Development and validation of a clinical prediction model for sepsis-induced cardiomyopathy
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By
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Tenghao Shao
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Dan Su
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Jinwen Zhang
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Wenchao Kan
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Yingxin Wang
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Jiaqian Wu
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Nan Zhang
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Na Cui
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Hongwei Zhang
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July 17, 2026
Clinical Scorecard: Creation and assessment of a clinical risk prediction model for cardiomyopathy resulting from sepsis
At a Glance
| Category | Detail |
|---|
| Condition | Sepsis-induced cardiomyopathy (SICM) |
| Key Mechanisms | Systemic inflammation, microcirculatory impairment, metabolic dysregulation |
| Target Population | Patients with sepsis |
| Care Setting | Intensive care units |
Key Highlights
Guideline-Based Recommendations
Diagnosis
- SICM defined as LVEF < 50% in septic patients without pre-existing coronary artery disease or cardiomyopathy
Management
- Utilization of the prediction model for individualized treatment strategies
Monitoring & Follow-up
- Regular assessment of clinical and laboratory parameters post-admission
Risks
- Increased risks of multi-organ failure and mortality associated with SICM
Patient & Prescribing Data
Patients meeting Sepsis-3.0 diagnostic criteria
Model aids in identifying patients at elevated risk for SICM
Clinical Best Practices
- Early detection and intervention for SICM
- Use of routinely available clinical variables for risk assessment
- Consideration of hemodynamic support in management
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