Unknown

Dataset Information

0

Estimating the probability of abusive head trauma after abuse evaluation.


ABSTRACT: BACKGROUND:Evidence-based, patient-specific estimates of abusive head trauma probability can inform physicians' decisions to evaluate, confirm, exclude, and/or report suspected child abuse. OBJECTIVE:To derive a clinical prediction rule for pediatric abusive head trauma that incorporates the (positive or negative) predictive contributions of patients' completed skeletal surveys and retinal exams. PARTICIPANTS AND SETTING:500 acutely head-injured children under three years of age hospitalized for intensive care at one of 18 sites between 2010 and 2013. METHODS:Secondary analysis of an existing, cross-sectional, prospective dataset, including (1) multivariable logistic regression to impute the results of abuse evaluations never ordered or completed, (2) regularized logistic regression to derive a novel clinical prediction rule that incorporates the results of completed abuse evaluations, and (3) application of the new prediction rule to calculate patient-specific estimates of abusive head trauma probability for observed combinations of its predictor variables. RESULTS:Applying a mean probability threshold of >0.5 to classify patients as abused, the 7-variable clinical prediction rule derived in this study demonstrated sensitivity 0.73 (95% CI: 0.66-0.79) and specificity 0.87 (95% CI: 0.82-0.90). The area under the receiver operating characteristics curve was 0.88 (95% CI: 0.85-0.92). Patient-specific estimates of abusive head trauma probability for 72 observed combinations of its seven predictor variables ranged from 0.04 (95% CI: 0.02-0.08) to 0.98 (95% CI: 0.96-0.99). CONCLUSIONS:Seven variables facilitate patient-specific estimation of abusive head trauma probability after abuse evaluation in intensive care settings.

SUBMITTER: Hymel KP 

PROVIDER: S-EPMC6333504 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications


<h4>Background</h4>Evidence-based, patient-specific estimates of abusive head trauma probability can inform physicians' decisions to evaluate, confirm, exclude, and/or report suspected child abuse.<h4>Objective</h4>To derive a clinical prediction rule for pediatric abusive head trauma that incorporates the (positive or negative) predictive contributions of patients' completed skeletal surveys and retinal exams.<h4>Participants and setting</h4>500 acutely head-injured children under three years o  ...[more]

Similar Datasets

| S-EPMC6296307 | biostudies-other
| S-EPMC7042052 | biostudies-literature
| S-EPMC5863059 | biostudies-literature
| S-EPMC9975066 | biostudies-literature
| S-EPMC7243470 | biostudies-literature
| S-EPMC3545381 | biostudies-literature
| S-EPMC10655946 | biostudies-literature
| S-EPMC8778601 | biostudies-literature
| S-EPMC5350378 | biostudies-literature
| S-EPMC4171035 | biostudies-literature