Development and validation of a CT-based body composition model for predicting adverse outcomes in small bowel obstruction
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By
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Yanan Shi
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Zhendong Wang
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Xiaojuan Tian
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Feng Wu
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Xiaole Ma
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Kai Jia
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Jiansheng Guo
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Tian Yao
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He Huang
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Yuntong Guo
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June 1, 2026
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Clinical Scorecard: Creation and assessment of a CT-derived body composition framework for forecasting negative outcomes in small bowel obstruction
At a Glance
| Category | Detail |
|---|
| Condition | Small Bowel Obstruction (SBO) |
| Key Mechanisms | Integration of body composition, systemic inflammation, nutrition, and intraoperative factors. |
| Target Population | Adult patients (≥18 years) undergoing emergency surgery for SBO. |
| Care Setting | Single-center, retrospective cohort study. |
Key Highlights
- Low skeletal muscle density (SMD) is a strong predictor of postoperative sepsis, ICU admission, and complications.
- Prolonged time from symptom onset to surgery and longer operative duration are significant risk factors.
- The predictive model demonstrated strong discriminative ability with AUC values between 0.72 and 0.84.
Guideline-Based Recommendations
Diagnosis
- Utilize CT imaging to assess body composition parameters in SBO patients.
Management
- Implement a multidimensional nomogram for predicting postoperative outcomes.
Monitoring & Follow-up
- Intensify postoperative monitoring based on risk stratification from the predictive model.
Risks
- Consider low SMD, prolonged symptom duration, and elevated D-dimer as risk factors for adverse outcomes.
Patient & Prescribing Data
270 patients diagnosed with SBO.
Focus on early surgical intervention and monitoring based on identified risk factors.
Clinical Best Practices
- Incorporate body composition and inflammatory markers into risk assessment for SBO patients.
- Utilize intraoperative factors in predictive models for better outcome forecasting.
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