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Context: The scarcity of cross-national reports and the changes in Diagnostic and Statistical Manual version 5 (DSM-5) regarding panic disorder (PD) and panic attacks (PAs) call for new epidemiological data on PD and PAs and its subtypes in the general population.Objective: To present representative data about the cross-national epidemiology of PD and PAs in accordance with DSM-5 definitions.Design and Setting: Nationally representative cross-sectional surveys using the World Health Organization Composite International Diagnostic Interview version 3.0.Participants: Respondents (n = 142,949) from 25 high, middle, and lower-middle income countries across the world aged 18 years or older.Main Outcome Measures: PD and presence of single and recurrent PAs.Results: Lifetime prevalence of PAs was 13.2% (SE 0.1%). Among persons that ever had a PA, the majority had recurrent PAs (66.5%; SE 0.5%), while only 12.8% fulfilled DSM-5 criteria for PD. Recurrent PAs were associated with a subsequent onset of a variety of mental disorders (OR 2.0; 95% CI 1.8-2.2) and their course (OR 1.3; 95% CI 1.2-2.4) whereas single PAs were not (OR 1.1; 95% CI 0.9-1.3 and OR 0.7; 95% CI 0.6-0.8). Cross-national lifetime prevalence estimates were 1.7% (SE 0.0%) for PD with a median age of onset of 32 (IQR 20-47). Some 80.4% of persons with lifetime PD had a lifetime comorbid mental disorder.Conclusions: We extended previous epidemiological data to a cross-national context. The presence of recurrent PAs in particular is associated with subsequent onset and course of mental disorders beyond agoraphobia and PD, and might serve as a generic risk marker for psychopathology. [ABSTRACT FROM AUTHOR]

Background: Variation in the course of major depressive disorder (MDD) is not strongly predicted by existing subtype distinctions. A new subtyping approach is considered here., Methods: Two data mining techniques, ensemble recursive partitioning and Lasso generalized linear models (GLMs), followed by k-means cluster analysis are used to search for subtypes based on index episode symptoms predicting subsequent MDD course in the World Mental Health (WMH) surveys. The WMH surveys are community surveys in 16 countries. Lifetime DSM-IV MDD was reported by 8,261 respondents. Retrospectively reported outcomes included measures of persistence (number of years with an episode, number of years with an episode lasting most of the year) and severity (hospitalization for MDD, disability due to MDD)., Results: Recursive partitioning found significant clusters defined by the conjunctions of early onset, suicidality, and anxiety (irritability, panic, nervousness-worry-anxiety) during the index episode. GLMs found additional associations involving a number of individual symptoms. Predicted values of the four outcomes were strongly correlated. Cluster analysis of these predicted values found three clusters having consistently high, intermediate, or low predicted scores across all outcomes. The high-risk cluster (30.0% of respondents) accounted for 52.9-69.7% of high persistence and severity, and it was most strongly predicted by index episode severe dysphoria, suicidality, anxiety, and early onset. A total symptom count, in comparison, was not a significant predictor., Conclusions: Despite being based on retrospective reports, results suggest that useful MDD subtyping distinctions can be made using data mining methods. Further studies are needed to test and expand these results with prospective data., (© 2014 Wiley Periodicals, Inc.)