Specific antibiotics increases the risk of flare-ups in patients with inflammatory bowel disease – results from a Danish nationwide population-based nested case-control study

丹麦语 炎症性肠病 抗生素 医学 套式病例对照研究 人口 疾病 火炬 病例对照研究 内科学 重症监护医学 环境卫生 微生物学 生物 哲学 语言学 物理 天体物理学
作者
Bobby Lo,Luc Biederman,Gerhard Rogler,Barbara Dora,Andrea Kreienbühl,Ida Vind,Flemming Bendtsen,Johan Burisch
出处
期刊:Journal of Crohn's and Colitis [Oxford University Press]
标识
DOI:10.1093/ecco-jcc/jjae027
摘要

Abstract Introduction IBD patients have a relapsing-remitting disease course, and amongst environmental factors that aggravate the disease course, common drugs aside from NSAIDs are not 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 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 5,178 patients were analysed for risk of hospitalisation and course of steroids, respectively. The risk of a flare-up was significantly increased with antecedent exposure to quinolones (ATC:J01M. 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 AUC between 0.71-0.85 for predicting flare-ups, with the same above-mentioned antibiotics being in the 10 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 about 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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