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An Easy and Quick Risk-Stratified Early Forewarning Model for Septic Shock in the Intensive Care Unit: Development,
Guanghao Liu1,2,3, Shixiang Zheng2,4, Jun He1,2,5
1Department of Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China.
Journal of Medical Internet Research
|February 6, 2025
Summary
A new Septic Shock Risk Predictor (SORP) model accurately forewarns patients of septic shock (SS) up to 13 hours in advance. This tool stratifies risk, aiding timely clinical intervention and improving patient outcomes.
Area of Science:
- Critical Care Medicine
- Medical Informatics
- Clinical Risk Prediction
Background:
- Septic shock (SS) presents a significant clinical challenge due to high mortality rates.
- Early detection and diagnosis of SS are crucial for effective patient management but remain difficult.
Purpose of the Study:
- To develop and validate a simple, rapid, risk-stratified forewarning model for septic shock (SS).
- To enhance clinical recognition of SS patients and gain further insights into SS pathophysiology.
Main Methods:
- Developed a risk-stratified early forewarning model (SORP) using logistic regression and weight of evidence.
- Utilized large datasets (MIMIC-IV, eICU) with sepsis patients for training and external validation.
- Compared SORP performance against complex multi-feature models and evaluated clinical characteristics across risk groups.
Main Results:
- The SORP model achieved an AUC of 0.9458, demonstrating strong predictive accuracy using vital signs and arterial blood gas data.
- Identified four distinct risk groups (high to ultralow) 6 hours before SS onset, with median forewarning of 13 hours.
- High-risk patients, regardless of SS diagnosis, exhibited similar pathophysiological traits and worse survival, highlighting potential gaps in current definitions.
Conclusions:
- The SORP model offers accurate forewarning and reliable risk stratification for septic shock (SS).
- Identified a high-risk group (NS_HR) with SS-like characteristics but not meeting Sepsis-3 criteria, suggesting avenues for improved diagnosis and management.
- Emphasized the critical role of precise fluid resuscitation in SS patients with renal dysfunction; an online SORP service is available.
