Progress in neuro-psychopharmacology & biological psychiatry
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Prog. Neuropsychopharmacol. Biol. Psychiatry · Jun 2013
Melancholic and atypical major depression--connection between cytokines, psychopathology and treatment.
Growing scientific evidence indicates that there is a correlation between depression and alternations in the immune system. The main aim of the study was to investigate serum levels of Interleukin-6 (IL-6) and Tumour Necrosis Factor-alpha (TNF-α) in melancholic and atypical depressive patients during acute exacerbations of illness, compared to healthy subjects. The secondary aim was to explore a possible association between cytokine levels and clinical characteristics, as well as total duration of prior antidepressant treatment. ⋯ Our results suggest that the difference in pro-inflammatory cytokine levels could reflect a biological difference between melancholic and atypical depression. A positive correlation between the cytokines (TNF-α and IL-6) observed in depressive patients with atypical features, might be influenced by chronic course of illness, while IL-6 elevation could represent a state indicator for acute exacerbation, especially in melancholic patients. Total duration of antidepressant treatment could be a relevant factor influencing the immune status of patients who suffer either from melancholic or atypical depression.
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Prog. Neuropsychopharmacol. Biol. Psychiatry · Jun 2013
ReviewPerioperative delirium and its relationship to dementia.
A number of serious clinical cognitive syndromes occur following surgery and anesthesia. Postoperative delirium is a behavioral syndrome that occurs in the perioperative period. ⋯ There are serious concerns as to whether either postoperative delirium or postoperative cognitive dysfunction leads to dementia. These concerns are reviewed in this article.
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Prog. Neuropsychopharmacol. Biol. Psychiatry · Jun 2013
Neuroanatomical pattern classification in a population-based sample of first-episode schizophrenia.
Recent neuroanatomical pattern classification studies have attempted to individually classify cases with psychotic disorders using morphometric MRI data in an automated fashion. However, this approach has not been tested in population-based samples, in which variable patterns of comorbidity and disease course are typically found. We aimed to evaluate the diagnostic accuracy (DA) of the above technique to discriminate between incident cases of first-episode schizophrenia identified in a circumscribed geographical region over a limited period of time, in comparison with next-door healthy controls. ⋯ The spatial map discriminating first-episode schizophrenia patients from healthy controls revealed a complex pattern of regional volumetric abnormalities in the former group, affecting fronto-temporal-occipital gray and white matter regions bilaterally, including the inferior fronto-occipital fasciculus, as well as the third and lateral ventricles. However, an overall modest DA (73.4%) was observed for the individual discrimination between first-episode schizophrenia patients and controls, and the classifier failed to predict 1-year prognosis (remitting versus non-remitting course) of first-episode schizophrenia (DA=58.3%). In conclusion, using a "real world" sample recruited with epidemiological methods, the application of a neuroanatomical pattern classifier afforded only modest DA to classify first-episode schizophrenia subjects and next-door healthy controls, and poor discriminative power to predict the 1-year prognosis of first-episode schizophrenia.