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Direct antivirals working against the novel coronavirus: azithromycin (DAWn-AZITHRO), a randomized, multicenter, open-label, adaptive, proof-of-concept clinical trial of new antivirals working against SARS-CoV-2-azithromycin trial.

Identifieur interne : 000565 ( Main/Exploration ); précédent : 000564; suivant : 000566

Direct antivirals working against the novel coronavirus: azithromycin (DAWn-AZITHRO), a randomized, multicenter, open-label, adaptive, proof-of-concept clinical trial of new antivirals working against SARS-CoV-2-azithromycin trial.

Auteurs : Iwein Gyselinck [Belgique] ; Laurens Liesenborghs [Belgique] ; Ewout Landeloos [Belgique] ; Ann Belmans [Belgique] ; Geert Verbeke [Belgique] ; Peter Verhamme [Belgique] ; Robin Vos [Belgique] ; W. Janssens [Belgique]

Source :

RBID : pubmed:33563325

Descripteurs français

English descriptors

Abstract

BACKGROUND

The rapid emergence and the high disease burden of the novel coronavirus SARS-CoV-2 have created a medical need for readily available drugs that can decrease viral replication or blunt the hyperinflammatory state leading to severe COVID-19 disease. Azithromycin is a macrolide antibiotic, known for its immunomodulatory properties. It has shown antiviral effect specifically against SARS-CoV-2 in vitro and acts on cytokine signaling pathways that have been implicated in COVID-19.

METHODS

DAWn-AZITHRO is a randomized, open-label, phase 2 proof-of-concept, multicenter clinical trial, evaluating the safety and efficacy of azithromycin for treating hospitalized patients with COVID-19. It is part of a series of trials testing promising interventions for COVID-19, running in parallel and grouped under the name DAWn-studies. Patients hospitalized on dedicated COVID wards are eligible for study inclusion when they are symptomatic (i.e., clinical or radiological signs) and have been diagnosed with COVID-19 within the last 72 h through PCR (nasopharyngeal swab or bronchoalveolar lavage) or chest CT scan showing typical features of COVID-19 and without alternate diagnosis. Patients are block-randomized (9 patients) with a 2:1 allocation to receive azithromycin plus standard of care versus standard of care alone. Standard of care is mostly supportive, but may comprise hydroxychloroquine, up to the treating physician's discretion and depending on local policy and national health regulations. The treatment group receives azithromycin qd 500 mg during the first 5 consecutive days after inclusion. The trial will include 284 patients and recruits from 15 centers across Belgium. The primary outcome is time from admission (day 0) to life discharge or to sustained clinical improvement, defined as an improvement of two points on the WHO 7-category ordinal scale sustained for at least 3 days.

DISCUSSION

The trial investigates the urgent and still unmet global need for drugs that may impact the disease course of COVID-19. It will either provide support or else justify the discouragement of the current widespread, uncontrolled use of azithromycin in patients with COVID-19. The analogous design of other parallel trials of the DAWN consortium will amplify the chance of identifying successful treatment strategies and allow comparison of treatment effects within an identical clinical context.

TRIAL REGISTRATION

EU Clinical trials register EudraCT Nb 2020-001614-38 . Registered on 22 April 2020.


DOI: 10.1186/s13063-021-05033-x
PubMed: 33563325
PubMed Central: PMC7871018


Affiliations:


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Le document en format XML

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<b>BACKGROUND</b>
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<p>The rapid emergence and the high disease burden of the novel coronavirus SARS-CoV-2 have created a medical need for readily available drugs that can decrease viral replication or blunt the hyperinflammatory state leading to severe COVID-19 disease. Azithromycin is a macrolide antibiotic, known for its immunomodulatory properties. It has shown antiviral effect specifically against SARS-CoV-2 in vitro and acts on cytokine signaling pathways that have been implicated in COVID-19.</p>
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<b>METHODS</b>
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<p>DAWn-AZITHRO is a randomized, open-label, phase 2 proof-of-concept, multicenter clinical trial, evaluating the safety and efficacy of azithromycin for treating hospitalized patients with COVID-19. It is part of a series of trials testing promising interventions for COVID-19, running in parallel and grouped under the name DAWn-studies. Patients hospitalized on dedicated COVID wards are eligible for study inclusion when they are symptomatic (i.e., clinical or radiological signs) and have been diagnosed with COVID-19 within the last 72 h through PCR (nasopharyngeal swab or bronchoalveolar lavage) or chest CT scan showing typical features of COVID-19 and without alternate diagnosis. Patients are block-randomized (9 patients) with a 2:1 allocation to receive azithromycin plus standard of care versus standard of care alone. Standard of care is mostly supportive, but may comprise hydroxychloroquine, up to the treating physician's discretion and depending on local policy and national health regulations. The treatment group receives azithromycin qd 500 mg during the first 5 consecutive days after inclusion. The trial will include 284 patients and recruits from 15 centers across Belgium. The primary outcome is time from admission (day 0) to life discharge or to sustained clinical improvement, defined as an improvement of two points on the WHO 7-category ordinal scale sustained for at least 3 days.</p>
</div>
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<p>
<b>DISCUSSION</b>
</p>
<p>The trial investigates the urgent and still unmet global need for drugs that may impact the disease course of COVID-19. It will either provide support or else justify the discouragement of the current widespread, uncontrolled use of azithromycin in patients with COVID-19. The analogous design of other parallel trials of the DAWN consortium will amplify the chance of identifying successful treatment strategies and allow comparison of treatment effects within an identical clinical context.</p>
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<p>
<b>TRIAL REGISTRATION</b>
</p>
<p>EU Clinical trials register EudraCT Nb 2020-001614-38 . Registered on 22 April 2020.</p>
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<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The rapid emergence and the high disease burden of the novel coronavirus SARS-CoV-2 have created a medical need for readily available drugs that can decrease viral replication or blunt the hyperinflammatory state leading to severe COVID-19 disease. Azithromycin is a macrolide antibiotic, known for its immunomodulatory properties. It has shown antiviral effect specifically against SARS-CoV-2 in vitro and acts on cytokine signaling pathways that have been implicated in COVID-19.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">DAWn-AZITHRO is a randomized, open-label, phase 2 proof-of-concept, multicenter clinical trial, evaluating the safety and efficacy of azithromycin for treating hospitalized patients with COVID-19. It is part of a series of trials testing promising interventions for COVID-19, running in parallel and grouped under the name DAWn-studies. Patients hospitalized on dedicated COVID wards are eligible for study inclusion when they are symptomatic (i.e., clinical or radiological signs) and have been diagnosed with COVID-19 within the last 72 h through PCR (nasopharyngeal swab or bronchoalveolar lavage) or chest CT scan showing typical features of COVID-19 and without alternate diagnosis. Patients are block-randomized (9 patients) with a 2:1 allocation to receive azithromycin plus standard of care versus standard of care alone. Standard of care is mostly supportive, but may comprise hydroxychloroquine, up to the treating physician's discretion and depending on local policy and national health regulations. The treatment group receives azithromycin qd 500 mg during the first 5 consecutive days after inclusion. The trial will include 284 patients and recruits from 15 centers across Belgium. The primary outcome is time from admission (day 0) to life discharge or to sustained clinical improvement, defined as an improvement of two points on the WHO 7-category ordinal scale sustained for at least 3 days.</AbstractText>
<AbstractText Label="DISCUSSION" NlmCategory="CONCLUSIONS">The trial investigates the urgent and still unmet global need for drugs that may impact the disease course of COVID-19. It will either provide support or else justify the discouragement of the current widespread, uncontrolled use of azithromycin in patients with COVID-19. The analogous design of other parallel trials of the DAWN consortium will amplify the chance of identifying successful treatment strategies and allow comparison of treatment effects within an identical clinical context.</AbstractText>
<AbstractText Label="TRIAL REGISTRATION" NlmCategory="BACKGROUND">EU Clinical trials register EudraCT Nb 2020-001614-38 . Registered on 22 April 2020.</AbstractText>
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<ArticleIdList>
<ArticleId IdType="pubmed">33563325</ArticleId>
<ArticleId IdType="doi">10.1186/s13063-021-05033-x</ArticleId>
<ArticleId IdType="pii">10.1186/s13063-021-05033-x</ArticleId>
<ArticleId IdType="pmc">PMC7871018</ArticleId>
</ArticleIdList>
<ReferenceList>
<Reference>
<Citation>Liu Y, Yan L, Wan L, Xiang T, Le A, Liu J, et al. Viral dynamics in mild and severe cases of COVID-19. Lancet Infect Dis. 2020;20(June):656–7.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1016/S1473-3099(20)30232-2</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Mehta P, McAuley DF, Brown M, Sanchez E, Tattersall RS, Manson JJ. COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet. 2020;395:1033–4 Lancet Publishing Group.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1016/S0140-6736(20)30628-0</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>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;18(4):844-47.  https://doi.org/10.1111/jth.14768 .</Citation>
</Reference>
<Reference>
<Citation>Ye Q, Wang B, Mao J. The pathogenesis and treatment of the ‘ cytokine storm ’ in COVID-19. J Inf Secur. 2020;80:607–13.</Citation>
</Reference>
<Reference>
<Citation>Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497–506.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1016/S0140-6736(20)30183-5</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Hoffmann M, Kleine-Weber H, Schroeder S, Krüger N, Herrler T, Erichsen S, et al. SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor. Cell. 2020;181(2):271–280.e8 Available from: https://pubmed.ncbi.nlm.nih.gov/32142651 .</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1016/j.cell.2020.02.052</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Cheng H, Wang Y, Wang GQ. Organ-protective effect of angiotensin-converting enzyme 2 and its effect on the prognosis of COVID-19; 2020. p. 726–30.</Citation>
</Reference>
<Reference>
<Citation>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. J Thromb Haemost. 2020;18(5):1094–9. https://doi.org/10.1111/jth.14817 .</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1111/jth.14817</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Ackermann M, Verleden S, Kuehnel M, Haverich A, Welte T, Laenger F, et al. Pulmonary vascular Endothelialitis, thrombosis, and angiogenesis in Covid-19. N Engl J Med. 2020.</Citation>
</Reference>
<Reference>
<Citation>Bakheit AHH, Al-Hadiya BMH, Abd-Elgalil AA. Azithromycin. In: Profiles of drug substances, excipients and related methodology, vol. 39. 1st ed; 2014. p. 1–40.</Citation>
</Reference>
<Reference>
<Citation>Zarogoulidis P, Papanas N, Kioumis I, Chatzaki E, Maltezos E, Zarogoulidis K. Macrolides: from in vitro anti-inflammatory and immunomodulatory properties to clinical practice in respiratory diseases. Eur J Clin Pharmacol. 2012;68(5):479–503.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1007/s00228-011-1161-x</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Kawamura K, Ichikado K, Takaki M, Sakata Y, Yasuda Y, Shingu N, et al. Efficacy of azithromycin in sepsis-associated acute respiratory distress syndrome: a retrospective study and propensity score analysis. Springerplus. 2016 [cited 2020 Dec 4];5(1):1–7. https://doi.org/10.1186/s40064-016-2866-1 .</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1186/s40064-016-2866-1</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Menzel M, Akbarshahi H, Bjermer L, Uller L. Azithromycin induces anti-viral effects in cultured bronchial epithelial cells from COPD patients. Sci Rep. 2016;6(June):1–11.</Citation>
</Reference>
<Reference>
<Citation>Gielen V, Johnston SL, Edwards MR. Azithromycin induces anti-viral responses in bronchial epithelial cells. Eur Respir J. 2010;36(3):646–54.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1183/09031936.00095809</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Min JY, Jang YJ. Macrolide therapy in respiratory viral infections. Mediat Inflamm. 2012;2012:1–9.</Citation>
</Reference>
<Reference>
<Citation>Porter JD, Watson J, Roberts LR, Gill SK, Groves H, Dhariwal J, et al. Identification of novel macrolides with antibacterial, anti-inflammatory and type I and III IFN-augmenting activity in airway epithelium. J Antimicrob Chemother. 2016;71(10):2767–81.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1093/jac/dkw222</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Li C, Zu S, Deng YQ, Li D, Parvatiyar K, Quanquin N, et al. Azithromycin protects against Zika virus infection by upregulating virus-induced type I and III interferon responses. Antimicrob Agents Chemother. 2019;63(12)1–14.</Citation>
</Reference>
<Reference>
<Citation>Madrid PB, Panchal RG, Warren TK, Shurtleff AC, Endsley AN, Green CE, et al. Evaluation of Ebola virus inhibitors for drug repurposing. ACS Infect Dis. 2016;1(7):317–26.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1021/acsinfecdis.5b00030</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Touret F, Gilles M, Barral K, Nougairède A, van Helden J, Decroly E, et al. In vitro screening of a FDA approved chemical library reveals potential inhibitors of SARS-CoV-2 replication. Sci Rep. 2020;10(1):1–8.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1038/s41598-020-70143-6</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>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, 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, 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;382(19):1787-99. https://doi.org/10.1056/NEJMoa2001282 .</Citation>
</Reference>
<Reference>
<Citation>Kahan BC, Jairath V, Doré CJ, Morris TP. The risks and rewards of covariate adjustment in randomized trials: an assessment of 12 outcomes from 8 studies. Trials. 2014;15(1):1–7.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1186/1745-6215-15-1</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Rubin DB. Multiple imputation for nonresponse in surveys [Internet]. In: Rubin DB, editor. Wiley Series in Probability and Statistics. Hoboken: Wiley; 1987 [cited 2020 Dec 4]. https://doi.org/10.1002/9780470316696 .</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1002/9780470316696</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395(10229):1054–62.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1016/S0140-6736(20)30566-3</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Guo D, Cai Y, Chai D, Liang B, Bai N, Wang R. The cardiotoxicity of macrolides: a systematic review. Pharmazie. 2010;65(9):631–40.</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">21038838</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Rubinstein E. Comparative safety of the different macrolides. Int J Antimicrob Agents. 2001;18(18):71–6.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1016/S0924-8579(01)00397-1</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Zimmermann P, Ziesenitz VC, Curtis N, Ritz N. The immunomodulatory effects of macrolides-a systematic review of the underlying mechanisms. Front Immunol. 2018;9(302):1–14.  Available from: https://pubmed.ncbi.nlm.nih.gov/29593707 .</Citation>
</Reference>
<Reference>
<Citation>Di Paolo A, Barbara C, Chella A, Angeletti CA, Del Tacca M. Pharmacokinetics of azithromycin in lung tissue, bronchial washing, and plasma in patients given multiple oral doses of 500 and 1000 mg daily. Pharmacol Res. 2002;46(6):545–50.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1016/S1043661802002384</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Danesi R, Lupetti A, Barbara C, Ghelardi E, Chella A, Malizia T, et al. Comparative distribution of azithromycin in lung tissue of patients given oral daily doses of 500 and 1000 mg. J Antimicrob Chemother. 2003;51(4):939–45.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1093/jac/dkg138</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Metlay JP, Waterer GW, Long AC, Anzueto A, Brozek J, Crothers K, et al. Diagnosis and treatment of adults with community-acquired pneumonia. Am J Respir Crit Care Med. 2019;200(7):E45–67.</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1164/rccm.201908-1581ST</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Kim HC, Kang SH. Total synthesis of azithromycin. Angew Chem Int Ed. 2009 [cited 2020 Dec 4];48(10):1827–9. https://doi.org/10.1002/anie.200805334 .</Citation>
<ArticleIdList>
<ArticleId IdType="doi">10.1002/anie.200805334</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
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<name sortKey="Liesenborghs, Laurens" sort="Liesenborghs, Laurens" uniqKey="Liesenborghs L" first="Laurens" last="Liesenborghs">Laurens Liesenborghs</name>
<name sortKey="Verbeke, Geert" sort="Verbeke, Geert" uniqKey="Verbeke G" first="Geert" last="Verbeke">Geert Verbeke</name>
<name sortKey="Verhamme, Peter" sort="Verhamme, Peter" uniqKey="Verhamme P" first="Peter" last="Verhamme">Peter Verhamme</name>
<name sortKey="Vos, Robin" sort="Vos, Robin" uniqKey="Vos R" first="Robin" last="Vos">Robin Vos</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidChloroV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000565 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000565 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    CovidChloroV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:33563325
   |texte=   Direct antivirals working against the novel coronavirus: azithromycin (DAWn-AZITHRO), a randomized, multicenter, open-label, adaptive, proof-of-concept clinical trial of new antivirals working against SARS-CoV-2-azithromycin trial.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:33563325" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidChloroV1 

Wicri

This area was generated with Dilib version V0.6.38.
Data generation: Sat May 22 17:02:32 2021. Site generation: Sat May 22 17:06:52 2021