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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04323228
Other study ID # ONS_COVID-19
Secondary ID
Status Recruiting
Phase Phase 2/Phase 3
First received
Last updated
Start date September 1, 2020
Est. completion date December 30, 2020

Study information

Verified date September 2020
Source King Saud University
Contact Mahmoud M.A. Abulmeaty, M.D., FACN
Phone 00966548155983
Email mabulmeaty@ksu.edu.sa
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

COVID-19 pandemic threatens patients, societies and healthcare systems around the world. The host immunity determines the progress of the disease and its lethality. The associated cytokine storm mainly affects the lungs; leading to acute lung injury with variable degrees. Modulation of cytokine production using Immunonutrition is a novel concept that has been applied to other diseases. Using specific nutrients such as n3- fatty acids and antioxidant vitamins in extraordinary doses modulate the host immune response and ameliorate the cytokine storm associated with viral diseases such as COVID-19. In this proposal, we will conduct a prospective double-blinded controlled trial for 14 days on 30 SARS-CoV-2 positive cases. The participant will be randomly assigned to two groups (n=20/each); intervention (IG) and placebo (PG) groups. The IG group will be provided with an anti-inflammatory and antioxidant oral supplement (OS) on a daily basis, while the PG will be given an isocaloric placebo. Basal and weekly nutritional screening, as well as recording of anthropometric, clinical and biochemical parameters, will be done. The main biochemical parameters include serum ferritin level, cytokine storm parameters (interleukin-6, Tumor necrosis factor-α, and monocyte chemoattractant protein 1), C-reactive protein, total leukocyte count, differential lymphocytic count and neutrophil to lymphocyte ratio. It is expected that the anti-inflammatory-antioxidant OS might help in the reduction of the COVID-19 severity with more preservation of the nutritional status of infected cases.


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.


Recruitment information / eligibility

Status Recruiting
Enrollment 40
Est. completion date December 30, 2020
Est. primary completion date December 1, 2020
Accepts healthy volunteers No
Gender All
Age group 18 Years to 65 Years
Eligibility 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 Design


Related Conditions & MeSH terms


Intervention

Dietary Supplement:
Oral supplement enriched in antioxidants
the intervention group will receive a commercially available antioxidant supplement, which will be given to patients with COVID-19 in the morning after breakfast.
cellulose-containing placebo capsules
The placebo group will receive an oral supplement at the same time in the same shape/size/color.

Locations

Country Name City State
Saudi Arabia Prince Mohamed BinAbdulaziz Hospital Riyadh

Sponsors (1)

Lead Sponsor Collaborator
King Saud University

Country where clinical trial is conducted

Saudi Arabia, 

References & Publications (15)

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. — View Citation

Calder PC. Immunonutrition in surgical and critically ill patients. Br J Nutr. 2007 Oct;98 Suppl 1:S133-9. Review. — View Citation

Cascella M, Rajnik M, Cuomo A, Dulebohn SC, Di Napoli R. Features, Evaluation, and Treatment of Coronavirus (COVID-19). 2020 Aug 10. StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2020 Jan-. Available from http://www.ncbi.nlm.nih.gov/books/NBK554776/ — View Citation

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. — View Citation

Grimm H, Calder PC. Immunonutrition. Br J Nutr. 2002 Jan;87 Suppl 1:S1. — View Citation

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(®) 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. — View Citation

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;:. — View Citation

Kim H. Glutamine as an immunonutrient. Yonsei Med J. 2011 Nov;52(6):892-7. doi: 10.3349/ymj.2011.52.6.892. Review. — View Citation

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. — View Citation

Mariette C. Immunonutrition. J Visc Surg. 2015 Aug;152 Suppl 1:S14-7. doi: 10.1016/S1878-7886(15)30005-9. Review. Erratum in: J Visc Surg. 2016 Feb;153(1):83. — View Citation

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. — View Citation

McCowen KC, Bistrian BR. Immunonutrition: problematic or problem solving? Am J Clin Nutr. 2003 Apr;77(4):764-70. Review. — View Citation

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. Erratum in: Intensive Care Med. 2020 Apr 6;:. — View Citation

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. — View Citation

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. Review. — View Citation

* Note: There are 15 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Change from baseline score of Nutrition risk screening-2002 (NRS-2002) at end of the trial 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. up to 3 months
Primary Change from baseline Serum ferritin level at end of the trial Change in serum ferritin at the end of the trial as ferritin is considered as a COVID-19 fatality predictor. up to 3 months
Primary Change from baseline serum Interleukin-6 concentration at end of the trial 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 up to 3 months
Primary Change from baseline serum C-reactive protein concentration at end of the trial Change in C-reactive protein in the serum at the end of the trial which reflect the acute phase up to 3 months
Primary Change from baseline serum Tumor necrosis factor-a concentration at end of the trial Change in the TNF a in the serum at the end of study as it represent severity of the cytokine storm up to 3 months
Primary Change from baseline serum monocyte chemoattractant protein 1 (MCP-1) at end of the trial plasma MCP-1 represent severity of the cytokine storm up to 3 months
Secondary Change from baseline Weight at end of the trial Body weight in Kg up to 3 months
Secondary Height stature in cm up to 1 month
Secondary Change from baseline BMI at end of the trial Claculation of BMI according to weight / square Height up to 3 months
Secondary Change from baseline mid arm circumference at end of the trial changes of MAC in cm up to 3 months
Secondary Change from baseline triceps skin-fold thickness at end of the trial changes of TSF in mm up to 3 months
Secondary Change from baseline MAMA at end of the trial ). The mid-arm muscle area (MAMA) will be calculated according to the following equation: {MAMA= (MAC - p x TSF)2 / 4p}. Up to 3 months
Secondary Change from baseline percentage of peripheral O2 saturation at end of the trial changes in the percentage of peripheral O2 saturation by an oximeter up to 3 months
Secondary Change from baseline degree of body temperature at end of the trial changes in the degree of body temperature by infrared thermometer up to 3 months
Secondary Change from baseline count the total leukocyte at end of the trial change in the count from complete blood counts up to 3 months
Secondary Change from baseline differential lymphocytic count at end of the trial change in the count from complete blood counts up to 3 months
Secondary Change from baseline Neutrophil count at end of the trial change in the count from complete blood counts up to 3 months
Secondary Change from baseline neutrophil to lymphocyte ratio at end of the trial change in the rations calculated by division of the neutrophil count by the lymphocyte count up to 3 months
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