The Systemic Immune-Inflammation Index as an Innovative Prognostic Indicator for Critically Ill Sepsis Patients: Insights from the MIMIC-IV Database and Machine Learning Predictive Analysis - Takeaways - MDSpire

The Systemic Immune-Inflammation Index as an Innovative Prognostic Indicator for Critically Ill Sepsis Patients: Insights from the MIMIC-IV Database and Machine Learning Predictive Analysis

  • By

  • Xudong Zhang

  • Yiquan Xu

  • Yu Lei

  • Miaomiao Tang

  • Yanqing Wang

  • Jianghui Luo

  • Shuying Zhu

  • February 7, 2026

  • 0 min

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  • 1

    Sepsis is a leading cause of mortality in ICUs, with significant early deaths occurring within the first 48 hours of admission.

  • 2

    The systemic immune-inflammation (SII) index is calculated as (neutrophil × platelet)/lymphocyte and reflects immune response in sepsis.

  • 3

    This study utilized the MIMIC-IV database to evaluate the prognostic value of SII in critically ill patients with sepsis.

  • 4

    Primary outcomes assessed were 30-day and 90-day all-cause mortality among sepsis patients in the ICU.

  • 5

    Machine learning approaches were applied to integrate SII into predictive models for better risk stratification in sepsis.

Original Source(s)

The Systemic Immune-Inflammation Index as an Innovative Prognostic Indicator for Critically Ill Sepsis Patients: Insights from the MIMIC-IV Database and Machine Learning Predictive Analysis

  • by Xudong Zhang, Yiquan Xu, Yu Lei, Miaomiao Tang, Yanqing Wang, Jianghui Luo, Shuying Zhu

  • February 7, 2026

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