Evidence map›Paper›PMID 41131463›Full record

ArticleBMC infectious diseases2025

Haemophilus influenzae global epidemiology and antimicrobial susceptibility patterns including ampicillin and amoxicillin-clavulanate resistance based on β-lactamase production, 2013-2022.

Maroun M Sfeir

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Maroun M SfeirDepartment of Medicine, Saint George Medical Center, George Matta Street, Kessrouan, Ajaltoun, Lebanon. maroun.m.sfeir@fty.balamand.edu.lb.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe β-lactam susceptibility of Haemophilus influenzae varies globally due to resistance mechanisms such as β-lactamase production or alteration in Penicillin-Binding Protein 3 (PBP3). Monitoring and understanding these resistance trends are crucial for guiding effective treatment strategies. We described the global antimicrobial susceptibility patterns of H. influenzae using the SENTRY Antimicrobial Surveillance Program, a large database designed to monitor antimicrobial resistance patterns.

methodsAntimicrobial susceptibility testing was performed using broth microdilution as the reference method. Demographics and phenotypic antimicrobial resistance of H. influenzae from over 150 medical centers representing 51 countries were analyzed between 2013 and 2022. The guidelines established by the Clinical and Laboratory Standards Institute (CLSI) and the European Committee on Antimicrobial Susceptibility Testing (EUCAST) were adopted to interpret antibiotic breakpoints. A nitrocefin test was employed to assess the production of β-lactamase. For statistical analysis, we used Pearson’s Chi-square or Fisher’s exact test, considering p ≤ 0.05 as significant.

resultsA total of 13,869 H. influenzae isolates were analyzed; the majority came from the USA (52.2%) and the UK (4.3%). The most affected groups were males under 18 years old and those over 65 years old. β-lactamase was produced in 24.1% of the isolates, with significant variations in antibiotic resistance across regions. Asia and the West Pacific exhibited the highest resistance rates to β-lactams and other antibiotics, including β-lactamase-negative ampicillin-resistant (9.4%) and β-lactamase-positive amoxicillin-clavulanic acid-resistant (10.9%) isolates, while also having the lowest rates of intensive care unit (ICU) admissions (14.9%) and invasive infections (0.4% bloodstream infections and no central nervous system infections). Ceftriaxone and piperacillin-tazobactam were the most in vitro active antibiotics (100% susceptibility based on the CLSI breakpoints, 99.1% and 99.8% susceptibility, respectively, based on the EUCAST breakpoints). β-lactamase producing isolates had reduced susceptibility to amoxicillin-clavulanate (91.4% vs. 95.4%), trimethoprim-sulfamethoxazole (61.2% vs. 66.5%), clarithromycin (85.7% vs. 87.8%), azithromycin (97.1% vs. 98.9%), and tetracycline (95% vs. 99.6%) compared to β-lactamase negative isolates. Contrarily, susceptibility to fluoroquinolones was higher among β-lactamase-producing isolates compared to β-lactamase-negative isolates (99.6% vs. 94.1%, respectively). The in vitro susceptibility of H. influenzae isolates was higher to azithromycin compared to clarithromycin (98.4% vs. 87.2%), respectively.

conclusionsReliance on the nitrocefin test alone to predict susceptibility to β-lactams, i.e., ampicillin, could lead to false susceptibility and a higher chance of treatment failure. The high prevalence of BLNAR and BLPACR in Asia and the West Pacific, along with rising resistance to other antibiotics, highlights the need for reliable diagnostic testing and stringent containment protocols. Empirical therapy with clarithromycin for H. influenzae infections should be used with caution, especially in high resistance settings.

Indexed as

Amoxicillin-Potassium Clavulanate CombinationAmpicillinAnti-Bacterial Agentsbeta-LactamasesHaemophilus InfectionsHaemophilus influenzaebeta Lactam AntibioticsFemaleGlobal HealthHumansMaleMicrobial Sensitivity TestsAmoxicillin-Potassium Clavulanate CombinationAmpicillinAnti-Bacterial Agentsbeta Lactam Antibioticsbeta-LactamasesAmoxicillin-clavulanateAmpicillinAntimicrobial resistanceFtsl geneGlobal epidemiologyHaemophilus influenzaeΒ-lactamase

Identifiers

PMID41131463
PMCPMC12548142

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.