The detection of panic disorder in chest pain patients.
The aims of this study were to 1) develop a detection model for recognizing panic disorder (PD), 2) develop a simple questionnaire as a screening instrument for PD detection, and 3) test in an outpatient cardiological chest pain population a detection model for panic disorder previously described by Fleet et al. [20]. Logistic regression analysis was performed to explore factors predictive of panic disorder and to test the cross-cardiological setting constancy of the Fleet model in 199 chest pain patients without previously known heart disease referred to cardiological outpatient investigation of chest pain. The SCL-90 somatization subscale, Agoraphobia Cognitions Questionnaire, chest pain quality, pain localization, and age were the best predictors of the presence of panic disorder. This model correctly classified 78% of the subjects. The sum-score of a three-item questionnaire correctly classified 74% of the subjects, while the previously described model by Fleet et al. correctly classified 73% of the subjects. A detection model and a screening questionnaire are proposed to improve the recognition of PD in this chest pain population. This study partly supports the cross-setting validity of a previously described detection model.
Dammen
T
T
Department of Psychiatry, Ullevål University Hospital, Oslo, Norway.
Ekeberg
O
O
Arnesen
H
H
Friis
S
S
D000328:Adult; D002637:Chest Pain / Q000523:psychology*; D003327:Coronary Disease / Q000175:diagnosis; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010147:Pain Measurement; D016584:Panic Disorder / Q000150:complications / Q000175:diagnosis*; D010808:Physical Examination; D011237:Predictive Value of Tests; D011569:Psychiatric Status Rating Scales / Q000592:standards; D012494:Sampling Studies; D012680:Sensitivity and Specificity