Severe Versus Very Severe Pediatric Obstructive Sleep Apnea Outcomes After Adenotonsillectomy
| العنوان: | Severe Versus Very Severe Pediatric Obstructive Sleep Apnea Outcomes After Adenotonsillectomy |
|---|---|
| المؤلفون: | Jessica R. Levi, Sraavya Kakarlapudi, Akhil V Uppalapati, Anthony Y. Cheung, Michael B. Cohen, Richard D Hubbell |
| المصدر: | The Laryngoscope. 132:1855-1860 |
| بيانات النشر: | Wiley, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | medicine.medical_specialty, Multivariate analysis, medicine.medical_treatment, Polysomnogram, macromolecular substances, Polysomnography, Severity of Illness Index, Adenoidectomy, Sleep Apnea Syndromes, stomatognathic system, Internal medicine, medicine, Humans, Child, Retrospective Studies, Tonsillectomy, Sleep Apnea, Obstructive, medicine.diagnostic_test, business.industry, Retrospective cohort study, Evidence-based medicine, medicine.disease, nervous system diseases, respiratory tract diseases, Obstructive sleep apnea, Otorhinolaryngology, Sleep disordered breathing, business |
| الوصف: | Objectives/hypothesis Adenotonsillectomy (AT) is generally considered the first line treatment for pediatric patients with obstructive sleep apnea (OSA). Pediatric patients with severe OSA have worse outcomes after AT than patients with milder OSA. It is currently unclear if this group of higher morbidity patients should be subdivided further. This study investigates patients with severe pediatric OSA to determine if there are differences in postsurgical outcomes based on initial severity of sleep disordered breathing, medical comorbidities, or demographic factors. Study design Retrospective cohort study at a single tertiary referral center. Methods Patients aged 2-18 who underwent polysomnogram (PSG) from October 2012 to January 2019, had an apnea-hypopnea index (AHI) >10, and subsequently underwent AT were identified using a filter through electronic medical record. A total of 112 patients underwent both pre- and postoperative PSG. Bivariate analysis was conducted via Pearson chi-square test. Univariate and multivariate analyses via binary logistic and multinomial linear regressions were performed using SPSS. Results Of the 112 patients included in this study, 68 patients were identified as having severe OSA (AHI = 10-20) and 44 as having very severe OSA (AHI > 20). Very severe OSA patients were significantly less likely to be cured of sleep disordered breathing or have their OSA reduced to mild OSA. Obese patients were found to have less reduction in AHI after AT. Conclusions The postsurgical outcomes of patients with severe and very severe OSA are significantly different indicating that patients traditionally categorized as having severe OSA may need to be further subcategorized. Level of evidence IV Laryngoscope, 2021. |
| تدمد: | 1531-4995 0023-852X |
| DOI: | 10.1002/lary.29916 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdaab7946371446eba30064c9427b010 https://doi.org/10.1002/lary.29916 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....fdaab7946371446eba30064c9427b010 |
| قاعدة البيانات: | OpenAIRE |
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Pediatric patients with severe OSA have worse outcomes after AT than patients with milder OSA. It is currently unclear if this group of higher morbidity patients should be subdivided further. This study investigates patients with severe pediatric OSA to determine if there are differences in postsurgical outcomes based on initial severity of sleep disordered breathing, medical comorbidities, or demographic factors. Study design Retrospective cohort study at a single tertiary referral center. Methods Patients aged 2-18 who underwent polysomnogram (PSG) from October 2012 to January 2019, had an apnea-hypopnea index (AHI) >10, and subsequently underwent AT were identified using a filter through electronic medical record. A total of 112 patients underwent both pre- and postoperative PSG. Bivariate analysis was conducted via Pearson chi-square test. Univariate and multivariate analyses via binary logistic and multinomial linear regressions were performed using SPSS. 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