Evidence map›Paper›PMID 39497071›Full record

ArticleBMC microbiology2024

Variable sensitivity of clinical Candida auris strains to Biocides: implications for infection control in Healthcare Settings.

Sidre Erganis, Ali Ozturk, Sema Turan Uzuntas, Fusun Kirca, Alper Dogan, Bedia Dinc, Ayse Kalkanci

Abstract read
In one paragraph

Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Transfer ofOpen forum infectious diseases · 2026
    Article
  2. Article
  3. Adaptive susceptibility shifts in Candidozyma auris following biocidal exposure: Exploratory effects on antifungal and biocidal susceptibility.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  4. IJID regions · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Current Overview of Environmental Disinfection and Decolonization ofTropical medicine and infectious disease · 2025
    Review
  14. Article
  15. Review
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

7 authors.

Sidre ErganisDepartment of Medical Microbiology, Gazi University Faculty of Medicine, Ankara, Turkey. sdrerganis.gazi@gmail.com.ORCID 0000-0002-8068-796X
Ali OzturkDepartment of Medical Microbiology Faculty of Medicine, Nigde Omer Halisdemir University, Nigde, Turkey.ORCID 0000-0003-2428-1831
Sema Turan UzuntasMedical Microbiology Clinic, Bilkent City Hospital, Ankara, Turkey.ORCID 0000-0002-1878-1402
Fusun KircaMedical Microbiology Clinic, Bilkent City Hospital, Ankara, Turkey.ORCID 0000-0003-0959-9091
Alper DoganMedical Microbiology Clinic, Bilkent City Hospital, Ankara, Turkey.ORCID 0000-0002-9232-6483
Bedia DincMedical Microbiology Clinic, Bilkent City Hospital, Ankara, Turkey.ORCID 0000-0001-8318-2556
Ayse KalkanciDepartment of Medical Microbiology, Gazi University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0003-0961-7325

Funding

Gazi University Scientific Research Project Coordination Science Foundation TOA-2023-8299
6 · The paper itself

Abstract

purposeCandida auris, a multidrug-resistant yeast, poses significant challenges in healthcare settings due to its ability to form biofilms and resistance to common disinfectants. Understanding its susceptibility to biocides used in hospital disinfection practices is crucial for infection control. We investigated the biocide sensitivity of eight clinical C. auris strains from different patients and one reference strain (CDC B11903) using the biocide activity tests.

methodsSpecies identification was confirmed through MALDI-TOF MS, while clade differentiation and phylogenetic classification were determined via whole-genome sequencing. Biofilm formation was assessed using the MTT assay. Antifungal susceptibilities were tested according to CLSI standards. The effectiveness of biocides, including chlorine, chlorhexidine, and benzalkonium chloride, was evaluated through broth microdilution following CLSI standards and quantitative suspension and carrier tests, following EN standards.

resultsAll clinical strains were identified as clade 1, and the reference strain as clade 4, with all exhibiting biofilm formation. Clade 1 strains showed resistance to fluconazole, with MIC values ranging from 8 to 32 µg/ml, while being susceptible to other antifungals. Broth microdilution MIC assays for biocides demonstrated that all strains exhibited resistance to benzalkonium chloride. Chlorine and chlorhexidine showed variable efficacy, dependent on concentration and environmental cleanliness. Alcohol-based hand sanitizers demonstrated effectiveness against C. auris from the first minute of application.

conclusionThe study highlights the variable susceptibility of C.auris to different biocides, underscoring the challenge in eradicating this pathogen from healthcare environments. Our findings advocate for the careful selection of disinfectants in hospital settings, emphasizing the need for high-concentration chlorine and chlorhexidine solutions to combat C. auris, even in especially clean environments.

Indexed as

Antifungal AgentsBiofilmsCandida aurisChlorhexidineDisinfectantsMicrobial Sensitivity TestsBenzalkonium CompoundsCandidaCandidiasisChlorineCross InfectionDrug Resistance, FungalHumansInfection ControlPhylogenyWhole Genome SequencingAntifungal AgentsBenzalkonium CompoundsChlorhexidineChlorineDisinfectantsAntifungal resistanceBiocideCandida aurisDisinfectionEN 13624EN 14562

Identifiers

PMID39497071
PMCPMC11533359

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.