Login / Signup

Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS.

Daniel Prieto AlhambraKristin KostkaTalita Duarte-SallesAlbert Prats-UribeAnthony G SenaAndrea PistilloSara KhalidLana LaiAsieh GolozarThamir M AlshammariDalia DawoudFredrik NybergAdam WilcoxAlan AndrycAndrew E WilliamsAnna OstropoletsCarlos AreiaChi Young JungChristopher HarleChristian ReichClair BlacketerDaniel MoralesDavid A DorrEdward BurnElena RoelEng Hooi TanEvan MintyFrank DeFalcoGabriel de MaeztuGigi LiporiHiba AlghoulHong ZhuJason A ThomasJiang BianJimyung ParkJordi Martínez RoldánJosé D PosadaJuan M BandaJuan P HorcajadaJulianna KohlerKarishma ShahKarthik NatarajanKristine LynchLi LiuLisa SchillingMartina RecaldeMatthew SpotnitzMengchun GongMichael MathenyNeus ValvenyNicole WeiskopfNigam Haresh ShahOsaid AlserPaula CasajustRae Woong ParkRobert SchuffSarah SeagerScott DuVallSeng Chan YouSeokyoung SongSergio Fernández-BertolínStephen FortinTanja MagocThomas FalconerVignesh SubbianVojtech HuserWaheed-Ul-Rahman AhmedWilliam CarterYin GuanYankuic GalvanXing HePeter RijnbeekGeorge HripcsakPatrick RyanMarc A Suchard
Published in: Research square (2021)
Background: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response [1,2]. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) [3] Characterizing Health Associated Risks, and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD. Methods: We conducted a descriptive cohort study using a federated network of data partners in the United States, Europe (the Netherlands, Spain, the UK, Germany, France and Italy) and Asia (South Korea and China). The study protocol and analytical package were released on 11 th June 2020 and are iteratively updated via GitHub [4]. Findings: We identified three non-mutually exclusive cohorts of 4,537,153 individuals with a clinical COVID-19 diagnosis or positive test, 886,193 hospitalized with COVID-19 , and 113,627 hospitalized with COVID-19 requiring intensive services . All comorbidities, symptoms, medications, and outcomes are described by cohort in aggregate counts, and are available in an interactive website: https://data.ohdsi.org/Covid19CharacterizationCharybdis/. Interpretation: CHARYBDIS findings provide benchmarks that contribute to our understanding of COVID-19 progression, management and evolution over time. This can enable timely assessment of real-world outcomes of preventative and therapeutic options as they are introduced in clinical practice.
Keyphrases