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Validation and refinement of a prediction rule to identify children at low risk for acute appendicitis
Anupam B Kharbanda1, Nanette C Dudley, Lalit Bajaj
1Department of Pediatrics Columbia University College of Physicians and Surgeons, New York, New York, USA. anupam.kharbanda@childrensmn.org
Insights
A refined clinical prediction rule accurately identifies children with low risk of appendicitis, improving diagnostic strategies. This rule helps avoid unnecessary imaging for pediatric patients presenting with abdominal pain.
Area of Science:
- Pediatric Emergency Medicine
- Clinical Prediction Modeling
- Diagnostic Accuracy
Background:
- Appendicitis is a common surgical emergency in children.
- Accurate identification of low-risk patients is crucial to avoid unnecessary imaging and interventions.
- Existing clinical prediction rules require validation and refinement in diverse pediatric populations.
Purpose of the Study:
- To validate and refine the Low-Risk Appendicitis Rule for identifying children with acute abdominal pain at low risk for appendicitis.
- To improve the diagnostic accuracy and clinical utility of a prediction rule in a multicenter pediatric setting.
Main Methods:
- Prospective, multicenter, cross-sectional study involving 10 pediatric emergency departments.
- Enrolled 2625 children and adolescents aged 3-18 years with suspected appendicitis.
- Validated the original rule and developed a refined version based on absolute neutrophil count and physical exam findings.
Main Results:
- The original rule had a sensitivity of 95.5% and a negative predictive value of 92.7%.
- A refined rule, incorporating absolute neutrophil count and specific physical exam findings, achieved a sensitivity of 98.1% and a negative predictive value of 95.3%.
- The refined rule identified a higher proportion of low-risk patients with improved accuracy.
Conclusions:
- A validated and refined clinical prediction rule can reliably identify children at low risk for appendicitis.
- For low-risk pediatric patients, alternative diagnostic strategies like observation or ultrasound are recommended over immediate CT scans.
- This refined rule has the potential to reduce unnecessary computed tomographic imaging in children with suspected appendicitis.
Objective:
To validate and refine a clinical prediction rule to identify which children with acute abdominal pain are at low risk for appendicitis (Low-Risk Appendicitis Rule).
Design:
Prospective, multicenter, cross-sectional study.
Setting:
Ten pediatric emergency departments.
Participants:
Children and adolescents aged 3 to 18 years who presented with suspected appendicitis from March 1, 2009, through April 30, 2010.
Main Outcome Measures:
The test performance of the Low-Risk Appendicitis Rule.
Results:
Among 2625 patients enrolled, 1018 (38.8% [95% CI, 36.9%-40.7%]) had appendicitis. Validation of the rule resulted in a sensitivity of 95.5% (95% CI, 93.9%-96.7%), specificity of 36.3% (33.9%-38.9%), and negative predictive value of 92.7% (90.1%-94.6%). Theoretical application would have identified 573 (24.0%) as being at low risk, misclassifying 42 patients (4.5% [95% CI, 3.4%-6.1%]) with appendicitis. We refined the prediction rule, resulting in a model that identified patients at low risk with (1) an absolute neutrophil count of 6.75 × 103/μL or less and no maximal tenderness in the right lower quadrant or (2) an absolute neutrophil count of 6.75 × 103/μL or less with maximal tenderness in the right lower quadrant but no abdominal pain with walking/jumping or coughing. This refined rule had a sensitivity of 98.1% (95% CI, 97.0%-98.9%), specificity of 23.7% (21.7%-25.9%), and negative predictive value of 95.3% (92.3%-97.0%).
Conclusions:
We have validated and refined a simple clinical prediction rule for pediatric appendicitis. For patients identified as being at low risk, clinicians should consider alternative strategies, such as observation or ultrasonographic examination, rather than proceeding to immediate computed tomographic imaging.
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