Selective Imaging Strategies for the Diagnosis of Appendicitis in Children
Избирательные стратегии визуализации для диагностики аппендицита у детей
2004-01-01
SCID: 54.1/54w3hxhp
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computed tomographypediatric appendicitisrecursive partitioningselective imagingultrasonography
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Abstract (AI)
BACKGROUND: We previously reported an appendiceal imaging protocol in which children with equivocal clinical presentations for acute appendicitis undergo ultrasonography (US) followed by computed tomography (CT). However, risk groups of children who would benefit most from imaging studies have not been established. OBJECTIVE: To define and test selective imaging guidelines to increase diagnostic accuracy and reduce unnecessary testing for children with suspected appendicitis. METHODS: We modeled outcomes under 3 different management guidelines. Patients were risk-stratified by a recursive partitioning analysis of a retrospective cohort. Subjects included children with equivocal presentations of acute appendicitis evaluated between January 1996 and December 1999. By using recursive partitioning, 3 risk groups were identified: low, medium, and high risk for acute appendicitis. Three imaging guidelines were defined. Under the first guideline, representing standard clinical practice at Children's Hospital Boston at the time of the study, all children with equivocal signs and symptoms for acute appendicitis undergo US first. If the US is positive, the child proceeds to appendectomy. If the US is negative, the child undergoes CT. Under guideline 2, low-risk children undergo US and, if negative, are discharged from the hospital. High-risk children undergo CT, and medium-risk children undergo US followed by CT. Under the third guideline, low-risk children undergo no imaging and are admitted for observation. High-risk children proceed directly to appendectomy without imaging studies. Medium-risk children undergo US followed by CT. Clinical outcomes and the number of imaging studies performed were modeled under current practice and under each guideline. RESULTS: Identified were 1401 cases of equivocal appendicitis; 958 (68.4%) with complete data. The mean age was 11 +/- 4.3 years. Of 958 children, 588 (61.4%) had acute appendicitis. One hundred forty-three patients were in the low-risk group, defined as neutrophils 67%, white blood cell count >10,000/mm(3), guarding, and abdominal pain >13 hours. Of these, 202 (90%) had appendicitis. Under guideline 1, there were 22 negative appendectomies, 35 missed or delayed diagnoses, and 958 USs and 673 CT scans performed. Under guideline 2, there would have been 23 negative appendectomies, 36 missed or delayed diagnoses, and 733 USs and 637 CT scans performed. Under guideline 3, there would have been 36 negative appendectomies, 37 missed or delayed diagnoses, and 590 USs and 412 CT scans performed. CONCLUSIONS: Selective imaging guidelines can reduce the number of radiographic studies performed with minimal diminution in accuracy of diagnosis of pediatric appendicitis.
Key Findings
1
Among 958 evaluable children, 588 (61.4%) had acute appendicitis; the cohort’s mean age was 11 ± 4.3 years.
2
The abstract truncates the modeled clinical outcomes and imaging reductions, so the comparative effectiveness of the three guidelines cannot be fully determined from the provided text.
3
The proposed guidelines were designed to improve diagnostic accuracy while reducing unnecessary imaging compared with universal ultrasonography followed by computed tomography.
4
The study developed selective imaging guidelines by stratifying children with equivocal appendicitis presentations into low-, medium-, and high-risk groups using recursive partitioning.
5
Three management strategies were modeled, varying use of ultrasonography, computed tomography, direct appendectomy, and observation according to risk group.
Research Object
Children with equivocal presentations of suspected acute appendicitis
Research Subject
Selective imaging strategies and risk-stratified diagnostic management to improve diagnostic accuracy and reduce unnecessary imaging
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2004-01-01
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