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Licensed Unlicensed Requires Authentication Published online by De Gruyter April 3, 2023

Approximate reciprocal relationship between two cause-specific hazard ratios in COVID-19 data with mutually exclusive events

  • Wentian Li ORCID logo EMAIL logo , Sirin Cetin , Ayse Ulgen ORCID logo EMAIL logo , Meryem Cetin , Hakan Sivgin and Yaning Yang

Abstract

COVID-19 survival data presents a special situation where not only the time-to-event period is short, but also the two events or outcome types, death and release from hospital, are mutually exclusive, leading to two cause-specific hazard ratios (csHR d and csHR r ). The eventual mortality/release outcome is also analyzed by logistic regression to obtain odds-ratio (OR). We have the following three empirical observations: (1) The magnitude of OR is an upper limit of the csHR d : |log(OR)| ≥ |log(csHR d )|. This relationship between OR and HR might be understood from the definition of the two quantities; (2) csHR d and csHR r point in opposite directions: log(csHR d ) ⋅ log(csHR r ) < 0; This relation is a direct consequence of the nature of the two events; and (3) there is a tendency for a reciprocal relation between csHR d and csHR r : csHR d ∼ 1/csHR r . Though an approximate reciprocal trend between the two hazard ratios is in indication that the same factor causing faster death also lead to slow recovery by a similar mechanism, and vice versa, a quantitative relation between csHR d and csHR r in this context is not obvious. These results may help future analyses of data from COVID-19 or other similar diseases, in particular if the deceased patients are lacking, whereas surviving patients are abundant.


Corresponding authors: Wentian Li, The Robert S. Boas Center for Genomics and Human Genetics, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA; and Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA, E-mail: ; and Ayse Ulgen, Department of Biostatistics, Faculty of Medicine, Girne American University, Karmi, Cyprus; and Department of Mathematics, School of Science and Technology, Nottingham Trent University, Nottingham, UK, E-mail:

Acknowledgment

WL acknowledges the support from Robert S Boas Center for Genomics and Human Genetics.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: The data analysis work was not funded.

  3. Conflict of interest statement: Authors declare no conflicts of interests.

  4. Ethical approval: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

  5. Informed consent: As the study was a retrospective analysis of medical records, informed consent was waived.

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Received: 2022-01-08
Accepted: 2023-02-13
Published Online: 2023-04-03

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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