Association of Pre-COVID-19 Lymphocytopenia with Fatality
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Abstract
Lymphocytopenia during the COVID-19 has been associated with fatality. We tested whether pre-existing lymphocytopenia reported prior to any possible exposure to SARS-COV2 (from 2010 to 2019) was associated with fatality. Using all patients diagnosed on testing in a single regional laboratory, we identified 1137 subjects with PCR positive for SARS-COV2 and at least one available complete blood count from the decade prior to any possible exposure to the virus. Bivariate analysis indicated an association between pre-existing lymphocytopenia (defined as absolute lymphocyte count <0.9×10 9 /L) and fatality (18% versus 4%). Furthermore, a logistic regression model, accounting for both patient age and number of blood counts obtained, indicated the subjects with pre-existing lymphocytopenia were 1.4 times as likely to die. Because the absolute lymphocyte count is almost universally available and easily interpreted, this biomarker of the risk of fatality could be widely useful.
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SciScore for 10.1101/2020.10.02.20200931: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar …
SciScore for 10.1101/2020.10.02.20200931: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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