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Conference Paper: Predicting obstructive sleep apnea in people with down syndrome

TitlePredicting obstructive sleep apnea in people with down syndrome
Authors
Issue Date2013
Citation
The 2013 Annual Symposium of the Down Syndrome Medical Interest Group (DSMIG-USA), Denver, CO., 19 July 2013. How to Cite?
AbstractObstructive sleep apnea (OSA) in individuals with Down syndrome is associated with multiple morbidities: systemic and pulmonary hypertension, glucose intolerance, cardiovascular and cerebrovascular disease, and behavioral problems. The prevalence of OSA in this population is very high, with estimates ranging between 55-97%. Currently, an overnight polysomnogram (sleep study) is the gold-standard diagnostic test for patients with Down syndrome. Yet, this testing is cumbersome, poorly tolerated by these children, costly, and not widely available around the country. In this study, we looked to identify predictive factors for OSA in persons with Down syndrome. We enrolled 100 subjects, ages 3-35 years, who already participate in the Down syndrome Program at Boston Children’s Hospital. For each patient, we collected subjective and objective measurements using validated parental survey instruments, standardized physical exams, lateral cephalograms, 3D-digital photogrammetry, and urine samples. Afterwards, all participants underwent standardized polysomnography at the Boston Children’s Hospital Sleep Laboratory where objective measurements were collected on OSA. We analyzed which combination of our assessment methods best predicted OSA, as ultimately determined by polysomnography. This will be the first time presenting the results of our data. Our final screening tool will hopefully allow physicians to avoid ordering polysomnograms for those individuals with Down syndrome at lowest risk of OSA. Further, those patients with Down syndrome and clear predictors for OSA can proceed directly toward adenotonsillectomy, the current treatment.
Persistent Identifierhttp://hdl.handle.net/10722/184888

 

DC FieldValueLanguage
dc.contributor.authorSkotko, Ben_US
dc.contributor.authorMcDonough, Men_US
dc.contributor.authorVoelz, Len_US
dc.contributor.authorRosen, Den_US
dc.contributor.authorOzonoff, Aen_US
dc.contributor.authorDavidson, Een_US
dc.contributor.authorAllareddy, Ven_US
dc.contributor.authorJayaratne, YSNen_US
dc.contributor.authorBrunn, Ren_US
dc.contributor.authorChing, Nen_US
dc.contributor.authorWeintraub, G-
dc.contributor.authorAlbers Prock, L-
dc.contributor.authorBecker, R-
dc.contributor.authorGozal, D-
dc.date.accessioned2013-07-15T10:15:53Z-
dc.date.available2013-07-15T10:15:53Z-
dc.date.issued2013en_US
dc.identifier.citationThe 2013 Annual Symposium of the Down Syndrome Medical Interest Group (DSMIG-USA), Denver, CO., 19 July 2013.en_US
dc.identifier.urihttp://hdl.handle.net/10722/184888-
dc.description.abstractObstructive sleep apnea (OSA) in individuals with Down syndrome is associated with multiple morbidities: systemic and pulmonary hypertension, glucose intolerance, cardiovascular and cerebrovascular disease, and behavioral problems. The prevalence of OSA in this population is very high, with estimates ranging between 55-97%. Currently, an overnight polysomnogram (sleep study) is the gold-standard diagnostic test for patients with Down syndrome. Yet, this testing is cumbersome, poorly tolerated by these children, costly, and not widely available around the country. In this study, we looked to identify predictive factors for OSA in persons with Down syndrome. We enrolled 100 subjects, ages 3-35 years, who already participate in the Down syndrome Program at Boston Children’s Hospital. For each patient, we collected subjective and objective measurements using validated parental survey instruments, standardized physical exams, lateral cephalograms, 3D-digital photogrammetry, and urine samples. Afterwards, all participants underwent standardized polysomnography at the Boston Children’s Hospital Sleep Laboratory where objective measurements were collected on OSA. We analyzed which combination of our assessment methods best predicted OSA, as ultimately determined by polysomnography. This will be the first time presenting the results of our data. Our final screening tool will hopefully allow physicians to avoid ordering polysomnograms for those individuals with Down syndrome at lowest risk of OSA. Further, those patients with Down syndrome and clear predictors for OSA can proceed directly toward adenotonsillectomy, the current treatment.-
dc.languageengen_US
dc.relation.ispartofDSMIG-USA Annual Symposium 2013en_US
dc.titlePredicting obstructive sleep apnea in people with down syndromeen_US
dc.typeConference_Paperen_US
dc.identifier.emailJayaratne, YSN: nalaka2@hku.hken_US
dc.description.naturelink_to_OA_fulltext-
dc.identifier.hkuros216589en_US

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