Agreement between DSM-IV and DSM-5 criteria for alcohol use disorder among outpatients suffering from depressive and anxiety disorders.

BACKGROUND AND OBJECTIVES: Since significant differences have been reported, we estimated agreement between DSM-5 and DSM-IV criteria for alcohol use disorder (AUD). METHODS: We assessed 327 outpatients (mean age: 45.2 ± 13.4) with depressive or anxiety disorders. RESULTS: Absolute differences in prevalence rates between DSM-5 and DSM-IV AUD ranged from -1.1% (subjects with anxiety disorders) to +1.8% (tobacco smokers). The agreement was excellent (k = 0.88), also accounting for specific subgroups (relevant k coefficients >0.80). DISCUSSION AND CONCLUSIONS: DSM-5 criteria did not inflate AUD rates. SCIENTIFIC SIGNIFICANCE: Our results have epidemiological significance since, unlike previous reports, we found diagnostic stability between new and old AUD criteria in this clinical population. (Am J Addict 2017;26:53-56).

Factors Associated With Response and Resistance to Cognitive Remediation in Schizophrenia: A Critical Review.

Cognitive impairment is a central feature of schizophrenia and has shown to play a crucial role in the psychosocial function of the disorder. Over the past few years, several cognitive remediation (CR) interventions have been developed for schizophrenia, whose effectiveness has also been widely demonstrated by systematic reviews and meta-analysis studies. Despite these evidences, many questions remain open. In particular, the identification of CR response predictors in patients with schizophrenia is still a topic with equivocal findings and only a few studies have looked for the relationship between CR response or resistance and the biological, socio-demographic, clinical and cognitive features in schizophrenia. The current knowledge on positive or negative response predictors to CR treatment in schizophrenia include: age, duration of illness, premorbid adjustment, baseline cognitive performance, intrinsic motivation, hostility, disorganized symptoms, neurobiological reserve, genetic polymorphisms, the amounts of antipsychotics, the type of CR, etc. The aim of this review is to identify neurobiological, psychopathological, cognitive, and functional predictors of CR response or resistance in schizophrenia, taking into account both cognitive and functional outcome measures. The information obtained could be very useful in planning integrated and personalized interventions, also with a better use of the available resources.