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Clinical Effectiveness of REGN-COV2 in Patients with COVID-19 in Japan: A Retrospective Cohort Study with a Bayesian

Norihiko Amano1, Kentaro Iwata2,3, Sachiyo Iwata4

  • 1Division of Rheumatology, Hyogo Prefectural Kakogawa Medical Center, Kakogawa, Hyogo, Japan.

Infection & Chemotherapy
|January 3, 2022
PubMed
Abstract

Insights

Neutralizing antibody cocktail therapy (REGN-COV2) significantly reduced fever and hospitalization duration for COVID-19 patients in Japan. Further studies are needed to confirm its effectiveness in preventing severe disease.

Area of Science:

  • Infectious Diseases
  • Immunology
  • Pharmacology

Background:

  • Neutralizing antibody cocktail therapy, REGN-COV2, shows promise for treating COVID-19.
  • Its efficacy in the Japanese population requires further investigation.

Purpose of the Study:

  • To evaluate the effectiveness of REGN-COV2 in Japanese COVID-19 patients.
  • To compare clinical outcomes between patients treated with REGN-COV2 and a control group.

Main Methods:

  • A comparative study involving 20 COVID-19 patients treated with REGN-COV2 and a matched control group.
  • Primary outcomes included time to defervescence, hospitalization duration, and oxygen requirement.
  • Bayesian analysis was employed for sensitivity analysis.

Main Results:

  • REGN-COV2 treatment significantly shortened the time to defervescence (5.25 vs. 7.95 days, P=0.02) and hospitalization duration (7.115 vs. 11.45 days, P=0.0009).
  • No significant difference was observed in oxygen therapy requirements between groups (15% vs. 35%, P=0.27).
  • Bayesian analysis confirmed these findings, showing shorter defervescence and hospitalization periods for the REGN-COV2 group.

Conclusions:

  • REGN-COV2 appears effective in accelerating defervescence and reducing hospitalization time in COVID-19 patients.
  • Further research is necessary to ascertain its role in preventing severe COVID-19 infections.
Keywords:
Bayesian statisticsCoronavirus disease 2019Markov Chain Monte Carlo methodREGN-COV-2

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