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Microbiol Res . Investigation of healthcare-associated COVID-19 in a large French hospital group by whole-genome sequencing

tetano

Editor, Senior Moderator
Microbiol Res


. 2022 Jul 22;263:127133.
doi: 10.1016/j.micres.2022.127133. Online ahead of print.
Investigation of healthcare-associated COVID-19 in a large French hospital group by whole-genome sequencing


Valentin Leducq[SUP] 1 [/SUP], Jeanne Couturier[SUP] 2 [/SUP], Benjamin Granger[SUP] 3 [/SUP], Sarah Jolivet[SUP] 2 [/SUP], Laurence Morand-Joubert[SUP] 4 [/SUP], Jérôme Robert[SUP] 5 [/SUP], Michel Denis[SUP] 6 [/SUP], Beatrice Salauze[SUP] 7 [/SUP], Valérie Goldstein[SUP] 8 [/SUP], Karen Zafilaza[SUP] 9 [/SUP], Pierre Rufat[SUP] 10 [/SUP], Anne-Geneviève Marcelin[SUP] 9 [/SUP], Aude Jary[SUP] 9 [/SUP], Frédéric Barbut[SUP] 2 [/SUP]



Affiliations

Abstract

Objectives: Despite the quick implementation of infection prevention and control procedures and the use of personal protective equipment within healthcare facilities, many cases of nosocomial COVID-19 transmission have been reported. We aimed to estimate the frequency and impact of healthcare-associated COVID-19 (HA-COVID-19) and evaluate the contribution of whole-genome sequencing (WGS) in cluster investigation.
Methods: We estimated the frequency and mortality of HA-COVID-19 infections from September 1 to November 30, 2020, with a focus on the evolution of hospitalized community-associated COVID-19 (CA-COVID-19) cases and cases detected among healthcare workers (HCWs) within the Sorbonne University Hospital Group (Paris, France). We thoroughly examined 12 clusters through epidemiological investigations and WGS.
Results: Overall, 209 cases of HA-COVID-19 were reported. Evolution of HA-COVID-19 incidence closely correlated with the incidence of CA-COVID-19 and COVID-19 among HCWs. During the study period, 13.9 % of hospitalized patients with COVID-19 were infected in the hospital and the 30-day mortality rate of HA-COVID-19 was 31.5 %. Nosocomial transmission of SARS-CoV-2 led to clusters involving both patients and HCWs. WGS allowed the exclusion of one-third of cases initially assigned to a cluster.
Conclusions: WGS analysis combined with comprehensive epidemiological investigations is essential to understand transmission routes and adapt the IPC response to protect both patients and HCWs.

Keywords: Epidemiology; Healthcare-Associated infection; Infection control; Severe acute respiratory syndrome coronavirus 2; Whole genome sequencing.
 
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