Abstract
Background and Aim
Patients with intestinal failure (IF) have abnormal intestinal anatomy, secretion, and dysmotility, which impairs intestinal homeostatic mechanisms and may lead to small intestinal bacterial overgrowth (SIBO). We conducted a systematic review and meta‐analysis to determine the prevalence of SIBO in patients with IF and to identify risk factors for SIBO.
Methods
MEDLINE (PubMed) and Embase electronic databases were searched from inception to December 2023 for studies that reported the prevalence of SIBO in IF. The prevalence rates, odds ratio (OR), and 95% confidence intervals of SIBO in IF and the risk factors for SIBO in IF were calculated using random effects model.
Results
Final dataset included nine studies reporting on 407 patients with IF. The prevalence of SIBO in IF was 57.5% (95% CI 44.6–69.4), with substantial heterogeneity in this analysis (I 2 = 80.9, P = 0.0001). SIBO prevalence was sixfold higher in patients with IF who received parenteral nutrition (PN) compared with IF patients not on PN (OR = 6.0, 95% CI 3.0–11.9, P = 0.0001). Overall, the prevalence of SIBO in patients with IF using PPI/acid‐suppressing agents (72.0%, 95% CI 57.5–83.8) was numerically higher compared with IF patients not using these agents (47.6%, 95% CI 25.7–70.2).
Conclusions
This systematic review and meta‐analysis suggests that there is an increased risk of SIBO in patients with IF and that PN, and potentially, the use of PPI/acid‐suppressing agents is risk factors for SIBO development in patients with IF. However, the quality of evidence is low and can be attributed to lack of case–control studies and clinical heterogeneity seen in the studies.
Keywords: bacterial overgrowth, breath tests, intestinal failure, prevalence, short gut syndrome, SIBO
Introduction
Intestinal failure (IF) is defined as the impairment of gut function below the minimum necessary for the absorption of macronutrients and/or water and electrolytes, such that intravenous supplementation is required to maintain health and/or growth. 1 The underlying pathophysiology of IF can be grouped into five categories, including short bowel, intestinal fistula, intestinal dysmotility, mechanical obstruction, and mucosal disease. 2 Short bowel syndrome/short gut syndrome is the most common cause of intestinal failure in adults and children. 3 Parenteral nutrition (PN) and home PN remain the mainstay of therapy, independent of the nature of IF, 4 which can be total or partial and permanent or temporary. The administration of PN requires a central venous catheter and hence increases the risk for catheter related blood stream infections (CRBSI). 5
Patients with IF may have abnormal intestinal anatomy, secretion, and dysmotility, which impairs intestinal homeostatic mechanisms and may lead to small intestinal bacterial overgrowth (SIBO). Small intestinal bacterial overgrowth (SIBO) is one of the most widely recognized and studied manifestation of gut microbial dysbiosis. 6 SIBO is a clinical disorder, characterized by a wide spectrum of gastrointestinal symptoms, 7 which often overlap with other gastrointestinal conditions 8 and may cause structural changes such as atrophy of small intestinal villi 9 with subsequent alterations of small intestinal absorption. Historically, the presence of ≥ 105 colony forming units per milliliter (CFU/mL) of colonic‐type bacteria in culture of jejunal aspirate has been considered the “gold standard” for establishing diagnosis of SIBO. 10 However, more recent data identified ≥ 103 CFU/mL of duodenal aspirate as the optimal threshold for diagnosing SIBO. 11 Although duodenal aspirate and culture are considered the gold standard for diagnosing SIBO, breath tests are commonly used in clinical practice due to their simplicity. However, it is worth noting that breath tests have limited sensitivity and specificity when compared with culture. 10
Several studies have reported that SIBO and CRBSI are two of the most common complications in patients with IF, with a direct impact both on morbidity and on mortality. 12 , 13 Furthermore, SIBO has been associated with an increased risk of CRBSI due to bacterial translocation, triggering intestinal mucosal inflammation, which may affect the initiation of enteral feeding and the transition of patients from PN. 13 , 14 , 15 Thus, knowledge of the risk factors and their mitigation is critical to the long‐term health and well‐being of patients with IF. In that context, the use of antimicrobials is a common treatment approach for SIBO. While this treatment often leads to symptom improvement and normalization of a positive test for SIBO 16 in other scenarios, SIBO often tends to be a recurrent problem in IF and empirical treatment strategies, such as intermittent or cycling antibiotic regimens may be chosen and monitored based on the patient's clinical response. However, there are concerns associated with this approach, including the potential misuse of antibiotics, antibiotic related adverse effects, and the development of drug resistance.
Against this background, we conducted a systematic review and meta‐analysis with a primary objective to determine the prevalence of SIBO in patients with IF. In addition, we aimed to explore (i) the association between PN (and complications of PN) and SIBO in patients with IF; (ii) the etiology of IF and SIBO; (iii) the effect of diagnostic modality and acid‐suppressing agents (e.g. proton pump inhibitors [PPIs] and histamine‐2 receptor antagonists [H2RAs]) use on the prevalence of SIBO in patients with IF; and (iv) the association between SIBO and anatomical changes in patients with IF. We also aimed to (v) assess the effect of antibiotic therapy on symptom improvement in IF patients with SIBO.
Methods
Protocol and registration
This systematic review and meta‐analysis meets the preferred reporting items for systematic reviews and meta‐analysis statement requirements (PRISMA). 17 , 18 The protocol for this Systematic Review was prospectively registered with PROSPERO (CRD42023414010).
Search strategy
Electronic databases, including PUBMED, MEDLINE (OvidSP), and EMBASE, were searched from initiation (1966) up to December 2023 for all studies assessing the prevalence of SIBO in patients with IF and/or short gut syndrome (SGS)/short bowel syndrome (SBS). The literature search strategy is outlined in the PRISMA flow diagram (Fig. 1) and was conducted with the assistance of our librarian. The search strategy for MEDLINE has been outlined in Figure S1. The initial search was not limited to specific languages to capture all appropriate studies. A further advanced search was conducted. Gray literature was searched with Google and Google Scholar, and the “Snowball” method was also utilized to identify all relevant articles.
Figure 1.

PRISMA flow diagram.
Selection of studies
Two authors (A. S. and T. F.) independently screened abstracts and titles. Abstracts were eliminated if the study did not investigate the association between SIBO and IF or SBS. Full texts of the remaining articles were retrieved and reviewed. Case–control and cohort studies, recruiting unselected subjects with a confirmed diagnosis of IF that reported the prevalence of SIBO using clinically validated methods and/or gastrointestinal symptoms suspicious for SIBO in patients with IF, and compared the prevalence SIBO in IF versus controls were eligible for inclusion. We also included studies that reported on efficacy data after antibiotic treatment of SIBO in patients with IF. If a study was interventional, both intervention and control groups were included. If a study was longitudinal or interventional, only the baseline data were used. The diagnosis of IF was based upon the clinical assessment by the treating physician. Studies not reporting original data, case reports or case series, animal studies, review articles, and those not providing data on SIBO in IF were excluded. Conference abstracts that provided available data were also included in the study. Individuals in the control group included healthy asymptomatic controls as well as “patient controls” including patients undergoing evaluation for unexplained “gastrointestinal syndromes” (e.g. iron deficiency anemia and dysphagia).
Eligibility criteria for study inclusion are provided in Table S1. Disagreements between reviewers were resolved by mutual consensus after reference to the original published paper.
Data extraction and quality assessment
Data were extracted independently by two authors with discrepancies resolved by reference to the source publication. Data were entered into a Microsoft Excel spreadsheet (2016 Professional edition: Microsoft Corp, Redmond, Washington, USA). The following information was extracted from each study independently by the two reviewers (A. S. and T. F.): author, year of publication, journal, study design, country, source of controls, method of diagnosis of SIBO including test duration, quantity of substrate used and the cut off criteria for diagnosis of SIBO, mean age, gender, concurrent use of acid‐suppressing agents, antibiotics, fecal calprotectin, and previous gastrointestinal surgeries (including presence of ileo‐cecal valve, length [percentage] of residual small bowel/colon) for patients with IF. In addition, for all patients with IF, data regarding mode of diagnosis of IF, causes of IF, treatment with PN, duration of treatment with PN, episodes of CRBSI, gastrointestinal symptoms associated with SIBO, treatment of SIBO with antibiotics (type of antibiotics, dosing, timing, and duration of therapy), and objective and subjective response post treatment were recorded. The quality of the cohort studies included was assessed by using the Joanna Briggs Institute (JBI) critical appraisal tools for use in JBI systematic reviews for cohort studies. 19 The risk of bias was ranked as high when the study reached up to 49% of “yes” score, moderate when the study reached from 50 to 69% of “yes” score, and low when the study reached over 70% of “yes” score.
Data analysis
In an initial step, case numbers of patients with IF (using various modalities for SIBO diagnosis) were determined. Data were recorded as frequency (N) of patients in each category, along with means and SD for quantitative variables. The median value and interquartile range were transformed to means and SD. 20 The interquartile range or the 5th and 95th percentile ranges were converted to SD through the following formula: SD = 0.7413 × (values at 75th percentile − values at 25th percentile) or SD = (values at 95th percentile − values at 5th percentile)/(2 × 1.645). 21
In a second step, the pooled prevalence rates and 95% confidence intervals (CI) for the prevalence of SIBO in patients with IF were calculated. Subgroup analysis stratified by diagnostic modalities, etiology of IF, effect of PN and CRBSI, and effect of acid‐suppressing agents in patients with IF were carried out. Lastly, we calculated the efficacy of antibiotic treatment in SIBO positive patients with IF. We only summarized acid‐suppressing agents (including PPI use, antacids, and H2RAs)/antibiotics data that were reported in included case–control and cohort studies. In analysis with two studies included, pooled study means and standard deviations were calculated according to the Cochrane methodology, whereby the effect of SIBO diagnosis on PN duration and remnant small and long bowel was evaluated with two‐way ANOVA. Finally, we did sensitivity analysis including only high‐quality studies, reporting the prevalence of SIBO in patients with IF.
Analyses for the association between SIBO and IF were carried out utilizing the Comprehensive Meta‐Analysis Software (CMA) Version 3.3.070. NJ, USA. In the Results section, we report the observed (unweighted) number of positive cases and total tested in addition to the weighted pooled estimates. Odds ratio and pooled prevalence estimates of disease were calculated using a random effects model (DerSimmonian & Laird method) 22 to appropriately account for between‐study variability. The statistical package CMA utilized a logit transformation of proportions and the variance of the logit to estimate pooled event rates within groups and to compare event rates between groups. If one or more cells had a value of 0, then the CMA software automatically adds a fixed value of 0.5 to the respective cell for computation of log odds ratio and variance. Between‐study variation was evaluated using Cochrane's test 23 and was quantified through the I 2 index in which values close to 100 indicate substantial variation between studies while values close to zero indicate minimal between‐study variation. Standard approaches (Egger's test 24 and inspection of funnel plots) were applied to identify potential publication biases, for analyses when at least 10 studies included in the meta‐analysis. Further, either Cochrane's test P < 0.10 or I 2 > 50% was taken as an indication of substantial heterogeneity.
Results
Selection outcome
The initial literature search revealed 305 publications. Of these, 184 published articles appeared to be relevant for the study question and were retrieved for further evaluation. Of these, 175 were excluded for reasons explained in Figure 1, leaving nine eligible studies (Fig. 1). Three out of the nine studies were case–control studies, 13 , 25 , 26 and the remaining six were cohort studies. 14 , 27 , 28 , 29 , 30 , 31 In all three case–control studies, 13 , 25 , 26 control subjects did not undergo assessment for SIBO; hence, only the cases are included for analyses in this meta‐analysis. All studies, except one 30 assessed SIBO in patients with IF in a pediatric populations. Therefore, a subgroup analysis comparing SIBO prevalence in adults and children with IF could not be performed. The characteristics of all the studies in the current meta‐analysis including the methodology pertaining to diagnosis of SIBO, patient characteristics, and geographic region are outlined in Table 1, Table S2, and Table S3. The summary of findings is outlined in Table 3.
Table 1.
Characteristics of studies showing mode of diagnosis and prevalence of SIBO in patients with intestinal failure (IF)
| No. | Author | Study year | Region | Type of study | Patients with IF, n | IF categories, n | Mode of diagnosis of SIBO | SIBO in IF patients, n (%) | |
|---|---|---|---|---|---|---|---|---|---|
| SBS | Non‐SBS | ||||||||
| 1 | Lilja et al. 1 | 2015 | Sweden |
Case–control † Prospective |
11 | 11 | NA | Gastrointestinal symptoms suspicious for SIBO | 4 (36.4) |
| 2 | Galloway et al. 2 | 2019 | USA |
Case–control † Prospective |
14 | NA | NA | Duodenal aspirate culture | 6 (42.9) |
| 3 | Gutierrez et al. 3 | 2006 | USA |
Cohort Retrospective |
57 | NA | NA | Duodenal aspirate culture | 40 (70.2) |
| 4 | Cole et al. 4 | 2010 | USA |
Case–control † Prospective |
10 | 10 | NA | GHBT | 5 (50) |
| 5 | Belza et al. 5 | 2020 | Canda |
Cohort Retrospective |
102 | 75 | 27 | Gastrointestinal symptoms suspicious for SIBO | 35 (34.3) |
| 6 | Culbreath et al. 6 | 2022 | USA |
Cohort Retrospective |
104 | NA | NA | Duodenal aspirate culture | 78 (75.0) |
| 7 | McGrath et al. 7 | 2019 | Australia |
Cohort Retrospective |
17 | NA | NA | Small bowel aspirate culture OR HBT | 12 (70.6) |
| 8 | Dibaise et al. 8 , ‡ | 2006 | USA |
Cohort Retrospective |
43 | 43 | NA | Duodenal aspirate culture OR GHBT | 27 (62.8) |
| 9 | Kaufman et al. 9 | 1997 | USA |
Cohort Retrospective |
49 | 49 | NA | Duodenojejunal aspirate culture | 30 (61.2) |
GHBT, glucose hydrogen breath test; n, number; NA, not available; SBS, short bowel syndrome; SIBO, small intestinal bacterial overgrowth.
Control subjects did not undergo assessment for SIBO; hence, only cases are included for analyses in this systematic review and meta‐analysis.
Only study that included adult patients with intestinal failure.
Table 3.
Summary of findings
| SIBO in patients with IF | No. of studies | Patients with IF, n | SIBO in patients with IF, n | Prevalence of SIBO in IF patients, % (95% CI) | Assessment of heterogeneity between studies |
|---|---|---|---|---|---|
| All studies | 9 | 407 | 237 | 57.5 (44.6–69.4) | I 2 = 80.9, P = 0.0001 |
| High‐quality studies | 4 | 224 | 154 | 66.1(54.9–75.8) | I 2 = 58.2, P = 0.699 |
| Studies assessing SIBO in IF patients on PN | 7 | 105 | 77 | 74.9(59.8–85.6) | I 2 = 35.5, P = 0.157 |
| Studies assessing SIBO in IF patients due to short bowel syndrome | 5 | 188 | 90 | 49.0(33.8–64.5) | I 2 = 73.4, P = 0.005 |
| SIBO in patients with IF | No. of studies | Patients with IF, n | SIBO in patients with IF, n | SIBO in IF patients, OR (95% CI) | Assessment of heterogeneity between studies |
|---|---|---|---|---|---|
| Studies comparing SIBO in IF patients on PN compared with IF patients not on PN | 5 |
IF patients on PN, n = 78 IF patients not on PN, n = 155 |
SIBO in IF patients on PN, n = 60 SIBO in IF patients not on PN, n = 55 |
6.0. 3.0–11.9, P = 0.0001 | I 2 = 0, P = 0.713 |
CI, confidence interval; IF, intestinal failure; OR, odds ratio; PN, parenteral nutrition; PPI, proton pump inhibitor; SIBO, small intestinal bacterial overgrowth.
Prevalence of small intestinal bacterial overgrowth in patients with intestinal failure
Nine studies 13 , 14 , 25 , 26 , 27 , 28 , 29 , 30 , 31 reported the prevalence of SIBO in 407 patients with IF. Overall, the prevalence of SIBO in patients with IF was 57.5% (95% CI 44.6–69.4, Fig. 2), with substantial heterogeneity in the studies included in this analysis (I 2 = 80.9, P = 0.0001). However, none of the studies reported on the duration of IF and SIBO; hence, a subgroup analysis could not be performed.
Figure 2.

Forest plot of studies showing prevalence of SIBO in patients with IF. Overall, the prevalence of SIBO in patients with IF is 57.5% (95% CI 44.6–69.4) (I 2 = 80.9, P = 0.0001).
In four studies, 14 , 26 , 27 , 28 SIBO was diagnosed using duodenal aspirate and culture using a cut‐off threshold of 105 CFU/mL. Two studies 29 , 30 utilized either breath test or small bowel aspirate and culture, and in one study, 13 the diagnosis was made using the glucose hydrogen breath test. However, in one study, 31 the diagnosis of SIBO was based on clinical symptoms, and in another study, 25 the diagnostic modality for SIBO was not specified (Table 1). As a result, it was not feasible to extract data for subgroup analysis to evaluate the impact of diagnostic modality on the prevalence of SIBO in patients with IF.
Influence of risk of bias on the small intestinal bacterial overgrowth prevalence in patients with intestinal failure
High‐quality studies with low risk of bias
Utilizing the JBI critical appraisal tool (Table S4), out of the nine studies, four were classified as having a high risk of bias, four had a low risk of bias, and one study had a moderate risk of bias.
When only four high‐quality studies 14 , 26 , 27 , 28 were included, compared with controls, a higher prevalence of SIBO was found in patients with IF at 66.1% (95% CI 54.9–75.8, Fig. S4). There was moderate heterogeneity noted in the studies included in this analysis (I 2 = 58.2, P = 0.699).
Prevalence of small intestinal bacterial overgrowth in patients with intestinal failure on parentral nutrition
Seven studies 13 , 14 , 25 , 26 , 27 , 29 , 31 reported the prevalence of SIBO in 105 patients with IF patients who were on PN. Overall, the prevalence of SIBO in IF patients on PN was 74.9% (95% CI 59.8–85.6, Fig. S2). However, there was moderate heterogeneity in the analysis (I 2 = 35.5, P = 0.157). SIBO prevalence was sixfold higher in patients with IF who received PN compared with IF patients not on PN (OR = 6.0, 95% CI 3.0–11.9, P = 0.0001, Fig. 3). There was minimal heterogeneity in the studies included in this analysis (I 2 = 0, P = 0.713). Two studies 14 , 27 investigated the relationship between SIBO and the duration of PN in patients with IF. The duration of PN therapy was more than twice as long for SIBO positive patients with IF as compared with SIBO negative patients; however, it did not reach statistical significance (34.5 ± 41.5 months vs 13.9 ± 12.6 months P = 0.097).
Figure 3.

Forest plot of studies showing prevalence of SIBO in patients with IF, on parenteral nutrition (PN) (OR = 6.0 [95% CI 3.0–11.9], P = 0.0001) (I 2 = 0, P = 0.713).
Link between small intestinal bacterial overgrowth and catheter related blood stream infections in patients with intestinal failure
Two studies 13 , 27 assessed the link between CRBSI and SIBO in patients with IF (Table 2). Overall, there was no difference in the prevalence of CRBSI in 15/33 IF patients with SIBO (45.5%, 95% CI 28.1–63.7) as compared with 5/11 IF patients without SIBO (45.5%, 95% CI 16.8–76.7).
Table 2.
Characteristics of studies showing SIBO prevalence patients with intestinal failure (IF) on parenteral nutrition (PN) and associated complications
| No. | Author | Age (years), mean (SD) | Gender (females), n (%) | Patients with IF, n | SIBO in patients with IF, n (%) | IF patients on PN, n | SIBO in IF patients on PN, n (%) | IF patients not on PN, n | SIBO in IF patients not on PN, n (%) | IF patients with CRBSI, n | SIBO in IF patients with CRBSI, n (%) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Lilja et al. 1 | 3.5 (1.5) | NA | 11 | 4 (36.4) | 5 | 4 (80.0) | 6 | 0 | NA | NA |
| 2 | Galloway et al. 2 | 5.8 (2.6) | NA | 14 | 6 (42.9) | 5 | 4 (80.0) | 9 | 2 (22.2) | NA | NA |
| 3 | Gutierrez et al. 3 | 5.7 (6.1) | 30 (52.6) | 57 | 40 (70.2) | 34 | 28 (82.4) | 23 | 12 (52.2) | 12 | 10 (83.3) |
| 4 | Cole et al. 4 | 0.8 (0.4) | 4 (40) | 10 | 5 (50) | 10 | 5 (50.0) | NA | NA | 8 | 5 (62.5) |
| 5 | Belza et al. 5 | NA | 43 (42.2) | 102 | 35 (34.3) | 27 | 17 (63.0) | 75 | 18 (24) | NA | NA |
| 6 | Culbreath et al. 6 | 4.2 (2.73) * | 25 (44.6) * | 104 | 78 (75.0) | NA | 44 (NA) | NA | 12 (NA) | NA † | NA † |
| 7 | McGrath et al. 7 | NA | 5 (29.4) | 17 | 12 (70.6) | 17 | 12 (70.6) | 5 | NA | NA | NA |
| 8 | Dibaise et al. 8 | 48.1 (NA) | 50 (57.5) # | 43 | 27 (62.8) | NA | 22 (NA) | NA | 5 | NA | NA |
| 9 | Kaufman et al. 9 | 5.9 (4.5) | NA | 49 | 30 (61.2) | 7 | 7 (100) | 42 | 23 (54.8) | NA | NA |
CRBSI, catheter related blood stream infections; n, number; NA, not available; SD, standard deviation.
Found no difference in the number of episodes of CRBSI (7 vs 8, P = 0.811) in the SIBO positive IF patients during the 6 months before and after antibiotic therapy.
Microbes cultured from small bowel aspirates in patients with intestinal failure diagnosed with small intestinal bacterial overgrowth
Three studies 26 , 27 , 28 provided data on the microbes cultured from IF patients diagnosed with SIBO, table S6. In all three studies, the most common Gram‐positive bacteria were reported to be Streptococcus viridans and Enterococcus species, and the most common Gram‐negative bacteria were reported to be Escherichia coli and Klebsiella pneumoniae .
Prevalence of small intestinal bacterial overgrowth, stratified according to etiology of intestinal failure
Five studies 13 , 14 , 25 , 30 , 31 examined the prevalence of SIBO in patients categorized based on the etiology of IF, primarily distinguishing between those attributed to SBS and other non‐SBS causes. The pooled prevalence of SIBO in 188 patients with IF due to SBS was 49.0% (95% CI 33.8–64.5, fig. S3), with substantial heterogeneity in the analysis (I 2 = 73.4, P = 0.005). In one study 31 that compared the prevalence of SIBO in IF patients with and without SBS, there was no significant differences between the two groups (32%, 95% CI 21.7–43.8 with SBS vs 40.7%, 95% CI 22.4–61.2 without SBS). In the remaining studies, the data could not be extracted for subgroup analysis.
Effect of acid‐suppressive therapy on the prevalence of small intestinal bacterial overgrowth in intestinal failure
Only two studies 26 , 27 , 28 reported on the prevalence of SIBO in 50 patients with IF who were on acid‐suppressing agents (Table S5). However, neither study provided information on the duration of PPI use among patients with IF. Overall, the prevalence of SIBO in patients with IF patients on acid‐suppressing agents (72.0%, 95% CI 57.5–83.8) was numerically higher compared with IF patients not on an acid‐suppressing agent (47.6%, 95% CI 25.7–70.2), but the difference was not statistically significant.
Effect of antibiotic treatment on symptoms in patient with intestinal failure with small intestinal bacterial overgrowth
Although two studies 14 , 31 reported transient improvement in gastrointestinal symptoms in patients with IF with SIBO following treatment with antibiotic therapy, data could not be extracted to conduct subgroup analysis (Table S2).
Link between small intestinal bacterial overgrowth and anatomical changes in patients with intestinal failure
Link between SIBO and ileocecal valve (ICV) in patients with IF
Four studies 25 , 26 , 27 , 31 assessed the link between an intact ileocecal valve (ICV) and SIBO in patients with IF (Table S8). Although the prevalence of SIBO in patients with IF without an ICV was higher compared with IF patients with an intact ICV (OR = 1.7, 95% CI 0.8–3.6, P = 0.174, Fig. S5), this failed statistical significance. There was minimal heterogeneity in the analysis (I 2 = 10.0, P = 0.343).
Link between SIBO and length of the remnant small bowel in patients with IF
Three studies investigated the relationship between SIBO and the percentage of remnant small bowel in patients with IF; however, data could be extracted from only two of those studies 13 , 26 (Table S9). We found that patients with IF and SIBO had approximately half of the remnant small bowel than those without SIBO; however, this failed to reach statistical significance (24.6% ± 13.9% vs 42.4% ± 30.5%. P = 0.089).
Link between SIBO and length of the remnant colon in patients with IF
Three studies investigated the relationship between SIBO and the percentage of remnant large bowel in patients with IF; however, data could be extracted only from two studies 13 , 25 (Table S10). We found that patients with IF and SIBO had similar remnant colon than those without SIBO (62.6% ± 25.1% vs 76.4% ± 25.1%, P = 0.21).
Link between SIBO in patients with IF and gastrointestinal symptoms
Two studies 28 , 29 investigated the predominant symptoms in patients with IF diagnosed with SIBO. While McGrath et al. 29 found diarrhea to be the predominant symptoms among these patients, Culbreath et al. 28 found emesis and feeding intolerance, high stool output, and abdominal distention as the predominant symptoms associated with SIBO in patients with IF. However, data could not be extracted to conduct subgroup analysis (Table S8).
Discussion
To the best of our knowledge, this is the first systematic review and meta‐analysis reporting the prevalence of SIBO in patients with IF. This meta‐analysis included nine studies conducted in four countries, with 407 patients with IF. Overall, the data suggest an increased prevalence of SIBO in patients with IF [57.5% (95% CI 44.6–69.4)]. PN was a strong risk factor for SIBO in patients with IF (OR = 6.0, 95% CI 3.0–11.9, P = 0.0001). Furthermore, patients with SIBO and IF required PN for twice as long as compared with patients with IF without SIBO, although due to small sample size this difference did not reach statistical significance.
We found statistically significant heterogeneity in the primary analysis and moderate to substantial heterogeneity in majority of the subgroup analyses. To explore this heterogeneity, we did an additional sensitivity analysis, by including only “high‐quality” studies based upon JBI appraisal tool; however, this did not significantly reduce the heterogeneity. Given this, these high heterogeneity scores likely can be attributed to the inherent limitation of the studies included in this systematic review and meta‐analysis. Although three of the nine studies included in this meta‐analysis were case–control studies, the control subjects did not undergo testing for SIBO, hence were excluded from the analysis. Majority of the studies (six of the nine studies) were retrospective audits of insufficiently defined study cohorts, with limited information regarding etiology of IF or potential confounders (e.g., acid‐suppressing agents, previous antibiotic therapies, or probiotic use) or overlap with other gastrointestinal disorders. An important selection bias was observed in some studies, where patients with IF underwent testing for SIBO after receiving empiric antibiotic therapy for SIBO.
One of the important factors contributing to the clinical heterogeneity is the widely recognized limitation of the available tests for diagnosing SIBO, as they are suboptimal in relation to sensitivity and specificity. 32 Quantitative microbial culture of small bowel aspirate (direct) has been considered as gold standard for diagnosing SIBO. However, these have several limitations like being invasive, require an endoscopy with specialized equipment, prone to cross‐contamination by oropharyngeal microbes and luminal secretions, and there is lack of consensus on the site of sampling in the small intestine and reliable thresholds of bacterial counts for diagnosing SIBO. 10 The direct tests have been replaced by breath tests (indirect test) in clinical setting for diagnosing SIBO. However, the breath tests are not adequately standardized and therefore have also significant methodological limitations and lack sensitivity and specificity for SIBO diagnosis. 33 It should be added that in the current meta‐analysis the majority of studies were conducted in a pediatric population and the diagnosis of SIBO was based on clinical symptoms suspicious for SIBO rather than clinically available diagnostic tests, which further reduces the accuracy of the diagnosis in these cases. Furthermore, it was not possible to extract data for conducting subgroup analysis based on the type of diagnostic test used to identify SIBO in patients with IF.
For those studies that used small bowel aspirates for culture‐based tests of SIBO positivity in IF patients, the most commonly reported bacteria include both Gram‐positive (Streptococcus viridans and Enterococcus species) and Gram‐negative ( Escherichia coli and Klebsiella pneumoniae ) taxa. While many members of all these taxa are recognized for their capacity to grow in the microaerophilic conditions, they are most likely prevalent within the gut lumen during PN administration. However, the resident microbiota throughout the GI tract during periods of PN are also most likely to favor other unidentified taxa with the capacity to utilize and release nutrients from mucins, sloughed epithelial cells and other host‐derived secretions. As such, whether the bacterial taxa reported in these studies examined here are the cause or consequence of SIBO in IF remains unclear. These are aligned with the findings of recent study by Leite et al. 11 that confirmed that few specific E. coli and Klebsiella strains/species appear responsible for the majority of overgrowth and SIBO symptoms. None of the studies included in this meta‐analysis measured methane positivity during breath testing. The significance of breath methane measurements in individuals suspected of having intestinal dysbiosis is suggested by the guidelines of the American College of Gastroenterology for SIBO. 34
One of the key findings of this systematic review and meta‐analysis is the sixfold increased risk of SIBO in patients with IF on PN (OR = 6.0, 95% CI 3.0–11.9, P = 0.0001). The association between SIBO and PN dependence is likely multifactorial. SIBO may cause structural changes such as atrophy of small intestinal villi 9 with subsequent alterations of small intestinal absorption. Thus, patients with SIBO are at risk for increased intestinal malabsorption and the resultant need for PN support. Furthermore, patients with SIBO may experience limited tolerance to enteral nutrition due to symptoms related to intestinal malabsorption, further necessitating the use of PN. This would potentially explain why patients with IF and positive for SIBO require PN for a longer duration as compared with those without SIBO (34.5 ± 41.5 months vs 13.9 ± 12.6 months P = 0.097). The administration of PN requires a central venous catheter and hence increases the risk for CRBSI in patients with IF. Furthermore, SIBO has been linked to a higher incidence of CRBSI via bacterial translocation, through increased intestinal permeability seen in patients with IF. Although limited by the small number of studies, we found no link in the prevalence of CRBSI in patients with IF and SIBO.
SBS is the most common cause of IF in both adults and children. 3 The pooled prevalence rate of SIBO in 188 patients with IF due to SBS was 49.0% (95% CI 33.8–64.5). However, data could not be extracted to conduct subgroup analysis to compare prevalence of SIBO in IF patients due to SBS and non‐SBS. PPI use has been considered as a risk factor for SIBO in various gastrointestinal conditions. 35 Chronic acid suppression and the resultant hypochlorhydria associated with PPI use has been suggested to alter the intraluminal environment to promote the growth of colonic bacteria in the small intestine. 36 However, a recent study 37 showed that SIBO rates were not significantly different between subjects on a PPI as compared with those not on a PPI, based upon duodenal aspirate and culture (> 103 CFU/mL) or 16S sequencing. Thus, the link between SIBO and PPI use remains controversial. In the current systematic review although limited by a small sample size, SIBO prevalence was proportionally (but not significantly) higher in IF patients on an acid‐suppressing agent as compared with those not on an acid‐suppressing agent (72.0% [95% CI 57.5–83.8] vs 47.6%, [95% CI 25.7–70.2]). Thus, the true link between SIBO in IF and PPI use remains to be explored. Patients with IF often require long‐term and cyclical use of antibiotics to manage their symptoms. Antibiotics are commonly prescribed based on clinical suspicion of SIBO, without relying on specific diagnostic tests. Despite this, only two out of the nine studies included in this meta‐analysis reported on transient improvement in gastrointestinal symptoms after antibiotic therapy using a variety of broad‐spectrum antibiotics; thus, a definitive conclusion on the most effective antibiotic for treating SIBO positive patients with IF cannot be drawn. Despite this, only two studies included in this meta‐analysis reported on transient improvement in gastrointestinal symptoms in all SIBO positive patients with IF. Moreover, they did not provide information regarding the normalization of SIBO diagnostic tests after antibiotic treatment. It is important that the risks of long‐term cyclical antibiotic therapy including antibiotic resistance, agent specific adverse effects, increased cost, and Clostridium difficile colitis should be appropriately investigated to help minimize antimicrobial resistance in this medically complex population.
Patients with IF often have abnormal intestinal anatomy, which can predispose to SIBO. SIBO is believed to occur as a consequence of intestinal dilation and subsequent stasis, which in turn promotes more bacterial proliferation and inflammation. 14 While the small sample size and limited number of studies hindered a comprehensive subgroup analysis, the absence of an ICV was identified as a potential risk factor for SIBO in patients with IF (OR = 1.7, 95% CI 0.8–3.6, P = 0.174). Similarly, a shorter residual small bowel length (but not the colonic length) was also identified as a potential risk factor for SIBO in patients with IF. However, like the previous findings, this association did not reach statistical significance.
SIBO is now considered a cause or contributor for symptoms in patients with highly prevalent conditions such as DGBI, 38 , 39 celiac disease, 40 or IBD. 41 Symptoms linked with SIBO often overlap with other gastrointestinal conditions hence are considered as poor predictors of bacterial overgrowth. Grace et al. 42 found that diarrhea was the most prevalent symptom associated with SIBO, followed by abdominal pain and bloating. However, no study explored the symptom severity in patients with IF and the association with SIBO. Across various studies included in this meta‐analysis, we were unable to extract data and conduct subgroup analysis to identify a specific symptom or cluster of symptoms that could reliably predicts the SIBO in IF. This meta‐analysis also aimed to assess various risk factors for SIBO in patients with IF, but no effect sizes or ORs could be calculated regarding the prevalence of SIBO and the markers of inflammation such as fecal calprotectin and intestinal permeability or duration of PN. This information has been outlined in a descriptive fashion as the available studies did not allow data extraction to perform the appropriate statistical analyses.
There are limitations of this systematic review and meta‐analysis. The case–control studies included patients with a variety of diseases or unexplained gastrointestinal symptoms as controls, and moreover, none of the controls underwent assessment for SIBO. Including only cases from case–control studies in this meta‐analysis certainly has some limitations. Firstly, the lack of a control group for comparison hinders the assessment of association and causality. Without controls, the generalizability of findings is affected, as it does not represent the broader population. 43 In addition, accounting for confounding factors becomes challenging. Thus, the absence of controls limits the interpretation and comprehensive understanding of the exposure–outcome relationship). In addition, small sample sizes (e.g., < 50 subjects per group) in majority of the studies (six of the nine studies) limited the statistical power of some of the sub‐group analyses.
In summary, this is the first systematic review and meta‐analyses, which reveals an increased prevalence of SIBO in patients with IF. PN dependence appeared to be a risk factor for SIBO in IF. Although limited by the small sample size (and the small number of studies), anatomical, and structural changes such as absence of an ICV, shorter residual small bowel (but not colon), acid‐suppressing agents, and longer duration of PN appeared to be possible risk factors for SIBO in patients with IF and need further investigation. While only limited data were available, we did not find any significant difference in SIBO prevalence according to etiology of IF.
The findings of this meta‐analysis must be interpreted with caution. The quality of evidence is low, and this can be attributed mainly to substantial clinical heterogeneity seen in the studies included in this meta‐analysis. In order to facilitate meaningful clinical investigations in the context of the relative rarity of IF, it is essential that centers involved in IF management collaborate and establish a joint clinical database. Such a collaborative effort will enable a more comprehensive and impactful approach to conducting research in this field.
Supporting information
Figure S1: Search strategy for MEDLINE.
Figure S2: Forest plot of studies showing prevalence of SIBO in patients with IF, on parenteral nutrition (PN) 74.9% (95%CI 59.8–85.6, P = 0.002), (I2 = 35.5, P = 0.157).
Figure S3: Forest plot of studies showing prevalence of SIBO in patients with IF, due to short bowel syndrome (SBS) 49.0% (95%CI 33.8–64.5, P = 0.904), (I2 = 73.4, P = 0.005).
Figure S4: Forest plot of studies showing prevalence of SIBO in patients with IF, including only high‐quality studies 66.1% (95%CI 54.9–75.8, P = 0.006), (I2 = 58.2, P = 0.067).
Figure S5: Forest plot of studies showing prevalence of SIBO in patients with IF, without an intact ileo‐cecal valve (ICV) compared to those with an ICV (OR = 1.7, 95%CI 0.8–3.6, P = 0.174), (I2 = 10.0, P = 0.343).
Table S1: Eligibility criteria for the studies included in systematic review and meta‐analysis.
Table S2: Assessment of risk factors for SIBO in patients with IF in the studies included in the systematic review and meta‐analysis.
Table S3: Assessment of cut off criteria for diagnosing SIBO in patients with IF.
Table S4: Joanna Briggs Institute (JBI) Critical Appraisal Tools for assessment of quality of cohort studies and the case groups of the case–control studies included in the systematic review and meta‐analysis.
Table S5: Studies assessing the effect of proton pump inhibitor (PPI) on small intestinal bacterial overgrowth (SIBO) prevalence in patients with intestinal failure (IF).
Table S6: Composition of small bowel aspirate in patients with intestinal failure (IF) diagnosed with small intestinal bacterial overgrowth (SIBO), using a cut‐off threshold of 105 colony forming units/milliliter.
Table S7: Predominant gastrointestinal symptoms in patients with intestinal failure (IF) with small intestinal bacterial overgrowth (SIBO).
Table S8: Studies assessing the prevalence of small intestinal bacterial overgrowth (SIBO) in patients with intestinal failure (IF) according to anatomy.
Table S9: Studies assessing the prevalence of small intestinal bacterial overgrowth (SIBO) in patients with intestinal failure (IF) according to anatomy.
Table S10: Studies assessing the prevalence of small intestinal bacterial overgrowth (SIBO) in patients with intestinal failure (IF) according to anatomy and outcomes.
Acknowledgments
The authors would like to acknowledge our librarian at the Princess Alexandra Hospital, Ms Gina Velli, who has assisted with the literature search.
Shah, A. , Fairlie, T. , Morrison, M. , Martin, N. , Hammer, K. , Hammer, J. , Koloski, N. , Rezaie, A. , Pimentel, M. , Kashyap, P. , Jones, M. P. , and Holtmann, G. (2024) Prevalence of small intestinal bacterial overgrowth in intestinal failure syndrome: A systematic review and meta‐analysis. Journal of Gastroenterology and Hepatology, 39: 2308–2318. 10.1111/jgh.16668.
Ayesha Shah, Thomas Fairlie, Mark Morrison, Natasha Koloski, Michael P. Jones, and Gerald Holtmann for AGIRA (Australian Gastrointestinal Research Alliance).
Declaration of conflict of interest: GH report to be on the advisory boards Australian Biotherapeutics, Glutagen, Bayer and received research support from Bayer, Abbott, Pfizer, Janssen, Takeda, Allergan. He serves on the Boards of the West Moreton Hospital and Health Service (WMHHS), Queensland, UQ Healthcare, Brisbane and the Gastro‐Liga, Germany and is Chair of the WMHHS Board Quality and Safety Committee. He has a patent for the Brisbane aseptic biopsy device and serves as Editor of the Gastro‐Liga Newsletter. He is on the Research Committee of the Royal Australasian College of Physicians. GH acknowledges funding from the National Health and Medical Research Council (NHMRC) for the Centre for Research Excellence in Digestive Health. GH holds an MRFF and an NHMRC Ideas grant. NM has received speaker fees from Baxter and Takeda. Also, received travel, registration, and accommodation support for CIRTA conference. MP reports to be on advisory boards for Gemelli Biotech, Ardelyx, Vivante Health, and Salvo Health. He also has equity/options in Vivante, Salvo and Gemelli Biotech. He also has had funding in the last 2 years from Bausch Health and 9 meters. MM has received research grants from Soho Flordis International (SFI) Australia Research, Bayer Steigerwald Arzneimittelwerk (Bayer Consumer Health) and Yakult‐Nature Global Grant for Gut Health; speaker's honoraria, and travel sponsorship from Janssen Australia; consultancy fees from Bayer Steigerwald Arzneimittelwerk (Bayer Consumer Health), Sanofi Australia, and Danone‐Nutricia Australia; speaker honoraria and travel sponsorship from Perfect Company (China), and travel sponsorship from Yakult Inc (Japan). MM is coinventor of PCT/AU2022/050556 “Diagnostic marker for functional gastrointestinal disorders” via the University of Newcastle and UniQuest (University of Queensland) and US20110076356 A1 “Novel Fibro‐biotic bacterium isolate” via the US Department of Agriculture. MM also acknowledges funding from NHMRC Australia, Australian Research Council, Princess Alexandra Hospital Research Foundation, Medical Research Futures Fund of Australia, Helmsley ChariTable Trust via the Australasian Gastrointestinal Research Foundation, and United States Department of Defense. MM serves on the science advisory board (non‐remunerated) for GenieBiome, Hong Kong. AR reports to have equity in Gemelli Biotech and GoodLFE. He also serves as a consultant for Bausch health and Hobbs medical. Cedars‐Sinai has licensing agreement with Gemelli biotech and Hobbs medical.
Author contribution: Ayesha Shah, Thomas Fairlie and Gerald Holtmann: study idea, concept and design, data extraction and interpretation of data, drafting of the manuscript. Ayesha Shah and Thomas Fairlie share equal first co‐authorship. Natasha Koloski: drafting of the manuscript and review of final manuscript. Neal Martin: drafting of the manuscript and review of final manuscript. Mark Morrison: drafting of the manuscript and review of final manuscript. Ali Rezaie: drafting of the manuscript and review of final manuscript. Mark Pimentel: drafting of the manuscript and review of final manuscript. Purna Kashyap: drafting of the manuscript and review of final manuscript. Karin Hammer: drafting of the manuscript and review of final manuscript. Johann Hammer: drafting of the manuscript and review of final manuscript. Michael P Jones: data analysis, drafting of the manuscript and review of final manuscript.
Financial support: National Health and Medical Research Council (APP2004495) and Centre for Research Excellence (APP170993).
Guarantor of the article: Prof Gerald Holtmann.
Data availability statement
Aggregate, rather than individual‐level, data were included in these analyses from published manuscripts and conference publications, which are publicly available.
References
- 1. Cuerda C, Pironi L, Arends J et al. ESPEN practical guideline: clinical nutrition in chronic intestinal failure. Clin. Nutr. 2021; 40: 5196–5220. [DOI] [PubMed] [Google Scholar]
- 2. Pironi L, Arends J, Baxter J et al. ESPEN endorsed recommendations. Definition and classification of intestinal failure in adults. Clin. Nutr. 2015; 34: 171–180. [DOI] [PubMed] [Google Scholar]
- 3. Belza C, Wales PW. Intestinal failure among adults and children: Similarities and differences. Nutr. Clin. Pract. 2023; 38: S98–S113. [DOI] [PubMed] [Google Scholar]
- 4. Scolapio JS. A review of the trends in the use of enteral and parenteral nutrition support. J. Clin. Gastroenterol. 2004; 38: 403–407. [DOI] [PubMed] [Google Scholar]
- 5. Shulman RJ, Phillips S. Parenteral nutrition in infants and children. J. Pediatr. Gastroenterol. Nutr. 2003; 36: 587–607. [DOI] [PubMed] [Google Scholar]
- 6. Shah A, Morrison M, Holtmann GJ. Gastroduodenal “dysbiosis”: a new clinical entity. Curr. Treat Options Gastroenterol. 2018; 16: 591–604. [DOI] [PubMed] [Google Scholar]
- 7. Ghoshal UC, Sachdeva S, Ghoshal U et al. Asian‐Pacific consensus on small intestinal bacterial overgrowth in gastrointestinal disorders: an initiative of the Indian Neurogastroenterology and Motility Association. Indian J. Gastroenterol. 2022; 41: 483–507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Shah A, Holtmann G. Clinical conditions associated with small intestinal bacterial overgrowth. In: Gastrointestinal Diseases and their Associated Infections. Elsevier Inc., 2019; 67–83. [Google Scholar]
- 9. Riordan SM, McIver CJ, Wakefield D, Duncombe VM, Thomas MC, Bolin TD. Small intestinal mucosal immunity and morphometry in luminal overgrowth of indigenous gut flora. Am. J. Gastroenterol. 2001; 96: 494–500. [DOI] [PubMed] [Google Scholar]
- 10. Khoshini R, Dai SC, Lezcano S, Pimentel M. A systematic review of diagnostic tests for small intestinal bacterial overgrowth. Dig. Dis. Sci. 2008; 53: 1443–1454. [DOI] [PubMed] [Google Scholar]
- 11. Leite G, Rezaie A, Mathur R et al. Defining small intestinal bacterial overgrowth by culture and high throughput sequencing. Clin. Gastroenterol. Hepatol. 2024; 22: 259–270. [DOI] [PubMed] [Google Scholar]
- 12. Sondheimer JM, Asturias E, Cadnapaphornchai M. Infection and cholestasis in neonates with intestinal resection and long‐term parenteral nutrition. J. Pediatr. Gastroenterol. Nutr. 1998; 27: 131–137. [DOI] [PubMed] [Google Scholar]
- 13. Cole CR, Frem JC, Schmotzer B et al. The rate of bloodstream infection is high in infants with short bowel syndrome: relationship with small bowel bacterial overgrowth, enteral feeding, and inflammatory and immune responses. J. Pediatr. 2010; 156: 941–947.e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Kaufman SS, Loseke CA, Lupo JV et al. Influence of bacterial overgrowth and intestinal inflammation on duration of parenteral nutrition in children with short bowel syndrome. J. Pediatr. 1997; 131: 356–361. [DOI] [PubMed] [Google Scholar]
- 15. Quigley EMM, Quera R, Abu‐Shanab A. The enteric flora in intestinal failure. Intestinal Failure 2008: 167–184. [Google Scholar]
- 16. Gatta L, Scarpignato C. Systematic review with meta‐analysis: rifaximin is effective and safe for the treatment of small intestine bacterial overgrowth. Aliment. Pharmacol. Ther. 2017; 45: 604–616. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Moher D, Liberati A, Tetzlaff J, Altman DG, for the PRISMA Group . Preferred reporting items for systematic reviews and meta‐analyses: the PRISMA statement. BMJ 2009; 339: b2535. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Shah A, Jones MP, Holtmann GJ. Basics of meta‐analysis. Indian J. Gastroenterol. 2020; 39: 503–513. [DOI] [PubMed] [Google Scholar]
- 19. Munn Z, Moola S, Lisy K, Riitano D, Tufanaru C. Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data. Int. J. Evid. Based Healthc. 2015; 13: 147–153. [DOI] [PubMed] [Google Scholar]
- 20. Hozo SP, Djulbegovic B, Hozo I. Estimating the mean and variance from the median, range, and the size of a sample. BMC Med. Res. Methodol. 2005; 5: 13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med. Res. Methodol. 2014; 14: 135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. DerSimonian R, Laird N. Meta‐analysis in clinical trials. Control. Clin. Trials 1986; 7: 177–188. [DOI] [PubMed] [Google Scholar]
- 23. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta‐analysis. Stat. Med. 2002; 21: 1539–1558. [DOI] [PubMed] [Google Scholar]
- 24. Egger M, Davey Smith G, Schneider M et al. Bias in meta‐analysis detected by a simple, graphical test. BMJ 1997; 315: 629–634. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Engstrand Lilja H, Wefer H, Nyström N, Finkel Y, Engstrand L. Intestinal dysbiosis in children with short bowel syndrome is associated with impaired outcome. Microbiome 2015; 3: 18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Galloway D, Mezoff E, Zhang W et al. Serum unconjugated bile acids and small bowel bacterial overgrowth in pediatric intestinal failure: a pilot study. JPEN. J. Parenter. Enteral Nutr. 2019; 43: 263–270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Gutierrez IM, Kang KH, Calvert CE et al. Risk factors for small bowel bacterial overgrowth and diagnostic yield of duodenal aspirates in children with intestinal failure: a retrospective review. J. Pediatr. Surg. 2012; 47: 1150–1154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Culbreath K, Knell J, Keefe G et al. Antibiotic therapy for culture‐proven bacterial overgrowth in children with intestinal failure results in improved symptoms and growth. J. Pediatr. Gastroenterol. Nutr. 2022; 75: 345–350. [DOI] [PubMed] [Google Scholar]
- 29. McGrath KH, Pitt J, Bines JE. Small intestinal bacterial overgrowth in children with intestinal failure on home parenteral nutrition. JGH Open 2019; 3: 394–399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Dibaise JK, Young RJ, Vanderhoof JA. Enteric microbial flora, bacterial overgrowth, and short‐bowel syndrome. Clin. Gastroenterol. Hepatol. 2006; 4: 11–20. [DOI] [PubMed] [Google Scholar]
- 31. Belza C, Betts Z, de Silva N, Avitzur Y, Wales PW. Factors related to the development of small‐bowel bacterial overgrowth in pediatric intestinal failure: a retrospective cohort study. JPEN. J. Parenter. Enteral Nutr. 2020; 44: 1280–1284. [DOI] [PubMed] [Google Scholar]
- 32. Shah A, Ghoshal UC, Holtmann GJ. Unravelling the controversy with small intestinal bacterial overgrowth. Curr. Opin. Gastroenterol. 2023; 39: 211–218. [DOI] [PubMed] [Google Scholar]
- 33. Ghoshal UC, Sachdeva S, Ghoshal U et al. Asian‐Pacific consensus on small intestinal bacterial overgrowth in gastrointestinal disorders: an initiative of the Indian Neurogastroenterology and Motility Association. Indian J. Gastroenterol. 2022: 1–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Pimentel M, Saad RJ, Long MD, Rao SSC. ACG clinical guideline: small intestinal bacterial overgrowth. Am. J. Gastroenterol. 2020; 115: 165–178. [DOI] [PubMed] [Google Scholar]
- 35. Su T, Lai S, Lee A, He X, Chen S. Meta‐analysis: proton pump inhibitors moderately increase the risk of small intestinal bacterial overgrowth. J. Gastroenterol. 2018; 53: 27–36. [DOI] [PubMed] [Google Scholar]
- 36. Laine L, Ahnen D, McClain C et al. Review article: potential gastrointestinal effects of long‐term acid suppression with proton pump inhibitors. Aliment. Pharmacol. Ther. 2000; 14: 651–668. [DOI] [PubMed] [Google Scholar]
- 37. Weitsman S, Celly S, Leite G et al. Effects of proton pump inhibitors on the small bowel and stool microbiomes. Dig. Dis. Sci. 2022; 67: 224–232. [DOI] [PubMed] [Google Scholar]
- 38. Shah A, Talley NJ, Jones M et al. Small intestinal bacterial overgrowth in irritable bowel syndrome: a systematic review and meta‐analysis of case‐control studies. Am. J. Gastroenterol. 2020; 115: 190–201. [DOI] [PubMed] [Google Scholar]
- 39. Shah A, Talley NJ, Holtmann G. Current and future approaches for diagnosing small intestinal dysbiosis in patients with symptoms of functional dyspepsia. Front. Neurosci. 2022; 16: 830356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Shah A, Thite P, Hansen T et al. Links between celiac disease and small intestinal bacterial overgrowth: a systematic review and meta‐analysis. J. Gastroenterol. Hepatol. 2022; 37: 1844–1852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Gandhi A, Shah A, Jones MP et al. Methane positive small intestinal bacterial overgrowth in inflammatory bowel disease and irritable bowel syndrome: a systematic review and meta‐analysis. Gut Microbes 2021; 13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Grace E, Shaw C, Whelan K, Andreyev HJN. Review article: small intestinal bacterial overgrowth‐‐prevalence, clinical features, current and developing diagnostic tests, and treatment. Aliment. Pharmacol. Ther. 2013; 38: 674–688. [DOI] [PubMed] [Google Scholar]
- 43. Song JW, Chung KC. Observational studies: cohort and case‐control studies. Plast. Reconstr. Surg. 2010; 126: 2234–2242. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Figure S1: Search strategy for MEDLINE.
Figure S2: Forest plot of studies showing prevalence of SIBO in patients with IF, on parenteral nutrition (PN) 74.9% (95%CI 59.8–85.6, P = 0.002), (I2 = 35.5, P = 0.157).
Figure S3: Forest plot of studies showing prevalence of SIBO in patients with IF, due to short bowel syndrome (SBS) 49.0% (95%CI 33.8–64.5, P = 0.904), (I2 = 73.4, P = 0.005).
Figure S4: Forest plot of studies showing prevalence of SIBO in patients with IF, including only high‐quality studies 66.1% (95%CI 54.9–75.8, P = 0.006), (I2 = 58.2, P = 0.067).
Figure S5: Forest plot of studies showing prevalence of SIBO in patients with IF, without an intact ileo‐cecal valve (ICV) compared to those with an ICV (OR = 1.7, 95%CI 0.8–3.6, P = 0.174), (I2 = 10.0, P = 0.343).
Table S1: Eligibility criteria for the studies included in systematic review and meta‐analysis.
Table S2: Assessment of risk factors for SIBO in patients with IF in the studies included in the systematic review and meta‐analysis.
Table S3: Assessment of cut off criteria for diagnosing SIBO in patients with IF.
Table S4: Joanna Briggs Institute (JBI) Critical Appraisal Tools for assessment of quality of cohort studies and the case groups of the case–control studies included in the systematic review and meta‐analysis.
Table S5: Studies assessing the effect of proton pump inhibitor (PPI) on small intestinal bacterial overgrowth (SIBO) prevalence in patients with intestinal failure (IF).
Table S6: Composition of small bowel aspirate in patients with intestinal failure (IF) diagnosed with small intestinal bacterial overgrowth (SIBO), using a cut‐off threshold of 105 colony forming units/milliliter.
Table S7: Predominant gastrointestinal symptoms in patients with intestinal failure (IF) with small intestinal bacterial overgrowth (SIBO).
Table S8: Studies assessing the prevalence of small intestinal bacterial overgrowth (SIBO) in patients with intestinal failure (IF) according to anatomy.
Table S9: Studies assessing the prevalence of small intestinal bacterial overgrowth (SIBO) in patients with intestinal failure (IF) according to anatomy.
Table S10: Studies assessing the prevalence of small intestinal bacterial overgrowth (SIBO) in patients with intestinal failure (IF) according to anatomy and outcomes.
Data Availability Statement
Aggregate, rather than individual‐level, data were included in these analyses from published manuscripts and conference publications, which are publicly available.
