Feasibility study of determining a risk assessment model for obstructive sleep apnea in children based on local findings and clinical indicators
To test a feasible and reliable model for diagnosing obstructive sleep apnea (OSA) in children, based on the clinically relevant parameters, in comparison to a polysomnography. A total of 94 children with the suspected underlying OSA were included in the analyses. An association between clinical par...
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| Veröffentlicht in: | International journal of pediatric otorhinolaryngology 2020-08, Vol.135, p.110081-110081, Article 110081 |
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| container_title | International journal of pediatric otorhinolaryngology |
| container_volume | 135 |
| creator | Kljajic, Zlatko Glumac, Sandro Deutsch, Judith Adrianne Lupi-Ferandin, Slaven Dogas, Zoran Roje, Zeljka |
| description | To test a feasible and reliable model for diagnosing obstructive sleep apnea (OSA) in children, based on the clinically relevant parameters, in comparison to a polysomnography.
A total of 94 children with the suspected underlying OSA were included in the analyses. An association between clinical parameters (modified Mallampati score, tonsil size, adenoid size, age, gender, and body mass index) and apnea-hypopnea index (AHI) obtained following an overnight polysomnography was assessed, and significant variables were incorporated in the logistic regression model. Also, the sensitivity and specificity calculations of the model with the inclusion of ROC curve analysis were performed.
All tee local clinical parameters were significantly associated with AHI (P < 0.001). The most significant correlation with AHI was shown with the modified Mallampati score (r = 0.723), following with tonsil size (r = 0.673), and adenoid size (r = 0.502). The sensitivity of the tested model was 84%, and specificity was 74%.
This study derived a model based on the local clinical findings that significantly overlapped with the results of an overnight polysomnography, in diagnosing OSA in children. |
| doi_str_mv | 10.1016/j.ijporl.2020.110081 |
| format | Article |
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A total of 94 children with the suspected underlying OSA were included in the analyses. An association between clinical parameters (modified Mallampati score, tonsil size, adenoid size, age, gender, and body mass index) and apnea-hypopnea index (AHI) obtained following an overnight polysomnography was assessed, and significant variables were incorporated in the logistic regression model. Also, the sensitivity and specificity calculations of the model with the inclusion of ROC curve analysis were performed.
All tee local clinical parameters were significantly associated with AHI (P < 0.001). The most significant correlation with AHI was shown with the modified Mallampati score (r = 0.723), following with tonsil size (r = 0.673), and adenoid size (r = 0.502). The sensitivity of the tested model was 84%, and specificity was 74%.
This study derived a model based on the local clinical findings that significantly overlapped with the results of an overnight polysomnography, in diagnosing OSA in children.</description><identifier>ISSN: 0165-5876</identifier><identifier>EISSN: 1872-8464</identifier><identifier>DOI: 10.1016/j.ijporl.2020.110081</identifier><identifier>PMID: 32416497</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Adenoids ; Body mass index ; Child ; Child, Preschool ; Clinical Decision Rules ; Feasibility Studies ; Female ; Humans ; Logistic Models ; Male ; Models, Statistical ; Obstructive ; Palatine tonsil ; Pediatrics ; Polysomnography ; Prospective Studies ; Risk Assessment ; ROC Curve ; Sensitivity and Specificity ; Sleep apnea ; Sleep Apnea, Obstructive - diagnosis</subject><ispartof>International journal of pediatric otorhinolaryngology, 2020-08, Vol.135, p.110081-110081, Article 110081</ispartof><rights>2020 Elsevier B.V.</rights><rights>Copyright © 2020 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-9e1c476ed8ea3504689c85fe966c31af6dc0ecce174c87ba51e12cd34ff8b1ba3</citedby><cites>FETCH-LOGICAL-c362t-9e1c476ed8ea3504689c85fe966c31af6dc0ecce174c87ba51e12cd34ff8b1ba3</cites><orcidid>0000-0001-5283-6051 ; 0000-0002-9533-1261</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ijporl.2020.110081$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32416497$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kljajic, Zlatko</creatorcontrib><creatorcontrib>Glumac, Sandro</creatorcontrib><creatorcontrib>Deutsch, Judith Adrianne</creatorcontrib><creatorcontrib>Lupi-Ferandin, Slaven</creatorcontrib><creatorcontrib>Dogas, Zoran</creatorcontrib><creatorcontrib>Roje, Zeljka</creatorcontrib><title>Feasibility study of determining a risk assessment model for obstructive sleep apnea in children based on local findings and clinical indicators</title><title>International journal of pediatric otorhinolaryngology</title><addtitle>Int J Pediatr Otorhinolaryngol</addtitle><description>To test a feasible and reliable model for diagnosing obstructive sleep apnea (OSA) in children, based on the clinically relevant parameters, in comparison to a polysomnography.
A total of 94 children with the suspected underlying OSA were included in the analyses. An association between clinical parameters (modified Mallampati score, tonsil size, adenoid size, age, gender, and body mass index) and apnea-hypopnea index (AHI) obtained following an overnight polysomnography was assessed, and significant variables were incorporated in the logistic regression model. Also, the sensitivity and specificity calculations of the model with the inclusion of ROC curve analysis were performed.
All tee local clinical parameters were significantly associated with AHI (P < 0.001). The most significant correlation with AHI was shown with the modified Mallampati score (r = 0.723), following with tonsil size (r = 0.673), and adenoid size (r = 0.502). The sensitivity of the tested model was 84%, and specificity was 74%.
This study derived a model based on the local clinical findings that significantly overlapped with the results of an overnight polysomnography, in diagnosing OSA in children.</description><subject>Adenoids</subject><subject>Body mass index</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Clinical Decision Rules</subject><subject>Feasibility Studies</subject><subject>Female</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Models, Statistical</subject><subject>Obstructive</subject><subject>Palatine tonsil</subject><subject>Pediatrics</subject><subject>Polysomnography</subject><subject>Prospective Studies</subject><subject>Risk Assessment</subject><subject>ROC Curve</subject><subject>Sensitivity and Specificity</subject><subject>Sleep apnea</subject><subject>Sleep Apnea, Obstructive - diagnosis</subject><issn>0165-5876</issn><issn>1872-8464</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUGL1TAUhYMoznP0H4hk6abPpE3TvI0gw4wKA250HdLkVvNMk5qbDrx_4U82paNLuYsLh-_cQ3IIec3ZkTMu352P_rykHI4ta6vEGVP8CTlwNbSNElI8JYeK9U2vBnlFXiCeGeMD6_vn5KprBZfiNBzI7zsw6EcffLlQLKu70DRRBwXy7KOP36mh2eNPahABcYZY6JwcBDqlTNOIJa-2-AegGAAWapYIhvpI7Q8fXIZIR4PgaIo0JGuqzUdXzyI10VEbasambqI1JWV8SZ5NJiC8etzX5Nvd7debT839l4-fbz7cN7aTbWlOwK0YJDgFpuuZkOpkVT_BSUrbcTNJZxlYC3wQVg2j6Tnw1rpOTJMa-Wi6a_J2v7vk9GsFLHr2aCEEEyGtqFvBtlFtX1GxozYnxAyTXrKfTb5ozvTWhT7rvQu9daH3LqrtzWPCOs7g_pn-fn4F3u8A1Hc-eMgarYdowfkMtmiX_P8T_gB7baBk</recordid><startdate>202008</startdate><enddate>202008</enddate><creator>Kljajic, Zlatko</creator><creator>Glumac, Sandro</creator><creator>Deutsch, Judith Adrianne</creator><creator>Lupi-Ferandin, Slaven</creator><creator>Dogas, Zoran</creator><creator>Roje, Zeljka</creator><general>Elsevier B.V</general><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>7X8</scope><orcidid>https://orcid.org/0000-0001-5283-6051</orcidid><orcidid>https://orcid.org/0000-0002-9533-1261</orcidid></search><sort><creationdate>202008</creationdate><title>Feasibility study of determining a risk assessment model for obstructive sleep apnea in children based on local findings and clinical indicators</title><author>Kljajic, Zlatko ; Glumac, Sandro ; Deutsch, Judith Adrianne ; Lupi-Ferandin, Slaven ; Dogas, Zoran ; Roje, Zeljka</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-9e1c476ed8ea3504689c85fe966c31af6dc0ecce174c87ba51e12cd34ff8b1ba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adenoids</topic><topic>Body mass index</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Clinical Decision Rules</topic><topic>Feasibility Studies</topic><topic>Female</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Models, Statistical</topic><topic>Obstructive</topic><topic>Palatine tonsil</topic><topic>Pediatrics</topic><topic>Polysomnography</topic><topic>Prospective Studies</topic><topic>Risk Assessment</topic><topic>ROC Curve</topic><topic>Sensitivity and Specificity</topic><topic>Sleep apnea</topic><topic>Sleep Apnea, Obstructive - diagnosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kljajic, Zlatko</creatorcontrib><creatorcontrib>Glumac, Sandro</creatorcontrib><creatorcontrib>Deutsch, Judith Adrianne</creatorcontrib><creatorcontrib>Lupi-Ferandin, Slaven</creatorcontrib><creatorcontrib>Dogas, Zoran</creatorcontrib><creatorcontrib>Roje, Zeljka</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of pediatric otorhinolaryngology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kljajic, Zlatko</au><au>Glumac, Sandro</au><au>Deutsch, Judith Adrianne</au><au>Lupi-Ferandin, Slaven</au><au>Dogas, Zoran</au><au>Roje, Zeljka</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Feasibility study of determining a risk assessment model for obstructive sleep apnea in children based on local findings and clinical indicators</atitle><jtitle>International journal of pediatric otorhinolaryngology</jtitle><addtitle>Int J Pediatr Otorhinolaryngol</addtitle><date>2020-08</date><risdate>2020</risdate><volume>135</volume><spage>110081</spage><epage>110081</epage><pages>110081-110081</pages><artnum>110081</artnum><issn>0165-5876</issn><eissn>1872-8464</eissn><abstract>To test a feasible and reliable model for diagnosing obstructive sleep apnea (OSA) in children, based on the clinically relevant parameters, in comparison to a polysomnography.
A total of 94 children with the suspected underlying OSA were included in the analyses. An association between clinical parameters (modified Mallampati score, tonsil size, adenoid size, age, gender, and body mass index) and apnea-hypopnea index (AHI) obtained following an overnight polysomnography was assessed, and significant variables were incorporated in the logistic regression model. Also, the sensitivity and specificity calculations of the model with the inclusion of ROC curve analysis were performed.
All tee local clinical parameters were significantly associated with AHI (P < 0.001). The most significant correlation with AHI was shown with the modified Mallampati score (r = 0.723), following with tonsil size (r = 0.673), and adenoid size (r = 0.502). The sensitivity of the tested model was 84%, and specificity was 74%.
This study derived a model based on the local clinical findings that significantly overlapped with the results of an overnight polysomnography, in diagnosing OSA in children.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>32416497</pmid><doi>10.1016/j.ijporl.2020.110081</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-5283-6051</orcidid><orcidid>https://orcid.org/0000-0002-9533-1261</orcidid></addata></record> |
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| ispartof | International journal of pediatric otorhinolaryngology, 2020-08, Vol.135, p.110081-110081, Article 110081 |
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| source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
| subjects | Adenoids Body mass index Child Child, Preschool Clinical Decision Rules Feasibility Studies Female Humans Logistic Models Male Models, Statistical Obstructive Palatine tonsil Pediatrics Polysomnography Prospective Studies Risk Assessment ROC Curve Sensitivity and Specificity Sleep apnea Sleep Apnea, Obstructive - diagnosis |
| title | Feasibility study of determining a risk assessment model for obstructive sleep apnea in children based on local findings and clinical indicators |
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