0000000000934940

AUTHOR

Max O'donnell

showing 2 related works from this author

Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19

2023

Abstract Background We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients. Methods The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admiss…

MaleEpidemiologyMESH: HospitalizationMESH: Proportional Hazards ModelsMESH: Risk FactorsRisk FactorsMESH: Childcohort studyMESH: COVID-19HumansMESH: SARS-CoV-2ChildProportional Hazards ModelsMESH: HumansMESH: Middle AgedSARS-CoV-2COVID-19risk of deathGeneral MedicineMiddle AgedCOVID-19; SARS-CoV-2; co-morbidities; cohort study; risk of death; symptoms; treatmentsMESH: MaleHospitalizationIntensive Care Unitsco-morbiditiestreatmentssymptomsMESH: Intensive Care Units[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieCOVID-19/therapy
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The value of open-source clinical science in pandemic response

2021

International audience

Biomedical Research[SDV]Life Sciences [q-bio]Clinical scienceGlobal HealthCorrectionsMicrobiology1117 Public Health and Health Services1108 Medical MicrobiologyPandemicEconomicsHumansISARIC Clinical Characterisation GroupPandemicsCOVID-19/epidemiologyActuarial scienceInformation DisseminationSARS-CoV-2CommentISARICCOVID-191103 Clinical SciencesCommunicable Disease Control/methodsInfectious DiseasesOpen sourceCommunicable Disease ControlCOVID-19; Communicable Disease Control; Global Health; Humans; SARS-CoV-2; Biomedical Research; Information Dissemination; PandemicsValue (mathematics)HumanThe Lancet Infectious Diseases
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