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Updated: Jun 22, 2026

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Multimodality Diagnosis of Mesenteric Ischemia
Published on: July 21, 2023
New prediction rule for mortality in acute mesenteric ischemia
Yoshio Haga1, Masaharu Odo, Masato Homma
1Department of Surgery, National Hospital Organization Kumamoto Medical Center, Kumamoto, Japan. epass2006@yahoo.co.jp
Digestion
|June 27, 2009
Summary
Identifying prognostic factors for acute mesenteric ischemia is crucial. This study found electrocardiogram scale and shock index are key predictors of mortality, leading to a new, simpler scoring system for better patient outcomes.
Area of Science:
- Vascular Surgery
- Gastroenterology
- Critical Care Medicine
Background:
- Acute mesenteric ischemia (AMI) is a life-threatening condition with high mortality rates.
- Established prognostic factors for AMI are lacking, hindering effective clinical management.
Purpose of the Study:
- To identify independent prognostic factors for in-hospital mortality in patients with AMI.
- To develop and validate a predictive model for AMI outcomes.
Main Methods:
- Retrospective cohort study of 110 AMI patients treated across 26 Japanese national hospitals over 5 years.
- Logistic regression and stepwise analysis were used to identify prognostic factors and develop prediction equations.
- A simplified scoring system (S) was derived from the prediction equation (R) for ease of clinical application.
Main Results:
- The overall in-hospital mortality rate was 51%.
- Electrocardiogram scale (OR 1.7) and shock index (OR 11) were identified as independent predictors of mortality.
- Both the prediction equation (R) and the simplified scoring system (S) demonstrated good discriminatory ability (AUC 0.83 and 0.82, respectively).
- Higher scores on both R and S systems correlated with increased observed mortality rates.
Conclusions:
- The developed prediction rules, based on electrocardiogram scale and shock index, are valuable tools for assessing AMI prognosis.
- These new prediction rules can be implemented in any hospital setting to aid medical decision-making, informed consent, and quality of care review.
