Uncovering Infant Group B Streptococcal (GBS) Disease Clusters in the United Kingdom and Ireland Through Genomic Analysis: A Population-based Epidemiological Study. (7th August 2020)
- Record Type:
- Journal Article
- Title:
- Uncovering Infant Group B Streptococcal (GBS) Disease Clusters in the United Kingdom and Ireland Through Genomic Analysis: A Population-based Epidemiological Study. (7th August 2020)
- Main Title:
- Uncovering Infant Group B Streptococcal (GBS) Disease Clusters in the United Kingdom and Ireland Through Genomic Analysis: A Population-based Epidemiological Study
- Authors:
- Collin, Simon M
Groves, Natalie
O'Sullivan, Catherine
Jauneikaite, Elita
Patel, Darshana
Cunney, Robert
Meehan, Mary
Reynolds, Arlene
Smith, Andrew
Lindsay, Diane
Doherty, Lorraine
Davies, Eleri
Chalker, Victoria
Lamb, Peter
Afshar, Baharak
Balasegaram, Sooria
Coelho, Juliana
Ready, Derren
Brown, Colin S
Efstratiou, Androulla
Le Doare, Kirsty
Sriskandan, Shiranee
Heath, Paul T
Lamagni, Theresa - Abstract:
- Abstract: Background: The true frequency of hospital outbreaks of invasive group B streptococcal (iGBS; Streptococcus agalactiae ) disease in infants is unknown. We used whole genome sequencing (WGS) of iGBS isolates collected during a period of enhanced surveillance of infant iGBS disease in the UK and Ireland to determine the number of clustered cases. Methods: Potentially linked iGBS cases from infants with early (<7 days of life) or late-onset (7–89 days) disease were identified from WGS data (HiSeq 2500 platform, Illumina) from clinical sterile site isolates collected between 04/2014 and 04/2015. We assessed time and place of cases to determine a single-nucleotide polymorphism (SNP) difference threshold for clustered cases. Case details were augmented through linkage to national hospital admission data and hospital record review by local microbiologists. Results: Analysis of sequences indicated a cutoff of ≤5 SNP differences to define iGBS clusters. Among 410 infant iGBS isolates, we identified 7 clusters (4 genetically identical pairs with 0 SNP differences, 1 pair with 3 SNP differences, 1 cluster of 4 cases with ≤1 SNP differences) of which 4 clusters were uncovered for the first time. The clusters comprised 16 cases, of which 15 were late-onset (of 192 late-onset cases with sequenced isolates) and 1 an early-onset index case. Serial intervals between cases ranged from 0 to 59 (median 12) days. Conclusions: Approximately 1 in 12 late-onset infant iGBS cases were partAbstract: Background: The true frequency of hospital outbreaks of invasive group B streptococcal (iGBS; Streptococcus agalactiae ) disease in infants is unknown. We used whole genome sequencing (WGS) of iGBS isolates collected during a period of enhanced surveillance of infant iGBS disease in the UK and Ireland to determine the number of clustered cases. Methods: Potentially linked iGBS cases from infants with early (<7 days of life) or late-onset (7–89 days) disease were identified from WGS data (HiSeq 2500 platform, Illumina) from clinical sterile site isolates collected between 04/2014 and 04/2015. We assessed time and place of cases to determine a single-nucleotide polymorphism (SNP) difference threshold for clustered cases. Case details were augmented through linkage to national hospital admission data and hospital record review by local microbiologists. Results: Analysis of sequences indicated a cutoff of ≤5 SNP differences to define iGBS clusters. Among 410 infant iGBS isolates, we identified 7 clusters (4 genetically identical pairs with 0 SNP differences, 1 pair with 3 SNP differences, 1 cluster of 4 cases with ≤1 SNP differences) of which 4 clusters were uncovered for the first time. The clusters comprised 16 cases, of which 15 were late-onset (of 192 late-onset cases with sequenced isolates) and 1 an early-onset index case. Serial intervals between cases ranged from 0 to 59 (median 12) days. Conclusions: Approximately 1 in 12 late-onset infant iGBS cases were part of a hospital cluster. Over half of the clusters were previously undetected, emphasizing the importance of routine submission of iGBS isolates to reference laboratories for cluster identification and genomic confirmation. Abstract : We used whole genome sequencing data from invasive group B Streptococcus isolates from a 13-month period of national enhanced surveillance in the United Kingdom and Ireland to identify 7 clusters, 4 of which had not been detected when they first occurred. … (more)
- Is Part Of:
- Clinical infectious diseases. Volume 72:Number 9(2021)
- Journal:
- Clinical infectious diseases
- Issue:
- Volume 72:Number 9(2021)
- Issue Display:
- Volume 72, Issue 9 (2021)
- Year:
- 2021
- Volume:
- 72
- Issue:
- 9
- Issue Sort Value:
- 2021-0072-0009-0000
- Page Start:
- e296
- Page End:
- e302
- Publication Date:
- 2020-08-07
- Subjects:
- group B streptococcal disease -- infant -- cluster -- healthcare-associated infection -- whole genome sequencing
Communicable diseases -- Periodicals
616.905 - Journal URLs:
- http://cid.oxfordjournals.org ↗
http://ukcatalogue.oup.com/ ↗
http://www.journals.uchicago.edu/CID/journal ↗
http://www.jstor.org/journals/10584838.html ↗ - DOI:
- 10.1093/cid/ciaa1087 ↗
- Languages:
- English
- ISSNs:
- 1058-4838
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.293860
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24944.xml