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Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative

In this study, the authors characterise post-acute sequelae of SARS-CoV-2 (PASC) in two large cohorts based on electronic health records from the USA. They identify a broad range of PASC-related conditions which were only partially replicated across the two cohorts, indicating possible heterogeneity between populations.

Chengxi Zang
Yongkang Zhang
Rainu Kaushal
ResearchOpen Access07 Apr 2023
Nature Communications

Volume: 14, P: 1-14
Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes

Machine learning applied to electronic health records in two US cohorts from the RECOVER initiative identified four Long-COVID subphenotypes that differ in the involvement of organ systems, previous SARS-CoV-2 infection severity and underlying conditions.

Hao Zhang
Chengxi Zang
Rainu Kaushal
ResearchOpen Access01 Dec 2022
Nature Medicine

Volume: 29, P: 226-235
Insulin-Like Growth Factor Binding Protein-3 Concentrations and Insulin-Like Growth Factor Binding Protein-3 Protease Activity in Sera of Patients with Malignant Solid Tumors or Leukemia

Hermann L Müller
Youngman Oh
Ron G Rosenfeld
Research01 Jun 1994
Pediatric Research

Volume: 35, P: 720-724
Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts

Zang et al. use RECOVER EHR data to study Long COVID risk factors and apply mathematical modeling to predict the development of long COVID conditions. They find that severe acute SARS-CoV-2 infection, being underweight, and having baseline comorbidities are likely associated with increased risk of having Long COVID.

Chengxi Zang
Yu Hou
Rainu Kaushal
ResearchOpen Access11 Jul 2024
Communications Medicine

Volume: 4, P: 1-13
Concepts of human leukemic development

Jennifer K Warner
Jean C Y Wang
John E Dick
Reviews20 Sept 2004
Oncogene

Volume: 23, P: 7164-7177

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Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative

Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes

Insulin-Like Growth Factor Binding Protein-3 Concentrations and Insulin-Like Growth Factor Binding Protein-3 Protease Activity in Sera of Patients with Malignant Solid Tumors or Leukemia

Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts

Concepts of human leukemic development

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