Clinical Usefulness of Amisulpride Add-on Therapy in Schizophrenia Patients without Treatment Response to Second-generation Antipsychotics

Amisulpride Augmentation in Schizophrenia Patients with Poor Response to Olanzapine: A 4-week, Randomized, Rater-Blind, Controlled, Pilot Study

Objective

The purpose of this study was to compare the efficacy and tolerability of continued olanzapine (OLA) versus amisulpride (AMI) augmentation in schizophrenic patients with poor response to OLA monotherapy.

Methods

The present 4-week, randomized, rater-blinded study included 25 patients with schizophrenia who were partially or completely unresponsive to treatment with OLA monotherapy. Eligible subjects were randomly assigned at a 11 ratio to continuation of OLA monotherapy (OLA group) or OLA with AMI augmentation (AMI group). Efficacy was primarily evaluated using the Positive and Negative Syndrome Scale (PANSS) at baseline and at 1, 2, and 4 weeks.

Results

The changes in PANSS total score and PANSS-positive subscale score were significantly different (p < 0.05) between the OLA and AMI groups. The differences between the two groups in PANSS-negative subscale, PANSS-general subscale, Brief Psychiatric Rating Scale, and Clinical Global Impression-Severity (CGI-S) scale scores were not statistically significant.

Conclusion

AMI augmentation could be an effective strategy for patients with schizophrenia who show inadequate early response to OLA monotherapy.

Machine-Learning for Prescription Patterns: Random Forest in the Prediction of Dose and Number of Antipsychotics Prescribed to People with Schizophrenia

Objective

We aimed to predict antipsychotic prescription patterns for people with schizophrenia using machine learning (ML) algorithms.

Methods

In a cross-sectional design, a sample of community mental health service users (SUs; n = 368) with a primary diagnosis of schizophrenia was randomly selected. Socio-demographic and clinical features, including the number, total dose, and route of administration of the antipsychotic treatment were recorded. Information about the number and the length of psychiatric hospitalization was retrieved. Ordinary Least Square (OLS) regression and ML algorithms (i.e., random forest [RF], supported vector machine, K-nearest neighborhood, and Naïve Bayes) were used to estimate the predictors of total antipsychotic dosage and prescription of antipsychotic polytherapy (APP).

Results

The strongest predictor of the total dose was APP. The number of Community Mental Health Centers (CMHC) contacts was the most important predictor of APP and, with APP omitted, of dosage. Treatment with anticholinergics predicted APP, emphasizing the strong correlation between APP and higher antipsychotic dose. RF performed better than OLS regression and the other ML algorithms in predicting both antipsychotic dose (root square mean error = 0.70, R² = 0.31) and APP (area under the receiving operator curve = 0.66, true positive rate = 0.41, and true negative rate = 0.78).

Conclusion

APP is associated with the prescription of higher total doses of antipsychotics. Frequent attenders at CMHCs, and SUs recently hospitalized are often treated with APP and higher doses of antipsychotics. Future prospective studies incorporating standardized clinical assessments for both psychopathological severity and treatment efficacy are needed to confirm these findings.

Changes of Mental State and Serum Prolactin Levels in Patients with Schizophrenia and Depression after Receiving the Combination Therapy of Amisulpride and Chloroprothixol Tablets

OBJECTIVE

To investigate the changes in mental state and serum prolactin levels in patients with schizophrenia and depression after receiving the combination therapy of amisulpride and chloroprothixol tablets.

METHODS

A total of 148 schizophrenic patients with depression were randomly divided into control group (N = 73) and study group (N = 75). The control group was treated with clopidothiol, and the study group was treated with amisulpride. Symptom scores, sleep quality, adverse reactions, therapeutic effects, prolactin, and progesterone levels, HAMD, PANSS, and PSP scores were compared between the two groups.

RESULTS

The symptom scores of both groups were significantly reduced, but when compared to the control group, the symptom scores of the research group were significantly reduced more significantly (P < 0.05); serum GDNF levels of both groups were significantly increased, while serum NSE, IL-1, and MBP levels were significantly reduced (P < 0.05). However, the research group altered more substantially (P < 0.05) than the control group; the overall PSQI score of the research group was lower (P < 0.05) than the control group; and the incidence of adverse responses in the control and study groups was 12.3 percent and 4.0 percent. The research group had a lower rate of adverse responses (P < 0.05) than the control group, and the effective treatment of the control and research groups was 82.2 percent and 98.7%, respectively. The research group had a lower rate of adverse reactions (P < 0.05) than the control group, while the control and research groups' successful treatment rates were 82.2 percent and 98.7%, respectively. When compared to the control group, the research group had a greater treatment efficiency (P < 0.05); blood prolactin and progesterone levels were considerably lowered in both groups, but the reductions in the research group were more evident (P < 0.05). Both groups had considerably lower HAMD and PANSS scores, and both had significantly higher PSP scores, although the difference in the research group was more evident (P < 0.05).

CONCLUSION

For people with schizophrenia and depression, a combination of amisulpride and chloroprothixol pills has a considerable effect. It can help patients with their clinical symptoms and sleep quality while also lowering their serum prolactin levels, which is favorable to their illness recovery. As a result, the combined treatment of amisulpride and chloroprothixol pills deserves to be promoted and used.