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Furthermore, to determine the possible predictive role of the BMI percentile and age in severe OSA.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>This retrospective study included 921 children aged 2\u201318\u00a0years diagnosed with OSA by polysomnography. Analysis of Covariance (ANCOVA), Spearman\u2019s correlation, Receiver Operating Characteristics (ROC) analyses were performed\u00a0and area under the curve (AUC) was determined.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>We observed a significant association between a higher BMI percentile and the severity of OSA (p\u2009&lt;\u20090.001, \u03c1\u2009=\u20090.15). The correlation also was significant under (<jats:italic>p<\/jats:italic>\u2009=\u20090.007, \u03c1\u2009=\u20090.11) and over 7 (<jats:italic>p<\/jats:italic>\u2009=\u20090.0002, \u03c1\u2009=\u20090.23) years of age. There was no association between the severity of OSA and the presence of asthma (<jats:italic>p<\/jats:italic>\u2009=\u20090.9) or sex (<jats:italic>p<\/jats:italic>\u2009=\u20090.891), respectively. Age was significantly related to OSA severity (<jats:italic>p<\/jats:italic>\u2009=\u20090.01, <jats:italic>\u03c1<\/jats:italic>\u2009=\u20090.08). Although both the BMI percentile (0.59 AUC [0.54\u20130.65]) and age (0.58 AUC [0.52\u20130.63]) predicted severe OSA, according to the sensitivity and specificity values of the ROC curve, the association presents a slight clinical relevance.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>OSA severity is determined by the BMI percentile and age in children; however, these factors are unsuitable for predicting severe OSA in clinical practice. Based on our results, obesity is also a significant risk factor for OSA in younger children. Our study highlights that older, overweight, and obese children have a higher risk for severe OSA.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s00405-023-08237-w","type":"journal-article","created":{"date-parts":[[2023,9,27]],"date-time":"2023-09-27T16:02:04Z","timestamp":1695830524000},"page":"5607-5614","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Analysis of possible risk factors for the severity of paediatric obstructive sleep apnoea syndrome"],"prefix":"10.1007","volume":"280","author":[{"given":"Lea","family":"D\u00e9k\u00e1ny","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2508-4429","authenticated-orcid":false,"given":"Vikt\u00f3ria","family":"Moln\u00e1r","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4417-5166","authenticated-orcid":false,"given":"Andr\u00e1s","family":"Moln\u00e1r","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8983-740X","authenticated-orcid":false,"given":"Andr\u00e1s","family":"Bikov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2444-9040","authenticated-orcid":false,"given":"Zs\u00f3fia","family":"L\u00e1z\u00e1r","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Orsolya","family":"B\u00e1rdos-Csenteri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P\u00e1lma","family":"Benedek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,9,27]]},"reference":[{"key":"8237_CR1","doi-asserted-by":"publisher","first-page":"101251","DOI":"10.1016\/j.smrv.2019.101251","volume":"50","author":"LM Walter","year":"2020","unstructured":"Walter LM, Shepherd KL, Yee A, Horne RSC (2020) Insights into the effects of sleep disordered breathing on the brain in infants and children: Imaging and cerebral oxygenation measurements. 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