Trends in viable microbial bioburden on surfaces within a paediatric bone marrow transplant unit

• Published in: The Journal of hospital infection 2024-06, Vol.148, p.167-177
• Main Authors: Watkin, S., Cloutman-Green, E., Kiernan, M., Ciric, L.
• Format: Article
• Language: English
• Subjects: Haematology and oncology; Healthcare surfaces; Healthcare-associated infection; Infection prevention and control; Paediatrics; Surface cleaning
• ISSN: 0195-6701; 1532-2939; 1532-2939
• DOI: 10.1016/j.jhin.2024.03.015

Despite their role being historically overlooked, environmental surfaces have been shown to play a key role in the transmission of pathogens causative of healthcare-associated infection. To guide infection prevention and control (IPC) interventions and inform clinical risk assessments, more needs to be known about microbial surface bioburdens. To identify the trends in culturable bacterial contamination across communal touch sites over time in a hospital setting. Swab samples were collected over nine weeks from 22 communal touch sites in a paediatric bone marrow transplant unit. Samples were cultured on Columbia blood agar and aerobic colony counts (ACC) per 100 cm2 were established for each site. Individual colony morphologies were grouped and identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry or 16s rDNA sequencing. Highest mean counts were observed for sites associated with ward management activity and computer devices (3.29 and 2.97 ACC/100 cm2 respectively). A nurses' station keyboard had high mean ACC/100 cm2 counts (10.67) and diversity, while laundry controls had high mean ACC/100 cm2 counts (4.70) and low diversity. Micrococcus luteus was identified in all sampling groups. Clinical staff usage sites were contaminated with similar proportions of skin and environmental flora (52.19–46.59% respectively), but sites associated with parental activities were predominantly contaminated by environmental microflora (86.53%). The trends observed suggest patterns in microbial loading based on site activities, surface types and user groups. Improved understanding of environmental surface contamination could help support results interpretation and IPC interventions, improving patient safety.