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		<title>Paediactrics &#8211; training module &#8211; Immune modulation</title>
		<link>https://remapcap.co.uk/paediactrics-training-module-immune-modulation/</link>
					<comments>https://remapcap.co.uk/paediactrics-training-module-immune-modulation/#respond</comments>
		
		<dc:creator><![CDATA[Kristof Vanmunster]]></dc:creator>
		<pubDate>Tue, 01 Oct 2024 21:37:09 +0000</pubDate>
				<category><![CDATA[Uncategorized]]></category>
		<guid isPermaLink="false">https://remapcap.co.uk/?p=2844</guid>

					<description><![CDATA[Immune Modulation Please read the following materials in order to complete the training module. Finish by clicking the confirmation button on the main training modules page. Forward the email confirmation you get to ukremap-cap@icnarc.org Influenza Immune Modulation Domain Slide Deck V1 N. Immune Modulation DSA V1.0 REMAP CAP Influenza IM Domain Administration Guide V1 20231026 [&#8230;]]]></description>
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					<h2 class="elementor-heading-title elementor-size-default">Immune Modulation</h2>				</div>
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									<p>Please read the following materials in order to complete the training module. <br />Finish by clicking the confirmation button on the main training modules page. <br />Forward the email confirmation you get to ukremap-cap@icnarc.org</p>								</div>
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					<a class="elementor-button elementor-button-link elementor-size-sm" href="https://remapcap.co.uk/wp-content/uploads/2024/02/Influenza-Immune-Modulation-Domain-Slide-Deck-V1.pptx">
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									<span class="elementor-button-text">Influenza Immune Modulation Domain Slide Deck V1</span>
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					<a class="elementor-button elementor-button-link elementor-size-sm" href="https://remapcap.co.uk/wp-content/uploads/2024/03/N.-Immune-Modulation-DSA-V1.0-1.pdf">
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									<span class="elementor-button-text">N. Immune Modulation DSA V1.0</span>
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									<span class="elementor-button-text">REMAP CAP Influenza IM Domain Administration Guide V1 20231026</span>
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									<span class="elementor-button-text">Training Log Immune Modulation V1.0</span>
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		]]></content:encoded>
					
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			</item>
		<item>
		<title>Simvastatin in Critically Ill Patients with Covid-19</title>
		<link>https://remapcap.co.uk/simvastatin-in-critically-ill-patients-with-covid-19/</link>
					<comments>https://remapcap.co.uk/simvastatin-in-critically-ill-patients-with-covid-19/#respond</comments>
		
		<dc:creator><![CDATA[Elizabeth]]></dc:creator>
		<pubDate>Tue, 28 Nov 2023 16:54:39 +0000</pubDate>
				<category><![CDATA[Otherpublications]]></category>
		<guid isPermaLink="false">https://remapcap.co.uk/?p=1795</guid>

					<description><![CDATA[Simvastatin, a widely available and inexpensive drug that is included on the WHO list of essential medicines, was shown to have a high probability (96%) of improving outcomes (a combination of survival and length of time patients need support in an intensive care unit) when started as a treatment for critically ill patients with COVID-19, and a 92% chance of improving survival at 3 months. This equates to one life saved for every 33 patients treated with simvastatin. 2,684 critically ill patients were included at 141 hospitals across 13 countries.]]></description>
										<content:encoded><![CDATA[<p><strong>BACKGROUND<br /></strong>The efficacy of simvastatin in critically ill patients with coronavirus disease 2019 (Covid-19) is unclear.</p>
<p><strong>METHODS</strong><br />In an ongoing international, multifactorial, adaptive platform, randomized, controlled trial, we evaluated simvastatin (80 mg daily) as compared with no statin (control) in critically ill patients with Covid-19 who were not receiving statins at baseline. The primary outcome was respiratory and cardiovascular organ support–free days, assessed on an ordinal scale combining in-hospital death (assigned a value of −1) and days free of organ support through day 21 in survivors; the analyis used a Bayesian hierarchical ordinal model. The adaptive design included prespecified statistical stopping criteria for superiority (&gt;99% posterior probability that the odds ratio was &gt;1) and futility (&gt;95% posterior probability that the odds ratio was &lt;1.2).</p>
<p><strong>RESULTS</strong><br />Enrollment began on October 28, 2020. On January 8, 2023, enrollment was closed on the basis of a low anticipated likelihood that prespecified stopping criteria would be met as Covid-19 cases decreased. The final analysis included 2684 critically ill patients. The median number of organ support–free days was 11 (interquartile range, −1 to 17) in the simvastatin group and 7 (interquartile range, −1 to 16) in the control group; the posterior median adjusted odds ratio was 1.15 (95% credible interval, 0.98 to 1.34) for simvastatin as compared with control, yielding a 95.9% posterior probability of superiority. At 90 days, the hazard ratio for survival was 1.12 (95% credible interval, 0.95 to 1.32), yielding a 91.9% posterior probability of superiority of simvastatin. The results of secondary analyses were consistent with those of the primary analysis. Serious adverse events, such as elevated levels of liver enzymes and creatine kinase, were reported more frequently with simvastatin than with control.</p>
<p><strong>C</strong><strong>ONCLUSIONS</strong><br />Although recruitment was stopped because cases had decreased, among critically ill patients with Covid-19, simvastatin did not meet the prespecified criteria for superiority to control.</p>
]]></content:encoded>
					
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			</item>
		<item>
		<title>Intravenous Vitamin C for Patients Hospitalized With COVID-19: Two Harmonized Randomized Clinical Trials</title>
		<link>https://remapcap.co.uk/intravenous-vitamin-c-for-patients-hospitalized-with-covid-19-two-harmonized-randomized-clinical-trials/</link>
					<comments>https://remapcap.co.uk/intravenous-vitamin-c-for-patients-hospitalized-with-covid-19-two-harmonized-randomized-clinical-trials/#respond</comments>
		
		<dc:creator><![CDATA[Elizabeth]]></dc:creator>
		<pubDate>Tue, 28 Nov 2023 16:44:10 +0000</pubDate>
				<category><![CDATA[Otherpublications]]></category>
		<guid isPermaLink="false">https://remapcap.co.uk/?p=1788</guid>

					<description><![CDATA[Vitamin C is widely available around the world and was used in some settings for the treatment of COVID-19. Through harmonising two clinical trials – REMAP-CAP and LOVIT-COVID – over 2,500 patients in 20 countries took part, including both critically ill and non-critically ill patients with COVID-19 in hospital. It was shown that high-dose vitamin C did not improve outcomes for patients. This is the largest trial examining high-dose vitamin C in COVID-19 and provides evidence that high-dose vitamin C is not beneficial and suggests a high probability that it may be harmful.]]></description>
										<content:encoded><![CDATA[
<p><strong>Importance</strong>&nbsp;&nbsp;<br>The efficacy of vitamin C for hospitalized patients with COVID-19 is uncertain.</p>



<p><strong>Objective</strong>&nbsp;&nbsp;<br>To determine whether vitamin C improves outcomes for patients with COVID-19.</p>



<p><strong>Design, Setting, and Participants</strong>&nbsp;&nbsp;<br>Two prospectively harmonized randomized clinical trials enrolled critically ill patients receiving organ support in intensive care units (90 sites) and patients who were not critically ill (40 sites) between July 23, 2020, and July 15, 2022, on 4 continents.</p>



<p><strong>Interventions</strong>&nbsp;&nbsp;<br>Patients were randomized to receive vitamin C administered intravenously or control (placebo or no vitamin C) every 6 hours for 96 hours (maximum of 16 doses).</p>



<p><strong>Main Outcomes and Measures</strong>&nbsp;&nbsp;<br>The primary outcome was a composite of organ support–free days defined as days alive and free of respiratory and cardiovascular organ support in the intensive care unit up to day 21 and survival to hospital discharge. Values ranged from –1 organ support–free days for patients experiencing in-hospital death to 22 organ support–free days for those who survived without needing organ support. The primary analysis used a bayesian cumulative logistic model. An odds ratio (OR) greater than 1 represented efficacy (improved survival, more organ support–free days, or both), an OR less than 1 represented harm, and an OR less than 1.2 represented futility.</p>



<p><strong>Results</strong>&nbsp;&nbsp;<br>Enrollment was terminated after statistical triggers for harm and futility were met. The trials had primary outcome data for 1568 critically ill patients (1037 in the vitamin C group and 531 in the control group; median age, 60 years [IQR, 50-70 years]; 35.9% were female) and 1022 patients who were not critically ill (456 in the vitamin C group and 566 in the control group; median age, 62 years [IQR, 51-72 years]; 39.6% were female). Among critically ill patients, the median number of organ support–free days was 7 (IQR, −1 to 17 days) for the vitamin C group vs 10 (IQR, −1 to 17 days) for the control group (adjusted proportional OR, 0.88 [95% credible interval {CrI}, 0.73 to 1.06]) and the posterior probabilities were 8.6% (efficacy), 91.4% (harm), and 99.9% (futility). Among patients who were not critically ill, the median number of organ support–free days was 22 (IQR, 18 to 22 days) for the vitamin C group vs 22 (IQR, 21 to 22 days) for the control group (adjusted proportional OR, 0.80 [95% CrI, 0.60 to 1.01]) and the posterior probabilities were 2.9% (efficacy), 97.1% (harm), and greater than 99.9% (futility). Among critically ill patients, survival to hospital discharge was 61.9% (642/1037) for the vitamin C group vs 64.6% (343/531) for the control group (adjusted OR, 0.92 [95% CrI, 0.73 to 1.17]) and the posterior probability was 24.0% for efficacy. Among patients who were not critically ill, survival to hospital discharge was 85.1% (388/456) for the vitamin C group vs 86.6% (490/566) for the control group (adjusted OR, 0.86 [95% CrI, 0.61 to 1.17]) and the posterior probability was 17.8% for efficacy.</p>



<p><strong>Conclusions and Relevance</strong>&nbsp;&nbsp;<br>In hospitalized patients with COVID-19, vitamin C had low probability of improving the primary composite outcome of organ support–free days and hospital survival.</p>
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			</item>
		<item>
		<title>Effect of Angiotensin-Converting Enzyme Inhibitor and Angiotensin Receptor Blocker Initiation on Organ Support–Free Days in Patients Hospitalized With COVID-19</title>
		<link>https://remapcap.co.uk/effect-of-angiotensin-converting-enzyme-inhibitor-and-angiotensin-receptor-blocker-initiation-on-organ-support-free-days-in-patients-hospitalized-with-covid-19/</link>
					<comments>https://remapcap.co.uk/effect-of-angiotensin-converting-enzyme-inhibitor-and-angiotensin-receptor-blocker-initiation-on-organ-support-free-days-in-patients-hospitalized-with-covid-19/#respond</comments>
		
		<dc:creator><![CDATA[Kristof Vanmunster]]></dc:creator>
		<pubDate>Mon, 02 Oct 2023 20:03:05 +0000</pubDate>
				<category><![CDATA[Otherpublications]]></category>
		<guid isPermaLink="false">https://remapcap.co.uk/?p=691</guid>

					<description><![CDATA[In this randomized clinical trial that included 779 patients, initiation of an ACE inhibitor or ARB did not improve organ support–free days. Among critically ill patients, there was a 95% probability that treatments worsened this outcome.

]]></description>
										<content:encoded><![CDATA[
<h2 class="wp-block-heading"><strong>Importance </strong></h2>



<p>Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19.</p>



<h2 class="wp-block-heading"><strong>Objective</strong> </h2>



<p>To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19.</p>



<h2 class="wp-block-heading"><strong>Design, setting and participants</strong> </h2>



<p>In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022).</p>



<h2 class="wp-block-heading"><strong>Interventions </strong></h2>



<p>Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. </p>



<h2 class="wp-block-heading"><strong>Main outcomes and measures</strong> </h2>



<p>The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes.</p>



<h2 class="wp-block-heading"><strong>Results</strong> </h2>



<p>On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively).</p>



<h2 class="wp-block-heading"><strong>Conclusions and relevance</strong> </h2>



<p>In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes.</p>
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		<item>
		<title>Long-term (180-Day) Outcomes in Critically Ill Patients With COVID-19 in the REMAP-CAP Randomized Clinical Trial</title>
		<link>https://remapcap.co.uk/long-term-180-day-outcomes-in-critically-ill-patients-with-covid-19-in-the-remap-cap-randomized-clinical-trial/</link>
		
		<dc:creator><![CDATA[Kristof Vanmunster]]></dc:creator>
		<pubDate>Mon, 02 Oct 2023 19:56:11 +0000</pubDate>
				<category><![CDATA[Otherpublications]]></category>
		<guid isPermaLink="false">https://remapcap.co.uk/?p=687</guid>

					<description><![CDATA[Among critically ill patients with COVID-19 randomized to receive one or more therapeutic interventions, treatment with an IL-6 receptor antagonist had a greater than 99.9% probability of improved 180-day mortality compared with the control group. Treatment with an antiplatelet had a 95.0% probability of improved 180-day mortality.

]]></description>
										<content:encoded><![CDATA[
<h2 class="wp-block-heading"><strong>Importance</strong> </h2>



<p>The longer-term effects of therapies for the treatment of critically ill patients with COVID-19 are unknown.</p>



<h2 class="wp-block-heading"><strong>Objective</strong> </h2>



<p>To determine the effect of multiple interventions for critically ill adults with COVID-19 on longer-term outcomes.</p>



<p>Design, Setting, and Participants&nbsp;Prespecified secondary analysis of an ongoing adaptive platform trial (REMAP-CAP) testing interventions within multiple therapeutic domains in which 4869 critically ill adult patients with COVID-19 were enrolled between March 9, 2020, and June 22, 2021, from 197 sites in 14 countries. The final 180-day follow-up was completed on March 2, 2022.</p>



<p>Interventions&nbsp;Patients were randomized to receive 1 or more interventions within 6 treatment domains: immune modulators (n = 2274), convalescent plasma (n = 2011), antiplatelet therapy (n = 1557), anticoagulation (n = 1033), antivirals (n = 726), and corticosteroids (n = 401).</p>



<p>Main outcomes and Measures&nbsp;The main outcome was survival through day 180, analyzed using a bayesian piecewise exponential model. A hazard ratio (HR) less than 1 represented improved survival (superiority), while an HR greater than 1 represented worsened survival (harm); futility was represented by a relative improvement less than 20% in outcome, shown by an HR greater than 0.83.</p>



<h2 class="wp-block-heading"><strong>Results</strong></h2>



<p>Among 4869 randomized patients (mean age, 59.3 years; 1537 [32.1%] women), 4107 (84.3%) had known vital status and 2590 (63.1%) were alive at day 180. IL-6 receptor antagonists had a greater than 99.9% probability of improving 6-month survival (adjusted HR, 0.74 [95% credible interval {CrI}, 0.61-0.90]) and antiplatelet agents had a 95% probability of improving 6-month survival (adjusted HR, 0.85 [95% CrI, 0.71-1.03]) compared with the control, while the probability of trial-defined statistical futility (HR >0.83) was high for therapeutic anticoagulation (99.9%; HR, 1.13 [95% CrI, 0.93-1.42]), convalescent plasma (99.2%; HR, 0.99 [95% CrI, 0.86-1.14]), and lopinavir-ritonavir (96.6%; HR, 1.06 [95% CrI, 0.82-1.38]) and the probabilities of harm from hydroxychloroquine (96.9%; HR, 1.51 [95% CrI, 0.98-2.29]) and the combination of lopinavir-ritonavir and hydroxychloroquine (96.8%; HR, 1.61 [95% CrI, 0.97-2.67]) were high. The corticosteroid domain was stopped early prior to reaching a predefined statistical trigger; there was a 57.1% to 61.6% probability of improving 6-month survival across varying hydrocortisone dosing strategies.</p>



<p>Conclusions and Relevance&nbsp;Among critically ill patients with COVID-19 randomized to receive 1 or more therapeutic interventions, treatment with an IL-6 receptor antagonist had a greater than 99.9% probability of improved 180-day mortality compared with patients randomized to the control, and treatment with an antiplatelet had a 95.0% probability of improved 180-day mortality compared with patients randomized to the control. Overall, when considered with previously reported short-term results, the findings indicate that initial in-hospital treatment effects were consistent for most therapies through 6 months.</p>
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			</item>
		<item>
		<title>Effect of Antiplatelet Therapy on Survival and Organ Support–Free Days in Critically Ill Patients With COVID-19</title>
		<link>https://remapcap.co.uk/effect-of-antiplatelet-therapy-on-survival-and-organ-support-free-days-in-critically-ill-patients-with-covid-19/</link>
		
		<dc:creator><![CDATA[Kristof Vanmunster]]></dc:creator>
		<pubDate>Mon, 02 Oct 2023 19:53:21 +0000</pubDate>
				<category><![CDATA[Otherpublications]]></category>
		<guid isPermaLink="false">https://remapcap.co.uk/?p=682</guid>

					<description><![CDATA[Among critically ill patients with COVID-19, treatment with an antiplatelet agent, compared with no antiplatelet agent, had a low likelihood of providing improvement in the number of organ support–free days within 21 days.

]]></description>
										<content:encoded><![CDATA[
<h2 class="wp-block-heading"><strong>Importance</strong>&nbsp;&nbsp;</h2>



<p>The efficacy of antiplatelet therapy in critically ill patients with COVID-19 is uncertain.</p>



<h2 class="wp-block-heading"><strong>Objective</strong>&nbsp;&nbsp;</h2>



<p>To determine whether antiplatelet therapy improves outcomes for critically ill adults with COVID-19.</p>



<h2 class="wp-block-heading"><strong>Results</strong></h2>



<p>The aspirin and P2Y12 inhibitor groups met the predefined criteria for equivalence at an adaptive analysis and were statistically pooled for further analysis. Enrollment was discontinued after the prespecified criterion for futility was met for the pooled antiplatelet group compared with control. Among the 1557 critically ill patients randomized, 8 patients withdrew consent and 1549 completed the trial (median age, 57 years; 521 [33.6%] female). The median for organ support–free days was 7 (IQR, −1 to 16) in both the antiplatelet and control groups (median-adjusted OR, 1.02 [95% credible interval {CrI}, 0.86-1.23]; 95.7% posterior probability of futility). The proportions of patients surviving to hospital discharge were 71.5% (723/1011) and 67.9% (354/521) in the antiplatelet and control groups, respectively (median-adjusted OR, 1.27 [95% CrI, 0.99-1.62]; adjusted absolute difference, 5% [95% CrI, −0.2% to 9.5%]; 97% posterior probability of efficacy). Among survivors, the median for organ support–free days was 14 in both groups. Major bleeding occurred in 2.1% and 0.4% of patients in the antiplatelet and control groups (adjusted OR, 2.97 [95% CrI, 1.23-8.28]; adjusted absolute risk increase, 0.8% [95% CrI, 0.1%-2.7%]; 99.4% probability of harm).</p>
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		<item>
		<title>Association between tocilizumab, sarilumab and all-cause mortality at 28 days in hospitalized patients with COVID-19: A network meta-analysis</title>
		<link>https://remapcap.co.uk/association-between-tocilizumab-sarilumab-and-all-cause-mortality-at-28-days-in-hospitalized-patients-with-covid-19-a-network-meta-analysis/</link>
		
		<dc:creator><![CDATA[Kristof Vanmunster]]></dc:creator>
		<pubDate>Mon, 02 Oct 2023 19:50:55 +0000</pubDate>
				<category><![CDATA[Otherpublications]]></category>
		<guid isPermaLink="false">https://remapcap.co.uk/?p=678</guid>

					<description><![CDATA[Administration of either tocilizumab or sarilumab was associated with lower 28-day all-cause mortality compared with usual care or placebo. The association is not dependent on the choice of interleukin-6 receptor antagonist.

]]></description>
										<content:encoded><![CDATA[
<h2 class="wp-block-heading" id="p-2"><strong>Objective</strong> </h2>



<p id="p-2">To estimate pairwise associations between administration of tocilizumab, sarilumab and usual care or placebo with 28-day mortality, in COVID-19 patients receiving concomitant corticosteroids and non-invasive or mechanical ventilation, based on all available direct and indirect evidence.</p>



<h2 class="wp-block-heading" id="p-3"><strong>Methods</strong> </h2>



<p id="p-3">Eligible trials randomized hospitalized patients with COVID-19 that compared either interleukin-6 receptor antagonist with usual care or placebo in a recent prospective meta-analysis (27 trials, 10930 patients) or that directly compared tocilizumab with sarilumab. Data were restricted to patients receiving corticosteroids and either non-invasive or invasive ventilation at randomization.</p>



<p id="p-4">Pairwise associations between tocilizumab, sarilumab and usual care or placebo for all-cause mortality 28 days after randomization were estimated using a frequentist contrast-based network meta-analysis of odds ratios (ORs), implementing multivariate fixed-effects models that assume consistency between the direct and indirect evidence.</p>



<h2 class="wp-block-heading" id="p-5"><strong>Results</strong> </h2>



<p id="p-5">One trial (REMAP-CAP) was identified that directly compared tocilizumab with sarilumab and supplied results on all-cause mortality at 28-days. This network meta-analysis was based on 898 eligible patients (278 deaths) from REMAP-CAP and 3710 eligible patients from 18 trials (1278 deaths) from the prospective meta-analysis. Summary ORs were similar for tocilizumab [0.82 [0.71-0.95, P=0.008]] and sarilumab [0.80 [0.61-1.04, P=0.09]] compared with usual care or placebo. The summary OR for 28-day mortality comparing tocilizumab with sarilumab was 1.03 [95%CI 0.81-1.32, P=0.80]. The P value for the global test for inconsistency was 0.28.</p>
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			</item>
		<item>
		<title>Lopinavir‑ritonavir and hydroxychloroquine for critically ill patients with COVID‑19: REMAP‑CAP randomized controlled trial</title>
		<link>https://remapcap.co.uk/lopinavir%e2%80%91ritonavir-and-hydroxychloroquine-for-critically-ill-patients-with-covid%e2%80%9119-remap%e2%80%91cap-randomized-controlled-trial/</link>
		
		<dc:creator><![CDATA[Kristof Vanmunster]]></dc:creator>
		<pubDate>Mon, 02 Oct 2023 19:47:57 +0000</pubDate>
				<category><![CDATA[Otherpublications]]></category>
		<guid isPermaLink="false">https://remapcap.co.uk/?p=674</guid>

					<description><![CDATA[The objective of this trial was to evaluate the effects of lopinavir-ritonavir, hydroxychloroquine, and combination therapy of lopinavir-ritonavir and hydroxychloroquine compared to no COVID-19 antiviral therapy on organ support-free days in critically ill patients with COVID-19.

]]></description>
										<content:encoded><![CDATA[
<p></p>



<h2 class="wp-block-heading"><strong>Purpose</strong></h2>



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



<h2 class="wp-block-heading"><strong>Methods</strong></h2>



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



<h2 class="wp-block-heading"><strong>Results</strong></h2>



<p>We randomized 694 patients to receive lopinavir-ritonavir (n = 255), hydroxychloroquine (n = 50), combination<br>therapy (n = 27) or control (n = 362). The median organ support-free days among patients in lopinavir-ritonavir,<br>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%),<br>respectively, compared to 106/353 (30%) in the control group. The three interventions decreased organ supportfree<br>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<br>posterior probabilities that reached the threshold futility (≥ 99.0%), and high probabilities of harm (98.0%, 99.9%<br>and > 99.9%, respectively). The three interventions reduced hospital survival compared with control (OR [95% CrI]: 0.65<br>[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%,<br>respectively).</p>



<h2 class="wp-block-heading"><strong>Conclusion</strong></h2>



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



<h2 class="wp-block-heading"><strong>Keywords:</strong></h2>



<p>Adaptive platform trial, Intensive care, Pneumonia, Pandemic, COVID-19, Lopinavir-ritonavir,<br>Hydroxychloroquine</p>
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		<item>
		<title>Effectiveness of Tocilizumab, Sarilumab, and Anakinra for critically ill patients with COVID-19 The REMAP-CAP COVID-19 Immune Modulation Therapy Domain Randomized Clinical Trial</title>
		<link>https://remapcap.co.uk/effectiveness-of-tocilizumab-sarilumab-and-anakinra-for-critically-ill-patients-with-covid-19-the-remap-cap-covid-19-immune-modulation-therapy-domain-randomized-clinical-trial/</link>
					<comments>https://remapcap.co.uk/effectiveness-of-tocilizumab-sarilumab-and-anakinra-for-critically-ill-patients-with-covid-19-the-remap-cap-covid-19-immune-modulation-therapy-domain-randomized-clinical-trial/#respond</comments>
		
		<dc:creator><![CDATA[Kristof Vanmunster]]></dc:creator>
		<pubDate>Mon, 02 Oct 2023 19:44:49 +0000</pubDate>
				<category><![CDATA[Otherpublications]]></category>
		<guid isPermaLink="false">https://remapcap.co.uk/?p=671</guid>

					<description><![CDATA[This article is a preprint and has not been certified by peer review. It reports new medical research that has yet to be evaluated and so should not be used to guide clinical practice.

]]></description>
										<content:encoded><![CDATA[
<h2 class="wp-block-heading" id="p-2"><strong>BACKGROUND</strong> </h2>



<p id="p-2">The interleukin-6 receptor antagonist tocilizumab improves outcomes in critically ill patients with coronavirus disease 2019 (COVID-19). However, the effectiveness of other immune modulating agents is unclear.</p>



<h2 class="wp-block-heading" id="p-3"><strong>METHODS</strong> </h2>



<p id="p-3">We evaluated four immunomodulatory agents in an ongoing international, multifactorial, adaptive platform trial. Adult participants with COVID-19 were randomized to receive tocilizumab, sarilumab, anakinra, or standard care (control). In addition, a small group (n=21) of participants were randomized to interferon-β1a. The primary outcome was an ordinal scale combining in-hospital mortality (assigned -1) and days free of organ support to day 21. The trial used a Bayesian statistical model with pre-defined triggers for superiority, equivalence or futility.</p>



<h2 class="wp-block-heading" id="p-4"><strong>RESULTS</strong> </h2>



<p id="p-4">Statistical triggers for equivalence between tocilizumab and sarilumab; and for inferiority of anakinra to the other active interventions were met at a planned adaptive analysis. Of the 2274 critically ill participants enrolled, 972 were assigned to tocilizumab, 485 to sarilumab, 378 to anakinra and 418 to control. Median organ support-free days were 7 (interquartile range [IQR] –1, 16), 9 (IQR –1, 17), 0 (IQR –1, 15) and 0 (IQR –1, 15) for tocilizumab, sarilumab, anakinra and control, respectively. Median adjusted odds ratios were 1.46 (95%CrI 1.13, 1.87), 1.50 (95%CrI 1.13, 2.00), and 0.99 (95%CrI 0.74, 1.35) for tocilizumab, sarilumab and anakinra, yielding 99.8%, 99.8% and 46.6% posterior probabilities of superiority, respectively, compared to control. Median adjusted odds ratios for hospital survival were 1.42 (95%CrI 1.05,1.93), 1.51 (95%CrI 1.06, 2.20) and 0.97 (95%CrI 0.66, 1.40) for tocilizumab, sarilumab and anakinra respectively, compared to control, yielding 98.8%, 98.8% and 43.6% posterior probabilities of superiority, respectively, compared to control. All treatments appeared safe.</p>
]]></content:encoded>
					
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			</item>
		<item>
		<title>Mortality outcomes with hydroxychloroquine and chloroquine in COVID-19 from an international collaborative meta-analysis of randomized trials</title>
		<link>https://remapcap.co.uk/mortality-outcomes-with-hydroxychloroquine-and-chloroquine-in-covid-19-from-an-international-collaborative-meta-analysis-of-randomized-trials/</link>
					<comments>https://remapcap.co.uk/mortality-outcomes-with-hydroxychloroquine-and-chloroquine-in-covid-19-from-an-international-collaborative-meta-analysis-of-randomized-trials/#respond</comments>
		
		<dc:creator><![CDATA[Kristof Vanmunster]]></dc:creator>
		<pubDate>Mon, 02 Oct 2023 19:40:19 +0000</pubDate>
				<category><![CDATA[Otherpublications]]></category>
		<guid isPermaLink="false">https://remapcap.co.uk/?p=668</guid>

					<description><![CDATA[This collaborative meta-analysis of 28 published or unpublished RCTs, including 10,319 patients, shows that treatment with HCQ was associated with increased mortality in COVID-19 patients, and there was no benefit from treatment with CQ.

]]></description>
										<content:encoded><![CDATA[
<p>Substantial COVID-19 research investment has been allocated to randomized clinical trials<br>(RCTs) on hydroxychloroquine/chloroquine, which currently face recruitment challenges or<br>early discontinuation. We aim to estimate the effects of hydroxychloroquine and chloroquine<br>on survival in COVID-19 from all currently available RCT evidence, published and unpublished.<br>We present a rapid meta-analysis of ongoing, completed, or discontinued RCTs on<br>hydroxychloroquine or chloroquine treatment for any COVID-19 patients (protocol: https://<br>osf.io/QESV4/). We systematically identified unpublished RCTs (ClinicalTrials.gov, WHO<br>International Clinical Trials Registry Platform, Cochrane COVID-registry up to June 11, 2020),<br>and published RCTs (PubMed, medRxiv and bioRxiv up to October 16, 2020). All-cause<br>mortality has been extracted (publications/preprints) or requested from investigators and<br>combined in random-effects meta-analyses, calculating odds ratios (ORs) with 95% confidence<br>intervals (CIs), separately for hydroxychloroquine and chloroquine. Prespecified<br>subgroup analyses include patient setting, diagnostic confirmation, control type, and publication<br>status. Sixty-three trials were potentially eligible. We included 14 unpublished trials<br>(1308 patients) and 14 publications/preprints (9011 patients). Results for hydroxychloroquine<br>are dominated by RECOVERY and WHO SOLIDARITY, two highly pragmatic trials, which<br>employed relatively high doses and included 4716 and 1853 patients, respectively (67% of<br>the total sample size). The combined OR on all-cause mortality for hydroxychloroquine is 1.11<br>(95% CI: 1.02, 1.20; I² = 0%; 26 trials; 10,012 patients) and for chloroquine 1.77 (95%CI: 0.15,<br>21.13, I² = 0%; 4 trials; 307 patients). We identified no subgroup effects. We found that<br>treatment with hydroxychloroquine is associated with increased mortality in COVID-19<br>patients, and there is no benefit of chloroquine. Findings have unclear generalizability to<br>outpatients, children, pregnant women, and people with comorbidities.</p>
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