Simvastatin in Critically Ill Patients with Covid-19.

BACKGROUND: The efficacy of simvastatin in critically ill patients with coronavirus disease 2019 (Covid-19) is unclear. METHODS: 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 (>99% posterior probability that the odds ratio was >1) and futility (>95% posterior probability that the odds ratio was <1.2). RESULTS: 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. CONCLUSIONS: 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. (REMAP-CAP ClinicalTrials.gov number, NCT02735707.).

Proteomic Evolution from Acute to Post-COVID-19 Conditions.

Many COVID-19 survivors have post-COVID-19 conditions, and females are at a higher risk. We sought to determine (1) how protein levels change from acute to post-COVID-19 conditions, (2) whether females have a plasma protein signature different from that of males, and (3) which biological pathways are associated with COVID-19 when compared to restrictive lung disease. We measured protein levels in 74 patients on the day of admission and at 3 and 6 months after diagnosis. We determined protein concentrations by multiple reaction monitoring (MRM) using a panel of 269 heavy-labeled peptides. The predicted forced vital capacity (FVC) and diffusing capacity of the lungs for carbon monoxide (DLCO) were measured by routine pulmonary function testing. Proteins associated with six key lipid-related pathways increased from admission to 3 and 6 months; conversely, proteins related to innate immune responses and vasoconstriction-related proteins decreased. Multiple biological functions were regulated differentially between females and males. Concentrations of eight proteins were associated with FVC, %, and they together had c-statistics of 0.751 (CI:0.732-0.779); similarly, concentrations of five proteins had c-statistics of 0.707 (CI:0.676-0.737) for DLCO, %. Lipid biology may drive evolution from acute to post-COVID-19 conditions, while activation of innate immunity and vascular regulation pathways decreased over that period. (ProteomeXchange identifiers: PXD041762, PXD029437).

Interleukin-6 Receptor Antagonists in Critically Ill Patients with Covid-19.

BACKGROUND: The efficacy of interleukin-6 receptor antagonists in critically ill patients with coronavirus disease 2019 (Covid-19) is unclear. METHODS: We evaluated tocilizumab and sarilumab in an ongoing international, multifactorial, adaptive platform trial. Adult patients with Covid-19, within 24 hours after starting organ support in the intensive care unit (ICU), were randomly assigned to receive tocilizumab (8 mg per kilogram of body weight), sarilumab (400 mg), or standard care (control). The primary outcome was respiratory and cardiovascular organ support-free days, on an ordinal scale combining in-hospital death (assigned a value of -1) and days free of organ support to day 21. The trial uses a Bayesian statistical model with predefined criteria for superiority, efficacy, equivalence, or futility. An odds ratio greater than 1 represented improved survival, more organ support-free days, or both. RESULTS: Both tocilizumab and sarilumab met the predefined criteria for efficacy. At that time, 353 patients had been assigned to tocilizumab, 48 to sarilumab, and 402 to control. The median number of organ support-free days was 10 (interquartile range, -1 to 16) in the tocilizumab group, 11 (interquartile range, 0 to 16) in the sarilumab group, and 0 (interquartile range, -1 to 15) in the control group. The median adjusted cumulative odds ratios were 1.64 (95% credible interval, 1.25 to 2.14) for tocilizumab and 1.76 (95% credible interval, 1.17 to 2.91) for sarilumab as compared with control, yielding posterior probabilities of superiority to control of more than 99.9% and of 99.5%, respectively. An analysis of 90-day survival showed improved survival in the pooled interleukin-6 receptor antagonist groups, yielding a hazard ratio for the comparison with the control group of 1.61 (95% credible interval, 1.25 to 2.08) and a posterior probability of superiority of more than 99.9%. All secondary analyses supported efficacy of these interleukin-6 receptor antagonists. CONCLUSIONS: In critically ill patients with Covid-19 receiving organ support in ICUs, treatment with the interleukin-6 receptor antagonists tocilizumab and sarilumab improved outcomes, including survival. (REMAP-CAP ClinicalTrials.gov number, NCT02735707.).

Repurposed Antiviral Drugs for Covid-19 - Interim WHO Solidarity Trial Results.

BACKGROUND: World Health Organization expert groups recommended mortality trials of four repurposed antiviral drugs - remdesivir, hydroxychloroquine, lopinavir, and interferon beta-1a - in patients hospitalized with coronavirus disease 2019 (Covid-19). METHODS: We randomly assigned inpatients with Covid-19 equally between one of the trial drug regimens that was locally available and open control (up to five options, four active and the local standard of care). The intention-to-treat primary analyses examined in-hospital mortality in the four pairwise comparisons of each trial drug and its control (drug available but patient assigned to the same care without that drug). Rate ratios for death were calculated with stratification according to age and status regarding mechanical ventilation at trial entry. RESULTS: At 405 hospitals in 30 countries, 11,330 adults underwent randomization; 2750 were assigned to receive remdesivir, 954 to hydroxychloroquine, 1411 to lopinavir (without interferon), 2063 to interferon (including 651 to interferon plus lopinavir), and 4088 to no trial drug. Adherence was 94 to 96% midway through treatment, with 2 to 6% crossover. In total, 1253 deaths were reported (median day of death, day 8; interquartile range, 4 to 14). The Kaplan-Meier 28-day mortality was 11.8% (39.0% if the patient was already receiving ventilation at randomization and 9.5% otherwise). Death occurred in 301 of 2743 patients receiving remdesivir and in 303 of 2708 receiving its control (rate ratio, 0.95; 95% confidence interval [CI], 0.81 to 1.11; P = 0.50), in 104 of 947 patients receiving hydroxychloroquine and in 84 of 906 receiving its control (rate ratio, 1.19; 95% CI, 0.89 to 1.59; P = 0.23), in 148 of 1399 patients receiving lopinavir and in 146 of 1372 receiving its control (rate ratio, 1.00; 95% CI, 0.79 to 1.25; P = 0.97), and in 243 of 2050 patients receiving interferon and in 216 of 2050 receiving its control (rate ratio, 1.16; 95% CI, 0.96 to 1.39; P = 0.11). No drug definitely reduced mortality, overall or in any subgroup, or reduced initiation of ventilation or hospitalization duration. CONCLUSIONS: These remdesivir, hydroxychloroquine, lopinavir, and interferon regimens had little or no effect on hospitalized patients with Covid-19, as indicated by overall mortality, initiation of ventilation, and duration of hospital stay. (Funded by the World Health Organization; ISRCTN Registry number, ISRCTN83971151; ClinicalTrials.gov number, NCT04315948.).

Management of Heat-Related Illness and Injury in the ICU: A Concise Definitive Review.

OBJECTIVES: The increasing frequency of extreme heat events has led to a growing number of heat-related injuries and illnesses in ICUs. The objective of this review was to summarize and critically appraise evidence for the management of heat-related illnesses and injuries for critical care multiprofessionals. DATA SOURCES: Ovid Medline, Embase, Cochrane Clinical Trials Register, Cumulative Index to Nursing and Allied Health Literature, and ClinicalTrials.gov databases were searched from inception through August 2023 for studies reporting on heat-related injury and illness in the setting of the ICU. STUDY SELECTION: English-language systematic reviews, narrative reviews, meta-analyses, randomized clinical trials, and observational studies were prioritized for review. Bibliographies from retrieved articles were scanned for articles that may have been missed. DATA EXTRACTION: Data regarding study methodology, patient population, management strategy, and clinical outcomes were qualitatively assessed. DATA SYNTHESIS: Several risk factors and prognostic indicators for patients diagnosed with heat-related illness and injury have been identified and reported in the literature. Effective management of these patients has included various cooling methods and fluid replenishment. Drug therapy is not effective. Multiple organ dysfunction, neurologic injury, and disseminated intravascular coagulation are common complications of heat stroke and must be managed accordingly. Burn injury from contact with hot surfaces or pavement can occur, requiring careful evaluation and possible excision and grafting in severe cases. CONCLUSIONS: The prevalence of heat-related illness and injury is increasing, and rapid initiation of appropriate therapies is necessary to optimize outcomes. Additional research is needed to identify effective methods and strategies to achieve rapid cooling, the role of immunomodulators and anticoagulant medications, the use of biomarkers to identify organ failure, and the role of artificial intelligence and precision medicine.

Association of delayed adequate antimicrobial treatment and organ dysfunction in pediatric bloodstream infections.

BACKGROUND: Bloodstream infections (BSIs) are associated with significant mortality and morbidity, including multiple organ dysfunction. We explored if delayed adequate antimicrobial treatment for children with BSIs is associated with change in organ dysfunction as measured by PELOD-2 scores. METHODS: We conducted a multicenter, retrospective cohort study of critically ill children <18 years old with BSIs. The primary outcome was change in PELOD-2 score between days 1 (index blood culture) and 5. The exposure variable was delayed administration of adequate antimicrobial therapy by ≥3 h from blood culture collection. We compared PELOD-2 score changes between those who received early and delayed treatment. RESULTS: Among 202 children, the median (interquartile range) time to adequate antimicrobial therapy was 7 (0.8-20.1) hours; 124 (61%) received delayed antimicrobial therapy. Patients who received early and delayed treatment had similar baseline characteristics. There was no significant difference in PELOD-2 score changes from days 1 and 5 between groups (PELOD-2 score difference -0.07, 95% CI -0.92 to 0.79, p = 0.88). CONCLUSIONS: We did not find an association between delayed adequate antimicrobial therapy and PELOD-2 score changes between days 1 and 5 from detection of BSI. PELOD-2 score was not sensitive for clinical effects of delayed antimicrobial treatment. IMPACT: In critically ill children with bloodstream infections, there was no significant change in organ dysfunction as measured by PELOD-2 scores between patients who received adequate antimicrobial therapy within 3 h of their initial positive blood culture and those who started after 3 h. Higher PELOD-2 scores on day 1 were associated with larger differences in PELOD-2 scores between days 1 and 5 from index positive blood cultures. Further study is required to determine if PELOD-2 or alternative measures of organ dysfunction could be used as primary outcome measures in trials of antimicrobial interventions in pediatric critical care research.

Using a targeted metabolomics approach to explore differences in ARDS associated with COVID-19 compared to ARDS caused by H1N1 influenza and bacterial pneumonia.

RATIONALE: Acute respiratory distress syndrome (ARDS) is a life-threatening critical care syndrome commonly associated with infections such as COVID-19, influenza, and bacterial pneumonia. Ongoing research aims to improve our understanding of ARDS, including its molecular mechanisms, individualized treatment options, and potential interventions to reduce inflammation and promote lung repair. OBJECTIVE: To map and compare metabolic phenotypes of different infectious causes of ARDS to better understand the metabolic pathways involved in the underlying pathogenesis. METHODS: We analyzed metabolic phenotypes of 3 ARDS cohorts caused by COVID-19, H1N1 influenza, and bacterial pneumonia compared to non-ARDS COVID-19-infected patients and ICU-ventilated controls. Targeted metabolomics was performed on plasma samples from a total of 150 patients using quantitative LC-MS/MS and DI-MS/MS analytical platforms. RESULTS: Distinct metabolic phenotypes were detected between different infectious causes of ARDS. There were metabolomics differences between ARDSs associated with COVID-19 and H1N1, which include metabolic pathways involving taurine and hypotaurine, pyruvate, TCA cycle metabolites, lysine, and glycerophospholipids. ARDSs associated with bacterial pneumonia and COVID-19 differed in the metabolism of D-glutamine and D-glutamate, arginine, proline, histidine, and pyruvate. The metabolic profile of COVID-19 ARDS (C19/A) patients admitted to the ICU differed from COVID-19 pneumonia (C19/P) patients who were not admitted to the ICU in metabolisms of phenylalanine, tryptophan, lysine, and tyrosine. Metabolomics analysis revealed significant differences between C19/A, H1N1/A, and PNA/A vs ICU-ventilated controls, reflecting potentially different disease mechanisms. CONCLUSION: Different metabolic phenotypes characterize ARDS associated with different viral and bacterial infections.

Trends in characteristics, interventions, and outcomes of hospitalized patients with COVID-19 in Canada: a multicentre prospective cohort study.

PURPOSE: Our objective was to investigate the temporal trends in baseline characteristics, interventions, and clinical outcomes in patients hospitalized with COVID-19 in Canada over five pandemic waves. METHODS: We conducted a multicentre prospective cohort study enrolling adults and children admitted with COVID-19 from 47 Canadian hospitals. We compared characteristics, interventions, and outcomes of patients across five distinct pandemic waves. RESULTS: We enrolled 5,285 patients between 2 January 2020 and 8 February 2022. The mean (standard deviation) age was 62.6 (21.0) yr; 41.2% (n = 2,176) were female, and 48% (n = 2,539) required admission to an intensive care unit (ICU), of whom 60.3% (n = 1,530) underwent invasive mechanical ventilation. The proportion of vaccinated patients increased over time. The proportion of vaccinated hospitalized patients progressing to require ICU admission fell over pandemic waves while the proportion of unvaccinated hospitalized patients progressing to require ICU admission did not. Patients were most commonly treated with corticosteroids (48.7%; n = 2,575); use of corticosteroids and other evidence-based treatments increased over time. Hospital mortality was 22.1% (n = 1,166) among all patients, 30.2% (n = 766) among those admitted to an ICU, and 37.9% (n = 580) among those requiring invasive mechanical ventilation. Younger age, absence of chronic cardiac or pulmonary disease, severity of illness at admission, and prior vaccination was associated with a lower mortality; however, pandemic wave itself was not. CONCLUSION: Among patients hospitalized in Canada with COVID-19, several clinical factors including prior vaccination were associated with lower mortality, but pandemic wave was not.

RéSUMé: OBJECTIF: Notre objectif était d'étudier les tendances temporelles des caractéristiques de base, des interventions et des issues cliniques chez la patientèle hospitalisée pour cause de COVID-19 au Canada au cours de cinq vagues de la pandémie. MéTHODE: Nous avons mené une étude de cohorte prospective multicentrique auprès d'adultes et d'enfants admis·es avec la COVID-19 dans 47 hôpitaux canadiens. Nous avons comparé les caractéristiques, les interventions et les issues des patient·es sur cinq vagues pandémiques distinctes. RéSULTATS: Nous avons recruté 5285 patient·es entre le 2 janvier 2020 et le 8 février 2022. L'âge moyen (écart type) était de 62,6 (21,0) ans; 41,2 % (n = 2176) étaient des femmes, et 48 % (n = 2539) ont dû être admis·es à une unité de soins intensifs (USI), dont 60,3 % (n = 1530) ont bénéficié de ventilation mécanique invasive. La proportion de patient·es vacciné·es a augmenté au fil du temps. La proportion de patient·es hospitalisé·es vacciné·es nécessitant une admission aux soins intensifs a diminué au cours des vagues pandémiques, tandis que la proportion de patient·es hospitalisé·es non vacciné·es nécessitant une admission aux soins intensifs n'a pas diminué. Les patient·es étaient le plus souvent traité·es par corticostéroïdes (48,7 %; n = 2575); l'utilisation de corticostéroïdes et d'autres traitements fondés sur des données probantes a augmenté au fil du temps. La mortalité hospitalière était de 22,1 % (n = 1166) parmi l'ensemble des patient·es, 30,2 % (n = 766) chez les personnes admises à l'unité de soins intensifs, et 37,9 % (n = 580) parmi les personnes nécessitant une ventilation mécanique invasive. Le jeune âge, l'absence de maladie cardiaque ou pulmonaire chronique, la gravité de la maladie à l'admission et la vaccination antérieure étaient associés à une mortalité plus faible; cependant, la vague pandémique elle-même ne l'était pas. CONCLUSION: Parmi les personnes hospitalisées au Canada en raison de la COVID-19, plusieurs facteurs cliniques, y compris la vaccination antérieure, étaient associés à une mortalité plus faible, mais pas la vague pandémique.

An Equity, Diversity, and Inclusion glossary for sociodemographic determinants of health within critical care medicine.

PURPOSE: Equity, Diversity, and Inclusion (EDI) initiatives within critical care research are limited by a lack of resources and inconsistent and rapidly changing language. The Canadian Critical Care Trials Group (CCCTG) is committed to modelling EDI for the critical care community through its programming, communications, protocols, and policies. The objective of developing the EDI glossary of sociodemographic determinants of health described here was to provide a resource for critical care professionals to support broader equity initiatives and to promote education and awareness about inclusive language. METHODS: Through literature review, we identified EDI-related sociodemographic determinants of health, defined as sociodemographic factors that are associated with disparities in health care and health outcomes, with a focus on critical care medicine. For each sociodemographic determinant of health, we identified umbrella terms (defined as domains) and subterms/constructs that are related to these domains. We designed the glossary collaboratively with the CCCTG EDI working group, patient and family partnerships committee, and executive committee, which included diverse knowledge users such as researchers, clinicians, and patient and family partners. RESULTS: We report on 12 sociodemographic determinants of health domains including age, sex, gender, sexuality, race and ethnicity, income, education, employment status, marital status, language, disability, and migration status. Each domain (e.g., sex) contains relevant subterms such as male, female, intersex. For each domain, we provide examples of disparities in health care and health outcomes with a focus on critical care medicine. CONCLUSIONS: This EDI glossary of sociodemographic determinants of health serves as a nonexhaustive resource that may be referenced by critical care researchers, research coordinators, clinicians, and patient and family partners. The glossary is an essential step to raising awareness about inclusive terminology and to fostering and advancing equity in critical care medicine.

RéSUMé: OBJECTIF: Les initiatives en matière d'équité, de diversité et d'inclusion (EDI) dans le cadre de la recherche en soins intensifs sont limitées à la fois par un manque de ressources et par un langage incohérent et évoluant rapidement. Le Groupe canadien de recherche en soins intensifs (CCCTG) s'est engagé à devenir un modèle en matière d'EDI pour la communauté des soins intensifs par le biais de ses programmes, de ses communications, de ses protocoles et de ses politiques. L'objectif de l'élaboration du glossaire pour les déterminants sociodémographiques de la santé respectant l'EDI décrit ici était de fournir une ressource aux professionnel·les des soins intensifs pour soutenir des initiatives d'équité plus larges et de promouvoir l'éducation et la sensibilisation au langage inclusif. MéTHODE: En procédant à l'examen de la littérature, nous avons identifié des déterminants sociodémographiques de la santé liés à l'EDI, définis comme des facteurs sociodémographiques associés à des disparités dans les soins de santé et les devenirs en santé, en mettant l'accent sur la médecine des soins intensifs. Pour chaque déterminant sociodémographique de la santé, nous avons identifié des termes génériques (définis comme des domaines) et des sous-termes/construits liés à ces domaines. Nous avons conçu le glossaire en collaboration avec le groupe de travail sur l'EDI du CCCTG, le comité des partenariats avec les patient·es et les familles et le comité exécutif, qui comprenait divers utilisateurs et utilisatrices des connaissances tels que des personnes impliquées dans la recherche ou en clinique ainsi que des partenaires issu·es de la patientèle et de leurs familles. RéSULTATS: Nous rendons compte de 12 domaines sociodémographiques pour les déterminants de la santé, notamment l'âge, le sexe, le genre, la sexualité, la race et l'origine ethnique, le revenu, l'éducation, la situation d'emploi, l'état matrimonial, la langue, le handicap et le statut migratoire. Chaque domaine (par exemple, le sexe) contient des sous-termes pertinents tels que masculin, féminin, intersexe. Pour chaque domaine, nous fournissons des exemples de disparités dans les soins de santé et les issues en matière de santé, en mettant l'accent sur la médecine des soins intensifs. CONCLUSION: Ce glossaire EDI des déterminants sociodémographiques de la santé sert de ressource non exhaustive qui peut être consultée par les équipes de recherche en soins intensifs, les coordonnateurs et coordonnatrices de recherche, les clinicien·nes et les patient·es ainsi que les familles. Ce glossaire est une étape essentielle pour sensibiliser à la terminologie inclusive et pour favoriser et faire progresser l'équité en médecine des soins intensifs.

Addressing health care inequities in Canadian critical care through inclusive science: a pilot tool for standardized data collection.

PURPOSE: Sociodemographic risks contributing to health inequities are often inadequately captured and reported in critical care studies. To address the lack of standardized terms and definitions, we sought to develop a practical and convenient resource of questions and response options for collecting sociodemographic variables for critical care research. SOURCE: To identify domains and variables that impact health equity, we searched: 1) PubMed for critical care randomized trials (2010 to 2021); 2) high-impact critical care and general medicine journals for special issues relating to equity; and 3) governmental and nongovernmental resources. PRINCIPAL FINDINGS: We identified 23 domains associated with health equity, including pronouns, age, sex, gender identity, sexual orientation, race and ethnicity, visible minorities, language, household income, marital/relationship status, education, disabilities, immigrant and refugee status, employment, primary care access, expanded health insurance, internet access, housing security, food security, dependents, religion, and postal code. For each domain we provided standardized questions and response options; for 13/23 domains, we included more than one version of the question and response categories. CONCLUSION: We developed a standardized, practical, and convenient demographic data collection tool for critical care research studies. Questions and response options can be adapted by researchers for inclusion in individual study questionnaires or case report forms.

RéSUMé: OBJECTIF: Les risques sociodémographiques qui contribuent aux inégalités en matière de santé sont souvent mal saisis et rapportés dans les études de soins intensifs. Pour remédier au manque de termes et de définitions normalisés, nous avons cherché à élaborer une ressource à la fois pratique et utile de questions et d'options de réponse pour le recueil des variables sociodémographiques pour la recherche en soins intensifs. SOURCES: Pour identifier les domaines et les variables qui ont une incidence sur l'équité en santé, nous avons effectué des recherches dans : 1) PubMed, pour en extraire les études randomisées en soins intensifs (2010 à 2021); 2) des revues de soins intensifs et de médecine générale à impact élevé pour identifier les numéros spéciaux liés à l'équité; et 3) les ressources gouvernementales et non gouvernementales. CONSTATATIONS PRINCIPALES: Nous avons identifié 23 domaines associés à l'équité en santé, y compris les pronoms, l'âge, le sexe, l'identité de genre, l'orientation sexuelle, la race et l'origine ethnique, les minorités visibles, la langue, le revenu du ménage, l'état matrimonial / relationnel, l'éducation, les handicaps, le statut d'immigrant·e et de réfugié·e, l'emploi, l'accès aux soins primaires, l'assurance maladie élargie, l'accès à l'internet, la sécurité du logement, la sécurité alimentaire, les personnes à charge, la religion et le code postal. Pour chaque domaine, nous avons fourni des questions et des options de réponse normalisées; pour 13/23 domaines, nous avons inclus plus d'une version des catégories de questions et réponses. CONCLUSION: Nous avons mis au point un outil de collecte de données démographiques normalisé, pratique et utile pour la recherche en soins intensifs. Les options de questions et de réponses peuvent être adaptées par les chercheuses et chercheurs pour être incluses dans des questionnaires d'étude individuels ou des formulaires de présentation de cas.

Designing a national pediatric critical care database: a Delphi consensus study.

PURPOSE: We sought to describe the processes undertaken for the systematic selection and consensus determination of the common data elements for inclusion in a national pediatric critical care database in Canada. METHODS: We conducted a multicentre Delphi consensus study of Canadian pediatric intensive care units (PICUs) participating in the creation of a national database. Participants were PICU health care professionals, allied health professionals, caregivers, and other stakeholders. A dedicated panel group created a baseline survey of data elements based on literature, current PICU databases, and expertise in the field. The survey was then used for a Delphi iterative consensus process over three rounds, conducted from March to June 2021. RESULTS: Of 86 invited participants, 68 (79%) engaged and agreed to participate as part of an expert panel. Panel participants were sent three rounds of the survey with response rates of 62 (91%), 61 (90%) and 55 (81%), respectively. After three rounds, 72 data elements were included from six domains, mostly reflecting clinical status and complex medical interventions received in the PICU. While race, gender, and home region were included by consensus, variables such as minority status, indigenous status, primary language, and ethnicity were not. CONCLUSION: We present the methodological framework used to select data elements by consensus for a national pediatric critical care database, with participation from a diverse stakeholder group of experts and caregivers from all PICUs in Canada. The selected core data elements will provide standardized and synthesized data for research, benchmarking, and quality improvement initiatives of critically ill children.

RéSUMé: OBJECTIF: Nous avons cherché à décrire les processus entrepris pour la sélection systématique et la détermination consensuelle des éléments de données communs à inclure dans une base de données nationale sur les soins intensifs pédiatriques au Canada. MéTHODE: Nous avons mené une étude multicentrique de consensus selon la méthode Delphi sur les unités de soins intensifs pédiatriques (USIP) canadiennes participant à la création d'une base de données nationale. Les personnes participant à l'étude étaient des professionnel·les de la santé de l'USIP, du personnel paramédical, des soignant·es et d'autres intervenant·es. Un groupe de travail spécialisé a créé une enquête de base des éléments de données sur la littérature, les bases de données actuelles portant sur les USIP et l'expertise dans le domaine. L'enquête a ensuite été utilisée pour créer un processus de consensus itératif Delphi sur trois cycles, mené de mars à juin 2021. RéSULTATS: Sur les 86 personnes invitées à participer, 68 (79 %) se sont engagées et ont accepté de participer à un groupe d'experts. Les membres du panel ont reçu trois rondes du sondage, avec des taux de réponse de 62 (91 %), 61 (90 %) et 55 (81 %), respectivement. Après trois cycles, 72 éléments de données provenant de six domaines ont été inclus, reflétant principalement l'état clinique et les interventions médicales complexes reçues à l'USIP. Alors que la race, le genre et la région d'origine ont été inclus par consensus, des variables telles que le statut de minorité, le statut d'autochtone, la langue principale parlée et l'origine ethnique ne l'ont pas été. CONCLUSION: Nous présentons le cadre méthodologique utilisé pour sélectionner des éléments de données consensuels destinés à une base de données nationale sur les soins intensifs pédiatriques, avec la participation d'un groupe diversifié d'expert·es et de soignant·es de toutes les USIP au Canada. Les éléments de données de base sélectionnés fourniront des données normalisées et synthétisées pour la recherche, l'analyse comparative et les initiatives d'amélioration de la qualité pour les enfants gravement malades.

Long-term (180-Day) Outcomes in Critically Ill Patients With COVID-19 in the REMAP-CAP Randomized Clinical Trial.

Importance: The longer-term effects of therapies for the treatment of critically ill patients with COVID-19 are unknown. Objective: To determine the effect of multiple interventions for critically ill adults with COVID-19 on longer-term outcomes. Design, Setting, and Participants: 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. Interventions: 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). Main Outcomes and Measures: 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. Results: 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. Conclusions and Relevance: 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.

Longitudinal Plasma Proteomics Analysis Reveals Novel Candidate Biomarkers in Acute COVID-19.

The host response to COVID-19 pathophysiology over the first few days of infection remains largely unclear, especially the mechanisms in the blood compartment. We report on a longitudinal proteomic analysis of acute-phase COVID-19 patients, for which we used blood plasma, multiple reaction monitoring with internal standards, and data-independent acquisition. We measured samples on admission for 49 patients, of which 21 had additional samples on days 2, 4, 7, and 14 after admission. We also measured 30 externally obtained samples from healthy individuals for comparison at baseline. The 31 proteins differentiated in abundance between acute COVID-19 patients and healthy controls belonged to acute inflammatory response, complement activation, regulation of inflammatory response, and regulation of protein activation cascade. The longitudinal analysis showed distinct profiles revealing increased levels of multiple lipid-associated functions, a rapid decrease followed by recovery for complement activation, humoral immune response, and acute inflammatory response-related proteins, and level fluctuation in the regulation of smooth muscle cell proliferation, secretory mechanisms, and platelet degranulation. Three proteins were differentiated between survivors and nonsurvivors. Finally, increased levels of fructose-bisphosphate aldolase B were determined in patients with exposure to angiotensin receptor blockers versus decreased levels in those exposed to angiotensin-converting enzyme inhibitors. Data are available via ProteomeXchange PXD029437.

Use of an extended KDIGO definition to diagnose acute kidney injury in patients with COVID-19: A multinational study using the ISARIC-WHO clinical characterisation protocol.

BACKGROUND: Acute kidney injury (AKI) is one of the most common and significant problems in patients with Coronavirus Disease 2019 (COVID-19). However, little is known about the incidence and impact of AKI occurring in the community or early in the hospital admission. The traditional Kidney Disease Improving Global Outcomes (KDIGO) definition can fail to identify patients for whom hospitalisation coincides with recovery of AKI as manifested by a decrease in serum creatinine (sCr). We hypothesised that an extended KDIGO (eKDIGO) definition, adapted from the International Society of Nephrology (ISN) 0by25 studies, would identify more cases of AKI in patients with COVID-19 and that these may correspond to community-acquired AKI (CA-AKI) with similarly poor outcomes as previously reported in this population. METHODS AND FINDINGS: All individuals recruited using the International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC)-World Health Organization (WHO) Clinical Characterisation Protocol (CCP) and admitted to 1,609 hospitals in 54 countries with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection from February 15, 2020 to February 1, 2021 were included in the study. Data were collected and analysed for the duration of a patient's admission. Incidence, staging, and timing of AKI were evaluated using a traditional and eKDIGO definition, which incorporated a commensurate decrease in sCr. Patients within eKDIGO diagnosed with AKI by a decrease in sCr were labelled as deKDIGO. Clinical characteristics and outcomes-intensive care unit (ICU) admission, invasive mechanical ventilation, and in-hospital death-were compared for all 3 groups of patients. The relationship between eKDIGO AKI and in-hospital death was assessed using survival curves and logistic regression, adjusting for disease severity and AKI susceptibility. A total of 75,670 patients were included in the final analysis cohort. Median length of admission was 12 days (interquartile range [IQR] 7, 20). There were twice as many patients with AKI identified by eKDIGO than KDIGO (31.7% versus 16.8%). Those in the eKDIGO group had a greater proportion of stage 1 AKI (58% versus 36% in KDIGO patients). Peak AKI occurred early in the admission more frequently among eKDIGO than KDIGO patients. Compared to those without AKI, patients in the eKDIGO group had worse renal function on admission, more in-hospital complications, higher rates of ICU admission (54% versus 23%) invasive ventilation (45% versus 15%), and increased mortality (38% versus 19%). Patients in the eKDIGO group had a higher risk of in-hospital death than those without AKI (adjusted odds ratio: 1.78, 95% confidence interval: 1.71 to 1.80, p-value < 0.001). Mortality and rate of ICU admission were lower among deKDIGO than KDIGO patients (25% versus 50% death and 35% versus 70% ICU admission) but significantly higher when compared to patients with no AKI (25% versus 19% death and 35% versus 23% ICU admission) (all p-values <5 × 10-5). Limitations include ad hoc sCr sampling, exclusion of patients with less than two sCr measurements, and limited availability of sCr measurements prior to initiation of acute dialysis. CONCLUSIONS: An extended KDIGO definition of AKI resulted in a significantly higher detection rate in this population. These additional cases of AKI occurred early in the hospital admission and were associated with worse outcomes compared to patients without AKI.

Renin-Angiotensin System Pathway Therapeutics Associated With Improved Outcomes in Males Hospitalized With COVID-19.

OBJECTIVES: To determine whether angiotensin receptor blockers (ARBs) or angiotensin-converting enzyme (ACE) inhibitors are associated with improved outcomes in hospitalized patients with COVID-19 according to sex and to report sex-related differences in renin-angiotensin system (RAS) components. DESIGN: Prospective observational cohort study comparing the effects of ARB or ACE inhibitors versus no ARBs or ACE inhibitors in males versus females. Severe acute respiratory syndrome coronavirus 2 downregulates ACE-2, potentially increasing angiotensin II (a pro-inflammatory vasoconstrictor). Sex-based differences in RAS dysregulation may explain sex-based differences in responses to ARBs because the ACE2 gene is on the X chromosome. We recorded baseline characteristics, comorbidities, prehospital ARBs or ACE inhibitor treatment, use of organ support and mortality, and measured RAS components at admission and days 2, 4, 7, and 14 in a subgroup ( n = 46), recorded d -dimer ( n = 967), comparing males with females. SETTING: ARBs CORONA I is a multicenter Canadian observational cohort of patients hospitalized with acute COVID-19. This analysis includes patients admitted to 10 large urban hospitals across the four most populated provinces. PATIENTS: One-thousand six-hundred eighty-six patients with polymerase chain reaction-confirmed COVID-19 (February 2020 to March 2021) for acute COVID-19 illness were included. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Males on ARBs before admission had decreased use of ventilation (adjusted odds ratio [aOR] = 0.52; p = 0.007) and vasopressors (aOR = 0.55; p = 0.011) compared with males not on ARBs or ACE inhibitors. No significant effects were observed in females for these outcomes. The test for interaction was significant for use of ventilation ( p = 0.006) and vasopressors ( p = 0.044) indicating significantly different responses to ARBs according to sex. Males had significantly higher plasma ACE-1 at baseline and angiotensin II at day 7 and 14 than females. CONCLUSIONS: ARBs use was associated with less ventilation and vasopressors in males but not females. Sex-based differences in RAS dysregulation may contribute to sex-based differences in outcomes and responses to ARBs in COVID-19.

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study.

BACKGROUND: Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). METHODS: This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. RESULTS: A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83-7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97-2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14-1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25-1.30]). CONCLUSIONS: In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. Trial registration This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable.

Early short course of neuromuscular blocking agents in patients with COVID-19 ARDS: a propensity score analysis.

BACKGROUND: The role of neuromuscular blocking agents (NMBAs) in coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS) is not fully elucidated. Therefore, we aimed to investigate in COVID-19 patients with moderate-to-severe ARDS the impact of early use of NMBAs on 90-day mortality, through propensity score (PS) matching analysis. METHODS: We analyzed a convenience sample of patients with COVID-19 and moderate-to-severe ARDS, admitted to 244 intensive care units within the COVID-19 Critical Care Consortium, from February 1, 2020, through October 31, 2021. Patients undergoing at least 2 days and up to 3 consecutive days of NMBAs (NMBA treatment), within 48 h from commencement of IMV were compared with subjects who did not receive NMBAs or only upon commencement of IMV (control). The primary objective in the PS-matched cohort was comparison between groups in 90-day in-hospital mortality, assessed through Cox proportional hazard modeling. Secondary objectives were comparisons in the numbers of ventilator-free days (VFD) between day 1 and day 28 and between day 1 and 90 through competing risk regression. RESULTS: Data from 1953 patients were included. After propensity score matching, 210 cases from each group were well matched. In the PS-matched cohort, mean (± SD) age was 60.3 ± 13.2 years and 296 (70.5%) were male and the most common comorbidities were hypertension (56.9%), obesity (41.1%), and diabetes (30.0%). The unadjusted hazard ratio (HR) for death at 90 days in the NMBA treatment vs control group was 1.12 (95% CI 0.79, 1.59, p = 0.534). After adjustment for smoking habit and critical therapeutic covariates, the HR was 1.07 (95% CI 0.72, 1.61, p = 0.729). At 28 days, VFD were 16 (IQR 0-25) and 25 (IQR 7-26) in the NMBA treatment and control groups, respectively (sub-hazard ratio 0.82, 95% CI 0.67, 1.00, p = 0.055). At 90 days, VFD were 77 (IQR 0-87) and 87 (IQR 0-88) (sub-hazard ratio 0.86 (95% CI 0.69, 1.07; p = 0.177). CONCLUSIONS: In patients with COVID-19 and moderate-to-severe ARDS, short course of NMBA treatment, applied early, did not significantly improve 90-day mortality and VFD. In the absence of definitive data from clinical trials, NMBAs should be indicated cautiously in this setting.

Prediction Model Performance With Different Imputation Strategies: A Simulation Study Using a North American ICU Registry.

OBJECTIVES: To evaluate the performance of pragmatic imputation approaches when estimating model coefficients using datasets with varying degrees of data missingness. DESIGN: Performance in predicting observed mortality in a registry dataset was evaluated using simulations of two simple logistic regression models with age-specific criteria for abnormal vital signs (mentation, systolic blood pressure, respiratory rate, WBC count, heart rate, and temperature). Starting with a dataset with complete information, increasing degrees of biased missingness of WBC and mentation were introduced, depending on the values of temperature and systolic blood pressure, respectively. Missing data approaches evaluated included analysis of complete cases only, assuming missing data are normal, and multiple imputation by chained equations. Percent bias and root mean square error, in relation to parameter estimates obtained from the original data, were evaluated as performance indicators. SETTING: Data were obtained from the Virtual Pediatric Systems, LLC, database (Los Angeles, CA), which provides clinical markers and outcomes in prospectively collected records from 117 PICUs in the United States and Canada. PATIENTS: Children admitted to a participating PICU in 2017, for whom all required data were available. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Simulations demonstrated that multiple imputation by chained equations is an effective strategy and that even a naive implementation of multiple imputation by chained equations significantly outperforms traditional approaches: the root mean square error for model coefficients was lower using multiple imputation by chained equations in 90 of 99 of all simulations (91%) compared with discarding cases with missing data and lower in 97 of 99 (98%) compared with models assuming missing values are in the normal range. Assuming missing data to be abnormal was inferior to all other approaches. CONCLUSIONS: Analyses of large observational studies are likely to encounter the issue of missing data, which are likely not missing at random. Researchers should always consider multiple imputation by chained equations (or similar imputation approaches) when encountering even only small proportions of missing data in their work.

Antimicrobial treatment duration for uncomplicated bloodstream infections in critically ill children: a multicentre observational study.

BACKGROUND: Bloodstream infections (BSIs) cause significant morbidity and mortality in critically ill children but treatment duration is understudied. We describe the durations of antimicrobial treatment that critically ill children receive and explore factors associated with treatment duration. METHODS: We conducted a retrospective observational cohort study in six pediatric intensive care units (PICUs) across Canada. Associations between treatment duration and patient-, infection- and pathogen-related characteristics were explored using multivariable regression analyses. RESULTS: Among 187 critically ill children with BSIs, the median duration of antimicrobial treatment was 15 (IQR 11-25) days. Median treatment durations were longer than two weeks for all subjects with known sources of infection: catheter-related 16 (IQR 11-24), respiratory 15 (IQR 11-26), intra-abdominal 20 (IQR 14-26), skin/soft tissue 17 (IQR 15-33), urinary 17 (IQR 15-35), central nervous system 33 (IQR 15-46) and other sources 29.5 (IQR 15-55) days. When sources of infection were unclear, the median duration was 13 (IQR 10-16) days. Treatment durations varied widely within and across PICUs. In multivariable linear regression, longer treatment durations were associated with severity of illness (+ 0.4 days longer [95% confidence interval (CI), 0.1 to 0.7, p = 0.007] per unit increase in PRISM-IV) and central nervous system infection (+ 17 days [95% CI, 6.7 to 27.4], p = 0.001). Age and pathogen type were not associated with treatment duration. CONCLUSIONS: Most critically ill children with BSIs received at least two weeks of antimicrobial treatment. Further study is needed to determine whether shorter duration therapy would be effective for selected critically ill children.

How to Use and Interpret the Results of a Platform Trial: Users' Guide to the Medical Literature.

Platform trials are a type of randomized clinical trial that allow simultaneous comparison of multiple intervention groups against a single control group that serves as a common control based on a prespecified interim analysis plan. The platform trial design enables introduction of new interventions after the trial is initiated to evaluate multiple interventions in an ongoing manner using a single overarching protocol called a master (or core) protocol. When multiple treatment candidates are available, rapid scientific therapeutic discoveries may be made. Platform trials have important potential advantages in creating an efficient trial infrastructure that can help address critical clinical questions as the evidence evolves. Platform trials have recently been used in investigations of evolving therapies for patients with COVID-19. The purpose of this Users' Guide to the Medical Literature is to describe fundamental concepts of platform trials and master protocols and review issues in the conduct and interpretation of these studies. This Users' Guide is intended to help clinicians and readers understand articles reporting on interventions evaluated using platform trial designs.