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A Phase I/II Clinical Trial to evaluate the efficacy of baricitinib to prevent respiratory insufficiency progression in onco-hematological patients affected with COVID19: A structured summary of a study protocol for a randomised controlled trial.

ABSTRACT:

SUBMITTER: Moreno-Gonzalez G

PROVIDER: S-EPMC7862837 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectivesThe aim of this trial is to identify the effect of ambulatory treatment in early COVID-19 disease with hydroxychloroquine on the rate of hospitalization or death in older patients above the age of 64.Trial designParallel, 2:1 randomization, double blind, placebo-controlled, multi-center trial.ParticipantsMale and female patients above the age of 64 (i.e. ≥65 years of age) with COVID-19 diagnosis confirmed by SARS-CoV2 positive throat swab (PCR). Patients can only be included within 3 days of symptom onset in ambulatory care if they consent to the study procedure and are able to adhere to the study visit schedule and protocol requirements (including telephone visits concerning symptoms and side effects). Severity of disease at inclusion is mild to moderate defined as not requiring hospital admission: SpO2 >94%, respiratory rate <20, mental state alert, no signs of septic shock. Cardiac risk is minimised by requiring a Tisdale score ≤ 6. Patients are recruited in the two german cities of Ulm and Tübingen in various ambulatory care settings.Intervention and comparatorEach patient will be given a first dose of 600 mg Hydroxychloroquine or the equivalent number of placebo capsules (3 capsules) at the day of inclusion. From the 2nd day on, each patient will get 200 mg or the equivalent number of placebo capsules twice a day (400mg/day) until day 7 (6 more does of 400 mg); a cumulative dose of 3 g.Main outcomesRate of hospitalization or death at day 7 after study inclusion RANDOMISATION: All consenting adult patients having confirmed COVID-19 are randomly and blindly allocated in a 2:1 ratio to either IMP or placebo. The biostatistical center produced a randomization list (block randomization) with varying block length and stratified for the study center. This list is provided for packaging to the pharmaceutical unit which is providing encapsulated placebo and IMP. Only the pharmaceutical unit is aware of group allocation according to the randomization list.Blinding (masking)Patients and investigators, as well as treating physicians are blinded to the treatment- allocation.Numbers to be randomised (sample size)In the first stage of an adaptive design 120 patients in a 2:1 ration: 72 Verum and 36 Placebo, plus an increase for 10% drop outs. After interim analysis, the total sample size will be calculated based on the effect seen in the first stage. Total sample size is estimated approximately n = 300-400 patients.Trial statusProtocol version number: V3, 19.05.2020 Recruitment not yet started but is anticipated to begin by June 2020 and be complete by December 2020 TRIAL REGISTRATION: ClinicalTrials.gov: NCT04351516 , date: 17 April 2020 EudraCT: 2020-001482-37, date: 30 March 2020 FULL PROTOCOL: The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol.

Project description:BACKGROUND: Summary measures of health that combine mortality and morbidity into a single indicator are being estimated in the Canadian context for approximately 200 diseases and conditions. To manage the large amount of data and calculations for this many diseases, we have developed a structured workbook system with easy to use tools. We expect this system will be attractive to researchers from other countries or regions of Canada who are interested in estimating the health-adjusted life years (HALYs) lost to premature mortality and year-equivalents lost to reduced functioning, as well as population attributable fractions (PAFs) associated with risk factors. This paper describes the workbook system using cancers as an example, and includes the entire system as a free, downloadable package. METHODS: The workbook system was developed in Excel and runs on a personal computer. It is a database system that stores data on population structure, mortality, incidence, distributions of cases entering a multitude of health states, durations of time spent in health states, preference scores that weight for severity, life table estimates of life expectancies, and risk factor prevalence and relative risks. The tools are Excel files with embedded macro programs. The main tool generates workbooks that estimate HALY, one per disease, by copying data from the database into a pre-defined template. Other tools summarize the HALY results across diseases for easy analysis. RESULTS: The downloadable zip file contains the database files initialized with Canadian data for cancers, the tools, templates and workbooks that estimate PAF and a user guide. The workbooks that estimate HALY are generated from the system at a rate of approximately one minute per disease. The resulting workbooks are self-contained and can be used directly to explore the details of a particular disease. Results can be discounted at different rates through simple parameter modification. CONCLUSION: The structured workbook approach offers researchers an efficient, easy to use, and easy to understand set of tools for estimating HALY and PAF summary measures for their country or region of interest.

Dataset Information

A Phase I/II Clinical Trial to evaluate the efficacy of baricitinib to prevent respiratory insufficiency progression in onco-hematological patients affected with COVID19: A structured summary of a study protocol for a randomised controlled trial.

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