Assessment of antipsychotic-related risk of diabetes mellitus in a Medicaid psychosis population: Sensitivity to study design

Real-World Data on the Adverse Metabolic Effects of Second-Generation Antipsychotics and Their Potential Determinants in Adult Patients: A Systematic Review of Population-Based Studies

INTRODUCTION

To assess the risk of occurrence and potential determinants of metabolic disorders in adult patients treated with second-generation antipsychotics (SGAs) under real-world practice conditions.

METHODS

MEDLINE, EMBASE, and PsycInfo were searched in July 2019 from database inception. We included population-based, longitudinal, comparative studies that report the results of the outcomes of interest for adult participants, including diabetes, ketoacidosis, hyperosmolar hyperglycemic state, weight gain/obesity, dyslipidemia, hypertension, and metabolic syndrome. Two reviewers independently extracted data on the study design, study quality, and study outcomes.

RESULTS

We included 40 studies. Most studies showed that clozapine and olanzapine were associated with an increased likelihood of developing diabetes, while the results for risperidone and quetiapine were mixed. Although less well studied, ziprasidone and aripiprazole appeared to not be associated with the occurrence of diabetes. Information on antipsychotic-induced weight gain/obesity is extremely scarce. Regarding dyslipidemia, aripiprazole was not associated with an increased likelihood of developing dyslipidemia, clozapine was associated with an increased likelihood of developing dyslipidemia, and risperidone, olanzapine, quetiapine, and ziprasidone showed mixed results. Two studies suggested an association between ziprasidone and the occurrence of hypertension. Several studies found that the occurrence of a metabolic disorder acted as a risk factor for the development of other metabolic disorders. We did not find information on brexpiprazole, cariprazine, or lurasidone, and data on any long-acting SGA were lacking.

CONCLUSION

Although there are relevant differences among SGAs concerning the risk of metabolic disorders, it appears that none of the SGAs included in our review are fully devoid of these disturbances.

Which clinical and biochemical predictors should be used to screen for diabetes in patients with serious mental illness receiving antipsychotic medication? A large observational study

OBJECTIVE

We aimed to investigate which clinical and metabolic tests offer optimal accuracy and acceptability to help diagnose diabetes among a large sample of people with serious mental illness in receipt of antipsychotic medication.

METHODS

A prospective observational study design of biochemical and clinical factors was used. Biochemical measures were fasting glucose, insulin and lipids, oral glucose tolerance testing (OGTT), hemoglobin A1c, and insulin resistance assessed with the homeostatic model (HOMA-IR) were determined in a consecutive cohort of 798 adult psychiatric inpatients receiving antipsychotics. Clinical variables were gender, age, global assessment of functioning (GAF), mental health clinicians' global impression (CGI), duration of severe mental illness, height, weight, BMI and waist/hip ratio. In addition, we calculated the risk using combined clinical predictors using the Leicester Practice Risk Score (LPRS) and the Topics Diabetes Risk Score (TDRS). Diabetes was defined by older criteria (impaired fasting glucose (IFG) or OGTT) as well as2010 criteria (IFG or OGTT or Glycated haemoglobin (HBA1c)) at conventional cut-offs.

RESULTS

Using the older criteria, 7.8% had diabetes (men: 6.3%; women: 10.3%). Using the new criteria, 10.2% had diabetes (men: 8.2%, women: 13.2%), representing a 30.7% increase (p = 0.02) in the prevalence of diabetes. Regarding biochemical predictors, conventional OGTT, IFG, and HbA1c thresholds used to identify newly defined diabetes missed 25%, 50% and 75% of people with diabetes, respectively. The conventional HBA1c cut-point of ≥6.5% (48 mmol/mol) missed 7 of 10 newly defined cases of diabetes while a cut-point of ≥5.7% improved sensitivity from 44.4% to up to 85%. Specific algorithm approaches offered reasonable accuracy. Unfortunately no single clinical factor was able to accurately rule-in a diagnosis of diabetes. Three clinical factors were able to rule-out diabetes with good accuracy namely: BMI, waist/hip ratio and height. A BMI < 30 had a 92% negative predictive value in ruling-out diabetes. Of those not diabetic, 20% had a BMI ≥ 30. However, for complete diagnosis a specific biochemical protocol is still necessary.

CONCLUSIONS

Patients with SMI maintained on antipsychotic medication cannot be reliably screened for diabetes using clinical variables alone. Accurate assessment requires a two-step algorithm consisting of HBA1c ≥5.7% followed by both FG and OGTT which does not require all patients to have OGTT and FG.

A Retrospective Cohort Study of Acute Kidney Injury Risk Associated with Antipsychotics

BACKGROUND

A recent large database analysis raised concerns of potential acute kidney injury (AKI) risk associated with antipsychotics. However, whether individual atypical and typical antipsychotics are associated with differential AKI risks has not been investigated.

OBJECTIVE

The current study compared the risks of AKI and known causes of AKI associated with a broad range of atypical and typical antipsychotics.

METHOD

This retrospective cohort analysis used January 2007-June 2013 US nationwide Humana claims data to define episodes of antipsychotic drug therapy for patients with schizophrenia and bipolar disorder. Study drugs were aripiprazole, fluphenazine, haloperidol, olanzapine, quetiapine, risperidone, and ziprasidone. Study outcomes were hospitalizations with AKI, and known causes of AKI, i.e., hypotension, acute urinary retention, neuroleptic malignant syndrome/rhabdomyolysis, and pneumonia. AKI was the primary outcome of the study. Cox regressions using haloperidol as the baseline comparator were used to estimate the impact of alternative antipsychotics on the risks of study adverse events following the initiation of treatment. The Cox models controlled for treatment history, comorbidities, and concomitant drug use in the prior 6 months. They also controlled for patient demographics and dose of current treatment.

RESULTS

The overall incidence of AKI was 25.0 per 1000 person-years. According to our multivariate regression results, the risk of AKI was significantly increased in patients taking olanzapine [hazard ratio (HR) 1.344, 95% confidence interval (CI) 1.057-1.708], quetiapine (HR 1.350, 95% CI 1.082-1.685), and ziprasidone (HR 1.338, 95% CI 1.035-1.729) relative to haloperidol. Aripiprazole (HR 1.152, 95% CI 0.908-1.462) and risperidone (HR 1.147, 95% CI 0.923-1.426) had insignificantly higher risks of AKI compared with haloperidol, whereas fluphenazine (HR 0.729, 95% CI 0.483-1.102) had an insignificantly lower risk of AKI. When compared between drug classes, atypical antipsychotics had a significantly higher risk of AKI (HR 1.313, 95% CI 1.083-1.591) than typical antipsychotics.

CONCLUSIONS

Antipsychotics are associated with differential AKI risks, with several atypical antipsychotics having higher risks than haloperidol. However, the overall incidence of AKI was moderate, and AKI risk should only raise concern for clinicians with elderly patients or patients who are vulnerable to kidney disease.

Estimating the Impact of Adherence to and Persistence with Atypical Antipsychotic Therapy on Health Care Costs and Risk of Hospitalization

STUDY OBJECTIVE

To estimate the impact of adherence to and persistence with atypical antipsychotics on health care costs and risk of hospitalization by controlling potential sources of endogeneity.

DESIGN

Retrospective cohort study using medical and pharmacy claims data.

DATA SOURCE

Humana health care insurance database.

PATIENTS

A total of 32,374 patients with a diagnosis of schizophrenia or bipolar disorder and who had a prescription for noninjectable atypical antipsychotics (aripiprazole, asenapine, clozapine, iloperidone, lurasidone, olanzapine, paliperidone, quetiapine, risperidone, or ziprasidone), after a washout period of at least 180 days during which there was no use of any atypical antipsychotics, between January 2007 and June 2013.

MEASUREMENTS AND MAIN RESULTS

The effects of adherence (proportion of days covered by all atypical antipsychotic prescription fills) to and persistence (time from initiation to discontinuation of therapy) with atypical antipsychotics on outcomes (all-cause total health care costs, medication costs, medical services costs, and inpatient admissions) were examined. To exclude potential bias due to mutual causality between drug use patterns and health care utilization, the effects of adherence and persistence measured in the first year on outcomes measured in the second year were investigated. Instrumental variable regressions using reimbursement rate and mail order as instrumental variables were conducted to correct potential endogeneity due to omitted variable bias. Being adherent decreased total costs by $19,497 (p<0.05), increased medication costs by $8194 (p<0.001), decreased medical services costs by $27,664 (p<0.001), and reduced hospitalization risk by 27% (p<0.001). Being persistent decreased individual total costs by $23,927 (p<0.05), increased medication costs by $10,278 (p<0.001), and decreased medical services costs by $34,178 (p<0.001). We could not identify a significant association between persistence and the risk of hospitalization.

CONCLUSION

Good adherence to and persistence with atypical antipsychotics led to lower total costs than poor adherence and persistence. Thus efforts should be made to improve adherence and persistence in patients taking atypical antipsychotics.

Health Care Utilization and Treatment Persistence Associated with Oral Paliperidone and Lurasidone in Schizophrenia Treatment

BACKGROUND

Oral paliperidone and lurasidone are new second-generation antipsychotics (SGAs). Empirical evidence on the comparative costs and persistence of these 2 agents are absent in the literature.

OBJECTIVE

To assess health care use and persistence associated with the 2 new agents oral paliperidone and lurasidone and other SGAs.

METHODS

Schizophrenia patients who initiated SGA therapy were identified in the January 2007-June 2013 claims databases of a large managed care organization. Multivariate regressions using aripiprazole as the comparator were conducted. Ordinary least squares regressions were used to estimate the total medical and pharmacy costs associated with each drug. Poisson regressions were conducted to evaluate the frequency of hospitalizations and emergency department (ED) visits associated with each drug. A censored regression model was used to evaluate the comparative persistence. Sensitivity analyses using generalized linear models, two-part models, hurdle models, and instrumental variable regressions were also performed.  

RESULTS

Compared with aripiprazole, paliperidone was not associated with significantly different total costs, yet lurasidone was associated with lower total costs (-$7,052; 95% CI = -$9,221, -$4,882). Lurasidone was also associated with significantly lower medical services costs (-$5,025; 95% CI = -$7,096, -$2,955), drug costs (-$2,026; 95% CI = -$2,695, -$1,357), hospital costs (-$3,026; 95% CI = -$4,731, -$1,321), outpatient costs (-$1,999; 95% CI = -$2,536, -$1,463), and ED costs (-$2,284; 95% CI = -$3,069, -$1,499), whereas paliperidone did not have significant effects on any types of costs. Paliperidone users had fewer ED visits (-0.25; 95% CI = -0.42, -0.08), while lurasidone users had fewer hospitalizations (-5.98; 95% CI = -6.61, -5.35) and fewer ED visits (-2.51; 95% CI = -2.92, -2.10). Both paliperidone and lurasidone were associated with lower levels of treatment persistence.

CONCLUSIONS

Paliperidone does not associate with lower total costs compared with commonly used SGAs, whereas lurasidone is associated with lower total health costs. Thus, high access fees of lurasidone are not necessarily a major concern in prescription.

Atypical antipsychotics and hyperglycemic emergencies: multicentre, retrospective cohort study of administrative data

OBJECTIVE

To evaluate the relationship between initiation of atypical antipsychotic agents and the risk of hyperglycemic emergencies.

METHOD

We conducted a multicentre retrospective cohort study using administrative health data from 7 Canadian provinces and the UK Clinical Practice Research Datalink. Hospitalizations for hyperglycemic emergencies (hyperglycemia, diabetic ketoacidosis, hyperosmolar hyperglycemic state) were compared between new users of risperidone (reference), and new users of olanzapine, other atypical antipsychotics, and typical antipsychotics. We used propensity scores with inverse probability of treatment weighting and proportional hazard models to estimate the site-specific hazard ratios of hyperglycemic emergencies in the year following drug initiation separately for adults under and over age 66 years. Site-level results were pooled using meta-analytic methods.

RESULTS

Among 725,489 patients, 55% were aged 66+years; 5% of younger and 19% of older patients had pre-existing diabetes. Hyperglycemic emergencies were rare (1-2 per 1000 person years), but more frequent in patients with pre-existing diabetes (6-12 per 1000 person years). We did not find a significant difference in risk of hyperglycemic emergencies with initiation of olanzapine versus risperidone; however heterogeneity existed between sites. The risk of an event was significantly lower with other atypical (99% quetiapine) compared to risperidone use in older patients [adjusted hazard ratio, 95% confidence interval (CI): 0.69, 0.53-0.90].

CONCLUSIONS

Risk for hyperglycemic emergencies is low after initiation of antipsychotics, but patients with pre-existing diabetes may be at greater risk. The risk appeared lower with the use of quetiapine in older patients, but the clinical significance of the findings requires further study.

Antipsychotic-induced insulin resistance and postprandial hormonal dysregulation independent of weight gain or psychiatric disease

Atypical antipsychotic (AAP) medications that have revolutionized the treatment of mental illness have become stigmatized by metabolic side effects, including obesity and diabetes. It remains controversial whether the defects are treatment induced or disease related. Although the mechanisms underlying these metabolic defects are not understood, it is assumed that the initiating pathophysiology is weight gain, secondary to centrally mediated increases in appetite. To determine if the AAPs have detrimental metabolic effects independent of weight gain or psychiatric disease, we administered olanzapine, aripiprazole, or placebo for 9 days to healthy subjects (n = 10, each group) under controlled in-patient conditions while maintaining activity levels. Prior to and after the interventions, we conducted a meal challenge and a euglycemic-hyperinsulinemic clamp to evaluate insulin sensitivity and glucose disposal. We found that olanzapine, an AAP highly associated with weight gain, causes significant elevations in postprandial insulin, glucagon-like peptide 1 (GLP-1), and glucagon coincident with insulin resistance compared with placebo. Aripiprazole, an AAP considered metabolically sparing, induces insulin resistance but has no effect on postprandial hormones. Importantly, the metabolic changes occur in the absence of weight gain, increases in food intake and hunger, or psychiatric disease, suggesting that AAPs exert direct effects on tissues independent of mechanisms regulating eating behavior.

The relationship between bipolar disorder and type 2 diabetes: more than just co-morbid disorders

Type 2 diabetes mellitus (T2DM) rates are three times higher in patients with bipolar disorder (BD), compared to the general population. This is a major contributing factor to the elevated risk of cardiovascular mortality, the leading cause of death in bipolar patients. There may be shared pathophysiology linking the two disorders, including hypothalamic-pituitary-adrenal and mitochondrial dysfunction, common genetic links, and epigenetic interactions. Life-style, phenomenology of bipolar symptoms, and adverse effects of pharmacotherapy may be contributing factors. Patients with BD and T2DM have a more severe course of illness and are more refractory to treatment. Control of their diabetes is poorer when compared to diabetics without BD, and an existing disparity in medical care may be partly responsible. Glucose abnormalities in bipolar patients need to be screened for and treated. Metformin appears to have the best benefit/risk ratio, and the dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 receptor agonists and analogues also appear promising, although these agents have not been specifically studied in populations with mood disorders. Physicians need to be aware of the increased risk for T2DM and cardiovascular disease in bipolar patients, and appropriate prevention, screening, case finding, and treatment is recommended.

Two-dimensional gel electrophoresis revealed antipsychotic drugs induced protein expression modulations in C6 glioma cells

The efficacy and side effects of long-term administration of antipsychotic drugs (APDs) may be attributed to drug-induced change in protein expression in brain cells. Glial cells are non-neuronal cells that can provide nutrients and physiological support to neuronal cells. Glial cells are believed to participate in neurotransmission, neurons' early development, and guiding migration of neurons. Accumulated clinical data also indicate relationships between disturbance of glial cells' function and various psychotic diseases including schizophrenia. We used two-dimensional gel electrophoresis coupled with MALDI-TOF/TOF mass spectrometry protein identification to analyze differentially expressed proteins in haloperidol-, risperidone-, and clozapine-treated C6 glioma cells. We found that the expression of pericentrin, glial fibrillary acidic protein, Rho GDP-dissociation inhibitor 1, anionic trypsin-1, peroxiredoxin-1, and parvalbumin were regulated by each of the three APDs. Western blot analysis supported the findings. Real-time quantitative PCR detected changed transcriptions of those proteins. Protein and gene expression of N-cadherin in C6 cells were affected by haloperidol and clozapine but not risperidone. In addition, regulatory effects of clozapine on the glyceraldehyde 3-phosphate dehydrogenase gene were observed in C6 cells. This may be the first study to uncover how APD-modulated genes may cause protein expression changes and affect ARHGDIA-mediated regulation of Rho GTPase family proteins in glial cells.

Association of genetic variants of the histamine H1 and muscarinic M3 receptors with BMI and HbA1c values in patients on antipsychotic medication

RATIONALE

Antipsychotic affinity for the histamine H1 receptor and the muscarinic M3 receptor have been associated with the side effects weight gain, and development of diabetes, respectively.

OBJECTIVES

We investigated polymorphisms of the histamine H1 (HRH1) and muscarinic acetylcholine receptor M3 (CHRM3) receptor genes for an association with body mass index (BMI) and glycated hemoglobin (HbA1c).

METHODS

We included 430 Caucasian patients with a non-affective psychotic disorder using antipsychotics for at least 3 months. Primary endpoints of the study were cross-sectionally measured BMI and HbA1c; secondary endpoints were obesity and hyperglycaemia. Two single-nucleotide polymorphisms (SNPs) in the HRH1 gene, rs346074 and rs346070, and one SNP in the CHRM3 gene, rs3738435, were genotyped. Our primary hypothesis in this study was an interaction between genotype on BMI and antipsychotic affinity for the H1 and M3 receptor.

RESULTS

A significant association of interaction between haplotype rs346074-rs346070 and BMI (p value 0.025) and obesity (p value 0.005) in patients using high-H1 affinity antipsychotics versus patients using low-H1 affinity antipsychotics was found. There was no association of CHRM3 gene variant rs3738435 with BMI, and we observed no association with HbA1c or hyperglycaemia in any of the variants.

CONCLUSIONS

This study, for the first time, demonstrates a significant association between HRH1 variants and BMI in patients with a psychotic disorder using antipsychotics. In future, genotyping of HRH1 variants may help predicting weight gain in patients using antipsychotics.

UK cost-consequence analysis of aripiprazole in schizophrenia: diabetes and coronary heart disease risk projections (STAR study)

Patients with schizophrenia experience elevated rates of morbidity and mortality, largely due to an increased incidence of cardiovascular disease and diabetes. There is increasing concern that some atypical antipsychotic therapies are associated with adverse metabolic symptoms, such as weight gain, dyslipidaemia and glucose dysregulation. These metabolic symptoms may further increase the risk of coronary heart disease (CHD) and diabetes in this population and, subsequently, the cost of treating these patients' physical health. The STAR study showed that the metabolic side effects of aripiprazole treatment are less than that experienced by those receiving standard-of-care (SOC). In a follow-up study the projected risks for diabetes or CHD, calculated using the Stern and Framingham models, were lower in the aripiprazole treatment group. Assuming the risk of diabetes onset/CHD events remained linear over 10 years, these risks were used to estimate the difference in direct and indirect cost consequences of diabetes and CHD in schizophrenia patients treated with aripiprazole or SOC over a 10-year period. Diabetes costs were estimated from the UKPDS and UK T(2)ARDIS studies, respectively, and CHD costs were estimated using prevalence data from the Health Survey of England and the published literature. All costs were inflated to 2007 costs using the NHS pay and prices index. The number of avoided diabetes cases (23.4 cases per 1,000 treated patients) in patients treated with aripiprazole compared with SOC was associated with estimated total (direct and indirect) cost savings of 37,261,293 pounds over 10 years for the UK population. Similarly, the number of avoided CHD events (3.7 events per 1,000 treated patients) was associated with estimated total cost savings of 7,506,770 pounds over 10 years. Compared with SOC, aripiprazole treatment may provide reductions in the health and economic burden to schizophrenia patients and health care services in the UK as a result of its favourable metabolic profile.

Glucose and lipid disturbances after 1 year of antipsychotic treatment in a drug-naïve population

OBJECTIVE

This study examined the main metabolic side effects induced by antipsychotic treatment in a cohort of first episode drug-naïve subjects after the first year of treatment.

METHODS

A randomized, open-label, prospective clinical trial was conducted. Participants were 164 consecutive subjects included in a first episode program and never treated with antipsychotic medication. Patients were assigned to haloperidol, olanzapine or risperidone. The main outcome measures were changes at 1 year in fasting glucose parameters (glucose, insulin levels and insulin resistance index) and changes in fasting lipid parameters (total cholesterol, triglycerides, LDL cholesterol, HDL cholesterol).

RESULTS

144 of the total sample were evaluated at 1 year. There was a statistically significant increase in the mean values of insulin levels, insulin resistance index, total cholesterol, LDL-cholesterol and triglycerides. No pathological values in fasting glucose plasma levels were found at baseline and there were no changes after 1 year. Weight gain was positively correlated with changes in insulin levels, insulin resistance index and triglyceride levels. We did not detect statistically significant differences between treatments in any of the parameters evaluated.

CONCLUSIONS

Fasting glycaemia and insulin concentrations at baseline do not support the hypothesis that schizophrenia is associated with an underlying abnormality in glucose metabolism. The changes in insulin and lipid parameters at 1 year seem to be related to the magnitude of weight gain. There were no significant differences between haloperidol, olanzapine and risperidone concerning metabolic adverse effects after the first year of treatment.

Atypical antipsychotic-induced metabolic side effects: insights from receptor-binding profiles

Atypical antipsychotic drugs offer several notable benefits over typical antipsychotics, including greater improvement in negative symptoms, cognitive function, prevention of deterioration, and quality of life, and fewer extrapyramidal symptoms (EPS). However, concerns about EPS have been replaced by concerns about other side effects, such as weight gain, glucose dysregulation and dyslipidemia. These side effects are associated with potential long-term cardiovascular health risks, decreased medication adherence, and may eventually lead to clinical deterioration. Despite a greater understanding of the biochemical effects of these drugs in recent years, the pharmacological mechanisms underlying their various therapeutic properties and related side effects remain unclear. Besides dopamine D(2) receptor antagonism, a characteristic feature of all atypical antipsychotic drugs, these agents also bind to a range of non-dopaminergic targets, including serotonin, glutamate, histamine, alpha-adrenergic and muscarinic receptors. This review examines the potential contribution of different receptors to metabolic side effects associated with atypical antipsychotic treatment for all seven agents currently marketed in the United States (risperidone, olanzapine, quetiapine, ziprasidone, aripiprazole, paliperidone and clozapine) and another agent (bifeprunox) in clinical development at the time of this publication.

Canadian Network for Mood and Anxiety Treatments (CANMAT) guidelines for the management of patients with bipolar disorder: update 2007

In 2005, the Canadian Network for Mood and Anxiety Treatments (CANMAT) published guidelines for the management of bipolar disorder. This update reviews new evidence since the previous publication and incorporates recommendations based on the most current evidence for treatment of various phases of bipolar disorder. It is designed to be used in conjunction with the 2005 CANMAT Guidelines. The recommendations for the management of acute mania remain mostly unchanged. Lithium, valproate and several atypical antipsychotics continue to be recommended as first-line treatments for acute mania. For the management of bipolar depression, new data support quetiapine monotherapy as a first-line option. Lithium and lamotrigine monotherapy, olanzapine plus selective serotonin reuptake inhibitors (SSRI), and lithium or divalproex plus SSRI/bupropion continue to remain the other first-line options. First-line options in the maintenance treatment of bipolar disorder continue to be lithium, lamotrigine, valproate and olanzapine. There is recent evidence to support the combination of olanzapine and fluoxetine as a second-line maintenance therapy for bipolar depression. New data also support quetiapine monotherapy as a second-line option for the management of acute bipolar II depression. The importance of comorbid psychiatric and medical conditions cannot be understated, and this update provides an expanded look at the prevalence, impact and management of comorbid conditions in patients with bipolar disorder.