Literature DB >> 30659992

Association Between Helicobacter pylori Exposure and Decreased Odds of Eosinophilic Esophagitis-A Systematic Review and Meta-analysis.

Shailja C Shah1, Adam Tepler2, Richard M Peek3, Jean-Frederic Colombel4, Ikuo Hirano5, Neeraj Narula6.   

Abstract

BACKGROUND & AIMS: Previous or current infection with Helicobacter pylori (exposure) has been reported to protect against eosinophilic esophagitis (EoE), perhaps owing to H pylori-induced immunomodulation. However, findings vary. We performed a systematic review and meta-analysis of comparative studies to define the association between H pylori exposure and EoE more clearly.
METHODS: We searched 4 large databases to identify comparative clinical studies that included sufficient detail to determine the odds or risk of EoE (primary outcome) or esophageal eosinophilia (secondary outcome) among individuals exposed to H pylori (exposed) vs individuals who were tested and found to be unexposed. Estimates were pooled using a random-effects model. Meta-regression and sensitivity analyses were planned a priori. Studies were evaluated for quality, risk of bias, publication bias, and heterogeneity.
RESULTS: We analyzed 11 observational studies comprising data on 377,795 individuals worldwide. H pylori exposure vs nonexposure was associated with a 37% reduction in odds of EoE (odds ratio, 0.63; 95% CI, 0.51-0.78) and a 38% reduction in odds of esophageal eosinophilia (odds ratio, 0.62; 95% CI, 0.52-0.76). Fewer prospective studies found a significant association between H pylori exposure and EoE (P = .06) than retrospective studies. Effect estimates were not affected by study location, whether the studies were performed in pediatric or adult populations, time period (before vs after 2007), or prevalence of H pylori in the study population.
CONCLUSIONS: In a comprehensive meta-analysis, we found evidence for a significant association between H pylori exposure and reduced odds of EoE. Studies are needed to determine the mechanisms of this association.
Copyright © 2019 AGA Institute. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Allergy; Bacteria; Digestive System; Immune System Diseases

Mesh:

Year:  2019        PMID: 30659992      PMCID: PMC7354099          DOI: 10.1016/j.cgh.2019.01.013

Source DB:  PubMed          Journal:  Clin Gastroenterol Hepatol        ISSN: 1542-3565            Impact factor:   11.382


INTRODUCTION

Eosinophilic esophagitis (EoE) is a chronic, often times progressive, immune- and allergen-mediated condition defined by a threshold level of mucosal eosinophilic infiltration (≥15 eosinophils per high-power field (Eos/hpf)) in the esophagus along with symptoms of esophageal dysfunction, such as dysphagia or food impaction. While the first cases of EoE were described over a half-century ago[1,2], formal recognition of EoE as a disease entity only occurred in the mid-1990s. Over the past several decades, substantial progress has been made in our understanding of the pathophysiology of EoE; however, less is understood about predisposing and protective determinants for the disease. Indeed, both the incidence and prevalence of EoE are rapidly increasing and there is no disputing that the rate well exceeds that attributable merely to increased case-finding and detection bias.[3-5] The rate of increase over a short period of time strongly implicates environmental factors and gene-environment interactions, as opposed to genetic factors alone. Thus, now more than ever, investigation into disease determinants is needed, particularly those which are modifiable. Helicobacter pylori remains the most common chronic bacterial infection worldwide, with marked regional and ethnic variations in prevalence. The formal discovery of H pylori in the 1980s and the subsequent discovery that H pylori causes gastric adenocarcinoma in a small minority of infected individuals, led to eradication campaigns in some areas where gastric cancer is endemic. Eradication efforts coupled with industrialization, improved sanitation, and water conditions heralded a decreasing prevalence of H pylori, which corresponds temporally and geographically to a rising incidence of EoE and other immune-mediated diseases.[3,6-10] Accumulating experimental and epidemiologic data generally support an inverse relationship between H pylori and inflammatory bowel disease (IBD), asthma, and food allergy.[12-15] H pylori infection often occurs in early childhood and this early immunoregulation and enhanced immunotolerance may plausibly protect against the later development of aberrant Th2-mediated immune responses driving immune-mediated diseases in a susceptible host.[13,15-20] Unfortunately, direct experimental evidence clarifying the role, if any, of H pylori on the development of EoE is lacking. However, indirect evidence from observational studies variably supports an inverse relationship between H pylori and EoE. Most recently, a prospective, multicenter case-control study by Molina-Infante and colleagues found a statistically nonsignificant inverse association between H pylori infection and EoE, thus calling into question the relationship.[22] Our primary objective was to systematically review the literature for comparative studies detailing the risk of EoE in H pylori-exposed compared to non-exposed individuals. Because of anticipated differences in case definition over time, we also secondarily evaluated studies which included patients with esophageal eosinophilia (EE) in the absence of a formal diagnosis of EoE per se.

METHODS:

The current study follows the methodology stipulated in the Cochrane Handbook[24], the PRISMA guidelines[25], and MOOSE guidelines.[26]

Data Sources and Searches

We systematically searched four databases—PubMed, EMBASE, CINAHL, and Web of Science—for relevant literature in conjunction with a certified biomedical librarian at Vanderbilt University (initial search: October 19, 2018). No restrictions were applied based on language, publication date, or peer-reviewed publication type, although we acknowledge that the ability to critically appraise the quality of abstracts and conference abstracts, for example, is limited. Key words searched included: “helicobacter pylori”, “campylobacter pylori”, “helicobacter infections”, “eosinophilic esophagitis”, “esophageal eosinophilia”. The full search strings for each database can be found in the Supplemental material. We also hand-searched references from included studies, as well as relevant review articles and published abstracts.

Inclusion/Exclusion Criteria

All clinical trials (randomized or nonrandomized), cohort (prospective, retrospective), case-control, and cross-sectional studies were considered eligible if they met the following additional criteria: (1) clear definition for eosinophilic esophagitis or esophageal eosinophilia (even if study-specific); (2) comparative study design with distinct comparison between patients with EoE or EE and patients without EoE or EE who had undergone endoscopic evaluation and esophageal biopsies; (3) H pylori testing in both case and comparator groups, along with test results; (4) clear description of demographic details including pediatric versus adult populations; (5) sufficient detail to calculate effect estimates.

Data Extraction

Eligibility assessment and data extraction were carried out independently by S.C.S. and A.T. with discrepancies resolved by a third investigator, N.N. A data collection form was designed by S.C.S. and included the following elements: first author’s last name; publication date; study design; country of origin; study time period; number of patients; study demographics (age, sex, pediatric/adult/both, smoking history, racial/ethnic background); study setting (community-based, hospital-based, multicenter, single-center) and study-specific inclusion/exclusion criteria; H pylori related details (number infected; current vs. former vs. never infection; diagnostic method (e.g. histology, rapid urease test, stool antigen test, etc.); duration of infection; treatment details including antibiotic regimen and eradication success or failure); EoE and EE-related details (age of diagnosis, criteria for diagnosis, clinical symptoms, esophageal findings, presence of other atopic diseases, proton-pump inhibitor (PPI) use and timing of use related to diagnosis, other EoE therapy and response to therapy); endoscopy-related details (indication, number of biopsies, location of biopsies; gross findings) and histologic findings including Eos/hpf. Data extraction was performed in duplicate by S.C.S and A.T.

Primary exposure and outcomes

The primary exposure was H pylori infection (documented as current, former, or current versus former not specified). The primary outcome was EoE. EE was analyzed as a secondary outcome. Study-specific definitions of H pylori exposure, EoE diagnosis, and EE diagnosis were recorded as noted above. Abidance to the strict definition of EoE as ≥15 Eos/hpf on esophageal mucosal biopsies along with esophageal symptoms was documented separately. As detailed below, separate analyses were performed to analyze only those studies adhering to the currently accepted definition of EoE, understanding that there remains controversy regarding the positioning of PPI-responsive EE (PPI-REE).[27]

Quality and Risk of Bias Assessment

Quality assessment was performed independently by S.C.S and A.T. using the Newcastle-Ottawa Scale (NOS)[28] for nonrandomized studies and the Cochrane Risk of Bias tool for randomized trials (although there were no studies fitting the latter category). Discrepancies were resolved by consensus with N.N. For the NOS, studies scored as >/= 7 (of maximum score 9) were considered high-quality, consistent with the literature.[28] Separate NOS rubrics were used for case-control, cohort, and cross-sectional studies (modified NOS cohort rubric).[29]

Qualitative Synthesis and Quantitative Statistical Analysis

Details of each study were summarized. The overall prevalence of H pylori in the study population was recorded. No studies identified reported relative risk. The odds of EoE (primary outcome) or EoE/EE in H pylori exposed versus non-exposed was calculated and reported as odds ratios (ORs) for each individual study. Individual study ORs were combined into a pooled OR (pOR) by using a random effects model. Egger test[30] and a funnel plot were used to assess publication bias for the primary outcome. Heterogeneity was estimated with chi-squared and I2 test statistics. The chi-squared test suggests heterogeneity between studies when the P-value is less than 0.15. We further used I2 cut-offs of <30%, 30–59%, 60–75%, and >75% to for low, moderate, substantial, and considerable heterogeneity, respectively.[31] Based on the availability of appropriate studies and data, the follow meta-regression analyses were planned a priori to adjust for: study type (cohort versus case-control studies, and prospective versus retrospective studies), study geography (based on literature suggesting geographic differences in the association between H pylori and other esophageal symptoms, namely GERD[23]), time period (pre-2007 versus post-2007), pediatric only versus adult only populations, prevalence of H pylori (low prevalence, defined as <20% versus moderate-high prevalence, defined as ≥ 20%), former versus current H pylori infection, PPI therapy versus no PPI therapy, serologic response to H pylori specific virulence factors (e.g. VacA, CagA), and duration of H pylori infection prior to EoE diagnosis (or matched time point in comparator group). All analyses were performed with RevMan 5.1 (Review Manager Version 5.1, Copenhagen, Denmark) and Comprehensive MetaAnalysis (version 2.0; Biostat, Englewood, NJ).

RESULTS

After removal of duplicates, our search yielded 291 results: EMBASE (123), Web of Science (97), PubMed (64), CINAHL (7). A total of 259 articles were excluded for irrelevance based on title and abstract screening. The full texts of the remaining 32 articles were reviewed for eligibility, along with full reference lists. Only one relevant abstract was identified, but these same data were subsequently published as full text and thus only the latter was included[32]; no brief reports or other alternate publication types were identified. From 32 full-text articles reviewed, 21 were excluded for the reasons detailed in the flow diagram (Figure 1). One additional article was identified from search of reference lists and the full text was reviewed; however, this study was excluded because of lack of H pylori testing in the comparator group.[33] Thus, a total of 11 articles were eligible for analyses.
Figure 1:

PRISMA diagram of study selection

Characteristics of included studies (Table 1)

All included studies were observational; no interventional studies were identified. Two studies were cohort[34,35], 3 studies were cross-sectional[36-38], and 6 studies were case-control[22,32,39-42]. Only one study encompassed a time period prior to 2000 (1989–2000)[35]; otherwise, all studies included data from 2000 onwards when explicitly stated. One cross-sectional[38] and one case-control study[42] included East Asian populations, while four studies were from the US, two from Sweden, one each from Germany and Australia, and one multicenter study that included centers from Spain, Italy, France, and Colombia.[22] Four studies were population-based, including 2 from a nationwide pathology database.[32,36,38,40] We confirmed that the Dellon et al.[32] and Sonnenberg et al.[40] studies were conducted using the same pathology database; the different names in the respective publications (Caris Life Sciences and Mirica Life Sciences) reflect the change in ownership. Because it is impossible to determine the degree of overlap between the two study populations, we performed a sensitivity analysis removing the Dellon et al. study, since the study time period (2008–2010) was included within the Sonnenberg et al. study (2008–2015). Additional details of the included study populations are detailed in Table 1.
Table 1:

Study Characteristics, Diagnostic Terminology, and Endoscopic Protocols

Author, YearStudy DesignCountry or RegionStudy PeriodDefinition of CasesDefinition of ComparatorsEndoscopic ProtocolEoE Therapy[a]Primary Study Objective
CROSS-SECTIONAL AND COHORT STUDIES
Cheung, 2003Retrospective cohort; Single-CenterMelbourne, Australia1989–2000EoE: dysphagia and >20 Eos/hpfDysphagia and ≤5 Eos/hpfAll had biopsies of lower esophagus, gastric body, antrum, and the third part of the duodenum. Most had biopsies from upper and middle esophagus as wellUnknownTo characterize EoE by comparison with those who presented with dysphagia, but had little or no eosinophilic infiltration in the esophagus
Norder, 2018Prospective cohort; Single-CenterSweden2009–2014EoE: history of esophageal dysfunction and ≥15 Eos/hpfGERD: typical symptoms, had endoscopic and/or histopathologic esophagitis and <15 Eos/hpfDiagnostic biopsies, and 2 bacterial samples 2cm above the Z-line, biopsies repeated at the proximal esophagus 5 cm below the upper esophageal sphincter, as well as brush samples and two biopsies from the buccal mucosa2 weeks off of PPI prior to biopsiesTo compare the microbiome of the esophagus in subjects with GERD and EoE
Ronkainen, 2006Prospective; Cross-Sectional; Single-CenterSweden1998EE: >0 Eos/hpf0 Eos/hpfAt least two biopsy samples were taken from the following locations in the esophagus: 2 cm above the Z-line, at the Z-line, and any abnormal areasUnknownTo assess the prevalence of EoE and the presence of eosinophils in the distal esophagus, and determine the association with upper GI symptoms
Sealock, 2013Prospective; Cross-Sectional; Single-CenterUnited StatesNot statedEE: >15 Eos/hpf; EoE (definite): EE + esophageal symptoms + acid suppression meds EoE (probable): EE + either esophageal symptoms OR acid suppression meds≤15 eos/hpf≥1 esophageal 2–3 cm above the normal SCJ, and biopsies from suspected Barrett’s esophagus and multiple gastric biopsiesVariableTo determine the prevalence and risk factors of EE with or without EoE
Ma, 2015Prospective; Cross-sectional (Population-based)ChinaNot statedEE: >0–15 Eos/hpf0 Eos/hpfAt least 4 esophageal biopsies from 0.5cm above the Z-line and any abnormal areasUnknownTo describe features of esophageal eosinophilia and eosinophilic esophagitis in a representative sample of adults in Shanghai, China
CASE-CONTROL STUDIES
Dellon, 2011Retrospective; Case-control; Multicenter (pathology database)United States2008–2010EE: ≥15 Eos/hpf; EoE: EE + clinical suspicion for EoE and no reflux or BE<15 Eos/hpfEsophageal and gastric biopsiesUnknownTo investigate the association between EE and H. pylori infection
Furuta, 2013Retrospective, Case-Control; Single centerJapan2010–2011EoE: history of EoE (defined by esophageal dysfunction and ≥15 Eos/hpf)Age and gender matched, normal patients, without history of EoE, presenting for annual check-up.Not statedUnknownTo investigate the effect of H. pylori infection on EoE and eosinophilic gastroenteritis in Japanese patients
Elitsur, 2014Retrospective, (nested) case-control; Single centerUnited States2007–2012EoE: ≥15 Eos/hpf (presence of esophageal symptoms not specifically stated)<15 Eos/hpfEsophageal biopsies (distal – 3; mid – 3 when EoE was suspected); stomach (antrum – 4 for histology, two for rapid urease test, body – 2); 2 from the duodenal bulb, and 2 from the 2nd part of duodenumAll had failed PPI therapyTo investigate the association between H. pylori infection and EoE in children
von Arnim, 2016Retrospective, Case-Control; Single CenterGermanyNot statedEoE: >15 Eos/hpf + Esophageal symptomsNormal controls: age and sex matched controls without EoE, presenting to the ER 2009–2010.2 biopsies from distal (3–5 cm above GEJ) and 2 from the proximal esophagusUnknownTo assess if H. pylori infection is associated with a reduced risk of developing EoE
Sonnenberg2017Retrospective, Case-Control; Multicenter (pathology database)United States2008–20153 definitions, variable certainty:

>15 Eos/hpf + dysphagia

>15 Eos/hpf + dysphagia, and exclusion of GERD/reflux esophagitis, BE, eosinophilic gastroenteritis, IBD, or other etiologies for eosinophilia

>50 Eos/hpf and exclusion of other causes listed in #2

No histologic abnormalitiesEsophageal and gastric biopsiesUnknownTo investigate the influence of H. pylori on the ethnic variation of esophageal eosinophilia
Molina-Infante, 2018Prospective, Case-Control; MulticenterSpain, Italy, France, Colombia2014–2017EoE: Esophageal symptoms and ≥15 Eos/hpfEsophageal symptoms and <5 Eos/hpf (age-, sex-matched)≥6 biopsies each from distal and proximal esophagusNaïveTo determine the association of H. pylori and EoE

Abbreviations: BE, Barrett’s esophagus; ER, emergency room; Eos, eosinophils; EoE, eosinophilic esophagitis; EE, esophageal eosinophilia; EGD, esophagogastroduodenoscopy; GEJ, gastroesophageal junction; GERD, gastroesophageal reflux disease; hpf, high-power field; IBD, inflammatory bowel disease; PPI, proton-pump inhibitor

Acid suppression, topical steroids, other if listed

H pylori-related details

The overall prevalence of H pylori in the pooled study population (i.e. all tested individuals) from cohort and cross-sectional studies was 8.9% (N=5534/62,035), and ranged from a low of 7.0% in the individual studies by Dellon et al. (US)[32] to a high of 71.8% in the study by Ma, et al. (China).[38] H pylori prevalence was 7.0% (N=179/2543) versus 9.0% (N=5355/59492) in EoE cases versus non EoE comparators. Current versus former H pylori infection was not readily discernible in the studies, as variable methods of testing for H pylori were used and the testing modality with respect to EoE or EE diagnosis was not consistently explicitly stated (thus precluding meta-regression according to current versus former infection). Other details that were not available in any study included duration of H pylori infection prior to EoE/EE diagnosis or matched time point in controls and H pylori-specific virulence factors (e.g. CagA, VacA). Studies variably reported eradication therapy for H pylori and no studies reported eradication success or failure, nor the effect of H pylori therapy on EoE/EE diagnosis or related outcomes. Thus, meta-regression and subanalyses for these categories were not possible.

Eosinophilic Esophagitis and Esophageal Eosinophilia-related details

Nine of the 11 studies defined EoE as ≥15 Eos/hpf (one study >20 Eos/hpf) and esophageal symptoms (see Table 1). Acid-suppressive therapy with PPI was variably reported, and only one study stated failure of PPI therapy.[39] One study’s protocol explicitly stated that biopsies were obtained with patients off of PPI therapy for 2 weeks prior to endoscopy.[34] Details regarding other EoE therapy were not consistently provided in studies, but these data were abstracted whenever available (Table 2). Endoscopic protocols, when described, were also variable in terms of the number and location of biopsies (Table 2).
Table 2:

H. pylori prevalence in patients with eosinophilic esophagitis or esophageal eosinophilia versus comparator group

Author, YearStudy Population, NAge; Pediatric vs. Adult vs. BothCases[a], N [EoE, unless stated as EE]Comparator, NH. pylori-positiveH. pylori-negativeNaïve to H. pylori therapy (yes, no, unknown)Method(s) of H. pylori diagnosisCurrent vs. Former Infection
Cases, N(%)Comp., N (%)Overall, N(%)Cases, N(%)Comp., N (%)Overall, N(%)
CROSS-SECTIONAL AND COHORT STUDIES
Cheung, 200342Pediatric21211/21 (4.8%)2/21 (9.5%)3/42 (7.1%)20/21 (9.5%)19/21 (90.5%)39/42 (92.9%)UnknownUnknownUnknown
Norder, 201827[f]Adult9140/9 (0.0%)2/14 (14.3%)2/23 (8.7%)9/9 (88.9%)12/14 (85.7%)20/23 (87.0%)UnknownA Campylobacter-like organism (CLO) test (rapid urease test for CLOs, Ballard Medical Products, Draper, UT) was performed on gastric biopsy samples.Unknown
Ronkainen, 20061000AdultEE: 489528/48 (1.7%)331/952 (34.8%)339/1000 (33.9%)40/48 (83.3%)621/952 (65.2%)661/1000 (66.1%)UnknownHistology of gastric biopsy with the Warthin-Starry silver stain as well as culture.Unknown
Dellon, 2011165017Both (Majority adult; 2.1% <18yo)EE[a]:576756301326/5767 (5.7%)4048/56301 (7.2%)4374/62068 (7.0%)5441/5767 (94.3%)52253/56301 (92.8%)57694/62068 (93.0%)UnknownHistologic antibody staining (gastric biopsy) with concomitant chronic and/or active inflammation in the gastric mucosaUnknown
EoE: 236756301121/2367 (5.1%)4048/56301 (7.2%)4169/58668 (7.1%)2246/2367 (94.9%)52253/56301 (92.8%)54499/58668 (92.9%)
Sealock, 20131357[b]AdultEE: 33[c]13243/31 (9.7%)285/1250 (22.8%)288/1281 (22.5%)28/31 (90.3%)965/1250 (77.2%)993/1281 (77.5%)VariableHistological diagnosis (gastric biopsies), or if review of the medical record showed a previous positive biopsy, presence of serum antibodies, or treatment receivedUnknown
Ma, 20151021AdultEE: 6795446/67 (68.7%)687/954 (72.0%)733/1021 (71.8%)21/67 (31.3%)267/954 (28.0%)288/1021 (28.2%)UnknownSerum H. pylori antibodies were determined using IgG enzyme linked immunosorbent assay (ELISA)Unknown
CASE-CONTROL STUDIES
Furuta, 2013160Not stated18544/18 (22.2%)30/54 (55.6%)34/72 (47.2%)14/18 (77.7%)24/54 (44.4%)38/72 (52.8%)UnknownSerum anti-H. pylori antibody were measured using EIAUnknown
Elitsur, 2014966Pediatric629041/62 (1.6%)30/904 (3.3%)31/966 (3.2%)61/62 (98.4%)874/904 (96.7%)935/966 (96.8%)UnknownDiagnosed with positivity of both histology (H&E and Giemsa staining), and rapid urease test (CLO).Unknown
von Arnim, 2016174Adult581168/58[d] (13.8%)44/116 (37.9%)52/174 (29.9%)50/58 (86.2%)72/116 (62.0%)122/174 (70.1%)Variable[d]H. Pylori serologyBoth
Sonnenberg, 2017596479Both25969[e]2845521156/25969 (4.5%)20683/284552 (7.3%)21839/310521 (7.0%)24813/25969 (95.5%)263869/284552 (92.7%)288682/310521 (93.0%)UnknownHistologic H. pylori staining as well as signs of chronic and/or active inflammation in gastric mucosaUnknown
Molina-Infante, 2018808Both404404151/404 (37.4%)161/404 (39.9%)312/808 (38%)253/404 (62.6%)243/404 (60.1%)496/808 (62%)Yes13C-urea breath test (UBT), monoclonal stool antigen test, or rapid urease test or histology collected by endoscopyUnknown

See definitions in Table 1 for each study

76 subjects not tested for H. pylori, thus denominator for calculations is 1281

Case defined by EE. Number of H. pylori positive patients could not be determined for EoE (probable or definite).

8 total H. pylori positive subjects included 5 subjects with prior infection and eradication.

Includes all patients with at least dysphagia and ≥15 Eos/hpf (of these, 11,915 and 6,708 patients met the stricter criteria for group 2 and group 3 categorization as defined in Table 1)

4 subjects did not have H. pylori testing, thus denominator for calculations is 23

H pylori status and Risk of Eosinophilic Esophagitis (primary outcome) or Esophageal Eosinophilia (secondary outcome)

H pylori exposure was associated with a 37% lower odds of EoE (OR 0.63, 95% CI: 0.51–0.78), based on 8 studies (Figure 2). Although 9 of the 11 studies explicitly defined EoE as ≥15 Eos/hpf (one study >20 Eos/hpf) and esophageal symptoms, Sealock et al. reported H pylori information only according to EE status; thus, only 8 of 11 studies were included in the analysis of H pylori and risk of EoE according to a strict definition. Removing this study from the primary analysis did not alter the effect estimate. Based on meta-regression, there was no significant difference in effect estimates between cohort studies and case-control studies (Supplemental Figure 4a, P=0.63). The magnitude and direction of the protective effect estimate of H pylori exposure was unchanged (OR 0.62, 95%CI: 0.52–0.76) when we included the three studies[36-38] that reported risk of EE only, as opposed to EoE by strict diagnostic criteria (Figure 3).
Figure 2:

Odds of eosinophilic esophagitis in H pylori exposed versus non-exposed individuals

Figure 3:

Odds of eosinophilic esophagitis or esophageal eosinophilia in H pylori exposed versus non-exposed individuals, pooled odds ratio

Notably, performing sensitivity analyses by removing the Dellon et al. study from both the primary and secondary analyses (as well as meta-regression analyses where appropriate) did not significantly affect the outcomes, other than slightly increasing the magnitude of protective benefit. H pylori exposure was associated with a 43% lower odds of EoE (OR 0.57, 95% CI: 0.40–0.80) or a 42% (OR 0.58, 95% CI: 0.44–0.76) lower odds of EoE/EE compared to non-exposed individuals. (Supplemental Figures 1 and 2).

Additional analyses (meta-regression analyses)

Meta-regression analyses revealed that study geography (US-based studies versus non-US studies, P=0.26), pediatric only versus adult population (P=0.93), time period of patient recruitment (pre-2007 versus post-2007, P=0.18), and H pylori prevalence of the study population (low versus moderate-high prevalence, P=0.58) did not influence the effect estimates (see Supplemental Figures 4b–4e); that is, the magnitude of the protective effect of H pylori exposure on subsequent odds of EoE (or EoE/EE) was stable in each meta-regression analysis. Meta-regression analysis was also performed to adjust for studies done prospectively versus retrospectively. A statistically nonsignificant trend was seen in the effect estimates between these study types, with prospective studies less likely to show a significant association between H pylori exposure and EoE (P=0.06) (Figure 4). As noted above, data were either not available or there were too few studies to perform additional subanalyses. For example, while there were two studies performed in East Asian populations, meta-regression for Eastern versus Western geography could not be performed since one was a cross-sectional study[38] and the other a case-control study.[42]
Figure 4:

Meta-regression analysis showing the difference in effect estimates between prospective and retrospective study designs, with prospective studies less likely to show an association between H pylori exposure and eosinophilic esophagitis

Publication bias and heterogeneity

A funnel plot was generated to assess for publication bias. The symmetric distribution of this plot suggested no publication bias (Supplemental Figure 3). Egger’s test confirmed no publication bias (P-value=0.77). Statistical tests of heterogeneity demonstrated moderate heterogeneity for our primary outcome analysis (I2 = 57.9%, chi-squared test P=0.02) and substantial heterogeneity for the secondary outcome analysis (I2 = 69.3%, chi-squared test P<0.001). Removing the Dellon et al. study from the analyses improved the heterogeneity estimates for the secondary analysis (I2 =50.6%), which was downgraded from substantial to moderate heterogeneity, but did not substantially affect the primary analysis estimate (I2 = 58.5%).

Risk of Bias Assessment according to the Newcastle Ottawa Scale (NOS)

All case-control and cross-sectional studies were rated as high-quality. The two cohort studies[34,35] were rated fair-quality, mainly driven by insufficient data for adequate assessment of the comparability parameter. (Supplemental Table 1a and 1b) Removing these two studies and performing a sensitivity analysis limited to only high-quality studies based on NOS score ≥6 did not alter our findings. (Supplemental Figure 5).

DISCUSSION

In this meta-analysis of nearly 378,000 people tested for H pylori, we found that H pylori exposure was associated with a lower likelihood of EoE (and EoE/EE). The directionality of association was consistently observed across pediatric only versus adult populations, US versus non-US geography, low versus moderate-high H pylori prevalence areas, and time period of patient recruitment. Notably, the magnitude and directionality of the protective association between H pylori and EoE was preserved independent of cohort versus case-control study design, although there was a trend towards prospective studies being less likely to demonstrate this association. We acknowledge heterogeneity with respect to some definitions, H pylori testing modality, treatment details, and endoscopic protocols; however, these would expectedly result in nondifferential misclassification and bias towards a null association between H pylori and EoE. EoE represents a major health burden both in terms of patient morbidity and cost to the healthcare system, with a recent population-based analysis estimating that EoE accounts for $1.4 billion of healthcare spending annually.[43] Rates of EoE, among other immune-mediated diseases, continue to escalate not only in Western industrialized countries but also in geographic locations such as East Asia and countries with recently developed economies, where the disease was previously nonexistent.[3] The sharp trajectory suggests that a relatively abrupt change in environmental exposures is most responsible for the observed trend, as opposed to a shift in genetic predisposition; this is further supported by twin and familial studies showing that shared environmental exposures more so than genetic factors explain the heritability of EoE.[44] Elucidating environmental protective and predisposing determinants potentially offers mechanistic clues that, ideally, can be leveraged for prevention and treatment. Substantive epidemiologic data, including the present comprehensive analysis, and indirect evidence in experimental models of other immune- and allergic-mediated disease implicate H pylori as a protective factor. H pylori has co-evolved with humans for over 100,000 years[45,46] and some protective benefit is evolutionarily expected. Two separate population-based analyses from the US[47] and the Netherlands[48] place the time period for the change in environmental exposure about 40–50 years ago, which corresponds to decreasing H pylori rates as a result of active eradication efforts and industrialization. Operating under the ‘hygiene hypothesis’, factors such as improved socioeconomic status, sanitation efforts, cleaner water sources, and industrialization are cited as leading factors underlying the rise in immune-mediated and allergic diseases, with H pylori argued to be merely a surrogate of these factors. While certainly contributory, these factors are unlikely to fully account for the inverse association between H pylori and EoE, as this association was preserved among Western industrialized countries, post-2007, and irrespective of baseline H pylori prevalence in our study, even after performing a sensitivity analysis removing the Dellon et al. study to account for the potential of overlapping cases with the Sonnenberg et al. study. However, our conclusions do differ from the recent prospective, multicenter case-control study by Molina-Infante and colleagues, which found a null association between H pylori and EoE (OR 0.97, 95% CI: 0.73–1.30) based on 808 patients. As the first prospective case-control study on this topic, their study had other strengths in addition to the prospective study design and multicenter recruitment, such as inclusion of only patients with EoE who were naïve to therapy (e.g. PPI), a standardized endoscopic and biopsy protocol, and testing for H pylori off PPI therapy. That said, it is plausible that bias might at least partially account for the null findings, as control patients were selected based on esophageal symptoms, and many also more commonly had esophageal pathology, such as reflux esophagitis. This is relevant because H pylori has been inversely associated with GERD and presence and severity of erosive esophagitis.[49,50] Ultimately, it remains inconclusive as to whether infection with H pylori itself biologically protects against EoE. Our meta-analysis findings that support a protective benefit of H pylori exposure against EoE and thus oppose the findings of the only prospective case-control study highlight the need not only for additional large, prospective investigations, but also for investigations to define mechanisms underlying these observations. Indeed, experimental data support the protective immunoregulatory phenotype of H pylori.[13,16-20] This protection occurs through H pylori-induced alterations in signaling pathways that are similarly implicated in IBD, asthma, and allergy, such as attenuation of inflammatory Th1 and Th17 signaling pathways with or without upregulation of Th2 or T-regulatory pathways.[13,17,20] Preliminary data further implicate specific H pylori proteins, including CagA, VacA and gamma-glutamyl transpeptidase.[15,51-54] Unfortunately, no included studies specifically reported serologic responses to H pylori specific proteins. Timing of H pylori exposure might also be an important mediator of protection. At least in experimental models of allergy, neonatal H pylori exposure conferred the highest immunotolerance.[17,55] No studies commented on the duration of H pylori infection, so we were unable to evaluate the impact of timing of H pylori exposure and magnitude of protection against EoE. We do acknowledge that temporal relationship cannot be definitively established from our study. That said, primary H pylori infection most often occurs during early childhood, particularly in endemic areas, with incidence rates of infection as an adult estimated to be <1% per year.[56-58] While adjustment for studies with pediatric only versus adult only populations did not alter our effect estimate significantly, insufficient power is a consideration since only two studies were performed exclusively in pediatric populations (0.3% of our study population, N=1008/377,975). A prospective study detailing timing of H pylori infection and cumulative exposure on risk of subsequent EoE, while the ideal study, is of course logistically limited by time, resources, and the rarity of EoE as an outcome (and potentially an even rarer outcome with H pylori exposure). The present study has several strengths, including a large sample size across multiple geographies, comprehensive search strategy, and several relevant meta-regression analyses and sensitivity analyses, with consistent results overall and moderate heterogeneity. By including only patients who had undergone H pylori testing, we limited indication bias. Apart from inherent limitations of meta-analyses, our study has the following additional limitations. The lack of information on medication, and specifically PPI use at the time of endoscopy is a potential confounder for the two studies that reported data based on a US population-based pathology database[32,40]. Between 2008–2015, the time period of enrollment for these studies, many US practitioners prescribed PPIs, which could suppress detection of H pylori[59], as first-line therapy for suspected EoE and which potentially could also increase the falsely negative diagnoses of EoE. Differences in biopsy protocol might also contribute to differences in sensitivity of H pylori detection and false negative diagnoses. Secondly, we were unable to account for potential confounders including socioeconomic status and early life exposures, although we would expect any unmeasured confounders to bias towards a null association between H pylori and EoE. Interestingly, we did not see a difference in our effect estimates between low and moderate-high prevalence H pylori populations, populations which presumably would have different environmental exposures. Of note, several studies found a very low prevalence of H pylori overall, which was universally lower in patients with versus without EoE (or EE) (Table 1). The two population-based studies from a large US pathology database reported an overall H pylori prevalence of approximately 7%, which is significantly lower than estimates for the US based on a recent comprehensive meta-analysis of global H pylori prevalence (pooled prevalence for general US population 35.6%, 95% CI: 30.0% – 41.1%).[11] The reasons for this discrepancy are unclear, but might reflect the combination of lack of data on PPI use, variability in biopsy protocol and sensitivity of H pylori detection, perhaps on the background of decreasing H pylori prevalence, as has been described for developed countries.[22,60-62] Thirdly, we are unable to determine the effect of active versus former infection or the effect of H pylori treatment on risk of EoE (which relates to the timing of infection and duration of cumulative H pylori exposure). Nine of the included studies did not specifically state if H pylori eradication therapy had been previously prescribed, but three of these studies did include H pylori serologic analysis, which would detect previous H pylori exposure and thus potentially a more immunotolerant phenotype and lower risk of EoE. In conclusion, by performing a meta-analysis of 11 observational studies, we found that H pylori might be associated with decreased odds of EoE, an observation which was preserved across geographies, H pylori prevalence, pediatric versus adult populations, patient recruitment time period and primary study design. The limitations we have noted are difficult to overcome with observational study designs, particularly those constructed retrospectively. While robust prospective trials are ideal, these are logistically limited. Studies in experimental models of EoE would further clarify the putative role of H pylori in EoE pathophysiology by defining mechanisms active in the early phase of disease and protective pathways that, in the future, might be leveraged for clinical benefit. Supplemental Figure 1: Odds of eosinophilic esophagitis in H pylori exposed versus non-exposed individuals (sensitivity analysis with Dellon et al. 2011 study removed) Supplemental Figure 2: Odds of eosinophilic esophagitis or esophageal eosinophilia in H pylori exposed versus non-exposed individuals (sensitivity analysis with Dellon et al. 2011 study removed) Supplemental Figure 3: Funnel plot of standard error by log odds ratio showing no publication bias based on symmetric distribution Supplemental Figures 4a-4e: Meta-regression analyses, a. Study Type (Cohort / cross-sectional vs. Case-control), b. Geography (US vs. Non-US), c. Adult vs Pediatric Only Study Population, d. H pylori Prevalence (Low vs. Moderate-high), e. Time period of Patient Recruitment (Pre-2007 vs. Post-2007) Supplemental Figure 5–: Odds of eosinophilic esophagitis or esophageal eosinophilia in H pylori exposed versus non-exposed individuals, sensitivity analysis limited to high-quality studies only (based on risk of bias assessment according to the Newcastle Ottawa Scale ≥6)
  60 in total

Review 1.  Measuring inconsistency in meta-analyses.

Authors:  Julian P T Higgins; Simon G Thompson; Jonathan J Deeks; Douglas G Altman
Journal:  BMJ       Date:  2003-09-06

2.  Identification, epidemiology, and chronicity of pediatric esophageal eosinophilia, 1982-1999.

Authors:  Charles W DeBrosse; Margaret H Collins; Bridget K Buckmeier Butz; Casey L Allen; Eileen C King; Amal H Assa'ad; J Pablo Abonia; Philip E Putnam; Marc E Rothenberg; James P Franciosi
Journal:  J Allergy Clin Immunol       Date:  2010-07       Impact factor: 10.793

3.  Helicobacter pylori and its secreted immunomodulator VacA protect against anaphylaxis in experimental models of food allergy.

Authors:  A Kyburz; S Urban; A Altobelli; S Floess; J Huehn; T L Cover; A Müller
Journal:  Clin Exp Allergy       Date:  2017-09-11       Impact factor: 5.018

4.  Prevalence and endoscopic features of eosinophilic esophagitis in patients with esophageal or upper gastrointestinal symptoms.

Authors:  Moon Kyung Joo; Jong-Jae Park; Sung-Ho Kim; Key Hyeon Kim; Wonho Jung; Jae-Won Yun; Beom Jae Lee; Ji Hoon Kim; Jong Eun Yeon; Jae Seon Kim; Kwan Soo Byun; Sang Woo Lee; Young-Tae Bak
Journal:  J Dig Dis       Date:  2012-06       Impact factor: 2.325

5.  Health-care utilization, costs, and the burden of disease related to eosinophilic esophagitis in the United States.

Authors:  Elizabeth T Jensen; Michael D Kappelman; Christopher F Martin; Evan S Dellon
Journal:  Am J Gastroenterol       Date:  2014-09-30       Impact factor: 10.864

6.  Helicobacter pylori-specific protection against inflammatory bowel disease requires the NLRP3 inflammasome and IL-18.

Authors:  Daniela B Engler; Irina Leonardi; Mara L Hartung; Andreas Kyburz; Sabine Spath; Burkhard Becher; Gerhard Rogler; Anne Müller
Journal:  Inflamm Bowel Dis       Date:  2015-04       Impact factor: 5.325

7.  Prevalence of esophageal eosinophilia and eosinophilic esophagitis in adults: a population-based endoscopic study in Shanghai, China.

Authors:  Xiuqiang Ma; Qin Xu; Yanling Zheng; Yanfang Zhao; Jian Lu; Rui Wang; Zhaoshen Li; Duowu Zou; Jia He
Journal:  Dig Dis Sci       Date:  2015-01-20       Impact factor: 3.199

8.  Esophageal eosinophilia in children with dysphagia.

Authors:  Ka Ming Cheung; Mark R Oliver; Donald J S Cameron; Anthony G Catto-Smith; Chung W Chow
Journal:  J Pediatr Gastroenterol Nutr       Date:  2003-10       Impact factor: 2.839

9.  Impact of human migrations on diversity of Helicobacter pylori in Cambodia and New Caledonia.

Authors:  Sebastien Breurec; Josette Raymond; Jean-Michel Thiberge; Sopheak Hem; Didier Monchy; Abdoulaye Seck; Pierre Dehoux; Benoit Garin; Catherine Dauga
Journal:  Helicobacter       Date:  2013-01-28       Impact factor: 5.753

10.  Case-control study of association of eosinophilic gastrointestinal disorders with Helicobacter pylori infection in Japan.

Authors:  Kenji Furuta; Kyoichi Adachi; Masahito Aimi; Norihisa Ishimura; Shuichi Sato; Shunji Ishihara; Yoshikazu Kinoshita
Journal:  J Clin Biochem Nutr       Date:  2013-04-19       Impact factor: 3.114

View more
  8 in total

1.  Systematic review with meta-analysis: association between Helicobacter pylori CagA seropositivity and odds of inflammatory bowel disease.

Authors:  Adam Tepler; Neeraj Narula; Richard M Peek; Anish Patel; Cyrus Edelson; Jean-Frederic Colombel; Shailja C Shah
Journal:  Aliment Pharmacol Ther       Date:  2019-06-05       Impact factor: 8.171

2.  Systematic review: gastrointestinal infection and incident inflammatory bowel disease.

Authors:  Jordan E Axelrad; Ken H Cadwell; Jean-Frederic Colombel; Shailja C Shah
Journal:  Aliment Pharmacol Ther       Date:  2020-05-05       Impact factor: 8.171

Review 3.  Diagnosis and treatment of Helicobacter pylori infections in children and elderly populations.

Authors:  Chao Peng; Yi Hu; Zhong-Ming Ge; Quan-Ming Zou; Nong-Hua Lyu
Journal:  Chronic Dis Transl Med       Date:  2020-01-08

4.  Association between H. pylori infection and health Outcomes: an umbrella review of systematic reviews and meta-analyses.

Authors:  Liqun Li; Jinjing Tan; Lijian Liu; Jianfeng Li; Guangwen Chen; Mingbing Chen; Jieru Xie; Qingzeng Song; Xiaoyan Huang; Sheng Xie
Journal:  BMJ Open       Date:  2020-01-09       Impact factor: 2.692

Review 5.  Eosinophilic Esophagitis and Microbiota: State of the Art.

Authors:  Maurizio Mennini; Renato Tambucci; Carla Riccardi; Francesca Rea; Paola De Angelis; Alessandro Fiocchi; Amal Assa'ad
Journal:  Front Immunol       Date:  2021-02-19       Impact factor: 7.561

Review 6.  Type 2 Inflammation in Eosinophilic Esophagitis: From Pathophysiology to Therapeutic Targets.

Authors:  Francesca Racca; Gaia Pellegatta; Giuseppe Cataldo; Edoardo Vespa; Elisa Carlani; Corrado Pelaia; Giovanni Paoletti; Maria Rita Messina; Emanuele Nappi; Giorgio Walter Canonica; Alessandro Repici; Enrico Heffler
Journal:  Front Physiol       Date:  2022-01-12       Impact factor: 4.566

Review 7.  Eosinophilic esophagitis-established facts and new horizons.

Authors:  Luc Biedermann; Alex Straumann; Thomas Greuter; Philipp Schreiner
Journal:  Semin Immunopathol       Date:  2021-06-07       Impact factor: 9.623

Review 8.  Eosinophils and Bacteria, the Beginning of a Story.

Authors:  Edna Ondari; Esther Calvino-Sanles; Nicholas J First; Monica C Gestal
Journal:  Int J Mol Sci       Date:  2021-07-27       Impact factor: 5.923

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.