Next Article in Journal
Harnessing the Enzymatic Potential of Indigenous Yeast Strains: Screening and Evaluation for Biocontrol and Oenological Advancements
Next Article in Special Issue
A Study on the Association Between Treatment Response to Atezolizumab Plus Bevacizumab Combination Therapy for Advanced Hepatocellular Carcinoma and Gut Microbiota
Previous Article in Journal
Alpinia katsumadai and Wurfbainia vera Extracts Modulate Antioxidant Function and Intestinal Morphology in Danzhou Chickens via Gut Microbiota–Metabolite Interactions Involving Hydroxyoctadecadienoic Acid Metabolism and Bacteroidota Remodeling
Previous Article in Special Issue
The Dual Role of Gut Microbiota and Their Metabolites in Hepatocellular Carcinoma: A Context-Dependent Framework
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

High Levels of Helicobacter pylori Antimicrobial Resistance in Ireland—A Multicentre Study

1
School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
2
Department of Gastroenterology, Tallaght University Hospital, D24 NR0A Dublin, Ireland
3
Department of Gastroenterology, Letterkenny University Hospital, Letterkenny, F92 AE81 Donegal, Ireland
4
Department of Gastroenterology, Mayo University Hospital, Castlebar, F23 H529 Mayo, Ireland
5
Department of Gastroenterology, St. James’s Hospital, D08 NHY1 Dublin, Ireland
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Microorganisms 2026, 14(3), 704; https://doi.org/10.3390/microorganisms14030704
Submission received: 28 February 2026 / Revised: 16 March 2026 / Accepted: 17 March 2026 / Published: 21 March 2026

Abstract

Resistance surveillance programmes are essential for choosing the most appropriate eradication therapy for the stomach pathogen Helicobacter pylori. This study aimed to determine H. pylori antimicrobial resistance rates in Ireland. H. pylori was cultured from patients attending four gastroenterology clinics from 2018 to 2023. Antimicrobial susceptibility testing (AST) was performed using Etests for metronidazole, clarithromycin, levofloxacin, amoxicillin, tetracycline and rifampicin and resistance classified using EUCAST guidelines. Resistance rates were compared between H. pylori treatment-naïve and previously treated patients (primary and secondary resistance, respectively). Samples from 138 culture-positive patients (mean age 49.4 ± 15.7 years, 47.1% female) were analysed. A total of 28.7% of isolates from treatment-naïve patients were susceptible to all antimicrobials tested. Primary resistance rates to metronidazole, clarithromycin, levofloxacin, amoxicillin, tetracycline and rifampicin were 44.3%, 36.5%, 18.3%, 14.6%, 9.6% and 9.6%, respectively. Primary dual resistance to clarithromycin and metronidazole was 22.6% and primary multidrug resistance was 13.0%. Secondary resistance rates were significantly higher than primary resistance rates for clarithromycin, metronidazole, dual resistance to clarithromycin and either amoxicillin, metronidazole or levofloxacin, and multidrug resistance. Female sex and older age were associated with increased risk of resistance. H. pylori resistance rates were high in our cohort. Clarithromycin-based triple therapy should no longer be used in Ireland in the absence of pre-treatment AST. Resistance to amoxicillin, tetracycline and rifampicin should be monitored closely.

1. Introduction

Helicobacter pylori (H. pylori) is a Gram-negative, microaerophilic, spiral-shaped, bacterium [1,2,3,4] present in the stomach of almost half of the population worldwide [5,6]. Infection causes chronic gastritis and increases the risk of developing peptic ulcer disease. Additionally, H. pylori is the main etiological agent in gastric cancer, which is the fifth most common malignancy globally and the fifth leading cause of cancer-related deaths [3,5,7,8,9,10,11]. H. pylori has been designated a class I (definite) carcinogen by the World Health Organization (WHO) since 1994 [12]. Infection is usually acquired during childhood and persists for life in the absence of eradication therapy. The bacteria produce a variety of factors that facilitate colonisation of the gastric mucosa, including the urease enzyme, which protects against the low pH of the stomach, flagella that enable motility and several outer membrane proteins involved in attachment [2,3,4]. H. pylori is detected using non-invasive diagnostic tests or invasively using samples obtained during gastroscopy. Non-invasive test options include the urea breath test, stool antigen test, or serology, while the most commonly used invasive methods are the rapid urease test, histology, bacterial culture and PCR [3,4,13].
Treatment involves a combination of antimicrobials and an acid-suppressing drug. First-line therapy has traditionally comprised a proton pump inhibitor (PPI), clarithromycin and amoxicillin. Amoxicillin is replaced with metronidazole in penicillin-allergic patients [3,4]. However, these triple therapies have become less effective over time, mainly due to the emergence of antimicrobial-resistant H. pylori. As a result, international consensus guidelines now recommend that first-line therapy is guided by the local prevalence of H. pylori antimicrobial resistance. Empirical clarithromycin-based triple therapy should not be used in areas where primary clarithromycin resistance is >15%, with bismuth quadruple therapy (PPI, bismuth salt, metronidazole and tetracycline), non-bismuth concomitant therapy (PPI, bismuth, metronidazole, clarithromycin) or high-dose PPI–amoxicillin dual therapy as alternative options [14,15,16]. Second-line treatment and rescue therapies should never be the same as the previously prescribed anti-H. pylori therapies. Levofloxacin triple or quadruple therapies are second-line options, and rifabutin triple therapy is an option for rescue therapy [14,15,16].
It is well established that H. pylori resistance rates vary across geographic regions [17,18,19,20,21,22,23,24]. As treatment recommendations are based on the regional prevalence of antimicrobial resistance, local resistance surveillance programmes are important for choosing the most appropriate eradication therapy in each population. Thus, the aim of this study was to determine H. pylori antimicrobial resistance rates in Ireland. Secondly, we investigated patient risk factors associated with harbouring antimicrobial-resistant H. pylori.

2. Materials and Methods

2.1. Ethical Approval

The study was approved by the Joint Research Ethics Committee of Tallaght University Hospital and St. James’s Hospital (Reference: REC-2013/23/04/2014-11-List 41(11) and REC-2020-03-List 9—Amendment (18)), the Research Ethics Committee of Letterkenny University Hospital (Reference: Helicobacter pylori antibiotic resistance) and the Research Ethics Committee of Mayo University Hospital (Reference: ToM/MV 20220201). The procedures followed were in accordance with the ethical standards of the Helsinki Declaration of 1975, as revised in 2000.

2.2. Study Population and Sample Collection

Patients attending for upper gastrointestinal endoscopy at Tallaght University Hospital and St. James’s Hospital, Co. Dublin, Letterkenny University Hospital, Co. Donegal and Mayo University Hospital, Co. Mayo, between January 2018 and June 2023 were invited to participate in the study. Inclusion criteria were (1) ability and willingness to participate in the study and to provide informed consent; and (2) confirmed H. pylori infection by culture. Exclusion criteria were (1) age less than 18 years; (2) pregnancy or lactation; (3) severe intercurrent illness; (4) recent antimicrobial use (within 4 weeks); and (5) bleeding problems or use of blood thinning drugs. Upon receipt of informed consent, one corpus and one antrum biopsy were taken from each patient and placed directly into sterile DENT’s transport medium (brain heart infusion broth containing 2.5% (w/v) yeast extract, 5% (v/v) horse serum and H. pylori Selective Supplement (Oxoid, (Hampshire, UK)) and transported to the Meath Foundation Research Laboratory, Trinity Centre, Tallaght University Hospital, for culture and antimicrobial susceptibility testing. Patient demographics and H. pylori treatment history were recorded.

2.3. Culture of H. pylori

Using a sterile inoculating loop, the corpus and antrum biopsies from each patient were removed from the transport medium and spread directly onto a Columbia blood agar plate containing 5% (v/v) laked horse blood. The biopsies were removed from the agar and the plates incubated at 37 °C under microaerobic conditions using the CampyGen system (Oxoid) for up to 7 days. H. pylori was identified by visual inspection of the colonies, a positive urease test and by PCR.

2.4. Antimicrobial Susceptibility Testing (AST)

Using a sterile cotton swab, H. pylori colonies were dispersed into maximum recovery diluent (Oxoid) until the turbidity was that of a 3 McFarland standard. The inoculum from each cultured strain was spread evenly onto 6 Columbia blood agar plates containing 5% (v/v) laked horse blood. One Etest strip (Biomerieux, Craponne, France) for clarithromycin, metronidazole, amoxicillin, levofloxacin, tetracycline or rifampicin was applied to each inoculated plate using a sterile forceps. Rifabutin Etests are not available, and therefore rifampicin was used to determine sensitivity to this class of antimicrobials. The plates were incubated at 37 °C for 48–72 h under microaerobic conditions. AST results were interpreted according to the guidelines and criteria of the European Committee on Antimicrobial Susceptibility Testing (EUCAST, Clinical Breakpoint Tables Version 13.4, valid from 29 June 2023). The following minimum inhibitory concentration (MIC) cut-offs for resistance were used: clarithromycin: >0.25 mg/L; metronidazole: >8 mg/L, amoxicillin: >0.125 mg/L, levofloxacin: 1 mg/L, tetracycline: >1 mg/L; and rifampicin >1 mg/L. Quality control AST experiments were performed using the strain CCUG 18742, which is susceptible to all antimicrobials tested.

2.5. Statistical Analysis

All statistical analyses were performed using GraphPad Prism, version 9.5.1 (GraphPad Software, San Diego, CA, USA). Continuous variables are expressed as the mean ± standard deviation (SD), while categorical variables are presented as frequencies and percentages. Resistance rates were compared between H. pylori treatment-naïve and previously treated patients (primary and secondary resistance, respectively). Differences between categorical variables were analysed using the two tailed Chi-square test.
To evaluate the relationship between patient age and antibiotic resistance, binary logistic regression analysis was performed, with age entered as a continuous independent variable and antimicrobial susceptibility result (resistant or susceptible) as the dependent variable. Regression coefficients (β0 for intercept and β1 for slope) were obtained for each antibiotic and for combinations of dual or multidrug resistance (resistant to 3 or more antimicrobials). Model fit was assessed using the likelihood ratio test (LRT), and statistical significance of the regression model was determined based on the p value of the LRT. For all statistical analysis, a p value of <0.05 was considered significant.

3. Results

3.1. Patient Demographics

Samples from 138 culture-positive patients were included in the study. The mean age of the study population was 49.4 ± 15.7 years and 47.1% (n = 65) were female (Table 1). A total of 83.3% (n = 115) of the study population was treatment-naïve for H. pylori, while 16.7% (n = 23) had previously undergone treatment for the infection (Table 1). There was no significant difference in age or sex between the treatment-naïve and previously treated groups (Table 1).

3.2. Antimicrobial Resistance Rates

The distributions of MICs obtained across the cultured isolates for each antimicrobial are shown in Figure 1. Overall resistance rates to clarithromycin and metronidazole were high at 41.3% (n = 57/138) and 49.3% (n = 68/138), respectively (Table 2). Overall resistance rates to levofloxacin, tetracycline, amoxicillin and rifampicin were 19.6% (n = 27/138), 10.1% (n = 14/138), 17.4% (n = 24/138) and 10.9% (n = 15/138), respectively.
Of the treatment-naïve group, only 28.7% (n = 33/115) of isolates tested were susceptible to all six of the antibiotics tested. A significant decrease in the susceptibility profile was noted in isolates from those previously treated, with only one isolate (4.3%) susceptible to all six antimicrobials (p = 0.01; Table 2). Primary resistance rates to clarithromycin and metronidazole in isolates from treatment-naïve patients were high at 36.5% (n = 42/115) and 44.3% (n = 51/115), respectively, with dual resistance to both clarithromycin and metronidazole observed in 22.6% (n = 26/115) of isolates. A total of 13.0% (n = 15/115) of isolates was multidrug resistant (Table 2).
When rates were compared between treatment-naïve isolates and those from previously treated individuals, the resistance to clarithromycin significantly increased from 36.5% (n = 42/115) to 65.2% (n = 15/23) (p = 0.01) and resistance to metronidazole increased from 44.3% (n = 51/115) to 73.9% (n = 17/23) (p = 0.01; Table 2). There was also a significant increase in dual resistance to clarithromycin and amoxicillin (8.7% (n = 10/115) to 26.1% (n = 6/23); p = 0.02), clarithromycin and metronidazole (22.6% (n = 26/115) to 52.2% (n = 12/23); p < 0.005) and clarithromycin and levofloxacin (7.8% (n = 9/115) to 21.7% (n = 5/23); p = 0.04) when rates were compared between samples from treatment-naïve versus previously treated patients (Table 2). Multidrug resistance increased from 13.0% (n = 15/115) in treatment-naïve isolates to 43.5% (n = 10/23) (p < 0.001) in isolates from previously treated patients (Table 2).

3.3. Factors Associated with Antimicrobial Resistance

Next, factors associated with antimicrobial resistance were investigated. Only 13.8% (n = 9/65) of females were infected with isolates susceptible to all six antimicrobials, compared to 34.2% (n = 25/73) of males (p < 0.01; Table 3). In line with this, overall resistance was significantly higher in isolates from females than males with regard to clarithromycin (56.9% (n = 37/65) versus 27.4% (n = 20/73), respectively; p < 0.001) and amoxicillin (24.6% (n = 16/65) versus 11% (n = 8/73), respectively; p = 0.03). Dual resistance to both clarithromycin and amoxicillin was also higher in females than males (20% (n = 13/65) versus 4.1% (n = 3/73), respectively; p < 0.005), as was dual resistance to both clarithromycin and metronidazole (43.1% (n = 28/65) versus 13.7% (n = 10/73), respectively; p < 0.001) (Table 3).
Overall resistance rates were also compared among isolates from younger compared to older patients, using the WHO definition of older age as 60 years and above [25]. A total of 24.6% (n = 34/138) of patients from whom H. pylori was cultured were ≥60 years, with a mean age of 71.3 ± 6.9 years compared to 42.3 ± 10.2 years (p < 0.0001) in the under 60-year-old group (Table 4). Levofloxacin resistance was more than twice as high in isolates from older compared to younger patients (38.2% (n = 13/34) versus 13.5% (n = 14/104), respectively, p < 0.005; (Table 5)). In line with this finding, dual resistance to levofloxacin and either clarithromycin or metronidazole was significantly higher in H. pylori isolates from ≥60 years compared to <60 years (Table 5). Multidrug resistance was also more prevalent in H. pylori isolates from the older compared to younger patients (32.4% (n = 11/34) vs. 13.5% (n = 14/104), respectively, p < 0.01; (Table 5)). Finally, logistic regression analysis also showed that increasing age was a risk factor for levofloxacin resistance, dual levofloxacin resistance and dual levofloxacin and metronidazole resistance (Table 6).

4. Discussion

In this study, we evaluated resistance to six antimicrobials by culturing H. pylori from patients attending four gastroenterology clinics on the island of Ireland between 2018 and 2023. We used a combined corpus and antrum biopsy sampling approach, as combined biopsy sampling improves H. pylori culture success compared to single antrum biopsy sampling [26,27,28], takes into account the patchy distribution of H. pylori in the stomach, which can occur from using PPIs [27,29,30], and also captures any differences in the antimicrobial susceptibility profiles between isolates from the corpus and antrum of the same patient [31,32].
H. pylori antimicrobial resistance rates were high in isolates from our patient cohort and have increased over time. Primary clarithromycin resistance has risen from 3.9% in 1997 to 9.3% in 2007/8 [33], to 36.5% in the current study, while primary metronidazole resistance has increased from 27.1% and 29.1% in 1997 and 2007/8, respectively [33], to 44.3% in the current study. Primary H. pylori resistance to levofloxacin in Ireland has risen from 11.2% in 2008/9 [34,35] to 18.3% in the current study. Our primary clarithromycin resistance rate is higher than the pooled primary clarithromycin resistance rates reported in pan-European studies, which range from 21 to 25% [17,36,37], but similar to Greece, Croatia and Italy, where primary clarithromycin resistance is also above 30% [17]. Our primary metronidazole and levofloxacin resistance rates are similar to the pooled pan-European resistance rates (27–39% and 15.8–20%, respectively) [17,36,37] and other countries worldwide [18,19]. Higher primary resistance to amoxicillin, rifampicin and tetracycline (14.8%, 9.6% and 9.6%, respectively) was observed among the H. pylori isolates collected in this study compared to other regions, particularly in Europe. The detection of primary amoxicillin resistance herein is reflected by the poor eradication rate recently obtained using first-line high-dose amoxicillin and PPI dual therapy in a recent multicentre study in our population [38].
Although resistance to amoxicillin, tetracycline and rifampicin has been considered uncommon in the past, increasing studies have reported emerging resistance to these antimicrobials. Evidence from Europe shows an emergence of amoxicillin resistance in the Netherlands and the Eastern Mediterranean region, with resistance rates of 10% [39] and 14% [18], respectively. A systematic review and meta-analysis of primary antibiotic resistance in the Asia-Pacific region revealed amoxicillin resistance rates of 8%, 10%, 18% and 30% in isolates from Saudia Arabia, Iran, India and Pakistan, respectively [23]. Very high primary amoxicillin resistance has been reported in some African countries, with rates of 34%, 82% and 100% in the Democratic Republic of Congo [40], Egypt [41], and Cameroon [42], respectively. With regard to primary tetracycline resistance, rates of 5% and 10% have been described in Poland [43] and the Eastern Mediterranean [18], respectively. Similarly, primary tetracycline resistance rates between 6% and 12% have been described in the Asia-Pacific region [23] and between 34% and 38% in some African countries [40,41]. Finally, primary resistance to rifampicin has also been shown in Lithuania (8%, [44]), Latvia (10%, [45]), Spain (33%, [46]), and Egypt (63%, [41]).
The primary resistance rates observed here, particularly in relation to amoxicillin, tetracycline and rifampicin, provide a rationale for continued surveillance and investigation. Indeed, experiments are currently ongoing to determine the molecular mechanisms of resistance in our isolates. Variations between our resistance rates and those from other countries are also worth considering. There is a strong link between primary H. pylori resistance and previous antimicrobial use [17,34,47,48]. Analysis of antimicrobial consumption in Europe has shown a significant association between the consumption of macrolides in the community and H. pylori clarithromycin resistance, and between the consumption of quinolones in the community and levofloxacin resistance [17,34]. Studies from the UK and USA have also shown that previous antimicrobial use increases the risk of harbouring resistant strains of H. pylori [47,48]. Therefore, variations in antimicrobial prescribing patterns are likely to influence the emergence of H. pylori resistance in different regions. Unfortunately, a full history of antimicrobial use among the individual patients recruited in this study was unavailable. However, it is noteworthy that Ireland has a proportionately higher use of antimicrobials compared to many other countries in the EU and that the consumption of β-lactam antibiotics and tetracyclines has been steadily increasing over the years [49].
Among the isolates collected from H. pylori treatment-naïve patients, only 28.7% were susceptible to all six of the antimicrobials tested. A significantly lower percentage (4.3%) of isolates obtained from those previously treated for H. pylori infection was susceptible to all six antimicrobials. In line with this observation, resistance to clarithromycin was significantly higher in isolates from previously treated patients compared to those from treatment-naïve individuals (65.2% vs. 36.5%, respectively). This finding is not surprising given that clarithromycin-based triple therapy was shown to be the most common first-line treatment prescribed for H. pylori in Ireland between 2013 and 2022, accounting for 88% of prescribed regimens analysed [50]. Secondary metronidazole resistance was also higher compared to primary metronidazole resistance (73.9% vs. 44.3%, respectively), as was dual resistance to clarithromycin and amoxicillin (26.1% vs. 8.7%, respectively), dual resistance to clarithromycin and metronidazole (52.2% vs. 22.6%, respectively) and dual resistance to clarithromycin and levofloxacin (21.7% vs. 7.8%, respectively) when rates were compared between samples from previously treated patients versus treatment-naive. Multidrug resistance increased from 13% in treatment-naïve isolates to 43.5% in isolates from previously treated patients. These findings of increased resistance among isolates from patients previously treated for H. pylori highlight the challenges associated with second-line and rescue therapy and the importance of selecting the most appropriate H. pylori eradication strategy for first-line treatment.
Female sex and older age were associated with a higher risk of harbouring antimicrobial-resistant H. pylori. Only 13.8% of females were infected with isolates susceptible to all six antimicrobials, compared to 34.2% of males, and overall resistance was significantly higher in isolates from females than males with regard to clarithromycin (56.9% vs. 27.4%, respectively), amoxicillin (24.6% vs. 11.0%, respectively) and dual resistance to both clarithromycin and amoxicillin (20% vs. 4.1%, respectively) or clarithromycin and metronidazole (43.1% vs. 13.7%, respectively). Levofloxacin resistance was more than twice as high in isolates from older compared to younger patients (38.2% vs. 13.5%, respectively), while dual resistance to levofloxacin and either clarithromycin or metronidazole and multidrug resistance were also significantly higher in H. pylori isolates from ≥60 years compared to <60 years. Logistic regression analysis also revealed that increasing age was a risk factor for levofloxacin resistance, dual levofloxacin resistance and dual levofloxacin and metronidazole resistance. Both older age and female sex have previously been reported as risk factors for H. pylori antimicrobial resistance [18,33,34,51,52]. Indeed, previous studies from Ireland [33], Europe [34,51,52,53,54,55,56,57] and other parts of the world [58,59,60,61,62,63,64] have shown that H. pylori antimicrobial resistance is more likely to occur in isolates from females compared to males. These findings are likely to be influenced by previous antibiotic use. Older patients are likely to have been exposed to more courses of antimicrobials than younger patients. Women may also be more likely to have increased antimicrobial exposure compared to men, as they have been reported to seek primary care consultation more frequently [65]. Higher metronidazole resistance in isolates from females may be due to the use of metronidazole for gynaecological infections, such as bacterial vaginosis and trichomoniasis [52]. DNA mutations (A2142G and A2143G) in the 23S rRNA gene associated with clarithromycin resistance in H. pylori confer cross-resistance to other antimicrobials, such as clindamycin [66]. Such overlapping resistance mechanisms suggest that higher clarithromycin resistance in H. pylori from females may also result from the treatment of gynaecological infections, as clindamycin is used as an alternative to metronidazole for bacterial vaginosis [52]. It is possible that other factors, such as differences in bacterial load, physiology, hormones and/or immune responses to H. pylori, may play a role in the development of resistance in females compared to males and these areas are worthy of further study. In line with higher resistance rates in H. pylori isolated from women, studies have shown that female sex is a risk factor for treatment failure, with lower eradication rates reported in women compared to men [67,68,69].
The strengths of our study include the combined corpus and antrum biopsy sampling approach to culture H. pylori and the use of standardised antimicrobial susceptibility testing methods recommend by the European Helicobacter and Microbiota Study Group [17,34]. Further, this is the first resistance study carried out in Ireland that investigated resistance to all six antimicrobials in clinical use for H. pylori and includes samples from more than one hospital site. Information was collected on H. pylori treatment history, which enabled analysis of primary and secondary resistance rates. However, comprehensive data on total previous antibiotic use for individual patients were not available. Data on the treatment prescribed to the patients included in the study and the treatment outcomes were also unavailable, preventing direct analysis of the risk of harbouring a resistant strain and treatment failure in our cohort.
In summary, high rates of H. pylori antimicrobial resistance were observed in clinical isolates from patients in Ireland. The high rate of primary clarithromycin has important implications for H. pylori treatment. Primary clarithromycin resistance decreases the efficacy of the standard clarithromycin–amoxicillin–PPI triple therapy by 70% [34,70,71] and should not be used in first-line therapy in areas where primary clarithromycin resistance is >15% [14]. Indeed, based in part on the data presented herein, updated Irish consensus guidelines now recommend that clarithromycin triple therapy should only be used in cases where clarithromycin susceptibility has been confirmed [72]. Non-bismuth concomitant therapy (PPI, clarithromycin, metronidazole, amoxicillin) is not a suitable first-line alternative in our population due to the high dual clarithromycin and metronidazole resistance rate. Bismuth quadruple therapy (PPI, bismuth salt, metronidazole and tetracycline) is now the recommended first-line treatment [72] and is known to overcome metronidazole resistance [14,73]. In the absence of AST, knowledge of a patient’s antibiotic history may prove useful in therapy decision making, especially in females and older patients. Finally, emerging resistance to amoxicillin, tetracycline and rifampicin and the associated impacts on treatment outcomes are worth monitoring closely.

5. Conclusions

Resistance rates were high in H. pylori isolated from patients in Ireland. Female sex and older age were associated with increased risk of resistance. Clarithromycin-based triple therapy should no longer be used as first-line treatment in Ireland in the absence of pre-treatment AST. Resistance surveillance should be continued, especially in light of emerging resistance to amoxicillin, tetracycline and rifampicin.

Author Contributions

Conceptualization, C.O., D.M. and S.M.S.; methodology, T.J.B., S.M., A.D., D.B. and R.F.; patient recruitment and sample collection, C.C., V.P., K.V.D.M., S.S., D.T., S.H., D.K. and D.M.; formal analysis, T.J.B. and S.M.S.; writing—original draft preparation, T.J.B. and S.M.S.; writing—review and editing, T.J.B., S.M., A.D., D.B., R.F., C.C., V.P., K.V.D.M., S.S., D.T., S.H., D.K., C.O., D.M. and S.M.S.; funding acquisition, D.M. and S.M.S. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by a Health Research Board Applied Partnership Award (HRB-APA-2019-030) and a Health Research Board Investigator-Led Project (HRB-ILP-POR-2022-048).

Institutional Review Board Statement

The study was approved by the Joint Research Ethics Committee of Tallaght University Hospital and St. James’s Hospital (Reference: REC-2013/23/04/2014-11-List 41(11) and REC-2020-03-List 9—Amendment (18); 21 November 2014 and amendment approval 23 March 2020), the Research Ethics Committee of Letterkenny University Hospital (Reference: Helicobacter pylori antibiotic resistance; 16 August 2021) and the Research Ethics Committee of Mayo University Hospital (Reference: ToM/MV 20220201; 17 February 2022).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ASTAntimicrobial susceptibility testing
EUCASTEuropean Committee on Antimicrobial Susceptibility Testing
H. pyloriHelicobacter pylori
LRTLikelihood ratio test
MICMinimum inhibitory concentration
PPIProton pump inhibitor
SDStandard deviation
WHOWorld Health Organisation

References

  1. Sugano, K.; Spechler, S.J.; El-Omar, E.M.; McColl, K.E.L.; Takubo, K.; Gotoda, T.; Fujishiro, M.; Iijima, K.; Inoue, H.; Kawai, T.; et al. Kyoto international consensus report on anatomy, pathophysiology and clinical significance of the gastro-oesophageal junction. Gut 2022, 71, 1488–1514. [Google Scholar] [CrossRef] [PubMed]
  2. Clyne, M.; Cróinín, T.Ó. Pathogenicity and virulence of Helicobacter pylori: A paradigm of chronic infection. Virulence 2025, 16, 2438735. [Google Scholar] [PubMed]
  3. Malfertheiner, P.; Camargo, M.C.; El-Omar, E.; Liou, J.M.; Peek, R.; Schulz, C.; Smith, S.I.; Suerbaum, S. Helicobacter pylori infection. Nat. Rev. Dis. Primers 2023, 9, 19. [Google Scholar] [PubMed]
  4. McColl, K.E. Clinical practice. Helicobacter pylori infection. N. Engl. J. Med. 2010, 362, 1597–1604. [Google Scholar] [CrossRef]
  5. Chen, Y.C.; Malfertheiner, P.; Yu, H.T.; Kuo, C.L.; Chang, Y.Y.; Meng, F.T.; Wu, Y.X.; Hsiao, J.L.; Chen, M.J.; Lin, K.P.; et al. Global Prevalence of Helicobacter pylori Infection and Incidence of Gastric Cancer Between 1980 and 2022. Gastroenterology 2024, 166, 605–619, Erratum in Gastroenterology 2025, 168, 850. https://doi.org/10.1053/j.gastro.2025.01.008.. [Google Scholar] [CrossRef] [PubMed]
  6. Li, Y.; Choi, H.; Leung, K.; Jiang, F.; Graham, D.Y.; Leung, W.K. Global prevalence of Helicobacter pylori infection between 1980 and 2022: A systematic review and meta-analysis. Lancet Gastroenterol. Hepatol. 2023, 8, 553–564. [Google Scholar] [CrossRef]
  7. Bornschein, J. Gastric cancer—Clinical aspects. Microbiota Health Dis. 2024, 6, e1029. [Google Scholar]
  8. Sabanas, P.; Jonaitis, L. Helicobacter pylori: Pathogenesis. Microbiota Health Dis. 2024, 6, e1046. [Google Scholar]
  9. Bray, F.; Laversanne, M.; Sung, H.; Ferlay, J.; Siegel, R.L.; Soerjomataram, I.; Jemal, A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2024, 74, 229–263. [Google Scholar] [CrossRef]
  10. Wizenty, J.; Sigal, M. Helicobacter pylori, microbiota and gastric cancer—Principles of microorganism-driven carcinogenesis. Nat. Rev. Gastroenterol. Hepatol. 2025, 22, 296–313. [Google Scholar] [CrossRef]
  11. Sevo, M.C.; Borhschein, J. The year in Helicobacter—Malignant diseases. Microbiota Health Dis. 2025, 7, e1444. [Google Scholar]
  12. IARC. Shistosomes, liver flukes and Helicobacter pylori. In IARC Monographs on the Evaluation of Carcinogenic Risks to Humans; IARC Publications: Lyon, France, 1994; pp. 1–241. [Google Scholar]
  13. Dore, M.P.; Graham, D.Y. Modern approach to the diagnosis of Helicobacter pylori infection. Aliment. Pharmacol. Ther. 2022, 55, S14–S21. [Google Scholar] [CrossRef] [PubMed]
  14. Malfertheiner, P.; Megraud, F.; Rokkas, T.; Gisbert, J.P.; Liou, J.M.; Schulz, C.; Gasbarrini, A.; Hunt, R.H.; Leja, M.; O’Morain, C.; et al. Management of Helicobacter pylori infection: The Maastricht VI/Florence consensus report. Gut 2022, 66, 6–30. [Google Scholar] [CrossRef] [PubMed]
  15. Liou, J.M.; Malfertheiner, P.; Hong, T.C.; Cheng, H.C.; Sugano, K.; Shah, S.; Sheu, B.S.; Chen, M.J.; Chiang, T.H.; Chen, Y.C.; et al. Screening and eradication of Helicobacter pylori for gastric cancer prevention: Taipei Global Consensus II. Gut 2025, 74, 1767–1791. [Google Scholar] [CrossRef] [PubMed]
  16. Chey, W.D.; Howden, C.W.; Moss, S.F.; Morgan, D.R.; Greer, K.B.; Grover, S.; Shah, S.C. ACG Clinical Guideline: Treatment of Helicobacter pylori Infection. Am. J. Gastroenterol. 2024, 119, 1730–1753. [Google Scholar] [CrossRef]
  17. Megraud, F.; Bruyndonckx, R.; Coenen, S.; Wittkop, L.; Huang, T.D.; Hoebeke, M.; Benejat, L.; Lehours, P.; Goossens, H.; Glupczynski, Y. Helicobacter pylori resistance to antibiotics in Europe in 2018 and its relationship to antibiotic consumption in the community. Gut 2021, 70, 1815–1822. [Google Scholar] [CrossRef]
  18. Savoldi, A.; Carrara, E.; Graham, D.Y.; Conti, M.; Tacconelli, E. Prevalence of antibiotic resistance in Helicobacter pylori: A systematic review and meta-analysis in World Health Organization regions. Gastroenterology 2018, 155, 1372–1382. [Google Scholar] [CrossRef]
  19. Schulz, C.; Liou, J.M.; Alboraie, M.; Bornschein, J.; Campos Nunez, C.; Coelho, L.G.; Quach, D.T.; Fallone, C.A.; Chen, Y.C.; Gerhard, M.; et al. Helicobacter pylori antibiotic resistance: A global challenge in search of solutions. Gut 2025, 74, 1561–1570. [Google Scholar] [CrossRef]
  20. Garvey, E.; Rhead, J.; Suffian, S.; Whiley, D.; Mahmood, F.; Bakshi, N.; Letley, D.; White, J.; Atherton, J.; Winter, J.A.; et al. High incidence of antibiotic resistance amongst isolates of Helicobacter pylori collected in Nottingham, UK, between 2001 and 2018. J. Med. Microbiol. 2023, 72, 001776. [Google Scholar] [CrossRef]
  21. Salahi-Niri, A.; Zali, M.R.; Yadegar, A. A systematic review on Helicobacter pylori antimicrobial resistance: Global trends, clinical implications and future strategies. Microbiota Health Dis. 2025, 7, e1448. [Google Scholar]
  22. Salahi-Niri, A.; Zali, M.R.; Yadegar, A. Global prevalence of Helicobacter pylori antibiotic resistance among children in the world health organization regions between 2000 and 2023: A systematic review and meta-analysis. BMC Med. 2024, 22, 598. [Google Scholar] [CrossRef]
  23. Kuo, Y.T.; Liou, J.M.; El-Omar, E.M.; Wu, J.Y.; Leow, A.H.R.; Goh, K.L.; Das, R.; Lu, H.; Lin, J.T.; Tu, Y.K.; et al. Primary antibiotic resistance in Helicobacter pylori in the Asia-Pacific region: A systematic review and meta-analysis. Lancet Gastroenterol. Hepatol. 2017, 2, 707–715. [Google Scholar] [CrossRef]
  24. Otani, K.; Lai, W.Y.; Liou, J.M.; Fujiwara, Y. Antibiotic Resistance in Helicobacter pylori in the Asia-Pacific Region: A Call for Coordinated Regional Strategies. J. Gastroenterol. Hepatol. 2026, 41, 387–391. [Google Scholar] [CrossRef]
  25. World Health Organisation. Ageing. Available online: https://www.who.int/health-topics/ageing#tab=tab_1 (accessed on 27 February 2026).
  26. Brennan, D.E.; O’Morain, C.; McNamara, D.; Smith, S.M. Combined antrum and corpus biopsy protocol improves Helicobacter pylori culture success. World J. Gastrointest. Pathophysiol. 2022, 13, 34–40. [Google Scholar] [CrossRef]
  27. Megraud, F.; Lehours, P. Helicobacter pylori detection and antimicrobial susceptibility testing. Clin. Microbiol. Rev. 2007, 20, 280–322. [Google Scholar] [CrossRef] [PubMed]
  28. Bayerdorffer, E.; Oertel, H.; Lehn, N.; Kasper, G.; Mannes, G.A.; Sauerbruch, T.; Stolte, M. Topographic association between active gastritis and Campylobacter pylori colonisation. J. Clin. Pathol. 1989, 42, 834–839. [Google Scholar] [CrossRef] [PubMed]
  29. Goodwin, C.S.; Worsley, B.W. Microbiology of Helicobacter pylori. Gastroenterol. Clin. N. Am. 1993, 22, 5–19. [Google Scholar] [CrossRef]
  30. Logan, R.P.; Walker, M.M.; Misiewicz, J.J.; Gummett, P.A.; Karim, Q.N.; Baron, J.H. Changes in the intragastric distribution of Helicobacter pylori during treatment with omeprazole. Gut 1995, 36, 12–16. [Google Scholar] [CrossRef]
  31. Selgrad, M.; Tammer, I.; Langner, C.; Bornschein, J.; Meissle, J.; Kandulski, A.; Varbanova, M.; Wex, T.; Schluter, D.; Malfertheiner, P. Different antibiotic susceptibility between antrum and corpus of the stomach, a possible reason for treatment failure of Helicobacter pylori infection. World J. Gastroenterol. 2014, 20, 16245–16251. [Google Scholar] [CrossRef]
  32. Kim, J.J.; Kim, J.G.; Kwon, D.H. Mixed-infection of antibiotic susceptible and resistant Helicobacter pylori isolates in a single patient and underestimation of antimicrobial susceptibility testing. Helicobacter 2003, 8, 202–206. [Google Scholar] [CrossRef]
  33. O’Connor, A.; Taneike, I.; Nami, A.; Fitzgerald, N.; Murphy, P.; Ryan, B.; O’Connor, H.; Qasim, A.; Breslin, N.; O’Morain, C. Helicobacter pylori resistance to metronidazole and clarithromycin in Ireland. Eur. J. Gastroenterol. Hepatol. 2010, 22, 1123–1127. [Google Scholar] [CrossRef] [PubMed]
  34. Megraud, F.; Coenen, S.; Versporten, A.; Kist, M.; Lopez-Brea, M.; Hirschl, A.M.; Andersen, L.P.; Goossens, H.; Glupczynski, Y. Helicobacter pylori resistance to antibiotics in Europe and its relationship to antibiotic consumption. Gut 2013, 62, 34–42. [Google Scholar] [CrossRef] [PubMed]
  35. O’Connor, A.; Taneike, I.; Nami, A.; Fitzgerald, N.; Ryan, B.; Breslin, N.; O’Connor, H.; McNamara, D.; Murphy, P.; O’Morain, C. Helicobacter pylori resistance rates for levofloxacin, tetracycline and rifabutin among Irish isolates at a reference centre. Ir. J. Med. Sci. 2013, 182, 693–695. [Google Scholar] [CrossRef] [PubMed]
  36. Bujanda, L.; Nyssen, O.P.; Ramos, J.; Bordin, D.S.; Tepes, B.; Perez-Aisa, A.; Pavoni, M.; Castro-Fernandez, M.; Lerang, F.; Leja, M.; et al. Effectiveness of Helicobacter pylori Treatments According to Antibiotic Resistance. Am. J. Gastroenterol. 2024, 119, 646–654. [Google Scholar] [CrossRef]
  37. Bujanda, L.; Nyssen, O.P.; Vaira, D.; Saracino, I.M.; Fiorini, G.; Lerang, F.; Georgopoulos, S.; Tepes, B.; Heluwaert, F.; Gasbarrini, A.; et al. Antibiotic Resistance Prevalence and Trends in Patients Infected with Helicobacter pylori in the Period 2013–2020: Results of the European Registry on H. pylori Management (Hp-EuReg). Antibiotics 2021, 10, 1058. [Google Scholar] [CrossRef]
  38. Costigan, C.; O’Sullivan, A.M.; O’Connell, J.; Sengupta, S.; Butler, T.; Molloy, S.; O’Hara, F.J.; Ryan, B.; Breslin, N.; O’Donnell, S.; et al. Helicobacter pylori: High dose amoxicillin does not improve primary or secondary eradication rates in an Irish cohort. World J. Clin. Cases 2024, 12, 2773–2779. [Google Scholar] [CrossRef]
  39. Ruiter, R.; Wunderink, H.F.; Veenendaal, R.A.; Visser, L.G.; de Boer, M.G.J. Helicobacter pylori resistance in the Netherlands: A growing problem? Neth. J. Med. 2017, 75, 394–398. [Google Scholar]
  40. Tshibangu-Kabamba, E.; Ngoma-Kisoko, P.J.; Tuan, V.P.; Matsumoto, T.; Akada, J.; Kido, Y.; Tshimpi-Wola, A.; Tshiamala-Kashala, P.; Ahuka-Mundeke, S.; Ngoy, D.M.; et al. Next-Generation Sequencing of the Whole Bacterial Genome for Tracking Molecular Insight into the Broad-Spectrum Antimicrobial Resistance of Helicobacter pylori Clinical Isolates from the Democratic Republic of Congo. Microorganisms 2020, 8, 887. [Google Scholar] [CrossRef]
  41. Asaad, A.M.; El-Azab, G.; Abdelsameea, E.; Elbahr, O.; Kamal, A.; Abdel-Samiee, M.; Abdelfattah, A.; Abdallah, H.; Maher, D.; El-Refaie, A.; et al. Susceptibility patterns and virulence genotypes of Helicobacter pylori affecting eradication therapy outcomes among Egyptian patients with gastroduodenal diseases. World J. Gastroenterol. 2023, 29, 2950–2960. [Google Scholar] [CrossRef]
  42. Kouitcheu Mabeku, L.B.; Eyoum Bille, B.; Tepap Zemnou, C.; Tali Nguefack, L.D.; Leundji, H. Broad spectrum resistance in Helicobacter pylori isolated from gastric biopsies of patients with dyspepsia in Cameroon and efflux-mediated multiresistance detection in MDR isolates. BMC Infect. Dis. 2019, 19, 880. [Google Scholar] [CrossRef]
  43. Krzyzek, P.; Pawelka, D.; Iwanczak, B.; Kempinski, R.; Lesniakowski, K.; Megraud, F.; Laczmanski, L.; Biernat, M.; Gosciniak, G. High Primary Antibiotic Resistance of Helicobacter pylori Strains Isolated from Pediatric and Adult Patients in Poland during 2016–2018. Antibiotics 2020, 9, 228. [Google Scholar] [CrossRef] [PubMed]
  44. Dargiene, G.; Kupcinskas, J.; Jonaitis, L.; Vezbavicius, M.; Kadusevicius, E.; Kupcinskiene, E.; Frandsen, T.H.; Kucinskiene, R.; Kupcinskas, L.; Andersen, L.P. Primary antibiotic resistance of Helicobacter pylori strains among adults and children in a tertiary referral centre in Lithuania. APMIS 2018, 126, 21–28. [Google Scholar] [CrossRef] [PubMed]
  45. Rudzīte, D.V.R.; Daugule, I.; Šķenders, G.; Poļaka, I.; Vanags, A.; Atstupens, J.; Tolmanis, I.; Pūpola, D.; Tarasenko, Y.; Park, J.Y. Helicobacter pylori antibacterial resistance patterns in Lavia: Results from th GISTAR pilot study. Microbiota Health Dis. 2024, 6, e1000. [Google Scholar]
  46. Macias-Garcia, F.; Llovo-Taboada, J.; Diaz-Lopez, M.; Baston-Rey, I.; Dominguez-Munoz, J.E. High primary antibiotic resistance of Helicobacter pylori strains isolated from dyspeptic patients: A prevalence cross-sectional study in Spain. Helicobacter 2017, 22, e12440. [Google Scholar] [CrossRef]
  47. Shiota, S.; Reddy, R.; Alsarraj, A.; El-Serag, H.B.; Graham, D.Y. Antibiotic Resistance of Helicobacter pylori Among Male United States Veterans. Clin. Gastroenterol. Hepatol. 2015, 13, 1616–1624. [Google Scholar] [CrossRef]
  48. McNulty, C.A.; Lasseter, G.; Shaw, I.; Nichols, T.; D’Arcy, S.; Lawson, A.J.; Glocker, E. Is Helicobacter pylori antibiotic resistance surveillance needed and how can it be delivered? Aliment. Pharmacol. Ther. 2012, 35, 1221–1230. [Google Scholar]
  49. Health Protection Surveillance Centre. Surveillance of Antimicrobial Consumption. 2026. Available online: https://www.hpsc.ie/a-z/microbiologyantimicrobialresistance/europeansurveillanceofantimicrobialconsumptionesac/ (accessed on 24 February 2026).
  50. Smith, S.M.; Nyssen, O.P.; FitzGerald, R.; Butler, T.J.; McNamara, D.; Qasim, A.; Costigan, C.; Cano-Catala, A.; Parra, P.; Moreira, L.; et al. First-Line Prescriptions and Effectiveness of Helicobacter pylori Eradication Treatment in Ireland over a 10-Year Period: Data from the European Registry on Helicobacter pylori Management (Hp-EuReg). Antibiotics 2025, 14, 680. [Google Scholar] [CrossRef]
  51. Glupczynski, Y.; Megraud, F.; Lopez-Brea, M.; Andersen, L.P. European multicentre survey of in vitro antimicrobial resistance in Helicobacter pylori. Eur. J. Clin. Microbiol. Infect. Dis. 2001, 20, 820–823. [Google Scholar] [CrossRef]
  52. Chisholm, S.A.; Teare, E.L.; Davies, K.; Owen, R.J. Surveillance of primary antibiotic resistance of Helicobacter pylori at centres in England and Wales over a six-year period (2000–2005). Eurosurveillance 2007, 12, E3–E4. [Google Scholar] [CrossRef]
  53. Banatvala, N.; Davies, G.R.; Abdi, Y.; Clements, L.; Rampton, D.S.; Hardie, J.M.; Feldman, R.A. High prevalence of Helicobacter pylori metronidazole resistance in migrants to east London: Relation with previous nitroimidazole exposure and gastroduodenal disease. Gut 1994, 35, 1562–1566. [Google Scholar] [CrossRef]
  54. Pilotto, A.; Rassu, M.; Leandro, G.; Franceschi, M.; Di Mario, F. Prevalence of Helicobacter pylori resistance to antibiotics in Northeast Italy: A multicentre study. Dig. Liver Dis. 2000, 32, 763–768. [Google Scholar] [CrossRef]
  55. Cameron, E.A.B.; Powell, K.U.; Baldwin, L.; Jones, P.; Bell, G.D.; Williams, S.G.J. Helicobacter pylori: Antibiotic resistance and eradication rates in Suffolk, UK, 1991–2001. J. Med. Microbiol. 2004, 53, 535–538. [Google Scholar] [CrossRef] [PubMed]
  56. Wolle, K.; Leodolter, A.; Malfertheiner, P.; Konig, W. Antibiotic susceptibility of Helicobacter pylori in Germany: Stable primary resistance from 1995 to 2000. J. Med. Microbiol. 2002, 51, 705–709. [Google Scholar] [CrossRef] [PubMed]
  57. Parsons, H.K.; Carter, M.J.; Sanders, D.S.; Winstanley, T.; Lobo, A.J. Helicobacter pylori antimicrobial resistance in the United Kingdom: The effect of age, sex and socio-economic status. Aliment. Pharmacol. Ther. 2001, 15, 1473–1478. [Google Scholar] [CrossRef] [PubMed]
  58. Medakina, I.; Tsapkova, L.; Polyakova, V.; Nikolaev, S.; Yanova, T.; Dekhnich, N.; Khatkov, I.; Bordin, D.; Bodunova, N. Helicobacter pylori Antibiotic Resistance: Molecular Basis and Diagnostic Methods. Int. J. Mol. Sci. 2023, 24, 9433. [Google Scholar] [CrossRef]
  59. Tang, X.; Wang, Z.; Shen, Y.; Song, X.; Benghezal, M.; Marshall, B.J.; Tang, H.; Li, H. Antibiotic resistance patterns of Helicobacter pylori strains isolated from the Tibet Autonomous Region, China. BMC Microbiol. 2022, 22, 196. [Google Scholar] [CrossRef]
  60. Prazeres Magalhaes, P.; De Magalhaes Queiroz, D.M.; Campos Barbosa, D.V.; Aguiar Rocha, G.; Nogueira Mendes, E.; Santos, A.; Valle Correa, P.R.; Camargos Rocha, A.M.; Martins Teixeira, L.; Affonso de Oliveira, C. Helicobacter pylori primary resistance to metronidazole and clarithromycin in Brazil. Antimicrob. Agents Chemother. 2002, 46, 2021–2023. [Google Scholar] [CrossRef]
  61. Meyer, J.M.; Silliman, N.P.; Wang, W.; Siepman, N.Y.; Sugg, J.E.; Morris, D.; Zhang, J.; Bhattacharyya, H.; King, E.C.; Hopkins, R.J. Risk factors for Helicobacter pylori resistance in the United States: The surveillance of H. pylori antimicrobial resistance partnership (SHARP) study, 1993–1999. Ann. Intern. Med. 2002, 136, 13–24. [Google Scholar] [CrossRef]
  62. De Francesco, V.; Giorgio, F.; Hassan, C.; Manes, G.; Vannella, L.; Panella, C.; Ierardi, E.; Zullo, A. Worldwide H. pylori antibiotic resistance: A systematic review. J. Gastrointestin. Liver Dis. 2010, 19, 409–414. [Google Scholar]
  63. Okimoto, T.; Ando, T.; Sasaki, M.; Ono, S.; Kobayashi, I.; Shibayama, K.; Chinda, D.; Tokunaga, K.; Nakajima, S.; Osaki, T.; et al. Antimicrobial-resistant Helicobacter pylori in Japan: Report of nationwide surveillance for 2018–2020. Helicobacter 2024, 29, e13028. [Google Scholar] [CrossRef]
  64. White, B.; Winte, M.; DeSipio, J.; Phadtare, S. Clinical Factors Implicated in Antibiotic Resistance in Helicobacter pylori Patients. Microorganisms 2022, 10, 322. [Google Scholar] [CrossRef] [PubMed]
  65. Wang, Y.; Hunt, K.; Nazareth, I.; Freemantle, N.; Petersen, I. Do men consult less than women? An analysis of routinely collected UK general practice data. BMJ Open 2013, 3, e003320. [Google Scholar] [CrossRef] [PubMed]
  66. Wang, G.; Taylor, D.E. Site-specific mutations in the 23S rRNA gene of Helicobacter pylori confer two types of resistance to macrolide-lincosamide-streptogramin B antibiotics. Antimicrob. Agents Chemother. 1998, 42, 1952–1958. [Google Scholar] [CrossRef] [PubMed]
  67. Pena-Galo, E.; Gotor, J.; Harb, Y.; Alonso, M.; Alcedo, J. Socioeconomic and demographic factors associated with failure in Helicobacter pylori eradication using the standard triple therapy. Gastroenterol. Hepatol. Bed Bench 2021, 14, 53–58. [Google Scholar]
  68. Shah, S.; Cappell, K.; Sedgley, R.; Pelletier, C.; Jacob, R.; Bonafede, M.; Yadlapati, R. Diagnosis and treatment patterns among patients with newly diagnosed Helicobacter pylori infection in the United States 2016–2019. Sci Rep 2023, 13, 1375. [Google Scholar] [CrossRef]
  69. Chang, Y.W.; Ko, W.J.; Oh, C.H.; Park, Y.M.; Oh, S.J.; Moon, J.R.; Cho, J.H.; Kim, J.W.; Jang, J.Y. Clarithromycin resistance and female gender affect Helicobacter pylori eradication failure in chronic gastritis. Korean J. Intern. Med. 2019, 34, 1022–1029. [Google Scholar] [CrossRef]
  70. Fischbach, L.; Evans, E.L. Meta-analysis: The effect of antibiotic resistance status on the efficacy of triple and quadruple first-line therapies for Helicobacter pylori. Aliment. Pharmacol. Ther. 2007, 26, 343–357. [Google Scholar] [CrossRef]
  71. Megraud, F.H. pylori antibiotic resistance: Prevalence, importance, and advances in testing. Gut 2004, 53, 1374–1384. [Google Scholar] [CrossRef]
  72. Smith, S.M.; Boyle, B.; Buckley, M.; Costigan, C.; Doyle, M.; Farrell, R.; Ismail, M.S.; Kevans, D.; Nugent, S.; O’Connor, A.; et al. The second Irish Helicobacter pylori Working Group consensus for the diagnosis and treatment of Helicobacter pylori infection in adult patients in Ireland. Eur. J. Gastroenterol. Hepatol. 2024, 36, 1000–1009. [Google Scholar] [CrossRef]
  73. Malfertheiner, P.; Bazzoli, F.; Delchier, J.C.; Celinski, K.; Giguere, M.; Riviere, M.; Megraud, F. Helicobacter pylori eradication with a capsule containing bismuth subcitrate potassium, metronidazole, and tetracycline given with omeprazole versus clarithromycin-based triple therapy: A randomised, open-label, non-inferiority, phase 3 trial. Lancet 2011, 377, 905–913, Erratum in Lancet 2011, 378, 1778.. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Distribution of minimum inhibitory concentration (MIC) values for each antimicrobial across the clinical isolates tested. (A) CH: clarithromycin. (B) MZ: metronidazole. (C) LE: levofloxacin. (D) TC: tetracycline. (E) AC: amoxicillin. (F) RI: rifampicin. N: number of strains. The dashed lines represent the EUCAST MIC breakpoints for resistance.
Figure 1. Distribution of minimum inhibitory concentration (MIC) values for each antimicrobial across the clinical isolates tested. (A) CH: clarithromycin. (B) MZ: metronidazole. (C) LE: levofloxacin. (D) TC: tetracycline. (E) AC: amoxicillin. (F) RI: rifampicin. N: number of strains. The dashed lines represent the EUCAST MIC breakpoints for resistance.
Microorganisms 14 00704 g001
Table 1. Demographics of included patients.
Table 1. Demographics of included patients.
Overall
n = 138
Treatment-Naïve
n = 115
Previously Treated
n = 23
p Value 1
Mean age (years)49.449.648.80.83
SD15.716.312.2
Sex n (%) 0.15
Male73 (52.9%)64 (55.7%)9 (39.1%)
Female65 (47.1%)51 (44.3%)14 (60.9%)
1 Treatment-naïve versus previously treated; SD: standard deviation.
Table 2. Rates of resistance to each antimicrobial.
Table 2. Rates of resistance to each antimicrobial.
Overall
n = 138
Treatment-Naïve
n = 115
Previously Treated
n = 23
p Value 1
No Resistance34 (24.7%)33 (28.7%)1 (4.3%)0.01 *
Clarithromycin57 (41.3%)42 (36.5%)15 (65.2%)0.01 *
Metronidazole68 (49.3%)51 (44.3%)17 (73.9%)0.01 *
Levofloxacin27 (19.6%)21 (18.3%)6 (26.1%)0.39
Tetracycline14 (10.1%)11 (9.6%)3 (13.0%)0.61
Amoxicillin24 (17.4%)17 (14.8%)7 (30.4%)0.07
Rifampicin15 (10.9%)11 (9.6%)4 (17.4%)0.27
Dual C + A16 (11.6%)10 (8.7%)6 (26.1%)0.02 *
Dual C + M38 (27.5%)26 (22.6%)12 (52.2%)<0.005 *
Dual C + L14 (10.1%)9 (7.8%)5 (21.7%)0.04 *
Dual M + L20 (14.5%)14 (12.2%)6 (26.1%)0.08
Multi (3+)25 (18.1%)15 (13.0%)10 (43.5%)<0.001 *
1 Isolates from treatment-naïve patients versus those from previously treated patients; * statistically significant; C: clarithromycin; A: amoxicillin; M: metronidazole; L: levofloxacin; Multi (3+): resistance to 3 or more antimicrobials.
Table 3. Antimicrobial resistance rates according to patient sex.
Table 3. Antimicrobial resistance rates according to patient sex.
Male
n = 73
Female
n = 65
p Value
No Resistance25 (34.2%)9 (13.8%)<0.01 *
Clarithromycin20 (27.4%)37 (56.9%)<0.001 *
Metronidazole32 (43.8%)36 (55.4%)0.18
Levofloxacin15 (20.5%)12 (18.5%)0.76
Tetracycline5 (6.8%)9 (13.8%)0.17
Amoxicillin8 (11.0%)16 (24.6%)0.03 *
Rifampicin8 (11.0%)7 (10.8%)0.97
Dual C + A3 (4.1%)13 (20.0%)<0.005 *
Dual C + M10 (13.7%)28 (43.1%)<0.001 *
Dual C + L6 (8.2%)8 (12.3%)0.43
Dual M + L11 (15.1%)9 (13.8%)0.84
Multi (3+)9 (12.3%)16 (24.6%)0.06
* Statistically significant; C: clarithromycin; A: amoxicillin; M: metronidazole; L: levofloxacin; Multi (3+): resistance to 3 or more antimicrobials.
Table 4. Demographics of those < 60 years versus ≥60 years.
Table 4. Demographics of those < 60 years versus ≥60 years.
<60 Years
n = 104
≥60 Years
n = 34
p Value 1
Mean age (years)42.371.3<0.0001 *
SD10.26.9
Sex N (%) 0.05
Male50 (48.1%)23 (67.7%)
Female54 (51.9%)11 (32.4%)
SD: standard deviation; 1 <60 years versus ≥60 years; * statistically significant.
Table 5. Antimicrobial resistance rates in those < 60 years versus ≥60 years.
Table 5. Antimicrobial resistance rates in those < 60 years versus ≥60 years.
<60 Years
n = 104
≥60 Years
n = 34
p Value 1
No Resistance23 (22.1%)11 (32.4%)0.23
Clarithromycin44 (42.3%)13 (38.2%)0.68
Metronidazole50 (48.1%)18 (52.9%)0.62
Levofloxacin14 (13.5%)13 (38.2%)<0.005 *
Tetracycline10 (9.6%)4 (11.8%)0.72
Amoxicillin16 (15.4%)8 (23.5%)0.28
Rifampicin13 (12.5%)2 (5.9%)0.28
Dual C + M26 (25.0%)12 (35.3%)0.24
Dual C + A11 (10.6%)5 (14.7%)0.51
Dual C + L7 (6.7%)7 (20.6%)0.02 *
Dual M + L10 (9.6%)10 (29.4%)<0.005 *
Multi (3+)14 (13.5%)11 (32.4%)0.01 *
1 <60 years versus ≥60 years; * statistically significant; C: clarithromycin; A: amoxicillin; M: metronidazole; L: levofloxacin; Multi (3+): resistance to 3 or more antimicrobials.
Table 6. Logistic regression analysis of age and antibiotic resistance.
Table 6. Logistic regression analysis of age and antibiotic resistance.
β0 (Intercept)β1 (Age)p Value (LRT)AUCp Value (AUC)
No Resistance−1.090.000.970.510.82
Clarithromycin−0.490.000.750.520.64
Metronidazole−0.300.010.620.5220.66
Levofloxacin−3.900.05<0.001 *0.68<0.005 *
Tetracycline−2.560.010.660.540.58
Amoxicillin−2.540.020.180.590.17
Rifampicin−1.45−0.010.440.540.64
Dual C +M−1.700.010.230.570.24
Dual M + A−2.960.020.280.580.32
Dual C + L−4.540.040.01 *0.690.02 *
Dual M + L−4.180.05<0.005 *0.670.01 *
Multi (3+)−2.890.030.060.610.07
LRT: likelihood ratio test; AUC: area under curve; * statistically significant; C: clarithromycin; A: amoxicillin; M: metronidazole; L: levofloxacin; Multi (3+): resistance to 3 or more antimicrobials.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Butler, T.J.; Molloy, S.; Douglas, A.; Brennan, D.; FitzGerald, R.; Costigan, C.; Parihar, V.; Van Der Merwe, K.; Semenov, S.; Tighe, D.; et al. High Levels of Helicobacter pylori Antimicrobial Resistance in Ireland—A Multicentre Study. Microorganisms 2026, 14, 704. https://doi.org/10.3390/microorganisms14030704

AMA Style

Butler TJ, Molloy S, Douglas A, Brennan D, FitzGerald R, Costigan C, Parihar V, Van Der Merwe K, Semenov S, Tighe D, et al. High Levels of Helicobacter pylori Antimicrobial Resistance in Ireland—A Multicentre Study. Microorganisms. 2026; 14(3):704. https://doi.org/10.3390/microorganisms14030704

Chicago/Turabian Style

Butler, Thomas J., Stephen Molloy, Atiyekeogbebe Douglas, Denise Brennan, Rebecca FitzGerald, Conor Costigan, Vikrant Parihar, Kevin Van Der Merwe, Serhiy Semenov, Donal Tighe, and et al. 2026. "High Levels of Helicobacter pylori Antimicrobial Resistance in Ireland—A Multicentre Study" Microorganisms 14, no. 3: 704. https://doi.org/10.3390/microorganisms14030704

APA Style

Butler, T. J., Molloy, S., Douglas, A., Brennan, D., FitzGerald, R., Costigan, C., Parihar, V., Van Der Merwe, K., Semenov, S., Tighe, D., Hough, S., Kevans, D., O’Morain, C., McNamara, D., & Smith, S. M. (2026). High Levels of Helicobacter pylori Antimicrobial Resistance in Ireland—A Multicentre Study. Microorganisms, 14(3), 704. https://doi.org/10.3390/microorganisms14030704

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop