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A Home-Treatment Algorithm Based on Anti-inflammatory Drugs to Prevent Hospitalization of Patients With Early COVID-19: A Matched-Cohort Study (COVER 2)

BACKGROUND AND AIM: While considerable success has been achieved in the management of patients hospitalized with severe coronavirus disease 2019 (COVID-19), far less progress has been made with early outpatient treatment. We assessed whether the implementation of a home treatment algorithm—designed...

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Autores principales: Consolaro, Elena, Suter, Fredy, Rubis, Nadia, Pedroni, Stefania, Moroni, Chiara, Pastò, Elena, Paganini, Maria Vittoria, Pravettoni, Grazia, Cantarelli, Umberto, Perico, Norberto, Perna, Annalisa, Peracchi, Tobia, Ruggenenti, Piero, Remuzzi, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073076/
https://www.ncbi.nlm.nih.gov/pubmed/35530041
http://dx.doi.org/10.3389/fmed.2022.785785
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author Consolaro, Elena
Suter, Fredy
Rubis, Nadia
Pedroni, Stefania
Moroni, Chiara
Pastò, Elena
Paganini, Maria Vittoria
Pravettoni, Grazia
Cantarelli, Umberto
Perico, Norberto
Perna, Annalisa
Peracchi, Tobia
Ruggenenti, Piero
Remuzzi, Giuseppe
author_facet Consolaro, Elena
Suter, Fredy
Rubis, Nadia
Pedroni, Stefania
Moroni, Chiara
Pastò, Elena
Paganini, Maria Vittoria
Pravettoni, Grazia
Cantarelli, Umberto
Perico, Norberto
Perna, Annalisa
Peracchi, Tobia
Ruggenenti, Piero
Remuzzi, Giuseppe
author_sort Consolaro, Elena
collection PubMed
description BACKGROUND AND AIM: While considerable success has been achieved in the management of patients hospitalized with severe coronavirus disease 2019 (COVID-19), far less progress has been made with early outpatient treatment. We assessed whether the implementation of a home treatment algorithm—designed based on a pathophysiologic and pharmacologic rationale—and including non-steroidal anti-inflammatory drugs, especially relatively selective cyclooxygenase-2 inhibitors and, when needed, corticosteroids, anticoagulants, oxygen therapy and antibiotics—at the very onset of mild COVID-19 symptoms could effectively reduce hospital admissions. METHODS: This fully academic, matched-cohort study evaluated outcomes in 108 consecutive consenting patients with mild COVID-19, managed at home by their family doctors between January 2021 and May 2021, according to the proposed treatment algorithm and in 108 age-, sex-, and comorbidities-matched patients on other therapeutic schedules (ClinicalTrials.gov: NCT04854824). The primary outcome was COVID-19-related hospitalization. Analyses were by intention-to-treat. RESULTS: One (0.9%) patient in the “recommended” cohort and 12 (11.1%) in the “control” cohort were admitted to hospital (P = 0.0136). The proposed algorithm reduced the cumulative length of hospital stays by 85% (from 141 to 19 days) as well as related costs (from €60.316 to €9.058). Only 9.8 patients needed to be treated with the recommended algorithm to prevent one hospitalization event. The rate of resolution of major symptoms was numerically—but not significantly—higher in the “recommended” than in the “control” cohort (97.2 vs. 93.5%, respectively; P = 0.322). Other symptoms lingered in a smaller proportion of patients in the “recommended” than in the “control” cohort (20.4 vs. 63.9%, respectively; P < 0.001), and for a shorter period. CONCLUSION: The adoption of the proposed outpatient treatment algorithm during the early, mild phase of COVID-19 reduced the incidence of subsequent hospitalization and related costs.
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spelling pubmed-90730762022-05-07 A Home-Treatment Algorithm Based on Anti-inflammatory Drugs to Prevent Hospitalization of Patients With Early COVID-19: A Matched-Cohort Study (COVER 2) Consolaro, Elena Suter, Fredy Rubis, Nadia Pedroni, Stefania Moroni, Chiara Pastò, Elena Paganini, Maria Vittoria Pravettoni, Grazia Cantarelli, Umberto Perico, Norberto Perna, Annalisa Peracchi, Tobia Ruggenenti, Piero Remuzzi, Giuseppe Front Med (Lausanne) Medicine BACKGROUND AND AIM: While considerable success has been achieved in the management of patients hospitalized with severe coronavirus disease 2019 (COVID-19), far less progress has been made with early outpatient treatment. We assessed whether the implementation of a home treatment algorithm—designed based on a pathophysiologic and pharmacologic rationale—and including non-steroidal anti-inflammatory drugs, especially relatively selective cyclooxygenase-2 inhibitors and, when needed, corticosteroids, anticoagulants, oxygen therapy and antibiotics—at the very onset of mild COVID-19 symptoms could effectively reduce hospital admissions. METHODS: This fully academic, matched-cohort study evaluated outcomes in 108 consecutive consenting patients with mild COVID-19, managed at home by their family doctors between January 2021 and May 2021, according to the proposed treatment algorithm and in 108 age-, sex-, and comorbidities-matched patients on other therapeutic schedules (ClinicalTrials.gov: NCT04854824). The primary outcome was COVID-19-related hospitalization. Analyses were by intention-to-treat. RESULTS: One (0.9%) patient in the “recommended” cohort and 12 (11.1%) in the “control” cohort were admitted to hospital (P = 0.0136). The proposed algorithm reduced the cumulative length of hospital stays by 85% (from 141 to 19 days) as well as related costs (from €60.316 to €9.058). Only 9.8 patients needed to be treated with the recommended algorithm to prevent one hospitalization event. The rate of resolution of major symptoms was numerically—but not significantly—higher in the “recommended” than in the “control” cohort (97.2 vs. 93.5%, respectively; P = 0.322). Other symptoms lingered in a smaller proportion of patients in the “recommended” than in the “control” cohort (20.4 vs. 63.9%, respectively; P < 0.001), and for a shorter period. CONCLUSION: The adoption of the proposed outpatient treatment algorithm during the early, mild phase of COVID-19 reduced the incidence of subsequent hospitalization and related costs. Frontiers Media S.A. 2022-04-22 /pmc/articles/PMC9073076/ /pubmed/35530041 http://dx.doi.org/10.3389/fmed.2022.785785 Text en Copyright © 2022 Consolaro, Suter, Rubis, Pedroni, Moroni, Pastò, Paganini, Pravettoni, Cantarelli, Perico, Perna, Peracchi, Ruggenenti and Remuzzi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Consolaro, Elena
Suter, Fredy
Rubis, Nadia
Pedroni, Stefania
Moroni, Chiara
Pastò, Elena
Paganini, Maria Vittoria
Pravettoni, Grazia
Cantarelli, Umberto
Perico, Norberto
Perna, Annalisa
Peracchi, Tobia
Ruggenenti, Piero
Remuzzi, Giuseppe
A Home-Treatment Algorithm Based on Anti-inflammatory Drugs to Prevent Hospitalization of Patients With Early COVID-19: A Matched-Cohort Study (COVER 2)
title A Home-Treatment Algorithm Based on Anti-inflammatory Drugs to Prevent Hospitalization of Patients With Early COVID-19: A Matched-Cohort Study (COVER 2)
title_full A Home-Treatment Algorithm Based on Anti-inflammatory Drugs to Prevent Hospitalization of Patients With Early COVID-19: A Matched-Cohort Study (COVER 2)
title_fullStr A Home-Treatment Algorithm Based on Anti-inflammatory Drugs to Prevent Hospitalization of Patients With Early COVID-19: A Matched-Cohort Study (COVER 2)
title_full_unstemmed A Home-Treatment Algorithm Based on Anti-inflammatory Drugs to Prevent Hospitalization of Patients With Early COVID-19: A Matched-Cohort Study (COVER 2)
title_short A Home-Treatment Algorithm Based on Anti-inflammatory Drugs to Prevent Hospitalization of Patients With Early COVID-19: A Matched-Cohort Study (COVER 2)
title_sort home-treatment algorithm based on anti-inflammatory drugs to prevent hospitalization of patients with early covid-19: a matched-cohort study (cover 2)
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073076/
https://www.ncbi.nlm.nih.gov/pubmed/35530041
http://dx.doi.org/10.3389/fmed.2022.785785
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