Literature DB >> 33688639

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

Daniel Prieto-Alhambra, Kristin Kostka, Talita Duarte-Salles, Albert Prats-Uribe, Anthony Sena, Andrea Pistillo, Sara Khalid, Lana Lai, Asieh Golozar, Thamir M Alshammari, Dalia Dawoud, Fredrik Nyberg, Adam Wilcox, Alan Andryc, Andrew Williams, Anna Ostropolets, Carlos Areia, Chi Young Jung, Christopher Harle, Christian Reich, Clair Blacketer, Daniel Morales, David A Dorr, Edward Burn, Elena Roel, Eng Hooi Tan, Evan Minty, Frank DeFalco, Gabriel de Maeztu, Gigi Lipori, Heba Alghoul, Hong Zhu, Jason Thomas, Jiang Bian, Jimyung Park, Jordi Martínez Roldán, Jose Posada, Juan M Banda, Juan P Horcajada, Julianna Kohler, Karishma Shah, Karthik Natarajan, Kristine Lynch, Li Liu, Lisa Schilling, Martina Recalde, Matthew Spotnitz, Mengchun Gong, Michael Matheny, Neus Valveny, Nicole Weiskopf, Nigam Shah, Osaid Alser, Paula Casajust, Rae Woong Park, Robert Schuff, Sarah Seager, Scott DuVall, Seng Chan You, Seokyoung Song, Sergio Fernández-Bertolín, Stephen Fortin, Tanja Magoc, Thomas Falconer, Vignesh Subbian, Vojtech Huser, Waheed-Ul-Rahman Ahmed, William Carter, Yin Guan, Yankuic Galvan, Xing He, Peter Rijnbeek, George Hripcsak, Patrick Ryan, Marc Suchard.   

Abstract

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.

Entities:  

Year:  2021        PMID: 33688639      PMCID: PMC7941629          DOI: 10.21203/rs.3.rs-279400/v1

Source DB:  PubMed          Journal:  Res Sq


  16 in total

1.  Validation of a common data model for active safety surveillance research.

Authors:  J Marc Overhage; Patrick B Ryan; Christian G Reich; Abraham G Hartzema; Paul E Stang
Journal:  J Am Med Inform Assoc       Date:  2011-10-28       Impact factor: 4.497

2.  How Confident Are We about Observational Findings in Healthcare: A Benchmark Study.

Authors:  Martijn J Schuemie; M Soledad Cepeda; Marc A Suchard; Jianxiao Yang; Yuxi Tian; Alejandro Schuler; Patrick B Ryan; David Madigan; George Hripcsak
Journal:  Harv Data Sci Rev       Date:  2020-01-31

3.  Failing the Test - The Tragic Data Gap Undermining the U.S. Pandemic Response.

Authors:  Eric C Schneider
Journal:  N Engl J Med       Date:  2020-05-15       Impact factor: 91.245

4.  Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers.

Authors:  Subha Madhavan; Lisa Bastarache; Jeffrey S Brown; Atul J Butte; David A Dorr; Peter J Embi; Charles P Friedman; Kevin B Johnson; Jason H Moore; Isaac S Kohane; Philip R O Payne; Jessica D Tenenbaum; Mark G Weiner; Adam B Wilcox; Lucila Ohno-Machado
Journal:  J Am Med Inform Assoc       Date:  2021-02-15       Impact factor: 4.497

5.  Common Problems, Common Data Model Solutions: Evidence Generation for Health Technology Assessment.

Authors:  Seamus Kent; Edward Burn; Dalia Dawoud; Pall Jonsson; Jens Torup Østby; Nigel Hughes; Peter Rijnbeek; Jacoline C Bouvy
Journal:  Pharmacoeconomics       Date:  2020-12-18       Impact factor: 4.981

6.  Ethics and informatics in the age of COVID-19: challenges and recommendations for public health organization and public policy.

Authors:  Vignesh Subbian; Anthony Solomonides; Melissa Clarkson; Vasiliki Nataly Rahimzadeh; Carolyn Petersen; Richard Schreiber; Paul R DeMuro; Prerna Dua; Kenneth W Goodman; Bonnie Kaplan; Ross Koppel; Christoph U Lehmann; Eric Pan; Yalini Senathirajah
Journal:  J Am Med Inform Assoc       Date:  2021-01-15       Impact factor: 4.497

7.  A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data.

Authors:  Michael G Kahn; Tiffany J Callahan; Juliana Barnard; Alan E Bauck; Jeff Brown; Bruce N Davidson; Hossein Estiri; Carsten Goerg; Erin Holve; Steven G Johnson; Siaw-Teng Liaw; Marianne Hamilton-Lopez; Daniella Meeker; Toan C Ong; Patrick Ryan; Ning Shang; Nicole G Weiskopf; Chunhua Weng; Meredith N Zozus; Lisa Schilling
Journal:  EGEMS (Wash DC)       Date:  2016-09-11

8.  Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study.

Authors:  Edward Burn; Seng Chan You; Anthony G Sena; Kristin Kostka; Hamed Abedtash; Maria Tereza F Abrahão; Amanda Alberga; Heba Alghoul; Osaid Alser; Thamir M Alshammari; Maria Aragon; Carlos Areia; Juan M Banda; Jaehyeong Cho; Aedin C Culhane; Alexander Davydov; Frank J DeFalco; Talita Duarte-Salles; Scott DuVall; Thomas Falconer; Sergio Fernandez-Bertolin; Weihua Gao; Asieh Golozar; Jill Hardin; George Hripcsak; Vojtech Huser; Hokyun Jeon; Yonghua Jing; Chi Young Jung; Benjamin Skov Kaas-Hansen; Denys Kaduk; Seamus Kent; Yeesuk Kim; Spyros Kolovos; Jennifer C E Lane; Hyejin Lee; Kristine E Lynch; Rupa Makadia; Michael E Matheny; Paras P Mehta; Daniel R Morales; Karthik Natarajan; Fredrik Nyberg; Anna Ostropolets; Rae Woong Park; Jimyung Park; Jose D Posada; Albert Prats-Uribe; Gowtham Rao; Christian Reich; Yeunsook Rho; Peter Rijnbeek; Lisa M Schilling; Martijn Schuemie; Nigam H Shah; Azza Shoaibi; Seokyoung Song; Matthew Spotnitz; Marc A Suchard; Joel N Swerdel; David Vizcaya; Salvatore Volpe; Haini Wen; Andrew E Williams; Belay B Yimer; Lin Zhang; Oleg Zhuk; Daniel Prieto-Alhambra; Patrick Ryan
Journal:  Nat Commun       Date:  2020-10-06       Impact factor: 14.919

9.  PCORnet® 2020: current state, accomplishments, and future directions.

Authors:  Christopher B Forrest; Kathleen M McTigue; Adrian F Hernandez; Lauren W Cohen; Henry Cruz; Kevin Haynes; Rainu Kaushal; Abel N Kho; Keith A Marsolo; Vinit P Nair; Richard Platt; Jon E Puro; Russell L Rothman; Elizabeth A Shenkman; Lemuel Russell Waitman; Neely A Williams; Thomas W Carton
Journal:  J Clin Epidemiol       Date:  2020-09-28       Impact factor: 6.437

10.  The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.

Authors:  Melissa A Haendel; Christopher G Chute; Tellen D Bennett; David A Eichmann; Justin Guinney; Warren A Kibbe; Philip R O Payne; Emily R Pfaff; Peter N Robinson; Joel H Saltz; Heidi Spratt; Christine Suver; John Wilbanks; Adam B Wilcox; Andrew E Williams; Chunlei Wu; Clair Blacketer; Robert L Bradford; James J Cimino; Marshall Clark; Evan W Colmenares; Patricia A Francis; Davera Gabriel; Alexis Graves; Raju Hemadri; Stephanie S Hong; George Hripscak; Dazhi Jiao; Jeffrey G Klann; Kristin Kostka; Adam M Lee; Harold P Lehmann; Lora Lingrey; Robert T Miller; Michele Morris; Shawn N Murphy; Karthik Natarajan; Matvey B Palchuk; Usman Sheikh; Harold Solbrig; Shyam Visweswaran; Anita Walden; Kellie M Walters; Griffin M Weber; Xiaohan Tanner Zhang; Richard L Zhu; Benjamin Amor; Andrew T Girvin; Amin Manna; Nabeel Qureshi; Michael G Kurilla; Sam G Michael; Lili M Portilla; Joni L Rutter; Christopher P Austin; Ken R Gersing
Journal:  J Am Med Inform Assoc       Date:  2021-03-01       Impact factor: 7.942

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