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: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
The challenges of caring for abdominal ostomy disorders have grown over the years. Because the literature shows no evidence of a tool to classify peristomal skin disorders, a study group comprised of seven enterostomal therapy nurses and four surgeons sought to provide an objective, reproducible, standardized classification instrument. A prospective, observational study was conducted among eight ostomy centers across Italy. The 339 patient participants (272 men, 67 women, average age 63 [25 to 85] years) were divided into two groups according to onset of complications (less than or greater than 1 year); 800 digital photographs were taken to enhance observation and blood samples were drawn for additional data. From the data obtained, a classification scheme was created and subsequently tested using four non-study group experts. The resulting instrument facilitated lesion interpretation and detection, including topography. Thus far, this is the first validated classification attempt not based on assessments of lesions attributable to entirely different etiopathogenetic factors. Further research to refine the tool and to correlate the additional data obtained from blood samples with the classification system is underway.
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