Psychotropic Prescription Patterns Research Articles

Impact of the COVID-19 pandemic on psychotropic prescribing: a systematic review

ObjectivesThe global prevalence of mental health disorders has risen significantly since the beginning of the COVID-19 pandemic. The pandemic has additionally caused disruption to mental health services, leading to a...

Suicidality is most centrally situated within network of depression symptom criteria in unipolar depression patients with mood stabilizer in Asia

Lithium and mood stabilizers are considered effective augmentation agents of antidepressants for treatment-resistant depression. Thus, this study aimed to estimate the network structure of depression symptom criteria among unipolar depression patients with mood stabilizers, using data from the Research on Asian Psychotropic Prescription Patterns for mood stabilizers (REAP-MS). We estimated a network of the 9 depression symptom criteria among 411 unipolar depression patients in Asia. Each of the depression symptom criteria was considered to be a dichotomous categorical variable. Suicidality (suicidal ideation or attempt) was the most centrally situated within the network of depression symptoms, followed by depressed mood, loss of energy, anhedonia and weight loss or gain. Contrastingly, concentration problem was the least interconnected. The depression symptom criteria were organized into 4 clusters by the community detection method. The findings suggest that suicidality may be one of the significant therapeutic target symptoms in unipolar depression patients with mood stabilizers.

Prevalence of polypharmacy and factors impacting psychotropic prescribing patterns in women of childbearing potential at inpatient mental health services in Qatar.

Women may experience unique mental disorders due to hormone shifts. Rates of schizophrenia and bipolar disorder are similar between genders, but onset and symptoms may differ. Women tend to use more psychotropic drugs due to limited therapeutic options. This study was aimed to estimate the prevalence of psychotropic polypharmacy among females of childbearing potential and factors impacting prescribing patterns. This was a quantitative retrospective chart review for patients admitted to inpatient units at the Mental Health Hospital in Qatar. SPSS® Statistics was used for data analysis. In addition to descriptive statistics applied, linear regression and binary logistic regression models were used to examine the clinical and sociodemographic factors associated with polypharmacy and full therapeutic response upon discharge, respectively. An alpha value of 0.05 was used. Of the 347 patients, 52.7% of the patients received a prescription of at least two psychotropic drugs upon discharge. Around two-thirds (63.1%) were prescribed at least one antipsychotic. Potential predictors of polypharmacy were age (p = 0.027), longer hospital stay (p = 0.003), family history (p < 0.001), absence of suicidal history (p = 0.005), and a diagnosis of a mood disorder (p = 0.009), or a diagnosis of a psychotic disorder (p = 0.015). A full response upon discharge was less likely to occur in patients with a longer stay (OR = 0.940; p = 0.029) and in those with a substance use disorder (OR = 0.166; p = 0.035). There is a notably high prevalence of total polypharmacy upon discharge. Some identified factors are modifiable. Evidence-based prescription practices through hospital guidelines and education should be emphasized to avoid unreasonable polypharmacy.

Psychotropic Medication Prescription Patterns in Down Syndrome in a Large Pediatric Specialty Clinic.

Objectives: Patterns of psychotropic medication use in children and adolescents with Down syndrome (DS) are largely unknown. Clinical decisions are often made from evidence and experience from individuals with autism spectrum disorder (ASD) or intellectual disability (ID). Methods: Longitudinal data from 670 children with DS who received care in a specialty DS clinic from March 2021 to February 2024 were collected. After each clinic visit, the clinician indicated the presence or absence of co-occurring neurodevelopmental (ND) or mental health (MH) diagnoses, as well as whether the individual was prescribed a psychopharmacological treatment. We used descriptive statistics and analyzed associations between psychotropic medication use, co-occurring ND/MH conditions, and demographic data. Results: 19.1% of patients were prescribed at least one psychotropic medication at their most recent clinical visit. Alpha-agonists were the most commonly prescribed medication class (30.8%), followed by stimulants (18.9%), and antidepressants (16.7%). There was a significant difference in psychotropic medication use by age, with older children having increased odds of being prescribed a psychotropic medication. There were no differences in psychotropic medication use across sex (p = 0.10), race (p = 0.10), or household income (p = 0.16). Conclusions: We found that one-fifth of patients with DS were prescribed psychotropic medications. Nearly every individual with DS who was prescribed a psychotropic medication had a co-occurring ND/MH condition, yet these rates were lower than what have been reported in children with ID, ASD, and attention deficit/hyperactivity disorder. Further research needs to include those with DS to further understand medication efficacy and safe dosing practices to ensure optimal outcomes.

Patterns of Psychotropic Prescribing Practices in Autistic Children and Adolescents: An Australian Perspective of Two Cohorts Five Years Apart.

This study aims to describe the utilisation of psychotropic medications in Australian autistic children and adolescents. All children and adolescents with available Pharmaceutical Benefits Scheme data who endorsed an autism diagnosis in The Longitudinal Study of Australian Children, including both B (n = 233, age 0-1years in wave 1) and K cohorts (n = 157, age 4-5years in wave 1), were included to describe psychotropic prescribing patterns. 212 (54.4%) autistic children and adolescents received at least one psychotropic prescription and 99 (25.4%) had polypharmacy. The most common psychotropic class prescribed was antidepressants (31.3%). Children in the B cohort were more likely to have a parent-reported diagnosis of anxiety or depression (χ2 = 12.18, p < 0.001) and tended to be more likely to have received a psychotropic prescription (χ2 = 3.54, p = 0.06). Psychotropic prescribing in Australian autistic children is common despite limited evidence for efficacy and tolerability of psychotropics in this group.

Prescribing Patterns of Psychotropic Medications for Common Psychiatric Disorders in a Mental Health Hospital in Tabuk.

Mental health disorders are often chronic and disabling conditions that impact different populations, irrespective of age, cultural background, or socioeconomic status. This study aimed to describe the prescribing pattern of psychotropic medications in patients with psychiatric disorders. This research was a retrospective investigation of psychotropic medication prescribing patterns and conducted at Eradah Mental Health Hospital at Tabuk City, SaudiArabia. The data were extracted from the electronic medical database of adult patients presenting to the outpatient and inpatient clinics of a mental health hospital between 2020 and 2023. The diagnosis of psychiatric disorders was identified using the International Classification of Diseases 10th Revision (ICD-10) codes version 2019 for mental and behavioral disorders (F00 to F99). The electronic medication records of 526 patients were reviewed, of whom 510 (97%) were Saudi nationals, 368 (69.9%) were males, 235 (44.7%) were between 31 and 40 years of age, and 233 (44.3%) were outpatients. The most common psychiatric diagnoses were schizophrenia (33.3%), followed by bipolar affective disorder (16.9%). A total of 2,153 medication orders for psychotropic medications were quantified. Second-generation antipsychotics (SGAs) and first-generation antipsychotics (FGAs) were the top prescribed medication classes (1,290, 60%), followed by mood stabilizers (324, 15%). More than one-half of the patients (282, 53.6%) received a combination of antipsychotic and mood stabilizers, and 155 (29.5%) received a combination of antipsychotic and antidepressant medications.No significant differences were observed in prescribing for males and females. Schizophrenia was highly prevalent among adult patients who sought mental healthcare. Polypharmacy of psychotropic medication was common depending on the symptoms' severity and comorbid psychiatric diseases.

Patterns of psychotropic medication prescribing and potential drug-hormone interactions among transgender and gender-diverse adults within 2 years of hormone therapy

BackgroundTransgender and gender-diverse (TGD) people have a high prevalence of psychotropic medication use, yet knowledge about the patient-level psychotropic medication burden is limited. TGD patients may take hormone therapy to meet their gender expression goals. Potential drug-hormone interactions exist between psychotropic medications and hormone therapy, requiring increased knowledge about psychotropic medication use for TGD adults undergoing hormone therapy. ObjectivesThe objective of this study was to examine the extent of psychotropic medication polypharmacy in a cohort of TGD adults within 2 years of starting hormone therapy. We also characterized potential drug-hormone interactions and the association with psychotropic polypharmacy. MethodsRetrospective cross-sectional analysis of patients with ≥1 transgender health-related visit (2007−2017) in the University of Washington Medical System (Seattle, WA). Eligible patients had ≥1 psychotropic medication including antidepressants, antipsychotics, mood stabilizers, and sedative-hypnotics ordered within 2 years of starting hormone therapy (testosterone or estradiol with or without spironolactone, progesterone, finasteride, or dutasteride). We defined psychotropic polypharmacy as ≥2 psychotropic medication orders with overlapping treatment durations for at least 90 days and characterized potential drug-hormone interactions (Lexicomp, Hudson, OH). We descriptively summarized patients with and without polypharmacy (frequencies and percentages) and compared drug-hormone interactions using chi-square or Fishers exact tests (P < 0.05 considered significant). ResultsA total of 184 patients had ≥1 psychotropic medication order within 2 years of hormone therapy; 68 patients (37.0%) had psychotropic polypharmacy. The most frequent type of psychotropic polypharmacy was antidepressant+sedative-hypnotic (18 of 68, 26.5%). More patients had a potential drug-hormone interaction among those with psychotropic polypharmacy (23 of 68, 33.8%) versus those without (8 of 116, 6.9%, P < 0.001). ConclusionAmong TGD patients on psychotropic medications within 2 years of hormone therapy, one-third had psychotropic polypharmacy. Most polypharmacy types appeared to align with mental health treatment guidelines. The number of patients with a potential drug-hormone interaction was significantly higher among those with polypharmacy. Prospective studies are needed to characterize drug-hormone interactions.

Prescription patterns of psychotropics for adults treated with ADHD medications: Analysis of the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) of 2019.

Prescription patterns of psychotropics for adults treated with ADHD medications: Analysis of the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) of 2019.

Prescribing and deprescribing trends in schizophrenia: An overview of inpatients in Belgium and in the Canadian province of Québec.

Although switching to antipsychotic monotherapy improves patient outcomes in schizophrenia, antipsychotic deprescribing is rarely performed, and its use varies between countries, as do psychotropic prescribing patterns. This study aimed to determine factors associated with antipsychotic deprescribing at discharge after a psychiatric hospitalization and to compare psychotropic prescribing patterns between Belgium and Québec, Canada. Data on adult inpatients with schizophrenia were collected retrospectively in seven hospitals. At discharge, the number of antipsychotics had decreased in 22.2% of the 63 Canadian patients and 9.9% of the 516 Belgian patients. A number of factors increased the likelihood of antipsychotic deprescribing: a hospitalization in the Canadian hospital (aOR = 4.13, 95% CI 1.48-11.5), living in a residential facility (aOR = 2.51, 95% CI 1.05-4.39), ≥2 previous antipsychotic trials (aOR = 15.38, 95% CI 3.62-65.36), having an antipsychotic side effect (aOR = 1.86, 95% CI 1.01-3.44) and being in a general hospital (aOR = 2.28, 95% CI 1.09-4.75). Patients on a long-acting injectable antipsychotic (aOR = 0.51, 95% CI 0.26-0.98), with prior clozapine use (aOR = 0.36, 95% CI 0.13-0.95), greater antipsychotic exposure (aOR = 0.35, 95% CI 0.2-0.61) and more hypno-sedatives (aOR = 0.65, 95% CI 0.43-0.98), were less likely to be deprescribed. Specific deprescribing interventions could target patients who are less likely to be deprescribed.

Psychotropic Medication Prescribing to Patients with Dementia Admitted to Acute Hospitals in Ireland.

Psychotropic medications are commonly prescribed to people with dementia (PwD) for non-cognitive symptoms of dementia (NCSD), but have significant risks. A national audit was performed in acute hospitals in the Republic of Ireland (ROI) to establish baseline practice prior to the launch and implementation of a National Clinical Guideline on the appropriate prescribing of psychotropic medications for NCSD. The objective of this study was to analyse psychotropic prescribing patterns and compare these with international data and with existing (limited) data from a previous audit round. The pooled anonymous dataset from the second round of the Irish National Audit of Dementia Care (INAD-2) was analysed. The audit had collected retrospective data from 30 random healthcare records from each of 30 acute hospitals in 2019. Inclusion criteria were a clinical diagnosis of dementia of any type, hospital stay of 72 hours or more, and discharge or death within the audit period. Most hospitals (87%) self-audited their healthcare records, but a random sample of six healthcare records (20%) from each hospital were re-audited by a highly trained healthcare auditor. The audit tool was based on a tool used in the England and Wales National Audit of Dementia audit rounds (Royal College of Psychiatrists), adapted to the Irish healthcare setting and national priorities. In total, 893 cases were included, as one hospital could not retrieve 30 cases even within a more prolonged audit period. The sample comprised 55% females and 45% males; the median age was 84 years (interquartile range 79-88 years) and the majority (89.6%) were >75 years of age. Only 52% of healthcare records specified the type of dementia; within these, the most common diagnosis was Alzheimer's disease (45%). Most PwD (83%) were receiving psychotropic medication on admission; 40% were prescribed new or increased psychotropic medication during admission, mainly for medical indications, including end-of-life care and delirium. Anticonvulsants or cognitive enhancers were rarely prescribed for NCSD in hospital. However, new/increased antipsychotic medication was prescribed for NCSD in 11.8-17.6% of the total cohort, while 4.5-7.7% were prescribed a benzodiazepine for anxiety or NCSD. Overall, there was poor documentation of risk/benefit, or of discussion with the patient/family, and apparently inadequate review for efficacy and tolerability. Concurrently, acetylcholinesterase inhibitors appeared to be underused for cognitive impairment in the community. This audit provides baseline data on psychotropic medication prescription for NCSD in Irish hospitals prior to a specific Irish guideline on this topic. Reflecting this, most PwD were receiving psychotropic medications on admission, and many were prescribed new/increased psychotropic medication in hospital, often without evidence of appropriate decision making and prescribing processes.

Impact of a Caffeine Restriction Policy on Inpatients With Schizophrenia: A Pre-Post Comparison Using Electronic Health Records.

Caffeine is the most commonly used psychostimulant worldwide. Although its large intake is suspected to worsen psychotic symptoms because of increasing dopamine neurotransmission, schizophrenic patients are heavier caffeine consumers than the general population. This study aims to assess the impact of a caffeine restriction policy in a psychiatric hospital on patient psychopathology, hospitalization characteristics, and psychotropic prescribing patterns. It is a retrospective cross-sectional study based on electronic health records of a psychiatric hospital in the French-speaking area of Belgium. Two different periods were compared, the first (n = 142), in 2017, when caffeine was available in the institution and the second (n = 119), between November 2018 and November 2019 after the restriction of access to caffeine was implemented. Adult inpatients with schizophrenia or schizoaffective disorder admitted for an acute hospitalization were included. Antipsychotic exposure, benzodiazepine daily dose, Global Assessment of Functioning scores, length of hospital stay, and some other factors were tested for their potential association with the decaffeinated period. After adjusting for potential confounders, reduced caffeine availability inside the hospital was significantly associated with higher Global Assessment of Functioning scores at discharge (adjusted odds ratio [aOR] = 2.86, 95% confidence interval [CI] = 1.77-4.62) and shorter hospital stays (aOR = 0.68, 95% CI = 0.47-0.99) but was not associated with change in antipsychotic exposure at discharge (aOR = 1.04, 95% CI = 0.64-1.7) or benzodiazepine daily dose (aOR = 0.89, 95% CI = 0.61-1.29). Limiting access to caffeine in psychiatric hospitals is a simple and inexpensive intervention that should be promoted, especially for patients with schizophrenia.

Exposure to psychotropic drugs before and during pregnancy: what has changed over the last two decades?

Trends in prescribing psychotropic drugs before and during pregnancy may have changed over the years, but actual information is lacking. We therefore compared and assessed the exposure and acceptance rates of classes of antipsychotic (+ lithium), anxiolytic, sedative/hypnotic, antidepressant, and psychostimulant before and during pregnancy in the past two decades. All singleton pregnancies with ≥1 prescription of psychotropic drug from six months before pregnancy until child’s birthdate were identified in the pregnancy subset of the IADB.nl prescription database. The prescription patterns of psychotropics were distinguished as continuation rate (CR), initiation rate (IR), discontinuation rate (DR), total exposure rate (TER), and acceptance rate. Singleton pregnancies exposed to psychotropic drugs before and during pregnancy increased from 118.4 to 136.5 (per 1000 singleton pregnancies) between decades. Changing trends were observed in decade 2, including a high increase in the TER of antipsychotic class (3.3 to 6.8) and antidepressant class (23.0 to 40.6). A marked increase for individual drugs was seen for sertraline (TER: 0.6 to 6.6 and PAT: 35.3% to 82.5%), citalopram (TER: 2.3 to 10.0 and PAT: 51.1% to 74.6%), and quetiapine (TER: 0.4 to 3.1 and PAT: 57.1% to 66.0%). Although the total exposure rates of five classes of psychotropics in singleton pregnancies increased in decade 2, only antidepressant class had a higher acceptance rate during pregnancy. Certain SSRI antidepressants and atypical antipsychotics were more frequently prescribed in decade 2 than in decade 1, reflecting that treatment options were preferred for safer treatment choices.

An observational study on drug prescribing pattern of psychotropic medication in psychiatry outpatient department of a medical college in Eastern India

Introduction: There are a few studies on the psychotropic prescription pattern in Eastern India, particularly in West Bengal, with limited statistics and focus, as well as there is no study conducted in health facilities particularly catering to the labor class population. To improve the mental health-care delivery in laborers and their dependents through policy-making, information is required regarding psychotropic prescription patterns in laborers suffering from mental disorders. Materials and Methods: A hospital-based, cross-sectional study was conducted for 6 months. A total of 3000 patients were randomly selected from those who consented to utilize their information for study purposes. DSM-5 was used for psychiatric diagnosis. Descriptive statistic was used to describe drug use pattern. The World Health Organization-drug use indicators were used for analyzing prescriptions. Results: Among 3000 participants, 1114 (37.1%) and 537 (17.9%) were suffering from somatic symptom disorder and generalized anxiety disorder, respectively. Antidepressants and benzodiazepines (BZDs) with Z-drugs together form the major bulk of prescriptions. Amitriptyline, olanzapine, and alprazolam were the most commonly prescribed antidepressants, antipsychotics, and BZDs, respectively. Conclusion: Neurotic and anxiety disorders are major psychiatric morbidity among the labor class population. Antidepressants like amitriptyline and BZDs like alprazolam can meet the majority of mental health needs of laborers. Therefore, policy and provision are required for an adequate availability of these drugs in catering centers.

Risks of complicated acute appendicitis in patients with psychiatric disorders

BackgroundAcute appendicitis often presents with vague abdominal pain, which fosters diagnostic challenges to clinicians regarding early detection and proper intervention. This is even more problematic with individuals with severe psychiatric disorders who have reduced sensitivity to pain due to long-term or excessive medication use or disturbed bodily sensation perceptions. This study aimed to determine whether psychiatric disorder, psychotropic prescription, and treatment compliance increase the risks of complicated acute appendicitis.MethodsThe diagnosis records of acute appendicitis from four university hospitals in Korea were investigated from 2002 to 2020. A total of 47,500 acute appendicitis-affected participants were divided into groups with complicated and uncomplicated appendicitis to determine whether any of the groups had more cases of psychiatric disorder diagnoses. Further, the ratio of complicated compared to uncomplicated appendicitis in the mentally ill group was calculated regarding psychotropic dose, prescription duration, and treatment compliance.ResultsAfter adjusting for age and sex, presence of psychotic disorder (odds ratio [OR]: 1.951; 95% confidence interval [CI]: 1.218–3.125), and bipolar disorder (OR: 2.323; 95% CI: 1.194–4.520) was associated with a higher risk of having complicated appendicitis compared with absence of psychiatric disorders. Patients who are taking high-daily-dose antipsychotics, regardless of prescription duration, show high complicated appendicitis risks; High-dose antipsychotics for < 1 year (OR: 1.896, 95% CI: 1.077–3.338), high-dose antipsychotics for 1–5 years (OR: 1.930, 95% CI: 1.144–3.256). Poor psychiatric outpatient compliance was associated with a high risk of complicated appendicitis (OR: 1.664, 95% CI: 1.014–2.732).ConclusionsThis study revealed a close relationship in the possibility of complicated appendicitis in patients with severe psychiatric disorders, including psychotic and bipolar disorders. The effect on complicated appendicitis was more remarkable by the psychiatric disease entity itself than by psychotropic prescription patterns. Good treatment compliance and regular visit may reduce the morbidity of complicated appendicitis in patients with psychiatric disorders.

Network analysis of psychiatric symptoms in schizophrenia: Findings from the Research on Asian Psychotropic Prescription Patterns for Antipsychotics (REAP-AP).

Schizophrenia is a major mental disorder with a wide range of psychiatric symptoms. This study explored the structure of psychiatric symptoms of schizophrenia using network analysis in a large representative Asian sample based on a survey of clinical features and treatment used in schizophrenia patients across 15 countries/territories in Asia. Data on the demographic characteristics and psychiatric symptoms in schizophrenia patients were extracted from the dataset of the fourth Research on Asia Psychotropic Prescription for Antipsychotics (REAP-AP) project. The presence of the following psychiatric symptoms including delusions, hallucinations, disorganized speech, grossly disorganized or catatonic behavior, negative symptoms, social/occupational dysfunction, verbal aggression, physical aggression, and affective symptoms were analyzed. A total of 3681 patients were included. The network analysis revealed that verbal aggression, hallucinations, and social/occupational dysfunction were the most central symptoms, while the connections between social/occupational dysfunction and verbal aggression, and between hallucinations and disorganized speech were the two strongest edges. There were significant gender differences in the network structure based on the network structure invariance test (M=0.74, P=0.03) and invariant edge strength test. The positive correlation between verbal aggression and hallucinations was significantly stronger in the female network than that in the male network (P=0.03), while a negative correlation between affective symptoms and negative symptoms was found in the female, but not the male network (P<0.01). Central symptoms including verbal aggression, hallucinations, and socio-occupational dysfunction should be addressed in developing targeted treatment strategy for schizophrenia patients.

A Retrospective Chart Review of Factors Impacting Psychotropic Prescribing Patterns and Polypharmacy Rates in Youth with Autism Spectrum Disorder during the COVID-19 Pandemic.

High but variable rates of psychotropic polypharmacy (PP) in youth with autism spectrum disorder (ASD) have been reported in previous studies. The effect of the COVID-19 pandemic on prescribing patterns has not been well described. This study aims to examine the factors associated with psychotropic prescribing patterns, including rates of PP and multiclass polypharmacy (MPP) in youth with ASD during the COVID-19 pandemic. We examined the prescription records and clinical characteristics of youth aged between 3–21 years with a clinical diagnosis of ASD who were followed at an urban tertiary autism center psychiatry clinic between 1 January 2019, and 31 December 2020. For study purposes, we treated 2019 as the pre-pandemic year and 2020 as the pandemic year and compared the clinical characteristics of the “total clinic cohort (n = 898)” across two years. We examined the clinical characteristics of patients seen in both years (“paired-sample,” n = 473) and those seen only in 219 (“not-paired sample,” n = 378) to identify factors associated with the likelihood of patients’ return to clinic in 2020. As the total clinic cohort was a naturalistic sample containing duplicate patients, we created a separate data set by randomly assigning duplicate patients to one of the years (“random unique sample,” n = 898) and examined the clinical characteristics across two years. We defined PP and MPP broadly as the use of ≥2 unique medications (PP) and ≥2 unique medication classes (MPP) within a calendar year in this study. In the total clinic cohort, increased rates of PP (71.6% to 75.6%), MPP (61.9% to 67.8%, p = 0.027), and antidepressant prescriptions (56.9% to 62.9%, p = 0.028) were noted, although only the latter two were nominally significant. The paired-sample had a higher proportion of teens (31.0% vs. 39.7%, p < 0.001 and persons who self-identified as non-Hispanic (77.8% vs. 85.4%, p = 0.016)), higher rates of anxiety (78.9% vs. 48.7%, p < 0.001), ADHD (71.0% vs. 44.4%, p < 0.001), depression (23.9% vs. 13.0%, p < 0.001) and disruptive behavior (63.3% vs. 33.3%, p < 0.001) diagnoses, higher rates of antidepressants (63.4% vs. 48.7%, p < 0.001), ADHD medications (72.5% vs. 59.8%, p < 0.001), and antipsychotics (36.8% vs. 26.2%, p < 0.001) prescribed, and higher rates of PP (81.6% vs. 59.0%, p < 0.001) and MPP (71.0% vs. 50.5%, p < 0.001) than the not-paired sample. In the random unique sample, the patient group assigned to 2020 had higher rates of anxiety (75.0% vs. 60.2%, p < 0.001), ADHD (69.9% vs. 54.6%, p < 0.001), and disruptive behavior (57.9% vs. 45.4%, p < 0.001) diagnoses but the PP and MPP rates did not differ across years. Overall, we found high rates of PP and MPP, likely due to the broader definition of PP and MPP used in this study than those in other studies as well as the study site being a tertiary clinic. While our study suggests a possible impact of the COVID-19 pandemic on comorbidity rates and prescribing patterns, a replication study is needed to confirm how pandemic-related factors impact prescribing patterns and polypharmacy rates in youth with ASD.

A Machine-Learning-Algorithm-Based Prediction Model for Psychotic Symptoms in Patients with Depressive Disorder.

Psychotic symptoms are rarely concurrent with the clinical manifestations of depression. Additionally, whether psychotic major depression is a subtype of major depression or a clinical syndrome distinct from non-psychotic major depression remains controversial. Using data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, we developed a machine-learning-algorithm-based prediction model for concurrent psychotic symptoms in patients with depressive disorders. The advantages of machine learning algorithms include the easy identification of trends and patterns, handling of multi-dimensional and multi-faceted data, and wide application. Among 1171 patients with depressive disorders, those with psychotic symptoms were characterized by significantly higher rates of depressed mood, loss of interest and enjoyment, reduced energy and diminished activity, reduced self-esteem and self-confidence, ideas of guilt and unworthiness, psychomotor agitation or retardation, disturbed sleep, diminished appetite, and greater proportions of moderate and severe degrees of depression compared to patients without psychotic symptoms. The area under the curve was 0.823. The overall accuracy was 0.931 (95% confidence interval: 0.897–0.956). Severe depression (degree of depression) was the most important variable in the prediction model, followed by diminished appetite, subthreshold (degree of depression), ideas or acts of self-harm or suicide, outpatient status, age, psychomotor retardation or agitation, and others. In conclusion, the machine-learning-based model predicted concurrent psychotic symptoms in patients with major depression in connection with the “severity psychosis” hypothesis.

Machine Learning Algorithm-Based Prediction Model for the Augmented Use of Clozapine with Electroconvulsive Therapy in Patients with Schizophrenia.

The augmentation of clozapine with electroconvulsive therapy (ECT) has been an optimal treatment option for patients with treatment- or clozapine-resistant schizophrenia. Using data from the Research on Asian Psychotropic Prescription Patterns for Antipsychotics survey, which was the largest international psychiatry research collaboration in Asia, our study aimed to develop a machine learning algorithm-based substantial prediction model for the augmented use of clozapine with ECT in patients with schizophrenia in terms of precision medicine. A random forest model and least absolute shrinkage and selection operator (LASSO) model were used to develop a substantial prediction model for the augmented use of clozapine with ECT. Among the 3744 Asian patients with schizophrenia, those treated with a combination of clozapine and ECT were characterized by significantly greater proportions of females and inpatients, a longer duration of illness, and a greater prevalence of negative symptoms and social or occupational dysfunction than those not treated. In the random forest model, the area under the curve (AUC), which was the most preferred indicator of the prediction model, was 0.774. The overall accuracy was 0.817 (95% confidence interval, 0.793–0.839). Inpatient status was the most important variable in the substantial prediction model, followed by BMI, age, social or occupational dysfunction, persistent symptoms, illness duration > 20 years, and others. Furthermore, the AUC and overall accuracy of the LASSO model were 0.831 and 0.644 (95% CI, 0.615–0.672), respectively. Despite the subtle differences in both AUC and overall accuracy of the random forest model and LASSO model, the important variables were commonly shared by the two models. Using the machine learning algorithm, our findings allow the development of a substantial prediction model for the augmented use of clozapine with ECT in Asian patients with schizophrenia. This substantial prediction model can support further studies to develop a substantial prediction model for the augmented use of clozapine with ECT in patients with schizophrenia in a strict epidemiological context.

Prescription of Anticholinergic Drugs in Patients With Schizophrenia: Analysis of Antipsychotic Prescription Patterns and Hospital Characteristics.

In several clinical guidelines for schizophrenia, long-term use of anticholinergic drugs is not recommended. We investigated the characteristics of the use of anticholinergics in patients with schizophrenia by considering psychotropic prescription patterns and differences among hospitals. A cross-sectional, retrospective prescription survey at the time of discharge was conducted on 2027 patients with schizophrenia from 69 Japanese hospitals. We examined the relations among psychotropic drug prescriptions regarding anticholinergic prescription. We divided the hospitals into three groups—low rate group (LG), medium rate group (MG), and high rate group (HG)—according to their anticholinergic prescription rates, and analyzed the relationship between anticholinergic prescription rates and antipsychotic prescription. Anticholinergic drugs were prescribed to 618 patients (30.5%), and the prescription rates were significantly higher for high antipsychotic doses, antipsychotic polypharmacy, and first-generation antipsychotics (FGAs) use. The anticholinergic prescription rate varied considerably among hospitals, ranging from 0 to 66.7%, and it was significantly higher in patients with antipsychotic monotherapy, antipsychotic polypharmacy, and normal and high doses of antipsychotics in HG than in those LG and MG. The anticholinergics prescription rate in patients with second-generation antipsychotic monotherapy in HG was also significantly higher than in those LG and MG; however, the difference was no longer significant in patients with FGA monotherapy. Conclusively, in addition to high antipsychotic doses, antipsychotic polypharmacy, and FGA use, hospital characteristics influence the prescribing of anticholinergic drugs.

Dosing of Mood Stabilizers for Bipolar Disorder Patients in the Research on Asian Psychotropic Prescription Patterns Consortium Study.

Because use and dosing of mood stabilizers (MSs) to treat bipolar disorder (BD) patients in Asia are not well documented, we examined prevalence and clinical correlates of treatment of Asian BD patients with relatively high doses of MSs. We conducted a pharmacoepidemiological survey across 13 Asian countries and territory in the Research on Asian Psychotropic Prescription Patterns Consortium. Mood stabilizer doses were converted to lithium carbonate equivalents (Li-eq milligrams per day). We compared relatively high (>900 Li-eq mg/day) versus lower MS doses by bivariate comparisons, followed by multivariable linear regression to identify factors associated with higher MS doses. Among 1647 participants, MS dose averaged 584 (confidence interval, 565-603 Li-eq mg/d). Preliminarily, the 13.1% of the subjects given greater than 900 mg/d versus those given lower doses were younger, male, currently hospitalized, not currently depressed, and reported lifetime suicidal ideation; they also received relatively high doses of antipsychotics, received electroconvulsive treatment within the previous 12 months, and had greater ratings of tremors and sedation. By linear regression modeling, the mean proportion given high doses of MS was associated significantly and independently with higher doses of antipsychotics, younger age, male sex, hospitalized, more years of illness, country, higher body mass index, recent electroconvulsive treatment, and being in illness remission. Relatively high doses of MSs for BD are prevalent, but vary markedly among Asian countries, and are particularly likely among young males, ill for many years, and given high doses of antipsychotics or ECT. These characteristics allow better identification of patient profiles that can guide treatment of BD patients.