mRNA-1273 boost after BNT162b2 vaccination generates comparable SARS-CoV-2-specific functional responses in naïve and COVID-19-recovered individuals.

Introduction: COVID-19 vaccines based on mRNA have represented a revolution in the biomedical research field. The initial two-dose vaccination schedule generates potent humoral and cellular responses, with a massive protective effect against severe COVID-19 and death. Months after this vaccination, levels of antibodies against SARS-CoV-2 waned, and this promoted the recommendation of a third vaccination dose. Methods: We have performed an integral and longitudinal study of the immunological responses triggered by the booster mRNA-1273 vaccination, in a cohort of health workers previously vaccinated with two doses of the BNT162b2 vaccine at University Hospital La Paz located in Madrid, Spain. Circulating humoral responses and SARS-CoV-2-specific cellular reactions, after ex vivo restimulation of both T and B cells (cytokines production, proliferation, class switching), have been analyzed. Importantly, all along these studies, the analyses have been performed comparing naïve and subjects recovered from COVID-19, addressing the influence of a previous infection by SARS-CoV-2. Furthermore, as the injection of the third vaccination dose was contemporary to the rise of the Omicron BA.1 variant of concern, T- and B-cell-mediated cellular responses have been comparatively analyzed in response to this variant. Results: All these analyses indicated that differential responses to vaccination due to a previous SARS-CoV-2 infection were balanced following the boost. The increase in circulating humoral responses due to this booster dropped after 6 months, whereas T-cell-mediated responses were more stable along the time. Finally, all the analyzed immunological features were dampened in response to the Omicron variant of concern, particularly late after the booster vaccination. Conclusion: This work represents a follow-up longitudinal study for almost 1.5 years, analyzing in an integral manner the immunological responses triggered by the prime-boost mRNA-based vaccination schedule against COVID-19.

An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients.

Background: Whilst timely clinical characterisation of infections caused by novel SARS-CoV-2 variants is necessary for evidence-based policy response, individual-level data on infecting variants are typically only available for a minority of patients and settings. Methods: Here, we propose an innovative approach to study changes in COVID-19 hospital presentation and outcomes after the Omicron variant emergence using publicly available population-level data on variant relative frequency to infer SARS-CoV-2 variants likely responsible for clinical cases. We apply this method to data collected by a large international clinical consortium before and after the emergence of the Omicron variant in different countries. Results: Our analysis, that includes more than 100,000 patients from 28 countries, suggests that in many settings patients hospitalised with Omicron variant infection less often presented with commonly reported symptoms compared to patients infected with pre-Omicron variants. Patients with COVID-19 admitted to hospital after Omicron variant emergence had lower mortality compared to patients admitted during the period when Omicron variant was responsible for only a minority of infections (odds ratio in a mixed-effects logistic regression adjusted for likely confounders, 0.67 [95% confidence interval 0.61-0.75]). Qualitatively similar findings were observed in sensitivity analyses with different assumptions on population-level Omicron variant relative frequencies, and in analyses using available individual-level data on infecting variant for a subset of the study population. Conclusions: Although clinical studies with matching viral genomic information should remain a priority, our approach combining publicly available data on variant frequency and a multi-country clinical characterisation dataset with more than 100,000 records allowed analysis of data from a wide range of settings and novel insights on real-world heterogeneity of COVID-19 presentation and clinical outcome. Funding: Bronner P. Gonçalves, Peter Horby, Gail Carson, Piero L. Olliaro, Valeria Balan, Barbara Wanjiru Citarella, and research costs were supported by the UK Foreign, Commonwealth and Development Office (FCDO) and Wellcome [215091/Z/18/Z, 222410/Z/21/Z, 225288/Z/22/Z]; and Janice Caoili and Madiha Hashmi were supported by the UK FCDO and Wellcome [222048/Z/20/Z]. Peter Horby, Gail Carson, Piero L. Olliaro, Kalynn Kennon and Joaquin Baruch were supported by the Bill & Melinda Gates Foundation [OPP1209135]; Laura Merson was supported by University of Oxford's COVID-19 Research Response Fund - with thanks to its donors for their philanthropic support. Matthew Hall was supported by a Li Ka Shing Foundation award to Christophe Fraser. Moritz U.G. Kraemer was supported by the Branco Weiss Fellowship, Google.org, the Oxford Martin School, the Rockefeller Foundation, and the European Union Horizon 2020 project MOOD (#874850). The contents of this publication are the sole responsibility of the authors and do not necessarily reflect the views of the European Commission. Contributions from Srinivas Murthy, Asgar Rishu, Rob Fowler, James Joshua Douglas, François Martin Carrier were supported by CIHR Coronavirus Rapid Research Funding Opportunity OV2170359 and coordinated out of Sunnybrook Research Institute. Contributions from Evert-Jan Wils and David S.Y. Ong were supported by a grant from foundation Bevordering Onderzoek Franciscus; and Andrea Angheben by the Italian Ministry of Health "Fondi Ricerca corrente-L1P6" to IRCCS Ospedale Sacro Cuore-Don Calabria. The data contributions of J.Kenneth Baillie, Malcolm G. Semple, and Ewen M. Harrison were supported by grants from the National Institute for Health Research (NIHR; award CO-CIN-01), the Medical Research Council (MRC; grant MC_PC_19059), and by the NIHR Health Protection Research Unit (HPRU) in Emerging and Zoonotic Infections at University of Liverpool in partnership with Public Health England (PHE) (award 200907), NIHR HPRU in Respiratory Infections at Imperial College London with PHE (award 200927), Liverpool Experimental Cancer Medicine Centre (grant C18616/A25153), NIHR Biomedical Research Centre at Imperial College London (award IS-BRC-1215-20013), and NIHR Clinical Research Network providing infrastructure support. All funders of the ISARIC Clinical Characterisation Group are listed in the appendix.

Differential Immune Checkpoint and Ig-like V-Type Receptor Profiles in COVID-19: Associations with Severity and Treatment.

Identifying patients' immune system status has become critical to managing SARS-CoV-2 infection and avoiding the appearance of secondary infections during a hospital stay. Despite the high volume of research, robust severity and outcome markers are still lacking in COVID-19. We recruited 87 COVID-19 patients and analyzed, by unbiased automated software, 356 parameters at baseline emergency department admission including: high depth immune phenotyping and immune checkpoint expression by spectral flow cytometry, cytokines and other soluble molecules in plasma as well as routine clinical variables. We identified 69 baseline alterations in the expression of immune checkpoints, Ig-like V type receptors and other immune population markers associated with severity (O2 requirement). Thirty-four changes in these markers/populations were associated with secondary infection appearance. In addition, through a longitudinal sample collection, we described the changes which take place in the immune system of COVID-19 patients during secondary infections and in response to corticosteroid treatment. Our study provides information about immune checkpoint molecules and other less-studied receptors with Ig-like V-type domains such as CD108, CD226, HVEM (CD270), B7H3 (CD276), B7H5 (VISTA) and GITR (CD357), defining these as novel interesting molecules in severe and corticosteroids-treated acute infections.

Cellular and humoral functional responses after BNT162b2 mRNA vaccination differ longitudinally between naive and subjects recovered from COVID-19.

We have analyzed BNT162b2 vaccine-induced immune responses in naive subjects and individuals recovered from coronavirus disease 2019 (COVID-19), both soon after (14 days) and later after (almost 8 months) vaccination. Plasma spike (S)-specific immunoglobulins peak after one vaccine shot in individuals recovered from COVID-19, while a second dose is needed in naive subjects, although the latter group shows reduced levels all along the analyzed period. Despite how the neutralization capacity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mirrors this behavior early after vaccination, both groups show comparable neutralizing antibodies and S-specific B cell levels late post-vaccination. When studying cellular responses, naive individuals exhibit higher SARS-CoV-2-specific cytokine production, CD4+ T cell activation, and proliferation than do individuals recovered from COVID-19, with patent inverse correlations between humoral and cellular variables early post-vaccination. However, almost 8 months post-vaccination, SARS-CoV-2-specific responses are comparable between both groups. Our data indicate that a previous history of COVID-19 differentially determines the functional T and B cell-mediated responses to BNT162b2 vaccination over time.

Molnupiravir for Oral Treatment of Covid-19 in Nonhospitalized Patients.

BACKGROUND: New treatments are needed to reduce the risk of progression of coronavirus disease 2019 (Covid-19). Molnupiravir is an oral, small-molecule antiviral prodrug that is active against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS: We conducted a phase 3, double-blind, randomized, placebo-controlled trial to evaluate the efficacy and safety of treatment with molnupiravir started within 5 days after the onset of signs or symptoms in nonhospitalized, unvaccinated adults with mild-to-moderate, laboratory-confirmed Covid-19 and at least one risk factor for severe Covid-19 illness. Participants in the trial were randomly assigned to receive 800 mg of molnupiravir or placebo twice daily for 5 days. The primary efficacy end point was the incidence hospitalization or death at day 29; the incidence of adverse events was the primary safety end point. A planned interim analysis was performed when 50% of 1550 participants (target enrollment) had been followed through day 29. RESULTS: A total of 1433 participants underwent randomization; 716 were assigned to receive molnupiravir and 717 to receive placebo. With the exception of an imbalance in sex, baseline characteristics were similar in the two groups. The superiority of molnupiravir was demonstrated at the interim analysis; the risk of hospitalization for any cause or death through day 29 was lower with molnupiravir (28 of 385 participants [7.3%]) than with placebo (53 of 377 [14.1%]) (difference, -6.8 percentage points; 95% confidence interval [CI], -11.3 to -2.4; P = 0.001). In the analysis of all participants who had undergone randomization, the percentage of participants who were hospitalized or died through day 29 was lower in the molnupiravir group than in the placebo group (6.8% [48 of 709] vs. 9.7% [68 of 699]; difference, -3.0 percentage points; 95% CI, -5.9 to -0.1). Results of subgroup analyses were largely consistent with these overall results; in some subgroups, such as patients with evidence of previous SARS-CoV-2 infection, those with low baseline viral load, and those with diabetes, the point estimate for the difference favored placebo. One death was reported in the molnupiravir group and 9 were reported in the placebo group through day 29. Adverse events were reported in 216 of 710 participants (30.4%) in the molnupiravir group and 231 of 701 (33.0%) in the placebo group. CONCLUSIONS: Early treatment with molnupiravir reduced the risk of hospitalization or death in at-risk, unvaccinated adults with Covid-19. (Funded by Merck Sharp and Dohme; MOVe-OUT ClinicalTrials.gov number, NCT04575597.).

SARS-CoV-2 Proteins Induce Endotoxin Tolerance Hallmarks: A Demonstration in Patients with COVID-19.

According to a large number of reported cohorts, sepsis has been observed in nearly all deceased patients with COVID-19. We and others have described sepsis, among other pathologies, to be an endotoxin tolerance (ET)-related disease. In this study, we demonstrate that the culture of human blood cells from healthy volunteers in the presence of SARS-CoV-2 proteins induced ET hallmarks, including impairment of proinflammatory cytokine production, low MHC class II (HLA-DR) expression, poor T cell proliferation, and enhancing of both phagocytosis and tissue remodeling. Moreover, we report the presence of SARS-CoV-2 blood circulating proteins in patients with COVID-19 and how these levels correlate with an ET status, the viral RNA presence of SARS-CoV-2 in plasma, as well as with an increase in the proportion of patients with secondary infections.

Potential Role of the Galectin-9/TIM-3 Axis in the Disparate Progression of SARS-CoV-2 in a Married Couple: A Case Report.

We report the disparate clinical progression of a couple infected by SARS-CoV-2 based on their immune checkpoint (IC) levels and immune cell distribution in blood from admission to exitus in patient 1 and from admission to discharge and recovery in patient 2. A detailed clinical follow-up accompanied by a longitudinal analysis of immune phenotypes and IC levels is shown. The continuous increase in the soluble IC ligand galectin-9 (Gal-9) and the increment in T-cell immunoglobulin and mucin domain-containing 3 (TIM-3) protein in T cells in patient 1 suggests an activation of the Gal-9/TIM-3 axis and, subsequently, a potential cell exhaustion in this patient that did not occur in patient 2. Our data indicate that the Gal-9/TIM-3 axis could be a potential target in this clinical setting, along with a patent effector memory T-cell reduction.

Proteins from SARS-CoV-2 reduce T cell proliferation: A mirror image of sepsis.

Increased cytokine levels, acute phase reactants and immune checkpoint expression changes have been described in patients with Coronavirus Disease 2019 (COVID-19). Here, we have reported a monocyte polarization towards a low HLA-DR and high PD-L1 expression after long exposure to proteins from SARS-CoV-2. Moreover, CD86 expression was also reduced over SARS-CoV-2 proteins exposure. Additionally, T-cells proliferation was significantly reduced after stimulation with these proteins. Eventually, patients with long-term SARS-CoV-2 infection also exhibited a significant blockade of T-cells proliferation.

Immune Response and COVID-19: A mirror image of Sepsis.

The emergence of SARS-CoV-2 virus and its associated disease COVID-19 have triggered significant threats to public health, in addition to political and social changes. An important number of studies have reported the onset of symptoms compatible with pneumonia accompanied by coagulopathy and lymphocytopenia during COVID-19. Increased cytokine levels, the emergence of acute phase reactants, platelet activation and immune checkpoint expression are some of the biomarkers postulated in this context. As previously observed in prolonged sepsis, T-cell exhaustion due to SARS-CoV-2 and even their reduction in numbers due to apoptosis hinder the response to the infection. In this review, we synthesized the immune changes observed during COVID-19, the role of immune molecules as severity markers for patient stratification and their associated therapeutic options.

Analysis of clinical characteristics and outcomes in patients with COVID-19 based on a series of 1000 patients treated in Spanish emergency departments

OBJECTIVES: To describe the clinical characteristics of patients with coronavirus disease 2019 (COVID-19) treated in hospital emergency departments (EDs) in Spain, and to assess associations between characteristics and outcomes. MATERIAL AND METHODS: Prospective, multicenter, nested-cohort study. Sixty-one EDs included a random sample of all patients diagnosed with COVID-19 between March 1 and April 30, 2020. Demographic and baseline health information, including concomitant conditions;clinical characteristics related to the ED visit and complementary test results;and treatments were recorded throughout the episode in the ED. We calculated crude and adjusted odds ratios for risk of in-hospital death and a composite outcome consisting of the following events: intensive care unit admission, orotracheal intubation or mechanical ventilation, or in-hospital death. The logistic regression models were constructed with 3 groups of independent variables: the demographic and baseline health characteristics, clinical characteristics and complementary test results related to the ED episode, and treatments. RESULTS: The mean (SD) age of patients was 62 (18) years. Most had high- or low-grade fever, dry cough, dyspnea, and diarrhea. The most common concomitant conditions were cardiovascular diseases, followed by respiratory diseases and cancer. Baseline patient characteristics that showed a direct and independent association with worse outcome (death and the composite outcome) were age and obesity. Clinical variables directly associated with worse outcomes were impaired consciousness and pulmonary crackles;headache was inversely associated with worse outcomes. Complementary test findings that were directly associated with outcomes were bilateral lung infiltrates, lymphopenia, a high platelet count, a D-dimer concentration over 500 mg/dL, and a lactate-dehydrogenase concentration over 250 IU/L in blood. CONCLUSION: This profile of the clinical characteristics and comorbidity of patients with COVID-19 treated in EDs helps us predict outcomes and identify cases at risk of exacerbation. The information can facilitate preventive measures and improve outcomes. OBJETIVO: Describir las caracteristicas clinicas de los pacientes con COVID-19 atendidos en los servicios de urgencias hospitalarios (SUH) espanoles y evaluar su asociacion con los resultados de su evolucion. METODO: Estudio multicentrico, anidado en una cohorte prospectiva. Participaron 61 SUH que incluyeron pacientes seleccionados aleatoriamente de todos los diagnosticados de COVID-19 entre el 1 de marzo y el 30 de abril de 2020. Se recogieron caracteristicas basales, clinicas, de exploraciones complementarias y terapeuticas del episodio en los SUH. Se calcularon las odds ratio (OR) asociadas a la mortalidad intrahospitalaria y al evento combinado formado por el ingreso en unidad de cuidados intensivos (UCI), la intubacion orotraqueal o ventilacion mecanica invasiva (IOT/ VMI), crudas y ajustadas con modelos de regresion logistica para tres grupos de variables independientes: basales, clinicas y de exploraciones complementarias. RESULTADOS: La edad media fue de 62 anos (DE 18). La mayoria manifestaron fiebre, tos seca, disnea, febricula y diarrea. Las comorbilidades mas frecuentes fueron las enfermedades cardiovasculares, seguidas de las respiratorias y el cancer. Las variables basales que se asociaron independientemente y de forma directa a peores resultados evolutivos (tanto a mortalidad como a evento combinado) fueron edad y obesidad;las variables clinicas fueron disminucion de consciencia y crepitantes a la auscultacion pulmonar, y de forma inversa cefalea;y las variables de resultados de exploraciones complementarias fueron infiltrados pulmonares bilaterales y cardiomegalia radiologicos, y linfopenia, hiperplaquetosis, dimero-D > 500 mg/dL y lactato-deshidrogenasa > 250 UI/L en la analitica. CONCLUSIONES: Conocer las caracteristicas clinicas y la comorbilidad de los pacientes con COVID-19 atendidos en urgencias permite identificar precozmente a la poblacion as susce tible de empeorar, para prever y mejorar los resultados.

Evaluación de las características clínicas y evolución de pacientes con COVID-19 a partir de una serie de 1000 pacientes atendidos en servicios de urgencias españoles

OBJETIVO: Describir las características clínicas de los pacientes con COVID-19 atendidos en los servicios de urgencias hospitalarios (SUH) españoles y evaluar su asociación con los resultados de su evolución. MÉTODOS: Estudio multicéntrico, anidado en una cohorte prospectiva. Participaron 61 SUH que incluyeron pacientes seleccionados aleatoriamente de todos los diagnosticados de COVID-19 entre el 1 de marzo y el 30 de abril de 2020. Se recogieron características basales, clínicas, de exploraciones complementarias y terapéuticas del episodio en los SUH. Se calcularon las odds ratio (OR) asociadas a la mortalidad intrahospitalaria y al evento combinado formado por el ingreso en unidad de cuidados intensivos (UCI), la intubación orotraqueal o ventilación mecánica invasiva (IOT/ VMI), crudas y ajustadas con modelos de regresión logística para tres grupos de variables independientes: basales, clínicas y de exploraciones complementarias. RESULTADOS: La edad media fue de 62 años (DE 18). La mayoría manifestaron fiebre, tos seca, disnea, febrícula y diarrea. Las comorbilidades más frecuentes fueron las enfermedades cardiovasculares, seguidas de las respiratorias y el cáncer. Las variables basales que se asociaron independientemente y de forma directa a peores resultados evolutivos (tanto a mortalidad como a evento combinado) fueron edad y obesidad;las variables clínicas fueron disminución de consciencia y crepitantes a la auscultación pulmonar, y de forma inversa cefalea;y las variables de resultados de exploraciones complementarias fueron infiltrados pulmonares bilaterales y cardiomegalia radiológicos, y linfopenia, hiperplaquetosis, dímero-D >500 mg/dL y lactato-deshidrogenasa >250 UI/L en la analítica. CONCLUSIONES: Conocer las características clínicas y la comorbilidad de los pacientes con COVID-19 atendidos en urgencias permite identificar precozmente a la población más susceptible de empeorar, para prever y mejorar los resultados OBJECTIVES: To describe the clinical characteristics of patients with coronavirus disease 2019 (COVID-19) treated in hospital emergency departments (EDs) in Spain, and to assess associations between characteristics and outcomes. METHODS: Prospective, multicenter, nested-cohort study. Sixty-one EDs included a random sample of all patients diagnosed with COVID-19 between March 1 and April 30, 2020. Demographic and baseline health information, including concomitant conditions;clinical characteristics related to the ED visit and complementary test results;and treatments were recorded throughout the episode in the ED. We calculated crude and adjusted odds ratios for risk of in-hospital death and a composite outcome consisting of the following events: intensive care unit admission, orotracheal intubation or mechanical ventilation, or in-hospital death. The logistic regression models were constructed with 3 groups of independent variables: the demographic and baseline health characteristics, clinical characteristics and complementary test results related to the ED episode, and treatments. RESULTS: The mean (SD) age of patients was 62 (18) years. Most had high- or low-grade fever, dry cough, dyspnea, and diarrhea. The most common concomitant conditions were cardiovascular diseases, followed by respiratory diseases and cancer. Baseline patient characteristics that showed a direct and independent association with worse outcome (death and the composite outcome) were age and obesity. Clinical variables directly associated with worse outcomes were impaired consciousness and pulmonary crackles;headache was inversely associated with worse outcomes. Complementary test findings that were directly associated with outcomes were bilateral lung infiltrates, lymphopenia, a high platelet count, a D-dimer concentration over 500 mg/dL, and a lactate-dehydrogenase concentration over 250 IU/L in blood. CONCLUSION: This profile of the clinical characteristics and comorbidity of patients with COVID-19 treated in EDs helps us predict outcomes and identify cases at risk of exac rbation. The information can facilitate preventive measures and improve outcomes

A Cohort of Patients with COVID-19 in a Major Teaching Hospital in Europe.

BACKGROUND: Since the confirmation of the first patient infected with SARS-CoV-2 in Spain in January 2020, the epidemic has grown rapidly, with the greatest impact on the region of Madrid. This article describes the first 2226 adult patients with COVID-19, consecutively admitted to La Paz University Hospital in Madrid. METHODS: Our cohort included all patients consecutively hospitalized who had a final outcome (death or discharge) in a 1286-bed hospital of Madrid (Spain) from 25 February (first case admitted) to 19 April 2020. The data were manually entered into an electronic case report form, which was monitored prior to the analysis. RESULTS: We consecutively included 2226 adult patients admitted to the hospital who either died (460) or were discharged (1766). The patients' median age was 61 years, and 51.8% were women. The most common comorbidity was arterial hypertension (41.3%), and the most common symptom on admission was fever (71.2%). The median time from disease onset to hospital admission was 6 days. The overall mortality was 20.7% and was higher in men (26.6% vs. 15.1%). Seventy-five patients with a final outcome were transferred to the intensive care unit (ICU) (3.4%). Most patients admitted to the ICU were men, and the median age was 64 years. Baseline laboratory values on admission were consistent with an impaired immune-inflammatory profile. CONCLUSIONS: We provide a description of the first large cohort of hospitalized patients with COVID-19 in Europe. Advanced age, male sex, the presence of comorbidities and abnormal laboratory values were more common among the patients with fatal outcomes.

COVID-19: Key Concepts for the Surgeon. / COVID-19: conceptos clave para el cirujano.

In view of the current pandemic by SARS-CoV-2 it deems essential to understand the key concepts about the infection: its epidemiological origin, presentation, clinical course, diagnosis and treatment (still experimental in many cases). The knowledge about the virus is still limited, but as the pandemic progresses and the physiopathology of the disease is understood, new evidence is being massively published. Surgical specialists are facing an unprecedented situation: they must collaborate in the ER or medical wards attending these patients, while still needing to make decisions about surgical patients with probable COVID-19. The present narrative review aims to summarize the most relevant aspects and synthetize concepts on COVID-19 for surgeons.