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Raising suspicion of maltreatment from burns: Derivation and validation of the BuRN-Tool
Authors:Alison M Kemp  Linda Hollén  Alan M Emond  Diane Nuttall  David Rea  Sabine Maguire
Institution:1. School of Medicine, Cardiff University, United Kingdom;2. School of Social and Community Medicine, University of Bristol, United Kingdom;3. University of the West of England, Bristol, United Kingdom
Abstract:

Background

10–25% of childhood burns arise from maltreatment.

Aim

To derive and validate a clinical prediction tool to assist the recognition of suspected maltreatment.

Methods

Prospectively collected data from 1327 children with burns were analyzed using logistic regression. Regression coefficients for variables associated with ‘referral for child maltreatment investigation’ (112 cases) in multivariable analyses were converted to integers to derive the BuRN-Tool, scoring each child on a continuous scale. A cut-off score for referral was established from receiver operating curve analysis and optimal sensitivity and specificity values. We validated the BuRN-Tool on 787 prospectively collected novel cases.

Results

Variables associated with referral were: age <5 years, known to social care, concerning explanation, full thickness burn, uncommon body location, bilateral pattern and supervision concern. We established 3 as cut-off score, resulting in a sensitivity and specificity for scalds of 87.5% (95% CI:61.7–98.4) and 81.5% (95% CI:77.1–85.4) respectively and for non-scalds sensitivity was 82.4% (95%CI:65.5–93.2) and specificity 78.7% (95% CI:73.9–82.9) when applied to validation data. Area under the curve was 0.87 (95% CI:0.83–0.90) for scalds and 0.85 (95% CI:0.81–0.88) for non-scalds.

Conclusion

The BuRN-Tool is a potential adjunct to clinical decision-making, predicting which children warrant investigation for child maltreatment. The score is simple and easy to complete in an emergency department setting.
Keywords:AUC  area under the curve  CPT  clinical prediction tool  ED  Emergency Department  LR  likelihood ratios  LR+  positive likelihood ratio  LR?  negative likelihood ratio  NICE  National Institute for Health and Care Excellence  ROC  receiver operating curve  Maltreatment  Clinical prediction tool  Child  Burn
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