Objective: In this study, cluster analysis was performed with the data of various scales used in panic disorder patients. We aimed to make an effective subtyping in panic disorder that can affect the prognosis and treatment of the disease and also will be effective in the prevention of this disease.

Material and Method: A total of 110 panic disorder patients diagnosed with the DSM-5 Structured Clinical Interview-Clinical Version who met the inclusion criteria were included in this study. After the informed consent forms were obtained; Sociodemographic and Clinical Data Form, Panic and Agoraphobia Scale (PAS), Hamilton Depression Rating Scale (HAM-D), Hamilton Anxiety Rating Scale (HAM-A), Eysenck Personality Questionnaire Revised-Short Form (EPQR-S), Separation Anxiety Symptom Inventory, Anxiety Sensitivity Index-3 (ASI-3), and Childhood Trauma Questionnaire (CTQ) were applied to all participants. Univariate analysis, cluster analysis and discriminant analysis were performed with the collected data.

Results: As a result of multivariate analysis, we found two clusters in panic disorder. According to clustering characteristics, we identified 2 subtypes as traumatic panic disorder and nontraumatic panic disorder. Depression, anxiety levels, panic and agoraphobia scale, separation anxiety, anxiety sensitivity, neuroticism and psychoticism personality dimensions, childhood traumas, especially emotional abuse and sexual abuse, were found to be higher in the traumatic subtype. Eysenck extraversion personality dimension was higher in In the nontraumatic panic disorder subtype.

Conclusion: Characteristics in panic disorder patients are related to each other, and there are two subtypes: panic disorder that occurs with traumatic effect and Nontraumatic Panic Disorder.