Evidence map›Paper›PMID 38329626›Full record

ArticleAMB Express2024

Enterobacter cloacae from urinary tract infections: frequency, protein analysis, and antimicrobial resistance.

Ayman Elbehiry, Mansor Al Shoaibi, Hamzah Alzahrani, Mai Ibrahem, Ihab Moussa, Feras Alzaben, Rousa A Alsubki, Hassan A Hemeg, Dakheel Almutairi, Saleh Althobaiti and 5 more

Open access · goldAbstract read
In one paragraph

Article in AMB Express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
7.6field-weighted citation impact, top 2% of its field
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

11 citing papers in PubMed, 20 citations in OpenAlex.

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  9. Prevalence of carbapenem-resistantSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
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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

15 authors at 8 institutions in 1 country.

Ayman ElbehiryDepartment of Public Health, College of Public Health and Health Informatics, Qassim University, 52741, Al Bukayriyah, Saudi Arabia. ar.elbehiry@qu.edu.sa.ORCID http://orcid.org/0000-0001-7726-9532
Mansor Al ShoaibiDepartment of Support Service, King Fahad Armed Hospital, 23311, Jeddah, Saudi Arabia.
Hamzah AlzahraniDepartment of Preventive Medicine, King Fahad Armed Hospital, 23311, Jeddah, Saudi Arabia.
Mai IbrahemDepartment of Public Health, College of Applied Medical Science, King Khalid University, 61421, Abha, Saudi Arabia.
Ihab MoussaDepartment of Botany and Microbiology, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia.
Feras AlzabenDepartment of Food Service, King Fahad Armed Forces Hospital, 23311, Jeddah, Saudi Arabia.
Rousa A AlsubkiDepartment of Clinical Laboratory Science, College of Applied Science, King Saud University, Riyadh, Saudi Arabia.
Hassan A HemegDepartment of Medical Laboratory Technology, College of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia.
Dakheel AlmutairiMedical Transportation Administration of Prince Sultan Military Medical City, 12233, Riyadh, Saudi Arabia.
Saleh AlthobaitiPharmacy Department, Armed Forces Hospital in Jubail, 35517, Jubail, Saudi Arabia.
Fawaz AlanaziSupply Administration, Armed Forces Hospital, King Abdul Aziz Naval Base in Jubail, 35517, Jubail, Saudi Arabia.
Sultan A AlotaibiMedical Administration, Armed Forces Hospital, King Abdul Aziz Naval Base in Jubail, 35517, Jubail, Saudi Arabia.
Hamoud AlmutairiAviation Medicine, King Abdulaziz Medical City of National Guard, 14611, Riyadh, Saudi Arabia.
Ali AlzahraniDepartment of Preventive Medicine, King Fahad Armed Hospital, 23311, Jeddah, Saudi Arabia.
Akram Abu-OkailDepartment of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, 52571, Buraydah, Saudi Arabia.
King Fahd Armed Forces Hospital · SAArmed Forces Hospital · SAKing Saud University · SAQassim University · SAKing Abdulaziz Medical City · SAKing Khalid University · SARiyadh Armed Forces Hospital · SATaibah University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genus Enterobacter belongs to the ESKAPE group, which includes Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp. This group is characterized by the development of resistance to various antibiotics. In recent years, Enterobacter cloacae (E. cloacae) has emerged as a clinically important pathogen responsible for a wide range of healthcare-associated illnesses. Identifying Enterobacter species can be challenging due to their similar phenotypic characteristics. The emergence of multidrug-resistant E. cloacae is also a significant problem in healthcare settings. Therefore, our study aimed to identify and differentiate E. cloacae using Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) as a fast and precise proteomic analytical technique. We also tested hospital-acquired E. cloacae isolates that produce Extended-spectrum beta-lactamases (ESBL) against commonly used antibiotics for treating urinary tract infections (UTIs). We used a total of 189 E. cloacae isolates from 2300 urine samples of patients with UTIs in our investigation. We employed culturing techniques, as well as the BD Phoenix™ automated identification system (Becton, Dickinson) and Analytical Profile Index (API) system for the biochemical identification of E. cloacae isolates. We used the MALDI Biotyper (MBT) device for peptide mass fingerprinting analysis of all isolates. We utilized the single peak intensities and Principal Component Analysis (PCA) created by MBT Compass software to discriminate and cluster the E. cloacae isolates. Additionally, we evaluated the sensitivity and resistance of ESBL-E. cloacae isolates using the Kirby Bauer method. Out of the 189 E. cloacae isolates, the BD Phoenix system correctly identified 180 (95.24%) isolates, while the API system correctly identified 165 (87.30%) isolates. However, the MBT accurately identified 185 (98.95%) isolates with a score of 2.00 or higher. PCA positively discriminated the identified E. cloacae isolates into one group, and prominent peaks were noticed between 4230 mass-to-charge ratio (m/z) and 8500 m/z. The ESBL-E. cloacae isolates exhibited a higher degree of resistance to ampicillin, amoxicillin-clavulanate, cephalothin, cefuroxime, and cefoxitin. Several isolates were susceptible to carbapenems (meropenem, imipenem, and ertapenem); however, potential future resistance against carbapenems should be taken into consideration. In conclusion, MALDI-TOF MS is a powerful and precise technology that can be routinely used to recognize and differentiate various pathogens in clinical samples. Additionally, the growing antimicrobial resistance of this bacterium may pose a significant risk to human health.

Indexed as

Antibiotic agentEnterococcus cloacaeIdentificationPublic health

Identifiers

PMID38329626
PMCPMC10853136
OpenAlexW4391646858

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.