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Lopinavir-ritonavir and hydroxychloroquine for critically ill patients with COVID-19: REMAP-CAP randomized controlled trial.


ABSTRACT:

Purpose

To study the efficacy of lopinavir-ritonavir and hydroxychloroquine in critically ill patients with coronavirus disease 2019 (COVID-19).

Methods

Critically ill adults with COVID-19 were randomized to receive lopinavir-ritonavir, hydroxychloroquine, combination therapy of lopinavir-ritonavir and hydroxychloroquine or no antiviral therapy (control). The primary endpoint was an ordinal scale of organ support-free days. Analyses used a Bayesian cumulative logistic model and expressed treatment effects as an adjusted odds ratio (OR) where an OR > 1 is favorable.

Results

We randomized 694 patients to receive lopinavir-ritonavir (n = 255), hydroxychloroquine (n = 50), combination therapy (n = 27) or control (n = 362). The median organ support-free days among patients in lopinavir-ritonavir, hydroxychloroquine, and combination therapy groups was 4 (- 1 to 15), 0 (- 1 to 9) and-1 (- 1 to 7), respectively, compared to 6 (- 1 to 16) in the control group with in-hospital mortality of 88/249 (35%), 17/49 (35%), 13/26 (50%), respectively, compared to 106/353 (30%) in the control group. The three interventions decreased organ support-free days compared to control (OR [95% credible interval]: 0.73 [0.55, 0.99], 0.57 [0.35, 0.83] 0.41 [0.24, 0.72]), yielding posterior probabilities that reached the threshold futility (≥ 99.0%), and high probabilities of harm (98.0%, 99.9% and > 99.9%, respectively). The three interventions reduced hospital survival compared with control (OR [95% CrI]: 0.65 [0.45, 0.95], 0.56 [0.30, 0.89], and 0.36 [0.17, 0.73]), yielding high probabilities of harm (98.5% and 99.4% and 99.8%, respectively).

Conclusion

Among critically ill patients with COVID-19, lopinavir-ritonavir, hydroxychloroquine, or combination therapy worsened outcomes compared to no antiviral therapy.

SUBMITTER: Arabi YM 

PROVIDER: S-EPMC8274471 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Publications

Lopinavir-ritonavir and hydroxychloroquine for critically ill patients with COVID-19: REMAP-CAP randomized controlled trial.

Arabi Yaseen M YM   Gordon Anthony C AC   Derde Lennie P G LPG   Nichol Alistair D AD   Murthy Srinivas S   Beidh Farah Al FA   Annane Djillali D   Swaidan Lolowa Al LA   Beane Abi A   Beasley Richard R   Berry Lindsay R LR   Bhimani Zahra Z   Bonten Marc J M MJM   Bradbury Charlotte A CA   Brunkhorst Frank M FM   Buxton Meredith M   Buzgau Adrian A   Cheng Allen A   De Jong Menno M   Detry Michelle A MA   Duffy Eamon J EJ   Estcourt Lise J LJ   Fitzgerald Mark M   Fowler Rob R   Girard Timothy D TD   Goligher Ewan C EC   Goossens Herman H   Haniffa Rashan R   Higgins Alisa M AM   Hills Thomas E TE   Horvat Christopher M CM   Huang David T DT   King Andrew J AJ   Lamontagne Francois F   Lawler Patrick R PR   Lewis Roger R   Linstrum Kelsey K   Litton Edward E   Lorenzi Elizabeth E   Malakouti Salim S   McAuley Daniel F DF   McGlothlin Anna A   Mcguinness Shay S   McVerry Bryan J BJ   Montgomery Stephanie K SK   Morpeth Susan C SC   Mouncey Paul R PR   Orr Katrina K   Parke Rachael R   Parker Jane C JC   Patanwala Asad E AE   Rowan Kathryn M KM   Santos Marlene S MS   Saunders Christina T CT   Seymour Christopher W CW   Shankar-Hari Manu M   Tong Steven Y C SYC   Turgeon Alexis F AF   Turner Anne M AM   Van de Veerdonk Frank Leo FL   Zarychanski Ryan R   Green Cameron C   Berry Scott S   Marshall John C JC   McArthur Colin C   Angus Derek C DC   Webb Steven A SA  

Intensive care medicine 20210712 8


<h4>Purpose</h4>To study the efficacy of lopinavir-ritonavir and hydroxychloroquine in critically ill patients with coronavirus disease 2019 (COVID-19).<h4>Methods</h4>Critically ill adults with COVID-19 were randomized to receive lopinavir-ritonavir, hydroxychloroquine, combination therapy of lopinavir-ritonavir and hydroxychloroquine or no antiviral therapy (control). The primary endpoint was an ordinal scale of organ support-free days. Analyses used a Bayesian cumulative logistic model and ex  ...[more]

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