An Evaluation of a Synbiotic Formula for Patients With COVID-19 Infection

November 1, 2022 updated by: Siew Chien NG

An Evaluation of a Synbiotic Formula for Symptom Improvement in Hospitalised Patients With COVID-19 Infection

In December 2019, a cluster of pneumonia cases of unidentified cause emerged in Wuhan,was identified as the culprit of this disease currently being identified as "Coronavirus Disease 2019" (COVID-19) by World Health Organization.

Coronavirus was found to not only target the patient's lungs but also multiple organs. Around 2-33% of Coronavirus Disease-19 patients developed gastrointestinal symptoms. Studies have shown that Severe acute respiratory syndrome coronavirus 2 (SAR-CoV-2) was found in patient's feces, suggesting that the virus can spread through feces. In our previous study, stool samples from 15 patients with COVID-19 were analysed. Depleted symbionts and gut dysbiosis were noted even after patients were detected negative of SARS-CoV-2. A series of microbiota were correlated inversely with the disease severity and virus load. Gut microbiota could play a role in modulating host immune response and potentially influence disease severity and outcomes.

The investigators are uncertain about the impact of synbiotic on patients with COVID-19. However, a therapeutic strategy aiming at investigating the gut Imicrobiota of patients with COVID-9 who take synbiotic or not, leading to lesser progression to severe disease, less hospital stay and improved quality of life.

Study Overview

Status

Enrolling by invitation

Conditions

Intervention / Treatment

Detailed Description

In December 2019, a cluster of pneumonia cases of unidentified cause emerged in Wuhan, Hubei province, China. In early January, a novel betacoronavirus forming another clade within the subgenus sarbecovirus, now named SARS-CoV-2, was identified as the culprit of this disease currently being identified as "Coronavirus Disease 2019" (COVID-19) by WHO.

Coronavirus was found to not only target the patient's lungs, but also multiple organs. Around 2-33% of COVID-19 patients developed gastrointestinal symptoms. Studies have shown that SAR-CoV-2 was found in patient's feces, suggesting that the virus can spread through feces. In our previous study, stool samples from 15 patients with COVID-19 were analysed. Depleted symbionts and gut dysbiosis were noted even after patients were detected negative of SARS-CoV-2. A series of microbiota were correlated inversely with the disease severity and virus load. Gut microbiota could play a role in modulating host immune response and potentially influence disease severity and outcomes.

In July 2020, there are more than 15 million confirmed cases globally with 620 thousand deaths. Currently, there are more than 2000 confirmed cases of COVID-19 in Hong Kong. The investigators are uncertain about the impact of synbiotic on patients with COVID-19. However, a therapeutic strategy aiming at investigating the gut Imicrobiota of patients with COVID-9 who take synbiotic or not, leading to lesser progression to severe disease, less hospital stay and improved quality of life.

Study Type

Interventional

Enrollment (Anticipated)

50

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Sha Tin, Hong Kong, 000000
        • The Chinese University of Hong Kong

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  1. Aged 18 or above; and
  2. A confirmed diagnosis of SARS-CoV-2 infection using the PCR according to the standard of according to Centre for Health Protection, Department of Health, HK at recruitment and that require admission to the hospitalization area; and
  3. Written informed consent is obtained

Exclusion Criteria:

  1. Subjects admitted to Intensive Care Unit or on ventilator
  2. Known allergy or intolerance to the intervention product or its components
  3. Any known medical condition that would prevent taking oral probiotics or increase risks associated with probiotics including but not limited to inability to swallow/aspiration risk and no other methods of delivery (e.g no G/J tube)
  4. Known increased infection risk due to immunosuppression such as:

    • Prior organ or hematopoietic stem cell transplant
    • Neutropenia (ANC <500 cells/ul)
    • HIV and CD4 <200 cells/ul
  5. Known history or active endocarditis
  6. Recent on CAPD or hemodialysis-
  7. Documented pregnancy

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Supportive Care
  • Allocation: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Health supplements + standard care
28 days of health supplements (Synbiotic) daily plus standard care
28 days of health supplements (synbiotic), 4g daily
No Intervention: Standard care
No intervention

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Combined symptom score
Time Frame: 4 weeks
Combined symptom score improvement of the first 4 weeks. Symptoms score assessment ranges from 20-80. The higher the score, the worse the symptoms.
4 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Clinical improvement
Time Frame: 4 weeks
Compare the number and severity of symptoms existing by checking the list in symptoms assessment such as cough, shortness of breath, fever and gastrointestinal symptoms like anorexia, nausea, vomiting, abdominal pain, bloating before and during the study
4 weeks
Time to develop antibody against SARS-CoV-2
Time Frame: 16 days
Compare the time to develop antibody against SARS-CoV-2 in both group
16 days
Quality of life measured by EQ-5D-5L
Time Frame: 4 weeks
Improvement of quality of life measured by EQ-5D-5L. EQ-5D-5L is a self-assessed, health related, quality of life questionnaire. The scale measures quality of life on a 5-component scale including mobility, self-care, usual activities, pain/discomfort, and anxiety/depression.The index can be calculated by deducting the appropriate weights from 1, the value for full health (i.e. state 11111). Each category ranges from 1 to 5. The small the number, the better the health. The EQ-VAS is a vertical visual analogue scale that ranges 0-100 (higher score indicates better imaginable health).
4 weeks
Quality of life measured by SF-12
Time Frame: 4 weeks
Improvement of quality of life measured by SF-12. SF-12 is a self-reported outcome measure assessing the impact of health on an individual's everyday life. There are formulas for transformation of scale scores so that they will range from 0-100. High score in functioning items indicates better functioning while high score in pain items indicates freedom from pain.
4 weeks
Duration of hospital stay
Time Frame: up to 3 months
Measure the duration of hospital stay in both group
up to 3 months
Time to negative PCR
Time Frame: through study completion, an average of 1 year
Compare the time to negative PCR in both group
through study completion, an average of 1 year
Trend of symptom score
Time Frame: 4 weeks
Trend of symptom score, ranges from 26-104. The higher the score, the worse the symptoms.
4 weeks
Gastrointestinal symptoms
Time Frame: 4 weeks
Duration of gastrointestinal symptoms such as anorexia, nausea, vomiting, abdominal pain, bloating within 4 week.
4 weeks
Changes in fecal bacteria metabolites
Time Frame: weeks 2, 4, 5 and 8 months 3, 6, 9 and 12
Changes in fecal bacteria metabolites measured by PCR at different time points
weeks 2, 4, 5 and 8 months 3, 6, 9 and 12
Change in plasma cytokines level
Time Frame: week 2 and week 5
Change in plasma cytokines level at week 2 and week 5 compared with baseline
week 2 and week 5
Changes in the gut microbiome
Time Frame: weeks 1, 2, 3, 4, 5, 8 and months 3, 6, 9 and 12
Changes in the gut microbiome (bacteria, virome and fungome) measured by metagenomics at different time points (weeks 1, 2, 3, 4, 5 and months 3, 6, 9 and 12) compared to baseline
weeks 1, 2, 3, 4, 5, 8 and months 3, 6, 9 and 12
Number of admission to Intensive Care Unit
Time Frame: 4 weeks
Number of admission to Intensive Care Unit
4 weeks
Number of subjects with home discharge
Time Frame: 4 weeks
Number of subjects with home discharge
4 weeks
Number of mortality
Time Frame: 4 weeks
Number of mortality
4 weeks
Number of days absent from work
Time Frame: 3 months
Number of days absent from work since admission
3 months
Change of quality of life questionnaire
Time Frame: week 8, months 3, 6, 9 and 12
Change in score on Quality of life using EQ-5D-5L and SF-12. EQ-5D-5L is a self-assessed, health related, quality of life questionnaire. The scale measures quality of life on a 5-component scale including mobility, self-care, usual activities, pain/discomfort, and anxiety/depression.The index can be calculated by deducting the appropriate weights from 1, the value for full health (i.e. state 11111). Each category ranges from 1 to 5. The small the number, the better the health. The EQ-VAS is a vertical visual analogue scale that ranges 0-100 (higher score indicates better imaginable health). While the SF-12 is a self-reported outcome measure assessing the impact of health on an individual's everyday life. There are formulas for transformation of scale scores so that they will range from 0-100. High score in functioning items indicates better functioning while high score in pain items indicates freedom from pain.
week 8, months 3, 6, 9 and 12
Number of adverse event
Time Frame: 3 months
Number of adverse event
3 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 13, 2020

Primary Completion (Actual)

December 31, 2021

Study Completion (Anticipated)

July 31, 2023

Study Registration Dates

First Submitted

August 11, 2020

First Submitted That Met QC Criteria

October 6, 2020

First Posted (Actual)

October 9, 2020

Study Record Updates

Last Update Posted (Actual)

November 3, 2022

Last Update Submitted That Met QC Criteria

November 1, 2022

Last Verified

November 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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