Bobby Lo, Luc Biederman, Gerhard Rogler, Barbara Dora, Andrea Kreienbühl, Ida Vind, Flemming Bendtsen, Johan Burisch
{"title":"特定抗生素会增加炎症性肠病患者病情复发的风险--一项基于丹麦全国人口的巢式病例对照研究的结果。","authors":"Bobby Lo, Luc Biederman, Gerhard Rogler, Barbara Dora, Andrea Kreienbühl, Ida Vind, Flemming Bendtsen, Johan Burisch","doi":"10.1093/ecco-jcc/jjae027","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":94074,"journal":{"name":"Journal of Crohn's & colitis","volume":" ","pages":"1232-1240"},"PeriodicalIF":0.0000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Specific Antibiotics Increase the Risk of Flare-Ups in Patients with Inflammatory Bowel Disease: Results from a Danish Nationwide Population-Based Nested Case-Control Study.\",\"authors\":\"Bobby Lo, Luc Biederman, Gerhard Rogler, Barbara Dora, Andrea Kreienbühl, Ida Vind, Flemming Bendtsen, Johan Burisch\",\"doi\":\"10.1093/ecco-jcc/jjae027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":94074,\"journal\":{\"name\":\"Journal of Crohn's & colitis\",\"volume\":\" \",\"pages\":\"1232-1240\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Crohn's & colitis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/ecco-jcc/jjae027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Crohn's & colitis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/ecco-jcc/jjae027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Specific Antibiotics Increase the Risk of Flare-Ups in Patients with Inflammatory Bowel Disease: Results from a Danish Nationwide Population-Based Nested Case-Control Study.
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.