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ct2vl: Converting Ct Values to Viral Loads for SARS-CoV-2 RT-qPCR Test Results

Elliot D. Hill, Fazilet Yilmaz, Cody Callahan, Annie Cheng, Jasper Braun, View ORCID ProfileRamy Arnaout
doi: https://doi.org/10.1101/2022.06.20.496929
Elliot D. Hill
aBeth Israel Deaconess Medical Center, Division of Clinical Pathology, Department of Pathology, Boston, MA USA 02215
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Fazilet Yilmaz
bDepartment of Pathology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, MA USA 02903
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Cody Callahan
aBeth Israel Deaconess Medical Center, Division of Clinical Pathology, Department of Pathology, Boston, MA USA 02215
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Annie Cheng
aBeth Israel Deaconess Medical Center, Division of Clinical Pathology, Department of Pathology, Boston, MA USA 02215
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Jasper Braun
aBeth Israel Deaconess Medical Center, Division of Clinical Pathology, Department of Pathology, Boston, MA USA 02215
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Ramy Arnaout
aBeth Israel Deaconess Medical Center, Division of Clinical Pathology, Department of Pathology, Boston, MA USA 02215
cBeth Israel Deaconess Medical Center, Division of Clinical Informatics, Department of Medicine, Boston, MA USA 02215
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  • ORCID record for Ramy Arnaout
  • For correspondence: rarnaout@bidmc.harvard.edu
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Abstract

RT-qPCR is the de facto reference method for detecting the presence of SARS-CoV-2 genomic material in infected individuals. Although RT-qPCR is inherently quantitative and despite SARS-CoV-2 viral loads varying by 10 orders of magnitude and therefore being potentially highly clinically informative, in practice SARS-CoV-2 RT-qPCR results are usually reported qualitatively as simply positive or negative. This is both because of the mathematical complexity of converting from Ct values to viral loads and because the same Ct value can correspond to orders-of-magnitude differences in viral load depending on the testing platform. To address this problem, here we present ct2vl, a Python package designed to help individual clinical laboratories, investigators, and test developers convert from Ct values to viral loads on their own platforms, using only the data generated during validation of those platforms. It allows any user to convert Ct values to viral loads and is readily applicable to other RT-qPCR tests. ct2vl is open source, has 100% code coverage, and is freely available via the Python Package Index (PyPI).

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted June 21, 2022.
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ct2vl: Converting Ct Values to Viral Loads for SARS-CoV-2 RT-qPCR Test Results
Elliot D. Hill, Fazilet Yilmaz, Cody Callahan, Annie Cheng, Jasper Braun, Ramy Arnaout
bioRxiv 2022.06.20.496929; doi: https://doi.org/10.1101/2022.06.20.496929
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ct2vl: Converting Ct Values to Viral Loads for SARS-CoV-2 RT-qPCR Test Results
Elliot D. Hill, Fazilet Yilmaz, Cody Callahan, Annie Cheng, Jasper Braun, Ramy Arnaout
bioRxiv 2022.06.20.496929; doi: https://doi.org/10.1101/2022.06.20.496929

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