Evidence map›Paper›PMID 40836228›Full record

Observational studyBMC infectious diseases2025

Incidence and risk factors of resistant Pseudomonas aeruginosa infections: a multicenter study in Lebanese tertiary hospitals.

Rania Itani, Hani M J Khojah, Patricia Shuhaiber, Hamza Raychouni, Carole Dib, Mariam Hassan, Tareq L Mukattash, Abdalla El-Lakany

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Genetic Determinants Linked to MDR/XDR inPathogens (Basel, Switzerland) · 2026
    Article
  6. Article
  7. Article
  8. 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

8 authors.

Rania ItaniPharmacy Practice Department, Faculty of Pharmacy, Beirut Arab University, 11-5020, Riad El Solh, Beirut, 1107 2809, Lebanon. r.itani@bau.edu.lb.ORCID http://orcid.org/0000-0003-4316-3224
Hani M J KhojahDepartment of Pharmacy Practice, College of Pharmacy, Taibah University, Madinah, Kingdom of Saudi Arabia.ORCID http://orcid.org/0000-0002-0586-1526
Patricia ShuhaiberPharmacy Department, Mount Lebanon Hospital Balamand University Medical Center, Hazmieh, Lebanon.ORCID http://orcid.org/0000-0003-2072-9248
Hamza RaychouniIntensive Care Unit, Anesthesia Department, Central Military Hospital, Military Healthcare, Lebanese Army, Beirut, Lebanon.ORCID http://orcid.org/0009-0006-2856-8740
Carole DibPharmacy Department, Lebanese Hospital Geitaoui University Medical Center, Beirut, Lebanon.
Mariam HassanEmergency Department, Sahel General Hospital, Beirut, Lebanon.
Tareq L MukattashDepartment of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.ORCID http://orcid.org/0000-0003-0200-9845
Abdalla El-LakanyDepartment of Pharmaceutical Sciences, Faculty of Pharmacy, Beirut Arab University, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence of difficult-to-treat resistant (DTR) Pseudomonas aeruginosa infections poses a significant clinical challenge, characterized by limited treatment options, poor outcomes, and increased morbidity and mortality. DTR P. aeruginosa isolates exhibit resistance to all first-line antibiotics, necessitating the use of less effective or more toxic alternatives. This study estimated the incidence of DTR P. aeruginosa infections in Lebanon and identified the associated risk factors.

methodsThis retrospective observational study was conducted across four tertiary care centers in Beirut, Lebanon, over a three-year period from 2021 to 2023. Univariate and multivariate logistic regression analyses were performed to identify significant predictors associated with DTR P. aeruginosa infections.

resultsA total of 2,639 cases with positive P. aeruginosa isolates were initially screened, with 477 cases meeting the inclusion criteria for analysis. The mean age of the patients was 66.3 ± 17.8 years, and the mean Charlson Comorbidity Index was 4.46 ± 2.43. Nearly half of the infections were nosocomial (47.6%). The most common primary site of infection was the respiratory tract (38.8%), followed by skin and soft tissue (32.7%). The incidence of DTR P. aeruginosa was 15.3%, and the incidence of carbapenem-resistant P. aeruginosa (CRPA) was 29.9%. Binary logistic regression identified three main risk factors for DTR P. aeruginosa infection acquisition: infections occurring during the winter season (adjusted odds ratio [AOR] = 6.08, 95% CI = 2.75–16.13, P < 0.01), intensive care unit stay (AOR = 2.52, 95% CI = 1.28–4.98, P < 0.01), and infections originating from the respiratory tract (AOR = 2.49, 95% CI = 1.04–5.97, P = 0.04).

conclusionsThe incidence of DTR P. aeruginosa in Lebanese hospitals is substantial compared to global rates and poses a significant challenge to effective treatment. Urgent measures are required to prevent and mitigate the spread of DTR P. aeruginosa infections. Hospital-based antimicrobial stewardship and infection control programs need to be reinforced, and community-based initiatives should be implemented at the national level. Efforts to combat antimicrobial resistance must be supported by ongoing nationwide annual surveillance.

Indexed as

Pseudomonas aeruginosaPseudomonas InfectionsAdultAgedAged, 80 and overAnti-Bacterial AgentsCross InfectionDrug Resistance, BacterialFemaleHumansIncidenceLebanonMaleMicrobial Sensitivity TestsMiddle AgedRetrospective StudiesAnti-Bacterial AgentsAntibioticsAntimicrobial resistanceLebanonPseudomonas aeruginosaRisk factorsSusceptibility patterns

Identifiers

PMID40836228
PMCPMC12366003

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.