High sensitivity Troponin-T for prediction of adverse events in patients with COVID-19
High sensitivity cardiac troponin-T (hs-TnT) has been associated with mortality in patients hospitalized with COVID-19. We aimed to determine if hs-TnT levels and their timing are independent predictors of adverse events in these patients. Retrospective chart review was performed for all patients ho...
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Published in: | Biomarkers Vol. 25; no. 8; pp. 626 - 633 |
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Main Authors: | , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
England
Taylor & Francis
16-11-2020
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Subjects: | |
Online Access: | Get full text |
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Summary: | High sensitivity cardiac troponin-T (hs-TnT) has been associated with mortality in patients hospitalized with COVID-19. We aimed to determine if hs-TnT levels and their timing are independent predictors of adverse events in these patients.
Retrospective chart review was performed for all patients hospitalized at our institution between 23 March 2020 and 13 April 2020 who were found to be COVID-19-positive. Clinical, demographic, and laboratory variables including initial and peak hs-TnT were recorded. Univariable and multivariable analyses were completed for a primary composite endpoint of in-hospital death, intubation, need for critical care, or cardiac arrest.
In the 276 patients analysed, initial hs-TnT above the median (≥17 ng/L) was associated with increased length of stay, need for vasoactive medications, and death, along with the composite endpoint (OR 3.92, p < 0.001). Multivariable analysis demonstrated that elevated initial hs-TnT was independently associated with the primary endpoint (OR 2.92, p = 0.01). Late-peaking hs-TnT (OR 2.19 for each additional day until peak, p < 0.001) was also independently associated with the composite endpoint.
In patients hospitalized with COVID-19, hs-TnT identifies patients at high risk for adverse in-hospital events, and trends of hs-TnT over time, particularly during the first day, provide additional prognostic information. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 Supplemental data for this article can be accessed here. Francis J. Alenghat and Stephanie A. Besser are responsible for statistical design and analysis. E-mail: falenghat@bsd.uchicago.edu (F. J. Alenghat), sbesser@medicine.bsd.uchicago.edu (S. A. Besser) |
ISSN: | 1354-750X 1366-5804 |
DOI: | 10.1080/1354750X.2020.1829056 |