The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Arbidol combined with LPV/r versus LPV/r alone against Corona Virus Disease 2019: A retrospective cohort study
Open accessAbstract
Background Corona Virus Disease 2019 (COVID-19) due to the 2019 novel coronavirus (SARS-CoV-2) emerged in Wuhan city and rapidly spread throughout China. We aimed to compare arbidol and lopinavir/ritonavir(LPV/r) treatment for patients with COVID-19 with LPV/r only. Methods In this retrospective cohort study, we included adults (age≥18years) with laboratory-confirmed COVID-19 without Invasive ventilation, diagnosed between Jan 17, 2020, and Feb 13, 2020. Patients, diagnosed after Jan 17, 2020, were given oral arbidol and LPV/r in the combination group and oral LPV/r only in the monotherapy group for 5–21 days. The primary endpoint was a negative conversion rate of coronavirus from the date of COVID-19 diagnosis(day7, day14), and assessed whether the pneumonia was progressing or improving by chest CT (day7). Results We analyzed 16 patients who received oral arbidol and LPV/r in the combination group and 17 who oral LPV/r only in the monotherapy group, and both initiated after diagnosis. Baseline clinical, laboratory, and chest CT characteristics were similar between groups. The SARS-CoV-2 could not be detected for 12(75%) of 16 patients’ nasopharyngeal specimens in the combination group after seven days, compared with 6 (35%) of 17 in the monotherapy group (p < 0·05). After 14 days, 15 (94%) of 16 and 9 (52·9%) of 17, respectively, SARS-CoV-2 could not be detected (p < 0·05). The chest CT scans were improving for 11(69%) of 16 patients in the combination group after seven days, compared with 5(29%) of 17 in the monotherapy group (p < 0·05). Conclusion In patients with COVID-19, the apparent favorable clinical response with arbidol and LPV/r supports further LPV/r only.
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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
Self-citationChen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415
Self-citationPathological 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
Metlay, J. P., Waterer, G. W., Long, A. C., Anzueto, A., Brozek, J., Crothers, K., Cooley, L. A., Dean, N. C., Fine, M. J., Flanders, S. A., et al. (2019) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201908-1581st · Cited by 3,657
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
Chung, M., Bernheim, A., Mei, X., Zhang, N., Huang, M., Zeng, X., Cui, J., Xu, W., Yang, Y., Fayad, Z. A., et al. (2020) · Radiology · doi:10.1148/radiol.2020200230 · Cited by 2,751
SARS: systematic review of treatment effects
Stockman, L. J., Bellamy, R., & Garner, P. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030343 · Cited by 1,217
Cited by
Hung, I. F.-N., Lung, K.-C., Tso, E. Y.-K., Liu, R., Chung, T. W.-H., Chu, M.-Y., Ng, Y.-Y., Lo, J., Chan, J., Tam, A. R., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31042-4 · Cited by 1,455
COVID-19: Drug Targets and Potential Treatments
Gil, C., Ginex, T., Maestro, I., Nozal, V., Barrado-Gil, L., Cuesta-Geijo, M. Á., Urquiza, J., Ramírez, D., Alonso, C., Campillo, N. E., et al. (2020) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.0c00606 · Cited by 445
Immune response in COVID-19: A review
Chowdhury, M. A., Hossain, N., Kashem, M. A., Shahid, M. A., & Alam, A. (2020) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2020.07.001 · Cited by 445
Tuccori, M., Convertino, I., Ferraro, S., Cappello, E., Valdiserra, G., Focosi, D., & Blandizzi, C. (2020) · Drug Safety · doi:10.1007/s40264-020-00965-w · Cited by 80
Metadata
- Authors
- Deng, L., Li, C., Zeng, Q., Liu, X., Li, X., Zhang, H., Hong, Z., & Xia, J.
- Venue
- Journal of Infection
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 81
- Issue
- 1
- Pages
- e1-e5
- ISSN
- 0163-4453 (ISSN-L)
- OpenAlex
- W3009881183
- Cited by
- 505
- References
- 6
- FWCI
- 14.79
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Deng, L., Li, C., Zeng, Q., Liu, X., Li, X., Zhang, H., Hong, Z., & Xia, J. (2020). Arbidol combined with LPV/r versus LPV/r alone against Corona Virus Disease 2019: A retrospective cohort study. Journal of Infection. https://doi.org/10.1016/j.jinf.2020.03.002
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