Guideline-based strategies to identify severe cytokine release syndrome in COVID-19 and cancer immunotherapy using large-scale electronic health records

Our EHR-based CRS case identification strategy is suitable for risk factor analysis and developing CRS risk prediction models.

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Publication Details

Journal
Frontiers in Digital Health
Published
2026-02-17
DOI
https://doi.org/10.3389/fdgth.2025.1625889
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Guideline-based strategies to identify severe cytokine release syndrome in COVID-19 and cancer immunotherapy using large-scale electronic health records

Candice Jamois, K. Wang, Chiara Maria Corso, C. Berger et al.
Frontiers in Digital Health
COVID-19 Clinical Research Studies
article

Guideline-based strategies to identify severe cytokine release syndrome in COVID-19 and cancer immunotherapy using large-scale electronic health records

Candice Jamois, K. Wang, Chiara Maria Corso, C. Berger, Elif Özkırımlı, Philippe A. Robert, Jonas Denck, Cao Tri Do
article en

Abstract

Our EHR-based CRS case identification strategy is suitable for risk factor analysis and developing CRS risk prediction models.

Frontiers in Digital HealthVol. 7
Roche (Switzerland) (CH), University Hospital of Basel (CH), Department of Biomedicine Basel (CH)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 53%
COVID-19 Clinical Research Studies
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