Clinician treatment choices for post-traumatic stress disorder: ambassadors survey of psychiatrists in 39 European countries.

BACKGROUND: Considering the recently growing number of potentially traumatic events in Europe, the European Psychiatric Association undertook a study to investigate clinicians' treatment choices for post-traumatic stress disorder (PTSD). METHODS: The case-based analysis included 611 participants, who correctly classified the vignette as a case of PTSD, from Central/ Eastern Europe (CEE) (n = 279), Southern Europe (SE) (n = 92), Northern Europe (NE) (n = 92), and Western Europe (WE) (N = 148). RESULTS: About 82% woulduse antidepressants (sertraline being the most preferred one). Benzodiazepines and antipsychotics were significantly more frequently recommended by participants from CEE (33 and 4%, respectively), compared to participants from NE (11 and 0%) and SE (9% and 3%). About 52% of clinicians recommended trauma-focused cognitive behavior therapy and 35% psychoeducation, irrespective of their origin. In the latent class analysis, we identified four distinct "profiles" of clinicians. In Class 1 (N = 367), psychiatrists would less often recommend any antidepressants. In Class 2 (N = 51), clinicians would recommend trazodone and prolonged exposure therapy. In Class 3 (N = 65), they propose mirtazapine and eye movement desensitization reprocessing therapy. In Class 4 (N = 128), clinicians propose different types of medications and cognitive processing therapy. About 50.1% of participants in each region stated they do not adhere to recognized treatment guidelines. CONCLUSIONS: Clinicians' decisions for PTSD are broadly similar among European psychiatrists, but regional differences suggest the need for more dialogue and education to harmonize practice across Europe and promote the use of guidelines.

Guidelines for Individual and Group Psychodynamic Psychotherapy for the Treatment of Persons Diagnosed with Psychosis and/or Schizophrenia.

The hereby presented guidelines for the use of psychodynamic psychotherapy are based on references and research in the field of individual and group therapy and they refer to psychotherapy for patients suffering from the first psychotic episode, schizophrenia, schizoaffective psychosis, bipolar disorder and paranoid psychosis. The aim was to provide an overview of present literature and to give recommendations based on current knowledge. Clinical experience and research of the outcomes of psychodynamic psychotherapy encourage positioning of such treatments among recommendations for treating various mental disorders, as well as in the field of psychotherapy of patients with psychotic disorders (PD).

Effects of cannabis use on age at onset in schizophrenia and bipolar disorder.

BACKGROUND: Cannabis use may decrease age at onset in both schizophrenia and bipolar disorder, given the evidence for substantial phenotypic and genetic overlap between both disorders. METHODS: 766 patients, aged 16 to 65 years, were assessed with the Composite International Diagnostic Interview (CIDI) for substance abuse/use. 676 subjects were diagnosed with schizophrenia and 90 subjects with bipolar disorder. The influence of cannabis use on age at onset in both schizophrenia and bipolar disorder was examined using regression analysis. RESULTS: Cannabis and other substance use was more frequent in patients with schizophrenia compared to the bipolar group. Both cannabis use and a schizophrenia diagnosis predicted earlier age at onset. There was a significant interaction between cannabis use and diagnosis, cannabis having a greater effect in bipolar patients. Age at onset in users of cannabis was comparable in both diagnostic groups whereas bipolar non-users were significantly older than schizophrenia non-users at onset. CONCLUSION: Cannabis use may decrease age at onset in both schizophrenia and bipolar patients and reduce the effect of diagnosis. This is consistent with the view that cannabis use may unmask a pre-existing genetic liability that is partly shared between patients with schizophrenia and bipolar disorder.

Body mass index in male Caucasian veterans with or without posttraumatic stress disorder.

Obesity (defined as body mass index (BMI) higher than 30), is a serious and global public health problem, associated with increased morbidity and mortality and it represents a risk factor for developing various somatic and psychiatric disorders. Combat-related posttraumatic stress disorder (PTSD) is frequently associated with increased BMI which leads to overweight and obesity. We therefore evaluated BMI in the ethnically uniform Croatian male participants of the Caucasian origin, combat exposed veterans with or without PTSD, controlled for the effect of trauma, age, smoking, alcohol consumption, physical activity and comorbid psychiatric disorders, and in age matched healthy control subjects. BMI did not differ significantly between veterans with or without PTSD and healthy control subjects, or when participants were subdivided according to the age groups, BMI categories, or the presence of psychiatric disorders. Limitation of the study might be a small number of veterans with or without PTSD. Similar BMI was found in Croatian male veterans with or without PTSD, and age matched healthy control subjects. The data provided evidence of overweight and obesity in large number of veterans but also in healthy control subjects, and indicated that public health organizations should develop more effective strategies to prevent overweight and obesity.

Homocysteine and serum lipids concentration in male war veterans with posttraumatic stress disorder.

The evidence of increased cardiovascular disease (CVD) risk in posttraumatic stress disorder (PTSD) is accumulating. The present study aimed to determine whether chronic, combat-related PTSD is associated with serum lipid and homocysteine concentrations that could indicate higher CVD risk. The authors tested 66 war veterans with PTSD, 33 war veterans without PTSD, and 42 healthy volunteers for serum concentrations of homocysteine, total cholesterol, high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C) and triglycerides. All the subjects were men and the analyses were adjusted for age, body mass index and smoking. Potential influences of depression, anxiety, and psychotic symptoms on the outcome measures were checked by introducing the scores from the Hamilton Depression Rating Scale (HAM-D-17), the Hamilton Anxiety Scale (HAMA), and the Positive and Negative Syndrome Scale (PANSS) into the overall statistical model. No differences in total cholesterol, LDL-C, HDL-C and triglycerides were found between the groups. Non-smoking PTSD war veterans had higher homocysteine concentrations (mean=10.4 micromol/L, SD=1.7) when compared to non-smoking war veterans without PTSD (mean=8.2 micromol/L, SD=4.0, P=0.014) and both smoking (mean=8.7 micromol/L, SD=2.3, P=0.008) and non-smoking healthy volunteers (mean=8.8 micromol/L, SD=2.2, P=0.021). The results of our cross-sectional study are possibly confounded by many factors, especially behavioral and life-style related which are difficult to control comprehensively and might have influenced serum lipids and homocysteine concentration in a complex manner. An increase in the homocysteine concentration observed in the non-smoking PTSD patients needs further investigation with a carefully designed prospective study to confirm associated, possibly enhanced CVD risk.

Posttraumatic stress disorder: diagnostic data analysis by data mining methodology.

AIM: To use data mining methods in assessing diagnostic symptoms in posttraumatic stress disorder (PTSD). METHODS. The study included 102 inpatients: 51 with a diagnosis of PTSD and 51 with psychiatric diagnoses other than PTSD. Several models for predicting diagnosis were built using the random forest classifier, one of the intelligent data analysis methods. The first prediction model was based on a structured psychiatric interview, the second on psychiatric scales (Clinician-administered PTSD Scale--CAPS, Positive and Negative Syndrome Scale--PANSS, Hamilton Anxiety Scale--HAMA, and Hamilton Depression Scale--HAMD), and the third on combined data from both sources. Additional models placing more weight on one of the classes (PTSD or non-PTSD) were trained, and prototypes representing subgroups in the classes constructed. RESULTS: The first model was the most relevant for distinguishing PTSD diagnosis from comorbid diagnoses such as neurotic, stress-related, and somatoform disorders. The second model pointed out the scores obtained on the CAPS scale and additional PANSS scales, together with comorbid diagnoses of neurotic, stress-related, and somatoform disorders as most relevant. In the third model, psychiatric scales and the same group of comorbid diagnoses were found to be most relevant. Specialized models placing more weight on either the PTSD or non-PTSD class were able to better predict their targeted diagnoses at some expense of overall accuracy. Class subgroup prototypes mainly differed in values achieved on psychiatric scales and frequency of comorbid diagnoses. CONCLUSION: Our work demonstrated the applicability of data mining methods for the analysis of structured psychiatric data for PTSD. In all models, the group of comorbid diagnoses, including neurotic, stress-related, and somatoform disorders, surfaced as important. The important attributes of the data, based on the structured psychiatric interview, were the current symptoms and conditions such as presence and degree of disability, hospitalizations, and duration of military service during the war, while CAPS total scores, symptoms of increased arousal, and PANSS additional criteria scores were indicated as relevant from the psychiatric symptom scales.