{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T02:44:21Z","timestamp":1791600261332,"version":"4.3.4"},"reference-count":20,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2019,5,12]],"date-time":"2019-05-12T00:00:00Z","timestamp":1557619200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Pediatric Pulmonology"],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>Among older children, sleep\u2010disordered breathing (SDB) is associated with measurable neurocognitive consequences. However, diagnostic SDB thresholds are lacking for infants\u2009&lt;\u200912 months. We sought to evaluate the relationship between SDB indices, gestational age (GA), and postmenstrual age (PMA) for infants who underwent clinically\u2010indicated polysomnograms at a tertiary care center.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Every infant\u2009&lt;\u20093\u2010months chronological age whose first clinically\u2010indicated polysomnogram was between 2\/2012 and 2\/2017 was included. Linear regression was used to evaluate associations between apnea\u2010hypopnea index (AHI), obstructive\u2010apnea index (OAI), and GA and PMA for infants with and without obvious clinical risk factors for SDB (eg, micrognathia and cleft palate).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>For 53 infants without obvious SDB risk factors (GA 35.6\u2009\u00b1\u20094.5 weeks; PMA 41.2\u2009\u00b1\u20094.0 weeks), mean AHI was 27\u2009\u00b1\u200918 and OAI 2.9\u2009\u00b1\u20094.5. There was a weak inverse relationship between AHI and PMA (<jats:italic>r<\/jats:italic>\n<jats:sup>2<\/jats:sup>\u2009=\u20090.12, <jats:italic>P<\/jats:italic>\u2009=\u20090.01), but AHI was not predicted by GA (<jats:italic>r<\/jats:italic>\n<jats:sup>2<\/jats:sup>\u2009=\u20090.04, <jats:italic>P<\/jats:italic>\u2009=\u20090.13). Conversely, OAI was more strongly associated with GA (<jats:italic>r<\/jats:italic>\n<jats:sup>2<\/jats:sup>\u2009=\u20090.33, <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.0001) than PMA (<jats:italic>r<\/jats:italic>\n<jats:sup>2<\/jats:sup>\u2009=\u20090.08, <jats:italic>P<\/jats:italic>\u2009=\u20090.036). For 28 infants with congenital structural anomalies that predispose to SDB (GA 38.0\u2009\u00b1\u20093.1 weeks, PMA 43.1\u2009\u00b1\u20093.3 weeks, AHI 37.7\u2009\u00b1\u200930, OAI 8.2\u2009\u00b1\u200911.8), neither AHI nor OAI were related to PMA or GA.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Among infants who received clinically\u2010indicated polysomnograms but did not have obvious structural risk for SDB, AHI declined with advancing PMA, but obstructive\u2010apnea was best predicted by prematurity. In contrast, the SDB risk did not improve with increasing GA or PMA for infants with congenital structural risk factors; such infants may not outgrow their risk for SDB.<\/jats:p><\/jats:sec>","DOI":"10.1002\/ppul.24354","type":"journal-article","created":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T04:33:46Z","timestamp":1557722026000},"page":"1297-1303","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Associations between age and sleep apnea risk among newborn infants"],"prefix":"10.1002","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3016-1676","authenticated-orcid":false,"given":"Lisa B.","family":"Matlen","sequence":"first","affiliation":[{"name":"Department of Pediatrics University of Michigan Ann Arbor Michigan"},{"name":"Michael S. Aldrich Sleep Disorders Center University of Michigan Ann Arbor Michigan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fauziya","family":"Hassan","sequence":"additional","affiliation":[{"name":"Department of Pediatrics University of Michigan Ann Arbor Michigan"},{"name":"Michael S. Aldrich Sleep Disorders Center University of Michigan Ann Arbor Michigan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ren\u00e9e A.","family":"Shellhaas","sequence":"additional","affiliation":[{"name":"Department of Pediatrics University of Michigan Ann Arbor Michigan"},{"name":"Michael S. Aldrich Sleep Disorders Center University of Michigan Ann Arbor Michigan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,5,12]]},"reference":[{"key":"e_1_2_7_1_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/zsx144"},{"key":"e_1_2_7_1_3_1","doi-asserted-by":"publisher","DOI":"10.5664\/jcsm.7670"},{"key":"e_1_2_7_1_4_1","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.201108-1455CI"},{"key":"e_1_2_7_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sleep.2011.05.006"},{"key":"e_1_2_7_1_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/ppul.23169"},{"key":"e_1_2_7_1_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/cch.12320"},{"key":"e_1_2_7_1_8_1","doi-asserted-by":"publisher","DOI":"10.5665\/sleep.5618"},{"key":"e_1_2_7_1_9_1","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2005-1785"},{"key":"e_1_2_7_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sleep.2011.03.023"},{"key":"e_1_2_7_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pedneo.2012.11.011"},{"key":"e_1_2_7_1_12_1","unstructured":"1971 UCLA Brain Information Service Los Angeles TF Anders RN Emde AH Parmelee University of California Los Angeles Thomas Anders Robert Emde Arthur Parmelee Brain information service. 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