Eucaloric Ketogenic Diet in COVID-19 Cytokine Storm Syndrome

NCT ID: NCT04492228

Last Updated: 2020-09-30

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

100 participants

Study Classification

INTERVENTIONAL

Study Start Date

2020-09-01

Study Completion Date

2021-05-30

Brief Summary

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Covid 19 pandemia is causing millions of deaths worldwide. To date, the evidence gathered suggests that the subgroup of patients who present the most serious clinical feature of COVID-19 could have a "cytokine storm syndrome" better defined as secondary hemophagocytic lymphohistiocytosis (sHLH), characterized by acute respiratory distress (ARDS) and septic shock, followed by multi-organ failure due to an excess of cytokines induced by the inflammatory response to the virus.

The reduction of phagocytic hyperactivation represents a possible treatment for HLH.

Lowering the availability of glucose, the only substrate of aerobic glycolysis and of the Warburg effect in activated macrophages, through the use of ketogenic diets could be a promising solution.

Actually diet is not recognized as impacting on the evolution of COVID-19, however, scientific literature data show that a low carbohydrate and high lipid diet (ketogenic diet) can inhibit inflammation and lead to a clinical improvement of respiratory function.

The hypothesis of this study is that the administration of a ketogenic diet could improve mortality, lower the access to ICU and the need of NIV.

The plan is to enroll 50 patients with COVID 19 infection and administer a 1:4 ketogenic formula during hospitalization in order to verify these outcomes.

Detailed Description

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Conditions

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Covid19 Ketogenic Dieting

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

This is a controlled, randomized, open-label, clinical trial designed to determine whether a ketogenic diet,in comparison with a standard diet, improves mortality and reduces ventilator requirements or ICU access in patients with coronavirus disease.

The study team will prospectively enroll 50 patients with COVID-19 infection administering a 4:1 ratio ketogenic formula (both enteral or parenteral) and 50 with standard diet
Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Ketogenic diet group

patients with COVID-19 feeding with a ketogenic diet (4.1 formula)

Group Type EXPERIMENTAL

Ketogenic diet

Intervention Type OTHER

Eucaloric Ketogenic diet % composition : protein (27%), lipids (67%), carbohydrates (6%: \<30g/day). In pts in artificial nutrition : Eucaloric Ketogenic parenteral nutrition % composition : aminoacids (27%), lipids (67%), carbohydrates (6%: \<30g/day)

Standard diet group

patients with COVID-19 feeding with a standard diet

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Ketogenic diet

Eucaloric Ketogenic diet % composition : protein (27%), lipids (67%), carbohydrates (6%: \<30g/day). In pts in artificial nutrition : Eucaloric Ketogenic parenteral nutrition % composition : aminoacids (27%), lipids (67%), carbohydrates (6%: \<30g/day)

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* documented clinical diagnosis of COVID-19 supported by clinical features and by the positivity to at least one pharyngeal swab
* age ≥18 years
* informed written consent

Exclusion Criteria

* Type I diabetes
* Type II diabetes in therapy with insulin, sulphonylureas, repaglinide, GLP-1 analogues, SGLT2 inhibitors
* Recent acute cardiovascular event (within a month)
* Food allergies to diet components
* Any metabolic disorder capable of influencing gluconeogenesis
* Clinical history of severe hypertriglyceridemia with or without pancreatitis
* Pregnancy and/or breastfeeding
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Ospedale Policlinico San Martino

OTHER

Sponsor Role lead

Responsible Party

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Sukkar Samir, MD

Dr Samir Giuseppe Sukkar

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Samir Giuseppe Sukkar

Genova, , Italy

Site Status RECRUITING

Countries

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Italy

Central Contacts

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Samir G Sukkar, MD

Role: CONTACT

Phone: 0105553985

Email: [email protected]

Facility Contacts

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Samir G Sukkar, MD

Role: primary

Livia Pisciotta, MD

Role: backup

References

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Mehta P, McAuley DF, Brown M, Sanchez E, Tattersall RS, Manson JJ; HLH Across Speciality Collaboration, UK. COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet. 2020 Mar 28;395(10229):1033-1034. doi: 10.1016/S0140-6736(20)30628-0. Epub 2020 Mar 16. No abstract available.

Reference Type BACKGROUND
PMID: 32192578 (View on PubMed)

Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, Xia J, Yu T, Zhang X, Zhang L. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020 Feb 15;395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7. Epub 2020 Jan 30.

Reference Type BACKGROUND
PMID: 32007143 (View on PubMed)

Karakike E, Giamarellos-Bourboulis EJ. Macrophage Activation-Like Syndrome: A Distinct Entity Leading to Early Death in Sepsis. Front Immunol. 2019 Jan 31;10:55. doi: 10.3389/fimmu.2019.00055. eCollection 2019.

Reference Type BACKGROUND
PMID: 30766533 (View on PubMed)

Yoshikawa T, Hill T, Li K, Peters CJ, Tseng CT. Severe acute respiratory syndrome (SARS) coronavirus-induced lung epithelial cytokines exacerbate SARS pathogenesis by modulating intrinsic functions of monocyte-derived macrophages and dendritic cells. J Virol. 2009 Apr;83(7):3039-48. doi: 10.1128/JVI.01792-08. Epub 2008 Nov 12.

Reference Type BACKGROUND
PMID: 19004938 (View on PubMed)

Ksiazek TG, Erdman D, Goldsmith CS, Zaki SR, Peret T, Emery S, Tong S, Urbani C, Comer JA, Lim W, Rollin PE, Dowell SF, Ling AE, Humphrey CD, Shieh WJ, Guarner J, Paddock CD, Rota P, Fields B, DeRisi J, Yang JY, Cox N, Hughes JM, LeDuc JW, Bellini WJ, Anderson LJ; SARS Working Group. A novel coronavirus associated with severe acute respiratory syndrome. N Engl J Med. 2003 May 15;348(20):1953-66. doi: 10.1056/NEJMoa030781. Epub 2003 Apr 10.

Reference Type BACKGROUND
PMID: 12690092 (View on PubMed)

Kindler E, Thiel V. SARS-CoV and IFN: Too Little, Too Late. Cell Host Microbe. 2016 Feb 10;19(2):139-41. doi: 10.1016/j.chom.2016.01.012.

Reference Type BACKGROUND
PMID: 26867172 (View on PubMed)

Channappanavar R, Fehr AR, Vijay R, Mack M, Zhao J, Meyerholz DK, Perlman S. Dysregulated Type I Interferon and Inflammatory Monocyte-Macrophage Responses Cause Lethal Pneumonia in SARS-CoV-Infected Mice. Cell Host Microbe. 2016 Feb 10;19(2):181-93. doi: 10.1016/j.chom.2016.01.007.

Reference Type BACKGROUND
PMID: 26867177 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 31986264 (View on PubMed)

Li B, Yang J, Zhao F, Zhi L, Wang X, Liu L, Bi Z, Zhao Y. Prevalence and impact of cardiovascular metabolic diseases on COVID-19 in China. Clin Res Cardiol. 2020 May;109(5):531-538. doi: 10.1007/s00392-020-01626-9. Epub 2020 Mar 11.

Reference Type BACKGROUND
PMID: 32161990 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 32125452 (View on PubMed)

Tate RM, Repine JE. Neutrophils and the adult respiratory distress syndrome. Am Rev Respir Dis. 1983 Sep;128(3):552-9. doi: 10.1164/arrd.1983.128.3.552. No abstract available.

Reference Type BACKGROUND
PMID: 6351681 (View on PubMed)

Keatings VM, Barnes PJ. Granulocyte activation markers in induced sputum: comparison between chronic obstructive pulmonary disease, asthma, and normal subjects. Am J Respir Crit Care Med. 1997 Feb;155(2):449-53. doi: 10.1164/ajrccm.155.2.9032177.

Reference Type BACKGROUND
PMID: 9032177 (View on PubMed)

Foucher P, Heeringa P, Petersen AH, Huitema MG, Brouwer E, Tervaert JW, Prop J, Camus P, Weening JJ, Kallenberg CG. Antimyeloperoxidase-associated lung disease. An experimental model. Am J Respir Crit Care Med. 1999 Sep;160(3):987-94. doi: 10.1164/ajrccm.160.3.9807139.

Reference Type BACKGROUND
PMID: 10471629 (View on PubMed)

Johnson KJ, Fantone JC 3rd, Kaplan J, Ward PA. In vivo damage of rat lungs by oxygen metabolites. J Clin Invest. 1981 Apr;67(4):983-93. doi: 10.1172/jci110149.

Reference Type BACKGROUND
PMID: 6894154 (View on PubMed)

Haegens A, Vernooy JH, Heeringa P, Mossman BT, Wouters EF. Myeloperoxidase modulates lung epithelial responses to pro-inflammatory agents. Eur Respir J. 2008 Feb;31(2):252-60. doi: 10.1183/09031936.00029307. Epub 2007 Dec 5.

Reference Type BACKGROUND
PMID: 18057061 (View on PubMed)

van der Veen BS, de Winther MP, Heeringa P. Myeloperoxidase: molecular mechanisms of action and their relevance to human health and disease. Antioxid Redox Signal. 2009 Nov;11(11):2899-937. doi: 10.1089/ars.2009.2538.

Reference Type BACKGROUND
PMID: 19622015 (View on PubMed)

Niu S, Bian Z, Tremblay A, Luo Y, Kidder K, Mansour A, Zen K, Liu Y. Broad Infiltration of Macrophages Leads to a Proinflammatory State in Streptozotocin-Induced Hyperglycemic Mice. J Immunol. 2016 Oct 15;197(8):3293-3301. doi: 10.4049/jimmunol.1502494. Epub 2016 Sep 12.

Reference Type BACKGROUND
PMID: 27619992 (View on PubMed)

Van der Zwan LP, Scheffer PG, Dekker JM, Stehouwer CD, Heine RJ, Teerlink T. Hyperglycemia and oxidative stress strengthen the association between myeloperoxidase and blood pressure. Hypertension. 2010 Jun;55(6):1366-72. doi: 10.1161/HYPERTENSIONAHA.109.147231. Epub 2010 Apr 12.

Reference Type BACKGROUND
PMID: 20385972 (View on PubMed)

Brennan ML, Penn MS, Van Lente F, Nambi V, Shishehbor MH, Aviles RJ, Goormastic M, Pepoy ML, McErlean ES, Topol EJ, Nissen SE, Hazen SL. Prognostic value of myeloperoxidase in patients with chest pain. N Engl J Med. 2003 Oct 23;349(17):1595-604. doi: 10.1056/NEJMoa035003.

Reference Type BACKGROUND
PMID: 14573731 (View on PubMed)

Baldus S, Heeschen C, Meinertz T, Zeiher AM, Eiserich JP, Munzel T, Simoons ML, Hamm CW; CAPTURE Investigators. Myeloperoxidase serum levels predict risk in patients with acute coronary syndromes. Circulation. 2003 Sep 23;108(12):1440-5. doi: 10.1161/01.CIR.0000090690.67322.51. Epub 2003 Sep 2.

Reference Type BACKGROUND
PMID: 12952835 (View on PubMed)

Other Identifiers

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KETOCOV-1

Identifier Type: -

Identifier Source: org_study_id