• Arch Pediat Adol Med · Mar 2000

    Predictors of intussusception in young children.

    • N Kuppermann, T O'Dea, L Pinckney, and C Hoecker.
    • Department of Pediatrics, University of California, Davis School of Medicine, Sacramento 95817, USA. nkuppermann@ucdavis.edu
    • Arch Pediat Adol Med. 2000 Mar 1;154(3):250-5.

    ObjectiveTo identify predictors of intussusception in young children.DesignA retrospective cross-sectional study.Setting And PatientsA consecutive sample of children younger than 5 years on whom contrast enemas were performed because of suspected intussusception seen at an urban children's hospital from 1990 to 1995.MethodsWe evaluated historical, clinical, and radiographic variables. Variables documented in 75% or more of the medical records and associated with intussusception (P< or =.20) in the univariate analysis were evaluated in a multiple logistic regression analysis. Variables retaining significance (P< or =.05) in the multivariate analysis were considered independent predictors of intussusception. We used bootstrap resampling techniques to validate the multivariate model.ResultsSixty-eight (59%) of the 115 patients had intussusception. Univariate predictors of intussusception included male sex, age younger than 2 years, history of emesis, rectal bleeding, lethargy, abdominal mass, and a highly suggestive abdominal radiograph. In the multivariate analysis, we identified only 4 independent predictors (adjusted odds ratio; 95% confidence interval): a highly suggestive abdominal radiograph (18.3; 4.0-83.1), rectal bleeding (17.3; 2.9-104.0), male sex (6.2; 1.2-32.3), and a history of emesis (13.4; 1.4-126.0). We identified 3 of these 4 variables (all but emesis) as independent predictors in more than 50% of 1000 bootstrap data samples.ConclusionsRectal bleeding, a highly suggestive abdominal radiograph, and male sex are variables independently associated with intussusception in a cohort of children suspected of having this diagnosis. Knowledge of these variables may assist in clinical decision making regarding diagnostic and therapeutic interventions.

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