Evidence map›Paper›PMID 42182852›Full record

ArticleInfection and drug resistance2026

Aerobic Microbiological Profile and Antimicrobial Resistance Trends in Sterile Body Fluid Infections Over Nine Years: A Retrospective Analysis from a Tertiary-Care Center.

Nada Abdullah Alharbi, Hanan Ali Alshafie, Moayad Haddad, Abdulrahman Abdullah Muhajir, Abdulah J Alqahtani, Yahya Shabi, Mansour O Altalhi, Mohammed H Bahkali, Thamir Saad Alsaeed, Abdullah A Alshehri and 3 more

Abstract read
In one paragraph

Article in Infection and drug resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Nada Abdullah AlharbiDepartment of Basic Medical Sciences, College of Medicine, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia.ORCID 0000-0003-4674-4921
Hanan Ali AlshafieDepartment of Medical Microbiology Laboratory, Prince Mohammed bin Nasser Hospital, Jazan Health Cluster, Jazan, Saudi Arabia.
Moayad HaddadMicrobiology laboratory, King Fahad Central Hospital, Jazan, Saudi Arabia.
Abdulrahman Abdullah MuhajirMedical Microbiology Unit, Jazan Regional Laboratory, Jazan, Saudi Arabia.
Abdulah J AlqahtaniDepartment of Microbiology and Clinical Parasitology, College of Medicine, King Khalid University, Abha, Saudi Arabia.
Yahya ShabiDepartment of Microbiology and Clinical Parasitology, College of Medicine, King Khalid University, Abha, Saudi Arabia.
Mansour O AltalhiDepartment of Basic Medical Science, College of Medicine, Majmaah University, Majmaah, 11952, Saudi Arabia.ORCID 0009-0001-7613-9645
Mohammed H BahkaliClinical Microbiology Department, Pathology and Clinical Laboratory Medicine Administration, King Fahad Medical City, Riyadh, 11525, Saudi Arabia.ORCID 0009-0002-8612-5930
Thamir Saad AlsaeedDepartment of Biology and Immunology, College of Medicine, Qassim University, Qassim, Saudi Arabia.
Abdullah A AlshehriMicrobiology laboratory, Prince Mohammed bin Abdulaziz Hospital, Riyadh, Saudi Arabia.
Mohammed A AlqahtaniMicrobiology Section, Pathology and Medical Laboratories Department and Blood Banks, Security Forces Hospital, Riyadh, Kingdom of Saudi Arabia.
Abba ElgujjaInfection Prevention and Control Department, King Saud University Medical City, Riyadh, Saudi Arabia.ORCID 0000-0003-0476-8810
Fatimah Saad AlshahraniInfection Prevention and Control Department, King Saud University Medical City, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sterile body fluid infections represent life-threatening conditions requiring prompt, targeted therapy, yet long-term regional surveillance data on pathogen distribution and antimicrobial resistance (AMR) in these infections remain scarce. This study assessed nine-year trends in aerobic microbiological patterns and AMR in sterile body fluid isolates in a tertiary care hospital. Methods: We conducted a retrospective observational study of all peritoneal, pleural, and pericardial fluid samples processed between 2016 and 2024. Only the first unique isolate per patient was included. Organisms were identified and antimicrobial susceptibility testing performed according to CLSI standards using automated and manual methods. Demographic and microbiological characteristics were summarized descriptively, while group comparisons used Chi-square, Fisher's exact test, ANOVA, or t-tests. Logistic regression evaluated year-on-year changes in non-susceptibility. Intermediate categories were included within non-susceptible interpretations. Institutional ethical approval was obtained. Results: A total of 764 unique isolates were analyzed, predominantly from peritoneal (84%) and pleural (16%) fluids. Gram-negative organisms accounted for 74.8% of isolates, with Conclusion: In this aerobic dataset, Gram-negative pathogens predominate in sterile body fluid infections, with notable ESBL burden and emerging CRE. Despite encouraging improvements in susceptibility to several agents, AMR remains dynamic and clinically consequential. Findings highlight the need for ongoing surveillance, strengthened antimicrobial stewardship, and integration of molecular resistance testing to optimize empiric therapy. Although limited by its single-center retrospective design, these findings provide long-term aerobic surveillance data but must be interpreted within the context of limited anaerobic culture.

Indexed as

AMRantimicrobial resistanceantimicrobial susceptibility testingcarbapenem-resistant EnterobacteralesCREESBLextended-spectrum β-lactamasegram-negative bacteriainfection epidemiologymethicillin-resistant Staphylococcus aureusMRSAsterile body fluid infections

Identifiers

PMID42182852
PMCPMC13197215

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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.