Use of whole-genome sequencing to detect an outbreak of Malassezia pachydermatis infection and colonization in a neonatal intensive care unit—California, 2015–2016

2020 ◽  
Vol 41 (7) ◽  
pp. 851-853 ◽  
Author(s):  
Nancy A. Chow ◽  
Raymond Chinn ◽  
Alice Pong ◽  
Kerry Schultz ◽  
Janice Kim ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Neonatal Intensive Care ◽  
Infection Prevention ◽  
Whole Genome ◽  
Prevention Measures ◽  
Malassezia Pachydermatis

AbstractWhole-genome sequencing confirmed the presence of a Malassezia pachydermatis outbreak among neonates in a neonatal intensive care unit. This technology supports the importance of adhering to infection prevention measures.

scholarly journals Transmission of Listeriosis in a Neonatal Intensive Care Unit Supported by Whole-Genome Sequencing

2020 ◽  
Vol 41 (S1) ◽  
pp. s53-s53
Author(s):  
Janice Kim ◽  
Hilary Rosen ◽  
Kristen Angel ◽  
Azarnoush Maroufi ◽  
Samantha Tweeten ◽  
...  
Keyword(s):  
Public Health ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Infection Control ◽  
Neonatal Intensive Care Unit ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Neonatal Intensive Care ◽  
Blood Cultures ◽  
Whole Genome

Background: Listeriosis is a rare but serious infectious disease caused by Listeria monocytogenes (LM) and predominantly transmitted through contaminated food. Moreover, 15% of listeriosis cases in the United States are pregnancy associated; nosocomial neonatal transmission in hospitals is extremely rare. In July 2018, the California Department of Public Health (CDPH) was notified of 4 patients, a mother–neonate pair and twin neonates, with listeriosis at the same hospital. The CDPH and San Diego County Health and Human Services Agency initiated an investigation to determine transmission and prevent additional infections. Methods: We reviewed medical records of the neonates and their mothers, interviewed the mothers with a detailed food exposure questionnaire, interviewed healthcare personnel (HCP), and performed an infection control assessment of the neonatal intensive care unit (NICU). CDPH performed whole-genome sequencing (WGS) on LM isolates that were then analyzed by whole-genome multilocus sequence typing (wgMLST) by the Centers for Diseases Control and Prevention (CDC) to assess relatedness in PulseNet, a public health laboratory database. The CDC also performed testing for LM on formalin-fixed placentas from the mother of the twins. Results: During a 1-week period, 4 patients with LM were identified at the hospital. A mother was admitted at 31 weeks gestation with acute abdominal and back pain that progressed with precipitous vaginal delivery and postpartum sepsis. Her neonate was resuscitated, transported to the NICU, underwent a sepsis evaluation, received antibiotics, and was transferred to another hospital within 6 hours. Maternal blood, placenta, and neonatal blood cultures grew LM. Twin neonates, born to an asymptomatic mother and present in the NICU during the index neonate’s stay, developed acute infection 4 and 6 days after the index neonate’s transfer; blood cultures confirmed LM. The LM isolates from the 4 patients were indistinguishable by wgMLST and were not related to other PulseNet isolates. LM was not detected in the twin placentas. There were no common food exposures between the mothers. At least 1 common HCP cared for all 3 neonates. Infection control lapses included lack of proper hand hygiene during the index neonate’s resuscitation and potentially after cleaning and disinfection of the neonate’s incubator. Conclusions: This report provides supportive evidence that nosocomial transmission of LM can occur during a brief NICU stay due to lapses in infection control practices. Strict adherence to standard precautions in the delivery room and NICU is imperative to prevent cross transmission.Disclosures: NoneFunding: None

Whole-genome sequencing for methicillin-resistant Staphylococcus aureus (MRSA) outbreak investigation in a neonatal intensive care unit

2018 ◽  
Vol 39 (12) ◽  
pp. 1412-1418 ◽  
Author(s):  
Theresa Madigan ◽  
Scott A. Cunningham ◽  
Robin Patel ◽  
Kerryl E. Greenwood-Quaintance ◽  
Jean E. Barth ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Neonatal Intensive Care ◽  
Control Strategies ◽  
Outbreak Investigation ◽  
Whole Genome ◽  
Environmental Cleaning

AbstractObjectiveTo evaluate whole-genome sequencing (WGS) as a molecular typing tool for MRSA outbreak investigation.DesignInvestigation of MRSA colonization/infection in a neonatal intensive care unit (NICU) over 3 years (2014–2017).SettingSingle-center level IV NICU.PatientsNICU infants and healthcare workers (HCWs).MethodsInfants were screened for MRSA using a swab of the anterior nares, axilla, and groin, initially by targeted (ring) screening, and later by universal weekly screening. Clinical cultures were collected as indicated. HCWs were screened once using swabs of the anterior nares. MRSA isolates were typed using WGS with core-genome multilocus sequence typing (cgMLST) analysis and by pulsed-field gel electrophoresis (PFGE). Colonized and infected infants and HCWs were decolonized. Control strategies included reinforcement of hand hygiene, use of contact precautions, cohorting, enhanced environmental cleaning, and remodeling of the NICU.ResultsWe identified 64 MRSA-positive infants: 53 (83%) by screening and 11 (17%) by clinical cultures. Of 85 screened HCWs, 5 (6%) were MRSA positive. WGS of MRSA isolates identified 2 large clusters (WGS groups 1 and 2), 1 small cluster (WGS group 3), and 8 unrelated isolates. PFGE failed to distinguish WGS group 2 and 3 isolates. WGS groups 1 and 2 were codistributed over time. HCW MRSA isolates were primarily in WGS group 1. New infant MRSA cases declined after implementation of the control interventions.ConclusionWe identified 2 contemporaneous MRSA outbreaks alongside sporadic cases in a NICU. WGS was used to determine strain relatedness at a higher resolution than PFGE and was useful in guiding efforts to control MRSA transmission.

Whole Genome Sequencing in Real-Time Investigation and Management of a Pseudomonas aeruginosa Outbreak on a Neonatal Intensive Care Unit

2015 ◽  
Vol 36 (9) ◽  
pp. 1058-1064 ◽  
Author(s):  
Rebecca J. Davis ◽  
Slade O. Jensen ◽  
Sebastiaan Van Hal ◽  
Björn Espedido ◽  
Adrienne Gordon ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Pseudomonas Aeruginosa ◽  
Intensive Care ◽  
Infection Control ◽  
Neonatal Intensive Care Unit ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Neonatal Intensive Care ◽  
Neonatal Unit ◽  
Whole Genome

OBJECTIVETo use whole genome sequencing to describe the likely origin of an outbreak of Pseudomonas aeruginosa in a neonatal unit.DESIGNOutbreak investigation.SETTINGThe neonatal intensive care unit service of a major obstetric tertiary referral center.PATIENTSInfants admitted to the neonatal unit who developed P. aeruginosa colonization or infection.METHODSWe undertook whole genome sequencing of P. aeruginosa strains isolated from colonized infants and from the neonatal unit environment.RESULTSEighteen infants were colonized with P. aeruginosa. Isolates from 12 infants and 7 environmental samples were sequenced. All but one of the clinical isolates clustered in ST253 and no differences were detected between unmapped reads. The environmental isolates revealed a variety of sequence types, indicating a large diverse bioburden within the unit, which was subsequently confirmed via enterobacterial repetitive intergenic consensus–polymerase chain reaction typing of post-outbreak isolates. One environmental isolate, obtained from a sink in the unit, clustered within ST253 and differed from the outbreak strain by 9 single-nucleotide polymorphisms only. This information allowed us to focus infection control activities on this sink.CONCLUSIONSWhole genome sequencing can provide detailed information in a clinically relevant time frame to aid management of outbreaks in critical patient management areas. The superior discriminatory power of this method makes it a powerful tool in infection control.Infect. Control Hosp. Epidemiol. 2015;36(9):1058–1064

Sign in / Sign up

Export Citation Format

Share Document