ABSTRACT
BACKGROUND: Data on the pharmacological management of acute agitation in schizophrenia are scarce. The aim of this study is to investigate the prescription practices in the treatment of agitation in Chinese patients with schizophrenia. METHODS: We conducted a large, multicenter, observational study in 14 psychiatry hospitals in China. Newly hospitalized schizophrenia patients with the PANSS-EC total score ≥ 14 and a value ≥4 on at least one of its five items were included in the study. Their drug treatments of the first 2 weeks in hospital were recorded by the researchers. RESULTS: Eight hundred and 53 patients enrolled in and 847 (99.30%) completed the study. All participants were prescribed antipsychotics, 40 (4.72%) were prescribed benzodiazepine in conjunction with antipsychotics and 81 were treated with modified electric convulsive therapy (MECT). Four hundred and 12 (48.64%) patients were prescribed only one antipsychotic, in the order of olanzapine (120 patients, 29.13%), followed by risperidone (101 patients, 24.51%) and clozapine (41 patients, 9.95%). About 435 (51.36%) participants received antipsychotic polypharmacy, mostly haloperidol + risperidone (23.45%), haloperidol+ olanzapine (17.01%), olanzapine+ ziprasidone (5.30%), haloperidol + clozapine (4.37%) and haloperidol + quetiapine (3.90%). Binary logistic regression analysis suggests that a high BARS score (OR 2.091, 95%CI 1.140-3.124), severe agitation (OR 1.846, 95%CL 1.266-2.693), unemployment or retirement (OR 1.614, 95%CL 1.189-2.190) and aggressiveness on baseline (OR 1.469, 95%CL 1.032-2.091) were related to an increased antipsychotic polypharmacy odds. Male sex (OR 0.592, 95%CL 0.436-0.803) and schizophrenia in older persons (age ≥ 55 years, OR 0.466, 95%CL 0.240-0.902) were less likely to be associated with antipsychotic polypharmacy. CONCLUSION: The present study demonstrates that monotherapy and polypharmacy display equally common patterns of antipsychotic usage in managing agitation associated with schizophrenia in China. The extent and behavioral activities of agitation and several other factors were associated with polypharmacy.
Subject(s)
Antipsychotic Agents/therapeutic use , Drug Prescriptions/statistics & numerical data , Hospitalization/statistics & numerical data , Practice Patterns, Physicians'/statistics & numerical data , Schizophrenia/drug therapy , Adult , Aged , Aged, 80 and over , Aggression/drug effects , China , Drug Therapy, Combination , Female , Humans , Inpatients/psychology , Inpatients/statistics & numerical data , Male , Middle Aged , PolypharmacyABSTRACT
Microwave digestion was performed to study the pretreatment methods of aluminum-plastic packaging materials (APPMs). Five different digestion reagent combinations and proportions were thoroughly considered. Digestion results indicated that the most suitable reagent combination was sulfuric and nitric acids with the optimal proportion of 1â¶7 after the orthogonal experiment. Moreover, the possible reasons of the experimental phenomenon were analyzed. The contents of Pb, Cr, Cd, and As in APPMs were subsequently determined via inductively coupled plasma-mass spectrometry (ICP-MS). The satisfactory linearity of calibration curves was obtained with the linear correlation coefficients above 0.999 5, and the instrument detection limits of Pb, Cr, Cd, and As for the current method were 0.215, 0.067, 0.006 and 0.020 ng·mL-1, respectively. Furthermore, the recoveries of standard addition ranged from 83.8% to 111.6%, and the relative standard deviations ranged from 0.5% to 7.4%. Two independent parallel determination results of Pb, Cr, Cd, and As in APPMs were approaching, and the student's t-test (confidence level, α=0.05) showed that the determination results had no significant differences. In conclusion, the present method exhibited fine linearity, low detection limit, high recovery, and good precision, which can accurately be utilized to analyze Pb, Cr, Cd, and As elements in APPMs or other similar materials.
ABSTRACT
BACKGROUND: Neurocognitive impairment is a contributor to major depressive disorder (MDD). However, MDD patients show great variability in the level and course of deficits. The present longitudinal study was to identify predictors of neurocognitive impairment in first-episode MDD patients. METHODS: Neurocognitive performance was analyzed in a cohort of 100 patients at 2years after a first-episode MDD. Subgroups, deficit type vs. non-deficit type, were compared on baseline clinical, neuropsychological, premorbid and sociodemographic characteristics. The analysis was performed using the multivariate logistic regression to obtain a model for neurocognitive impairment determination. The predicted probabilities of multivariate logistic regression were analyzed using receiver operating characteristic (ROC) curve. RESULTS: Fifty-two percent of MDD participants presented general neurocognitive impairment. The regression analyses demonstrated that clinical and sociodemographic characteristics were not predictive variables. A model composed of processing speed, executive function, and attention, dexterity correctly classified 85.8% of the MDD patients with deficit type. ROC curve indicated that the changes of these three cognitions could identify MDD with deficit type from MDD with non-deficit type. In addition, ROC curve also indicated that processing speed and executive function could identify MDD from CN subjects. Finally, processing speed performance was negatively correlated with Hamilton Depression Scale scores in both MDD with deficit and non-deficit type. CONCLUSION: The present study provides novel insights on frequency and neurocognitive profile of subtypes of patients showing impairment. Our results suggest that processing speed impairment is a trait dimension of the disorder related to specific cognitive dysfunctions and the severity of depression.
Subject(s)
Cognition Disorders/etiology , Cognition Disorders/psychology , Depressive Disorder, Major/complications , Depressive Disorder, Major/psychology , Adult , Attention , Cognition , Executive Function , Female , Humans , Logistic Models , Longitudinal Studies , Male , Middle Aged , Neuropsychological Tests , Predictive Value of Tests , Psychiatric Status Rating Scales , ROC Curve , Regression Analysis , Socioeconomic FactorsABSTRACT
We have developed a novel method for the determination of iodate based on the carboxymethyl cellulose-capped CdS quantum dots (QDs). Factors affecting the iodate detection were investigated, and the optimum conditions were determined. Under the optimum conditions, the relative fluorescence intensity of CdS quantum dots was linearly proportional to IO(3)(-) over a concentration range from 1.0 × 10(-8) to 1.0 × 10(-5) mol L(-1) with a correlation coefficient of 0.9987 and a detection limit of 6.0 nmol L(-1). Iodide, being oxidized by bromine to form iodate, was detected indirectly. The method was successfully applied to the determination of iodate and total amount of iodine in table salt samples. The related mechanism was also discussed.