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

BMC Pulmonary Medicine

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

Predictor category	Predictor	FBA positive	FBA negative	Regression coefficient	Adjusted odds ratio^a (95%CI)	P-value*	Weight risk score^b
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

OR odds ratio, CI confidence interval
*Pearson Chi-square and Fisher exact test
^aAdjusted for all other potential covariates found in the univariate logistic regression analysis
^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

ISSN: 1471-2466