The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Pilot trial of high-dose vitamin C in critically ill COVID-19 patients
Open accessAbstract
Background: Few specific medications have been proven effective for the treatment of patients with severe coronavirus disease 2019 (COVID-19). Here, we tested whether high-dose vitamin C infusion was effective for severe COVID-19. Methods: This randomized, controlled, clinical trial was performed at 3 hospitals in Hubei, China. Patients with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in the ICU were randomly assigned in as 1:1 ratio to either the high-dose intravenous vitamin C (HDIVC) or the placebo. HDIVC group received 12 g of vitamin C/50 ml every 12 h for 7 days at a rate of 12 ml/hour, and the placebo group received bacteriostatic water for injection in the same way within 48 h of arrival to ICU. The primary outcome was invasive mechanical ventilation-free days in 28 days (IMVFD28). Secondary outcomes were 28-day mortality, organ failure (Sequential Organ Failure Assessment (SOFA) score), and inflammation progression (interleukin-6). Results: Only 56 critical COVID-19 patients were ultimately recruited due to the early control of the outbreak. There was no difference in IMVFD28 between two groups (26.0 [9.0–28.0] in HDIVC vs 22.0 [8.50–28.0] in control, p = 0.57). HDIVC failed to reduce 28-day mortality ( P = 0.27). During the 7-day treatment period, patients in the HDIVC group had a steady rise in the PaO 2 /FiO 2 (day 7: 229 vs. 151 mmHg, 95% CI 33 to 122, P = 0.01), which was not observed in the control group. IL-6 in the HDIVC group was lower than that in the control group (19.42 vs. 158.00; 95% CI -301.72 to -29.79; P = 0.04) on day 7. Conclusion: This pilot trial showed that HDIVC failed to improve IMVFD28, but might show a potential signal of benefit in oxygenation for critically ill patients with COVID-19 improving PaO2/FiO2 even though.
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Cites
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
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148
Self-citationLa certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463
Richardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., and the Northwell COVID-19 Research Consortium, Barnaby, D. P., Becker, L. B., Chelico, J. D., et al. (2020) · JAMA · doi:10.1001/jama.2020.6775 · Cited by 9,254
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
Self-citationRuan, Q., Yang, K., Wang, W., Jiang, L., & Song, J. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-05991-x · Cited by 4,898
Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China
Qin, C., Zhou, L., Hu, Z., Zhang, S., Yang, S., Tao, Y., Xie, C., Ma, K., Shang, K., Wang, W., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa248 · Cited by 4,775
Clinical and immunological features of severe and moderate coronavirus disease 2019
Chen, G., Wu, D., Guo, W., Cao, Y., Huang, D., Wang, H., Wang, T., Zhang, X., Chen, H., Yu, H., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci137244 · Cited by 4,750
Effective treatment of severe COVID-19 patients with tocilizumab
Xu, X., Han, M., Li, T., Sun, W., Wang, D., Fu, B., Zhou, Y., Zheng, X., Yang, Y., Li, X., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2005615117 · Cited by 2,647
Research works printed but not linked: 2
- Chen X, Zhao B, Qu Y, Chen Y, Xiong J, Feng Y, Men D, Huang Q, Liu Y, Yang B et al: Detectable serum SARS-CoV-2 viral load (RNAaemia) is closely correlated with drastically elevated interleukin 6 (IL-6) level in critically ill COVID-19 patients. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2020. · DOI
- Ruan Q, Yang K, Wang W, Jiang L, Song J. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan China. Intensive Care Med. 2020;46(5):846–8. · DOI · Paper page
Cited by
Drug treatments for covid-19: living systematic review and network meta-analysis
Siemieniuk, R. A., Bartoszko, J. J., Zeraatkar, D., Kum, E., Qasim, A., Díaz Martinez, J. P., Izcovich, A., Rochwerg, B., Lamontagne, F., Han, M. A., et al. (2020) · BMJ · doi:10.1136/bmj.m2980 · Cited by 846
The Emerging Role of Vitamin C in the Prevention and Treatment of COVID-19
Carr, A. C., & Rowe, S. (2020) · Nutrients · doi:10.3390/nu12113286 · Cited by 155
Sinopoli, A., Sciurti, A., Isonne, C., Santoro, M. M., & Baccolini, V. (2024) · Nutrients · doi:10.3390/nu16091345 · Cited by 40
“…any difference in severity scores, including SOFA (sequential organ failure assessment) or GCS (Glasgow Coma Scale), while five trials [33,35–37, 43] As for length of hospitalization, four trials found no difference between the intervention and control group [33,38,41,43], one study [37] found…”
BackgroundResultInfluentialNutrition and immunity: perspectives on key issues and next steps
Dunbar, C. L., Aukema, H. M., Calder, P. C., Gibson, D. L., Henrickson, S. E., Khan, S., Mailhot, G., Panahi, S., Tabung, F. K., Tom, M., et al. (2023) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2022-0276 · Cited by 24
Foshati, S., Mirjalili, F., Rezazadegan, M., Fakoorziba, F., & Amani, R. (2022) · Food Science & Nutrition · doi:10.1002/fsn3.3034 · Cited by 20
Metadata
- Authors
- Zhang, J., Rao, X., Li, Y., Zhu, Y., Liu, F., Guo, G., Luo, G., Meng, Z., De Backer, D., Xiang, H., & Peng, Z.
- Venue
- Annals of Intensive Care
- Publisher
- Elsevier BV
- Published
- 2021-01-09
- Volume
- 11
- Issue
- 1
- Pages
- 5-5
- ISSN
- 2110-5820 (ISSN-L)
- OpenAlex
- W3104760552
- Cited by
- 253
- References
- 42
- FWCI
- 29.61
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- creativecommons.org/licenses/by/4.0 (tdm)
- creativecommons.org/licenses/by/4.0 (vor)
- Funders
- Science and Technology Department of Hubei Province (2020FCA024, 2020FCA020)
- Fundamental Research Funds for the Central Universities (2042020kfxg18)
- Fundamental Research Funds for Central Universities of the Central South University (2042020kfxg13)
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- The paper
- Zhang, J., Rao, X., Li, Y., Zhu, Y., Liu, F., Guo, G., Luo, G., Meng, Z., De Backer, D., Xiang, H., & Peng, Z. (2021). Pilot trial of high-dose vitamin C in critically ill COVID-19 patients. Annals of Intensive Care. https://doi.org/10.1186/s13613-020-00792-3
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