title: Scoring system has better discriminative value than Helicobacter pylori testing in patients with dyspepsia in a setting with high prevalence of infection.
abstract: OBJECTIVE
  To prospectively assess the accuracy of a scoring system to predict organic diseases in dyspeptic patients in an area of South Europe, and to compare it with that of Helicobacter pylori testing in patients with dyspepsia in an environment with high prevalence of H. pylori infection.
  
  
  METHODS
  Symptoms and demographic data were recorded in 501 consecutive dyspeptic patients referred to an outpatient gastroenterology clinic. A simple scoring system was constructed from the predictive factors obtained in a multi-variate logistic regression analysis. Overall predictive accuracy was assessed with the c statistic. The model was validated using bootstrap techniques. The accuracy of clinical judgement and H. pylori testing to predict endoscopic diagnosis was also assessed.
  
  
  RESULTS
  Organic dyspepsia (peptic ulcer, oesophagitis or malignancies) was diagnosed in 45% of the patients. The test for H. pylori was positive in 68%, and 29% of infected patients had an ulcer. The organic dyspepsia predictive model had an accuracy of 0.79, which decreased to 0.77 after validation adjustment. The predictive accuracies for clinical judgement and H. pylori testing were 0.69 and 0.61, respectively. The addition of H. pylori testing to the scoring system resulted in a minor improvement of the predictive accuracy.
  
  
  CONCLUSIONS
  In an environment with a high rate of H. pylori infection and a low prevalence of peptic ulcer among infected patients, a scoring system has higher predictive accuracy for the diagnosis of organic disease than H. pylori testing. Moreover, in this setting, H. pylori testing adds a minimum value to the predictive capability of the scoring system.
authors.affiliation: Hospital de Viladecans, Barcelona, Spain. h551umbl@hv.scs.es
authors.forename: M
authors.initials: M
authors.lastname: Barenys
authors.forename: A
authors.initials: A
authors.lastname: Abad
authors.forename: J M
authors.initials: JM
authors.lastname: Pons
authors.forename: V
authors.initials: V
authors.lastname: Moreno
authors.forename: R
authors.initials: R
authors.lastname: Rota
authors.forename: A
authors.initials: A
authors.lastname: Granados
authors.forename: M
authors.initials: M
authors.lastname: Admetlla
authors.forename: J M
authors.initials: JM
authors.lastname: Piqué
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D003937:Diagnosis, Differential; D004415:Dyspepsia / Q000175:diagnosis* / Q000453:epidemiology / Q000382:microbiology; D004941:Esophagitis / Q000175:diagnosis* / Q000453:epidemiology / Q000382:microbiology; D005260:Female; D016481:Helicobacter Infections / Q000175:diagnosis* / Q000453:epidemiology*; D016480:Helicobacter pylori / Q000302:isolation & purification*; D006801:Humans; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D015995:Prevalence; D011336:Probability; D011446:Prospective Studies; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D018709:Statistics, Nonparametric; D013276:Stomach Ulcer / Q000175:diagnosis* / Q000453:epidemiology / Q000382:microbiology