Your browser doesn't support javascript.
Clinical performance and accuracy of a qPCR-based SARS-CoV-2 mass-screening workflow for healthcare-worker surveillance using pooled self-sampled gargling solutions: A cross-sectional study.
Olearo, Flaminia; Nörz, Dominik; Hoffman, Armin; Grunwald, Moritz; Gatzemeyer, Kimani; Christner, Martin; Both, Anna; Campos, Cristina Elena Belmar; Braun, Platon; Andersen, Gabriele; Pfefferle, Susanne; Zapf, Antonia; Aepfelbacher, Martin; Knobloch, Johannes K M; Lütgehetmann, Marc.
  • Olearo F; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, Hamburg D-20246, Germany.
  • Nörz D; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, Hamburg D-20246, Germany.
  • Hoffman A; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, Hamburg D-20246, Germany.
  • Grunwald M; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, Hamburg D-20246, Germany.
  • Gatzemeyer K; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, Hamburg D-20246, Germany.
  • Christner M; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, Hamburg D-20246, Germany.
  • Both A; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, Hamburg D-20246, Germany.
  • Campos CEB; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, Hamburg D-20246, Germany.
  • Braun P; Department of Occupational Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Andersen G; Department of Occupational Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Pfefferle S; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, Hamburg D-20246, Germany; German Center for Infection Research (DZIF), Hamburg-Lübeck-Borstel-Riems, Germany.
  • Zapf A; Center for Experimental Medicine, Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Aepfelbacher M; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, Hamburg D-20246, Germany.
  • Knobloch JKM; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, Hamburg D-20246, Germany.
  • Lütgehetmann M; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, Hamburg D-20246, Germany; German Center for Infection Research (DZIF), Hamburg-Lübeck-Borstel-Riems, Germany. Electronic address: mluetgeh@uke.de.
J Infect ; 83(5): 589-593, 2021 11.
Article in English | MEDLINE | ID: covidwho-1401632
ABSTRACT

INTRODUCTION:

The large number of asymptomatic SARS-CoV-2 infections necessitates general screening of employees. We evaluate the performance of a SARS-CoV-2 screening program in asymptomatic healthcare-workers (HCW), utilizing self-sampled gargling-solution and sample pooling for RT-qPCR.

METHODS:

We conducted a cross-sectional retrospective study to collect real-life data on the performance of a screening-workflow based on automated-pooling and high-throughput qPCR testing over a 3-month-period at the University Hospital Hamburg.

RESULTS:

Matrix validation reveals that lower limit of detection for SARS-CoV-2 RNA in gargling-solution was 180 copies/mL (5-sample-pool). A total of 55,122 self-collected gargle samples (= 7513 HCWs) was analyzed. The median time to result was 8.5 hours (IQR 7.2-10.8). Of 11,192 pools analyzed, 11,041 (98.7%) were negative, 69 (0.6%) were positive and 82 (0.7%) were invalid. Individual testing of pool participants revealed 57 SARS-CoV-2 previously unrecognized infections. All 57 HCWs were either pre-symptomatic or asymptomatic (prevalence 0.76%,CI95%0.58-0.98%). Accuracy based on HCWs with gargle-solution and NP-swab available within 3-day-interval (N = 521) was 99.5% (CI95%98.3-99.9%), sensitivity 88.9% (CI95%65.3-98.6%) while specificity 99.8% (CI95%98.9-99.9).

CONCLUSION:

This workflow was highly effective in identifying SARS-CoV-2 positive HCWs, thereby lowering the potential of inter-HCW and HCW-patient transmissions. Automated-sample-pooling helped to conserve qPCR reagents and represents a promising alternative strategy to antigen testing in mass-screening programs.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: J Infect Year: 2021 Document Type: Article Affiliation country: J.jinf.2021.08.047

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: J Infect Year: 2021 Document Type: Article Affiliation country: J.jinf.2021.08.047