Sociodemographic and clinical characteristics in child and youth mental health; comparison of routine outcome measurements of an Australian and Dutch outpatient cohort

Routine outcome measurement (ROM) data offer unique opportunities to study treatment outcomes in clinical practice, and can help to assess the real-world impact of mental health services for children and adolescents (youth). This is illustrated by studies using naturalistic data from specialist child and adolescent mental healthcare services (CAMHS), showing the proportion of patients with reliable improvement, recovery or deterioration (Burgess et al., 2015; Wolpert et al., 2016), and revealing specific subgroups of patients with greater risk of poor outcome (Garralda et al., 2000; Lundh et al., 2013; Murphy et al., 2015; Edbrooke-Childs et al., 2017). Naturalistic data are therefore undeniably necessary in addition to data derived from randomised clinical trials, which often have limited generalisability due to strict selection criteria (Rothwell, 2005; Van Noorden et al., 2014).New methods for child psychiatric diagnosis and treatment outcome evaluatio

Sex dependent risk factors for mortality after myocardial infarction : individual patient data meta-analysis

Background. Although a number of risk factors are known to predict mortality within the first years after myocardial infarction, little is known about interactions between risk factors, whereas these could contribute to accurate differentiation of patients with higher and lower risk for mortality. This study explored the effect of interactions of risk factors on all-cause mortality in patients with myocardial infarction based on individual patient data meta-analysis. Methods. Prospective data for 10,512 patients hospitalized for myocardial infarction were derived from 16 observational studies (MINDMAPS). Baseline measures included a broad set of risk factors for mortality such as age, sex, heart failure, diabetes, depression, and smoking. All two-way and three-way interactions of these risk factors were included in Lasso regression analyses to predict time-to-event related all-cause mortality. The effect of selected interactions was investigated with multilevel Cox regression models. Results. Lasso regression selected five two-way interactions, of which four included sex. The addition of these interactions to multilevel Cox models suggested differential risk patterns for males and females. Younger women (ag

Enteric coronavirus in ferrets, the Netherlands

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Geometry of four-dimensional Killing spinors

The supersymmetric solutions of N=2, D=4 minimal ungauged and gauged supergravity are classified according to the fraction of preserved supersymmetry using spinorial geometry techniques. Subject to a reasonable assumption in the 1/2-supersymmetric time-like case of the gauged theory, we derive the complete form of all supersymmetric solutions. This includes a number of new 1/4- and 1/2-supersymmetric possibilities, like gravitational waves on bubbles of nothing in AdS_4

Somatic/affective symptoms, but not cognitive/affective symptoms, of depression after acute coronary syndrome are associated with 12-month all-cause mortality

BACKGROUND: Symptom dimensions of post myocardial infarction (MI) depression may be differently related to prognosis. Somatic/affective symptoms appear to be associated with a worse cardiac outcome than cognitive/affective symptoms. We examined the relationship between depressive symptom dimensions following acute coronary syndrome (ACS) and both disease severity and all-cause mortality. METHODS: Patients (n=913) who had unstable angina pectoris or MI were recruited from 12 coronary care units between 1997 and 1999. Measurements included sociodemographic and clinical data and the Beck Depression Inventory (BDI). Endpoint was all-cause mortality at 12-month follow-up. RESULTS: Principal component analysis revealed two components, somatic/affective and cognitive/affective symptoms of depression. Somatic/affective symptoms of depression (odds ratio (OR): 1.49; 95% confidence interval (CI): 1.23-1.81; p<0.001) but not cognitive/affective symptoms (OR: 0.92; 95% CI: 0.75-1.12; p=0.40) were related to a higher Killip class. Fifty-one patients died during the follow-up period. When controlling for index event, history of MI, Killip class, diabetes, gender and age, there was a significant association between the somatic/affective component (OR: 1.92; 95% CI: 1.36-2.71; p<0.001) and mortality. The cognitive/affective component was not related to mortality (OR: 1.07; 95% CI: 0.75-1.52; p=0.73). LIMITATIONS: Time to death was not available. CONCLUSIONS: This study showed that only somatic/affective depressive symptoms were associated with disease severity and all-cause mortality in ACS patients. More research is needed to evaluate the differential associations of somatic/affective and cognitive/affective depressive symptoms with cardiac outcomes and the underlying mechanisms