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An international characterisation of patients hospitalised with COVID-19 and a comparison with those previously hospitalised with influenza.

ABSTRACT: Background:To better understand the profile of individuals with severe coronavirus disease 2019 (COVID-19), we characterised individuals hospitalised with COVID-19 and compared them to individuals previously hospitalised with influenza. Methods:We report the characteristics (demographics, prior conditions and medication use) of patients hospitalised with COVID-19 between December 2019 and April 2020 in the US (Columbia University Irving Medical Center [CUIMC], STAnford Medicine Research data Repository [STARR-OMOP], and the Department of Veterans Affairs [VA OMOP]) and Health Insurance Review & Assessment [HIRA] of South Korea. Patients hospitalised with COVID-19 were compared with patients previously hospitalised with influenza in 2014-19. Results:6,806 (US: 1,634, South Korea: 5,172) individuals hospitalised with COVID-19 were included. Patients in the US were majority male (VA OMOP: 94%, STARR-OMOP: 57%, CUIMC: 52%), but were majority female in HIRA (56%). Age profiles varied across data sources. Prevalence of asthma ranged from 7% to 14%, diabetes from 18% to 43%, and hypertensive disorder from 22% to 70% across data sources, while between 9% and 39% were taking drugs acting on the renin-angiotensin system in the 30 days prior to their hospitalisation. Compared to 52,422 individuals hospitalised with influenza, patients admitted with COVID-19 were more likely male, younger, and, in the US, had fewer comorbidities and lower medication use. Conclusions:Rates of comorbidities and medication use are high among individuals hospitalised with COVID-19. However, COVID-19 patients are more likely to be male and appear to be younger and, in the US, generally healthier than those typically admitted with influenza.

SUBMITTER: Burn E

PROVIDER: S-EPMC7239064 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Deep phenotyping of 34,128 patients hospitalised with COVID-19 and a comparison with 81,596 influenza patients in America, Europe and Asia: an international network study.

Burn Edward E You Seng Chan SC Sena Anthony A Kostka Kristin K Abedtash Hamed H Abrahao Maria Tereza F MTF Alberga Amanda A Alghoul Heba H Alser Osaid O Alshammari Thamir M TM Aragon Maria M Areia Carlos C Banda Juan M JM Cho Jaehyeong J Culhane Aedin C AC Davydov Alexander A DeFalco Frank J FJ Duarte-Salles Talita T DuVall Scott L SL Falconer Thomas T Fernandez-Bertolin Sergio S Gao Weihua W Golozar Asieh A Hardin Jill J Hripcsak George G Huser Vojtech V Jeon Hokyun H Jing Yonghua Y Jung Chi Young CY Kaas-Hansen Benjamin Skov BS Kaduk Denys D Kent Seamus S Kim Yeesuk Y Kolovos Spyros S Lane Jennifer J Lee Hyejin H Lynch Kristine E KE Makadia Rupa R Matheny Michael E ME Mehta Paras P Morales Daniel R DR Natarajan Karthik K Nyberg Fredrik F Ostropolets Anna A Park Rae Woong RW Park Jimyung J Posada Jose D JD Prats-Uribe Albert A Rao Gowtham A GA Reich Christian C Rho Yeunsook Y Rijnbeek Peter P Schilling Lisa M LM Schuemie Martijn M Shah Nigam H NH Shoaibi Azza A Song Seokyoung S Spotnitz Matthew M Suchard Marc A MA Swerdel Joel J Vizcaya David D Volpe Salvatore S Wen Haini H Williams Andrew E AE Yimer Belay B BB Zhang Lin L Zhuk Oleg O Prieto-Alhambra Daniel D Ryan Patrick P

medRxiv : the preprint server for health sciences 20200628

Background In this study we phenotyped individuals hospitalised with coronavirus disease 2019 (COVID-19) in depth, summarising entire medical histories, including medications, as captured in routinely collected data drawn from databases across three continents. We then compared individuals hospitalised with COVID-19 to those previously hospitalised with influenza. Methods We report demographics, previously recorded conditions and medication use of patients hospitalised with COVID-19 in the US (C ...[more]

PMID: 32511443

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Project description:The worldwide COVID-19 pandemic has claimed millions of lives and has had a profound effect on global life. Understanding the body's immune response to SARS-CoV-2 infection is crucial in improving patient management and prognosis. In this study we compared influenza and SARS-CoV-2 infected patient cohorts to identify distinct blood transcript abundances and cellular composition to better understand the natural immune response associated with COVID-19, compared to another viral infection being influenza, and identify a prognostic signature of COVID-19 patient outcome. Clinical characteristics and peripheral blood were acquired upon hospital admission from two well characterised cohorts, a cohort of 88 patients infected with influenza and a cohort of 80 patients infected with SARS-CoV-2 during the first wave of the pandemic and prior to availability of COVID-19 treatments and vaccines. Gene transcript abundances, enriched pathways and cellular composition were compared between cohorts using RNA-seq. A genetic signature between COVID-19 survivors and non-survivors was assessed as a prognostic predictor of COVID-19 outcome. Contrasting immune responses were detected with an innate response elevated in influenza and an adaptive response elevated in COVID-19. Additionally ribosomal, mitochondrial oxidative stress and interferon signalling pathways differentiated the cohorts. An adaptive immune response was associated with COVID-19 survival, while an inflammatory response predicted death. A prognostic transcript signature, associated with circulating immunoglobulins, nucleosome assembly, cytokine production and T cell activation, was able to stratify COVID-19 patients likely to survive or die. This study provides a unique insight into the immune responses of treatment naïve patients with influenza or COVID-19. The comparison of immune response between COVID-19 survivors and non-survivors enables prognostication of COVID-19 patients and may suggest potential therapeutic strategies to improve survival.

Dataset Information

An international characterisation of patients hospitalised with COVID-19 and a comparison with those previously hospitalised with influenza.

Publications

Deep phenotyping of 34,128 patients hospitalised with COVID-19 and a comparison with 81,596 influenza patients in America, Europe and Asia: an international network study.

Similar Datasets

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