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A Clinical Score to Predict Appendicitis in Older Male Children.

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OBJECTIVE To develop a clinical score to predict appendicitis among older, male children who present to the emergency department with suspected appendicitis. METHODS Patients with suspected appendicitis were prospectively enrolled… Click to show full abstract

OBJECTIVE To develop a clinical score to predict appendicitis among older, male children who present to the emergency department with suspected appendicitis. METHODS Patients with suspected appendicitis were prospectively enrolled at 9 pediatric emergency departments. A total of 2625 patients enrolled; a subset of 961 male patients, age 8-18 were analyzed in this secondary analysis. Outcomes were determined using pathology, operative reports, and follow-up calls. Clinical and laboratory predictors with <10% missing data and kappa > 0.4 were entered into a multivariable model. Resultant β-coefficients were used to develop a clinical score. Test performance was assessed by calculating the sensitivity, specificity, positive predictive value, negative predictive value, and likelihood ratios. RESULTS The mean age was 12.2 years; 49.9% (480) had appendicitis, 22.3% (107) had perforation, and the negative appendectomy rate was 3%. In patients with and without appendicitis, overall imaging rates were 68.6% (329) and 84.4% (406), respectively. Variables retained in the model included maximum tenderness in the right lower quadrant, pain with walking/coughing or hopping, and the absolute neutrophil count. A score ≥8.1 had a sensitivity of 25% (95% confidence interval [CI], 20%-29%), specificity of 98% (95% CI, 96%-99%), and positive predictive value of 93% (95% CI, 86%-97%) for ruling in appendicitis. CONCLUSIONS We developed an accurate scoring system for predicting appendicitis in older boys. If validated, the score might allow clinicians to manage a proportion of male patients without diagnostic imaging.

Keywords: predict appendicitis; male; score predict; clinical score; score

Journal Title: Academic pediatrics
Year Published: 2017

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