Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&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: 3122
Function: getPubMedXML
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
Introduction: The urine culture is a huge workload in the Microbiology Laboratory and remains the gold standard for the diagnosis of urinary tract infections. Considering the high prevalence of negative results, the implementation of a reliable screening method could lead to cost saving in the workload, and speed up reporting of negative results.
Methods: We evaluated the usefulness of the flow cytometer UF-1000i in the screening for negative samples than could be excluded from culture. We divided the samples into two groups, Group 1, males and women of childbearing age who were considered positive with a growth ≥ 104 CFU/ml, and Group 2, considered positive with ≥ 105 CFU/ml growth.
Results: On comparing the culture and screening data in the ROC curve, the best sensitivity and specificity points were 53.1 bact/μl for Group 1, and 128.3 bact/μl for Group 2. In Group 1, the sensitivity was 92.2% and a specificity of 60%, a reduction in urine cultures of 46%, with 2.1% false negative (42 samples). In Group 2, the sensitivity was 86%, with a specificity of 87.7%, a culture reduction of 57.5%, and 5.1% false negatives (74 samples).
Conclusion: The incorporating of the UF-1000i cytometer to the screening of urine samples depends on the characteristics of the patients and the definition of positive urine culture. In our case, with only studying bacteriuria, the data on the reduction of workload and the false negatives seriously question this incorporation.
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http://dx.doi.org/10.1016/j.eimc.2013.02.015 | DOI Listing |
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