Screening for obstructive sleep apnoea in post‐treatment cancer patients
Abstract 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 question...
Ausführliche Beschreibung
Autor*in: |
Harini Subramanian [verfasserIn] Veronika Fuchsova [verfasserIn] Elisabeth Elder [verfasserIn] Alison Brand [verfasserIn] Julie Howle [verfasserIn] Anna DeFazio [verfasserIn] Graham J. Mann [verfasserIn] Terence Amis [verfasserIn] Kristina Kairaitis [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: Cancer Reports - Wiley, 2021, 6(2023), 3, Seite n/a-n/a |
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Übergeordnetes Werk: |
volume:6 ; year:2023 ; number:3 ; pages:n/a-n/a |
Links: |
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DOI / URN: |
10.1002/cnr2.1740 |
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Katalog-ID: |
DOAJ087864924 |
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520 | |a Abstract 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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653 | 0 | |a Neoplasms. Tumors. Oncology. Including cancer and carcinogens | |
700 | 0 | |a Veronika Fuchsova |e verfasserin |4 aut | |
700 | 0 | |a Elisabeth Elder |e verfasserin |4 aut | |
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700 | 0 | |a Terence Amis |e verfasserin |4 aut | |
700 | 0 | |a Kristina Kairaitis |e verfasserin |4 aut | |
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10.1002/cnr2.1740 doi (DE-627)DOAJ087864924 (DE-599)DOAJ95406cde5b55473e9b675e962dc9a5e4 DE-627 ger DE-627 rakwb eng RC254-282 Harini Subramanian verfasserin aut Screening for obstructive sleep apnoea in post‐treatment cancer patients 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. breast cancer cancer outcomes endometrial cancer melanoma screening sleep apnea Neoplasms. Tumors. Oncology. Including cancer and carcinogens Veronika Fuchsova verfasserin aut Elisabeth Elder verfasserin aut Alison Brand verfasserin aut Julie Howle verfasserin aut Anna DeFazio verfasserin aut Graham J. Mann verfasserin aut Terence Amis verfasserin aut Kristina Kairaitis verfasserin aut In Cancer Reports Wiley, 2021 6(2023), 3, Seite n/a-n/a (DE-627)1014116775 (DE-600)2920367-3 25738348 nnns volume:6 year:2023 number:3 pages:n/a-n/a https://doi.org/10.1002/cnr2.1740 kostenfrei https://doaj.org/article/95406cde5b55473e9b675e962dc9a5e4 kostenfrei https://doi.org/10.1002/cnr2.1740 kostenfrei https://doaj.org/toc/2573-8348 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 3 n/a-n/a |
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10.1002/cnr2.1740 doi (DE-627)DOAJ087864924 (DE-599)DOAJ95406cde5b55473e9b675e962dc9a5e4 DE-627 ger DE-627 rakwb eng RC254-282 Harini Subramanian verfasserin aut Screening for obstructive sleep apnoea in post‐treatment cancer patients 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. breast cancer cancer outcomes endometrial cancer melanoma screening sleep apnea Neoplasms. Tumors. Oncology. Including cancer and carcinogens Veronika Fuchsova verfasserin aut Elisabeth Elder verfasserin aut Alison Brand verfasserin aut Julie Howle verfasserin aut Anna DeFazio verfasserin aut Graham J. Mann verfasserin aut Terence Amis verfasserin aut Kristina Kairaitis verfasserin aut In Cancer Reports Wiley, 2021 6(2023), 3, Seite n/a-n/a (DE-627)1014116775 (DE-600)2920367-3 25738348 nnns volume:6 year:2023 number:3 pages:n/a-n/a https://doi.org/10.1002/cnr2.1740 kostenfrei https://doaj.org/article/95406cde5b55473e9b675e962dc9a5e4 kostenfrei https://doi.org/10.1002/cnr2.1740 kostenfrei https://doaj.org/toc/2573-8348 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 3 n/a-n/a |
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10.1002/cnr2.1740 doi (DE-627)DOAJ087864924 (DE-599)DOAJ95406cde5b55473e9b675e962dc9a5e4 DE-627 ger DE-627 rakwb eng RC254-282 Harini Subramanian verfasserin aut Screening for obstructive sleep apnoea in post‐treatment cancer patients 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. breast cancer cancer outcomes endometrial cancer melanoma screening sleep apnea Neoplasms. Tumors. Oncology. Including cancer and carcinogens Veronika Fuchsova verfasserin aut Elisabeth Elder verfasserin aut Alison Brand verfasserin aut Julie Howle verfasserin aut Anna DeFazio verfasserin aut Graham J. Mann verfasserin aut Terence Amis verfasserin aut Kristina Kairaitis verfasserin aut In Cancer Reports Wiley, 2021 6(2023), 3, Seite n/a-n/a (DE-627)1014116775 (DE-600)2920367-3 25738348 nnns volume:6 year:2023 number:3 pages:n/a-n/a https://doi.org/10.1002/cnr2.1740 kostenfrei https://doaj.org/article/95406cde5b55473e9b675e962dc9a5e4 kostenfrei https://doi.org/10.1002/cnr2.1740 kostenfrei https://doaj.org/toc/2573-8348 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 3 n/a-n/a |
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10.1002/cnr2.1740 doi (DE-627)DOAJ087864924 (DE-599)DOAJ95406cde5b55473e9b675e962dc9a5e4 DE-627 ger DE-627 rakwb eng RC254-282 Harini Subramanian verfasserin aut Screening for obstructive sleep apnoea in post‐treatment cancer patients 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. breast cancer cancer outcomes endometrial cancer melanoma screening sleep apnea Neoplasms. Tumors. Oncology. Including cancer and carcinogens Veronika Fuchsova verfasserin aut Elisabeth Elder verfasserin aut Alison Brand verfasserin aut Julie Howle verfasserin aut Anna DeFazio verfasserin aut Graham J. Mann verfasserin aut Terence Amis verfasserin aut Kristina Kairaitis verfasserin aut In Cancer Reports Wiley, 2021 6(2023), 3, Seite n/a-n/a (DE-627)1014116775 (DE-600)2920367-3 25738348 nnns volume:6 year:2023 number:3 pages:n/a-n/a https://doi.org/10.1002/cnr2.1740 kostenfrei https://doaj.org/article/95406cde5b55473e9b675e962dc9a5e4 kostenfrei https://doi.org/10.1002/cnr2.1740 kostenfrei https://doaj.org/toc/2573-8348 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 3 n/a-n/a |
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10.1002/cnr2.1740 doi (DE-627)DOAJ087864924 (DE-599)DOAJ95406cde5b55473e9b675e962dc9a5e4 DE-627 ger DE-627 rakwb eng RC254-282 Harini Subramanian verfasserin aut Screening for obstructive sleep apnoea in post‐treatment cancer patients 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 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. breast cancer cancer outcomes endometrial cancer melanoma screening sleep apnea Neoplasms. Tumors. Oncology. Including cancer and carcinogens Veronika Fuchsova verfasserin aut Elisabeth Elder verfasserin aut Alison Brand verfasserin aut Julie Howle verfasserin aut Anna DeFazio verfasserin aut Graham J. Mann verfasserin aut Terence Amis verfasserin aut Kristina Kairaitis verfasserin aut In Cancer Reports Wiley, 2021 6(2023), 3, Seite n/a-n/a (DE-627)1014116775 (DE-600)2920367-3 25738348 nnns volume:6 year:2023 number:3 pages:n/a-n/a https://doi.org/10.1002/cnr2.1740 kostenfrei https://doaj.org/article/95406cde5b55473e9b675e962dc9a5e4 kostenfrei https://doi.org/10.1002/cnr2.1740 kostenfrei https://doaj.org/toc/2573-8348 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 3 n/a-n/a |
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Harini Subramanian @@aut@@ Veronika Fuchsova @@aut@@ Elisabeth Elder @@aut@@ Alison Brand @@aut@@ Julie Howle @@aut@@ Anna DeFazio @@aut@@ Graham J. Mann @@aut@@ Terence Amis @@aut@@ Kristina Kairaitis @@aut@@ |
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Harini Subramanian |
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Screening for obstructive sleep apnoea in post‐treatment cancer patients |
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screening for obstructive sleep apnoea in post‐treatment cancer patients |
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Screening for obstructive sleep apnoea in post‐treatment cancer patients |
abstract |
Abstract 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. |
abstractGer |
Abstract 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. |
abstract_unstemmed |
Abstract 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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title_short |
Screening for obstructive sleep apnoea in post‐treatment cancer patients |
url |
https://doi.org/10.1002/cnr2.1740 https://doaj.org/article/95406cde5b55473e9b675e962dc9a5e4 https://doaj.org/toc/2573-8348 |
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Veronika Fuchsova Elisabeth Elder Alison Brand Julie Howle Anna DeFazio Graham J. Mann Terence Amis Kristina Kairaitis |
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Veronika Fuchsova Elisabeth Elder Alison Brand Julie Howle Anna DeFazio Graham J. Mann Terence Amis Kristina Kairaitis |
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RC - Internal Medicine |
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10.1002/cnr2.1740 |
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2024-07-03T14:24:57.730Z |
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