Gastro Unit, Medical Section, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark.
Copenhagen Center for Inflammatory Bowel Disease in Children, Adolescents and Adults, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark.
J Crohns Colitis. 2024 Aug 14;18(8):1232-1240. doi: 10.1093/ecco-jcc/jjae027.
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.
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.
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.
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.
炎症性肠病(IBD)患者的疾病呈复发缓解型病程,除非甾体抗炎药外,环境因素也会加重疾病进程,但目前尚未对常见药物进行详细研究。虽然微生物组被认为对疾病进程有重要影响,但抗生素的影响仍知之甚少。本研究使用丹麦国家患者登记处,通过两项嵌套病例对照队列研究,调查了不同类别的抗生素对 IBD 病程的潜在影响。
本研究使用两项嵌套病例对照队列研究,分析了丹麦 IBD 患者的数据,以探讨抗生素类型与 IBD 发作之间的关联,IBD 发作定义为与 IBD 相关的住院治疗和/或大剂量全身皮质类固醇暴露。多变量逻辑回归和极端梯度提升决策树(GBDT)机器学习方法评估了抗生素的风险。
分别对包含 15636 例和 5178 例患者的两个队列进行了分析,以评估住院风险和皮质类固醇的疗程。与抗生素使用前相比,喹诺酮类(ATC:J01M;比值比[OR]:3.04-3.82)、抗真菌药物[ATC:J02A;OR:1.50-2.30]、抗阿米巴病和原虫感染药物[ATC:P01A;OR:1.95-3.18]、肠道抗感染药物[ATC:A07A;OR:2.09-2.32]和β-内酰胺类抗生素[ATC:J01C;OR:1.36]与 IBD 发作风险显著增加相关。GBDT 模型对预测发作的曲线下面积为 0.71-0.85,上述相同抗生素在十个最重要的变量中。
我们发现,特定的抗生素与 IBD 发作风险显著增加相关。我们的发现得到了我们的 GBDT 机器学习模型的支持。医护人员应意识到在仅使用这些药物的情况下,特定抗生素类别的有害潜力,并以限制的方式使用这些药物,或优先考虑其他抗生素类别的药物。