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Screening for obstructive sleep apnoea in post‐treatment cancer patients

BACKGROUND AND AIMS: For cancer patients, comorbid obstructive sleep apnea (OSA) poses additional risk to their surgical/anaesthetic outcomes, quality of life, and survival. However, OSA screening is not well‐established in oncology settings. We tested two screening tools (STOP‐Bang questionnaire [S...

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Autores principales: Subramanian, Harini, Fuchsova, Veronika, Elder, Elisabeth, Brand, Alison, Howle, Julie, DeFazio, Anna, Mann, Graham J., Amis, Terence, Kairaitis, Kristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10026305/
https://www.ncbi.nlm.nih.gov/pubmed/36512174
http://dx.doi.org/10.1002/cnr2.1740
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author Subramanian, Harini
Fuchsova, Veronika
Elder, Elisabeth
Brand, Alison
Howle, Julie
DeFazio, Anna
Mann, Graham J.
Amis, Terence
Kairaitis, Kristina
author_facet Subramanian, Harini
Fuchsova, Veronika
Elder, Elisabeth
Brand, Alison
Howle, Julie
DeFazio, Anna
Mann, Graham J.
Amis, Terence
Kairaitis, Kristina
author_sort Subramanian, Harini
collection PubMed
description BACKGROUND AND AIMS: For cancer patients, comorbid obstructive sleep apnea (OSA) poses additional risk to their surgical/anaesthetic outcomes, quality of life, and survival. However, OSA screening is not well‐established in oncology settings. We tested two screening tools (STOP‐Bang questionnaire [SBQ] and the at‐home monitoring device, ApneaLink™Air), for predicting polysomnography (PSG) confirmed OSA in post‐treatment cancer patients. METHODS: Breast (n = 56), endometrial (n = 37) and melanoma patients (n = 50) were recruited from follow‐up clinics at Westmead Hospital (Sydney, Australia). All underwent overnight PSG, 137 completed SBQ, and 99 completed ApneaLink™Air. Positive (PPV) and negative (NPV) predictive values for PSG‐determined moderate‐to‐severe OSA and severe OSA, were calculated using an SBQ threshold ≥3 au and ApneaLink™Air apnoea‐hypopnea index thresholds of ≥10, ≥15 and ≥30 events/h. RESULTS: Both SBQ and ApneaLink™Air had high NPVs (92.7% and 85.2%–95.6% respectively) for severe OSA, but NPVs were lower for moderate‐to‐severe OSA (69.1% and 59.1%–75.5%, respectively). PPV for both tools were relatively low (all <73%). Combining both tools did not improve screening performance. CONCLUSIONS: These screening tools may help identify cancer patients without severe OSA, but both are limited in identifying those with moderate‐to‐severe or severe OSA. PSG remains optimal for adequately identifying and managing comorbid OSA in cancer patients.
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spelling pubmed-100263052023-03-21 Screening for obstructive sleep apnoea in post‐treatment cancer patients Subramanian, Harini Fuchsova, Veronika Elder, Elisabeth Brand, Alison Howle, Julie DeFazio, Anna Mann, Graham J. Amis, Terence Kairaitis, Kristina Cancer Rep (Hoboken) Original Articles BACKGROUND AND AIMS: For cancer patients, comorbid obstructive sleep apnea (OSA) poses additional risk to their surgical/anaesthetic outcomes, quality of life, and survival. However, OSA screening is not well‐established in oncology settings. We tested two screening tools (STOP‐Bang questionnaire [SBQ] and the at‐home monitoring device, ApneaLink™Air), for predicting polysomnography (PSG) confirmed OSA in post‐treatment cancer patients. METHODS: Breast (n = 56), endometrial (n = 37) and melanoma patients (n = 50) were recruited from follow‐up clinics at Westmead Hospital (Sydney, Australia). All underwent overnight PSG, 137 completed SBQ, and 99 completed ApneaLink™Air. Positive (PPV) and negative (NPV) predictive values for PSG‐determined moderate‐to‐severe OSA and severe OSA, were calculated using an SBQ threshold ≥3 au and ApneaLink™Air apnoea‐hypopnea index thresholds of ≥10, ≥15 and ≥30 events/h. RESULTS: Both SBQ and ApneaLink™Air had high NPVs (92.7% and 85.2%–95.6% respectively) for severe OSA, but NPVs were lower for moderate‐to‐severe OSA (69.1% and 59.1%–75.5%, respectively). PPV for both tools were relatively low (all <73%). Combining both tools did not improve screening performance. CONCLUSIONS: These screening tools may help identify cancer patients without severe OSA, but both are limited in identifying those with moderate‐to‐severe or severe OSA. PSG remains optimal for adequately identifying and managing comorbid OSA in cancer patients. John Wiley and Sons Inc. 2022-12-13 /pmc/articles/PMC10026305/ /pubmed/36512174 http://dx.doi.org/10.1002/cnr2.1740 Text en © 2022 The Authors. Cancer Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Subramanian, Harini
Fuchsova, Veronika
Elder, Elisabeth
Brand, Alison
Howle, Julie
DeFazio, Anna
Mann, Graham J.
Amis, Terence
Kairaitis, Kristina
Screening for obstructive sleep apnoea in post‐treatment cancer patients
title Screening for obstructive sleep apnoea in post‐treatment cancer patients
title_full Screening for obstructive sleep apnoea in post‐treatment cancer patients
title_fullStr Screening for obstructive sleep apnoea in post‐treatment cancer patients
title_full_unstemmed Screening for obstructive sleep apnoea in post‐treatment cancer patients
title_short Screening for obstructive sleep apnoea in post‐treatment cancer patients
title_sort screening for obstructive sleep apnoea in post‐treatment cancer patients
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10026305/
https://www.ncbi.nlm.nih.gov/pubmed/36512174
http://dx.doi.org/10.1002/cnr2.1740
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