[Fungal colonization in preterm neonates weighing less than 1500g admitted to the neonatal intensive care unit]

Arch Pediatr. 2016 Sep;23(9):887-94. doi: 10.1016/j.arcped.2016.05.018. Epub 2016 Jun 28.
[Article in French]

Abstract

Fungal colonization is a common occurrence in preterm neonates. Our objective was to describe the profile and characteristics of fungal colonization in preterm infants admitted to the Martinique NICU. From March 2012 to January 2013, an epidemiological prospective cohort study was conducted with 57 very low-birth-weight infants. Cutaneous, rectal, gastric, respiratory, and urinary swabs were collected on admission, then every week for 4 weeks. The prevalence of fungal colonization was 68% (39/57): 46% by Malassezia species, 28% by Candida parapsilosis, 19% by C. albicans, 5% by C. glabrata, and 2% by C. guilliermondii. The colonized patients had a duration of parenteral nutrition and antibiotic therapy longer than the others (P<0.05). Nosocomial colonization (after 2 days of life) occurred in 52% of cases: Malassezia species and C. parapsilosis were the commensal skin yeasts most frequently implicated. Forty-nine percent (28/57) had suspected invasive fungal infections that received probabilistic treatment. Only one case of invasive fungal infection with C. glabrata was diagnosed. This study highlights the important role played by nosocomial transmission in the colonization of preterm newborns. Mycological surveillance cultures in the NICU are very useful for monitoring fungal ecology and can improve the prevention of fungal colonization in preterm infants at risk of invasive fungal infection.

MeSH terms

  • Candidiasis / epidemiology*
  • Cohort Studies
  • Cross Infection / epidemiology
  • Cross Infection / microbiology
  • Dermatomycoses / epidemiology*
  • Female
  • Gestational Age
  • Humans
  • Infant, Newborn
  • Infant, Premature*
  • Infant, Very Low Birth Weight*
  • Intensive Care Units, Neonatal
  • Malassezia / isolation & purification*
  • Male
  • Martinique / epidemiology