Evidence map›Paper›PMID 41499631›Full record

ArticlePLOS global public health2026

Prevalence and antibiotic susceptibility patterns of bacteria causing surgical site infections in a tertiary care centers in Lebanon.

Inass Kawtharani, Ghassan Ghssein, Hussein Mcheimeche, Mariam Hassan, Pascale Salameh, Najwane Sadier

Abstract read
In one paragraph

Article in PLOS global public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Inass KawtharaniLebanese University, Ecole Doctorale des Sciences et Technologies, Hadath, Lebanon.ORCID https://orcid.org/0000-0002-5706-3462
Ghassan GhsseinFaculty of Sciences, Lebanese University, Beirut, Lebanon.ORCID https://orcid.org/0000-0002-9313-1418
Hussein McheimecheDepartment of Surgery, Al Zahraa Hospital University Medical Center, Beirut, Lebanon.
Mariam HassanSahel general Hospital, Beirut, Lebanon.
Pascale SalamehFaculty of Pharmacy, Lebanese University, Beirut, Lebanon.ORCID https://orcid.org/0000-0002-4780-0772
Najwane SadierPublic Health and Protection Department, Dubai Health Authority, Abu Dhabi University, United Arab Emirates.ORCID https://orcid.org/0000-0002-9603-8286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical Site Infections (SSIs) are a significant global health concern, especially after noticing the development of bacteria that are also resistant to several antibiotics. In Lebanon, data on SSIs and their associated antimicrobial resistance patterns are scarce, highlighting a critical gap in local epidemiological knowledge. This study aimed to determine the distribution of bacterial pathogens and evaluate their antibiotic susceptibility among patients with SSIs in various Lebanese hospitals. The research is a multi-center and prospective cross-sectional study in which data was obtained from patients who developed SSIs after surgical procedures within the period of January - September 2024. Swabs from wounds or tissue samples were taken from the patients, while the isolation and identification of bacteria was performed using standard microbiological techniques through culture on media and biochemical identification tests. The antimicrobial resistance profiles were performed using disk diffusion method. Sociodemographic and medical data was collected in the patients' records. The Data was analyzed using SPSS. In total, 6933 patients were admitted in the surgical departments of different hospitals. SSIs occurred in 63 patients, with a rate of 0.91%, 95% CI [0.70%, 1.15%]. Gram-negative bacteria predominated (46 (73%)) including E. coli (13(20.6%)) and Pseudomonas aeruginosa (12 (19%)), compared to Gram-positive bacteria (17 (27%)) such as Staphylococcus aureus (8(12.7%)). High levels of antibiotic resistance were found in Gram-positive isolates (71%) and Gram-negative isolates (61%), indicating a significant presence of multidrug-resistant organisms which is a serious threat to public health. This study highlights the high prevalence of antibiotic-resistance in bacteria causing SSIs in Lebanese hospitals and underscores the urgent need for stringent infection control and improved antibiotic management.

Identifiers

PMID41499631
PMCPMC12779130

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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.