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Early Short-Course Corticosteroids in Hospitalized Patients With COVID-19
Open accessAbstract
Background: There is no proven antiviral or immunomodulatory therapy for coronavirus disease 2019 (COVID-19). The disease progression associated with the proinflammatory host response prompted us to examine the role of early corticosteroid therapy in patients with moderate to severe COVID-19. Methods: We conducted a single pretest, single posttest quasi-experiment in a multicenter health system in Michigan from 12 March to 27 March 2020. Adult patients with confirmed moderate to severe COVID were included. A protocol was implemented on 20 March 2020 using early, short-course, methylprednisolone 0.5 to 1 mg/kg/day divided in 2 intravenous doses for 3 days. Outcomes of standard of care (SOC) and early corticosteroid groups were evaluated, with a primary composite endpoint of escalation of care from ward to intensive care unit (ICU), new requirement for mechanical ventilation, and mortality. All patients had at least 14 days of follow-up. Results: We analyzed 213 eligible subjects, 81 (38%) and 132 (62%) in SOC and early corticosteroid groups, respectively. The composite endpoint occurred at a significantly lower rate in the early corticosteroid group (34.9% vs 54.3%, P = .005). This treatment effect was observed within each individual component of the composite endpoint. Significant reduction in median hospital length of stay was also observed in the early corticosteroid group (5 vs 8 days, P < .001). Multivariate regression analysis demonstrated an independent reduction in the composite endpoint at 14-days controlling for other factors (adjusted odds ratio: 0.41; 95% confidence interval, .22 – .77). Conclusions: An early short course of methylprednisolone in patients with moderate to severe COVID-19 reduced escalation of care and improved clinical outcomes. Clinical Trials Registration: NCT04374071.
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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
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Pathological findings of COVID-19 associated with acute respiratory distress syndrome
Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., Liu, S., Zhao, P., Liu, H., Zhu, L., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30076-x · Cited by 8,545
(2012) · Kidney International Supplements · doi:10.1038/kisup.2012.1 · Cited by 4,326
Seymour, C. W., Liu, V. X., Iwashyna, T. J., Brunkhorst, F. M., Rea, T. D., Scherag, A., Rubenfeld, G., Kahn, J. M., Shankar-Hari, M., Singer, M., et al. (2016) · JAMA · doi:10.1001/jama.2016.0288 · Cited by 3,939
Ranney, M. L., Griffeth, V., & Jha, A. K. (2020) · New England Journal of Medicine · doi:10.1056/nejmp2006141 · Cited by 2,018
Pathogenic T-cells and inflammatory monocytes incite inflammatory storms in severe COVID-19 patients
Zhou, Y., Fu, B., Zheng, X., Wang, D., Zhao, C., Qi, Y., Sun, R., Tian, Z., Xu, X., & Wei, H. (2020) · National Science Review · doi:10.1093/nsr/nwaa041 · Cited by 1,295
Zhang, W., Zhao, Y., Zhang, F., Wang, Q., Li, T., Liu, Z., Wang, J., Qin, Y., Zhang, X., Yan, X., et al. (2020) · Clinical Immunology · doi:10.1016/j.clim.2020.108393 · Cited by 1,266
Smith, G. B., Prytherch, D. R., Meredith, P., Schmidt, P. E., & Featherstone, P. I. (2013) · Resuscitation · doi:10.1016/j.resuscitation.2012.12.016 · Cited by 1,077
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The Writing Committee for the REMAP-CAP Investigators, Angus, D. C., Derde, L., Al-Beidh, F., Annane, D., Arabi, Y., Beane, A., van Bentum-Puijk, W., Berry, L., Bhimani, Z., et al. (2020) · JAMA · doi:10.1001/jama.2020.17022 · Cited by 855
Assessment and characterisation of post‐COVID‐19 manifestations
Kamal, M., Abo Omirah, M., Hussein, A., & Saeed, H. (2021) · International Journal of Clinical Practice · doi:10.1111/ijcp.13746 · Cited by 603
Immunity, endothelial injury and complement-induced coagulopathy in COVID-19
Perico, L., Benigni, A., Casiraghi, F., Ng, L. F. P., Renia, L., & Remuzzi, G. (2021) · Nature Reviews Nephrology · doi:10.1038/s41581-020-00357-4 · Cited by 607
Henderson, L. A., Canna, S. W., Friedman, K. G., Gorelik, M., Lapidus, S. K., Bassiri, H., Behrens, E. M., Ferris, A., Kernan, K. F., Schulert, G. S., et al. (2020) · Arthritis & Rheumatology · doi:10.1002/art.41454 · Cited by 531
Jeronimo, C. M. P., Farias, M. E. L., Val, F. F. A., Sampaio, V. S., Alexandre, M. A. A., Melo, G. C., Safe, I. P., Borba, M. G. S., Netto, R. L. A., Maciel, A. B. S., et al. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1177 · Cited by 434
Metadata
- Authors
- Fadel, R., Morrison, A. R., Vahia, A., Smith, Z. R., Chaudhry, Z., Bhargava, P., Miller, J., Kenney, R. M., Alangaden, G., Ramesh, M. S., Henry Ford COVID-19 Management Task Force, Nauriyal, V., Lakshmikanth, J., Abdul Hamed, A., Nadeem, O., Griebe, K., Johnson, J. M., Bradley, P., Uduman, J., Hegab, S., Swiderek, J., Godfrey, A., Jennings, J., Gardner-Gray, J., Ackerman, A., Lezotte, J., Ruhala, J., Samuel, L., Tibbetts, R. J., Brar, I., McKinnon, J., Suleyman, G., Yared, N., Herc, E., Williams, J., Lanfranco, O. A., Chen, A., Zervos, M., & Scher, E.
- Venue
- Clinical Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-05-19
- Volume
- 71
- Issue
- 16
- Pages
- 2114-2120
- ISSN
- 1058-4838 (ISSN-L)
- 1537-6591
- OpenAlex
- W3024848265
- Cited by
- 463
- References
- 10
- FWCI
- 13.10
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Fadel, R., Morrison, A. R., Vahia, A., Smith, Z. R., Chaudhry, Z., Bhargava, P., Miller, J., Kenney, R. M., Alangaden, G., Ramesh, M. S., Henry Ford COVID-19 Management Task Force, Nauriyal, V., Lakshmikanth, J., Abdul Hamed, A., Nadeem, O., Griebe, K., Johnson, J. M., Bradley, P., Uduman, J., . . . Scher, E. (2020). Early Short-Course Corticosteroids in Hospitalized Patients With COVID-19. Clinical Infectious Diseases. https://doi.org/10.1093/cid/ciaa601
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.