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September 10, 2025Journal of International Medical ResearchOpen Access

Prediction of 28-day mortality in patients with sepsis based on a predictive model: A retrospective cohort study

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Authors

YSYi SunTWTingting WangMZMengna Zhang

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Overview

Retrospective cohort study develops a nomogram model predicting mortality in sepsis patients, suggesting effective risk assessment.

Key Points

  • The nomogram model predicts 28-day mortality in sepsis patients, enhancing clinical decision-making.
  • Key predictive factors include lactate level, diabetes, and multiple blood parameters, with an AUC of 0.907.
  • Analysis utilized least absolute shrinkage and selection operator regression, indicating strong model validity.
  • Findings suggest that this model may optimize personalized therapy for high-risk patients with sepsis.

Cite This Study

Sun et al. (2025) studied this question.

synapsesocial.com/papers/68c1a5f854b1d3bfb60dfe7ehttps://doi.org/10.1177/03000605251361104
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  5. 5Establishment and validation of a predictive model for mortality within 30 days in patients with sepsis-induced blood pressure drop: A retrospective analysis2021 · 7 citations