Evidence map›Paper›PMID 35901580›Full record

ArticleMicrobiological research2022

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

Valentin Leducq, Jeanne Couturier, Benjamin Granger, Sarah Jolivet, Laurence Morand-Joubert, Jérôme Robert, Michel Denis, Beatrice Salauze, Valérie Goldstein, Karen Zafilaza and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiological research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Valentin LeducqSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié-Salpêtrière, Service de Virologie, Paris, France. Electronic address: valentin.leducq@sorbonne-universite.fr.
Jeanne CouturierUnité de Prévention du Risque Infectieux, Hôpital Saint-Antoine, GH Sorbonne Université, AP-HP, Paris, France.
Benjamin GrangerDépartement de Santé Publique, Hôpital de la Pitié-Salpêtrière, GH Sorbonne Université, AP-HP, Paris, France.
Sarah JolivetUnité de Prévention du Risque Infectieux, Hôpital Saint-Antoine, GH Sorbonne Université, AP-HP, Paris, France.
Laurence Morand-JoubertSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, APHP, Hôpital Saint-Antoine, Département de Virologie, Paris, France.
Jérôme RobertEquipe Opérationnelle d'Hygiène, Hôpital de la Pitié-Salpêtrière, GH Sorbonne Université, AP-HP, Paris, France.
Michel DenisEquipe Opérationnelle d'Hygiène, Hôpital Tenon, GH Sorbonne Université, AP-HP, Paris, France.
Beatrice SalauzeEquipe Opérationnelle d'Hygiène, Hôpitaux Trousseau et Rothschild, GH Sorbonne Université, AP-HP, Paris, France.
Valérie GoldsteinEquipe Opérationnelle d'Hygiène Hôpital Charles Foix, GH Sorbonne Université, AP-HP, Ivry, France.
Karen ZafilazaSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié-Salpêtrière, Service de Virologie, Paris, France.
Pierre RufatDépartement d'Information Médicale, Hôpital de la Pitié-Salpêtrière, GH Sorbonne Université, AP-HP, Paris, France.
Anne-Geneviève MarcelinSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié-Salpêtrière, Service de Virologie, Paris, France.
Aude JarySorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié-Salpêtrière, Service de Virologie, Paris, France.
Frédéric BarbutUnité de Prévention du Risque Infectieux, Hôpital Saint-Antoine, GH Sorbonne Université, AP-HP, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDespite 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.

methodsWe 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.

resultsOverall, 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.

conclusionsWGS analysis combined with comprehensive epidemiological investigations is essential to understand transmission routes and adapt the IPC response to protect both patients and HCWs.

Indexed as

COVID-19Cross InfectionDelivery of Health CareHospitalsHumansSARS-CoV-2EpidemiologyHealthcare-Associated infectionInfection controlSevere acute respiratory syndrome coronavirus 2Whole genome sequencing

Identifiers

PMID35901580
PMCPMC9306220

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.