Hostname: page-component-848d4c4894-pjpqr Total loading time: 0 Render date: 2024-06-27T05:36:07.741Z Has data issue: false hasContentIssue false

Risk factors for methicillin-resistant Staphylococcus aureus colonization in a level-IV neonatal intensive care unit: a retrospective study

Published online by Cambridge University Press:  31 October 2023

Julia Elzbieta Galuszka*
Affiliation:
Department of Neonatology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
Kim Thomsen
Affiliation:
Department of Clinical Microbiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
Jenny Dahl Knudsen
Affiliation:
Department of Clinical Microbiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
Rikke Louise Stenkjaer
Affiliation:
Department of Neonatology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
Rikke Nielsen
Affiliation:
Department of Clinical Microbiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
Karen Leth Nielsen
Affiliation:
Department of Clinical Microbiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
Andreas Petersen
Affiliation:
Statens Serum Institut, Denmark
Barbara Juliane Holzknecht
Affiliation:
Department of Clinical Microbiology, Copenhagen University Hospital, Herlev and Gentofte, Herlev, Denmark Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
Mette Damkjaer Bartels
Affiliation:
Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark Department of Clinical Microbiology, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark
Morten Breindahl
Affiliation:
Department of Neonatology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
Lise Aunsholt
Affiliation:
Department of Neonatology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark Comparative Pediatrics and Nutrition, University of Copenhagen, Copenhagen, Denmark
*
Corresponding author: Julia Elzbieta Galuszka; Email: julia.elzbieta.galuszka@regionh.dk

Abstract

Objective:

To identify risk factors associated with methicillin-resistant Staphylococcus aureus (MRSA) colonization in neonatal patients during an MRSA outbreak to minimize future outbreaks.

Design:

Retrospective case-control study.

Setting:

Level-IV neonatal intensive care unit (NICU) at Copenhagen University Hospital, Rigshospitalet, Denmark.

Patients:

Neonates with either MRSA or methicillin-susceptible Staphylococcus aureus (MSSA)

Methods:

Methicillin-resistant Staphylococcus aureus-positive neonates were matched with those colonized or infected with MSSA in a 1:1 ratio. The control group was selected from clinical samples, whereas MRSA-positive neonates were identified from clinical samples or from screening. A total of 140 characteristics were investigated to identify risk factors associated with MRSA acquisition. The characteristics were categorized into three categories: patient, unit, and microbiological characteristics.

Results:

Out of 1,102 neonates screened for MRSA, between December 2019 and January 2022, 33 were MRSA positive. They were all colonized with an MRSA outbreak clone (spa type t127) and were included in this study. Four patients (12%) had severe infection. Admission due to respiratory diseases, need for intubation, need for peripheral venous catheters, admission to shared rooms with shared toilets and bath facilities in the aisles, and need for readmission were all correlated with later MRSA colonization (P < 0.05).

Conclusion:

We identified clinically relevant diseases, procedures, and facilities that predispose patients to potentially life-threatening MRSA infections. A specific MRSA reservoir remains unidentified; however, these findings have contributed to crucial changes in our NICU to reduce the number of MRSA infections and future outbreaks.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

Introduction

Neonates admitted to a neonatal intensive care unit (NICU) are susceptible to colonization and infection by bacteria because of their low birth weight, long hospital stay, and the need for invasive procedures. Reference Nelson and Gallagher1Reference Simon, Dresbach and Muller4 Methicillin-susceptible Staphylococcus. aureus (MSSA) and methicillin-resistant S. aureus (MRSA) are among the most prevalent pathogenic bacteria found in NICUs. Reference Nelson and Gallagher1,Reference Popoola, Colantuoni and Suwantarat3 Although MRSA and MSSA both cause a variety of infections, ranging from mild skin infections to sepsis, the treatment of MRSA is more challenging because of its resistance to standard anti-staphylococcal β-lactam antibiotics. Reference John5 Although both MSSA and MRSA have been shown to cause outbreaks in NICUs, the focus has mainly been on MRSA outbreaks reported in various NICUs, with several risk factors investigated. Reference Nelson and Gallagher1,Reference Bhatta, Subramanya and Hamal2,Reference Ramsing, Arpi and Andersen6Reference Cremers, Coolen and Bleeker-Rovers13

Methicillin-resistant S. aureus may be transmitted directly from asymptomatic carriers (eg parents and health care professionals (HCPs)) or indirectly by contact with contaminated objects or environmental surfaces, where it can survive on dry surfaces for months. Reference Kramer, Schwebke and Kampf14Reference Plipat, Spicknall, Koopman and Eisenberg16 Close contact between admitted neonates and HCPs, parents, and the environment facilitates bacterial flora exchange and colonization, with a subsequent risk of infection. Reference Nelson and Gallagher1,Reference Bhatta, Subramanya and Hamal2,Reference Simon, Dresbach and Muller4,Reference Milstone, Voskertchian and Koontz17

Denmark is considered to have a low MRSA prevalence with 1–2% methicillin resistance in S. aureus. Reference Petersen, Larssen and Gran18,Reference Duarte, Høg and Korsgaard19 Despite this, a unique outbreak of MRSA (spa type t127) has been ongoing since 2019 in our level-IV NICU at Copenhagen University Hospital, Rigshospitalet, Denmark. This study aimed to identify potential risk factors associated with MRSA colonization compared to neonates with MSSA with the purpose of enhancing the capability to reduce future outbreaks. This was accomplished by performing a multifactorial retrospective investigation, in which the patient, unit, and microbiological characteristics during admission to our NICU were identified and analyzed while concurrently evaluating and adapting the department’s handling of the outbreak.

Materials and methods

This single-center retrospective study was approved by the Danish Patient Safety Authority (approval number R-21048862), without the need for parental consent. The study was conducted in a highly specialized level-IV NICU (defined by competencies in infant surgery, including cardiac surgery and extracorporeal membrane oxygenation) at Copenhagen University Hospital, Rigshospitalet, Denmark.

Neonatal intensive care unit setting

Approximately 1,200 neonates between the gestational age of 23 weeks and 2 years of age are admitted to the NICU annually. The NICU employed 160 nurses, 30 physicians, and 20 staff. It is divided into two units: one for neonates with gestational age ≥ 34 weeks (mature) and the other for neonates with gestational age < 34 weeks (premature). The latter group of neonates had an average length of hospital stay of 73 days. 20 There is a high level of collaboration between HCPs in the 2 units, and all shared areas are utilized by HCPs from both units. Health care professionals in our NICU include all employees in the department, including service and administrative staff, nurses, doctors, and leaders. All nurses can perform respiratory care for the neonates if needed. Seventeen rooms were dedicated to the 33 neonates, with one parental bed beside each neonate. Most rooms are shared. In 7 of the 17 rooms, parents had access to separate toilets and bath facilities; parents situated in the remaining rooms shared 2 toilets with bath facilities accessed from the aisles. Furthermore, all the parents shared 1 kitchen. Parents are actively involved in the daily caregiving of neonates with unrestricted access 24/7/365, using a family-centered care approach.

Methicillin-resistant S. aureus screening in the capital region of Denmark

In the Capital Region of Denmark, neonates who were step-down transferred from the level-IV to the level-II NICU (defined as providing intensive care for sick and premature newborns who do not require mechanical respiratory care) were isolated at arrival and kept in isolation until negative screening results. Neonates transferred to the level-IV NICU were screened for MRSA upon arrival but were not isolated. This is explained by the high transfer activity, limited number of rooms, and shortage of staff. If needed isolation was initiated. In the case of a positive test result in a neonate after step-down transfer, all neonates at discharging level-IV NICU were screened for MRSA. If a MRSA-positive case was identified, screenings were performed weekly for 3 consecutive weeks. Longitudinal screenings were omitted in case of negative test results exclusively. Details regarding the screening are presented in Table 1.

Table 1. All initiatives initiated by the task force group consisting of health care professionals (HCPs) from the Neonatal Intensive Care Unit (NICU) and Department of Clinical Microbiology in the NICU during the outbreak period

* This screening was only performed on 1 of the nursing teams (mature) due to individual circumstances in of 1 of the patients in the team.

Study design and data collection

We reviewed patient file information from neonates admitted to the NICU between December 2019 and January 2022. Of the 45 MRSA-positive neonates, 33 were MRSA-positive for spa type t127. All infants tested positive for MRSA were newborn NICU patients, and infants older than neonate, were not included in this study. Neonates of similar gestational age who were admitted in the same period with confirmed cultures of MSSA were used as matching controls in a 1:1 ratio. Methicillin-susceptible Staphylococcus aureus was selected as a control because of its similar microbiological characteristics and pathogenesis.

Demographic characteristics and variables were collected from the medical records of all neonates. The 140 investigated variables were divided into three subcategories: (1) patient, (2) unit, and (3) microbiological characteristics (including treatment with antibiotics and MRSA testing). The variables were selected based on variables and findings identified in previous studies. Reference Ramsing, Arpi and Andersen6,Reference Shirai, Arai and Tamaki12

Microbiology laboratory methods

At the Department of Clinical Microbiology at Rigshospitalet screening samples from each neonate were pooled for culture and inoculated in MRSA enrichment broth (Tryptic Soy Broth (TSB) containing 2.5% salt, 3.5 mg/L cefoxitin, and 20 mg/L aztreonam) for overnight incubation at 35oC. Methicillin-resistant Staphylococcus aureus DNA in the TSB culture was identified using the BD MAX StaphSR Kit, according to the manufacturer’s protocol (BD Diagnostics, Sparks, MD, USA). TSB cultures were plated on CHROMID® MRSA agar (bioMérieux Diagnostics, Marcy l’Etoile, France), and MRSA colonies were identified and confirmed by MALDI-TOF MS (Bruker Daltonik GmbH, Bremen, Germany). The presumptive growth of MRSA in the clinical samples was identified using MALDI-TOF MS. Subsequent MRSA DNA was detected using the Xpert® MRSA NxG test on the GeneXpert® Dx System (Cepheid, Sunnyvale, CA, USA). Nose, throat, and perineal samples from neonates transferred from the NICU at Rigshospitalet were tested at the Department of Clinical Microbiology at the Amager Hvidovre Hospital and Herlev Gentofte Hospital. Each sample was inoculated into MRSA enrichment broth (TSB containing 2.5% salt, 3.5 mg/L cefoxitin, and 20 mg/L aztreonam) for overnight incubation at 35oC and then plated on MRSA CHROMagarTM (CHROMagar, Paris, France). Due to the elevated risk of false positive outcomes associated with the GeneExpert test, the department was advised to exclusively depend on targeted polymerase chain reaction testing throughout the course of this outbreak.

All isolates underwent antimicrobial susceptibility testing in accordance with the guidelines of the European Committee on Antimicrobial Susceptibility Testing. Reference Matuschek, Brown and Kahlmeter21 Thirty of the 33 samples were available for WGS performed at Rigshospitalet (n = 17), the National Reference Laboratory for Antimicrobial Resistance at the Statens Serum Institute (n = 5), or the Amager-Hvidovre Hospital (n = 8) on the MiSeq or NextSeq Illumina platforms. All raw reads were analyzed using Rigshospitalet with BacDist to determine genetic relationships, and nucleotide polymorphisms were determined using GenBank accession number NC_007795 as the reference genome. Reference Gabrielaite and Misiakou22 Multi-Locus Sequence Typing (MLST) types were determined with PubMLST from assemblies generated with Shovill using SPAdes. Reference Seemann, Edwards, Goncalves da Silva and Kiil23,Reference Seemann and Goncalves da Silva24

Statistical analysis

Categorical and numerical data were summarized using the table-one package in R. Reference Yoshida and Bartel25 The distribution of numerical variables was determined using the Shapiro test. All statistical analyses were performed using MSSA, as the control group. The least Angle Shrinkage and Selection Operator with k-fold cross-validation (k = 10) were used to select predictive variables. This was done due to the relatively small population and to eliminate the possibility of confounding variables. Predictive coefficients were determined based on a high number of coefficients relative to the sample size. Variables with only 1-factor level or fewer than 6 observations for at least 1 group were excluded from statistical analysis. Sub-variables (marked with italics in the Supplementary Material (S1)) were only included in further analysis if the parent variable was selected as a predictive coefficient by the Least Angle Shrinkage and Selection Operator. By performing Least Angle Shrinkage and Selection Operator it was possible to perform univariate logistic regression analysis with a 95% significance level for the 10 most predictive coefficients determined by the Least Angle Shrinkage and Selection Operator. Odds ratios were determined using univariate logistic regression analysis. Statistical analyses were performed using R software for Windows (version 4.1.2). 26

Results

Out of the 2,472 neonates admitted to the NICU during the study period, 1,102 were screened for MRSA. Of these, 33 cases (3%) were identified with a positive culture of MRSA (spa type t127) of which 4 developed a severe MRSA infection. Baseline MRSA infections were lower than national incidence of 1,6% in S. aureus bacteremia cases.

Outbreak description

The index case of the outbreak was identified as an isolate from the respiratory tract in December 2019. The outbreak was confirmed in January 2020 when 2 additional neonates had the same MRSA strains. Of the remaining 30 neonates, 17 were culture-positive upon transfer to another NICU. Cases were often adjacent to each other as shown in the epicurve of this outbreak in Figure 1.

Figure 1. An epicurve of all 33 cases of MRSA in the NICU over the course of the study in months. Each cell represents 1 MRSA-positive neonate, and the cells are grayscale-coded after the place of identification of the MRSA.

The index neonate was hospitalized for approximately 2 months due to a congenital disease and the need for surgery. During admission, the neonate was critically ill and received numerous invasive interventions. The neonate died of the disease during admission.

Infection cases

Four of the 33 neonates developed clinical infection. Three were hospitalized because of immaturity and developed sepsis with MRSA-positive blood cultures during admission. The 4th neonate was hospitalized due to respiratory and urogenital disease and developed pyelonephritis caused by MRSA. After discharge, the neonate was readmitted due to symptoms of sepsis. All 4 patients received intensive care, including respiratory support and antibiotic treatment.

Outcome measures

Table 2 presents the main variables investigated in this study. An extended version of Table 2, containing sub-variables, is available in the Supplementary Material (S1). The predictive coefficients identified by statistical analysis are listed in Table 3.

Table 2. Main variables were collected from medical records of neonates with MRSA or MSSA. All variables were collected from time of admission to discharge from our Level-IV NICU. An extended version with sub-variables is available in Supplementary Material (S1). Categorical variables are summarized as absolute counts and percentages and numerical variables are summarized by their means and standard deviations or by their medians and interquartile ranges (IQR). Variables are divided into 3 categories (marked in dark gray) with subcategories (marked in light gray)

a PVC = peripheral venous catheter.

b CVC = Central venous catheter.

c UVC = Umbilical venous catheter.

d UAC = Umbilical artery catheter.

e LL = Long line.

f CPAP = Continuous positive airway pressure.

g HF = High flow.

h NIV = Noninvasive ventilation.

i ECMO = Extracorporeal membrane oxygenation.

j Each neonate can be included several times if the neonate has been colonized in several places.

k These are pooled samples; that is, we do not know if the neonate is positive in 1, 2, or 3 places.

Table 3. The predictive coefficients selected by LASSO and P-values for these coefficients were determined by ULR for MSSA as control group for MRSA.

* Statistically significant results (P < 0.05) are marked with asterisks.

a OR = Odds Ratio.

b CI = Confidence interval.

c PVC = Peripheral venous catheter.

d HF = High flow.

Patient and unit results

Having a respiratory underlying medical condition (UMC) was predictive of later colonization with MRSA when compared to MSSA (OR 11.4, 95% CI 2.98-78.0, P < 0.01). Respiratory UMC includes respiratory insufficiency, pneumonia, bronchitis, bronchopulmonary dysplasia, hydrothorax, and cystic fibrosis.

Furthermore, intubation during admission was predictive of later MRSA colonization (OR 6.25, 95% CI 2.21-19.3, P < 0.01), whereas other types of respiratory support were not selected as predictive coefficients for later MRSA colonization. Likewise, the application of peripheral venous catheters increased the risk for later MRSA colonization when compared with MSSA (OR 16, 95% CI 2.81-303, P < 0.05).

Admission to the premature unit (OR 7.75, 95% CI 1.85-53.4, P < 0.05) as the first unit was a predictive characteristic of later MRSA colonization when compared to MSSA. Admission to the mature unit at any time (OR, 95% CI 6.13, 2.19-18.7, P < 0.01) was also a predictive characteristic when compared with MSSA. Additionally, the number of admissions was generally predictive of later MRSA colonization when compared with MSSA (OR 4.25, 95% CI 1.40-19.5, P < 0.05).

Initiatives in the neonatal intensive care unit

An interdisciplinary task force was established during this outbreak. It consisted of HCPs from the NICU and the Department of Clinical Microbiology. The group reviewed all cases of MRSA in the NICU with the hope of terminating the outbreak. All the outbreak control initiatives are described in detail in Table 1. The equipment (including the respiratory equipment) and patient rooms were inspected, and screening samples from the HCPs and environment were collected. This included ventilation ducts, electric breast milk pump machines, and incubators. No MRSA isolates were found in any environmental swabs, but two HCPs were positive for MRSA (spa type t127) in the second round of HCP screening.

Microbiological results

Out of 33 MRSA-positive neonates, 17 were found by screening and were thus considered colonized and not infected. IOut of the remaining 16 neonates, MRSA was detected through clinically relevant testing due to suspected infection. Methicillin-susceptible Staphylococcus aureus was identified through clinically relevant testing exclusively. Phylogenetic analysis of the 30 MRSA isolates available for WGS revealed close clustering of all the isolates, thereby confirming the outbreak. The isolates were spa type t127, multi-locus sequence type 1 (ST1), and differed by only 1-24 SNPs, despite being collected over a two-year period (shown in Figure 2).

Figure 2. RAxML phylogenetic tree illustrating the genetic distance between 30 of the outbreak isolates presented in the context of which hospital they were collected from. The isolates are presented in chronological order (from top to bottom) from the beginning to the end of the study. The scale bar illustrates substitutions/sites.

Discussion/Conclusion

In this single-center retrospective study of an outbreak of MRSA t127, 33 neonates were colonized with MRSA, and 4 of these had an MRSA infection. Previous studies have documented the risk factors related to MRSA colonization in the NICU. Reference Ramsing, Arpi and Andersen6,Reference Shirai, Arai and Tamaki12 However, these studies have mainly focused on patient-, unit-, or treatment-related factors separately, or investigated a few factors, limiting the overall understanding of MRSA as a multifaceted problem. Therefore, this retrospective case-control study collectively investigated all conceivable aspects by examining 140 variables related to patient, unit, and microbiological characteristics.

We found that neonates with respiratory UMC had a higher risk of later MRSA colonization. Respiratory UMC entails increased activity around the airway and the potential need for intubation. This increases the risk of exchange of bacterial flora with co-patients or HCPs and the risk of contaminating respiratory devices (e.g., Beneveniste Valve, laryngoscope, etc.). As MRSA can survive on dry surfaces for a longer period, Reference Kramer, Schwebke and Kampf14,Reference Washam, Woltmann, Haberman, Haslam and Staat27 suboptimal disinfection may result in an MRSA reservoir on the equipment or in the surroundings. It has been shown that neonates colonized with MRSA were more likely to develop an MRSA infection when exposed to mechanical ventilation for a longer period. Reference Schuetz, Hogan and Reich28 However, in our study, there was no correlation with the total number of days of respiratory support.

Additionally, we found a correlation between later MRSA colonization and the insertion of peripheral venous catheters when compared to MSSA. Meanwhile, there was no correlation between the need for central venous catheters and subsequent MRSA colonization. One may speculate that establishing and maintaining peripheral venous catheters often necessitates multiple and repeated attempts during which the skin is perforated, especially in preterm neonates. There is no established procedure in the NICU for registering the number of attempts. In addition, central venous catheters are always placed during sterile procedures and are closely monitored using HCP.

Unsurprisingly, we found that frequent admission to rooms without separate parental toilets and bath facilities was associated with a greater risk of subsequent MRSA colonization. Shared facilities can potentially increase the possibility of an MRSA reservoir in the environment as parents could be MRSA-positive before isolation.

Numerous interventions were continuously implemented by an interdisciplinary task force group during the MRSA outbreak (Table 1). This involved practical changes in the environment, modifications to cleaning procedures, and revisions to specific protocols. Throughout the process, ongoing hygiene training was conducted, and the task force group delivered presentations and instructional sessions. An additional round of HCP testing was conducted where 2 HCPs tested positive, and they were both successfully treated for MRSA colonization. Health care professional screening also included staff from other departments that sometimes visited the neonatal ward, such as ophthalmologists but who had no positive findings for spa type t127. Furthermore, none of the environmental samples tested positive. A more comprehensive investigation of the environment was also conducted. The surgical facilities and the staff were not tested during the outbreak since the spa type was only found in neonates with a history of NICU admission. However, the purpose was to improve hygiene standards, potentially removing any reservoir, rather than to trace it. All interventions were implemented continuously to rapidly limit the outbreak why the impact of each intervention was undetectable.

During this outbreak, a specific MRSA strain was expected to be acquired mainly through HCPs and the environment, whereas MSSA strains could be acquired through family members. This may explain why the characteristics associated with the procedures and contact with HCPs were found to be risk factors for MRSA infection, although no concrete reservoirs have been identified.

This study had some limitations. In-house MRSA screening in neonates was performed irregularly. In case of a positive test in a neonate (often when transferred to a step-down unit), we initiated weekly screenings in the weeks following the identification of a new case. When all weekly screenings were negative for 3 consecutive weeks, the screenings were omitted. Therefore, some MRSA cases may have been missed and the outbreak prolonged. Additionally, the controls were neonates with clinical symptoms and subsequent positive cultures for MSSA, whereas 17 of the 33 MRSA-positive neonates were exclusively colonized. However, in a level-IV NICU, no neonates are considered healthy, and clinical samples are examined frequently, thus increasing the chance of finding most clinical cases with the 2 bacteria. Furthermore, the surfaces within the shared toilet facilities used by parents were not evaluated for MRSA, despite the relevance of this area for testing. We should have considered a quality improvement study early during the outbreak. This could potentially have reduced transmission of MRSA and disease in some neonates.

In summary, neonates with a respiratory UMC and the need for invasive procedures and respiratory support were at significantly increased risk of MRSA colonization during the outbreak. Furthermore, the risk increases with readmission, shared rooms, and toilet facilities, thereby indicating an environmental source. Despite the identification of several risk factors for MRSA colonization, new MRSA t127 cases were found after the study period, with the last known case in August 2022. As of December 2022, 44 neonates with the outbreak clone were identified without a new case 11 weeks prior to the study. This indicates that the source of MRSA in this level-IV NICU was not identified. The findings from this study have contributed to a series of crucial and fundamental changes in our approach within the department, with an increased emphasis on hygiene, particularly during invasive procedures, and maintaining a clean working environment. Furthermore, the results have facilitated a more in-depth analysis of HPC hygiene practices, leading to tailored educational initiatives based on these findings. Additionally, these findings have contributed to a more systematic testing approach with repetitive screening during outbreaks and efficient interdisciplinary cooperation. All measures may have limited the transmission of MRSA and other pathogens with the aim of avoiding harmful outbreaks of multidrug-resistant bacteria.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/ash.2023.482

Authorship and manuscript preparation

Julia Elzbieta Galuszka, Kim Thomsen, Jenny Dahl Knudsen, Rikke Louise Stenkjær, Rikke Nielsen, Andreas Petersen, Morten Breindahl, and Lise Aunsholt have contributed to the design of the study, extraction of data, and drafting of the manuscript. Julia Elzbieta Galuszka, Kim Thomsen, Jenny Dahl Knudsen, Rikke Louise Stenkjær, Rikke Nielsen, Karen Leth Nielsen, Andreas Petersen, Barbara Juliane Holzknecht, Mette Damkjaer Bartels, Morten Breindahl, and Lise Aunsholt have contributed to epidemiological and molecular outbreak investigation and management, and critical revision of the manuscript. All authors approved the final version of the manuscript. Julia Elzbieta Galuszka and Lise Aunsholt were responsible for the data analysis with essential assistance from the Section of Biostatistics, University of Copenhagen. The data is available to the editors, reviewers, and readers upon contact with the corresponding author.

Financial support

There was no external funding for the study.

Competing interests

There was no conflict of interest.

References

Nelson, MU, Gallagher, PG. Methicillin-resistant Staphylococcus aureus in the neonatal intensive care unit. Semin Perinatol 2012;36:424430.CrossRefGoogle ScholarPubMed
Bhatta, DR, Subramanya, SH, Hamal, D, et al. Bacterial contamination of neonatal intensive care units: how safe are the neonates? Antimicrob Resist Infect Control 2021;10:26.CrossRefGoogle ScholarPubMed
Popoola, VO, Colantuoni, E, Suwantarat, N, et al. Active surveillance cultures and decolonization to reduce staphylococcus aureus infections in the neonatal intensive care unit. Infect Control Hosp Epidemiol 2016;37:381387.CrossRefGoogle ScholarPubMed
Simon, A, Dresbach, T, Muller, A. Methicillin-resistant Staphylococcus aureus Decolonization in Neonates and Children. Pediatr Infect Dis J 2018;37:612614.CrossRefGoogle ScholarPubMed
John, J Jr. The treatment of resistant staphylococcal infections. F1000Res 2020;9:F1000 Faculty Rev-150.Google ScholarPubMed
Ramsing, BG, Arpi, M, Andersen, EA, et al. First outbreak with MRSA in a Danish neonatal intensive care unit: risk factors and control procedures. PLoS One 2013;8:p.e66904-e.CrossRefGoogle Scholar
Gideskog, M, Melhus, A. Outbreak of methicillin-resistant staphylococcus aureus in a hospital center for children’s and women’s health in a Swedish county. APMIS 2019;127:181186.CrossRefGoogle Scholar
Shachor-Meyouhas, Y, Eluk, O, Geffen, Y, et al. Containment of a methicillin-resistant Staphylococcus aureus (MRSA) outbreak in a neonatal intensive care unit. IMAJ 2018;20:491495.Google Scholar
Semple, A, O’Currain, E, O’Donovan, D, et al. Successful termination of sustained transmission of resident MRSA following extensive NICU refurbishment: an intervention study. J Hosp Infect 2018;100:329336.CrossRefGoogle ScholarPubMed
Garcia, CP, Rosa, JF, Cursino, MA, et al. Non-multidrug-resistant, methicillin-resistant Staphylococcus aureus in a neonatal unit. Pediatr Infect Dis J 2014;33:p.e252-e9.CrossRefGoogle Scholar
Reich, PJ, Boyle, MG, Hogan, PG, et al. Emergence of community-associated methicillin-resistant Staphylococcus aureus strains in the neonatal intensive care unit: an infection prevention and patient safety challenge. Clin Microbiol Infect 2016;22:p.645.e1-.e8.CrossRefGoogle ScholarPubMed
Shirai, Y, Arai, H, Tamaki, K, et al. Neonatal methicillin-resistant Staphylococcus aureus colonization and infection. J Neonatal Perinatal Med 2017;10:439444.CrossRefGoogle ScholarPubMed
Cremers, AJH, Coolen, JPM, Bleeker-Rovers, CP, et al. Surveillance-embedded genomic outbreak resolution of methicillin-susceptible Staphylococcus aureus in a neonatal intensive care unit. Sci Rep 2020;10:2619.CrossRefGoogle Scholar
Kramer, A, Schwebke, I, Kampf, G. How long do nosocomial pathogens persist on inanimate surfaces? A systematic review. BMC Infect Dis 2006;6:130.CrossRefGoogle Scholar
Bharadwaj, S, Ho, SK, Khong, KC, et al. Eliminating MRSA transmission in a tertiary neonatal unit-A quality improvement initiative. Am J Infect Control 2019;47:13291335.CrossRefGoogle Scholar
Plipat, N, Spicknall, IH, Koopman, JS, Eisenberg, JN. The dynamics of methicillin-resistant Staphylococcus aureus exposure in a hospital model and the potential for environmental intervention. BMC Infect Dis 2013;13:595.CrossRefGoogle Scholar
Milstone, AM, Voskertchian, A, Koontz, DW, et al. Effect of treating parents colonized with staphylococcus aureus on transmission to neonates in the intensive care unit: a randomized clinical trial. JAMA 2020;323:319328.CrossRefGoogle ScholarPubMed
Petersen, A, Larssen, KW, Gran, FW, et al. Increasing incidences and clonal diversity of methicillin-resistant Staphylococcus aureus in the nordic countries - results from the Nordic MRSA surveillance. Front Microbiol 2021;12:668900.CrossRefGoogle ScholarPubMed
Duarte, ASR, Høg, BB, Korsgaard, H, et al. DANMAP 2020: use of antimicrobial agents and occurrence of antimicrobial resistance in bacteria from food animals, food and humans in Denmark. Statens Serum Institut and Technical University of Denmark. 2021 (DANMAP). https://www.ssi.dk/-/media/arkiv/subsites/antibiotikaresistens/danmap_2020_07102021_version-2_low.pdf. Accessed March 10, 2022.Google Scholar
Vermont Oxford Network Welcome to Vermont Oxford Network. https://portal.vtoxford.org/home. Accessed June 9, 2022.Google Scholar
Matuschek, E, Brown, DF, Kahlmeter, G. Development of the EUCAST disk diffusion antimicrobial susceptibility testing method and its implementation in routine microbiology laboratories. Clin Microbiol Infect 2014;20:O25566.CrossRefGoogle ScholarPubMed
Gabrielaite, M, Misiakou, MA. BacDist. Published 2020. https://github.com/MigleSur/BacDist. Accessed June 8, 2022.Google Scholar
Seemann, T, Edwards, R, Goncalves da Silva, A, Kiil, K. Shovill. Published 2020. https://github.com/tseemann/shovill. Accessed June 8, 2022.Google Scholar
Seemann, T, Goncalves da Silva, A. MLST. Published 2022. https://github.com/tseemann/mlst. Accessed June 8, 2022.Google Scholar
Yoshida, K, Bartel, A. Tableone: create ‘Table 1’ to describe baseline characteristics with or without propensity score weights. 0.13.0 ed2021. https://cran.r-project.org/web/packages/tableone/index.html. Accessed March 4, 2022.Google Scholar
R-CoreTeam. R: a language and environment for statistical computing. R Foundation for Statistical Computing. 4.1.2 ed2021. https://www.r-project.org. Accessed March 4, 2022.Google Scholar
Washam, M, Woltmann, J, Haberman, B, Haslam, D, Staat, MA. Risk factors for methicillin-resistant Staphylococcus aureus colonization in the neonatal intensive care unit: a systematic review and meta-analysis. Am J Infect Control 2017;45:13881393.CrossRefGoogle ScholarPubMed
Schuetz, CR, Hogan, PG, Reich, PJ, et al. Factors associated with progression to infection in methicillin-resistant Staphylococcus aureus-colonized, critically ill neonates. J Perinatol 2021;41:12851292.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. All initiatives initiated by the task force group consisting of health care professionals (HCPs) from the Neonatal Intensive Care Unit (NICU) and Department of Clinical Microbiology in the NICU during the outbreak period

Figure 1

Figure 1. An epicurve of all 33 cases of MRSA in the NICU over the course of the study in months. Each cell represents 1 MRSA-positive neonate, and the cells are grayscale-coded after the place of identification of the MRSA.

Figure 2

Table 2. Main variables were collected from medical records of neonates with MRSA or MSSA. All variables were collected from time of admission to discharge from our Level-IV NICU. An extended version with sub-variables is available in Supplementary Material (S1). Categorical variables are summarized as absolute counts and percentages and numerical variables are summarized by their means and standard deviations or by their medians and interquartile ranges (IQR). Variables are divided into 3 categories (marked in dark gray) with subcategories (marked in light gray)

Figure 3

Table 3. The predictive coefficients selected by LASSO and P-values for these coefficients were determined by ULR for MSSA as control group for MRSA.

Figure 4

Figure 2. RAxML phylogenetic tree illustrating the genetic distance between 30 of the outbreak isolates presented in the context of which hospital they were collected from. The isolates are presented in chronological order (from top to bottom) from the beginning to the end of the study. The scale bar illustrates substitutions/sites.

Supplementary material: File

Galuszka et al. supplementary material
Download undefined(File)
File 32.5 KB