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Genomic investigation to identify the source of SARS-CoV-2 infection among healthcare personnel

Background: Contact tracing alone is often inadequate to determine the source of healthcare personnel (HCP) COVID-19 when SARS-CoV-2 is widespread in the community. We combined whole-genome sequencing (WGS) with traditional epidemiologic analysis to investigate the frequency with which patients or o...

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Autores principales: Sansom, Sarah, Barbian, Hannah, Snitkin, Evan, Fukuda, Christine, Moore, Nicholas, Thotapalli, Lahari, Baied, Elias, Kim, DO Young, Hayden, Mary, Lin, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614873/
http://dx.doi.org/10.1017/ash.2022.198
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author Sansom, Sarah
Barbian, Hannah
Snitkin, Evan
Fukuda, Christine
Moore, Nicholas
Thotapalli, Lahari
Baied, Elias
Kim, DO Young
Hayden, Mary
Lin, Michael
author_facet Sansom, Sarah
Barbian, Hannah
Snitkin, Evan
Fukuda, Christine
Moore, Nicholas
Thotapalli, Lahari
Baied, Elias
Kim, DO Young
Hayden, Mary
Lin, Michael
author_sort Sansom, Sarah
collection PubMed
description Background: Contact tracing alone is often inadequate to determine the source of healthcare personnel (HCP) COVID-19 when SARS-CoV-2 is widespread in the community. We combined whole-genome sequencing (WGS) with traditional epidemiologic analysis to investigate the frequency with which patients or other HCP with symptomatic COVID-19 acted as the source of HCP infection at a large tertiary-care center early in the pandemic. Methods: Cohort samples were selected from patients and HCP with PCR-positive SARS-CoV-2 infection from a period with complete retention of samples (March 14, 2021–April 10, 2020) at Rush University Medical Center, a 664-bed hospital in Chicago, Illinois. During this period, testing was limited to symptomatic patients and HCP. Recommended respiratory equipment for HCP evolved under guidance, including a 19-day period when medical face masks were recommended for COVID-19 care except for aerosol-generating procedures. Viral RNA was extracted and sequenced (NovaSeq, Illumina) from remnant nasopharyngeal swab samples in M4RT viral transport medium. Genomes with >90% coverage underwent cluster detection using a 2 single-nucleotide variant genetic distance cutoff. Genomic clusters were independently evaluated for valid epidemiologic links by 2 infectious diseases physicians (with a third adjudicator) using metadata extracted from the electronic medical record and according to predetermined criteria (Table 1). Results: In total, 1,031 SARS-CoV-2 sequences were analyzed, identifying 49 genomic clusters with HCP (median, 8; range, 2–43 members per cluster; total, 268 patients and 115 HCP) (Fig. 1). Also, 20,190 flowsheet activities were documented for cohort HCP and patient interactions, including 686 instances in which a cohort HCP contributed to a cohort patient’s chart. Most HCP infections were considered not healthcare associated (88 of 115, 76.5%). We did not identify any strong linkages for patient-to-HCP transmission. Moreover, 13 HCP cases (11.3%) were attributed to patient source (weak linkage). Also, 14 HCP cases (12.2%) were attributed to HCP source (11 strong and 3 weak linkages). Weak linkages were due to lack of epidemiologic data for HCP location, particularly nonclinical staff (eg, an environmental service worker who lacked location documentation to rule out patient-specific contact). Agreement for epidemiologic linkage between the 2 evaluators was high (κ, 0.91). Conclusions: Using genomic and epidemiologic data, we found that most HCP COVID-19 infections were not healthcare associated. We found weak evidence to support symptomatic patient-to-HCP transmission of SARS-CoV-2 and stronger evidence for HCP-to-HCP transmission. Large genomic clusters without plausible epidemiologic links were identified, reflecting the limited utility of genomic surveillance alone to characterize chains of transmission of SARS-CoV-2 during extensive community spread. Funding: None Disclosures: None
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spelling pubmed-96148732022-10-29 Genomic investigation to identify the source of SARS-CoV-2 infection among healthcare personnel Sansom, Sarah Barbian, Hannah Snitkin, Evan Fukuda, Christine Moore, Nicholas Thotapalli, Lahari Baied, Elias Kim, DO Young Hayden, Mary Lin, Michael Antimicrob Steward Healthc Epidemiol Covid-19 Background: Contact tracing alone is often inadequate to determine the source of healthcare personnel (HCP) COVID-19 when SARS-CoV-2 is widespread in the community. We combined whole-genome sequencing (WGS) with traditional epidemiologic analysis to investigate the frequency with which patients or other HCP with symptomatic COVID-19 acted as the source of HCP infection at a large tertiary-care center early in the pandemic. Methods: Cohort samples were selected from patients and HCP with PCR-positive SARS-CoV-2 infection from a period with complete retention of samples (March 14, 2021–April 10, 2020) at Rush University Medical Center, a 664-bed hospital in Chicago, Illinois. During this period, testing was limited to symptomatic patients and HCP. Recommended respiratory equipment for HCP evolved under guidance, including a 19-day period when medical face masks were recommended for COVID-19 care except for aerosol-generating procedures. Viral RNA was extracted and sequenced (NovaSeq, Illumina) from remnant nasopharyngeal swab samples in M4RT viral transport medium. Genomes with >90% coverage underwent cluster detection using a 2 single-nucleotide variant genetic distance cutoff. Genomic clusters were independently evaluated for valid epidemiologic links by 2 infectious diseases physicians (with a third adjudicator) using metadata extracted from the electronic medical record and according to predetermined criteria (Table 1). Results: In total, 1,031 SARS-CoV-2 sequences were analyzed, identifying 49 genomic clusters with HCP (median, 8; range, 2–43 members per cluster; total, 268 patients and 115 HCP) (Fig. 1). Also, 20,190 flowsheet activities were documented for cohort HCP and patient interactions, including 686 instances in which a cohort HCP contributed to a cohort patient’s chart. Most HCP infections were considered not healthcare associated (88 of 115, 76.5%). We did not identify any strong linkages for patient-to-HCP transmission. Moreover, 13 HCP cases (11.3%) were attributed to patient source (weak linkage). Also, 14 HCP cases (12.2%) were attributed to HCP source (11 strong and 3 weak linkages). Weak linkages were due to lack of epidemiologic data for HCP location, particularly nonclinical staff (eg, an environmental service worker who lacked location documentation to rule out patient-specific contact). Agreement for epidemiologic linkage between the 2 evaluators was high (κ, 0.91). Conclusions: Using genomic and epidemiologic data, we found that most HCP COVID-19 infections were not healthcare associated. We found weak evidence to support symptomatic patient-to-HCP transmission of SARS-CoV-2 and stronger evidence for HCP-to-HCP transmission. Large genomic clusters without plausible epidemiologic links were identified, reflecting the limited utility of genomic surveillance alone to characterize chains of transmission of SARS-CoV-2 during extensive community spread. Funding: None Disclosures: None Cambridge University Press 2022-05-16 /pmc/articles/PMC9614873/ http://dx.doi.org/10.1017/ash.2022.198 Text en © The Society for Healthcare Epidemiology of America 2022 https://creativecommons.org/licenses/by/4.0/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 in any medium, provided the original work is properly cited.
spellingShingle Covid-19
Sansom, Sarah
Barbian, Hannah
Snitkin, Evan
Fukuda, Christine
Moore, Nicholas
Thotapalli, Lahari
Baied, Elias
Kim, DO Young
Hayden, Mary
Lin, Michael
Genomic investigation to identify the source of SARS-CoV-2 infection among healthcare personnel
title Genomic investigation to identify the source of SARS-CoV-2 infection among healthcare personnel
title_full Genomic investigation to identify the source of SARS-CoV-2 infection among healthcare personnel
title_fullStr Genomic investigation to identify the source of SARS-CoV-2 infection among healthcare personnel
title_full_unstemmed Genomic investigation to identify the source of SARS-CoV-2 infection among healthcare personnel
title_short Genomic investigation to identify the source of SARS-CoV-2 infection among healthcare personnel
title_sort genomic investigation to identify the source of sars-cov-2 infection among healthcare personnel
topic Covid-19
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614873/
http://dx.doi.org/10.1017/ash.2022.198
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