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Table 3 Multivariate logistic regression model for determining significant predictors and deriving risk score for FBA

From: A new clinical algorithm scoring for management of suspected foreign body aspiration in children

Predictor category Predictor FBA positive FBA negative Regression coefficient Adjusted odds ratioa (95%CI) P-value* Weight risk scoreb
Clinical sign and symptoms Witnessed choking 65 (71.4%) 134 (64.1%) 0.753 2.12 (1.10, 4.38) 0.041 1
Clinical sign and symptoms Noisy breathing/ Stridor/ Dysphonia 21 (23.1%) 23 (11%) 1.01 2.74 (1.22, 6.17) 0.015 1
Clinical sign and symptoms New onset wheezing/ Recurrent/persistent wheeze 20 (22%) 14 (6.7%) 1.52 4.57 (1.77, 11.76) 0.002 2
Radiographic Abnormal Chest X-ray findings 31 (40.8%) 34 (20.5%) 1.39 4.01 (1.88, 8.53) <0.001 2
Physical examination Unilateral reduced air entry 21 (23.3%) 112 (56%) 1.07 2.90 (1.53, 5.52) 0.001 1
  1. OR odds ratio, CI confidence interval
  2. *Pearson Chi-square and Fisher exact test
  3. aAdjusted for all other potential covariates found in the univariate logistic regression analysis
  4. bThe scores were computed and derived by dividing the regression coefficients of the included predictors by the smallest regression coefficient and then rounding them to the nearest integer. For each patient, a sum score was calculated by adding the scores that correspond to the predictors and characteristics of the patient