AMIA Annu Symp Proc - Utility of a clinical support tool for outpatient evaluation of pediatric chest pain.

Tópicos

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Resumo

This study evaluates a clinical pathway currently being employed at a large single-center pediatric cardiology practice. The dataset includes 1,997 pediatric patients with the primary complaint of chest pain. A logistic regression model was developed to predict cardiac disease and identify strong indicators of cardiac pathology. The area under the ROC curve was 0.73 and the Matthews correlation coefficient was 0.23. Given the low incidence of pathology disease, this study was unable to identify strong predictors of major cardiac pathology. The analysis did support syncope, palpitations and the onset of chest pain in the past 2-7 days as predictors of minor cardiac disease. However, the model indicated exertional chest pain is negatively associated with cardiac disease. This data should be evaluated with caution as some of the results are contrary to most clinical cardiologists' views. The majority of the results support the cardiac disease predictors in the clinical pathway.

Resumo Limpo

studi evalu clinic pathway current employ larg singlecent pediatr cardiolog practic dataset includ pediatr patient primari complaint chest pain logist regress model develop predict cardiac diseas identifi strong indic cardiac patholog area roc curv matthew correl coeffici given low incid patholog diseas studi unabl identifi strong predictor major cardiac patholog analysi support syncop palpit onset chest pain past day predictor minor cardiac diseas howev model indic exert chest pain negat associ cardiac diseas data evalu caution result contrari clinic cardiologist view major result support cardiac diseas predictor clinic pathway

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