Prescribing trends and indications of antipsychotic medication in Hong Kong from 2004 to 2014: General and vulnerable patient groups

Trends and off-label utilization of antipsychotics in children and adolescents from 2016 to 2021 in China: a real-world study

BACKGROUND

Global antipsychotic usage, including off-label prescriptions, has increased in recent decades. However, trends in China, particularly for children and adolescents, remain unclear. This study explored these trends from 2016 to 2021 and identified factors associated with off-label prescriptions.

METHODS

In this retrospective study, we analyzed on-label and off-label prescriptions based on drug information approved by the China National Medical Products Administration. To identify factors associated with off-label prescriptions, we conducted multivariate logistic regression analysis.

RESULTS

Our study included 48,258 antipsychotic prescriptions, 52.4% (25,295) of which were prescriptions for males. Of these, 61.7% (29,813) were off-label. Over time, the number of antipsychotics and the percentage of off-label prescriptions for children and adolescents overall increased from 2016 to 2021. The use of atypical antipsychotics increased, whereas that of typical antipsychotics decreased. For off-label usage, all of the factors in our study were associated with off-label usage, including age, sex, year, region, department, reimbursement, antipsychotic type, drug expense, number of polypharmacy and diagnoses. Additionally, tiapride (15.8%) and aripiprazole (18.6%) were the most common typical and atypical antipsychotics, respectively. For pediatric diseases, common diagnoses included mood or affective disorders (31.7%) and behavioral and emotional disorders, with onset usually occurring in childhood and adolescence (29.1%). Furthermore, a depressive state was the most common diagnosis for which antipsychotic polypharmacy was used for treatment.

CONCLUSION

In this retrospective study, off-label antipsychotic prescriptions were common, with trends generally increasing among children and adolescents from 2016 to 2021. However, there is a lack of evidence supporting off-label usage, thus emphasizing the need for studies on the efficacy and safety of these treatments.

General practice pharmacist-led antipsychotic physical health monitoring: a prospective intervention scoping study

BACKGROUND

People with severe mental health illness die prematurely, often due to preventable cardiometabolic disease, which can be exacerbated by antipsychotic medicines that are effective for treating mental illness. Literature demonstrates that physical health monitoring, as recommended in guidelines, for people receiving antipsychotics is substandard. Therefore, we aimed to scope the potential of a general practice clinical pharmacist (GPCP)-led multidisciplinary intervention optimising adherence to cardiometabolic monitoring guidelines and delivering polypharmacy reviews.

METHOD

Prospective intervention scoping study in three urban general practices; one usual care, two intervention. Patients 18-65 years old prescribed oral antipsychotics were identified from records, and invited for cardiometabolic monitoring and GPCP medication review, from January to December 2022. Interventions and onward referrals were recorded and collated. Anonymised pre- and post-review data were analysed, and actions were graded for clinical importance.

RESULTS

In total 1.5% (210/14,159) of patients aged 18-65 years met inclusion criteria; usual care practice (n = 58); and intervention practices (n = 152). From baseline, the usual care practice achieved an absolute 7% increase in the cardiometabolic monitoring care bundle (glucose/glycosylated haemoglobin, lipids, blood pressure plus body mass index) versus 19-58% in the intervention practices. Two-thirds (92/152) of patients participated in medication reviews, requiring pharmacological and/or non-pharmacological clinical actions. The majority of actions were graded as moderate importance. Seven percentage of patients were identified as new pre-diabetic/diabetic and 6% were at high risk of cardiovascular disease requiring statin initiation.

CONCLUSION

A pharmacist-led multidisciplinary general practice-based approach may be effective at optimising cardiometabolic monitoring; identifying and treating diabetic and cardiovascular risk factors.

Quetiapine and other antipsychotic medications during pregnancy: a 15-year follow-up of a university hospital birth register

PURPOSE

To survey trends of antipsychotic use during pregnancy and examine the associations between the use of quetiapine or any antipsychotic and adverse obstetric and neonatal outcomes.

METHODS

Birth register study of 36,083 women who gave birth at Kuopio University Hospital, Finland, between 2002 and 2016. Obstetric and neonatal outcomes between women using quetiapine (N = 152) or any antipsychotic (N = 227) were compared to controls (N = 35,133).

RESULTS

Altogether 246 (0.7%) women used antipsychotic medications during pregnancy and 153 (62,2%) of these women used quetiapine. Antipsychotic usage increased from 0.4% to 1.0% during the 15-year follow-up. Women using antipsychotics were more likely to smoke, drink alcohol, use illicit drugs, use other psychotropic medications, and have higher pre-pregnancy body mass index. Quetiapine use was associated with higher risk of increased postpartum bleeding in vaginal delivery (aOR 1.65; 95%CI 1.13-2.42), prolonged neonatal hospitalization (≥5 days) (aOR 1.54; 95%CI 1.10-2.15), and higher placental to birth weight ratio (PBW ratio) (aB 0.009; 95%CI 0.002-0.016). Use of any antipsychotic was associated with a higher risk of gestational diabetes mellitus (aOR 1.64; 95%CI 1.19-2.27), increased postpartum bleeding in vaginal delivery (aOR 1.50; 95%CI 1.09-2.07), prolonged neonatal hospitalization (≥5 days) (aOR 2.07; 95%CI 1.57-2.73), and higher PBW ratio (aB 0.007; 95%CI 0.001-0.012).

CONCLUSION

The use of antipsychotic medications increased among Finnish pregnant women from 2002 to 2016. Pregnant women using antipsychotics appear to have a higher risk for some adverse pregnancy and birth outcomes and may benefit from more frequent maternity care follow-ups.

Association between cumulative exposure periods of flupentixol or any antipsychotics and risk of lung cancer

BACKGROUND

Preclinical evidence suggests that certain antipsychotic medications may inhibit the development of lung cancer. This study aims to investigate the association between incident lung cancer and different cumulative exposure periods of flupentixol or any antipsychotics.

METHODS

Using electronic health records from the Hospital Authority in Hong Kong, this nested case-control study included case participants aged 18 years or older with newly diagnosed lung cancer after initiating antipsychotics between January 1, 2003, and August 31, 2022. Each case was matched to up to ten controls of the same sex and age, who were also antipsychotic users. Multivariable conditional logistic regression models were conducted to quantify the association between lung cancer and different cumulative exposure times of flupentixol (0-365 days [ref]; 366-1825 days; 1826+ days) and any antipsychotics (1-365 days [ref]; 366-1825 days; 1826+ days), separately.

RESULTS

Here we show that among 6435 cases and 64,348 matched controls, 64.06% are males, and 52.98% are aged 65-84 years. Compared to patients with less than 365 days of exposure, those with 366-1825 days of exposure to flupentixol (OR = 0.65 [95% CI, 0.47-0.91]) and any antipsychotics (0.42 [0.38-0.45]) have a lower risk of lung cancer. A decreased risk is observed in patients who have 1826+ days of cumulative use of any antipsychotics (0.54 [0.47-0.60]).

CONCLUSIONS

A reduced risk of lung cancer is observed in patients with more than one year of exposure to flupentixol or any antipsychotics. Further research on the association between lung cancer and other antipsychotic agents is warranted.

Five-year trend of antipsychotic prescription practices in a district Hospital in Ghana: A retrospective study

INTRODUCTION

Antipsychotics are the mainstay treatment for psychotic conditions. Their prescription, however, should come with some caution since the consequences of their side effects can be dire for the patient receiving the prescription. Because of inadequate experts in low-middle-income countries, non-experts are trained through the Mental Health Gap Action Program (MHGAP) to reduce the treatment gap. This retrospective study analyzed the trend of antipsychotic prescriptions in a district hospital where mental health services are delivered by non-experts.

METHODOLOGY

This was a retrospective descriptive study that gathered data between 2015 and 2019 from the electronic database of the hospital. Statistical analysis was conducted using SPSS version 20. We reported the descriptive statistics of our findings in the form of frequencies and percentages.

RESULTS

There was a year-on-year increase in antipsychotic prescriptions over the study period. Starting with 48.1% in 2015 to 56.4% in 2019. The main condition for which antipsychotics were prescribed was psychosis (58.6%), followed by substance use disorder (SUD) (26%). Patients with age ≥ 50 received the most prescription of antipsychotics. Starting from 2015, there was a high percentage of typical antipsychotic prescriptions (90.14%) with atypical antipsychotics being 9.86% and by 2019 atypical antipsychotic prescriptions had shot up to 74.8%. Polypharmacy prescription rate was 8.1% over the study period.

CONCLUSION

Antipsychotics are essential in the treatment of psychosis and other mental health conditions. Prescribers need to know more about these drugs to prescribe them appropriately and to minimize the likelihood of side effects among patients who use these drugs.

Hospitalisations related to administration errors of psychotropic drugs: a nationwide retrospective study between 1998 and 2019 in Australia

Objectives: Medication administration error occurs when there is a discrepancy between what the patient received or was planned to receive and what the doctor originally intended. The aim of this study was to examine the trends in hospitalisation related to administration errors of psychotropic drugs in Australia. Materials and Methods: This was a secular trend analysis study that examined the hospitalisation pattern for medication administration errors of psychotropic drugs in Australia between 1998 and 2019. Data on medication administration errors of psychotropic drugs was obtained from The National Hospital Morbidity Database. We analysed the variation in hospitalisation rates using the Pearson chi-square test for independence. Results: Hospitalisation rates related to administration errors of psychotropic drugs increased by 8.3% [from 36.22 (95% CI 35.36-37.08) in 1998 to 39.21 (95% CI 38.44-39.98) in 2019 per 100,000 persons, p < 0.05]. Overnight-stay hospital admission patients accounted for 70.3% of the total number of episodes. Rates of same-day hospitalisation increased by 12.3% [from 10.35 (95% CI 9.90-10.81) in 1998 to 11.63 (95% CI 11.21-12.05) in 2019 per 100,000 persons]. Rates of overnight-stay hospital admission increased by 1.8% [from 25.86 (95% CI 25.13-26.59) in 1998 to 26.34 (95% CI 25.71-26.97) in 2019 per 100,000 persons]. Other and unspecified antidepressants (selective serotonin and norepinephrine reuptake inhibitors) were the most common reason for hospitalisation accounting for 36.6% of the total number of hospitalisation episodes. Females accounted for 111,029 hospitalisation episodes, representing 63.2% of all hospitalisation episodes. The age group 20-39 years accounted for nearly half (48.6%) of the total number of episodes. Conclusion: Psychotropic drug administration error is a regular cause of hospitalization in Australia. Hospitalizations usually required overnight stays. The majority of hospitalizations were in persons aged 20-39 years, which is concerning and warrants further investigation. Future studies should examine the risk factors for hospitalization related to psychiatric drug administration errors.

Breast cancer risks following antipsychotic use in women with bipolar disorder versus schizophrenia: A territory-wide nested case-control study spanning two decades

Accrued epidemiologic data largely support an association of antipsychotic use with breast cancer in women with schizophrenia. No studies have specifically investigated such risks in women with bipolar disorder. This study aims to examine the association between antipsychotics and breast cancer in women with bipolar disorder and compare it against schizophrenia. We conducted a nested case-control study using a territory-wide public healthcare database in Hong Kong examining women aged ≥18 years with bipolar disorder or schizophrenia. Using incidence density sampling, women with a breast cancer diagnosis were matched by up to 10 control participants. In total, 672 case participants (109 with bipolar disorder) and 6,450 control participants (931 with bipolar disorder) were included. Results show a significant association of first-generation antipsychotics with breast cancer in both women with schizophrenia [adjusted odds ratio (aOR) 1.49, 95% confidence interval (CI) 1.17-1.90] or bipolar disorder (aOR 1.80, 95% CI 1.11-2.93). Second-generation antipsychotics was associated with breast cancer only in women with bipolar disorder (aOR 2.49, 95% CI 1.29-4.79), with no significant association found in women with schizophrenia (aOR 1.10, 95% CI 0.88-1.36). In conclusion, further research on breast cancer risks is warranted for women with bipolar disorder on antipsychotics.

Drug-Associated Liver Injury Related to Antipsychotics: Exploratory Analysis of Pharmacovigilance Data

BACKGROUND

Drug-associated liver injury is one of the most common causes for acute liver failure and market withdrawal of approved drugs. In addition, the potential for hepatotoxicity related to specific substances has to be considered in psychopharmacotherapy. However, systematic evaluations of hepatotoxicity related to antipsychotics are limited.

METHODS

We conducted an exploratory case/non-case study and evaluated pharmacovigilance data from VigiBase related to 30 antipsychotics marketed in the European Union. Reporting odds ratios were calculated for antipsychotics associated with the Standardized Medical Dictionary of Regulatory Activities queries "Drug-related hepatic disorders-comprehensive search" (DRHD-CS) and "Drug-related hepatic disorders-severe events only" (DRHD-SEO).

RESULTS

We found several signals for drug-associated liver injury including signals for severe events: 17 of 30 antipsychotics were associated with DRHD-CS and 10 of 30 antipsychotics with DRHD-SEO. Amisulpride, fluphenazine, levomepromazine, loxapine, olanzapine, perazine, perphenazine, pipamperone, sulpiride, and thioridazine were associated with both, DRHD-CS and DRHD-SEO. No association with fatal outcomes was detected.

CONCLUSIONS

Several common antipsychotics are associated with hepatotoxicity, partly also with severe hepatotoxicity. Our data do not allow to account for patient-related risk factors for drug-associated liver injury. This should be addressed in further studies.

Antipsychotic prescription patterns and associated factors among the elderly with psychiatric illnesses

Prescribing rate of antipsychotics in elderly patients with psychiatric illnesses has been increasing all over the world. However, there is a lack of research examining the use of antipsychotics at psychiatric hospitals. We aim to find out long-term trends in antipsychotic prescriptions and factors associated with the use of antipsychotics in the elderly population. All outpatient visits with patients aged over 65 years between 2006 and 2015 in a psychiatric hospital were included in the analysis. Demographic and clinical data, including patient age, sex, National Health Insurance status, psychiatric diagnosis and antipsychotic prescription, were retrieved through the electronic medical information system. In this study, we found that prescribing rate of antipsychotics has increased around 5.07% through the study period (from 57.25% in 2006 to 60.15% in 2015, P < 0.001). Among all antipsychotics, there was an increase in the use of second-generation antipsychotics with a simultaneous decline in the use of first-generation antipsychotics. Logistic regression analysis showed advanced age, female gender and certification for catastrophic illnesses were positively associated with the use of antipsychotics. Furthermore, patients most likely to be prescribed an antipsychotic were those with psychotic disorders, followed by dementia, and then affective or neurotic disorders. The results of this study were consistent with the worldwide trend of increasing prescriptions of second-generation antipsychotics among elderly patients with psychiatric illnesses. Despite the potential benefits of these medications on certain psychiatric symptoms, clinicians need to exercise due caution as they may also cause potentially serious side effects among the elderly population.

Antipsychotic prescribing patterns in Australia: a retrospective analysis

BACKGROUND

To examine real-world patterns of antipsychotic use in patients with schizophrenia Australia.

METHODS

This retrospective cohort analysis was conducted using the Australian Commonwealth Department of Human Services Pharmaceutical Benefits Scheme (PBS) 10% sample data. Included data were for patients aged 16-years or older who initiated treatment for the first time with a PBS-reimbursed antipsychotic medication for schizophrenia between July 2013 and September 2017. Patterns of treatment usage were summarised descriptively. Differences in prescribing patterns by age and prescribing year were reported. Treatment persistence was estimated using Kaplan-Meier methods, with differences explored using log-rank tests. Values of p < 0.05 were considered statistically significant.

RESULTS

6,740 patients, representing 8,249 non-unique patients, received prescriptions for antipsychotic medications. Patients were aged 16 years to over 85 years (54.5% were < 55 years) and two-thirds of patients were male (61%). The majority of treatment episodes (62%, n = 5,139/8,249) were prescribed an atypical oral antipsychotic. Typical long-acting antipsychotic therapies (LATs) were prescribed 19% of the treatment episodes (n = 1,608/8,249. There was a small increase in prescribing of atypical LAT and typical LAT and a small decrease in atypical oral and clozapine prescribing over the study period. Treatment persistence was greatest in patients treated with clozapine, than in those treated with atypical LATs.

CONCLUSIONS

While the majority of patients receive atypical antipsychotic medications, one in five continue to use older typical LAT therapies. Patient age and time on therapy may be associated with choice of therapy. Persistence to atypical LAT therapy is better than for other treatment modalities in this real-world cohort.

Polypharmacy and Mental Health Issues in the Senior Hemodialysis Patient

Hemodialysis (HD) is the most common method of chronic kidney failure (CKF) treatment, with 65% of European patients with CKF receiving HD in 2018. Regular two to three HD sessions weekly severely lower their quality of life, resulting in a higher incidence of depression and anxiety, which is present in one third to one half of these patients. Additionally, the age of patients receiving HD is increasing with better treatment and care, resulting in more cognitive impairment being uncovered. Lastly, patients with other mental health issues can also develop CKF during their life with need for kidney replacement therapy (KRT). All these conditions need to receive adequate care, which often means prescribing psychotropic medications. Importantly, many of these drugs are eliminated through the kidneys, which results in altered pharmacokinetics when patients receive KRT. This narrative review will focus on common issues and medications of CKF patients, their comorbidities, mental health issues, use of psychotropic medications and their altered pharmacokinetics when used in HD, polypharmacy, and drug interactions, as well as deprescribing algorithms developed for these patients.

Metabolic events associated with the use of antipsychotics in children, adolescents and young adults: a multinational sequence symmetry study

It is known that younger patients treated with antipsychotics are at increased risk of metabolic events; however, it is unknown how this risk varies according to ethnicity, the class of antipsychotic and the specific product used, and by age group. We conducted a multinational sequence symmetry study in Asian populations (Hong Kong, Japan, Korea, Taiwan and Thailand) and non-Asian populations (Australia and Denmark) to evaluate the metabolic events associated with antipsychotics in both Asian and non-Asian populations, for typical and atypical antipsychotics, and by the subgroups of children and adolescents, and young adults. Patients aged 6-30 years newly initiating oral antipsychotic drugs were included. We defined a composite outcome for metabolic events which included dyslipidemia, hypertension and hyperglycemia. We calculated the sequence ratio (SR) by dividing the number of people for whom a medicine for one of the outcome events was initiated within a 12-month period after antipsychotic initiation by the number before antipsychotic initiation. This study included 346,904 antipsychotic initiators across seven countries. Antipsychotic use was associated with an increased risk of composite metabolic events with a pooled adjusted SR (ASR) of 1.22 (95% CI 1.00-1.50). Pooled ASRs were similar between Asian (ASR, 1.22; 95% CI 0.88-1.70) and non-Asian populations (ASR, 1.22; 95% CI 1.04-1.43). The pooled ASR for typical and atypical antipsychotics was 0.98 (95% CI 0.85-1.12) and 1.24 (95% CI 0.97-1.59), respectively. No difference was observed in the relative effect in children and adolescents compared to young adults. The risk of metabolic events associated with antipsychotics use was similar in magnitude in Asian and non-Asian populations despite the marked difference in drug utilization patterns.

Cardiovascular and metabolic risk of antipsychotics in children and young adults: a multinational self-controlled case series study

AIMS

The risk of antipsychotic-associated cardiovascular and metabolic events may differ among countries, and limited real-world evidence has been available comparing the corresponding risks among children and young adults. We, therefore, evaluated the risks of cardiovascular and metabolic events in children and young adults receiving antipsychotics.

METHODS

We conducted a multinational self-controlled case series (SCCS) study and included patients aged 6-30 years old who had both exposure to antipsychotics and study outcomes from four nationwide databases of Taiwan (2004-2012), Korea (2010-2016), Hong Kong (2001-2014) and the UK (1997-2016) that covers a total of approximately 100 million individuals. We investigated three antipsychotics exposure windows (i.e., 90 days pre-exposure, 1-30 days, 30-90 days and 90 + days of exposure). The outcomes were cardiovascular events (stroke, ischaemic heart disease and acute myocardial infarction), or metabolic events (hypertension, type 2 diabetes mellitus and dyslipidaemia).

RESULTS

We included a total of 48 515 individuals in the SCCS analysis. We found an increased risk of metabolic events only in the risk window with more than 90-day exposure, with a pooled IRR of 1.29 (95% CI 1.20-1.38). The pooled IRR was 0.98 (0.90-1.06) for 1-30 days and 0.88 (0.76-1.02) for 31-90 days. We found no association in any exposure window for cardiovascular events. The pooled IRR was 1.86 (0.74-4.64) for 1-30 days, 1.35 (0.74-2.47) for 31-90 days and 1.29 (0.98-1.70) for 90 + days.

CONCLUSIONS

Long-term exposure to antipsychotics was associated with an increased risk of metabolic events but did not trigger cardiovascular events in children and young adults.

Association Between Prenatal Exposure to Antipsychotics and Attention-Deficit/Hyperactivity Disorder, Autism Spectrum Disorder, Preterm Birth, and Small for Gestational Age

IMPORTANCE

The risk of birth and neurodevelopmental complications with prenatal exposure to antipsychotics is unclear.

OBJECTIVE

To evaluate the association between prenatal antipsychotics exposure and the risk of birth and neurodevelopmental problems.

DESIGN, SETTING, AND PARTICIPANTS

This population-based cohort study included children born between January 2001 and January 2015 with follow-up to December 2019 who were identified by the Hong Kong Clinical Data Analysis and Reporting System. Pregnancies with maternal antidepressant/lithium exposure were removed. Primary analyses compared gestationally exposed and gestationally nonexposed individuals with propensity score fine stratification. Additional analyses included gestationally exposed individuals vs those with past exposure and a sibling-matched analysis to evaluate the effect of confounding by indication.

EXPOSURES

Prenatal antipsychotic exposure.

MAIN OUTCOMES AND MEASURES

Preterm birth (<37 gestational weeks), small for gestational age (birth weight <2 standard deviations below the mean for gestational age), and first diagnosis of attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) in children.

RESULTS

The cohorts included 333 749 mother-child pairs for ADHD (mean [SD] maternal age at delivery, 31.46 [5.03] years) and 411 251 pairs for ASD, preterm birth, and small for gestational age analyses (mean [SD] maternal age at delivery, 31.56 [5.01] years). There were 13 196 children (3.95%) with a diagnosis of ADHD, 8715 (2.12%) with ASD, 33 891 (8.24%) preterm, and 7009 (1.70%) who were small for gestational age. The weighted hazard ratio (wHR) was 1.16 (95% CI, 0.83-1.61) for ADHD and 1.06 (95% CI, 0.70-1.60) for ASD, while the weighted odds ratio (wOR) was 1.40 (95% CI, 1.13-1.75) for preterm birth and 1.36 (95% CI, 0.86-2.14) for small for gestational age when comparing gestationally exposed with gestationally nonexposed individuals. Additional analyses showed no association when comparing gestationally exposed individuals with those with past exposure (ADHD: wHR, 0.99; 95% CI, 0.60-1.61; ASD: wHR, 1.10; 95% CI, 0.58-2.08; preterm birth: wOR, 0.93; 95% CI, 0.70-1.24; small for gestational age: wOR, 1.21; 95% CI, 0.66-2.20) and in a sibling-matched analysis (ADHD: wHR, 0.41; 95% CI, 0.04-4.93; ASD: wHR, 0.90; 95% CI, 0.40-2.01; preterm birth: wOR, 1.25; 95% CI, 0.85-1.82; small for gestational age: wOR, 0.86, 95% CI, 0.32-2.31).

CONCLUSIONS AND RELEVANCE

In this cohort study, the findings did not suggest that prenatal antipsychotics exposure increased the risk of ADHD, ASD, or small for gestational age. In the primary analysis, there was a small increased risk of preterm birth, but additional analyses comparing gestationally exposed individuals with those with past exposure and comparing gestationally exposed with gestationally nonexposed siblings did not support an increased risk. Given the benefits of treating psychosis during pregnancy, our findings do not support a recommendation for women to discontinue receipt of their regular antipsychotic treatment during pregnancy.

Off-label use of antipsychotic medications in psychiatric inpatients in China: a national real-world survey

BACKGROUND

The off-label use of antipsychotic medications is common in many countries, and the extent of such use in psychiatric inpatients in China has not been sufficiently studied. The purpose of this study was to survey the incidence and examine the correlates of off-label antipsychotic use in a large, nationally-representative sample in China.

METHODS

This study included discharged psychiatric patients between March 19 and 31, 2019 from 41 tertiary psychiatric hospitals across 29 provinces in China. Their socio-demographic and clinical data were collected and analyzed.

RESULTS

After excluding patients with schizophrenia spectrum disorder or bipolar disorder, 981 patients were included in the analysis. Overall, antipsychotics were prescribed to 63.2% (95%CI 60.2-66.2%) of the sample. Antipsychotics were used in a wide spectrum of psychiatric disorders, with the rate being the highest among patients with dissociative (conversion) disorders (89.9, 95%CI 83.0-94.8%), organic mental disorders (81.7, 95%CI 73.1-88.7%), dementia (79.0,95%CI 67.8-87.9%), obsessive-compulsive disorder (77.8, 95%CI 55.7-92.5%), mental disorders due to psychoactive substances (75.3,95%CI 64.7-84.2%), behavioural and emotional disorders with onset usually occurring in childhood and adolescence (71.4, 95%CI 45.5-90.1%), somatoform disorders (63.2, 95%CI 40.8%-82..2%), major depression disorder (53.7,95%CI 48.8-58.6%), anxiety disorder (38.8,95%CI 30.5-47.7%), and insomnia (25.0, 95%CI 8.5-28.9%). The top three most commonly used antipsychotics were olanzapine (29.1%), quetiapine (20.3%) and risperidone (6.8%), and their corresponding average doses were 9.04 ± 5.80 mg/day, 185.13 ± 174.72 mg/day, and 2.98 ± 1.71 mg/day, respectively. A binary logistic regression showed that younger age, having the Employee Health Insurance or Residents Health Insurance, having psychotic symptoms and requiring restraint during hospitalization were significantly associated with off-label use of antipsychotics.

CONCLUSION

Off-label use of antipsychotics is very common in psychiatric inpatients in China, mainly with moderate-dose use of single agents. However, the efficacy and safety of this practice is uncertain for many diagnoses and for the elderly. Clinicians should be cautious about this practice while waiting for more research data.

The use of antipsychotic agents during pregnancy and the risk of gestational diabetes mellitus: a systematic review and meta-analysis

BACKGROUND

Previous studies have found contradicting results with regard to the use of antipsychotics during pregnancy and the risk of gestational diabetes mellitus (GDM). We aimed to evaluate the association between antipsychotic use in pregnancy and GDM.

METHODS

A systematic literature search was conducted in PubMed, EMBASE, PsycINFO and Cochrane Library databases up to March 2019, for data from observational studies assessing the association between gestational antipsychotic use and GDM. Non-English studies, animal studies, case reports, conference abstracts, book chapters, reviews and summaries were excluded. The primary outcome was GDM. Estimates were pooled using a random effect model, with the I2 statistic used to estimate heterogeneity of results. Our study protocol was registered with PROSPERO number: CRD42018095014.

RESULTS

In total 10 cohort studies met the inclusion criteria in our systematic review with 6642 exposed and 1 860 290 unexposed pregnancies. Six studies were included in the meta-analysis with a pooled adjusted relative risk of 1.24 overall [95% confidence interval (CI) 1.09-1.42]. The I2 result suggested low heterogeneity between studies (I2 = 6.7%, p = 0.373).

CONCLUSION

We found that the use of antipsychotic medications during pregnancy is associated with an increased risk of GDM in mothers. However, the evidence is still insufficient, especially for specific drug classes. We recommend more studies to investigate this association for specific drug classes, dosages and comorbidities to help clinicians to manage the risk of GDM if initiation or continuation of antipsychotic prescriptions during pregnancy is needed.

Prenatal exposure to antipsychotic agents and the risk of congenital malformations in children: A systematic review and meta-analysis

OBJECTIVE

To evaluate the association between antipsychotic use in pregnancy and the risk of congenital malformations in children.

DATA SOURCES

Searches of PubMed, EMBASE, PsycINFO and Cochrane Library were conducted from inception to 06 January 2020 using keywords: antipsychotics, pregnancy, pregnancy complication and congenital abnormalities.

STUDY SELECTION

Of 38 reports initially identified as being of potential interest, 13 studies met our inclusion criteria: English observational studies that examined the association between gestational antipsychotic use and congenital malformations in children.

DATA EXTRACTION

Data were extracted independently by 2 investigators including the publication year, study site, study period, data source, study design, sample size, medication exposure, exposure period and pregnancy definition, exposure as well as outcome ascertainment, selection of study and comparison group, confounding adjustment, statistical analysis, and method of linkage between mother and children. Risk estimates were pooled using a random-effect model and the I² statistic was used to evaluate the degree of heterogeneity.

RESULTS

Thirteen studies met our systematic review inclusion criteria. Six studies with a total of 2 515 272 pregnancy episodes were included in our meta-analysis, which provided a pooled adjusted risk ratio of 1.23, 95% confidence interval: 0.96-1.58. The I² result showed moderate heterogeneity between studies (I² = 35.2%, P = .173).

CONCLUSION

We did not find strong evidence of an association between prenatal exposure to antipsychotic medications and the risk of congenital malformations in children. We recommend further studies investigate this association, focusing on specific medication classes and dose responses, which would help clinicians decide whether to prescribe certain antipsychotics during pregnancy.

Association between antipsychotic use in pregnancy and the risk of gestational diabetes: Population-based cohort studies from the United Kingdom and Hong Kong and an updated meta-analysis

AIMS

To investigate whether exposure to antipsychotic medications during pregnancy is associated with gestational diabetes mellitus (GDM) in United Kingdom (UK) and Hong Kong (HK) population cohorts.

METHODS

Two population-based cohort studies were conducted using data from the UK The Health Improvement Network (THIN) and HK Clinical Data Analysis and Reporting System (CDARS). Nondiabetic women who received any type of antipsychotic medicine before their first pregnancy were included in our cohorts. The exposed group comprised women who continued using antipsychotics from the start of pregnancy to delivery (continuers), while the comparison group included women who were prescribed antipsychotics before the start of pregnancy but stopped during pregnancy (discontinuers). GDM was identified using GDM diagnosis and/or clinicians reported GDM. Odds ratios (ORs) with a 95% confidence interval (CI) were calculated to assess the association between antipsychotic use during pregnancy and GDM. Propensity Score fine-stratification weighting was used to adjust for potential confounding factors.

RESULTS

3114 women with registered first pregnancies (2351 in THIN and 763 in CDARS) were included. 5.49% (2.55% in THIN and 14.55% in CDARS) were diagnosed with GDM. The adjusted OR of GDM in continuers was 0.73 (95% CI: 0.43-1.25) in THIN and 1.16 (95% CI: 0.78-1.73) in CDARS compared with discontinuers.

CONCLUSIONS

Our results do not suggest an increased risk of GDM in women who continued using antipsychotics during pregnancy compared to women who stopped. Based on these results, women should not stop their regular antipsychotics prescriptions in pregnancy due to the fear of GDM.

Predicting dementia diagnosis from cognitive footprints in electronic health records: a case-control study protocol

INTRODUCTION

Dementia is a group of disabling disorders that can be devastating for persons living with it and for their families. Data-informed decision-making strategies to identify individuals at high risk of dementia are essential to facilitate large-scale prevention and early intervention. This population-based case-control study aims to develop and validate a clinical algorithm for predicting dementia diagnosis, based on the cognitive footprint in personal and medical history.

METHODS AND ANALYSIS

We will use territory-wide electronic health records from the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong between 1 January 2001 and 31 December 2018. All individuals who were at least 65 years old by the end of 2018 will be identified from CDARS. A random sample of control individuals who did not receive any diagnosis of dementia will be matched with those who did receive such a diagnosis by age, gender and index date with 1:1 ratio. Exposure to potential protective/risk factors will be included in both conventional logistic regression and machine-learning models. Established risk factors of interest will include diabetes mellitus, midlife hypertension, midlife obesity, depression, head injuries and low education. Exploratory risk factors will include vascular disease, infectious disease and medication. The prediction accuracy of several state-of-the-art machine-learning algorithms will be compared.

ETHICS AND DISSEMINATION

This study was approved by Institutional Review Board of The University of Hong Kong/Hospital Authority Hong Kong West Cluster (UW 18-225). Patients' records are anonymised to protect privacy. Study results will be disseminated through peer-reviewed publications. Codes of the resulted dementia risk prediction algorithm will be made publicly available at the website of the Tools to Inform Policy: Chinese Communities' Action in Response to Dementia project (https://www.tip-card.hku.hk/).

Antipsychotics and Risk of Neuroleptic Malignant Syndrome: A Population-Based Cohort and Case-Crossover Study

BACKGROUND

Neuroleptic malignant syndrome (NMS) is a rare and acute adverse drug reaction associated with antipsychotic therapy. However, few data on the risk and epidemiology of NMS are available.

OBJECTIVES

The aim of this study was to ascertain the incidence risk and all-cause mortality of NMS associated with antipsychotic use, and to assess the association of recent antipsychotic exposure and NMS.

METHODS

We did a population-based study using data from the Hong Kong Hospital Authority's Clinical Data Analysis and Reporting System database. Cases had a first diagnosis of NMS between 1 January 2004 and 30 November 2017. A case-crossover analysis was used to compare antipsychotic exposure 30 days before the diagnosis of NMS (index date) and a reference period 91-120 days before the index date. To adjust for potential time trends in antipsychotic exposure, we sampled from cases to match current cases and future cases, and further adjusted for select medications and acute medical conditions.

RESULTS

297,647 patients were prescribed antipsychotics, and the incidence risk of NMS was 0.11%. Of the 336 cases included in the case-crossover analysis, 20 (6%) died within 30 days after the index date; only one case had NMS recorded as the primary cause of death. When compared with the reference period, cases were more frequently prescribed multiple antipsychotics (15.8% vs 26.8%; standardized mean difference [SMD] 0.27) and short-acting injectable antipsychotics (3.6% vs 13.7%; SMD 0.37) during the 30 days prior to the diagnosis of NMS. Odds ratios for antipsychotic exposure in the case-crossover, case-crossover adjusted for time trend, and case-crossover adjusted for time trend and potential confounders analysis were 8.00 (95% confidence interval 3.42-18.69), 5.88 (2.46-14.04), and 4.77 (1.95-11.66).

CONCLUSIONS

Our results suggest that recent use of antipsychotics is associated with NMS. Although a case-only design inherently controls for confounding by time-invariant factors, residual confounding by acute medical conditions with similar presentations to NMS cannot be fully excluded.

Use of Psychotropic Medication During Lactation in Postpartum Psychiatric Patients: Results from an 8-Year Clinical Sample

Objective: The aim of this study was to examine the lactation status and prevalence of use of psychotropic medications in perinatal psychiatric patients. Methods: Clinical data collated for a period of 8 years were retrospectively retrieved from patient registers. The sample included a total of 263 postpartum patients who were followed up for at least 4 weeks. Psychiatric diagnoses were ascertained by a structured clinical interview. Results: The most commonly administered psychotropic medications were paroxetine (43.3%), sertraline (31.9%), olanzapine (12.2%), and quetiapine (6.1%). Of the 242 patients who received psychotropic medication, 41 (16.9%) discontinued breastfeeding. The discontinuation in most cases was not due to psychiatrist's recommendation or adverse events due to medications. Conclusion: Paroxetine and sertraline are frequently used by postpartum psychiatric patients in our clinical sample. In addition, the results suggesting that most psychiatric patients included in this study can continue breastfeeding during pharmacotherapy should be confirmed by data derived from further clinical samples.

Antipsychotic drug use in pregnancy: A multinational study from ten countries

AIM

To compare the prevalence and trends of antipsychotic drug use during pregnancy between countries across four continents.

METHODS

Individually linked health data in Denmark (2000-2012), Finland (2005-2014), Iceland (2004-2017), Norway (2005-2015), Sweden (2006-2015), Germany (2006-2015), Australia (New South Wales, 2004-2012), Hong Kong (2001-2015), UK (2006-2016), and the US (Medicaid, 2000-2013, and IBM MarketScan, 2012-2015) were used. Using a uniformed approach, we estimated the prevalence of antipsychotic use as the proportion of pregnancies where a woman filled at least one antipsychotic prescription within three months before pregnancy until birth. For the Nordic countries, data were meta-analyzed to investigate maternal characteristics associated with the use of antipsychotics.

RESULTS

We included 8,394,343 pregnancies. Typical antipsychotic use was highest in the UK (4.4%) whereas atypical antipsychotic use was highest in the US Medicaid (1.5%). Atypical antipsychotic use increased over time in most populations, reaching 2% in Australia (2012) and US Medicaid (2013). In most countries, prochlorperazine was the most commonly used typical antipsychotic and quetiapine the most commonly used atypical antipsychotic. Use of antipsychotics decreased across the trimesters of pregnancy in all populations except Finland. Antipsychotic use was elevated among smokers and those with parity ≥4 in the Nordic countries.

CONCLUSION

Antipsychotic use during pregnancy varied considerably between populations, partly explained by varying use of the typical antipsychotic prochlorperazine, which is often used for nausea and vomiting in early pregnancy. Increasing usage of atypical antipsychotics among pregnant women reflects the pattern that was previously reported for the general population.

Mortality Risk Associated with Haloperidol Use Compared with Other Antipsychotics: An 11-Year Population-Based Propensity-Score-Matched Cohort Study

BACKGROUND

Haloperidol remains a frequently prescribed first-generation antipsychotic. However, haloperidol-associated mortality risk by all causes, cardiovascular disease (CVD), and pneumonia compared with other antipsychotics is unknown.

OBJECTIVE

This study investigated the mortality risk associated with long-term haloperidol treatment versus that with other antipsychotics.

METHODS

We identified incident antipsychotic users from 2004 to 2014 in the Clinical Data Analysis and Reporting System (CDARS), a population-based clinical database managed by the Hong Kong Hospital Authority. We included patients who were aged ≥ 18 and received antipsychotics for any indication apart from terminal illnesses or management of acute behavioural disturbance. Patients on haloperidol and other antipsychotic agents (risperidone, quetiapine, olanzapine, chlorpromazine, aripiprazole, sulpiride, amisulpride, or trifluoperazine) were matched by propensity score. Hazard ratios (HRs) for all-cause mortality and death due to CVD and pneumonia were estimated with 95% confidence intervals (CIs) using a Cox proportional hazards model.

RESULTS

In total, 136,593 users of antipsychotics were included. During a mean follow-up of 3.2 years, the incidence of all-cause mortality ranged from 186.8/1000 person-years for haloperidol to 10.4/1000 person-years for trifluoperazine. The risk of all-cause mortality was lower with non-haloperidol antipsychotics than with haloperidol, with HRs ranging from 0.68 (95% CI 0.64-0.72 [chlorpromazine]) to 0.43 (95% CI 0.36-0.53 [trifluoperazine]). Risperidone, quetiapine, sulpiride, chlorpromazine, aripiprazole, and trifluoperazine were associated with a significantly lower risk of pneumonia-related mortality. A significantly lower risk of CVD mortality was observed for risperidone, sulpiride, chlorpromazine, and quetiapine.

CONCLUSION

Haloperidol was associated with increased overall mortality when compared with other antipsychotics in long-term follow-up. Treatment with haloperidol should be carefully considered, especially in older patients and patients at risk of CVD or pneumonia, since the risk of death appears to be lower with non-haloperidol agents.

Advances in Epidemiological Methods and Utilisation of Large Databases: A Methodological Review of Observational Studies on Central Nervous System Drug Use in Pregnancy and Central Nervous System Outcomes in Children

INTRODUCTION

Studies have used various epidemiological approaches to study associations between central nervous system (CNS) drug use in pregnancy and CNS outcomes in children. Studies have generally focused on clinical adverse effects, whereas variations in methodologies have not received sufficient attention.

OBJECTIVE

Our objective was to review the methodological characteristics of existing studies to identify any limitations and recommend further research.

METHODS

A systematic literature search was conducted on observational studies listed in PubMed from 1 January 1946 to 21 September 2017. Following independent screening and data extraction, we conducted a review addressing the trends of relevant studies, differences between various data sources, and methods used to address bias and confounders; we also conducted statistical analyses.

RESULTS

In total, 111 observational studies, 25 case-control studies, and 86 cohort studies were included in the review. Publications dating from 1978 to 2006 mainly focused on antiepileptic drugs, but research on antidepressants increased from 2007 onwards. Only one study focused on antipsychotic use during pregnancy. A total of 46 studies obtained data from an administrative database/registry, 20 from ad hoc disease registries, and 41 from ad hoc clinical samples. Most studies (58%) adjusted the confounding factors using general adjustment, whereas only a few studies used advanced methods such as sibling-matched models and propensity score methods; 42 articles used univariate analyses and 69 conducted multivariable regression analyses.

CONCLUSION

Multiple factors, including different study designs and data sources, have led to inconsistent findings in associations between CNS drug use in pregnancy and CNS outcomes in children. Researchers should allow for study designs with clearly defined exposure periods, at the very least in trimesters, and use advanced confounding adjustment methodology to increase the accuracy of the findings.

Sodium Benzoate, a D-Amino Acid Oxidase Inhibitor, Added to Clozapine for the Treatment of Schizophrenia: A Randomized, Double-Blind, Placebo-Controlled Trial

BACKGROUND

Clozapine is the last-line antipsychotic agent for refractory schizophrenia. To date, there is no convincing evidence for augmentation on clozapine. Activation of N-methyl-D-aspartate receptors, including inhibition of D-amino acid oxidase that may metabolize D-amino acids, has been reported to be beneficial for patients receiving antipsychotics other than clozapine. This study aimed to examine the efficacy and safety of a D-amino acid oxidase inhibitor, sodium benzoate, for schizophrenia patients who had poor response to clozapine.

METHODS

We conducted a randomized, double-blind, placebo-controlled trial. Sixty schizophrenia inpatients that had been stabilized with clozapine were allocated into three groups for 6 weeks' add-on treatment of 1 g/day sodium benzoate, 2 g/day sodium benzoate, or placebo. The primary outcome measures were Positive and Negative Syndrome Scale (PANSS) total score, Scale for the Assessment of Negative Symptoms, Quality of Life Scale, and Global Assessment of Functioning. Side effects and cognitive functions were also measured.

RESULTS

Both doses of sodium benzoate produced better improvement than placebo in the Scale for the Assessment of Negative Symptoms. The 2 g/day sodium benzoate also produced better improvement than placebo in PANSS-total score, PANSS-positive score, and Quality of Life Scale. Sodium benzoate was well tolerated without evident side effects. The changes of catalase, an antioxidant, were different among the three groups and correlated with the improvement of PANSS-total score and PANSS-positive score in the sodium benzoate group.

CONCLUSIONS

Sodium benzoate adjuvant therapy improved symptomatology of patients with clozapine-resistant schizophrenia. Further studies are warranted to elucidate the optimal dose and treatment duration as well as the mechanisms of sodium benzoate for clozapine-resistant schizophrenia.