Watts Ariel E, Sninsky Jared A, Richey Morgan M, Donovan Kevin, Dougherty Michael K, McGill Sarah K
Division of Gastrointestinal Biology and Disease, Department of Medicine, University of North Carolina Chapel Hill, Chapel Hill, North Carolina.
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Gastro Hep Adv. 2022 Feb 3;1(2):141-146. doi: 10.1016/j.gastha.2021.11.007. eCollection 2022.
BACKGROUND AND AIMS: Fecal microbiota transplant (FMT) via colonoscopy is highly effective treatment for infection (CDI). We aimed to determine baseline patient characteristics that predict failure to respond to colonoscopy-based FMT. METHODS: We evaluated adult patients who received FMT for CDI not responding to standard therapies at a single tertiary center between 2014 and 2018 in this retrospective cohort study. We defined clinical success as formed stool or -negative diarrhea at 2 months after FMT. If patients required a second FMT, follow-up was extended 2 months after repeat infusion. We performed multivariate logistic regression and a random forest model to identify variables predictive of response to FMT. RESULTS: Clinical success was attained in 87.3% of 103 patients who underwent FMT for CDI. In the multivariate model, the odds of FMT failure for family donation compared with stool bank were odds ratio 4.13 (1.00-7.01 = .049). Diarrhea while taking anti-CDI antibiotics was common (37.8% of patients) and did not predict failure (odds ratio 0.64, 0.19-2.11 = .46) in the univariate model. A machine learning model to predict response using clinical factors only achieved a sensitivity of 70%, specificity of 77%, and negative predictive value of 96%. CONCLUSION: Colonoscopy-based FMT was highly effective for CDI, even in a population where immunosuppression and proton pump inhibitor use were common. Family stool donation was associated with FMT failure, compared with the use of a stool bank. The study suggests that the use of a stool bank may not only improve access to FMT but also its efficacy.
背景与目的:通过结肠镜进行粪便微生物群移植(FMT)是治疗艰难梭菌感染(CDI)的高效疗法。我们旨在确定可预测基于结肠镜的FMT治疗无反应的患者基线特征。 方法:在这项回顾性队列研究中,我们评估了2014年至2018年期间在单一三级中心接受FMT治疗但对标准疗法无反应的CDI成年患者。我们将临床成功定义为FMT后2个月时大便成形或腹泻阴性。如果患者需要进行第二次FMT,则在重复输注后延长2个月的随访时间。我们进行了多变量逻辑回归和随机森林模型,以识别预测FMT反应的变量。 结果:103例接受FMT治疗CDI的患者中,87.3%取得了临床成功。在多变量模型中,与粪便库相比,家庭捐赠的FMT失败几率为优势比4.13(1.00 - 7.01,P = 0.049)。在单变量模型中,服用抗CDI抗生素时出现腹泻很常见(37.8%的患者),但并不能预测失败(优势比0.64,0.19 - 2.11,P = 0.46)。仅使用临床因素预测反应的机器学习模型的敏感性为70%,特异性为77%,阴性预测值为96%。 结论:基于结肠镜的FMT对CDI非常有效,即使在免疫抑制和使用质子泵抑制剂很常见的人群中也是如此。与使用粪便库相比,家庭粪便捐赠与FMT失败有关。该研究表明,使用粪便库不仅可以改善FMT的可及性,还可以提高其疗效。
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