Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
98%
921
2 minutes
20
Objective: Obstructive sleep apnea syndrome (OSAS) can result in learning, behavioral, and even growth problems in children. Overnight polysomnography (PSG) is the gold standard for the diagnosis of OSAS, but this diagnostic technique is time consuming and inconvenient. It is well documented that patients with OSAS experience oxygen desaturation during sleep. The purpose of this study was to determine if the level of oxygen desaturation can be used to predict OSAS in children.
Methods: This retrospective study included 148 children aged from 3 to 12 years; all were snorers and were suspected of having OSAS. Objective PSG parameters, nocturnal pulse oximeter data and subjective modified Epworth Sleepiness Scale (ESS) scores were assessed. Mild, moderate, and severe OSAS was classified as apnea-hypopnea index (AHI)≥1 and <5, AHI≥5 and <10, and AHI≥10, respectively.
Results: Of the 148 children, 130 (87.8%) were diagnosed with OSAS. There was no correlation between the AHI and the modified ESS score (r = -0.048, p = 0.563). The desaturation index (DI) had the highest correlation with AHI (r = 0.886, p < 0.001). Using the DI cut-off values of 2.05 to predict OSAS in children had good positive predictive value of 98.1%. The optimal DI cut-off values for predicting the occurrence of mild, moderate, and severe OSAS were 2.05 (sensitivity: 77.7%; specificity: 88.9%), 3.50 (sensitivity: 83.8%; specificity: 86.5%) and 4.15 (sensitivity: 89.1%; specificity: 86.0%), respectively.
Conclusions: These findings suggest that DI, as determined using a nocturnal pulse oximeter, may be a good tool for predicting both the presence and the severity of OSAS in children.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ijporl.2013.05.011 | DOI Listing |