In-depth analysis of cost structure for electroconvulsive therapy in a performance-based hospital budget

Objective New medical guideline recommendations for the treatment of major depressive disorders and regulative changes in the payment system of the German mental health care system warrant a revision of the framework in which electroconvulsive therapies (ECT) are offered. Methods A cost structure analysis of the clinical resources essential for the ECT procedure was conducted and economically validated, exemplified at a German inpatient ECT treatment center. Results The identification of directly attributable costs to the ECT intervention presupposes an accurate assessment of personnel engagement time and material consumption as well as an inclusion of overhead costs for the operational readiness of the hospital. Conclusion The increasing importance of ECT in the clinical portfolio of therapy options demands an adequate refunding to support the expansion of this highly effective treatment. For the calculation of an appropriate reimbursement for ECT and ascertaining an acceptable contribution, a detailed knowledge of personnel costs and infrastructure settings of the respective hospitals is required

Alexithymia traits outweigh autism traits in the explanation of depression in adults with autism

When contemplating the alarming depression rates in adults with autism spectrum disorder (ASD), there is a need to find factors explaining heightened symptoms of depression. Beyond the impact of autism traits, markedly increased levels of alexithymia traits should be considered as a candidate for explaining why individuals with ASD report higher levels of depressive symptoms. Here, we aim to identify the extent to which autism or alexithymia traits indicate depressive symptoms in ASD and whether the pattern of association are specific to ASD. Data of a large (N=400) representative clinical population of adults referred to autism diagnostics have been investigated and split by cases with a confirmed ASD diagnosis (N=281) and cases with a ruled out ASD diagnosis (N=119). Dominance analysis revealed the alexithymia factor, difficulties in identifying feelings, as the strongest predictor for depressive symptomatology in ASD, outweighing autism traits and other alexithymia factors. This pattern of prediction was not specific to ASD and was shared by clinical controls from the referral population with a ruled out ASD diagnosis. Thus, the association of alexithymia traits with depression is not unique to ASD and may constitute a general psychopathological mechanism in clinical samples

Autism traits outweigh alexithymia traits in the explanation of mentalising performance in adults with autism but not in adults with rejected autism diagnosis

BACKGROUND: Pronounced alexithymia traits have been found in autism spectrum disorder (ASD) and recent research has been carving out the impact alexithymia traits might have on mentalising deficits associated with ASD. METHOD: In this cross-sectional study, a large representative referral population for diagnostic examination for possible ASD (n = 400) was screened for clinical alexithymia with a German version of the Reading the Mind in the Eyes test (RME). In contrast to previous attempts to carve out the impact of alexithymia traits on mentalising deficits though, we employed dominance analysis to account for the correlation between predictors. The relative relationship between alexithymia traits and autism traits with RME performance was investigated in the group of individuals with confirmed ASD diagnosis (N = 281) and compared to the clinical referral sample in which ASD was ruled out (N = 119). RESULTS: Dominance analysis revealed autism traits to be the strongest predictor for reduced mentalising skills in the ASD sample, whereas alexithymia contributed significantly less. In the sample of individuals with ruled out diagnosis, autism traits were the strongest predictor, but alexithymia traits were in sum equally associated to mentalising, with the External-Oriented Thinking subscale as an important predictor of this association. LIMITATIONS: It needs to be considered that the cross-sectional study design does not allow for causal inference. Furthermore, mentalising is a highly facetted capacity and measurements need to reduce this complexity into simple quantities which limits the generalizability of results. DISCUSSION: While alexithymia traits should be considered for their mental health importance, they do not dominate the explanation of reduced mentalising skills in individuals with ASD, but they might do to a larger degree in individuals with ruled out ASD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13229-022-00510-9

The Investigation and Differential Diagnosis of Asperger Syndrome in Adults

Background: As a result of the increased public interest in autism spectrum disorders (ASD), certain core manifestations of ASD-impaired social interaction and communication, bizarre interests-are now commonly recognized as being typical of autism, not only in children, but in adults as well. More often than before, general practitioners, neurologists, and psychiatrists find themselves being asked whether a patient is suffering from previously unrecognized Asperger syndrome (AS). The prevalence of ASD is estimated at 1%, and the ratio of diagnosed to undiagnosed cases at about 3:2. Little is known about the diagnostic evaluation of AS in adulthood. Methods: We selectively searched the Medline database for pertinent literature, paying special attention to diagnostic manuals and to the guideline of the United Kingdom's National Institute for Health and Care Excellence (NICE). Results: Centrally important aspects of the diagnosis of AS include an assessment of the patient's ability to assume the emotional perspectives of others, non-verbal modes of expression, repetitive behavior patterns, and childhood social behavioral history. The autism quotient (AQ) is now established as a simple but nonspecific screening test. Up to 70% of all affected adults have comorbid disturbances, most often depression and anxiety disorders. The differential diagnosis includes personality disorders, anxiety disorders, obsessive-compulsive disorder, and attention deficit-hyperactivity disorder. The diagnostic assessment should proceed in stepwise fashion, starting from simple screening in primary care and then moving on to evaluation of the suspected diagnosis by a mental health care specialist, followed by extensive further investigation in an outpatient clinic specifically devoted to patients with autism spectrum disorders. Conclusion: The diagnostic assessment of autism in adults requires knowledge of the core and accompanying manifestations of autism and of their differential diagnoses. More research is needed for the development of further screening tests and the precise determination of diagnosis rates, differential diagnoses, and comorbidities

Sex-Related Cognitive Profile in Autism Spectrum Disorders Diagnosed Late in Life: Implications for the Female Autistic Phenotype

Females with high-functioning ASD are known to camouflage their autistic symptoms better than their male counterparts, making them prone to being under-ascertained and delayed in diagnostic assessment. Thus far the underlying cognitive processes that enable such successful socio-communicative adaptation are not well understood. The current results show sex-related differences in the cognitive profile of ASD individuals, which were diagnosed late in life exclusively. Higher verbal abilities were found in males (n = 69) as opposed to higher processing speed and better executive functions in females with ASD (n = 38). Since both sexes remained unidentified during childhood and adolescence, these results are suggestive for sex-distinctive cognitive strategies as an alternative to typically-developed reciprocal social behavior and social mimicry in high functioning ASD

Prediction of Malignant Middle Cerebral Artery Infarction by Magnetic Resonance Imaging Within 6 Hours of Symptom Onset: A Prospective Multicenter Observational Study

Objective: Early identification of patients at risk of space-occupying malignant middle cerebral artery (MCA) infarction (MMI) is needed to enable timely decision for potentially life-saving treatment such as decompressive hemicraniectomy. We tested the hypothesis that acute stroke magnetic resonance imaging (MRI) predicts MMI within 6 hours of stroke onset. Methods: In a prospective, multicenter, observational cohort study patients with acute ischemic stroke and MCA main stem occlusion were studied by MRI including diffusion-weighted imaging (DWI), perfusion imaging (PI), and MR-angiography within 6 hours of symptom onset. Multivariate regression analysis was used to identify clinical and imaging predictors of MMI. Results: Of 140 patients included, 27 (19.3%) developed MMI. The following parameters were identified as independent predictors of MMI: larger acute DWI lesion volume (per 1 ml odds ratio [OR] 1.04, 95% confidence interval [Cl] 1.02-1.06; p 82 ml predicted MMI with high specificity (0.98, 95% Cl 0.94-1.00), negative predictive value (0.90, 0.83-0.94), and positive predictive value (0.88, 0.62-0.98), but sensitivity was low (0.52, 0.32-0.71). Interpretation: Stroke MRI on admission predicts malignant course in severe MCA stroke with high positive and negative predictive value and may help in guiding treatment decisions, such as decompressive surgery. In a subset of patients with small initial DWI lesion volumes, repeated diagnostic tests are required. ANN NEUROL 2010;68:435-44