John S Saur1, Scott E Brietzke2. 1. Walter Reed National Military Medical Center, USA. 2. Walter Reed National Military Medical Center, USA; Uniformed Services University of the Health Sciences, Walter Reed National Military Medical Center, USA. Electronic address: SEBrietzke@msn.com.
Abstract
OBJECTIVE: Systematically review the published literature comparing the presence of clinical features (age, BMI, co-morbidities, etc.) versus polysomnogram (PSG) results in the prediction of major post-operative respiratory complications following pediatric adenotonsillectomy (T/A) for the treatment of Obstructive Sleep Apnea Syndrome (OSAS). METHODS: A systematic review of the PUBMED and EMBASE databases was performed to identify studies containing both clinical and PSG data predicting major post-operative respiratory complications following T/A. Inclusion criteria included English language and extractable data. Major respiratory complications were defined as events that required significant intervention (intubation, CPAP,etc.) and/or altered patient disposition. Random effect modeling was performed and study quality was assessed using the Newcastle-Ottawa Scale. RESULTS: Twenty-two studies met the inclusion criteria with a median sample size of 157 (range 26-1735) and published between 1992 and 2015. The most common study design was a case series. Most studies included multiple patients at high risk for respiratory complications (Syndromic, obese, etc.). The summary estimate of the major respiratory complication rate following T/A was only 5.8% (95% CI = 4.2-7.4%, p < 0.001, I2 = 99%). For studies with extractable data, 102 of 112 patients (91.1%) with a post-operative respiratory complication had a clearly identifiable clinical risk factor, the remainder (8.9%) had only moderate or severe OSAS on PSG and no other predictor. CONCLUSION: The major respiratory complication rate following pediatric T/A for OSAS is low even amongst series of high risk patients. The majority of the published literature report that readily identified clinical factors predict the large majority of post-operative respiratory complications following T/A. Published by Elsevier B.V.
OBJECTIVE: Systematically review the published literature comparing the presence of clinical features (age, BMI, co-morbidities, etc.) versus polysomnogram (PSG) results in the prediction of major post-operative respiratory complications following pediatric adenotonsillectomy (T/A) for the treatment of Obstructive Sleep Apnea Syndrome (OSAS). METHODS: A systematic review of the PUBMED and EMBASE databases was performed to identify studies containing both clinical and PSG data predicting major post-operative respiratory complications following T/A. Inclusion criteria included English language and extractable data. Major respiratory complications were defined as events that required significant intervention (intubation, CPAP,etc.) and/or altered patient disposition. Random effect modeling was performed and study quality was assessed using the Newcastle-Ottawa Scale. RESULTS: Twenty-two studies met the inclusion criteria with a median sample size of 157 (range 26-1735) and published between 1992 and 2015. The most common study design was a case series. Most studies included multiple patients at high risk for respiratory complications (Syndromic, obese, etc.). The summary estimate of the major respiratory complication rate following T/A was only 5.8% (95% CI = 4.2-7.4%, p < 0.001, I2 = 99%). For studies with extractable data, 102 of 112 patients (91.1%) with a post-operative respiratory complication had a clearly identifiable clinical risk factor, the remainder (8.9%) had only moderate or severe OSAS on PSG and no other predictor. CONCLUSION: The major respiratory complication rate following pediatric T/A for OSAS is low even amongst series of high risk patients. The majority of the published literature report that readily identified clinical factors predict the large majority of post-operative respiratory complications following T/A. Published by Elsevier B.V.
Authors: Sherri L Katz; Andrea Monsour; Nicholas Barrowman; Lynda Hoey; Matthew Bromwich; Franco Momoli; Theodora Chan; Reuben Goldberg; Abhilasha Patel; Li Yin; Kimmo Murto Journal: J Clin Sleep Med Date: 2019-11-27 Impact factor: 4.062