Prevalence and predictors of small intestinal bacterial overgrowth in inflammatory bowel disease: a meta-analysis.

IF 3.1 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL Frontiers in Medicine Pub Date : 2025-01-21 eCollection Date: 2024-01-01 DOI:10.3389/fmed.2024.1490506
Xin Feng, Jie Hu, Xin Zhang
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Abstract

Background: Small intestinal bacterial overgrowth (SIBO) has been reported to be very common among individuals with inflammatory bowel disease (IBD), and the prevalence of SIBO is highly variable. We conducted this study to calculate the prevalence and identify predictors of SIBO in IBD.

Methods: PubMed, Cochrane Library, and EMBASE from inception to March 2024 were searched for studies evaluating the prevalence of SIBO in IBD. We calculated the pooled prevalence of SIBO among IBD patients and the odds ratio (OR) of SIBO in IBD compared with healthy controls. Besides, we also evaluated predictors of SIBO in IBD patients.

Results: Twenty-nine studies (3,250 IBD, 708 controls) were included in our study. The pooled prevalence of SIBO in IBD was 31.0% (95% CI 25.2-37.1), and the prevalence of SIBO was higher in IBD compared with healthy controls (OR 5.25, 95% CI 2.96-9.32). The pooled prevalence of SIBO was higher among CD patients (32.2, 95% CI 25.9-38.8) compared with UC patients (27.8, 95% CI 18.5-38.1). The odds of lower BMI (mean difference = -1.04; 95% CI -1.86 to -0.23), bloating (OR = 3.02, 95% CI 1.22-7.5), flatulence (OR = 4.70, 95% CI 1.44-15.35), history of abdominal surgery (OR = 2.05, 95% CI 1.35-3.11), and stricturing/penetrating disease behavior (OR = 3.51, 95% CI 1.67-7.40) increased significantly in IBD patients with SIBO compared to those without SIBO. Antibiotic treatment may be effective for SIBO in IBD patients.

Conclusion: Nearly one-third of IBD patients present with SIBO positive, and the odds of SIBO in IBD was increased by 5.25-fold compared with healthy controls. Lower BMI, bloating, flatulence, history of abdominal surgery, and stricturing/penetrating disease behavior were predictors of SIBO in IBD patients.

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炎症性肠病中小肠细菌过度生长的发生率和预测因素:一项荟萃分析。
背景:据报道,小肠细菌过度生长(SIBO)在炎症性肠病(IBD)患者中非常常见,并且SIBO的患病率变化很大。我们进行这项研究是为了计算IBD中SIBO的患病率并确定预测因素。方法:检索PubMed、Cochrane Library和EMBASE从成立到2024年3月的研究,评估SIBO在IBD中的患病率。我们计算了IBD患者中SIBO的总患病率,以及IBD患者SIBO与健康对照者的比值比(OR)。此外,我们还评估了IBD患者SIBO的预测因素。结果:29项研究(3250例IBD, 708例对照)纳入我们的研究。IBD中SIBO的总患病率为31.0% (95% CI 25.2-37.1), IBD中SIBO的患病率高于健康对照组(OR 5.25, 95% CI 2.96-9.32)。CD患者SIBO的总患病率(32.2,95% CI 25.9-38.8)高于UC患者(27.8,95% CI 18.5-38.1)。BMI较低的几率(平均差值 = -1.04;95% CI -1.86至-0.23)、腹胀(OR = 3.02,95% CI 1.22-7.5)、胀气(OR = 4.70,95% CI 1.44-15.35)、腹部手术史(OR = 2.05,95% CI 1.35-3.11)和狭窄/穿入性疾病行为(OR = 3.51,95% CI 1.67-7.40)在伴有SIBO的IBD患者中与无SIBO患者相比显著增加。抗生素治疗可能对IBD患者的SIBO有效。结论:近三分之一的IBD患者存在SIBO阳性,IBD患者SIBO的几率比健康对照组增加了5.25倍。较低的BMI、腹胀、胀气、腹部手术史和狭窄/穿透性疾病行为是IBD患者SIBO的预测因素。
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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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