Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/11787
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dc.contributor.authorWilson, Danielle Len
dc.contributor.authorWalker, Susan Pen
dc.contributor.authorFung, Alison Men
dc.contributor.authorO'Donoghue, Fergal Jen
dc.contributor.authorBarnes, Mareeen
dc.contributor.authorHoward, Mark Een
dc.date.accessioned2015-05-16T01:24:54Z
dc.date.available2015-05-16T01:24:54Z
dc.date.issued2013-06-10en
dc.identifier.citationJournal of Sleep Research 2013; 22(6): 670-8en
dc.identifier.govdoc23745721en
dc.identifier.otherPUBMEDen
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/11787en
dc.description.abstractSleep-disordered breathing (SDB) is reported commonly during pregnancy and is associated with an increased risk of adverse maternal and fetal outcomes, but the majority of these data are based upon self-report measures not validated for pregnancy. This study examined the predictive value of screening questionnaires for SDB administered at two time-points in pregnancy, and attempted to develop an 'optimized predictive model' for detecting SDB in pregnancy. A total of 380 women were recruited from an antenatal clinic in the second trimester of pregnancy. All participants completed the Berlin Questionnaire and the Multivariable Apnea Risk Index (MAP Index) at recruitment, with a subset of 43 women repeating the questionnaires at the time of polysomnography at 37 weeks' gestation. Fifteen of 43 (35%) women were confirmed to have a respiratory disturbance index (RDI) > 5 h(-1) . Prediction of an RDI > 5 h(-1) was most accurate during the second trimester for both the Berlin Questionnaire (sensitivity 0.93, specificity 0.50, positive predictive value 0.50 and negative predictive value 0.93), and the MAP Index [area under the receiver operating characteristic (ROC) curve of 0.768]. A stepwise selection model identified snoring volume, a body mass index (BMI)≥32 kg m(-2) and tiredness upon awakening as the strongest independent predictors of SDB during pregnancy; this model had an area under the ROC curve of 0.952. We conclude that existing clinical prediction models for SDB perform inadequately as a screening tool in pregnancy. The development of a highly predictive model from our data shows promise for a quick and easy screening tool to be validated for future use in pregnancy.en
dc.language.isoenen
dc.subject.otherobstructive sleep apneaen
dc.subject.otherpolysomnographyen
dc.subject.otherreceiver operator characteristic curveen
dc.subject.otherscreeningen
dc.subject.othersensitivity and specificityen
dc.subject.otherAdulten
dc.subject.otherBody Mass Indexen
dc.subject.otherCohort Studiesen
dc.subject.otherFemaleen
dc.subject.otherHumansen
dc.subject.otherLogistic Modelsen
dc.subject.otherMass Screeningen
dc.subject.otherPolysomnographyen
dc.subject.otherPredictive Value of Testsen
dc.subject.otherPregnancyen
dc.subject.otherPregnancy Complications.diagnosis.physiopathologyen
dc.subject.otherPregnancy Trimester, Seconden
dc.subject.otherQuestionnairesen
dc.subject.otherROC Curveen
dc.subject.otherRisken
dc.subject.otherSleep Apnea Syndromes.complications.diagnosis.physiopathologyen
dc.subject.otherSnoring.complications.diagnosisen
dc.subject.otherYoung Adulten
dc.titleCan we predict sleep-disordered breathing in pregnancy? The clinical utility of symptoms.en
dc.typeJournal Articleen
dc.identifier.journaltitleJournal of sleep researchen
dc.identifier.affiliationInstitute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.doi10.1111/jsr.12063en
dc.description.pages670-8en
dc.relation.urlhttps://pubmed.ncbi.nlm.nih.gov/23745721en
dc.type.austinJournal Articleen
local.name.researcherBarnes, Maree
item.fulltextNo Fulltext-
item.openairetypeJournal Article-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.author.deptInstitute for Breathing and Sleep-
crisitem.author.deptRespiratory and Sleep Medicine-
crisitem.author.deptInstitute for Breathing and Sleep-
crisitem.author.deptInstitute for Breathing and Sleep-
crisitem.author.deptInstitute for Breathing and Sleep-
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