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Factors predictive of extensive use of CPAP treatment in obstructive sleep apnoea
Aim In patients with obstructive sleep apnoea (OSA), the benefits of continuous positive airway pressure (CPAP) therapy are increased for every additional hour of daily CPAP usage. However, the data of predictors of extensive usage is scarce, if any. Therefore, we evaluated potential predictors affe...
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| Published in: | Sleep & breathing 2024-12, Vol.28 (6), p.2379-2386 |
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| container_end_page | 2386 |
| container_issue | 6 |
| container_start_page | 2379 |
| container_title | Sleep & breathing |
| container_volume | 28 |
| creator | Doghman, Fatma Ballo, Haitham Anttalainen, Ulla Saaresranta, Tarja |
| description | Aim
In patients with obstructive sleep apnoea (OSA), the benefits of continuous positive airway pressure (CPAP) therapy are increased for every additional hour of daily CPAP usage. However, the data of predictors of extensive usage is scarce, if any. Therefore, we evaluated potential predictors affecting extensive treatment usage.
Methods
In this retrospective study, we compiled an institutional cohort of consecutive patients diagnosed with who started CPAP therapy 1999–2022 and were included in a wireless telemonitoring system in May 2022 (
N
= 14,394). Patients using CPAP device ≥ 9 h/d were stratified into a younger ( |
| doi_str_mv | 10.1007/s11325-024-03146-6 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11567983</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3094827197</sourcerecordid><originalsourceid>FETCH-LOGICAL-c356t-65c62d17930e5d377f76e24735c446f1f0cca49d40106df625d3e56c7e1c440a3</originalsourceid><addsrcrecordid>eNp9kUtP3TAQhS3UqlDaP9AFitRNN2k9fsYrhK6gICEBUru2jDOhQblxsB0E_77mhkJhwcqP-c6ZGR1CvgD9DpTqHwmAM1lTJmrKQahabZEdkIzVoKl5t7nT2khg2-RjSteUgmgMfCDb3IBimsMOuThyPoeYqili2_vc32IVugrvMo7p4TGnzcfq_OC8yhFdXuOYq36swmXKcV4UaUCcKjeNAd0n8r5zQ8LPj-cu-X10-Gt1XJ-e_TxZHZzWnkuVayW9Yi1owynKlmvdaYVMaC69EKqDjnrvhGkFBaraTrECoVReIxSAOr5L9hffab5cY-vLWNENdor92sV7G1xvX1bG_o-9CrcWQCptGl4cvj06xHAzY8p23SePw-BGDHOynBrRMA1GF_TrK_Q6zHEs-1kOrGmMkZIWii2UjyGliN3TNEDtQ2R2icyWyOwmMquKaO__PZ4k_zIqAF-AVErjFcbn3m_Y_gWqNKFl</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3128899550</pqid></control><display><type>article</type><title>Factors predictive of extensive use of CPAP treatment in obstructive sleep apnoea</title><source>Springer Nature</source><creator>Doghman, Fatma ; Ballo, Haitham ; Anttalainen, Ulla ; Saaresranta, Tarja</creator><creatorcontrib>Doghman, Fatma ; Ballo, Haitham ; Anttalainen, Ulla ; Saaresranta, Tarja</creatorcontrib><description>Aim
In patients with obstructive sleep apnoea (OSA), the benefits of continuous positive airway pressure (CPAP) therapy are increased for every additional hour of daily CPAP usage. However, the data of predictors of extensive usage is scarce, if any. Therefore, we evaluated potential predictors affecting extensive treatment usage.
Methods
In this retrospective study, we compiled an institutional cohort of consecutive patients diagnosed with who started CPAP therapy 1999–2022 and were included in a wireless telemonitoring system in May 2022 (
N
= 14,394). Patients using CPAP device ≥ 9 h/d were stratified into a younger (< 65 years;
N
= 124) and an older group (≥ 65 years;
N
= 131).
Results
We found 255 patients (male 61%) eligible for our study, with a median age of 65 (interquartile range, IQR 55–73) years, and mean body mass index (BMI) of 36 ± 6.9 kg/m
2
. Median CPAP use was 10 h/d (IQR 10–11). BMI and depressive symptoms (DEPS) in the younger group were higher than in the older group (37.9 ± 7 vs. 34.6 ± 6.4 kg/m
2
,
p
< 0.001 and 11 (IQR 5–20) vs. 7 (IQR 5–14),
p
= 0.01, respectively). During follow-up, the BMI of the younger group increased (39.9 ± 12.5 kg/m
2
vs. 37.9 ± 7 kg/m
2
,
p
= 0.009). DEPS values decreased in the younger group and became comparable between the groups. In multivariate models, the baseline BMI independently predicted extensive CPAP use among the younger age group, and the mask leak among the older group.
Conclusion
BMI at baseline in the younger and mask leak in the older group could be independent predictive factors for extensive use of CPAP.</description><identifier>ISSN: 1520-9512</identifier><identifier>ISSN: 1522-1709</identifier><identifier>EISSN: 1522-1709</identifier><identifier>DOI: 10.1007/s11325-024-03146-6</identifier><identifier>PMID: 39162731</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Age Factors ; Aged ; Apnea ; Body Mass Index ; Continuous Positive Airway Pressure ; Dentistry ; Female ; Humans ; Internal Medicine ; Male ; Mechanical ventilation ; Medicine ; Medicine & Public Health ; Middle Aged ; Neurology ; Otorhinolaryngology ; Pediatrics ; Pneumology/Respiratory System ; Retrospective Studies ; Sleep apnea ; Sleep Apnea, Obstructive - therapy ; Sleep Breathing Physiology and Disorders • Original ; Sleep Breathing Physiology and Disorders • Original Article ; Sleep disorders</subject><ispartof>Sleep & breathing, 2024-12, Vol.28 (6), p.2379-2386</ispartof><rights>The Author(s) 2024</rights><rights>2024. The Author(s).</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2024 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c356t-65c62d17930e5d377f76e24735c446f1f0cca49d40106df625d3e56c7e1c440a3</cites><orcidid>0009-0006-7792-537X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39162731$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Doghman, Fatma</creatorcontrib><creatorcontrib>Ballo, Haitham</creatorcontrib><creatorcontrib>Anttalainen, Ulla</creatorcontrib><creatorcontrib>Saaresranta, Tarja</creatorcontrib><title>Factors predictive of extensive use of CPAP treatment in obstructive sleep apnoea</title><title>Sleep & breathing</title><addtitle>Sleep Breath</addtitle><addtitle>Sleep Breath</addtitle><description>Aim
In patients with obstructive sleep apnoea (OSA), the benefits of continuous positive airway pressure (CPAP) therapy are increased for every additional hour of daily CPAP usage. However, the data of predictors of extensive usage is scarce, if any. Therefore, we evaluated potential predictors affecting extensive treatment usage.
Methods
In this retrospective study, we compiled an institutional cohort of consecutive patients diagnosed with who started CPAP therapy 1999–2022 and were included in a wireless telemonitoring system in May 2022 (
N
= 14,394). Patients using CPAP device ≥ 9 h/d were stratified into a younger (< 65 years;
N
= 124) and an older group (≥ 65 years;
N
= 131).
Results
We found 255 patients (male 61%) eligible for our study, with a median age of 65 (interquartile range, IQR 55–73) years, and mean body mass index (BMI) of 36 ± 6.9 kg/m
2
. Median CPAP use was 10 h/d (IQR 10–11). BMI and depressive symptoms (DEPS) in the younger group were higher than in the older group (37.9 ± 7 vs. 34.6 ± 6.4 kg/m
2
,
p
< 0.001 and 11 (IQR 5–20) vs. 7 (IQR 5–14),
p
= 0.01, respectively). During follow-up, the BMI of the younger group increased (39.9 ± 12.5 kg/m
2
vs. 37.9 ± 7 kg/m
2
,
p
= 0.009). DEPS values decreased in the younger group and became comparable between the groups. In multivariate models, the baseline BMI independently predicted extensive CPAP use among the younger age group, and the mask leak among the older group.
Conclusion
BMI at baseline in the younger and mask leak in the older group could be independent predictive factors for extensive use of CPAP.</description><subject>Age Factors</subject><subject>Aged</subject><subject>Apnea</subject><subject>Body Mass Index</subject><subject>Continuous Positive Airway Pressure</subject><subject>Dentistry</subject><subject>Female</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Male</subject><subject>Mechanical ventilation</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neurology</subject><subject>Otorhinolaryngology</subject><subject>Pediatrics</subject><subject>Pneumology/Respiratory System</subject><subject>Retrospective Studies</subject><subject>Sleep apnea</subject><subject>Sleep Apnea, Obstructive - therapy</subject><subject>Sleep Breathing Physiology and Disorders • Original</subject><subject>Sleep Breathing Physiology and Disorders • Original Article</subject><subject>Sleep disorders</subject><issn>1520-9512</issn><issn>1522-1709</issn><issn>1522-1709</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kUtP3TAQhS3UqlDaP9AFitRNN2k9fsYrhK6gICEBUru2jDOhQblxsB0E_77mhkJhwcqP-c6ZGR1CvgD9DpTqHwmAM1lTJmrKQahabZEdkIzVoKl5t7nT2khg2-RjSteUgmgMfCDb3IBimsMOuThyPoeYqili2_vc32IVugrvMo7p4TGnzcfq_OC8yhFdXuOYq36swmXKcV4UaUCcKjeNAd0n8r5zQ8LPj-cu-X10-Gt1XJ-e_TxZHZzWnkuVayW9Yi1owynKlmvdaYVMaC69EKqDjnrvhGkFBaraTrECoVReIxSAOr5L9hffab5cY-vLWNENdor92sV7G1xvX1bG_o-9CrcWQCptGl4cvj06xHAzY8p23SePw-BGDHOynBrRMA1GF_TrK_Q6zHEs-1kOrGmMkZIWii2UjyGliN3TNEDtQ2R2icyWyOwmMquKaO__PZ4k_zIqAF-AVErjFcbn3m_Y_gWqNKFl</recordid><startdate>20241201</startdate><enddate>20241201</enddate><creator>Doghman, Fatma</creator><creator>Ballo, Haitham</creator><creator>Anttalainen, Ulla</creator><creator>Saaresranta, Tarja</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7TK</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0009-0006-7792-537X</orcidid></search><sort><creationdate>20241201</creationdate><title>Factors predictive of extensive use of CPAP treatment in obstructive sleep apnoea</title><author>Doghman, Fatma ; Ballo, Haitham ; Anttalainen, Ulla ; Saaresranta, Tarja</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-65c62d17930e5d377f76e24735c446f1f0cca49d40106df625d3e56c7e1c440a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Age Factors</topic><topic>Aged</topic><topic>Apnea</topic><topic>Body Mass Index</topic><topic>Continuous Positive Airway Pressure</topic><topic>Dentistry</topic><topic>Female</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Mechanical ventilation</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neurology</topic><topic>Otorhinolaryngology</topic><topic>Pediatrics</topic><topic>Pneumology/Respiratory System</topic><topic>Retrospective Studies</topic><topic>Sleep apnea</topic><topic>Sleep Apnea, Obstructive - therapy</topic><topic>Sleep Breathing Physiology and Disorders • Original</topic><topic>Sleep Breathing Physiology and Disorders • Original Article</topic><topic>Sleep disorders</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Doghman, Fatma</creatorcontrib><creatorcontrib>Ballo, Haitham</creatorcontrib><creatorcontrib>Anttalainen, Ulla</creatorcontrib><creatorcontrib>Saaresranta, Tarja</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Sleep & breathing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Doghman, Fatma</au><au>Ballo, Haitham</au><au>Anttalainen, Ulla</au><au>Saaresranta, Tarja</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors predictive of extensive use of CPAP treatment in obstructive sleep apnoea</atitle><jtitle>Sleep & breathing</jtitle><stitle>Sleep Breath</stitle><addtitle>Sleep Breath</addtitle><date>2024-12-01</date><risdate>2024</risdate><volume>28</volume><issue>6</issue><spage>2379</spage><epage>2386</epage><pages>2379-2386</pages><issn>1520-9512</issn><issn>1522-1709</issn><eissn>1522-1709</eissn><abstract>Aim
In patients with obstructive sleep apnoea (OSA), the benefits of continuous positive airway pressure (CPAP) therapy are increased for every additional hour of daily CPAP usage. However, the data of predictors of extensive usage is scarce, if any. Therefore, we evaluated potential predictors affecting extensive treatment usage.
Methods
In this retrospective study, we compiled an institutional cohort of consecutive patients diagnosed with who started CPAP therapy 1999–2022 and were included in a wireless telemonitoring system in May 2022 (
N
= 14,394). Patients using CPAP device ≥ 9 h/d were stratified into a younger (< 65 years;
N
= 124) and an older group (≥ 65 years;
N
= 131).
Results
We found 255 patients (male 61%) eligible for our study, with a median age of 65 (interquartile range, IQR 55–73) years, and mean body mass index (BMI) of 36 ± 6.9 kg/m
2
. Median CPAP use was 10 h/d (IQR 10–11). BMI and depressive symptoms (DEPS) in the younger group were higher than in the older group (37.9 ± 7 vs. 34.6 ± 6.4 kg/m
2
,
p
< 0.001 and 11 (IQR 5–20) vs. 7 (IQR 5–14),
p
= 0.01, respectively). During follow-up, the BMI of the younger group increased (39.9 ± 12.5 kg/m
2
vs. 37.9 ± 7 kg/m
2
,
p
= 0.009). DEPS values decreased in the younger group and became comparable between the groups. In multivariate models, the baseline BMI independently predicted extensive CPAP use among the younger age group, and the mask leak among the older group.
Conclusion
BMI at baseline in the younger and mask leak in the older group could be independent predictive factors for extensive use of CPAP.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>39162731</pmid><doi>10.1007/s11325-024-03146-6</doi><tpages>8</tpages><orcidid>https://orcid.org/0009-0006-7792-537X</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Sleep & breathing, 2024-12, Vol.28 (6), p.2379-2386 |
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| source | Springer Nature |
| subjects | Age Factors Aged Apnea Body Mass Index Continuous Positive Airway Pressure Dentistry Female Humans Internal Medicine Male Mechanical ventilation Medicine Medicine & Public Health Middle Aged Neurology Otorhinolaryngology Pediatrics Pneumology/Respiratory System Retrospective Studies Sleep apnea Sleep Apnea, Obstructive - therapy Sleep Breathing Physiology and Disorders • Original Sleep Breathing Physiology and Disorders • Original Article Sleep disorders |
| title | Factors predictive of extensive use of CPAP treatment in obstructive sleep apnoea |
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