- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04323228
Anti-inflammatory/Antioxidant Oral Nutrition Supplementation in COVID-19 (ONSCOVID19)
Anti-inflammatory/Antioxidant Oral Nutrition Supplementation on the Cytokine Storm and Progression of COVID-19: A Randomized Controlled Trial
Study Overview
Status
Conditions
Detailed Description
Subjects: A total of 40 participants will be enrolled in this double-blinded prospective, randomized controlled trial. All participants will sign a written consent after details of the study have been fully explained to them. Later on, they will be randomly allocated into two study groups; intervention group (IG, n=20) and placebo group (PG, n=20). Computer-generated random numbers will be used to randomize the participants into one of two intervention groups. The study protocol will be approved by the IRB committee in King Khalid University Hospital, King Saud University Medical city. This clinical trial will be registered in the clinicaltrials.gov registry.
Settings: All participants will be SARS-CoV-2 positive cases admitted to King Khalid University Hospital.
Study protocol: All study participants will be instructed to either consume one capsule of oral supplement enriched in antioxidants vitamins or placebo. The OS will be served in opaque capsules of the same size, shape and color and should be ingested in the morning under the supervision of a nurse. The OS should not be consumed before the time of a meal. The composition of one capsule of the intervention-OS includes: enriched in vitamin A, C, E, Selenium and Zinc. The composition of one capsule of the intervention-supplement includes: 1500 mcg vitamin A (as β-carotene), 250 mg Vitamin C, 90 mg vitamin E, 15 ug Selenium, and 7.5 mg Zinc. The composition of the placebo will have the same weight of cellulose, and zero concentrations of vitamin A, C, E, Selenium and zinc.
All participants will be assessed at the start and reassessed again after 1 week and after 14-days period. The assessment will include nutritional screening by Nutritional risk screening 2002 (NRS-2002), Subjective global assessment (SGA), and Global Leadership Initiative on Malnutrition (GLIM) criteria. Besides anthropometric measures, clinical Global Leadership Initiative on Malnutrition (GLIM). also, anthropometric measurements, clinical assessment, and biochemical data will be measured. Statistical analysis: The Statistical Package for the Social Sciences (SPSS) version 25 will be used for analysis. The descriptive statistics for continuous variables will be presented as mean ± standard deviation, while other categorical variables as percentages. The independent sample t-test will be used for comparison between the IG and PG groups. For repeated measures at multiple points of time will be tested by Friedman's two-way ANOVA. The Pearson correlation coefficient will be applied to correlate some relevant variables. All these tests were performed with 80% power and a 5% level of significance.
Study Type
Enrollment (Anticipated)
Phase
- Phase 2
- Phase 3
Contacts and Locations
Study Contact
- Name: Mahmoud M.A. Abulmeaty, M.D., FACN
- Phone Number: 00966548155983
- Email: mabulmeaty@ksu.edu.sa
Study Locations
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Riyadh, Saudi Arabia, 14214
- Recruiting
- Prince Mohamed BinAbdulaziz Hospital
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Contact:
- Abdulla Abdulsalam, MD
- Phone Number: 00966112616462
- Email: research-dept@pmah.com
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Confirmed SARS-CoV-2 infection
- COVID-19 patient in stable condition (i.e., not requiring ICU admission).
Exclusion Criteria:
- Tube feeding or parenteral nutrition.
- Pregnant or lactating women
- Admission to ICU > 24 hours
- participation in another study including any forms of supplementation or disease specific ONS.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Intervention
the intervention groups will receive daily oral antioxidant supplement enriched in vitamin A, C, E, Selenium and Zinc.
The composition of one capsule of the intervention-supplement includes: 1500 mcg vitamin A (as β-carotene), 250 mg Vitamin C, 90 mg vitamin E, 15 ug Selenium, and 7.5 mg Zinc.
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the intervention group will receive a commercially available antioxidant supplement, which will be given to patients with COVID-19 in the morning after breakfast.
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Placebo Comparator: Placebo
Placebo group will receive daily intervention in form of cellulose-containing gelatin capsules with the same color and shape.
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The placebo group will receive an oral supplement at the same time in the same shape/size/color.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change from baseline score of Nutrition risk screening-2002 (NRS-2002) at end of the trial
Time Frame: up to 3 months
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Changes in scores of the NRS-2002 for patients with COVID-19 at the end of the study, from 0 to 7 scores, with those scores < 3 means no risk of malnutrition and >= 3 means malnutrition.
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up to 3 months
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Change from baseline Serum ferritin level at end of the trial
Time Frame: up to 3 months
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Change in serum ferritin at the end of the trial as ferritin is considered as a COVID-19 fatality predictor.
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up to 3 months
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Change from baseline serum Interleukin-6 concentration at end of the trial
Time Frame: up to 3 months
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Change in IL-6 at the end of the trial as it represent the cytokine storm and it is considered as a COVID-19 fatality predictor
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up to 3 months
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Change from baseline serum C-reactive protein concentration at end of the trial
Time Frame: up to 3 months
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Change in C-reactive protein in the serum at the end of the trial which reflect the acute phase
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up to 3 months
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Change from baseline serum Tumor necrosis factor-α concentration at end of the trial
Time Frame: up to 3 months
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Change in the TNF a in the serum at the end of study as it represent severity of the cytokine storm
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up to 3 months
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Change from baseline serum monocyte chemoattractant protein 1 (MCP-1) at end of the trial
Time Frame: up to 3 months
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plasma MCP-1 represent severity of the cytokine storm
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up to 3 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change from baseline Weight at end of the trial
Time Frame: up to 3 months
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Body weight in Kg
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up to 3 months
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Height
Time Frame: up to 1 month
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stature in cm
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up to 1 month
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Change from baseline BMI at end of the trial
Time Frame: up to 3 months
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Claculation of BMI according to weight / square Height
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up to 3 months
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Change from baseline mid arm circumference at end of the trial
Time Frame: up to 3 months
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changes of MAC in cm
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up to 3 months
|
Change from baseline triceps skin-fold thickness at end of the trial
Time Frame: up to 3 months
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changes of TSF in mm
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up to 3 months
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Change from baseline MAMA at end of the trial
Time Frame: Up to 3 months
|
).
The mid-arm muscle area (MAMA) will be calculated according to the following equation: {MAMA= (MAC - π x TSF)2 / 4π}.
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Up to 3 months
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Change from baseline percentage of peripheral O2 saturation at end of the trial
Time Frame: up to 3 months
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changes in the percentage of peripheral O2 saturation by an oximeter
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up to 3 months
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Change from baseline degree of body temperature at end of the trial
Time Frame: up to 3 months
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changes in the degree of body temperature by infrared thermometer
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up to 3 months
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Change from baseline count the total leukocyte at end of the trial
Time Frame: up to 3 months
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change in the count from complete blood counts
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up to 3 months
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Change from baseline differential lymphocytic count at end of the trial
Time Frame: up to 3 months
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change in the count from complete blood counts
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up to 3 months
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Change from baseline Neutrophil count at end of the trial
Time Frame: up to 3 months
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change in the count from complete blood counts
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up to 3 months
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Change from baseline neutrophil to lymphocyte ratio at end of the trial
Time Frame: up to 3 months
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change in the rations calculated by division of the neutrophil count by the lymphocyte count
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up to 3 months
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Collaborators and Investigators
Sponsor
Publications and helpful links
General 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 Jan 30;:
- Ruan Q, Yang K, Wang W, Jiang L, Song J. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intensive Care Med. 2020 May;46(5):846-848. doi: 10.1007/s00134-020-05991-x. Epub 2020 Mar 3. No abstract available. Erratum In: Intensive Care Med. 2020 Apr 6;:
- Cascella M, Rajnik M, Aleem A, Dulebohn SC, Di Napoli R. Features, Evaluation, and Treatment of Coronavirus (COVID-19). 2022 Oct 13. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2022 Jan-. Available from http://www.ncbi.nlm.nih.gov/books/NBK554776/
- Calder PC. Immunonutrition in surgical and critically ill patients. Br J Nutr. 2007 Oct;98 Suppl 1:S133-9. doi: 10.1017/S0007114507832909.
- Abulmeaty MM, Almajwal AM, Almadani NK, Aldosari MS, Alnajim AA, Ali SB, Hassan HM, Elkatawy HA. Anthropometric and central obesity indices as predictors of long-term cardiometabolic risk among Saudi young and middle-aged men and women. Saudi Med J. 2017 Apr;38(4):372-380. doi: 10.15537/smj.2017.4.18758.
- Grimm H, Calder PC. Immunonutrition. Br J Nutr. 2002 Jan;87 Suppl 1:S1. doi: 10.1079/bjn2001450. No abstract available.
- Das SK, Chisti MJ, Sarker MHR, Das J, Ahmed S, Shahunja KM, Nahar S, Gibbons N, Ahmed T, Faruque ASG, Rahman M, J Fuchs G 3rd, Al Mamun A, John Baker P. Long-term impact of changing childhood malnutrition on rotavirus diarrhoea: Two decades of adjusted association with climate and socio-demographic factors from urban Bangladesh. PLoS One. 2017 Sep 6;12(9):e0179418. doi: 10.1371/journal.pone.0179418. eCollection 2017.
- Harada K, Minami H, Ferdous T, Kato Y, Umeda H, Horinaga D, Uchida K, Park SC, Hanazawa H, Takahashi S, Ohota M, Matsumoto H, Maruta J, Kakutani H, Aritomi S, Shibuya K, Mishima K. The Elental(R) elemental diet for chemoradiotherapy-induced oral mucositis: A prospective study in patients with oral squamous cell carcinoma. Mol Clin Oncol. 2019 Jan;10(1):159-167. doi: 10.3892/mco.2018.1769. Epub 2018 Nov 16.
- Kim H. Glutamine as an immunonutrient. Yonsei Med J. 2011 Nov;52(6):892-7. doi: 10.3349/ymj.2011.52.6.892.
- Kondrup J, Allison SP, Elia M, Vellas B, Plauth M; Educational and Clinical Practice Committee, European Society of Parenteral and Enteral Nutrition (ESPEN). ESPEN guidelines for nutrition screening 2002. Clin Nutr. 2003 Aug;22(4):415-21. doi: 10.1016/s0261-5614(03)00098-0.
- McCowen KC, Bistrian BR. Immunonutrition: problematic or problem solving? Am J Clin Nutr. 2003 Apr;77(4):764-70. doi: 10.1093/ajcn/77.4.764.
- Mariette C. Immunonutrition. J Visc Surg. 2015 Aug;152 Suppl 1:S14-7. doi: 10.1016/S1878-7886(15)30005-9. Erratum In: J Visc Surg. 2016 Feb;153(1):83.
- McCarthy MS, Martindale RG. Immunonutrition in Critical Illness: What Is the Role? Nutr Clin Pract. 2018 Jun;33(3):348-358. doi: 10.1002/ncp.10102.
- Tisoncik JR, Korth MJ, Simmons CP, Farrar J, Martin TR, Katze MG. Into the eye of the cytokine storm. Microbiol Mol Biol Rev. 2012 Mar;76(1):16-32. doi: 10.1128/MMBR.05015-11.
- Teo BW, Toh QC, Chan XW, Xu H, Li JL, Lee EJ. Assessment of muscle mass and its association with protein intake in a multi-ethnic Asian population: relevance in chronic kidney disease. Asia Pac J Clin Nutr. 2014;23(4):619-25. doi: 10.6133/apjcn.2014.23.4.01.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Coronavirus Infections
- Coronaviridae Infections
- Nidovirales Infections
- RNA Virus Infections
- Virus Diseases
- Infections
- Respiratory Tract Infections
- Respiratory Tract Diseases
- Pneumonia, Viral
- Pneumonia
- Lung Diseases
- COVID-19
- Physiological Effects of Drugs
- Molecular Mechanisms of Pharmacological Action
- Protective Agents
- Antioxidants
Other Study ID Numbers
- ONS_COVID-19
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- Study Protocol
- Statistical Analysis Plan (SAP)
- Clinical Study Report (CSR)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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