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The organization of personality pathology into trait domains (vs. specific disorders) in ICD-11 represents an important shift in personality disorder (PD) nosology. However, to facilitate clinical implementation, a bridge is needed between this system and the DSM-5 Section II system familiar to many researchers and clinicians. In this study, individual DSM-5 PD criteria were assigned to ICD-11 trait domains based on the published Clinical Descriptions and Diagnostic Requirements. This scoring scheme was examined empirically alongside DSM-5 PD dimensions (using SIDP ratings from the MIDAS project; N = 2,147 outpatients) in terms of descriptive properties and relations with psychosocial morbidity and functioning. Most PD criteria could be matched to at least one ICD-11 trait domain, indicating considerable cross-system continuity. However, points of incongruity are noteworthy for research and clinical applications. Results provide key information for bridging categorical and dimensional frameworks, indicating that the shift toward trait-based PD models need not be as disruptive as feared. [ABSTRACT FROM AUTHOR]

The emergent interpersonal syndrome (EIS) approach conceptualizes personality disorders as the interaction among their constituent traits to predict important criterion variables. We detail the difficulties we have experienced finding such interactive predictors in our empirical work on psychopathy, even when using uncorrelated traits that maximize power. Rather than explaining a large absolute proportion of variance in interpersonal outcomes, EIS interactions might explain small amounts of variance relative to the main effects of each trait. Indeed, these interactions may necessitate samples of almost 1,000 observations for 80% power and a false positive rate of.05. EIS models must describe which specific traits' interactions constitute a particular EIS, as effect sizes appear to diminish as higher-order trait interactions are analyzed. Considering whether EIS interactions are ordinal with non-crossing slopes or disordinal with crossing slopes, or entail nonlinear threshold or saturation effects may help researchers design studies, sampling strategies, and analyses to model their expected effects efficiently. [ABSTRACT FROM AUTHOR]