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The Developmental Course of Psychopathic Features: Investigating stability, change, and long-term outcomes.

ABSTRACT: This multi-cohort study delineates developmental trajectories of psychopathic features across childhood and adolescence (ages 7-16) and investigates associations with adult outcomes (ages~23-34). Although most youth demonstrated consistently low levels of psychopathic features, approximately 10%-15% followed a chronically high trajectory. A similar number (~14%) displayed initially high levels that decreased over time, while others (~10%-20%) followed an increasing pattern. Boys in the chronically high trajectory exhibited the most deleterious adult outcomes and some evidence suggested that youth in the decreasing subgroup experienced fewer maladaptive outcomes than those in the increasing and high groups. Findings revealed substantial malleability in the developmental course of psychopathic features and suggest that unique pathways may exert considerable influence on future engagement in antisocial and criminal behaviors.

SUBMITTER: Hawes SW

PROVIDER: S-EPMC6519965 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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The Developmental Course of Psychopathic Features: Investigating stability, change, and long-term outcomes.

Hawes Samuel W SW Byrd Amy L AL Gonzalez Raul R Cavanaugh Caitlin C Bechtold Jordan J Lynam Donald R DR Pardini Dustin A DA

Journal of research in personality 20180926

This multi-cohort study delineates developmental trajectories of psychopathic features across childhood and adolescence (ages 7-16) and investigates associations with adult outcomes (ages~23-34). Although most youth demonstrated consistently low levels of psychopathic features, approximately 10%-15% followed a chronically high trajectory. A similar number (~14%) displayed initially high levels that decreased over time, while others (~10%-20%) followed an increasing pattern. Boys in the chronical ...[more]

PMID: 31105356

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Project description:Background and aimsCrohn's disease [CD] is characterised by a heterogeneous disease course. Patient stratification at diagnosis using clinical, serological, or genetic markers does not predict disease course sufficiently to facilitate clinical decision making. The current study aimed to investigate the additive predictive value of histopathological features to discriminate between a long-term mild and severe disease course.MethodsDiagnostic biopsies from treatment-naïve CD patients with mild or severe disease courses in the first 10 years after diagnosis were reviewed by two gastrointestinal pathologists after developing a standardised form comprising 15 histopathological features. Multivariable logistic regression models were built to identify predictive features and compute receiver operating characteristic [ROC] curves. Models were internally validated using bootstrapping to obtain optimism-corrected performance estimates.ResultsIn total, 817 biopsies from 137 patients [64 mild, 73 severe cases] were included. Using clinical baseline characteristics, disease course could only moderately be predicted (area under receiver operating characteristic curve [AUROC]: 0.738 [optimism 0.018], 95% confidence interval [CI] 0.65-0.83, sensitivity 83.6%, specificity 53.1%). When adding histopathological features, in colonic biopsies a combination of [1] basal plasmacytosis, [2] severe lymphocyte infiltration in lamina propria, [3] Paneth cell metaplasia, and [4] absence of ulcers were identified and resulted in significantly better prediction of a severe course (AUROC: 0.883 [optimism 0.033], 95% CI 0.82-0.94, sensitivity 80.4%, specificity 84.2%).ConclusionsIn this first study investigating the additive predictive value of histopathological features in biopsies at CD diagnosis, we found that certain features of chronic inflammation in colonic biopsies contributed to prediction of a severe disease course, thereby presenting a novel approach to improving stratification and facilitating clinical decision making.

Dataset Information

The Developmental Course of Psychopathic Features: Investigating stability, change, and long-term outcomes.

Publications

The Developmental Course of Psychopathic Features: Investigating stability, change, and long-term outcomes.

Similar Datasets

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