Preliminary investigation of the Panic Screening Score for XXXX @entity1 with unexplained @entity662 .

@entity1 @entity662 @entity4697 @entity341 @entity148
OBJECTIVES: The objective was to demonstrate the derivation and the preliminary validation of a brief screening score to improve recognition of @entity4697 -like @entity148 ( @entity341 ) @entity1 with unexplained @entity662 . METHODS: This cross-sectional study included 507 @entity341 @entity1 with unexplained @entity662 randomly assigned to the derivation condition (n = 201) or the validation condition (n = 306). The @entity148 Interview Schedule for DSM-IV (ADIS-IV) acted as the criterion standard for @entity4697 diagnosis. Receiver operating characteristic (ROC) curves were used to determine which of the sociodemographic, medical, and questionnaire response variables best predicted the presence of @entity4697 -like @entity148 in the derivation condition. The selected predictors were entered in a logistic regression analysis to determine variables to be included in the screening score. The predictive validity of the resulting score was evaluated in both conditions. RESULTS: The four-item Panic Screening Score (PSS) identified @entity4697 -like @entity148 with a sensitivity of 63% (95% confidence interval [CI] = 52% to 73%) and a specificity of 84% (95% CI = 76% to 90%) in the derivation phase. The positive predictive value was 74% (95% CI = 62% to 93%) and the negative predictive value was 76% (95% CI = 68% to 89%). In the validation phase, the sensitivity and specificity were 53% (95% CI = 44% to 62%) and 85% (95% CI = 78% to 89%), respectively. The positive predictive value was 72% (95% CI = 62% to 80%) and the negative predictive value was 71% (95% CI = 65% to 77%). CONCLUSIONS: The PSS may be useful to identify @entity1 with unexplained @entity662 who could benefit from referral to mental health professionals or their primary care providers for evaluation of @entity4697 and @entity4697 . Prospective studies to improve and validate the PSS, followed by impact analysis, are mandatory before clinical implementation.
