Prediction models for mortality in patients with sepsis: a systematic review and meta-analysis - Takeaways - MDSpire

Prediction models for mortality in patients with sepsis: a systematic review and meta-analysis

  • By

  • Siyuan Lei

  • Huanrong Ruan

  • Jun Wang

  • Guixiang Zhao

  • Hulei Zhao

  • Jianping Liu

  • Jiansheng Li

  • June 10, 2026

  • 0 min

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  • 1

    Sepsis is a leading cause of mortality in critically ill patients, with approximately 11 million sepsis-related deaths globally each year.

  • 2

    The systematic review included 84 studies reporting 235 prediction models for sepsis mortality, involving around 2.7 million patient records.

  • 3

    Externally validated models showed moderate discriminative performance with a pooled AUC of 0.794, indicating the need for improved predictive accuracy.

  • 4

    Common predictors of sepsis mortality identified were age, lactate levels, albumin, SOFA score, and vasopressor use.

  • 5

    A significant proportion of studies had a high risk of bias, highlighting the need for larger, multicenter studies to enhance model generalizability.

Original Source(s)

Prediction models for mortality in patients with sepsis: a systematic review and meta-analysis

  • by Siyuan Lei, Huanrong Ruan, Jun Wang, Guixiang Zhao, Hulei Zhao, Jianping Liu, Jiansheng Li

  • June 10, 2026

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