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Status unknownNCT04581018Updated Nov 3, 2022

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

An interventional study of Health supplements in Covid19 and Microbiota, sponsored by Siew Chien NG. Status unknown at 1 site in Hong Kong. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2022-11-03.

Sponsored by Siew Chien NG · Not applicable, Interventional, and Supportive care

The sponsor has not verified this record recently (last verified Nov 2022), so the status shown — last known as Enrolling by invitation — may be out of date.
Phase
Not applicable
Study type
Interventional
Enrollment
50
Allocation
Non-randomized
Ages
18 Years and older
Sex
All
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Study summary

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.

Read the 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.

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Conditions studied

  • Covid19
  • Microbiota

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03

In context

COVID-19

7,640 studies on the registry are indexed under COVID-19; 488 are open to participants now.

This study's planned enrollment of 50 is below the median of 100 across 4,099 interventional studies indexed under COVID-19.

Browse COVID-19 studies →

Lead sponsor

This is the only study on the registry with Siew Chien NG as lead sponsor.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

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

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
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Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
50 participants (estimated)

Study arms

  • Active comparator
    Health supplements + standard care

    28 days of health supplements (Synbiotic) daily plus standard care

    Other: Health supplements

  • No intervention
    Standard care

    No intervention

Interventions

  • OtherHealth supplements

    28 days of health supplements (synbiotic), 4g daily

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What researchers measure

Primary outcomes

  1. Combined symptom score

    Combined symptom score improvement of the first 4 weeks. Symptoms score assessment ranges from 20-80. The higher the score, the worse the symptoms.

    Time frame: 4 weeks

Secondary outcomes

  1. Clinical improvement

    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

    Time frame: 4 weeks

  2. Time to develop antibody against SARS-CoV-2

    Compare the time to develop antibody against SARS-CoV-2 in both group

    Time frame: 16 days

  3. Quality of life measured by EQ-5D-5L

    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).

    Time frame: 4 weeks

  4. Quality of life measured by SF-12

    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.

    Time frame: 4 weeks

  5. Duration of hospital stay

    Measure the duration of hospital stay in both group

    Time frame: up to 3 months

  6. Time to negative PCR

    Compare the time to negative PCR in both group

    Time frame: through study completion, an average of 1 year

  7. Trend of symptom score

    Trend of symptom score, ranges from 26-104. The higher the score, the worse the symptoms.

    Time frame: 4 weeks

  8. Gastrointestinal symptoms

    Duration of gastrointestinal symptoms such as anorexia, nausea, vomiting, abdominal pain, bloating within 4 week.

    Time frame: 4 weeks

  9. Changes in fecal bacteria metabolites

    Changes in fecal bacteria metabolites measured by PCR at different time points

    Time frame: weeks 2, 4, 5 and 8 months 3, 6, 9 and 12

  10. Change in plasma cytokines level

    Change in plasma cytokines level at week 2 and week 5 compared with baseline

    Time frame: week 2 and week 5

  11. Changes in the gut microbiome

    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

    Time frame: weeks 1, 2, 3, 4, 5, 8 and months 3, 6, 9 and 12

  12. Number of admission to Intensive Care Unit

    Number of admission to Intensive Care Unit

    Time frame: 4 weeks

  13. Number of subjects with home discharge

    Number of subjects with home discharge

    Time frame: 4 weeks

  14. Number of mortality

    Number of mortality

    Time frame: 4 weeks

  15. Number of days absent from work

    Number of days absent from work since admission

    Time frame: 3 months

  16. Change of quality of life questionnaire

    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.

    Time frame: week 8, months 3, 6, 9 and 12

  17. Number of adverse event

    Number of adverse event

    Time frame: 3 months

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Study locations

1 site
  • The Chinese University of Hong Kong
    Sha Tin, 000000, Hong Kong
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References and documents

Publications

  • Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z, Yu T, Xia J, Wei Y, Wu W, Xie X, Yin W, Li H, Liu M, Xiao Y, Gao H, Guo L, Xie J, Wang G, Jiang R, Gao Z, Jin Q, Wang J, Cao B. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24. Erratum In: Lancet. 2020 Feb 15;395(10223):496. doi: 10.1016/S0140-6736(20)30252-X. PubMed 31986264 ↗
  • Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, Zhao X, Huang B, Shi W, Lu R, Niu P, Zhan F, Ma X, Wang D, Xu W, Wu G, Gao GF, Tan W; China Novel Coronavirus Investigating and Research Team. A Novel Coronavirus from Patients with Pneumonia in China, 2019. N Engl J Med. 2020 Feb 20;382(8):727-733. doi: 10.1056/NEJMoa2001017. Epub 2020 Jan 24. PubMed 31978945 ↗
  • Wong CK, Lam CW, Wu AK, Ip WK, Lee NL, Chan IH, Lit LC, Hui DS, Chan MH, Chung SS, Sung JJ. Plasma inflammatory cytokines and chemokines in severe acute respiratory syndrome. Clin Exp Immunol. 2004 Apr;136(1):95-103. doi: 10.1111/j.1365-2249.2004.02415.x. PubMed 15030519 ↗
  • Holshue ML, DeBolt C, Lindquist S, Lofy KH, Wiesman J, Bruce H, Spitters C, Ericson K, Wilkerson S, Tural A, Diaz G, Cohn A, Fox L, Patel A, Gerber SI, Kim L, Tong S, Lu X, Lindstrom S, Pallansch MA, Weldon WC, Biggs HM, Uyeki TM, Pillai SK; Washington State 2019-nCoV Case Investigation Team. First Case of 2019 Novel Coronavirus in the United States. N Engl J Med. 2020 Mar 5;382(10):929-936. doi: 10.1056/NEJMoa2001191. Epub 2020 Jan 31. PubMed 32004427 ↗
  • Yeo C, Kaushal S, Yeo D. Enteric involvement of coronaviruses: is faecal-oral transmission of SARS-CoV-2 possible? Lancet Gastroenterol Hepatol. 2020 Apr;5(4):335-337. doi: 10.1016/S2468-1253(20)30048-0. Epub 2020 Feb 20. No abstract available. PubMed 32087098 ↗
  • Liang W, Feng Z, Rao S, Xiao C, Xue X, Lin Z, Zhang Q, Qi W. Diarrhoea may be underestimated: a missing link in 2019 novel coronavirus. Gut. 2020 Jun;69(6):1141-1143. doi: 10.1136/gutjnl-2020-320832. Epub 2020 Feb 26. No abstract available. PubMed 32102928 ↗
  • Hashimoto T, Perlot T, Rehman A, Trichereau J, Ishiguro H, Paolino M, Sigl V, Hanada T, Hanada R, Lipinski S, Wild B, Camargo SM, Singer D, Richter A, Kuba K, Fukamizu A, Schreiber S, Clevers H, Verrey F, Rosenstiel P, Penninger JM. ACE2 links amino acid malnutrition to microbial ecology and intestinal inflammation. Nature. 2012 Jul 25;487(7408):477-81. doi: 10.1038/nature11228. PubMed 22837003 ↗
  • Zuo T, Zhan H, Zhang F, Liu Q, Tso EYK, Lui GCY, Chen N, Li A, Lu W, Chan FKL, Chan PKS, Ng SC. Alterations in Fecal Fungal Microbiome of Patients With COVID-19 During Time of Hospitalization until Discharge. Gastroenterology. 2020 Oct;159(4):1302-1310.e5. doi: 10.1053/j.gastro.2020.06.048. Epub 2020 Jun 26. PubMed 32598884 ↗
  • WHO Coronavirus Disease (COVID-19) Dashboard. [Assessed on 24 Jul 2020]. https://covid19.who.int/
  • Latest situation of cases of COVID-19. [Assessed on 24 Jul 2020]. https://www.chp.gov.hk/files/pdf/local_situation_covid19_en.pdf
  • Cao B, Wang Y, Wen D, Liu W, Wang J, Fan G, Ruan L, Song B, Cai Y, Wei M, Li X, Xia J, Chen N, Xiang J, Yu T, Bai T, Xie X, Zhang L, Li C, Yuan Y, Chen H, Li H, Huang H, Tu S, Gong F, Liu Y, Wei Y, Dong C, Zhou F, Gu X, Xu J, Liu Z, Zhang Y, Li H, Shang L, Wang K, Li K, Zhou X, Dong X, Qu Z, Lu S, Hu X, Ruan S, Luo S, Wu J, Peng L, Cheng F, Pan L, Zou J, Jia C, Wang J, Liu X, Wang S, Wu X, Ge Q, He J, Zhan H, Qiu F, Guo L, Huang C, Jaki T, Hayden FG, Horby PW, Zhang D, Wang C. A Trial of Lopinavir-Ritonavir in Adults Hospitalized with Severe Covid-19. N Engl J Med. 2020 May 7;382(19):1787-1799. doi: 10.1056/NEJMoa2001282. Epub 2020 Mar 18. PubMed 32187464 ↗
  • Docherty AB, Harrison EM, Green CA, Hardwick HE, Pius R, Norman L, Holden KA, Read JM, Dondelinger F, Carson G, Merson L, Lee J, Plotkin D, Sigfrid L, Halpin S, Jackson C, Gamble C, Horby PW, Nguyen-Van-Tam JS, Ho A, Russell CD, Dunning J, Openshaw PJ, Baillie JK, Semple MG; ISARIC4C investigators. Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study. BMJ. 2020 May 22;369:m1985. doi: 10.1136/bmj.m1985. PubMed 32444460 ↗
  • Janowitz T, Gablenz E, Pattinson D, Wang TC, Conigliaro J, Tracey K, Tuveson D. Famotidine use and quantitative symptom tracking for COVID-19 in non-hospitalised patients: a case series. Gut. 2020 Sep;69(9):1592-1597. doi: 10.1136/gutjnl-2020-321852. Epub 2020 Jun 4. PubMed 32499303 ↗

Individual participant data

Plan to share: No

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Nov 3, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT04581018
Lead sponsor
Siew Chien NG
Responsible party
Siew Chien NG (Professor, Chinese University of Hong Kong) — Sponsor-investigator
First posted
Oct 9, 2020
Start date
Aug 13, 2020
Primary completion
Dec 31, 2021
Completion
Jul 31, 2023 (estimated)
Last update
Nov 3, 2022

Study contacts

Siew Chien Ng
principal investigator · Chinese University of Hong Kong

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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