Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns

OBJECTIVE

Psychiatric evaluation suffers from subjectivity and bias, and is hard to scale due to intensive professional training requirements. In this work, we investigated whether behavioral and physiological signals, extracted from tele-video interviews, differ in individuals with psychiatric disorders.

METHODS

Temporal variations in facial expression, vocal expression, linguistic expression, and cardiovascular modulation were extracted from simultaneously recorded audio and video of remote interviews. Averages, standard deviations, and Markovian process-derived statistics of these features were computed from 73 subjects. Four binary classification tasks were defined: detecting 1) any clinically-diagnosed psychiatric disorder, 2) major depressive disorder, 3) self-rated depression, and 4) self-rated anxiety. Each modality was evaluated individually and in combination.

RESULTS

Statistically significant feature differences were found between psychiatric and control subjects. Correlations were found between features and self-rated depression and anxiety scores. Heart rate dynamics provided the best unimodal performance with areas under the receiver-operator curve (AUROCs) of 0.68-0.75 (depending on the classification task). Combining multiple modalities provided AUROCs of 0.72-0.82.

CONCLUSION

Multimodal features extracted from remote interviews revealed informative characteristics of clinically diagnosed and self-rated mental health status.

SIGNIFICANCE

The proposed multimodal approach has the potential to facilitate scalable, remote, and low-cost assessment for low-burden automated mental health services.

Using HIPAA (Health Insurance Portability and Accountability Act)-Compliant Transcription Services for Virtual Psychiatric Interviews: Pilot Comparison Study

BACKGROUND

Automatic speech recognition (ASR) technology is increasingly being used for transcription in clinical contexts. Although there are numerous transcription services using ASR, few studies have compared the word error rate (WER) between different transcription services among different diagnostic groups in a mental health setting. There has also been little research into the types of words ASR transcriptions mistakenly generate or omit.

OBJECTIVE

This study compared the WER of 3 ASR transcription services (Amazon Transcribe [Amazon.com, Inc], Zoom-Otter AI [Zoom Video Communications, Inc], and Whisper [OpenAI Inc]) in interviews across 2 different clinical categories (controls and participants experiencing a variety of mental health conditions). These ASR transcription services were also compared with a commercial human transcription service, Rev (Rev.Com, Inc). Words that were either included or excluded by the error in the transcripts were systematically analyzed by their Linguistic Inquiry and Word Count categories.

METHODS

Participants completed a 1-time research psychiatric interview, which was recorded on a secure server. Transcriptions created by the research team were used as the gold standard from which WER was calculated. The interviewees were categorized into either the control group (n=18) or the mental health condition group (n=47) using the Mini-International Neuropsychiatric Interview. The total sample included 65 participants. Brunner-Munzel tests were used for comparing independent sets, such as the diagnostic groupings, and Wilcoxon signed rank tests were used for correlated samples when comparing the total sample between different transcription services.

RESULTS

There were significant differences between each ASR transcription service's WER (P<.001). Amazon Transcribe's output exhibited significantly lower WERs compared with the Zoom-Otter AI's and Whisper's ASR. ASR performances did not significantly differ across the 2 different clinical categories within each service (P>.05). A comparison between the human transcription service output from Rev and the best-performing ASR (Amazon Transcribe) demonstrated a significant difference (P<.001), with Rev having a slightly lower median WER (7.6%, IQR 5.4%-11.35 vs 8.9%, IQR 6.9%-11.6%). Heat maps and spider plots were used to visualize the most common errors in Linguistic Inquiry and Word Count categories, which were found to be within 3 overarching categories: Conversation, Cognition, and Function.

CONCLUSIONS

Overall, consistent with previous literature, our results suggest that the WER between manual and automated transcription services may be narrowing as ASR services advance. These advances, coupled with decreased cost and time in receiving transcriptions, may make ASR transcriptions a more viable option within health care settings. However, more research is required to determine if errors in specific types of words impact the analysis and usability of these transcriptions, particularly for specific applications and in a variety of populations in terms of clinical diagnosis, literacy level, accent, and cultural origin.

Feasibility of an Open Dialogue-Inspired Approach for Young Adults with Psychosis in a Public Hospital System

The objective was to determine the feasibility of an Open Dialogue-inspired approach in a metropolitan, public hospital setting with predominately African American participants. Participants were ages 18-35, experienced psychosis within the past month, and involved at least one support person in their care. We evaluated domains of feasibility including implementation, adaptation, practicality, acceptability, and limited-efficacy. An organizational change model (Addressing Problems Through Organizational Change) facilitated implementation. Clinicians received three trainings and ongoing supervision. Network meetings were successfully implemented with good self-reported fidelity to principles of dialogic practice. Some adaptations (less frequent meetings and no home visits) were necessary. A subset of individuals completed research assessments over 12 months. Qualitative interviews with participants suggested the intervention was acceptable. Symptom and functional outcomes were preliminary but trended toward improvement. Implementation was feasible with relatively brief training, organizational change processes, and context-specific adaptations. Lessons learned can assist in planning a larger research study.

Multimodal mental health assessment with remote interviews using facial, vocal, linguistic, and cardiovascular patterns

Objective

The current clinical practice of psychiatric evaluation suffers from subjectivity and bias, and requires highly skilled professionals that are often unavailable or unaffordable. Objective digital biomarkers have shown the potential to address these issues. In this work, we investigated whether behavioral and physiological signals, extracted from remote interviews, provided complimentary information for assessing psychiatric disorders.

Methods

Time series of multimodal features were derived from four conceptual modes: facial expression, vocal expression, linguistic expression, and cardiovascular modulation. The features were extracted from simultaneously recorded audio and video of remote interviews using task-specific and foundation models. Averages, standard deviations, and hidden Markov model-derived statistics of these features were computed from 73 subjects. Four binary classification tasks were defined: detecting 1) any clinically-diagnosed psychiatric disorder, 2) major depressive disorder, 3) self-rated depression, and 4) self-rated anxiety. Each modality was evaluated individually and in combination.

Results

Statistically significant feature differences were found between controls and subjects with mental health conditions. Correlations were found between features and self-rated depression and anxiety scores. Visual heart rate dynamics achieved the best unimodal performance with areas under the receiver-operator curve (AUROCs) of 0.68-0.75 (depending on the classification task). Combining multiple modalities achieved AUROCs of 0.72-0.82. Features from task-specific models outperformed features from foundation models.

Conclusion

Multimodal features extracted from remote interviews revealed informative characteristics of clinically diagnosed and self-rated mental health status.

Significance

The proposed multimodal approach has the potential to facilitate objective, remote, and low-cost assessment for low-burden automated mental health services.

An international research agenda for clozapine-resistant schizophrenia

Treatment-resistant symptoms occur in about a third of patients with schizophrenia and are associated with a substantial reduction in their quality of life. The development of new treatment options for clozapine-resistant schizophrenia constitutes a crucial, unmet need in psychiatry. Additionally, an overview of past and possible future research avenues to optimise the early detection, diagnosis, and management of clozapine-resistant schizophrenia is unavailable. In this Health Policy, we discuss the ongoing challenges associated with clozapine-resistant schizophrenia faced by patients and health-care providers worldwide to improve the understanding of this condition. We then revisit several clozapine guidelines, the diagnostic tests and treatment options for clozapine-resistant schizophrenia, and currently applied research approaches in clozapine-resistant schizophrenia. We also suggest methodologies and targets for future research, divided into innovative nosology-oriented field trials (eg, examining dimensional symptom staging), translational approaches (eg, genetics), epidemiological research (eg, real-world studies), and interventional studies (eg, non-traditional trial designs incorporating lived experiences and caregivers' perspectives). Finally, we note that low-income and middle-income countries are under-represented in studies on clozapine-resistant schizophrenia and propose an agenda to guide multinational research on the cause and treatment of clozapine-resistant schizophrenia. We hope that this research agenda will empower better global representation of patients living with clozapine-resistant schizophrenia and ultimately improve their functional outcomes and quality of life.

Escaping the Long Shadow Cast by Agranulocytosis: Reflections on Clozapine Pharmacovigilance Focused on the United Kingdom

PURPOSE/BACKGROUND

A recent article in this journal presented a US perspective regarding the modernization of clozapine prescription and proposed an escape from the long shadow cast by agranulocytosis.

METHODS

Here, an international group of collaborators discusses a point of view complementary to the US view by focusing on worldwide outcomes of clozapine usage that may be uneven in terms of frequency of clozapine adverse drug reactions.

FINDINGS/RESULTS

Studies from the Scandinavian national registries (Finland and Denmark) did not find increased mortality in clozapine patients or any clear evidence of the alleged toxicity of clozapine. Data on clozapine-associated fatal outcomes were obtained from 2 recently published pharmacovigilance studies and from the UK pharmacovigilance database. A pharmacovigilance study focused on physician reports to assess worldwide lethality of drugs from 2010 to 2019 found 968 clozapine-associated fatal outcomes in the United Kingdom. Moreover, the United Kingdom accounted for 55% (968 of 1761) of worldwide and 90% (968 of 1073) of European fatal clozapine-associated outcomes. In a pharmacovigilance study from the UK database (from 2008 to 2017), clozapine was associated with 383 fatal outcomes/year including all reports from physicians and nonphysicians. From 2018 to 2021, UK clozapine-associated fatal outcomes increased to 440/year.

IMPLICATIONS/CONCLUSIONS

The interpretation of fatal outcomes in each country using pharmacovigilance databases is limited and only allows gross comparisons; even with those limitations, the UK data seem concerning. Pneumonia and myocarditis may be more important than agranulocytosis in explaining the uneven distribution of fatal outcomes in clozapine patients across countries.

The Protective Effect of Clozapine on Suicide: A Population Mortality Study of Statewide Autopsy Records in Maryland

Objective: Clozapine is the most efficacious antipsychotic medication, but it is underutilized and its mechanism of action is still poorly understood. One aspect of its unique efficacy that requires further study is its effect on suicidality. A randomized controlled trial, the InterSePT study, yielded evidence that clozapine reduces suicidality more than olanzapine, after which it became the only medication indicated for recurrent suicidal behavior in schizophrenia and schizoaffective disorder. We present here the first study of population mortality data to investigate the effect of clozapine on suicide.

Methods: We reviewed statewide autopsy records of Maryland's Office of the Chief Medical Examiner, which performs uniquely comprehensive death investigations that include full toxicologic panels with postmortem blood levels of antipsychotics. Our study compared clozapine- and olanzapine-positive decedents across demographic, clinical, and manner-of-death outcomes using contingency table analysis and logistic regression.

Results: Of 53,144 decedents from 2003 to 2021, 621 had clozapine or olanzapine detected on autopsy, with the two groups showing no demographic differences. Decedents with clozapine were significantly less likely to have died by suicide than by accident compared to those with olanzapine (odds ratio = 0.47; 95% CI, 0.26-0.84; P = .011).

Conclusions: Our study thus adds more naturalistic evidence to the growing literature on the beneficial effect of clozapine on suicidality. Our findings also highlight the utility of statewide autopsy records, an untapped resource for investigating the potential protective effect of psychiatric medications on suicide at a population level.

Should we routinely add CRP to clozapine titrations? - Learning from three cases

Objectives: An international guideline recently provided certain personalized schedules for titrating clozapine in adult inpatients by considering: 1) DNA ancestry group, 2) sexsmoking subgroup, and 3) presence/absence of clozapine poor metabolizer (PM) status. Measuring CRP levels at baseline and during the first 4 weeks is recommended. Titrations too fast for the metabolism of specific patients can lead to clozapine-induced inflammations and CRP elevations. Methods: Three published cases are reinterpreted. Better outcomes might have been obtained by using the guideline. Results: Case 1 was a Chinese male non-smoker, a clozapine PM due to an underlying inflammation. Case 2 was a Turkish female non-smoker who developed clozapine-induced myocarditis in the context of 4 risk factors (undiagnosed infl ammation, obesity, valproate and olanzapine co-prescription). Case 3 was a United States patient of European ancestry with no known risk factors who developed myocarditis after a routine titration and had an unsuccessful rechallenge with 12.5 mg/day. Application of the international clozapine titration guideline may have prevented: 1) Case 1 by recommending against clozapine titration for a patient with an abnormal CRP level, 2) Case 2 by considering 4 risk factors and using a slow titration for clozapine PMs, and 3) Case 3 by using CRP elevations for early identification of a possible genetic PM. Conclusions: When baseline or prior CRPs are normal and then become abnormal during a clozapine titration, this indicates: 1) clozapine-induced inflammation associated with too-rapid titration for that specific patient, and/or 2) co-occurrence of an infection. Prospective studies need to verify this hypothesis.

Mortality among psychiatric inpatients in China: A national survey

BACKGROUND

Patients with mental disorders are at increased risk of premature mortality. Psychiatric inpatients are a particularly vulnerable population, yet data on the mortality rate and causes of death among psychiatric inpatients in a national sample are scarce.

METHODS

We analyzed data collected from patients who died during psychiatric hospitalization in 2019 and 2020 from 41 psychiatric hospitals in China.

RESULTS

In total, 719 inpatients died over the study period. There were more deaths in 2019 (N = 409, 56.9%) compared to 2020 (N = 310, 43.1%). The mean age was 73.3 ± 16.5 years old, with males significantly younger than females (71.5 ± 16.9 vs. 75.9 ± 15.6, p < 0.001). Sudden death accounted for 11.5% of all deaths. The cause was unknown for 31.2% of cases. Among those with known causes of death, respiratory disorders were most common in patients with psychotic disorders (41.9%) and mood disorders (29.8%). Suicide accounted for 17.0% of deaths in patients with mood disorders.

CONCLUSION

Patients who died during psychiatric hospitalization were overall older (>70 years), and more than one in ten died due to sudden death. While respiratory disorders accounted for the largest proportion of known causes, the causes were unknown in nearly one-third. Death due to suicide, a preventable cause, remained common among patients with mood disorders. Evidence-based interventions should be implemented.

Multimodal Assessment of Schizophrenia and Depression Utilizing Video, Acoustic, Locomotor, Electroencephalographic, and Heart Rate Technology: Protocol for an Observational Study

Background

Current standards of psychiatric assessment and diagnostic evaluation rely primarily on the clinical subjective interpretation of a patient’s outward manifestations of their internal state. While psychometric tools can help to evaluate these behaviors more systematically, the tools still rely on the clinician’s interpretation of what are frequently nuanced speech and behavior patterns. With advances in computing power, increased availability of clinical data, and improving resolution of recording and sensor hardware (including acoustic, video, accelerometer, infrared, and other modalities), researchers have begun to demonstrate the feasibility of cutting-edge technologies in aiding the assessment of psychiatric disorders.

Objective

We present a research protocol that utilizes facial expression, eye gaze, voice and speech, locomotor, heart rate, and electroencephalography monitoring to assess schizophrenia symptoms and to distinguish patients with schizophrenia from those with other psychiatric disorders and control subjects.

Methods

We plan to recruit three outpatient groups: (1) 50 patients with schizophrenia, (2) 50 patients with unipolar major depressive disorder, and (3) 50 individuals with no psychiatric history. Using an internally developed semistructured interview, psychometrically validated clinical outcome measures, and a multimodal sensing system utilizing video, acoustic, actigraphic, heart rate, and electroencephalographic sensors, we aim to evaluate the system’s capacity in classifying subjects (schizophrenia, depression, or control), to evaluate the system’s sensitivity to within-group symptom severity, and to determine if such a system can further classify variations in disorder subtypes.

Results

Data collection began in July 2020 and is expected to continue through December 2022.

Conclusions

If successful, this study will help advance current progress in developing state-of-the-art technology to aid clinical psychiatric assessment and treatment. If our findings suggest that these technologies are capable of resolving diagnoses and symptoms to the level of current psychometric testing and clinician judgment, we would be among the first to develop a system that can eventually be used by clinicians to more objectively diagnose and assess schizophrenia and depression with the possibility of less risk of bias. Such a tool has the potential to improve accessibility to care; to aid clinicians in objectively evaluating diagnoses, severity of symptoms, and treatment efficacy through time; and to reduce treatment-related morbidity.

International Registered Report Identifier (IRRID)

DERR1-10.2196/36417

Utilizing computer vision for facial behavior analysis in schizophrenia studies: A systematic review

Background

Schizophrenia is a severe psychiatric disorder that causes significant social and functional impairment. Currently, the diagnosis of schizophrenia is based on information gleaned from the patient’s self-report, what the clinician observes directly, and what the clinician gathers from collateral informants, but these elements are prone to subjectivity. Utilizing computer vision to measure facial expressions is a promising approach to adding more objectivity in the evaluation and diagnosis of schizophrenia.

Method

We conducted a systematic review using PubMed and Google Scholar. Relevant publications published before (including) December 2021 were identified and evaluated for inclusion. The objective was to conduct a systematic review of computer vision for facial behavior analysis in schizophrenia studies, the clinical findings, and the corresponding data processing and machine learning methods.

Results

Seventeen studies published between 2007 to 2021 were included, with an increasing trend in the number of publications over time. Only 14 articles used interviews to collect data, of which different combinations of passive to evoked, unstructured to structured interviews were used. Various types of hardware were adopted and different types of visual data were collected. Commercial, open-access, and in-house developed models were used to recognize facial behaviors, where frame-level and subject-level features were extracted. Statistical tests and evaluation metrics varied across studies. The number of subjects ranged from 2-120, with an average of 38. Overall, facial behaviors appear to have a role in estimating diagnosis of schizophrenia and psychotic symptoms. When studies were evaluated with a quality assessment checklist, most had a low reporting quality.

Conclusion

Despite the rapid development of computer vision techniques, there are relatively few studies that have applied this technology to schizophrenia research. There was considerable variation in the clinical paradigm and analytic techniques used. Further research is needed to identify and develop standardized practices, which will help to promote further advances in the field.

Four cases of myocarditis in US hospitals possibly associated with clozapine poor metabolism and a comparison with prior published cases

Objectives: Clozapine-induced myocarditis may be a hypersensitivity reaction due to titration that was too rapid for a patient's clozapine metabolism. Obesity, infections, and inhibitors (e.g., valproate) may lead to clozapine poor metabolizer (PM) status. The hypothesis that 4 patients with clozapine-induced myocarditis from two United States hospitals were clozapine PMs was tested by studying their minimum therapeutic clozapine doses and titrations. Methods: Using methodology from a prior myocarditis case series of 9 Turkish patients, we studied: 1) the concentration-to-dose (C/D) ratio; 2) minimum therapeutic dose required to reach 350 ng/ml (a marker for PM status); and 3) titration speed. Results: All 4 patients were possible clozapine PMs (their respective minimum therapeutic doses were: 134, 84, 119 and 107 mg/day). The identified possible contributors to clozapine PM status were: 1) valproate in Cases 1, 2 and 4; 2) obesity and a urinary tract infection in Case 2; and 3) obesity and very rapid titration in Case 4. Case 3, who was given a normal US titration, appeared to be a genetic clozapine PM. He developed clozapineinduced drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome after rechallenge using 12.5 mg/day > 3 months later. The results were similar to 9 Turkish cases, all of which were PMs (6 on valproate, 4 with obesity, 1 with infection and 1 possibly genetic). Conclusions: Future studies using clozapine levels and considering the role of clozapine PM status should explore whether or not all cases of clozapine-induced myocarditis could be explained by lack of individualized titration. (Neuropsychopharmacol Hung 2022; 24(1): 29-41).

An International Adult Guideline for Making Clozapine Titration Safer by Using Six Ancestry-Based Personalized Dosing Titrations, CRP, and Clozapine Levels

This international guideline proposes improving clozapine package inserts worldwide by using ancestry-based dosing and titration. Adverse drug reaction (ADR) databases suggest that clozapine is the third most toxic drug in the United States (US), and it produces four times higher worldwide pneumonia mortality than that by agranulocytosis or myocarditis. For trough steady-state clozapine serum concentrations, the therapeutic reference range is narrow, from 350 to 600 ng/mL with the potential for toxicity and ADRs as concentrations increase. Clozapine is mainly metabolized by CYP1A2 (female non-smokers, the lowest dose; male smokers, the highest dose). Poor metabolizer status through phenotypic conversion is associated with co-prescription of inhibitors (including oral contraceptives and valproate), obesity, or inflammation with C-reactive protein (CRP) elevations. The Asian population (Pakistan to Japan) or the Americas' original inhabitants have lower CYP1A2 activity and require lower clozapine doses to reach concentrations of 350 ng/mL. In the US, daily doses of 300-600 mg/day are recommended. Slow personalized titration may prevent early ADRs (including syncope, myocarditis, and pneumonia). This guideline defines six personalized titration schedules for inpatients: 1) ancestry from Asia or the original people from the Americas with lower metabolism (obesity or valproate) needing minimum therapeutic dosages of 75-150 mg/day, 2) ancestry from Asia or the original people from the Americas with average metabolism needing 175-300 mg/day, 3) European/Western Asian ancestry with lower metabolism (obesity or valproate) needing 100-200 mg/day, 4) European/Western Asian ancestry with average metabolism needing 250-400 mg/day, 5) in the US with ancestries other than from Asia or the original people from the Americas with lower clozapine metabolism (obesity or valproate) needing 150-300 mg/day, and 6) in the US with ancestries other than from Asia or the original people from the Americas with average clozapine metabolism needing 300-600 mg/day. Baseline and weekly CRP monitoring for at least four weeks is required to identify any inflammation, including inflammation secondary to clozapine rapid titration.

A survey of personnel and services offered in 32 outpatient US clozapine clinics

BACKGROUND

Clozapine clinics can facilitate greater access to clozapine, but there is a paucity of data on their structure in the US.

METHODS

A 23-item survey was administered to participants recruited from the SMI Adviser Clozapine Center of Excellence listserv to understand characteristics of clozapine clinics.

RESULTS

Clozapine clinics (N = 32) had a median caseload of 45 (IQR = 21-88) patients and utilized a median of 5 (IQR = 4-6) interdisciplinary roles. The most common roles included psychiatrists (100%), pharmacists (65.6%), nurses (65.6%), psychiatric nurse practitioners (53.1%), and case managers (53.1%). The majority of clinics outreached to patients who were overdue for labs (78.1%) and had access to on-site phlebotomy (62.5%). Less than half had on call services (46.9%).

CONCLUSIONS

In this first systematic description of clozapine clinics in the US, there was variation in the size, staffing, and services offered. These findings may serve as a window into configurations of clozapine teams.

Cluster Analysis of Clozapine Consumer Perspectives and Comparison to Consumers on Other Antipsychotics

Despite its unique efficacy, clozapine remains underutilized in the United States. Perceptions about clozapine and barriers to its use have been examined among prescribers, but insufficiently studied among consumers. We surveyed 211 antipsychotic consumers (86 on clozapine and 125 on other antipsychotics) on their medication-related perspectives in a public hospital system in Atlanta, Georgia, USA. In contrast to their previous regimen, 72% of clozapine consumers reported they were more satisfied with clozapine. When compared with consumers taking other antipsychotics, clozapine consumers reported more side effects but did not differ on other measures of satisfaction or efficacy. We found Caucasians to be overrepresented among clozapine, as compared to other antipsychotic consumers. Side effects most strongly associated with poor safety ratings were sedation, limb jerking, and dizziness when standing. However, clozapine was only rated less safe by consumers who experienced more than one of these side effects. We used an unsupervised clustering approach to identify three major groups of clozapine consumers. Cluster A (19%) had the lowest safety ratings, aversion to blood work, and a high rate of side effects that associate with lower safety ratings. Cluster B (25%) experienced more hospitalizations and reported satisfaction with clozapine that correlated with efficacy ratings, irrespective of safety ratings. Cluster C (56%) experienced fewer hospitalizations, fewer previous drug trials, greater educational attainment, lower rates of smoking, and rated clozapine more highly. This work identifies common side effects that influence the subjective safety of clozapine and suggests that attitudes toward clozapine depend on context-specific factors.

Supporting the Mental Health Workforce During and After COVID-19

The COVID-19 pandemic has catalyzed structural changes in the public mental health sector, including a shift to telehealth and telesupervision, financial strain for community mental health organizations and clinicians, and risk of burnout among clinicians and staff. This Open Forum considers how technical assistance organizations have supported community mental health providers in adapting to these changes. Moving forward, knowledge gained through this work can help to build the body of practice-based evidence to inform future technical assistance activities in a postpandemic world.

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.

International Medical Graduate Resident Physicians in Psychiatry: Decreasing Numbers, Geographic Variation, Community Correlations, and Implications

OBJECTIVES

The number of International Medical Graduate (IMG) physicians matching into categorical psychiatry decreased steadily over the past decade. The authors sought to understand if this trend was occurring in other specialties, if US IMG physicians and non-US IMG physicians were equally affected, and if certain regions of the USA were more affected by this decrease than others. Finally, the authors compared the proportion of foreign-born individuals within a US census region to the proportion of non-US IMG physicians within that region.

METHODS

The authors analyzed data from the National Resident Matching Program from the years 2014-2020. Statewide data was aggregated into nine geographic regions, as per the US Census Bureau. The number of foreign-born individuals within each US census region was calculated from the 2018 American Community Survey data.

RESULTS

In comparison to eight other specialties, psychiatry saw the greatest decrease (46.3%) in IMG physicians matching into PGY-1 positions. Both US IMG physicians and non-US IMG physicians were equally affected. The percentage of IMG physicians decreased in each of the nine US census regions. In six out of nine geographic regions, non-US IMG physicians were under-represented when comparing their proportion to the number of foreign-born people that lived within that region.

CONCLUSIONS

Decreasing numbers of IMG physicians in psychiatry training may have long-term implications for cultural competency, serving underserved populations, and fellowship recruitment. We advocate for program directors to recognize IMG physicians as an important source of diversity and to recruit residents that reflect the communities they serve.

Use of Academic Detailing With Audit and Feedback to Improve Antipsychotic Pharmacotherapy

OBJECTIVE

Second-generation antipsychotics vary in their propensity to cause serious cardiometabolic side effects. In addition, use of two or more antipsychotics (polypharmacy) may lead to additive side effects and has not been shown to be consistently more effective than monotherapy. This study examined the use of academic detailing with audit and feedback to improve antipsychotic prescribing practices, including antipsychotic polypharmacy and utilization of medication with high or low risk of cardiometabolic side effects ("high risk" or "low risk," respectively).

METHODS

Four intervention sessions were provided over two years to psychiatric care providers at community mental health centers. Segmented regression within the general estimating equation model framework used Medicaid pharmacy claims to examine prescribing patterns before and after the intervention among all beneficiaries (67,721 person-months) over a five-year period.

RESULTS

After the intervention, 10.9% of beneficiaries with antipsychotic claims were on polypharmacy, compared with 13.1% before the invention. Use of high-risk and low-risk antipsychotics did not change. The final adjusted polypharmacy model showed that antipsychotic polypharmacy decreased among young adults and adults ages 40 or older compared with beneficiaries ages 30-39 (β=-.02, p=.04, and β=-.02, p=.007, respectively). The raw proportion of beneficiaries on high- and low-risk agents did not change, although final adjusted models demonstrated changes in use of high- and low-risk agents by diagnosis and risk group.

CONCLUSIONS

Polypharmacy decreased among young and older adults after academic detailing with audit and feedback. Although further research is needed, this low-intensity intervention may help mental health systems reduce antipsychotic polypharmacy.

Re-titration rates after clozapine-induced neutropenia or agranulocytosis: A case report and literature review

Clozapine-induced neutropenia occurs in 3-5% of individuals treated with clozapine. Current US guidelines require interruption of clozapine when the absolute neutrophil count (ANC) drops below 1000 cells/mm3. There is minimal available guidance for what dosing schedule to use when restarting clozapine after an episode of neutropenia. Here, we present a case of a 50-year-old Caucasian female with a history of schizoaffective disorder who was successfully rechallenged on clozapine one month after developing clozapine-induced neutropenia (ANC 600 cells/mm3). To understand published re-titration rates of clozapine after neutropenia, we conducted a literature review using a using the PubMed database and found only seven case reports that unambiguously reported a clozapine dosing schedule during re-challenge. All were successful except one, a case of clozapine rechallenge after agranulocytosis. Including this case presentation, six out of eight cases restarted clozapine more cautiously than recommended by the US guidelines for a new clozapine initiation. We cannot comment what role a slower or more rapid titration plays in a successful rechallenge after neutropenia with the available evidence. We encourage researchers to publish their dosing schedule in detail after an episode of neutropenia or agranulocytosis.

An Update on Promising Biomarkers in Schizophrenia

Given the heterogeneity of symptoms in patients with schizophrenia and current treatment limitations, biomarkers may play an important role in diagnosis, subtype stratification, and the assessment of treatment response. Though many potential biomarkers have been studied, we have chosen to focus on some of the most promising and potentially clinically relevant biomarkers to review herein. These include markers of inflammation, neuroimaging biomarkers, brain-derived neurotrophic factor, genetic/epigenetic markers, and speech analysis. This will provide a broad overview of putative biomarkers that could become clinically relevant in the future, though none currently appear ready to assist the clinician in identifying cases of schizophrenia, subtypes of the disorder, treatment choice, or response. Nonetheless, some biomarkers, such as C-reactive protein (CRP), may be useful at identifying individuals who may be more highly inflamed, which could drive treatment choice. Though checking CRP is not a standard of practice, this is one example of how biomarkers may drive treatment decisions in the future, supporting precision medicine. Similarly, technological advances may one day allow clinicians to detect changes in speech patterns, which could represent a noninvasive, clinically useful tool in the future. We conclude the review by highlighting two important potential clinical uses for biomarkers in schizophrenia: the identification of individuals who may convert from clinical high risk and the stratification of patients via different biomarkers that may supersede clinical diagnosis. Given the enormous burden of illness of schizophrenia, the search for clinically relevant biomarkers is of great importance to improve the lives of patients with the disorder.

Keeping Up With Changing Times in Education: Fostering Lifelong Learning of Millennial Learners

Not only must the 21st-century psychiatrist adapt to a rapidly advancing science and changing health care climate, he or she must also consider how to most effectively educate the psychiatrists of tomorrow. Psychiatric education is changing and is influenced by the experiences, attitudes, beliefs, and preferences of today's learner. The Millennial Generation, the cohort of individuals born between 1981 and 2000, now represents the majority of the trainees entering medical school and psychiatry residency. This column provides an overview of generational differences in medicine and gives the reader a set of concrete strategies for working with Millennial learners in psychiatry most effectively. In general, Millennials enjoy collaborative learning, perform well in groups, are technologically savvy, appreciate clear expectations, and expect frequent and individualized feedback about their performance. Educators must determine what works best for each individual, create a culture of inquiry, and, most important, fuel a spirit of lifelong learning.

Improving Cardiometabolic Monitoring of Children on Antipsychotics

OBJECTIVES

This study evaluated changes in cardiometabolic monitoring for children and adolescents who were prescribed an antipsychotic medication in a state mental health system before and after a quality improvement intervention.

METHODS

The intervention included education for prescribers, auditing on metabolic monitoring, and feedback to mental health center leaders regarding their monitoring. Research staff extracted yearly data on cardiometabolic monitoring from randomly selected community mental health center records before and after the intervention. Pre- and postintervention changes in monitoring were assessed with chi-squared tests.

RESULTS

Evidence of past year monitoring increased: for glucose 18.9%-42.1% (χ² = 6.75, p < 0.001), for triglycerides 13.5%-31.0% (χ² = 4.54, p = 0.033), for cholesterol 13.5%-33.1% (χ² = 5.48, p = 0.019), and for weight 67.6%-84.1% (χ² = 5.21, p = 0.022). Rates of monitoring for blood pressure and waist circumference increased but not significantly. In both years studied, weight was obtained most frequently and waist circumference was obtained least frequently.

CONCLUSIONS

Monitoring rates significantly improved for four out of six parameters evaluated, but overall monitoring rates remained low at the end of the study period. Prescriber education with audit and feedback may improve cardiometabolic monitoring rates, but research is needed to evaluate barriers to monitoring in children.

Cocaine-induced psychotic disorders: presentation, mechanism, and management

Cocaine, the third mostly commonly used illicit drug in the United States, has a wide range of neuropsychiatric effects, including transient psychotic symptoms. When psychotic symptoms occur within a month of cocaine intoxication or withdrawal, the diagnosis is cocaine-induced psychotic disorder (CIPD). Current evidence suggests those with CIPD are likely to be male, have longer severity and duration of cocaine use, use intravenous cocaine, and have a lower body mass index. Differentiating CIPD from a primary psychotic disorder requires a detailed history of psychotic symptoms in relation to substance use and often a longitudinal assessment. Treatment includes providing a safe environment, managing agitation and psychosis, and addressing the underlying substance use disorder. This review begins with a clinical case and summarizes the literature on CIPD, including clinical presentation, differential diagnosis, mechanism and predictors of illness, and treatment.