Gray matter (GM) volume deficits have been described in patients with schizophrenia (Sz) and bipolar disorder (BD), but to date, few studies have directly compared GM volumes between these syndromes with methods allowing for whole-brain comparisons. We have used structural magnetic resonance imaging (MRI) and voxel-based morphometry (VBM) to compare GM volumes between 38 Sz and 19 BD chronic patients. We also included 24 healthy controls. The results revealed a widespread cortical (dorsolateral and medial prefrontal and precentral) and cerebellar deficit as well as GM deficits in putamen and thalamus in Sz when compared to BD patients. Besides, a subcortical GM deficit was shown by Sz and BD groups when compared to the healthy controls, although a putaminal reduction was only evident in the Sz patients. In this comparison, the BD patients showed a limited cortical and subcortical GM deficit. These results support a partly different pattern of GM deficits associated to chronic Sz and chronic BD, with some degree of overlapping.
Aim: This study investigated whether biochemical parameters add predictive information concerning risk for weight gain associated with treatment with atypical antipsychotics (AP) to that provided by baseline weight.Methods: Weight changes were assessed in 25 patients with schizophrenia after 3-6 months of treatment. These patients were started on AP monotherapy owing to a first psychotic episode or resumed treatment after at least a 6-month period of abandonment. Anthropometric and biochemical data were collected and analyzed as predictors of early weight change.
Results:The baseline biochemical and anthropometric data were not significantly higher in the patients than in the healthy participants. During follow up, the patients had significant increases in body mass index and total cholesterol and apolipoprotein B level. The baseline weight and leptin level were predictive of weight gain during follow up, with an inverse association in both cases.
Conclusion:Baseline weight and leptin level may help to assess the risk of early weight gain with AP.
Sensorimotor gating deficits are relevant in schizophrenia and can be measured using prepulse inhibition (PPI) of the startle reflex. It is conceivable that such deficits may hinder the cognitive functions in schizophrenia patients. In this study, using PPI and a neuropsychological battery, we studied this possibility in a group of 23 acute, neuroleptic-free schizophrenia patients and 16 controls. A non-significant decrease in PPI was found in the patients as compared to the controls, as well as significant differences in the performance of Trail A and B in Wisconsin Card Sorting and Digit/Symbol Tests. No statistically significant correlations between PPI and neuropsychological performance were found after the correction for multiple comparisons in any group. Our results suggest that PPI deficits in schizophrenia patients may not contribute to the cognitive deficits typical of that illness, at least in patients with a non-significant PPI decrease.
IntroductionIn DSM-V, catatonia is individualized as a disease of its own. The priority is to look first for organic causes like intoxication. We present a clinical case diagnosed with intellectual disability (ID) and catatonia.ObjectiveTo study a case of catatonia which underwent testing using Bush-Francis Catatonia rating scale (BFCRS) prior/after clinical intervention. We therefore study catatonia's etiology in ID population.AimsTo study the etiology of catatonia (and its clinical complications) in ID.MethodOur patient is 48-year-old female with DI. Considering her clinical features of catatonia (using BFCRS) and clinical examination (fever and hypoxia), the case orientated towards a secondary diagnosis. Work-up tests revealed pneumonia in the lower lobe of the right lung (chest radiography showed opacities and blood tests showed Leuokocytosis with a left shift). The case further received a course oral levofloxacin (500 mg/day) and haloperidol was stopped. Valproic acid was also added to a dose of 600 mg/day, which led to clinical improvement. Remaining psychotropic treatment (duloxetine 60 mg/day, lorazepam 15 mg/day, diazepam 35 mg/day) was not modified.ResultsAfter 1 month, the patient improved according to BFCSR score.ConclusionsWe presented a case of presence of catatonia in other psychiatric conditions and undiagnosed general medical conditions. Haloperidol is contraindicated those circumstances and it may have worsened her clinical state (it should be used cautiously in DI). Other medications (gabaergic drugs) should be considered in such settings and rare causes related to hypoxia cannot be ruled out (Table 1).Disclosure of interestThe authors have not supplied their declaration of competing interest.
IntroductionRecent studies suggest that Borderline Personality Disorder (BPD) could be regarded as an affective disorder within the Bipolar Affective Disorder (BP) spectrum. This is supported by evidence suggesting a clinical/neurobiological overlap between these two disorders. The Temperament and Character Inventory Revised (TCI-R) may help differentiate between the two disorders and orientate the clinical approach, considering the evidence of the medium-term temporal stability of TCI-R in a clinical population.ObjectiveWe present a clinical case diagnosed with BD which underwent testing using TCI-R. TCI-R orientated towards a secondary diagnosis of BPD and the case further received a course of Dialectical Behavior Therapy (DBT) which led to clinical improvement. We therefore study the usefulness of TCI-R in this clinical setting.AimsTo study whether TCI-R may help differentiate between BD and BPD in mood stabilized patients.MethodOur patient is a 52-year-old married male diagnosed with BD. Considering his clinical features of impulsivity/instability of behaviors and pathological interpersonal relationships, patient was started on individual DBT (fortnightly, 4 months). Psychotropic treatment (paroxetine 30 mg/day, lithium 1000 mg/day, aripiprazole 15 mg/day) was not modified.ResultsTCI-R scores: harm avoidance (100%), novelty seeking (53%), reward dependence (20%), persistence (18%), self-directedness (1%), cooperativeness (2%) and self-transcendence (48%). After 4 months of therapy, the patient improved in distress tolerance, acceptance, behavioral activation and assertiveness.ConclusionsTCI-R is an inventory for personality traits in which character scores differ markedly between PD and non-PD patients. It is a useful tool in BPD patients orientating the clinician in the differential diagnosis and the treatment approach.Disclosure of interestThe authors have not supplied their declaration of competing interest.
IntroductionSchizoprenia has been associated with decreased oxidative defences which may imply lipid peroxidation and consequent damage of neuronal membranes and myelin sheaths. Recently, animal models have shown changes of the oxidative balance caused by cigarrete smoke exposure at prenatal stages. Thus, we study the impact of tobacco over adult schizophrenia patients.ObjectivesStudy the oxidative role of tobacco in adults diagnosed of schizophrenia.AimAnalyze Isoprostanes (IPs) urine concentrations in patients compared with healthy controls.MethodsWe recruited a sample of 29 patients and 25 controls (descriptive data summarized below).IPs urine concentrations were measured in conjunction with creatinine levels (to normalize the rate of excretion of other analytes). We also evaluated the values of IPs in relation to cigarrete smoke.ResultsThere is a smoking by diagnosis interaction on IPs (p = 0.01). IPs values ??were statistically different between smokers and nonsmokers for the 54 participants (p = 0.02). Nonsmokers mean values were lower (2.80 ± 1.55) than in smokers (4.16 ± 2.41). There were significant differences in IPs concentrations of the smoker patients compared with the respective nonsmokers (p = 0.01). By contrast this was not observed in controls.ConclusionsWe suggest that adult schizophrenia individuals may have increased vulnerability to exogenous pro-oxidative agents such as cigarette smoking.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.