Evidence map›Paper›PMID 42189323›Full record

Observational studyBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2026

Neonatal Candida infections in Brazil: study on virulence and antifungal susceptibility with predominance of non-albicans Candida.

Natalia Daiane Garoni Martins, Fabíola Lucini, Bianca Canupa Mancuzo Nascimento, Túlio Máximo Salomé, Nathalie Gaebler Vasconcelos, Letícia Cristina Limiere, Silvane Cavalheiro Silva, Luana Rossato

Abstract readObservational Study
In one paragraph

Observational study in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Natalia Daiane Garoni Martins *Faculty of Health Sciences, Federal University of Grande Dourados, Rodovia Dourados - Itahum km 12, Cidade Universitária, Dourados, Mato Grosso do Sul, 79804970, Brazil.
Fabíola Lucini *Faculty of Health Sciences, Federal University of Grande Dourados, Rodovia Dourados - Itahum km 12, Cidade Universitária, Dourados, Mato Grosso do Sul, 79804970, Brazil.
Bianca Canupa Mancuzo NascimentoFaculty of Health Sciences, Federal University of Grande Dourados, Rodovia Dourados - Itahum km 12, Cidade Universitária, Dourados, Mato Grosso do Sul, 79804970, Brazil.
Túlio Máximo SaloméFaculty of Health Sciences, Federal University of Grande Dourados, Rodovia Dourados - Itahum km 12, Cidade Universitária, Dourados, Mato Grosso do Sul, 79804970, Brazil.
Nathalie Gaebler VasconcelosHospital Universitário da Universidade Federal da Grande Dourados - HU-UFGD, Dourados, Mato Grosso do Sul, Brazil.
Letícia Cristina LimiereHospital Universitário da Universidade Federal da Grande Dourados - HU-UFGD, Dourados, Mato Grosso do Sul, Brazil.
Silvane Cavalheiro SilvaHospital Universitário da Universidade Federal da Grande Dourados - HU-UFGD, Dourados, Mato Grosso do Sul, Brazil.
Luana RossatoFaculty of Health Sciences, Federal University of Grande Dourados, Rodovia Dourados - Itahum km 12, Cidade Universitária, Dourados, Mato Grosso do Sul, 79804970, Brazil. luanarossato@ufgd.edu.br.ORCID http://orcid.org/0000-0002-6115-3313

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal Candida infections remain a significant cause of morbidity and mortality in neonatal intensive care units (NICUs), especially among preterm and low-birth-weight infants. Given this context, the study investigated Candida isolates from neonatal infections in a Brazilian tertiary hospital, focusing on clinical and epidemiological aspects, antifungal susceptibility, and virulence factors. This retrospective observational study was conducted from 2018 to 2024 in a Brazilian NICU. Clinical and demographic data were obtained from medical records of 40 neonates with culture-confirmed Candida infections. Antifungal susceptibility testing followed Clinical and Laboratory Standards Institute (CLSI) guidelines. Hemolysin, phospholipase, and biofilm production were evaluated phenotypically. A total of 57 Candida isolates were recovered from 40 neonates. The most frequently identified species were C. parapsilosis (33.3%), C. albicans (22.8%), and C. tropicalis (12.3%). Persistent candidemia was observed in 10/40 (25.0%) cases. The overall mortality rate was 45.0%. Notably, four of the fatal cases were associated with strong biofilm-producing strains, and one of these isolates-C. lusitaniae-also exhibited high phospholipase activity. Fluconazole and micafungin were the most commonly used antifungal agents. All tested isolates were susceptible to micafungin, while fluconazole showed variable minimum inhibitory concentrations (MICs). Hemolysin and phospholipase activity were detected in most isolates, and approximately 66% were classified as strong biofilm producers. Non-albicans Candida species represented the majority of isolates and showed marked virulence attributes and variable antifungal susceptibility. These findings highlight the importance of local surveillance, species-level identification, virulence profiling, and antifungal susceptibility testing to improve clinical outcomes and manage resistance in NICUs.

Indexed as

Antifungal AgentsCandidaCandidiasisBiofilmsBrazilDrug Resistance, FungalFemaleHumansInfant, NewbornIntensive Care Units, NeonatalMaleMicrobial Sensitivity TestsPhospholipasesRetrospective StudiesVirulenceVirulence FactorsAntifungal AgentsPhospholipasesVirulence FactorsCandida spp.HemolysinNeonatal candidemiaPhospholipase

Identifiers

PMID42189323
PMCPMC13212837

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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.