Clinical subphenotypes of sepsis based on mixed continuous and categorical data and differences in treatment effects: a cluster analysis of multicenter observational studies - Takeaways - MDSpire

Clinical subphenotypes of sepsis based on mixed continuous and categorical data and differences in treatment effects: a cluster analysis of multicenter observational studies

  • By

  • Yuta Yokokawa

  • Rieko Sakurai

  • Daisuke Kudo

  • Gen Tamiya

  • Shigeki Kushimoto

  • January 15, 2026

  • 0 min

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  • 1

    Sepsis remains a significant global health issue with high mortality rates and no definitive treatment proven to improve outcomes.

  • 2

    Previous studies on sepsis have treated it as a homogeneous condition, ignoring the diverse clinical characteristics among patients.

  • 3

    This study aimed to classify sepsis patients into subphenotypes using mixed data analysis to enhance treatment response understanding.

  • 4

    Cluster analysis was performed on clinical variables from multicenter registries to identify distinct subphenotypes of sepsis.

  • 5

    Identifying subphenotypes with varying treatment responses could pave the way for precision medicine in sepsis management.

Original Source(s)

Clinical subphenotypes of sepsis based on mixed continuous and categorical data and differences in treatment effects: a cluster analysis of multicenter observational studies

  • by Yuta Yokokawa, Rieko Sakurai, Daisuke Kudo, Gen Tamiya, Shigeki Kushimoto

  • January 15, 2026

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