title: Clinical history in the diagnosis of the cardiac syncope–the predictive scoring system.
abstract: BACKGROUND
  Cardiac syncope represents clinical situation with serious prognosis. The aim of the present study was to develop the diagnostic scoring system based on the clinical history allowing to distinguish between cardiac and noncardiac syncope.
  
  
  METHODS
  Clinical history was obtained in the form of the structured questionnaire in 60 patients with cardiac syncope (mean age 70 ± 10 years, 33 men) an in 140 patients with noncardiac syncope (mean age 45 ± 20 years, 44 men). Multivariate regression analysis identified seven variables that were included in the final regression model.
  
  
  RESULTS
  The age above 55 years, presence of structural heart disease, syncope in supine position, absence of prodromal symptoms, and chest pain before syncope were predictive of cardiac syncope. Predictors of noncardiac syncope were recovery duration of more than 1 minute and syncope occurring immediately after standing up. A diagnostic point score was derived from the regression coefficients. The sum of the points identified patients with cardiac syncope if the diagnostic point score was ≤2. Diagnostic performance of the score was assessed on the validation group of 67 patients with syncope (21 patients with cardiac syncope and 46 patients with noncardiac syncope). Sensitivity was 81%, specificity 84.8%, positive predictive value 70.8%, and negative predictive value 90.7%.
  
  
  CONCLUSIONS
  Predictive model based on parameters form clinical history of the patients may help to distinguish between cardiac and other causes of syncope.
authors.affiliation: Clinic of Internal Medicine III, University Hospital, PJ Safarik University, Kosice, Slovakia. peter.mitro@upjs.sk
authors.forename: Peter
authors.initials: P
authors.lastname: Mitro
authors.forename: Peter
authors.initials: P
authors.lastname: Kirsch
authors.forename: Gabriel
authors.initials: G
authors.lastname: Valočik
authors.forename: Pavol
authors.initials: P
authors.lastname: Murín
mesh_terms: D005260:Female; D006801:Humans; D008297:Male; D008487:Medical History Taking / Q000379:methods*; D008875:Middle Aged; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D011795:Surveys and Questionnaires; D013575:Syncope / Q000175:diagnosis*