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Lopinavir/ritonavir for treatment of non-hospitalized patients with COVID-19: a randomized clinical trial.

Publication ,  Journal Article
Kaizer, AM; Shapiro, NI; Wild, J; Brown, SM; Cwik, BJ; Hart, KW; Jones, AE; Pulia, MS; Self, WH; Smith, C; Smith, SA; Ng, PC; Thompson, BT ...
Published in: Int J Infect Dis
March 2023

OBJECTIVES: Effective and widely available therapies are still needed for outpatients with COVID-19. We aimed to evaluate the efficacy and safety of lopinavir/ritonavir (LPV/r) for early treatment of non-hospitalized individuals diagnosed with COVID-19. METHODS: This randomized, placebo (Plb)-controlled, double-blind, multi-site decentralized clinical trial enrolled non-hospitalized adults with confirmed SARS-CoV-2 infection and six or fewer days of acute respiratory infection symptoms who were randomized to either twice-daily oral LPV/r (400 mg/100 mg) or Plb for 14 days. Daily surveys on study days 1 through 16 and again on study day 28 evaluated symptoms, daily activities, and hospitalization status. The primary outcome was longitudinal change in an ordinal scale based on a combination of symptoms, activity, and hospitalization status through day 15 and was analyzed by use of a Bayesian longitudinal proportional odds logistic regression model for estimating the probability of a superior recovery for LPV/r over Plb (odds ratio >1). RESULTS: Between June 2020 and December 2021, 448 participants were randomized to receive either LPV/r (n = 216) or Plb (n = 221). The mean symptom duration before randomization was 4.3 days (SD 1.3). There were no differences between treatment groups through the first 15 days for the ordinal primary outcome (odds ratio 0.96; 95% credible interval: 0.66 to 1.41). There were 3.2% (n = 7) of LPV/r and 2.7% (n = 6) of Plb participants hospitalized by day 28. Serious adverse events did not differ between groups. CONCLUSION: LPV/r did not significantly improve symptom resolution or reduce hospitalization in non-hospitalized participants with COVID-19. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04372628.

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Published In

Int J Infect Dis

DOI

EISSN

1878-3511

Publication Date

March 2023

Volume

128

Start / End Page

223 / 229

Location

Canada

Related Subject Headings

  • Treatment Outcome
  • SARS-CoV-2
  • Ritonavir
  • Microbiology
  • Lopinavir
  • Humans
  • COVID-19 Drug Treatment
  • COVID-19
  • Bayes Theorem
  • Adult
 

Citation

APA
Chicago
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MLA
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Kaizer, A. M., Shapiro, N. I., Wild, J., Brown, S. M., Cwik, B. J., Hart, K. W., … Ginde, A. A. (2023). Lopinavir/ritonavir for treatment of non-hospitalized patients with COVID-19: a randomized clinical trial. Int J Infect Dis, 128, 223–229. https://doi.org/10.1016/j.ijid.2022.12.028
Kaizer, Alexander M., Nathan I. Shapiro, Jessica Wild, Samuel M. Brown, B Jessica Cwik, Kimberly W. Hart, Alan E. Jones, et al. “Lopinavir/ritonavir for treatment of non-hospitalized patients with COVID-19: a randomized clinical trial.Int J Infect Dis 128 (March 2023): 223–29. https://doi.org/10.1016/j.ijid.2022.12.028.
Kaizer AM, Shapiro NI, Wild J, Brown SM, Cwik BJ, Hart KW, et al. Lopinavir/ritonavir for treatment of non-hospitalized patients with COVID-19: a randomized clinical trial. Int J Infect Dis. 2023 Mar;128:223–9.
Kaizer, Alexander M., et al. “Lopinavir/ritonavir for treatment of non-hospitalized patients with COVID-19: a randomized clinical trial.Int J Infect Dis, vol. 128, Mar. 2023, pp. 223–29. Pubmed, doi:10.1016/j.ijid.2022.12.028.
Kaizer AM, Shapiro NI, Wild J, Brown SM, Cwik BJ, Hart KW, Jones AE, Pulia MS, Self WH, Smith C, Smith SA, Ng PC, Thompson BT, Rice TW, Lindsell CJ, Ginde AA. Lopinavir/ritonavir for treatment of non-hospitalized patients with COVID-19: a randomized clinical trial. Int J Infect Dis. 2023 Mar;128:223–229.

Published In

Int J Infect Dis

DOI

EISSN

1878-3511

Publication Date

March 2023

Volume

128

Start / End Page

223 / 229

Location

Canada

Related Subject Headings

  • Treatment Outcome
  • SARS-CoV-2
  • Ritonavir
  • Microbiology
  • Lopinavir
  • Humans
  • COVID-19 Drug Treatment
  • COVID-19
  • Bayes Theorem
  • Adult