryDinesh KumbhareArsenio AvilaDepartment of Anesthesia and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, CanadaDepartment of Anesthesia and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada2 Department of Anesthesia and Pain Management, University Health Network, Toronto, Ontario, CanadaApplied Health Research Centre, St Michael`s Hospital, Toronto, Ontario, CanadaInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canadadivision headDepartment of Physiology, University of Toronto, Toronto, Ontario, Canada3 Anesthesia, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada1 Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, CanadaDepartment of Anesthesia and Perioperative Medicine, St. Joseph`s Health Care, Western University, London, Ontario, CanadaDepartment of Anesthesia and Pain Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, CanadaDepartment of Medicine, University of Western Ontario, London, Ontario, CanadaToronto Rehabilitation Institute, Faculty of Medicine, University of Toronto, Toronto, Ontario, CanadaAnesthesia and Pain Medicine, University of Toronto Health Policy Management and Evaluation, Toronto, Ontario, CanadaDepartment of Physiology, University of Toronto, Toronto, Ontario, CanadaDepartment of Medicine, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada1 Anesthesia and Pain Management, Toronto Western Hospital, Toronto, Ontario, Canada3 Department of Anesthesia and Pain Management, Toronto Western Hospital, University Health Network, Toronto, Ontario, CanadaBackground The risk of death is elevated in patients taking opioids for chronic non-cancer pain. Respiratory depression is the main cause of death due to opioids and sleep apnoea is an important associated risk factor.Methods In chronic pain clinics, we assessed the STOP-Bang questionnaire (a screening tool for sleep apnoea; Snoring, Tiredness, Observed apnoea, high blood Pressure, Body mass index, age, neck circumference and male gender), Epworth Sleepiness Scale, thyromental distance, Mallampati classification, daytime oxyhaemoglobin saturation (SpO2) and calculated daily morphine milligram equivalent (MME) approximations for each participant, and performed an inlaboratory polysomnogram. The primary objective was to determine the predictive factors for sleep apnoea in patients on chronic opioid therapy using multivariable logistic regression models.Results Of 332 consented participants, 204 underwent polysomnography, and 120 (58.8%) had sleep apnoea (AHI ≥5) (72% obstructive, 20% central and 8% indeterminate sleep apnoea), with a high prevalence of moderate (23.3%) and severe (30.8%) sleep apnoea. The STOP-Bang questionnaire and SpO2 are predictive factors for sleep apnoea (AHI ≥15) in patients on opioids for chronic pain. For each one-unit increase in the STOP-Bang score, the odds of moderate-to-severe sleep apnoea (AHI ≥15) increased by 70%, and for each 1% SpO2 decrease the odds increased by 33%. For each 10 mg MME increase, the odds of Central Apnoea Index ≥5 increased by 3%, and for each 1% SpO2 decrease the odds increased by 45%.Conclusion In patients on opioids for chronic pain, the STOP-Bang questionnaire and daytime SpO2 are predictive factors for sleep apnoea, and MME and daytime SpO2 are predictive factors for Central Apnoea Index ≥5.Trial registration number NCT02513836https://bmjopenrespres.bmj.com/content/6/1/e000523.full |
| spellingShingle | Jean Wong Frances Chung Mandeep Singh Muhammad M Mamdani Gerald Lebovic David N Juurlink Beverley A Orser Philip Peng Hance Clarke Geoff Bellingham Rida Waseem Charles F P George Andrea Furlan Anuj Bhatia Richard Horner Clodagh M Ryan Neilesh Soneji Paul Tumber John Flannery Dinesh Kumbhare Arsenio Avila Predictive factors for sleep apnoea in patients on opioids for chronic pain |
| title | Predictive factors for sleep apnoea in patients on opioids for chronic pain |
| title_full | Predictive factors for sleep apnoea in patients on opioids for chronic pain |
| title_fullStr | Predictive factors for sleep apnoea in patients on opioids for chronic pain |
| title_full_unstemmed | Predictive factors for sleep apnoea in patients on opioids for chronic pain |
| title_short | Predictive factors for sleep apnoea in patients on opioids for chronic pain |
| title_sort | predictive factors for sleep apnoea in patients on opioids for chronic pain |
| url | https://bmjopenrespres.bmj.com/content/6/1/e000523.full |
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