COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≤ 18 years: 69, 48, 23; 85%), older adults (≥ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P < 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

L’expérience du deuil chez les migrants centraméricains en transit au Mexique

International audienceMexico has become a crucial crossing point for migratory flows ofCentral American migrants who use it as a way to enter the United States. Integratingcontributions from social psychology and sociology, we focus on a sector of thispopulation that is in a situation of extreme vulnerability. We carried out ten in-depthinterviews with migrants who had to deal with grief as a result of the loss of a lovedone within the close family circle while in transit through Mexico. After analyzingtheir coping strategies for mourning and the importance of social support networks,we observe that there is an association between migrants’ social capital and theircapacity for resilience. Our study offers empirical evidence that can serve as a basisfor further research related to issues of death and migration.Le Mexique est un point de passage obligé pour les migrants centraméricains ensituation irrégulière qui tentent d’atteindre les États-Unis. En intégrant descontributions de la psychologie sociale et de la sociologie, notre étude exploratoire seconcentre sur un sous-groupe extrêmement vulnérable de cette population. Nousavons mené dix entretiens en profondeur avec des migrants qui ont vécu le deuil d’unêtre cher du premier cercle familial pendant leur transit au Mexique. Après avoiranalysé leurs stratégies d’adaptation au deuil et l’importance des réseaux de soutiensocial, nous avons observé une association entre le capital social des migrants et leurcapacité de résilience. Ce travail fournit des informations qui peuvent servir de basepour de plus amples recherches liées au thème de la mort en contexte de mobilité

The value of open-source clinical science in pandemic response: lessons from ISARIC

International audienc

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use