ABSTRACT
AIM: To test accuracy and reproducibility of gestalt to predict obstructive coronary artery disease (CAD) in patients with acute chest pain. METHODS: We studied individuals who were consecutively admitted to our Chest Pain Unit. At admission, investigators performed a standardized interview and recorded 14 chest pain features. Based on these features, a cardiologist who was blind to other clinical characteristics made unstructured judgment of CAD probability, both numerically and categorically. As the reference standard for testing the accuracy of gestalt, angiography was required to rule-in CAD, while either angiography or non-invasive test could be used to rule-out. In order to assess reproducibility, a second cardiologist did the same procedure. RESULTS: In a sample of 330 patients, the prevalence of obstructive CAD was 48%. Gestalt's numerical probability was associated with CAD, but the area under the curve of 0.61 (95%CI: 0.55-0.67) indicated low level of accuracy. Accordingly, categorical definition of typical chest pain had a sensitivity of 48% (95%CI: 40%-55%) and specificity of 66% (95%CI: 59%-73%), yielding a negligible positive likelihood ratio of 1.4 (95%CI: 0.65-2.0) and negative likelihood ratio of 0.79 (95%CI: 0.62-1.02). Agreement between the two cardiologists was poor in the numerical classification (95% limits of agreement = -71% to 51%) and categorical definition of typical pain (Kappa = 0.29; 95%CI: 0.21-0.37). CONCLUSION: Clinical judgment based on a combination of chest pain features is neither accurate nor reproducible in predicting obstructive CAD in the acute setting.
ABSTRACT
OBJECTIVE: To verify the prevalence of acute hyperglycemia in children with head trauma stratified by the Glasgow coma scale (GCS). METHOD: A prospective cross-sectional study carried out with information from medical records of pediatric patients presenting with head injury in the emergency room of a referral emergency hospital during a one year period. We considered the cut-off value of 150 mg/dL to define hyperglycemia. RESULTS: A total of 340 children were included and 60 (17.6%) had admission hyperglycemia. Hyperglycemia was present in 9% of mild head trauma cases; 30.4% of those with moderate head trauma and 49% of severe head trauma. We observed that among children with higher blood glucose levels, 85% had abnormal findings on cranial computed tomography scans. CONCLUSION: Hyperglycemia was more prevalent in patients with severe head trauma (GCS <8), regardless if they had or not multiple traumas and in children with abnormal findings on head computed tomography scans.
