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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 scr...

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Autores principales: Chung, Frances, Wong, Jean, Bellingham, Geoff, Lebovic, Gerald, Singh, Mandeep, Waseem, Rida, Peng, Philip, George, Charles F P, Furlan, Andrea, Bhatia, Anuj, Clarke, Hance, Juurlink, David N, Mamdani, Muhammad M, Horner, Richard, Orser, Beverley A, Ryan, Clodagh M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936992/
https://www.ncbi.nlm.nih.gov/pubmed/31908788
http://dx.doi.org/10.1136/bmjresp-2019-000523
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author Chung, Frances
Wong, Jean
Bellingham, Geoff
Lebovic, Gerald
Singh, Mandeep
Waseem, Rida
Peng, Philip
George, Charles F P
Furlan, Andrea
Bhatia, Anuj
Clarke, Hance
Juurlink, David N
Mamdani, Muhammad M
Horner, Richard
Orser, Beverley A
Ryan, Clodagh M
author_facet Chung, Frances
Wong, Jean
Bellingham, Geoff
Lebovic, Gerald
Singh, Mandeep
Waseem, Rida
Peng, Philip
George, Charles F P
Furlan, Andrea
Bhatia, Anuj
Clarke, Hance
Juurlink, David N
Mamdani, Muhammad M
Horner, Richard
Orser, Beverley A
Ryan, Clodagh M
author_sort Chung, Frances
collection PubMed
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 (SpO(2)) 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 SpO(2) 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% SpO(2) 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% SpO(2) decrease the odds increased by 45%. CONCLUSION: In patients on opioids for chronic pain, the STOP-Bang questionnaire and daytime SpO(2) are predictive factors for sleep apnoea, and MME and daytime SpO(2) are predictive factors for Central Apnoea Index ≥5. TRIAL REGISTRATION NUMBER: NCT02513836
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spelling pubmed-69369922020-01-06 Predictive factors for sleep apnoea in patients on opioids for chronic pain Chung, Frances Wong, Jean Bellingham, Geoff Lebovic, Gerald Singh, Mandeep Waseem, Rida Peng, Philip George, Charles F P Furlan, Andrea Bhatia, Anuj Clarke, Hance Juurlink, David N Mamdani, Muhammad M Horner, Richard Orser, Beverley A Ryan, Clodagh M BMJ Open Respir Res Sleep 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 (SpO(2)) 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 SpO(2) 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% SpO(2) 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% SpO(2) decrease the odds increased by 45%. CONCLUSION: In patients on opioids for chronic pain, the STOP-Bang questionnaire and daytime SpO(2) are predictive factors for sleep apnoea, and MME and daytime SpO(2) are predictive factors for Central Apnoea Index ≥5. TRIAL REGISTRATION NUMBER: NCT02513836 BMJ Publishing Group 2019-12-23 /pmc/articles/PMC6936992/ /pubmed/31908788 http://dx.doi.org/10.1136/bmjresp-2019-000523 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Sleep
Chung, Frances
Wong, Jean
Bellingham, Geoff
Lebovic, Gerald
Singh, Mandeep
Waseem, Rida
Peng, Philip
George, Charles F P
Furlan, Andrea
Bhatia, Anuj
Clarke, Hance
Juurlink, David N
Mamdani, Muhammad M
Horner, Richard
Orser, Beverley A
Ryan, Clodagh M
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
topic Sleep
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936992/
https://www.ncbi.nlm.nih.gov/pubmed/31908788
http://dx.doi.org/10.1136/bmjresp-2019-000523
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