Submitted:
30 July 2024
Posted:
31 July 2024
You are already at the latest version
Abstract
Keywords:
Introduction
- The lack of adverse reactions
- Significant rise of SPMs.
Material and Methods
- Anamnesis and physical exam
- Measure the body temperature, Blood pressure, and heart rate
- Offer the participation in the study
- Give oral and written information and obtain informed consent
- Check the inclusion/exclusion criteria
- Review the current concomitant medication
- Check the inclusion/exclusion criteria
- Physical exam
- Measure the body temperature, Blood pressure, and heart rate
- Blood sample
- Pregnancy test (if applicable)
- Fatigue Severity Scale (FSS) test
- Modified Medical Research Council (mMRC) verificated Dyspnoea Scale
- Randomization
- Record of Adverse Events (AEs)
- Concomitant medication
- Record of intercurrent or concomitant illness
- Provide the IP(s)
- Provide the patient’s diary
- Provide instructions about the completion of the diary
- Physical exam
- Measure the body temperature, Blood pressure, and heart rate
- Blood sample
- Fatigue Severity Scale (FSS) test
- Modified Medical Research Council (mMRC) Dyspnea Scale
- Record of Adverse Events (AEs)
- Concomitant medication
- Record of intercurrent or concomitant illness
- Return of the empty and unused product containers
- Patient’s diary review
- Provide the IP(s)
- Physical exam
- Measure the body temperature, Blood pressure, and heart rate
- Blood sample
- Fatigue Severity Scale (FSS) test
- Modified Medical Research Council (mMRC) Dyspnea Scale
- Record of Adverse Events (AEs)
- Concomitant medication
- Record of intercurrent or concomitant illness
- Return of the empty and unused product containers
- Patient’s diary review
Study Population
Supplement Allocation
- Group A: N = 16 patients
- Group B: N = 16 patients
- Group C: Placebo N = 5 patients
- Group X: N = 16 patients
Statistical Analysis
- Fatigue Severity Scale (FSS) test: The FSS test measures fatigue on a unidimensional scale. It consists of 9 questions with seven possible answers, quantifying each item on a 1 to 7 scale. The evolution of the mean scores from baseline to visit 2 (4th week of treatment, day 28) and to the end of the study (day 84 of treatment) is calculated.
- Modified Medical Research Council (mMRC) Dyspnea Scale: The scale includes 5 degrees of physical activity that could cause dyspnea. The scale punctuates the dyspnea from 0 (No exercise causes dyspnea) to 4 (the dyspnea prevents the patients from leaving the house or performing routine daily activities like dressing up. The baseline results are compared to the scores at visit 2 (day 28) and the end of the study (day 84).
Results
- Changes in the Fatigue Severity Scale (FSS) scores from baseline until weeks 4 and 12
- Changes from baseline until weeks 4 and 12 in the mMRC (Modified Medical Research Council) Dyspnoea Scale.
Discussion
Author Contributions
Funding
References
- Wu YC, Chen CS, Chan YJ. Overview of the 2019 Novel Coronavirus (2019-nCoV): The Pathogen of Severe Specific Contagious Pneumonia (SSCP). Journal of the Chinese Medical Association 2020; 11: 217-220. [CrossRef]
- 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; 395: 497-506. [CrossRef]
- Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina. Coronavirus Disease (COVID-19)-Statistics and Research. https://ourworldindata.org/coronavirus.
- Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, Wang B, Xiang H, Cheng Z, Xiong Y, Zhao Y, Li Y, Wang X, Peng Z. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel. Coronavirus-Infected Pneumonia in Wuhan, China. JAMA 2020; 323: 1061-1069. [CrossRef]
- Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, Xiang J, Wang Y, Song B, Gu X. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. The Lancet 2020; 395: 1054-1062. [CrossRef]
- Sanders JM, Monogue ML, Jodlowski TZ, Cutrell JB. Pharmacologic Treatments for Coronavirus Disease 2019 (COVID-19) JAMA 2020; 323: 1824-1836. [CrossRef]
- Krolewiecki A, Lifschitz A, Moragas M, Travacio M, Valentini R, Alonso DF et al. Antiviral effect of high-dose ivermectin in adults with COVID-19: A proof-of-concept randomized trial. E Clinical Medicine 2021; 37, 100959. [CrossRef]
- D’Elia RV, Harrison K, Oyston PC, Lukaszewski RA, Clark GC. Targeting the "cytokine storm" for therapeutic benefit. Clin Vaccine Immunol 2013; 20: 319–327. [CrossRef]
- Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. JAMA 2020; 323: 1239-1242. [CrossRef]
- 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, Yi 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. New England Journal of Medicine 2020; 382: 1787-1799. [CrossRef]
- Guan W-J, Ni Z-Y, Hu Y, Liang W-H, Ou C-Q, He J-X, Liu L, Shan H, Lei C-L, Hui DSC, Du B, Li L-J, Zeng G, Yuen K-Y, Chen R-C, Tang C-L, Wang T, Chen P-Y, Xiang J, Li S-Y, Wang J-L, Liang Z-J, Peng Y-X, Wei L, Liu Y, Hu Y-H, Peng P, Wang J-M, Liu J-Y, Chen Z, Li G, Zheng Z-J, Qiu S-Q, Luo J, Ye C-J, Zhu S-Y, Nan-Shan Zhong N-S. Clinical characteristics of coronavirus disease 2019 in China. New England Journal of Medicine. 2020:1708-1720. [CrossRef]
- Cheng Y, Luo R, Wang K, Zhang M, Wang Z, Dong L, Li J, Yao Y, Ge S and Xu G. Kidney disease is associated with in-hospital death of patients with COVID-19. Kidney international 2020; 97:829-83. [CrossRef]
- Guo T, Fan Y, Chen M, Wu X, Zhang L, He T, Wang H, Wan J, Wang X, and Lu Z. Cardiovascular Implications of Fatal Outcomes of Patients with Coronavirus Disease 2019 (COVID-19). Jama Cardiology 2020: 811-818. [CrossRef]
- Shi S, Qin M, Shen B, Cai Y, Liu T, Yang F, Gong W, Liu X, Liang J, Zhao Q, Huang H, Yang B and Huang C. Association of Cardiac Injury with Mortality in Hospitalized Patients With COVID-19 in Wuhan, China. Jama Cardiology 2020: 802-810. [CrossRef]
- Xu Z, Shi L, Wang Y, Zhang J, Huang L, Zhang C, Liu S, Zhao P, Liu H, Zhu L. Pathological findings of COVID-19 associated with acute respiratory distress syndrome. The Lancet respiratory medicine 2020; 8:420-422. [CrossRef]
- Wang T, Chen R, Liu C, Liang W, Guan W, Tang R, Tang C, Zhang N, Zhong N, Li S. Attention should be paid to venous thromboembolism prophylaxis in managing COVID-19. The Lancet Haematology 2020; 362-363. [CrossRef]
- Tang N, Bai H, Chen X, Gong J, Li D, Sun Z. Anticoagulant treatment is associated with decreased mortality in severe coronavirus disease 2019 patients with coagulopathy. Journal of thrombosis and hemostasis 2020; 18:1094-1099. [CrossRef]
- Han H, Yang L, Liu R, Liu F, Wu KL, Li J, Liu XH, Zhu CL. Prominent changes in blood coagulation of patients with SARS-CoV-2 infection. Clinical chemistry and laboratory medicine. 2020:1116-1120. [CrossRef]
- Cui S, Chen S, Li X, Liu S, Wang F. Prevalence of venous thromboembolism in patients with severe novel coronavirus pneumonia. Journal of Thrombosis and Haemostasis. 2020; 18:1421-1424. [CrossRef]
- Serhan CN, Dalli J, Colas RA, Winkler JW, Chiang N. Protectins and maresins: New pro-resolving families of mediators in acute inflammation and resolution bioactive metabolome. Biochim Biophys Acta 2015; 1851:397-413.
- Wang Q, Zheng X, Cheng Y, Zhang YL, Wen HX, Tao Z, Li H, Hao Y, Gao Y, Yang L-M, Smith FG, Huang C-J, Jin S-W. Resolvin D1 stimulates alveolar fluid clearance through alveolar epithelial sodium channel, Na, K-ATPase via ALX/cAMP/PI3K pathway in lipopolysaccharide-induced acute lung injury. J Immunol 2014; 192:3765-3777. [CrossRef]
- Serhan, CN. Treating inflammation and infection in the 21st century: new hints from decoding resolution mediators and mechanisms. FASEB J 2017; 31:1273–1288. [CrossRef]
- Serhan CN, Chiang N. Resolution phase lipid mediators of inflammation: agonists of resolution. Curr Opin Pharmacol 2013;13(4):632–40. [CrossRef]
- Wang Q, Yan SF, Hao Y, Jin SW. Specialized Pro-resolving Mediators Regulate Alveolar Fluid Clearance during Acute Respiratory Distress Syndrome. Chinese Medical Journal 2018; 131(8): 982-989. [CrossRef]
- Matthay MA, Ware LB, Zimmerman GA. Acute respiratory distress syndrome. J Clin Invest 2012; 122: 2731-2740. [CrossRef]
- Cilloniz C, Pantin-Jackwood MJ, Ni C, Goodman AG, Peng X, Proll SC, Carter VS, Rosenzweig ER, Szretter KJ, Katz JM, Korth MJ, Swayne DE, Tumpey TM, Katze MG. Lethal dissemination of H5N1 influenza virus is associated with dysregulation of inflammation and lipoxin signaling in a mouse infection model. J Virol 2010; 84:7613–7624. [CrossRef]
- Schwarz B, Sharma L, Roberts L, Peng X, Bermejo S, Leighton I, Casanovas-Massana A, Minasyan M, Farhadian S, Ko AI, Yale IMPACT Team, Dela Cruz CS, Bosio CM. Cutting Edge: Severe SARS-CoV-2 Infection in Humans Is Defined by a Shift in the Serum Lipidome, Resulting in Dysregulation of Eicosanoid Immune Mediators. J Immunol. 2020 Dec 04; ji2001025. [CrossRef]
- WHO/2019-nCoV/Post_COVID-19_condition/Clinical_case_definition/2021. A clinical case definition of post COVID-19 condition by a Delphi consensus. 6 October 2021.
- Tabas I, Glass CK. Anti-inflammatory therapy in chronic disease: challenges and opportunities. Science 2013;339(6116):166–72. [CrossRef]
- Serhan CN, Clish CB, Brannon J, Colgan SP, Chiang N, Gronert K. Novel Functional Sets of Lipid-derived Mediators with Antiinflammatory Actions Generated from Omega-3 Fatty Acids via Cyclooxygenase 2–Nonsteroidal Antiinflammatory Drugs and Transcellular Processing. J. Exp. Med. Volume 192, Number 8, October 16, 2000 1197–1204.
- Serhan CH, Hong S, Gronert K, Colgan SP, Devchand PR, Mirick G, Moussignac RL. Resolvins: A Family of Bioactive Products of Omega-3 Fatty Acid Transformation Circuits Initiated by Aspirin Treatment that Counter Proinflammation Signals. J. Exp. Med. Volume 196, Number 8, October 21, 2002, 1025–1037.
- Bannenberg GL, Chiang N, Ariel A, Arita M, Tjonahen E, Gotlinger KH, Hong S, Serhan CH. Molecular circuits of resolution: formation and actions of resolvins and protectins. J Immunol 2005 Apr 1;174(7):4345-55. [CrossRef]
- Spite M, Norling LV, Summers L, Yang R, Cooper D, Petasis NA, Flower RJ, Perretti M, Serhan CH. Resolvin D2 is a potent regulator of leukocytes and controls microbial sepsis. Nature. 2009 October 29; 461(7268): 1287–1291. [CrossRef]
- Chiang N, Fredman G, Bäckhed F, Oh SF, Vickery T, Schmidt BA, Serhan CN. Infection Regulates Pro-Resolving Mediators that Lower Antibiotic Requirements. Nature: 484(7395): 524–528. [CrossRef]
- Elajami, TK, Colas RA, Dalli J, Chiang N, Serhan CN, Welty FK. Specialized pro-resolving lipid mediators in patients with coronary artery disease and their potential for clot remodeling. FASEB J. 2016; 30: 2792-2801. [CrossRef]
- Souza PR, Marques RM, Gomez EA, et al. Enriched marine oil supplements increase peripheral blood specialized pro-resolving mediators concentrations and reprogram host immune responses: a randomized double-blind placebo-controlled study. Circ Res. 2020;126(1):75–90.
- Colas RA, Shinohara M, Dalli J, Chiang N, Serhan CN. Identification and signature profiles for pro-resolving and inflammatory mediators in human tissue. Am J Physiol Cell Physiol 2014; 307(1): C9-C57. [CrossRef]
- English JT, Norris PC, Hodges RR, Dartt DA, Serhan CN. Identifying and profiling specialized pro-resolving mediators in Human Tears by Lipid Mediator Metabolomics. Prostaglandins Leukot Essent Fatty Acids 2017 Feb; 117:17-27. [CrossRef]
- Dalli J, Colas RA, Walker ME, Serhan CN. Lipid Mediator Metabolomics Via LC-MS/MS Profiling and Analysis. Editor. Martin Giera. Clinical Metabolomics pp 59-72. 2018. [CrossRef]
- Chen G, Wu D, Guo W, Cao Y, Huang D, Wang H, Wang T, Zhang X, Chen H, Yu H, Zhang X, Zhang M, Wu S, Song J, Chen T, Han M, Li S, Luo X, Zhao J, Ning Q. Clinical and immunologic features in severe and moderate coronavirus disease 2019. J Clin Invest. 2020 May 01;130(5):2620-2629. [CrossRef]
- Regidor PA, De La Rosa X, Santos FG, Rizo JM, Gracia Banzo R, Silva RS. Acute severe SARS-COVID-19 patients produce pro-resolving lipids mediators and eicosanoids. Europe Review Med and Pharmacol Sciences. 2021; 25: 6782-6796.
- Tang N, Li D, Wang X, Sun Z. Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. J Thromb Haemost. 2020 Apr; 18(4): 844–847. [CrossRef]
- Thachil J, Tang N, Gando S, Falanga A, Cattaneo M, Levi M, Clark C, Iba T. ISTH interim guidance on recognizing and managing coagulopathy in COVID-19. J Thromb Haemost. 2020 May;18(5):1023-1026. [CrossRef]
- Taylor FB Jr, Toh CH, Hoots WK, Wada H, Levi M. Towards definition, clinical and laboratory criteria, and a scoring system for disseminated intravascular coagulation. Thromb Haemost. 2001; 86(5): 1327-1330.
- Nicolai L, Leunig A, Brambs S, Kaiser R, Weinberger T, Weigand M, Muenchhoff M, Hellmuth JC, Ledderose S, Schulz H, Scherer C, Rudelius M, Zoller M, Höchter D, Keppler O, Teupser D, Zwißler B, Bergwelt-Baildon M, Kääb S, Massberg S, Pekayvaz K, Stark K. Immunothrombotic Dysregulation in COVID-19 Pneumonia is Associated with Respiratory Failure and Coagulopathy. Circulation. 2020; 142: 1176–1189. [CrossRef]
- Cherpokova D, Jouvene CC, Libreros S, DeRoo EP, Chu L, de la Rosa X, Norris PC, Wagner DD, Serhan CN. Resolvin D4 attenuates the severity of pathological thrombosis in mice. Blood. 2019 Oct 24;134(17):1458-1468. [CrossRef]











|
Changes between week 12 and baseline Number and % of patients that have experienced changes in mMRC score: -2, -1, 0 or 1 | |||||
| Treatment | -2 | -1 | 0 | 1 | Total |
| A | 0 (0) | 5 (33.33) | 10 (66.67) | 0 (0) | 15 (100) |
| B | 2 (12.5) | 6 (37.5) | 7 (43.75) | 1 (6.25) | 16 (100) |
| C | 0 (0) | 2 (50) | 2 (50) | 0 (0) | 4 (100) |
| X | 3 (18.75) | 8 (50) | 5 (31.25) | 0 (0) | 16 (100) |
| Data are displayed as N (%). Chi-square: X-squared = 8.2496, df = 9, p-value = 0.509 | |||||
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).