Evidence map›Paper›PMID 34886838›Full record

ArticleBMC pulmonary medicine2021

Identification and detection of pathogenic bacteria from patients with hospital-acquired pneumonia in southwestern Iran; evaluation of biofilm production and molecular typing of bacterial isolates.

Farzad Mazloomirad, Sajad Hasanzadeh, Asghar Sharifi, Gordafarin Nikbakht, Narges Roustaei, Seyed Sajjad Khoramrooz

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2021. 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
1.6field-weighted citation impact, top 17% 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, 15 citations in OpenAlex.

  1. Article
  2. Antibiotic de-escalation in pneumonia with pharmacist education and ordering of methicillin-resistantEuropean journal of hospital pharmacy : science and practice · 2024
    Article
  3. Review
  4. Article
  5. Article
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  9. Review
  10. Differentiation BetweenInfection and drug resistance · 2022
    Article
  11. 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 at 1 institution in 1 country.

Farzad MazloomiradStudent Research Committee, Yasuj University of Medical Sciences, Yasuj, Iran.
Sajad HasanzadehDepartment of Internal Medicine, Yasuj University of Medical Sciences, Yasuj, Iran.
Asghar SharifiCellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
Gordafarin NikbakhtDepartment of Infectious Diseases, Yasuj University of Medical Sciences, Yasuj, Iran.
Narges RoustaeiDepartment of Epidemiology and Biostatistics, School of Health and Nutrition Sciences, Social Determinants of Health Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
Seyed Sajjad KhoramroozCellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran. khoramrooz@gmail.com.
Yasuj University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital-acquired pneumonia (HAP) is the second most common nosocomial infection in intensive care units (ICUs). The present study aims to determine the prevalence of pathogenic bacteria, their biofilm formation, and molecular typing from patients with HAP in southwestern Iran.

methodsFifty-eight patients with HAP participated in this cross-sectional study. Sputum and endotracheal aspirate were collected from each patient for isolation and detection of bacteria. Biofilm formation was evaluated using Congo red agar or Microtiter plate assay. The antimicrobial susceptibility patterns of the isolates were investigated. The multiplex polymerase chain reaction (M-PCR) technique was used to determine the Staphylococcal Cassette Chromosome mec (SCCmec) types of methicillin-resistant Staphylococcus aureus (MRSA) strains. All S. aureus isolates were typed using the agr typing method. A repetitive element sequence-based PCR (rep-PCR) typing method was used for typing of Gram-negative bacteria. Data were analyzed using the Statistical Package for the Social Sciences (SPSS) software version 15 and the chi-square test.

resultsBacteria were isolated in 52 (89.7%) of patients. Acinetobacter baumannii (A. baumannii) was the most prevalent organism (37%), followed by S. aureus, Pseudomonas aeruginosa (P. aeruginosa), and Escherichia coli (E. coli). Using the PCR method, 56 bacteria were detected. A. baumannii was the most prevalent (35.7%) organism. A. baumannii and P. aeruginosa were biofilm-producing. All Gram-negative isolates were colistin-sensitive, and most of the A. baumannii isolates were multidrug-resistant (MDR). MRSA was identified in 12 (80%) S. aureus isolates, and 91.6% of MRSA were SCCmec type III. The agr type III was the most predominant. The rep-PCR analysis showed seven different patterns in 20 A. baumannii, six patterns in 13 P. aeruginosa, and four patterns in 6 E. coli.

conclusionA. baumannii was more prevalent than S. aureus in ventilator-associated pneumonia (VAP), while S. aureus is a major pathogen in non-ventilator hospital-acquired pneumonia (NV-HAP), possibly due to the tendency of the former to aquatic environments. Based on the rep-PCR typing method, it was concluded that bacteria were transmitted from patients or healthcare workers among different wards. Colistin can be used as a treatment in Gram-negative MDR isolates.

Indexed as

AdolescentAdultAgedAged, 80 and overBiofilmsCross-Sectional StudiesFemaleGram-Negative BacteriaGram-Negative Bacterial InfectionsGram-Positive BacteriaGram-Positive Bacterial InfectionsHealthcare-Associated PneumoniaHumansIranMaleMiddle AgedAcinetobacter baumanniiBiofilmsHospital-acquired pneumoniaMolecular typingMRSA

Identifiers

PMID34886838
PMCPMC8662843
OpenAlexW4200010515

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.