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Statistical design of Phase II/III clinical trials for testing therapeutic interventions in COVID-19 patients.
Rai, Shesh N; Qian, Chen; Pan, Jianmin; Seth, Anand; Srivastava, Deo Kumar; Bhatnagar, Aruni.
  • Rai SN; Biostatistics and Bioinformatics Facility, James Graham Brown Cancer Center, University of Louisville, Louisville, KY, 40202, USA. shesh.rai@louisville.edu.
  • Qian C; Department of Biostatistics and Bioinformatics, University of Louisville, Louisville, KY, 40202, USA. shesh.rai@louisville.edu.
  • Pan J; Biostatistics and Bioinformatics Facility, James Graham Brown Cancer Center, University of Louisville, Louisville, KY, 40202, USA.
  • Seth A; Department of Biostatistics and Bioinformatics, University of Louisville, Louisville, KY, 40202, USA.
  • Srivastava DK; Biostatistics and Bioinformatics Facility, James Graham Brown Cancer Center, University of Louisville, Louisville, KY, 40202, USA.
  • Bhatnagar A; SK Patent Associates, LLC, Dublin, OH, 43016, USA.
BMC Med Res Methodol ; 20(1): 220, 2020 08 31.
Article in English | MEDLINE | ID: covidwho-736373
ABSTRACT

BACKGROUND:

Because of unknown features of the COVID-19 and the complexity of the population affected, standard clinical trial designs on treatments may not be optimal in such patients. We propose two independent clinical trials designs based on careful grouping of patient and outcome measures.

METHODS:

Using the World Health Organization ordinal scale on patient status, we classify treatable patients (Stages 3-7) into two risk groups. Patients in Stages 3, 4 and 5 are categorized as the intermediate-risk group, while patients in Stages 6 and 7 are categorized as the high-risk group. To ensure that an intervention, if deemed efficacious, is promptly made available to vulnerable patients, we propose a group sequential design incorporating four factors stratification, two interim analyses, and a toxicity monitoring rule for the intermediate-risk group. The primary response variable (binary variable) is based on the proportion of patients discharged from hospital by the 15th day. The goal is to detect a significant improvement in this response rate. For the high-risk group, we propose a group sequential design incorporating three factors stratification, and two interim analyses, with no toxicity monitoring. The primary response variable for this design is 30 day mortality, with the goal of detecting a meaningful reduction in mortality rate.

RESULTS:

Required sample size and toxicity boundaries are calculated for each scenario. Sample size requirements for designs with interim analyses are marginally greater than ones without. In addition, for both the intermediate-risk group and the high-risk group, the required sample size with two interim analyses is almost identical to analyses with just one interim analysis.

CONCLUSIONS:

We recommend using a binary outcome with composite endpoints for patients in Stage 3, 4 or 5 with a power of 90% to detect an improvement of 20% in the response rate, and a 30 day mortality rate outcome for those in Stage 6 or 7 with a power of 90% to detect 15% (effect size) reduction in mortality rate. For the intermediate-risk group, two interim analyses for efficacy evaluation along with toxicity monitoring are encouraged. For the high-risk group, two interim analyses without toxicity monitoring is advised.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Research Design / Data Interpretation, Statistical / Coronavirus Infections / Betacoronavirus Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: BMC Med Res Methodol Journal subject: Medicine Year: 2020 Document Type: Article Affiliation country: S12874-020-01101-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Research Design / Data Interpretation, Statistical / Coronavirus Infections / Betacoronavirus Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: BMC Med Res Methodol Journal subject: Medicine Year: 2020 Document Type: Article Affiliation country: S12874-020-01101-z