Evidence map›Paper›PMID 31898796›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2020

Molecular characteristics and predictors of mortality among Gram-positive bacteria isolated from bloodstream infections in critically ill patients during a 5-year period (2012-2016).

Matthaios Papadimitriou-Olivgeris, Fevronia Kolonitsiou, Vasileios Karamouzos, Katerina Tsilipounidaki, Alexandra Nikolopoulou, Fotini Fligou, Markos Marangos, Efthimia Petinaki, Iris Spiliopoulou

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In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  8. Nanobiosystems for Antimicrobial Drug-Resistant Infections.Nanomaterials (Basel, Switzerland) · 2021
    Review
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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

9 authors at 2 institutions in 2 countries.

Matthaios Papadimitriou-OlivgerisDepartment of Internal Medicine, Division of Infectious Diseases, School of Medicine, University of Patras, Patras, Greece.
Fevronia KolonitsiouDepartment of Microbiology, School of Medicine, University of Patras, Campus, 26504, Rion, Patras, Greece.
Vasileios KaramouzosAnesthesiology and Critical Care Medicine, School of Medicine, University of Patras, Patras, Greece.
Katerina TsilipounidakiDepartment of Microbiology, School of Medicine, University of Thessaly, Larissa, Greece.
Alexandra NikolopoulouAnesthesiology and Critical Care Medicine, School of Medicine, University of Patras, Patras, Greece.
Fotini FligouAnesthesiology and Critical Care Medicine, School of Medicine, University of Patras, Patras, Greece.
Markos MarangosDepartment of Internal Medicine, Division of Infectious Diseases, School of Medicine, University of Patras, Patras, Greece.
Efthimia PetinakiDepartment of Microbiology, School of Medicine, University of Thessaly, Larissa, Greece.
Iris SpiliopoulouDepartment of Microbiology, School of Medicine, University of Patras, Campus, 26504, Rion, Patras, Greece. spiliopl@upatras.gr.
University of Patras · GRUniversity of Thessaly · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify the molecular characteristics of Gram-positive cocci isolated from blood cultures and clinical outcome among critically ill patients. This retrospective study was conducted in the general intensive care unit of the University General Hospital of Patras, Greece, during a 5-year period (2012-2016). All adult patients with a Gram-positive BSI were included. PCR was applied to identify mecA gene (staphylococci); vanA, vanB, and vanC genes (enterococci). Linezolid-resistant S. epidermidis, MRSA, and VRE were further typed by multilocus sequence typing. Mutations in region V of 23S rDNA and ribosomal protein L4were investigated by PCR and sequencing analysis. The presence of the cfr gene was tested by PCR. In total, 141 Gram-positive BSIs were included. Coagulase-negative staphylococci predominated (n = 69; 65 methicillin-resistant, 23 linezolid-resistant carrying both C2534T and T2504A mutations and belonging to the ST22 clone), followed by enterococci (n = 46; 11 vancomycin-resistant carrying vanA gene, classified into four clones), S. aureus (n = 22; 10 methicillin-resistant, classified into three clones) and streptococci (n = 4). The most common type of infection was catheter-related (66; 46.8%), followed by primary BSI (28; 19.9%). Overall 14-day fatality was 24.8%. Multivariate analysis revealed septic shock as independent predictor of fatality, while appropriate empiric antimicrobial treatment and catheter-related BSI were identified as a predictor of good prognosis. Even though most of Gram-positive cocci were multidrug-resistant, fatality rate was low, associated with catheter-related BSIs. Among CNS, LR isolates represented one-third of BSIs due to the dissemination of ST22 S. epidermidis propagated by utilization of linezolid.

Indexed as

Genes, BacterialAdultAgedAnti-Bacterial AgentsBacterial Typing TechniquesBlood CultureCritical IllnessDrug Resistance, Multiple, BacterialFemaleGram-Positive BacteriaGram-Positive Bacterial InfectionsGreeceHumansIntensive Care UnitsMaleMicrobial Sensitivity TestsAnti-Bacterial AgentsCoagulase-negative staphylococciLinezolid resistanceMethicillin-resistant S. aureus (MRSA)Septic shockVancomycin-resistant enterococci (VRE)

Identifiers

PMID31898796
PMCPMC7223776
OpenAlexW2997081826

What OpenQuestion holds

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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.