An easy-to-follow algorithm to improve pre-operative diagnosis for appendicitis in children
G Podevin1, P De Vries2, H Lardy3
1Pole FME, Pediatic Surgery, CHU Angers, 4, rue Larrey, 49933 Angers, France.
Insights
A new diagnostic algorithm for appendicitis in children significantly improved adherence to best practices, reducing unnecessary appendectomies and patient morbidity. This approach enhances diagnostic accuracy in pediatric surgery.
Area of Science:
- Pediatric Surgery
- Diagnostic Medicine
- Clinical Trial Methodology
Background:
- Appendicitis diagnosis in children can be challenging, leading to potential delays or unnecessary procedures.
- Physician adherence to established diagnostic guidelines is crucial for optimal patient outcomes.
Purpose of the Study:
- To assess physician compliance with a diagnostic algorithm for pediatric appendicitis.
- To evaluate the algorithm's impact on diagnostic accuracy and patient morbidity.
Main Methods:
- A clustered randomized trial was conducted across eight pediatric centers.
- Compared diagnostic management of 543 patients before the algorithm's implementation with 323 patients after.
Main Results:
- Imaging study utilization increased by 29.1% post-algorithm implementation (50.8% to 79.9%).
- Incorrect appendicitis diagnoses significantly decreased (20.2% vs. 11.8%, P<0.001).
- Unnecessary appendectomy rates dropped from 11.9% to 5.3% (P<0.01).
Conclusions:
- The diagnostic algorithm enhanced adherence to best practices for pediatric appendicitis diagnosis.
- The algorithm effectively reduced unnecessary appendectomies and associated patient morbidity.
- This strategy, integrating lab tests and imaging, aids pediatric surgeons in tailoring treatment.
Goal:
To evaluate physician compliance with use of a diagnostic algorithm for appendicitis in children. Our secondary objective was to determine the impact of the algorithm on diagnostic accuracy and morbidity.
Methods:
We conducted a clustered randomized trial in eight centers. A total of 866 patients were included and, depending on the period of randomization at particular centers, 543 patients were managed before the formal institution of the diagnostic algorithm; their diagnostic management was compared to that of the subsequent 323 patients.
Results:
There was a 29.1% mean increase in the use of imaging studies included in the algorithm after algorithm set-up, rising from 50.8 to 79.9% (P<0.02). When we used a composite endpoint of "poor results" (grouping patients with incorrect diagnoses and/or post-operative complications), no statistically significant difference was found between the two periods (85/543 (15.6%) before vs. 45/323 (13.9%) after set-up, P=0.5). But when the number of incorrect diagnoses of appendicitis made without the use of the algorithm was compared to that of patients who took advantage of the algorithm, the difference was highly significant (67/332 [20.2%] vs. 63/534 [11.8%], P<0.001), and the rate of unnecessary appendectomy decreased from 11.9 to 5.3% (P<0.01).
Conclusions:
Our diagnostic algorithm improved the adherence to good practice for the diagnosis of appendicitis in children, reducing the rates of unnecessary appendectomy and morbidity. This strategy, combining laboratory tests and imaging, should permit pediatric surgeons to adapt their therapeutic approaches to specific cases.
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