Assessing and monitoring antipsychotic-induced movement disorders in hospitalized patients: a cautionary study

Psychotropic Medications-Induced Tardive Dyskinesia and Associated Factors Among Patients with Mental Illness in Ethiopia

BACKGROUND

Tardive dyskinesia (TD) remains a significant burden especially among patients taking psychotropic medications, and it is associated with adverse effects that can lead to subjective suffering, stigma, poor compliance to medication, and poor quality of life. However, it is unrecognized and overlooked in clinical settings. So, this study aimed to assess the magnitude of tardive dyskinesia and associated factors among mentally ill patients attending follow-up treatment at Jimma University Medical Center Psychiatry clinic, Jimma, Southwest Ethiopia, 2019.

METHODS

Institutional-based cross-sectional study design was conducted in 417 samples. Participants were selected by systematic random sampling techniques. Data were collected by a semi-structured interviewer-administered questionnaire, and the document was reviewed to obtain the patient's profile. Tardive dyskinesia was assessed by using the Extrapyramidal Symptom Rating Scale after informed consent was obtained from respondents. Data entry was done by EpiData version 3.1, and analysis was done by using SPSS 22.0 statistical software. Binary logistic regression and multivariate logistic regression were used to see the association and to identify independent factors at a p-value of <0.05.

RESULTS

Prevalence of drug-induced tardive dyskinesia was 15.4% (CI 95%: 12.0, 19.3). Female, age range between 30 and 44 years, having a diagnosis of major depressive disorder with the psychotic feature, taking chlorpromazine equivalent dose ˃600mg, and taking anticholinergic medications were variables positively associated with tardive dyskinesia, whereas cigarette smoking was negatively associated with tardive dyskinesia.

CONCLUSION

The prevalence of drug-induced tardive dyskinesia in this study was high. Prescribing medications less than 600mg equivalent dose of chlorpromazine, giving attention for female patients, patients having a diagnosis of major depressive disorder, and reducing giving anticholinergic medications will be important measures for clinicians to reduce the occurrence of tardive dyskinesia.

Hospital utilization rates following antipsychotic dose reduction in mood disorders: implications for treatment of tardive dyskinesia

BACKGROUND

The relative benefits and risks of long-term maintenance treatment with antipsychotics have not been well studied in patients with bipolar disorder and major depressive disorder. For example, while antipsychotic dose reduction has been recommended in the management of serious side effects associated with antipsychotics, there is limited evidence on the impact of lowering doses on the course of underlying mood disorders.

METHODS

This retrospective cohort study analyzed the impact of antipsychotic dose reduction in patients with bipolar disorder or major depressive disorder. Medical claims from six US states over a 6-year period were analyzed for patients with ≥10% or ≥ 30% reductions in antipsychotic dose (cases) and compared using survival analyses with matched controls receiving a stable dosage. Outcomes included hospitalizations for disease-specific mood disorders, other psychiatric disorders and all-cause emergency room visits, and claims for tardive dyskinesia.

RESULTS

A total of 23,992 patients with bipolar disorder and 17,766 with major depressive disorder had a ≥ 10% dose reduction, while 19,308 and 14,728, respectively, had a ≥ 30% dose reduction. In multivariate analyses, cases with a ≥ 10% dose reduction had a significantly increased risk of disease-specific admission (bipolar disorder: hazard ratio [95% confidence interval], 1.22 [1.15-1.31]; major depressive disorder: 1.22 [1.11-1.34]), other psychiatric admission (bipolar disorder: 1.19 [1.13-1.24]; major depressive disorder: 1.17 [1.11-1.23]), all-cause admission (bipolar disorder: 1.17 [1.12-1.23]; major depressive disorder: 1.11 [1.05-1.16]), and all-cause emergency room visits (bipolar disorder: 1.09 [1.05-1.13]; major depressive disorder: 1.07 [1.02-1.11]) (all P <  0.01). Similar results were observed following an ≥30% dose reduction. Dose reduction was not associated with decreased claims for tardive dyskinesia.

CONCLUSIONS

Patients with mood disorders who had antipsychotic dose reductions showed small but statistically significant increases in all-cause and mental health-related hospitalizations, which may lead to increased healthcare costs. These results highlight the need for additional long-term studies of the necessity and safety of maintenance antipsychotic treatment in mood disorders.

Cumulative Burden of Illness in Veterans With Tardive Dyskinesia and Serious Mental Disorders

PURPOSE/BACKGROUND

To inform cost-benefit decisions for veterans, the risk of tardive dyskinesia (TD) and its impact on comorbidities and outcomes were assessed.

METHODS/PROCEDURES

In a retrospective study, veterans with schizophrenia/schizoaffective, and bipolar and major depressive disorders receiving antipsychotics during the period October 1, 2014, to September 30, 2015, were identified. Tardive dyskinesia was determined by International Classification of Diseases, Ninth Revision, Clinical Modification codes. Correlates of TD were examined using χ or t tests. Odds ratios (ORs) and β parameters with 95% confidence intervals (CIs) for categorical and continuous variables associated with TD were derived from a multivariate logistic and linear regression, respectively.

FINDINGS/RESULTS

Among 7985 veterans, 332 (4.2%) were diagnosed as having possible TD. The odds of having TD were higher for older veterans (OR, 1.04; 95% CI, 1.03-1.05; P < 0.0001) and veterans with schizophrenia/schizoaffective disorder (OR, 1.54; 95% CI, 1.23-1.91; P < 0.0001) or diabetes (OR, 1.64; 95% CI, 1.30-2.06; P < 0.0001). Veterans with TD received more antipsychotic prescriptions (mean ± SD, 18.4 ± 30.3 vs 13.3 ± 26.4; P = 0.003) and days of supply (233.9 ± 95.4 vs 211.4 ± 102.0; P < 0.0001). They were more likely to have received 2 or more antipsychotics (27.1% vs 19.7%, P = 0.0009) and benztropine (OR, 2.25: 95% CI 1.73-2.91; P < 0.0001). Veterans with TD had a higher Charlson Comorbidity Index score (β = 0.32; SE, 0.09; 95% CI, 0.14-0.49; P = 0.0003) and higher odds of any medical hospitalization (OR, 1.45; 95% CI, 1.07-1.95; P = 0.001).

IMPLICATIONS/CONCLUSIONS

The diagnosis of possible TD was associated with older age, schizophrenia/schizoaffective disorder, medical comorbidity, and hospitalization. Tardive dyskinesia may be a marker for patients at risk of adverse health care outcomes and diminished quality of life.

Association of antipsychotic treatment switching in patients with schizophrenia, bipolar, and major depressive disorders

Aims: To evaluate the association of relapse and healthcare resource utilization in patients with schizophrenia (SZ), bipolar disorder (BD), or major depressive disorder (MDD) who switched antipsychotic medication versus those who did not.Materials and methods: Medicaid claims from six US states spanning six years were retrospectively analyzed for antipsychotic switching versus non-switching. For all patients with SZ, BD, or MDD, and for the subset of patients who also had ≥1 extrapyramidal symptoms (EPS) diagnosis at baseline, times to the following outcomes were analyzed: underlying disease relapse, other psychiatric relapse, all-cause emergency room (ER) visit, all-cause inpatient (IP) admission, and EPS diagnosis.Results: Switchers (N = 10,548) had a shorter time to disease relapse, other psychiatric relapse, IP admissions, ER visits, and EPS diagnosis (all, log-rank p < .001) than non-switchers (N = 31,644). Switchers reached the median for IP admission (21.50 months) vs non-switchers (not reached) and for ER visits (switchers, 9.07 months; non-switchers, 13.35 months). For disease relapse, other psychiatric relapse, and EPS diagnosis, <50% of patients had an event during the two-year study period. Subgroup analysis of those with ≥1 EPS diagnosis revealed similar associations.Limitations: Only association, not causation, may be inferred, and there may be differences between the patient groups in parameters not evaluated.Conclusions: These results show that disease and other psychiatric relapse, all-cause ER visits, IP admissions, and EPS diagnosis occurred earlier for patients who switched antipsychotics than for those who did not, suggesting that switching is associated with an increased risk of relapse in patients with SZ, BD, and MDD. This may be attributed to more-severely ill patients being less responsive than those with less-severe illness, which, in turn, may require more episodes of switching.

Risk assessment and prediction of TD incidence in psychiatric patients taking concomitant antipsychotics: a retrospective data analysis

Background

Tardive dyskinesia (TD) is a serious, often irreversible movement disorder caused by prolonged exposure to antipsychotics; identifying patients at risk for TD is critical to preventing it. Predictive models for the occurrence of TD can improve patient monitoring and inform implementation of counteractive interventions. This study aims to identify risk factors associated with TD and to develop a model using a retrospective data analysis to predict the incidence of TD among patients taking antipsychotic medications.

Methods

Adult patients with schizophrenia, major depressive disorder, or bipolar disorder taking oral antipsychotics were identified in a Medicaid claims database (covering six US states from 1997 to 2016) and divided into cohorts based on whether they developed TD within 1 year after the first observed claim for antipsychotics. Patient characteristics between cohorts were compared, and univariate Cox analyses were used to identify potential TD risk factors. A cross-validated version of the least absolute shrinkage and selection operator regression method was used to develop a parsimonious multivariable Cox proportional hazards model to predict diagnosis of TD.

Results

A total of 189,415 eligible patients were identified. Potential TD risk factors were identified based on the cohort analysis within a sample of 151,280 patients with at least 1 year of continuous eligibility. The prediction model had a clinically meaningful concordance of 70% and was well calibrated (P = 0.32 for Hosmer–Lemeshow goodness-of-fit test). Age (hazard ratio [HR] = 1.04, P < 0.001), diagnosis of schizophrenia (HR = 1.99, P < 0.001), antipsychotic dosage (up to 100 mg/day chlorpromazine equivalent; HR = 1.65, P < 0.01), and comorbid bipolar and related disorders (HR = 1.39, P < 0.01) were significantly associated with an increased risk of TD. Other potential risk factors included history of extrapyramidal symptoms (HR = 1.35), other movement disorders (parkinsonism, HR = 1.43; bradykinesia, HR = 1.44; tremors, HR = 2.12, and myoclonus, HR = 2.33), and diabetes (HR = 1.13). A modest reduction in the risk of TD was associated with the use of second-generation antipsychotics (HR = 0.85) versus first-generation drugs.

Conclusions

This study identified factors associated with development of TD among patients taking antipsychotics. The prediction model described herein can enable physicians to better monitor patients at high risk for TD and recommend appropriate treatment plans to help maintain quality of life.

Electronic supplementary material

The online version of this article (10.1186/s12883-019-1385-4) contains supplementary material, which is available to authorized users.

Hospital utilization rates following antipsychotic dose reductions: implications for tardive dyskinesia

BACKGROUND

Data are limited on the benefits and risks of dose reduction in managing side effects associated with antipsychotic treatment. As an example, antipsychotic dose reduction has been recommended in the management of tardive dyskinesia (TD), yet the benefits of lowering doses are not well studied. However, stable maintenance treatment is essential to prevent deterioration and relapse in schizophrenia.

METHODS

A retrospective cohort study was conducted to analyze the healthcare burden of antipsychotic dose reduction in patients with schizophrenia. Medical claims from six US states spanning a six-year period were analyzed for ≥10% or ≥ 30% antipsychotic dose reductions compared with those from patients receiving a stable dose. Outcomes measured were inpatient admissions and emergency room (ER) visits for schizophrenia, all psychiatric disorders, and all causes, and TD claims.

RESULTS

A total of 19,556 patients were identified with ≥10% dose reduction and 15,239 patients with ≥30% dose reduction. Following a ≥ 10% dose reduction, the risk of an all-cause inpatient admission increased (hazard ratio [HR] 1.17; 95% confidence interval [CI] 1.11, 1.23; P < 0.001), and the risk of an all-cause ER visit increased (HR 1.09; 95% CI 1.05, 1.14; P < 0.001) compared with controls. Patients with a ≥ 10% dose reduction had an increased risk of admission or ER visit for schizophrenia (HR 1.27; 95% CI 1.19, 1.36; P < 0.001) and for all psychiatric disorders (HR 1.16; 95% CI 1.10, 1.23; P < 0.001) compared with controls. A dose reduction of ≥30% also led to an increased risk of admission for all causes (HR 1.23; 95% CI 1.17, 1.31; P < 0.001), and for admission or ER visit for schizophrenia (HR 1.31; 95% CI 1.21, 1.41; P < 0.001) or for all psychiatric disorders (HR 1.21; 95% CI 1.14, 1.29; P < 0.001) compared with controls. Dose reductions had no significant effect on claims for TD.

CONCLUSION

Patients with antipsychotic dose reductions showed significant increases in both all-cause and mental health-related hospitalizations, suggesting that antipsychotic dose reductions may lead to increased overall healthcare burden in some schizophrenia patients. This highlights the need for alternative strategies for the management of side effects, including TD, in schizophrenia patients that allow for maintaining effective antipsychotic treatment.

Monitoring of extrapyramidal side effects in patients on antipsychotic treatment: a completed audit cycle

BACKGROUND

Movement disorders are a common problem in those receiving antipsychotic medication. Clinical guidelines recommend that these side-effects are monitored regularly throughout treatment. However, due to a lack of training, clinician confidence levels in assessment are often low and regular monitoring may be neglected. Aims To audit current practice in our services regarding monitoring of extrapyramidal side effects (EPSE) and improve monitoring through education of clinicians.

METHOD

The clinical records of patients receiving antipsychotic treatment, seen in the outpatient clinic over a 2-week period, were reviewed. Data were collected on whether or not EPSE had been assessed. A re-audit was undertaken following a teaching session.

RESULTS

Documentation regarding EPSE was present in only 14% of patient records. Following a teaching session, the overall level of documentation of EPSE rose to 42%, with rates of assessment dramatically improving in non-consultant hospital doctors.

CONCLUSION

In our practice, clinicians are generally poor to assess and record EPSE. However, rates of assessment improved significantly following a teaching session, especially in NCHDs.

Psychiatrists' documentation of informed consent: a representative survey

OBJECTIVE

To review psychiatrists' documentation of informed consent and present data on Canadian psychiatrists' attitudes and practices regarding documentation of the informed consent process.

METHOD

We surveyed a stratified random sample of psychiatrists practising in Ontario, using a mailed self-report questionnaire.

RESULTS

The response rate was 72%. Among respondents, 63% routinely documented the consent process, with younger respondents reporting more documentation than older ones. Although most respondents (77%) favoured recording the consent process, only 11% felt signed consent forms were necessary.

CONCLUSION

There are differences in the self-reported documentation behaviour of younger and older psychiatrists. Psychiatrists should document the consent process in the clinical record.