Using qualitative exit interviews to explore schizophrenia burden and treatment experience in clinical trial patients.

Introduction: Qualitative research methods can be used to obtain a deeper understanding of patient experience by collecting information in the patients' own words about their encounters, perspectives, and feelings. In this study, patients with schizophrenia were interviewed to capture their voice and to complement the quantitative data typically obtained in clinical trials. Methods: Semi-structured exit interviews were conducted with 41 patients who completed or prematurely discontinued from a phase 3, open-label trial (NCT02873208). The interview guide included open-ended questions on current and prior disease burden, symptoms, quality of life, and treatment experiences. Steps taken to reduce interview stress and secure the validity of data included interviewer sensitivity training specific to mental health conditions and schizophrenia, use of in-person interviews whenever possible and use of videoconferencing for remote interviews to promote trust and comfort, and working closely with clinical site staff to identify patient eligibility and willingness to participate. Transcripts based on audio recordings were content coded and analyzed using thematic analysis; a post-hoc quantitative content analysis was conducted. Results: Patients reported that the symptoms of schizophrenia negatively impacted their work, relationships, self-esteem, emotional health, and daily activities. Most patients had positive experiences with medications that alleviated hallucinations, depression, and anxiety. However, side effects of medications were associated with negative impacts on physical, emotional, behavioral, and cognitive health. Lack of energy/drowsiness, weight gain, mood changes, and involuntary movements were the most common side effects reported with the use of antipsychotic medications. Patients reported unmet treatment needs related to better symptom control and to improved social and physical functioning. Conclusion: Collection of qualitative information within a schizophrenia clinical development process provides value and insights into patients' views on burden of illness, experiences with previous medications, and experiences following participation in a clinical trial and can inform design for future studies.

Childhood trauma types in relation to antipsychotic effectiveness in schizophrenia spectrum disorders: A prospective, pragmatic, randomized controlled study.

Treatment with antipsychotics (APs) for schizophrenia spectrum disorders (SSDs) is generally effective, however, a significant proportion does not respond favorably. Childhood trauma (CT) subtypes (physical, sexual, and emotional abuse, physical and emotional neglect) could influence treatment effectiveness; however, research is scarce. Heterogeneity in AP response could be explained by differentiating by CT subtype. The present study was based on the Bergen-Stavanger-Trondheim-Innsbruck (BeSt InTro) study. CTQ-SF assessed CT subtypes in SSDs (n = 98). CT subtypes were examined in relation to psychosis symptoms measured by PANSS during one year of treatment with APs, by means of linear mixed effects (LME) models. Results were significant for CT subtypes, where increased levels of sexual abuse and physical neglect were associated with increased mean levels of psychosis symptoms throughout the course of treatment from baseline to 52 weeks. AP effectiveness may thus be influenced by CT subtype in SSDs. The results support clinical guidelines recommending a focus on assessment and treatment of trauma in SSDs.

Individualized multi-modal MRI biomarkers predict 1-year clinical outcome in first-episode drug-naïve schizophrenia patients.

Background: Antipsychotic medications offer limited long-term benefit to about 30% of patients with schizophrenia. We aimed to explore the individual-specific imaging markers to predict 1-year treatment response of schizophrenia. Methods: Structural morphology and functional topological features related to treatment response were identified using an individualized parcellation analysis in conjunction with machine learning (ML). We performed dimensionality reductions using the Pearson correlation coefficient and three feature selection analyses and classifications using 10 ML classifiers. The results were assessed through a 5-fold cross-validation (training and validation cohorts, n = 51) and validated using the external test cohort (n = 17). Results: ML algorithms based on individual-specific brain network proved more effective than those based on group-level brain network in predicting outcomes. The most predictive features based on individual-specific parcellation involved the GMV of the default network and the degree of the control, limbic, and default networks. The AUCs for the training, validation, and test cohorts were 0.947, 0.939, and 0.883, respectively. Additionally, the prediction performance of the models constructed by the different feature selection methods and classifiers showed no significant differences. Conclusion: Our study highlighted the potential of individual-specific network parcellation in treatment resistant schizophrenia prediction and underscored the crucial role of feature attributes in predictive model accuracy.

The Atypical Face of Neuroleptic Malignant Syndrome: A Case Report of Ileus and Absent Rigidity.

Neuroleptic malignant syndrome (NMS) is a rare life-threatening condition associated with the use of antipsychotic medications. This case report describes a male patient in his early 30s who presented with fever, breathlessness, and lower limb weakness, ultimately diagnosed with NMS despite the absence of muscular rigidity. On examination, he was febrile, tachycardic, and tachypneic with an oxygen saturation of 88% and elevated blood pressure. On auscultation diffuse crepitations in both lungs were revealed. Neurological assessment indicated motor strength of 3/5 in both lower limbs, without rigidity, sensory loss, or cerebellar signs. It was noted that he was on irregular atypical antipsychotic medication for the past one year. Laboratory investigations revealed leukocytosis, elevated transaminases, dyselectrolytemia, elevated creatine phosphokinase (CPK), and serum creatinine. NMS was not initially considered due to the lack of muscular rigidity. However, the patient later developed autonomic dysregulation manifestations, such as paralytic ileus. Once organic causes were excluded, NMS was diagnosed. Supportive therapy included 23 cycles of hemodialysis and colonic decompression for pseudo-obstruction. He was treated with intravenous fluids and dopamine receptor agonist medications. NMS usually presents with fever, muscular rigidity, altered mental status, and autonomic instability; yet, the absence of muscular rigidity in this patient is a distinctive and unusual feature.

Technology-Based Strategy to Improve Medication Compliance Among Patients With Schizophrenia Spectrum Disorders.

INTRODUCTION:  Non-compliance to medications remains a challenging problem in schizophrenia. Newer strategies with high feasibility and acceptability are always being researched. This study aimed to assess the effectiveness of technology-based intervention in improving medication compliance in individuals with schizophrenia. METHOD: This was a prospective intervention study where participants were required to use the SuperMD smartphone application (Digital-Health Technologies Pte Ltd, Kuala Lumpur, Malaysia) for a month. A change in the Medication Adherence Rating Scale-Malay Translation (MARS-M) and Malay Translation of Drug Adherence Inventory-9 (MDAI-9) scores indicated a change in compliance and attitude to medication. Positive and Negative Syndrome Scale (PANSS) was used to assess change in symptoms and insight. Medication compliance was also obtained from the SuperMD application. Paired T-test was used to evaluate the significance of changes in mean scores of research variables over the study period. Wilcoxon signed-rank test was used to analyze the subscale of MDAI-9 and the change in PANSS score. The Kruskal-Wallis test was used to determine the effect of the change of insight on the level of compliance with medication. RESULTS: There were 36 participants in this study. The results showed statistically significant improvement in compliance (0.65, p ≤ 0.01) but not in attitude towards medication (0.78, p = 0.065). There was also an improvement in PANNS score (-2.58, P ≤ 0.01). There was no significant change in insight (χ2(2) = 3.802, p = 0.15).  Conclusion:The use of technology-based strategies like SuperMD is effective in improving medication compliance for individuals with schizophrenia.

Comparative Effectiveness of Amisulpride and Clozapine in the Treatment of Schizophrenia: A Systematic Review and Meta-Analysis.

In approximately one-third of individuals with schizophrenia, the illness demonstrates a poor response to standard antipsychotic treatments. Although a relatively small proportion fails to achieve remission after the initial exposure to either first- or second-generation antipsychotic drugs, the condition often becomes progressively more resistant to medication following subsequent relapses. We conducted comprehensive searches in databases such as PubMed and PubMed Central, extracting and assessing data quality using the Cochrane risk-of-bias tool for randomized clinical trials (RCTs). A random effects model was employed to calculate the pooled prevalence and explore heterogeneity, utilizing the I2 statistic. Subgroup analyses differentiated between experimental and placebo groups, while sensitivity analyses assessed the robustness of our findings, and publication bias was examined. Our meta-analysis included a sample size of 323 patients from seven studies out of the 10 selected articles. The pooled sample evaluated the effectiveness of amisulpride and clozapine in treating schizophrenia, with Positive and Negative Syndrome Scale (PANSS)-positive and PANSS-negative scores used in the subgroup analysis. The analysis revealed a heterogeneity of 78% and a statistically significant p-value of <0.05, favoring amisulpride and clozapine for treating schizophrenia either as monotherapy or in combination. These findings indicate that the effectiveness of these drugs is statistically significant. Our study underscores the necessity of conducting larger RCTs to further elucidate the optimal dosage and guideline criteria for prescribing amisulpride, clozapine, or their combination for patients resistant to first- and second-generation antipsychotics.

Exploring the interplay of psychiatric symptoms, antipsychotic medications, side effects, employment status, and quality of life in Chronic Schizophrenia.

BACKGROUND: Many factors contribute to quality of life (QoL) in patients with schizophrenia, yet limited research examined these factors in patients in China. This cross-sectional study explores subjective QoL and its associated factors in patients. METHODS: The QoL was assessed using the Schizophrenia Quality of Life Scale (SQLS). Clinical symptoms were evaluated using the Brief Psychiatric Rating Scale (BPRS) and seven factors were extracted. Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder Scale (GAD-7) were used to assess depression and anxiety. Cognitive impairment was assessed using the Ascertain Dementia 8 (AD8). The Treatment Emergent Symptom Scale (TESS) and Rating Scale for Extrapyramidal Side Effects (RSESE) were used to evaluate the side effects of medications. RESULTS: We recruited 270 patients (male:142,52.6%, mean age:41.9 ± 9.4 years). Positive correlations were observed between SQLS and its subdomains with the total score of BPRS, PHQ-9, GAD-7, AD8, TESS, and RSESE (all P < 0.005). Patients who were taking activating second-generation antipsychotics (SGAs) had lower scores on total SQLS, Motivation/ Energy domain of SQLS (SQLS-ME) as well as Symptoms/ Side effects domain of SQLS (SQLS-SS) compared to those taking non-activating SGAs (all P < 0.005). Multiple regression analysis showed that depressive/ anxiety symptoms and cognitive impairment had significant negative effects on QoL (P ≤ 0.001), while activating SGAs had a positive effect (P < 0.005). Blunted affect and unemployment were inversely associated with the motivation/energy domain (P < 0.001). CONCLUSION: Our findings emphasize the important role of depression/anxiety symptoms and cognitive impairment in the QoL of patients with chronic schizophrenia. Activating SGAs and employment may improve the QoL of these individuals. TRIAL REGISTRATION: This protocol was registered at chictr.org.cn (Identifier: ChiCTR2100043537).

Clozapine Safety in Pregnancy: A Clinical Study.

BACKGROUND AND HYPOTHESIS: Pregnant women with persistent schizophrenia and related disorders may require ongoing antipsychotic treatment, including clozapine. However, the potential risks of using clozapine during pregnancy and the postnatal period remain uncertain. STUDY DESIGN: We conducted a nested case-control study using the National Register of Antipsychotic Medication in Pregnancy (NRAMP) database. Our study assessed pregnancy outcomes among Australian women diagnosed with schizophrenia spectrum disorder and treated with clozapine (n = 14) during the first trimester. These women were compared to 2 subgroups: those treated with quetiapine (n = 53) and those not taking any medication (n = 24) during pregnancy. STUDY RESULTS: We observed higher rates of miscarriage in the clozapine group compared to the quetiapine and drug-free groups. The clozapine group had a higher early pregnancy body mass index but lower overall pregnancy weight gain than the other groups. The prevalence of gestational diabetes was significantly higher in the clozapine group. The percentage of vaginal delivery was higher in the clozapine group than in the other 2 groups. Neonatal outcomes such as gestational age, and Apgar scores were similar across groups. The birth weight was lower in the clozapine group compared to the other 2 groups. CONCLUSIONS: This study suggests that pregnant women taking clozapine and their babies have greater adverse outcomes compared to other groups. Clozapine appears to be associated with a greater risk of miscarriages, maternal gestational diabetes, and lower birth weight. However, the gestational age, Apgar scores, and admission to NICU/SCN were comparable between all groups.

Experiences of schizophrenia patients with treatment buddy support during the COVID-19 pandemic.

Background: Schizophrenia is a major psychiatric disorder affecting physical, psychosocial, and cognitive functioning. Treatment includes pharmacological and psychotherapeutic interventions. Adherence to prescribed medication is critical but reportedly low, because of side effects, failure to understand instructions, a lack of insight about the condition, cognitive deficits, and financial difficulties. Interventions to promote adherence to medication are required. This study introduced a treatment buddy to provide the patient with virtual support in adherence to medication. Aim: The aim of this study was to explore the participants' lived experiences of a treatment buddy support. Setting: A specialised psychiatric clinic in a resource-constrained district of KwaZulu-Natal, South Africa. Methods: A qualitative study design, using semi-structured one-on-one interviews, was used to collect in-depth data from 24 participants, suffering from schizophrenia and who had been offered virtual treatment buddy support for 6 months. Data were analysed using thematic analysis. Results: The intervention improved adherence to medication. Participants indicated that the text messages served as reminders to take their medication daily. An alleviation of associated problems such as sleeping difficulties was observed. Participants were willing to encourage other patients suffering from schizophrenia to join 'treatment buddy services'. Conclusion: The virtual treatment buddy support increased awareness of the importance to adhere to antipsychotic medications among patients suffering from schizophrenia and helped to resolve other schizophrenia-related problems experienced by the participants. Contribution: The study has provided a supportive intervention that can be utilised by mental health institutions to address poor adherence to medication by patients suffering from schizophrenia.

Alterations in the hub structure of whole-brain functional networks in patients with drug-naïve schizophrenia: Insights from electroencephalography-based research.

Aim: This study aimed to identify atypical hubs in the whole-brain networks of patients with schizophrenia (SZ) and examine the effects of antipsychotic medications, using electroencephalography (EEG) data. Methods: We estimated the functional connectivity across all electrodes by applying the phase lag index to the EEG signals of 21 drug-naïve patients with SZ and 31 age-matched healthy controls. Betweenness centrality (BC), a measure of hub status, was calculated for each electrode and frequency band. Data from 14 patients were re-evaluated after initiating treatment with antipsychotic medications. Results: BC values decreased significantly at the Fz site in the beta band, decreased significantly at Pz in the gamma band, and increased significantly at O1 in the gamma band among patients with SZ. These changes persisted after antipsychotic treatment and were unrelated to clinical symptoms. Conclusion: The abnormal hub topology we observed, especially in the high-frequency band, may reflect the pathophysiology of SZ, and this study highlights the utility of BC analysis of EEG data for detecting alterations in the whole-brain networks of patients with SZ.

Electric Shock Sensation and Recurrent Falls as a Side Effect of Clozapine Therapy: A Case Report.

Clozapine is an atypical antipsychotic that acts by blocking mainly dopamine 4 receptors. It is usually prescribed for treatment-resistant schizophrenia as well as treatment-resistant bipolar disorder. Clozapine has a wide profile of side effects that result from blocking different receptors all over the body. A 42-year-old Middle Eastern female is known to have suffered from schizoaffective disorder for many years and had frequent relapses despite compliance with treatment. She was commenced on Clozapine; the patient started complaining of an electric shock sensation throughout her body that resulted in recurrent falls with bilateral leg fractures. She was started on sodium valproate to exclude the possibility of seizure activity but the electric shock sensation did not subside. The decision was made to switch her to aripiprazole and gradually taper down and stop Clozapine which improved her symptoms. Careful monitoring of patients who receive Clozapine is recommended especially during the tapering phase due to the risky adverse events it can bring about. It is essential to understand the side effects in order to tackle them as soon as they arise.

The management of patients with predominant negative symptoms in Slovakia: A 1-year longitudinal, prospective, multicentric cohort study.

BACKGROUND: Predominant negative symptoms (PNSs) in schizophrenia can affect the patients' psychosocial functioning immensely and are less responsive to treatment than positive symptoms. AIMS: The aim of the study was to observe negative symptoms and psychosocial functioning in PNS schizophrenia patients and to understand whether PNS can be improved and with what treatment strategies. METHODS: This was a 1-year, prospective, multicentric cohort study conducted in Slovakia. Adult outpatients with diagnosis of schizophrenia according to ICD-10 and PNS evaluated using the criteria by the European Psychiatric Association's (EPA) guidance were included. Change in negative symptoms, functionality, and treatment patterns were observed. Treatment effectiveness was evaluated using the modified Short Assessment of Negative Domain (m-SAND), the Self-evaluation of Negative Symptoms (SNS) scale, the Personal and Social Performance (PSP) scale, and the Clinical Global Impression - Severity (CGI-S) and the Clinical Global Impression - Improvement (CGI-I) scales. Least-squares (LS) means were calculated for the change from baseline to final visit for the outcomes. RESULTS: The study included 188 patients. Functionality improved as, by the end of the study, fewer patients were unemployed (53%) and more worked occasionally (21%). PNS improved significantly according to both physicians and patients (LS mean change from baseline in m-SAND total score: -10.0 (p-value <0.0001)). Most patients received polytherapy throughout the study. Cariprazine was utilized most (20% monotherapy and 76% polytherapy). Only a few patients discontinued treatment due to adverse drug reactions. CONCLUSIONS: With the right treatment strategy, it is possible to achieve improvement in PNS and everyday functioning in schizophrenia outpatients.

Nurses' practice of metabolic monitoring for patients on antipsychotics in Lesotho.

Background: Severe mental illness is associated with higher physical health morbidities and reduced life expectancy, with an estimated 14.3% of global deaths attributed to mental disorders. Antipsychotic medications (APs) used in treatment contribute to physical health issues, including metabolic and cardiovascular effects. Aim: The aim of this study was to assess nurses' practices regarding metabolic monitoring for patients prescribed antipsychotic medications at Mohlomi Hospital in Lesotho. Setting: The study was conducted at Mohlomi Hospital, the primary psychiatric facility in Lesotho. Methods: Using a cross-sectional design, 44 nurses from Mohlomi Hospital participated in the study. A structured questionnaire assessed nurses' metabolic monitoring practices. Results: Most of the respondents were female (n = 30, 75%), and minority were male (n = 10, 25%). The academic qualifications of respondents were distributed as follows: 40% (16) held a nursing assistant certificate and 22.5% (9) held an advanced nursing diploma, among others. The average age of all respondents was 39.05 (s.d. 8.9), with an average of 8 years of experience in psychiatry (s.d. 7.6). The overall rate of nurses' practices of metabolic monitoring for patients taking antipsychotic medications showed variability, with a mean score of 2.83 (s.d. 0.524). However, only 20% performed ECG tests, 22.5% measured blood pressure, 27.5% tested for glucose abnormalities and 17.5% conducted lipid profile testing. Conclusion: Results revealed a significant gap in the practice of metabolic monitoring among nurses with various aspects of metabolic monitoring, not being adequately monitored. Contribution: The study's findings shall inform policy and guidelines for monitoring patients on antipsychotic medications while guiding future research.

Myxedema Psychosis: Diagnostic Challenges and Management Strategies in Hypothyroidism-Induced Psychosis.

Myxedema psychosis (MP), a rare psychiatric manifestation of hypothyroidism, presents significant diagnostic and therapeutic challenges. This case report details the presentation, diagnosis, and successful management of a 60-year-old woman with MP, who was initially admitted to the psychiatric department for new-onset psychosis following the cessation of hormone replacement therapy after a subtotal thyroidectomy performed 20 years prior. Despite the rarity of psychosis as an initial presentation of hypothyroidism, this case underscores the critical importance of considering endocrine disorders in the differential diagnosis of unexplained psychotic symptoms. The clinical findings included a polymorphic delusional system and auditory hallucinations, without significant abnormalities on magnetic resonance imaging. Elevated thyroid-stimulating hormone (TSH) levels confirmed hypothyroidism, leading to the diagnosis of MP. Treatment with l-thyroxine resulted in complete resolution of symptoms in three weeks, highlighting the efficacy of hormone replacement therapy. This case contributes to the limited literature on MP and echoes the need for awareness among clinicians to ensure timely and accurate diagnosis and treatment.

Clinical experiences of guided tapering of antipsychotics for patients with schizophrenia- a case series.

BACKGROUND: 80% of patients value information on treatment options as an important part of recovery, further patients with a history of psychotic episodes feel excluded from decision making about their antipsychotic treatment, and on top of that, mental health staff is prone to be reluctant to support shared decision making and medication tapering for patients with schizophrenia. This case series aims to demonstrate the tapering of antipsychotic medication and how guided tapering affects the patient's feeling of autonomy and psychiatric rehabilitation. CASE PRESENTATION: We present six patients diagnosed with schizophrenia (International Classification of Mental and Behavioral Disorders- 10th Edition codes F20.0-5, F20.7-9) who underwent professionally guided tapering in our clinic. The clinic aims to guide the patients to identify the lowest possible dose of antipsychotic medication in a safe setting to minimise the risk of severe relapse. Two patients completely discontinued their antipsychotic medication, two suffered a relapse during tapering, one chose to stop the tapering at a low dose, and one patient with treatment resistant schizophrenia, which is still tapering down. CONCLUSIONS: Reducing the antipsychotic dose increased emotional awareness in some patients (n = 4) helping them to develop better strategies to handle stress and increased feelings of recovery. Patients felt a greater sense of autonomy and empowerment during the tapering process, even when discontinuation was not possible. Increased awareness in patients and early intervention during relapse may prevent severe relapse. IMPACT AND IMPLICATIONS: Some patients with schizophrenia might be over medicated, leading to unwanted side effects and the wish to reduce their medication. The patients in our study illustrate how guided tapering of antipsychotic medication done jointly with the patient can lead to improved emotional awareness and the development of effective symptom management strategies. This may in turn lead to a greater sense of empowerment and identity and give life more meaning, supporting the experience of personal recovery.

Higher-Order Intrinsic Brain Network Trajectories After Antipsychotic Treatment in Medication-Naïve Patients With First-Episode Psychosis.

BACKGROUND: Intrinsic brain network connectivity is already altered in first-episode psychosis (FEP), but the longitudinal trajectories of network connectivity, especially in response to antipsychotic treatment, remain poorly understood. The goal of this study was to investigate how antipsychotic medications affect higher-order intrinsic brain network connectivity in FEP. METHODS: Data from 87 antipsychotic medication-naïve patients with FEP and 87 healthy control participants were used. Medication-naïve patients received antipsychotic treatment for 16 weeks. Resting-state functional connectivity (FC) of the default mode, salience, dorsal attention, and executive control networks were assessed prior to treatment and at 6 and 16 weeks after treatment. We evaluated baseline and FC changes using linear mixed models to test group × time interactions within each network. Associations between FC changes after 16 weeks and response to treatment were also evaluated. RESULTS: Prior to treatment, significant group differences in all networks were found. However, significant trajectory changes in FC were found only in the default mode and executive control networks. Changes in FC in these networks were associated with treatment response. Several sensitivity analyses showed a consistent normalization of executive control network FC in response to antipsychotic treatment. CONCLUSIONS: Here, we found that alterations in intrinsic brain network FC were not only alleviated with antipsychotic treatment, but the extent of this normalization was also associated with the degree of reduction in symptom severity. Taken together, our data suggest modulation of intrinsic brain network connectivity (mainly frontoparietal connectivity) as a mechanism underlying antipsychotic treatment response in FEP.

Association Between Persistence with Oral Atypical Antipsychotic Medications and Hospital and Emergency Department Utilization in Medicaid Patients with Schizophrenia.

Purpose: To examine 1-year persistence with oral atypical antipsychotics (OAAPs) for Medicaid patients with schizophrenia and assess the association between OAAP persistence and hospital and emergency department (ED) resource utilization. Patients and Methods: Using 2016-2020 multi-state Medicaid claims data, this retrospective study followed patients diagnosed with schizophrenia for 12 months after initiating OAAP therapy. Patients started on an OAAP with no evidence of antipsychotic use in the previous 6 months were included if they had a diagnosis of schizophrenia, were not dually enrolled in Medicaid and Medicare, did not switch to a long-acting injectable antipsychotic, and were continuously eligible 6 months before and 12 months after the initial OAAP prescription (index date). OAAP persistence was measured allowing for a <60-day gap. All-cause and schizophrenia-related inpatient and emergency department (ED) resource utilization during the follow-up period were compared between OAAP persistent and non-persistent groups. Results: The study sample of 13,007 had an average age of 39.1 years and 57.0% were male. Patients were persistent with their index OAAP for 135 days on average and 73.1% had a ≥60-day gap in antipsychotic therapy post-index. While 32.8% and 28.6% of patients who did not persist with their index OAAP restarted the index OAAP or switched to a different OAAP medication later in the year, respectively, a larger proportion (38.6%) had no further OAAP prescriptions. After adjustment for demographic and clinical variables, compared to non-persistent patients, persisting with OAAPs was significantly associated with fewer all-cause and schizophrenia-related hospitalizations (Incidence Rate Ratio [IRR]=0.742, p<0.001; IRR=0.823, p<0.001; respectively) and ED visits (IRR=0.759, p<0.001; IRR=0.773, p<0.001; respectively). Conclusion: Non-persistence with OAAP medication is common among patients with schizophrenia and associated with negative outcomes including increased utilization of hospital and ED resources. Patient-centered interventions that improve antipsychotic persistence should be implemented to facilitate optimal outcomes in this population.

One-Year Medication Treatment Patterns, Healthcare Resource Utilization, and Expenditures for Medicaid Patients with Schizophrenia Starting Oral Atypical Antipsychotic Medication.

Oral atypical antipsychotic (OAAP) medications are the most commonly prescribed treatment for the management of schizophrenia symptoms. This retrospective study, using Medicaid claims data (2016-2020), followed patients for 12 months after initiating OAAP therapy. Study outcomes included OAAP adherence, switching, augmentation, healthcare resource utilization (HRU), and expenditures. All-cause and schizophrenia-related HRU and expenditures were compared between adherent and nonadherent cohorts. Among 13,007 included patients (39.1 ± 12.8 years of age, 57.0% male, 36.1% Black, 31.8% White, 9.7% Hispanic), 25.7% were adherent to OAAPs (proportion of days covered [PDC] ≥ 0.8). During the 1-year follow-up period, Black individuals were in possession of an OAAP for an average of 166 days compared to 198 and 202 days for White and Hispanic patients, respectively. Approximately 16% of patients switched OAAP medications and 3.2% augmented therapy with an OAAP added to their index medication. Nearly 40% of patients were hospitalized during follow-up and 68.4% had emergency department (ED) visits. A greater proportion of nonadherent patients had all-cause inpatient (41.7% vs. 34.1%, p < 0.001) and ED visits (71.7% vs. 58.8%, p < 0.001) compared to adherent patients. Annual total healthcare expenditures were $21,020 per patient; $3481 higher for adherent versus nonadherent patients. Inpatient expenditures comprised 44.6% and 30.6% of total expenditures for nonadherent and adherent patients, respectively. Hospitalized patients' total expenditures were $23,261 higher compared to those without a hospitalization. Adherence to OAAP medication is suboptimal and associated with increased utilization of costly hospital and ED resources. Efforts to improve therapies and increase medication adherence could improve clinical and economic outcomes among individuals with schizophrenia.

Incidence trend and epidemiology of tic disorders among youths and adults in Korea from 2003 to 2020: A national population-based study.

Tic disorder is a highly prevalent neurodevelopmental disorder; however, research on its incidence trends is still rare. We aimed to investigate its annual incidence rates and the characteristics of incident cases in the general Korean population using data from the National Health Insurance Service-National Health Information Database as a proxy measurement for true incidence in the community. The total number of incident cases and incidence rates of tic disorders from 2003 to 2020 were compared between youths and adults. Both the number of incident cases and the annual incidence rates of tic disorders significantly increased from 2003 to 2020. The overall increasing trend in the incidence rates was significantly greater in youths than in adults; however, the incidence rates in adults showed a relatively recent increase. The male predominance regarding the newly diagnosed case number in youths was no longer observed in adults. Tic disorders occurred more commonly in the low-income group than in the high-income group. Neurodevelopmental comorbidities in youths and mood or anxiety disorders and schizophrenia in adults were more frequently observed. Antipsychotic medication adherence was higher in youths than in adults. Efforts are required to raise awareness and promote expert education for adult patients with tic disorders.

The Effect of Antipsychotics on Prolactinoma Growth: A Radiological and Serological Analysis.

Many antipsychotic (AP) medications work by reducing dopamine levels. As hyperdopaminergia is known to cause psychosis, antipsychotics work to relieve these symptoms by antagonizing dopamine receptors and lowering dopamine levels. Dopamine is also a known negative modulator of the prolactin pathway, which allows for drug agents like dopamine agonists (DAs) to be incredibly effective in managing tumors that secrete excess prolactin (prolactinomas). While the effects of DAs on prolactinoma size and growth have been studied for decades, the effects of APs on prolactinoma size remain to be seen. We hope to investigate the effects of APs on prolactinomas by conducting a thorough PubMed search, including patients with diagnosed prolactinoma on concurrent AP therapy. Our search led to 27 studies with a total of 32 patients. We identified themes regarding seven antipsychotics: risperidone, haloperidol, amisulpride, thioridazine, aripiprazole, olanzapine, and clozapine. Risperidone, haloperidol, amisulpride, and thioridazine caused a significant increase in prolactin in most cases where they were used, and prolactin decreased after their discontinuation. For example, risperidone discontinuation resulted in a decrease in prolactin levels by an average of 66%, while haloperidol, amisulpride, and thioridazine discontinuation lowered prolactin by an average of 82%, 72%, and 89.7%, respectively. However, there were some exceptions in regard to risperidone, haloperidol, and thioridazine, where prolactin levels were not as severely affected. Aripiprazole, olanzapine, and clozapine all had significant reductions in prolactin levels when patients were switched from another antipsychotic, such as risperidone or haloperidol. The average percent decrease in prolactin when switched to aripiprazole was 67.65%, while it was 54.16% and 68% for olanzapine and clozapine, respectively. The effect of individual antipsychotics on prolactinoma size was difficult to ascertain, as imaging was not obtained (or indicated) after every antipsychotic switch, and many patients were taking dopamine agonists concurrently. Therefore, it would be difficult to ascertain which factor affected size more. Also, some patients received surgery or radiotherapy, which completely negated our ability to make any assertions about the effects of certain pharmacological agents. Although it is difficult to ascertain the role that antipsychotic medications play in the formation of prolactinoma, we have found that the cessation of certain antipsychotic medications may lead to a reduction in prolactin levels and possibly the presence of a measurable prolactinoma.