The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Lactate dehydrogenase levels predict coronavirus disease 2019 (COVID-19) severity and mortality: A pooled analysis
Open accessAbstract
Coronavirus disease 2019 (COVID-19) infection has now reached a pandemic state, affecting more than a million patients worldwide. Predictors of disease outcomes in these patients need to be urgently assessed to decrease morbidity and societal burden. Lactate dehydrogenase (LDH) has been associated with worse outcomes in patients with viral infections. In this pooled analysis of 9 published studies (n = 1532 COVID-19 patients), we evaluated the association between elevated LDH levels measured at earliest time point in hospitalization and disease outcomes in patients with COVID-19. Elevated LDH levels were associated with a ~6-fold increase in odds of developing severe disease and a ~16-fold increase in odds of mortality in patients with COVID-19. Larger studies are needed to confirm these findings.
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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Clinical characteristics of coronavirus disease 2019 in China
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Cancer cell metabolism: warburg and beyond
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Self-citationClinical Features of 69 Cases With Coronavirus Disease 2019 in Wuhan, China
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Cited by
The proteomic characteristics of airway mucus from critical ill COVID-19 patients
Zhang, Z., Wang, T., Liu, F., Zhu, A., Gu, G., Luo, J., Xu, J., Zhao, J., Li, Y., Li, Y., et al. (2021) · Life Sciences · doi:10.1016/j.lfs.2021.119046 · Cited by 12
Metadata
- Authors
- Henry, B. M., Aggarwal, G., Wong, J., Benoit, S., Vikse, J., Plebani, M., & Lippi, G.
- Venue
- The American Journal of Emergency Medicine
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 38
- Issue
- 9
- Pages
- 1722-1726
- ISSN
- 0735-6757 (ISSN-L)
- OpenAlex
- W3028902173
- Cited by
- 608
- References
- 8
- FWCI
- 14.97
- Type
- journal article
- Language
- en
- Open access
- green
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