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: 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
Introduction: Inflammatory bowel disease [IBD] patients have a relapsing-remitting disease course, and amongst environmental factors that aggravate the disease course, common drugs aside from non-steroidal anti-inflammatory drugs have not been studied in detail. While the microbiome is considered to play a significant role on the disease course, the impact of antibiotics is poorly understood. This study investigated the potential impact of different classes of antibiotics on the course of disease in IBD using the Danish National Patient Registry.
Methods: Danish IBD patients were studied using two nested case-control cohorts exploring associations between antibiotic types and IBD flare-ups, defined as IBD-related hospitalizations and/or high-dose systemic steroid exposure. Multivariate logistic regression and eXtreme Gradient Boosted decision tree [GBDT] machine learning methods evaluated antibiotic risks.
Results: Two cohorts with 15 636 and 5178 patients were analysed for risk of hospitalization and course of steroids, respectively. The risk of a flare-up was significantly increased with antecedent exposure to quinolones (ATC:J01M; odds ratio [OR]: 3.04-3.82), antimycotics [ATC:J02A; OR: 1.50-2.30], agents against amoebiasis and protozoal infections [ATC:P01A; OR: 1.95-3.18], intestinal anti-infectives [ATC:A07A; OR: 2.09-2.32], and beta-lactam antibiotics [ATC:J01C; OR: 1.36]. The GBDT models achieved an area under the curve of 0.71-0.85 for predicting flare-ups, with the same above-mentioned antibiotics being in the ten most important variables.
Conclusion: We found distinctive antibiotics to be significantly associated with an increased risk of IBD flare-ups. Our findings are corroborated by our GBDT machine learning models. Healthcare providers should be aware of the deleterious potential of specific antibiotic groups in patients with IBD only using these agents in a restrictive manner or preferentially consider alternative antibiotic groups.
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Source |
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http://dx.doi.org/10.1093/ecco-jcc/jjae027 | DOI Listing |
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