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Use of an algorithm based on routine blood laboratory tests to exclude COVID-19 in a screening-setting of healthcare workers
by
Deneer, Ruben
, Mostard, Remy L. M.
, Scharnhorst, Volkher
, Leers, Math P. G.
, Boer, Arjen-Kars
, Kleinveld, Henne A.
, Mostard, Guy J. M.
, van Dam, Dirk W.
, Stals, Frans
in
Algorithms
/ Analysis
/ Biology and Life Sciences
/ Blood
/ Calibration
/ Confidence intervals
/ Coronaviruses
/ COVID-19
/ Disease transmission
/ Employee benefits
/ Epidemics
/ Ethylenediaminetetraacetic acids
/ Evaluation
/ Health aspects
/ Health care
/ Heparin
/ Infections
/ Information management
/ Laboratories
/ Laboratory tests
/ Medical personnel
/ Medical screening
/ Medicine and Health Sciences
/ Pandemics
/ Patients
/ People and Places
/ Polymerase chain reaction
/ Reagents
/ Research and Analysis Methods
/ Severe acute respiratory syndrome
/ Severe acute respiratory syndrome coronavirus 2
/ Tubes
/ Values
/ Viral diseases
2022
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Use of an algorithm based on routine blood laboratory tests to exclude COVID-19 in a screening-setting of healthcare workers
by
Deneer, Ruben
, Mostard, Remy L. M.
, Scharnhorst, Volkher
, Leers, Math P. G.
, Boer, Arjen-Kars
, Kleinveld, Henne A.
, Mostard, Guy J. M.
, van Dam, Dirk W.
, Stals, Frans
in
Algorithms
/ Analysis
/ Biology and Life Sciences
/ Blood
/ Calibration
/ Confidence intervals
/ Coronaviruses
/ COVID-19
/ Disease transmission
/ Employee benefits
/ Epidemics
/ Ethylenediaminetetraacetic acids
/ Evaluation
/ Health aspects
/ Health care
/ Heparin
/ Infections
/ Information management
/ Laboratories
/ Laboratory tests
/ Medical personnel
/ Medical screening
/ Medicine and Health Sciences
/ Pandemics
/ Patients
/ People and Places
/ Polymerase chain reaction
/ Reagents
/ Research and Analysis Methods
/ Severe acute respiratory syndrome
/ Severe acute respiratory syndrome coronavirus 2
/ Tubes
/ Values
/ Viral diseases
2022
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Use of an algorithm based on routine blood laboratory tests to exclude COVID-19 in a screening-setting of healthcare workers
by
Deneer, Ruben
, Mostard, Remy L. M.
, Scharnhorst, Volkher
, Leers, Math P. G.
, Boer, Arjen-Kars
, Kleinveld, Henne A.
, Mostard, Guy J. M.
, van Dam, Dirk W.
, Stals, Frans
in
Algorithms
/ Analysis
/ Biology and Life Sciences
/ Blood
/ Calibration
/ Confidence intervals
/ Coronaviruses
/ COVID-19
/ Disease transmission
/ Employee benefits
/ Epidemics
/ Ethylenediaminetetraacetic acids
/ Evaluation
/ Health aspects
/ Health care
/ Heparin
/ Infections
/ Information management
/ Laboratories
/ Laboratory tests
/ Medical personnel
/ Medical screening
/ Medicine and Health Sciences
/ Pandemics
/ Patients
/ People and Places
/ Polymerase chain reaction
/ Reagents
/ Research and Analysis Methods
/ Severe acute respiratory syndrome
/ Severe acute respiratory syndrome coronavirus 2
/ Tubes
/ Values
/ Viral diseases
2022
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Use of an algorithm based on routine blood laboratory tests to exclude COVID-19 in a screening-setting of healthcare workers
Journal Article
Use of an algorithm based on routine blood laboratory tests to exclude COVID-19 in a screening-setting of healthcare workers
2022
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Overview
COVID-19 is an ongoing pandemic leading to exhaustion of the hospital care system. Our health care system has to deal with a high level of sick leave of health care workers (HCWs) with COVID-19 related complaints, in whom an infection with SARS-CoV-2 has to be ruled out before they can return back to work. The aim of the present study is to investigate if the recently described CoLab-algorithm can be used to exclude COVID-19 in a screening setting of HCWs. In the period from January 2021 till March 2021, HCWs with COVID-19-related complaints were prospectively collected and included in this study. Next to the routinely performed SARS-CoV-2 RT-PCR, using a set of naso- and oropharyngeal swab samples, two blood tubes (one EDTA- and one heparin-tube) were drawn for analysing the 10 laboratory parameters required for running the CoLab-algorithm. In total, 726 HCWs with a complete CoLab-laboratory panel were included in this study. In this group, 684 HCWs were tested SARS-CoV-2 RT-PCR negative and 42 cases RT-PCR positive. ROC curve analysis showed an area under the curve (AUC) of 0.853 (95% CI: 0.801-0.904). At a safe cut-off value for excluding COVID-19 of -6.525, the sensitivity was 100% with a specificity of 34% (95% CI: 21 to 49%). No SARS-CoV-2 RT-PCR cases were missed with this cut-off and COVID-19 could be safely ruled out in more than one third of HCWs. The CoLab-score is an easy and reliable algorithm that can be used for screening HCWs with COVID-19 related complaints. A major advantage of this approach is that the results of the score are available within 1 hour after collecting the samples. This results in a faster return to labour process of a large part of the COVID-19 negative HCWs (34%), next to a reduction in RT-PCR tests (reagents and labour costs) that can be saved.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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