Vicki Poole Hoffmann

Risk of Treatment-Emergent Diabetes Mellitus in Patients Receiving Antipsychotics

Background: Type 2 diabetes mellitus has been reported during antipsychotic treatment. Objective: To quantify the potential risk of treatment-emergent diabetes mellitus among patients receiving antipsychotic medications. Methods: The MEDLINE and Psychinfo databases were searched using the key words antipsychotic (including individual drug names), diabetes, risk, and incidence for all English-language articles published between 1966 and 2005. Risk calculations were performed using data obtained from pharmacoepidemiologic studies that met the following criteria: (1) cohort design, (2) determination of preexisting diabetes, (3) inclusion of antipsychotic monotherapy as an exposure variable, and (4) comparison with exposure to first-generation antipsychotics. Studies meeting these criteria were used to calculate incidence, attributable risk between agents, and number needed to harm. Results: A total of 25 observational pharmacoepidemiologic studies were found comparing antipsychotics on the outcome of diabetes mellitus. Sufficient information was provided in 15 of the reports to be able to estimate attributable risk, Attributable risk for individual second-generation antipsychotics relative to first-generation antipsychotics ranged from 53 more to 46 fewer new cases of diabetes per 1000 patients. Little observable difference was noted between the individual second-generation antipsychotics versus first-generation antipsychotics on this outcome. However, few of the studies controlled for body weight, race or ethnicity, or the presence of diabetogenic medications. None adjusted for familial history of diabetes, levels of physical activity, or diet, as this information is not usually available in the databases used in pharmacoepidemiologic studies. Conclusions: Based on the published pharmacoepidemiologic reports reviewed, the avoidance of diabetes as an outcome cannot be predictably achieved with precision by choice of a second- versus a first-generation antipsychotic. Risk management for new-onset diabetes requires the assessment of established risk factors such as family history, advancing age, non-white ethnicity, diet, central obesity, and level of physical activity.

Weight Gain and Changes in Metabolic Variables following Olanzapine Treatment in Schizophrenia and Bipolar Disorder

Antipsychotic therapy forms the cornerstone of treatment for people with severe mental illness. Second-generation (atypical) antipsychotics are associated with a significantly lower incidence of extrapyramidal symptoms than the typical, first-generation agents; however, changes in metabolic variables — including impaired glucose metabolism, diabetes mellitus, weight gain and dyslipidaemia — have been reported during treatment with second-generation antipsychotics. Understanding any potential link between antipsychotic treatment and the incidence of these events is complicated by the increasing prevalence of obesity and diabetes occurring in the general population and the increased risk of diabetes and changes in metabolic variables in people with schizophrenia. While relative risk estimates are inconsistent, the association between atypical antipsychotics and increases in glucose level appears to fall on a continuum, with olanzapine appearing to have a greater association than some other atypical antipsychotics. The PubMed database was used to search for publications that included any information on measures of changes in weight, body mass index (BMI) and/or metabolic variables in randomized studies of olanzapine published between 1992 and 2010. In longterm (≥48 weeks) studies of olanzapine, the mean weight gain was 5.6 kg (last observation carried forward; median exposure 573 days). The proportions of patients who gained at least 7%, 15% or 25% of their baseline weight with long-term exposure were 64%, 32% and 12%, respectively. Some studies have suggested that weight gain early during the course of olanzapine treatment may predict clinically significant weight gain following long-term exposure to the drug. Changes in metabolic variables, such as elevated indices of glucose metabolism and triglyceride level, have also been observed during treatment with olanzapine. Consensus guidelines emphasize the importance of appropriate baseline screening and ongoing monitoring of weight gain and metabolic variables for people receiving all antipsychotic treatments. Long-term weight management programmes have been shown to reduce weight gain in some patients.

Trial of Solanezumab for Mild Dementia Due to Alzheimer’s Disease

BACKGROUND Alzheimers disease is characterized by amyloid‐beta (Aβ) plaques and neurofibrillary tangles. The humanized monoclonal antibody solanezumab was designed to increase the clearance from the brain of soluble Aβ, peptides that may lead to toxic effects in the synapses and precede the deposition of fibrillary amyloid. METHODS We conducted a double‐blind, placebo‐controlled, phase 3 trial involving patients with mild dementia due to Alzheimers disease, defined as a Mini–Mental State Examination (MMSE) score of 20 to 26 (on a scale from 0 to 30, with higher scores indicating better cognition) and with amyloid deposition shown by means of florbetapir positron‐emission tomography or Aβ1‐42 measurements in cerebrospinal fluid. Patients were randomly assigned to receive solanezumab at a dose of 400 mg or placebo intravenously every 4 weeks for 76 weeks. The primary outcome was the change from baseline to week 80 in the score on the 14‐item cognitive subscale of the Alzheimers Disease Assessment Scale (ADAS‐cog14; scores range from 0 to 90, with higher scores indicating greater cognitive impairment). RESULTS A total of 2129 patients were enrolled, of whom 1057 were assigned to receive solanezumab and 1072 to receive placebo. The mean change from baseline in the ADAS‐cog14 score was 6.65 in the solanezumab group and 7.44 in the placebo group, with no significant between‐group difference at week 80 (difference, ‐0.80; 95% confidence interval, ‐1.73 to 0.14; P=0.10). As a result of the failure to reach significance with regard to the primary outcome in the prespecified hierarchical analysis, the secondary outcomes were considered to be descriptive and are reported without significance testing. The change from baseline in the MMSE score was ‐3.17 in the solanezumab group and ‐3.66 in the placebo group. Adverse cerebral edema or effusion lesions that were observed on magnetic resonance imaging after randomization occurred in 1 patient in the solanezumab group and in 2 in the placebo group. CONCLUSIONS Solanezumab at a dose of 400 mg administered every 4 weeks in patients with mild Alzheimers disease did not significantly affect cognitive decline. (Funded by Eli Lilly; EXPEDITION3 ClinicalTrials.gov number, NCT01900665.)

Retrospective Cohort Study of Diabetes Mellitus and Antipsychotic Treatment in a Geriatric Population in the United States

OBJECTIVES The objective of this study was to investigate risk of diabetes among elderly patients during treatment with antipsychotic medications. DESIGN We conducted a longitudinal, retrospective study assessing the incidence of new prescription claims for antihyperglycemic agents during antipsychotic therapy. SETTING Prescription claims from the AdvancePCS claim database were followed for 6 to 9 months. PARTICIPANTS Study participants consisted of patients in the United States aged 60+ and receiving antipsychotic monotherapy. The following cohorts were studied: an elderly reference population (no antipsychotics: n = 1,836,799), those receiving haloperidol (n = 6481) or thioridazine (n = 1658); all patients receiving any conventional antipsychotic monotherapy (n = 11,546), clozapine (n = 117), olanzapine (n = 5382), quetiapine (n = 1664), and risperidone (n = 12,244), and all patients receiving any atypical antipsychotic monotherapy (n = 19,407). MEASUREMENTS We used Cox proportional hazards regression to determine the risk ratio of diabetes for antipsychotic cohorts relative to the reference population. Covariates included sex and exposure duration. RESULTS New antihyperglycemic prescription rates were higher in each antipsychotic cohort than in the reference population. Overall rates were no different between atypical and conventional antipsychotic cohorts. Among individual antipsychotic cohorts, rates were highest among patients treated with thioridazine (95% confidence interval [CI], 3.1- 5.7), lowest with quetiapine (95% CI, 1.3-2.9), and intermediate with haloperidol, olanzapine, and risperidone. Among atypical cohorts, only risperidone users had a significantly higher risk (95% CI, 1.05-1.60; P = 0.016) than for haloperidol. Conclusions about clozapine were hampered by the low number of patients. CONCLUSION These data suggest that diabetes risk is elevated among elderly patients receiving antipsychotic treatment. However, causality remains to be demonstrated. As a group, the risk for atypical antipsychotic users was not significantly different than for users of conventional antipsychotics.

Factors associated with weight gain during olanzapine treatment in patients with schizophrenia or bipolar disorder: Results from a six-month prospective, multinational, observational study

The aim of this 6-month observational study was to examine which clinical, eating- and lifestyle-related factors were associated with weight gain in patients initiating or switching to oral olanzapine for the treatment of schizophrenia or bipolar mania. A total of 622 outpatients in four countries (China, Mexico, Romania, Taiwan) were assessed at monthly intervals for up to 6 months. Mixed model repeated-measures analysis, adjusted for baseline weight, was used to identify which factors were associated with weight gain during olanzapine therapy. After 6 months of therapy, the LS mean weight change was +4.1 kg and 43.9% of the patients had significant (≥7%) weight gain. Early significant weight gain after 2 months of therapy occurred in 23.4% of the patients and these patients gained significantly more weight overall. Ten factors were associated with weight gain during 6 months of olanzapine therapy in an exploratory multivariate analysis: country, housing conditions, stronger appetite, excessive amount of food needed to feel full, eating until uncomfortably full, thoughts preoccupied with food, meal location, increased meal frequency, evening snack consumption, and a lower amount of vigorous exercise. These results indicate that the influence of environmental, eating- and lifestyle-related factors should be considered when assessing weight gain during olanzapine therapy.

A randomized controlled trial of the effect of sublingual orally disintegrating olanzapine versus oral olanzapine on body mass index: The PLATYPUS Study

BACKGROUND Patients with schizophrenia and bipolar disorder have frequently reported weight gain during olanzapine treatment. Previous studies have observed a decrease in weight gain, or weight loss, in patients switching from standard olanzapine tablets (SOT) to orally disintegrating olanzapine (ODO) tablets. The primary objective of this study was to investigate the change in body mass index (BMI) in patients who had previously gained weight with SOT and continued with this therapy during the study period, compared with those patients who switched to ODO during the study period. METHODS This was a 16-week, multicentre, randomized, double-blind, double-dummy, study of outpatients diagnosed with schizophrenia, schizoaffective disorder, related psychotic disorder or bipolar disorder, who were taking 5-20 mg SOT daily. Patients continued treatment with 5-20 mg olanzapine in a flexible single daily dose, and were randomized to either receive sublingual ODO plus an oral placebo, or sublingual placebo plus SOT. RESULTS No statistically significant between group differences in mean change from baseline in BMI, weight or waist circumference were observed. Analysis of change in body weight from baseline, by pre-specified category (no change, loss of >or=1.5 kg, gain of >or=1.5 kg), revealed a significant difference between groups, favoring ODO patients, who also experienced a significant reduction in subjective appetite and better treatment compliance, compared to patients in the SOT group. CONCLUSIONS In this study, patients treated with ODO experienced a similar mean change in BMI and weight from baseline, to those patients treated with SOT.

Analysis of gene variants previously associated with iloperidone response in patients with schizophrenia who are treated with risperidone.

OBJECTIVE We examined 6 single nucleotide polymorphisms (SNPs) previously reported to be associated with response to iloperidone therapy for association with response to risperidone therapy. METHOD Patients with schizophrenia (DSM-IV) were assessed during 2006 and 2007 for response/nonresponse (defined as ≥ 20%/<20% improvement in Positive and Negative Syndrome Scale [PANSS] total score) after 2 weeks of risperidone treatment (2 to 6 mg/d). Responders continued risperidone treatment; nonresponders were randomly assigned to either risperidone or olanzapine treatment (10 to 20 mg/d) for an additional 10 weeks. Associations between change in PANSS total (primary outcome measure), positive, and negative scores and the 6 SNPs were examined in risperidone-treated patients (N = 145). Genotype frequencies and improvement in PANSS total scores were analyzed for those SNPs significantly associated with change in PANSS total score. RESULTS The SNPs XKR4 rs9643483 and GRIA4 rs2513265 were significantly associated with change in PANSS total response (adjusted P < .05 for both), with the same direction of effect as reported for iloperidone. For patients with nonresponsive genotypes for these SNPs, mean improvement in PANSS total score for African Americans was two-thirds that seen for whites (XKR4: -13.9 versus -21.4; GRIA4: -12.5 versus -20.9). CONCLUSIONS In this retrospective pharmacogenomic analysis, we found that 2 SNPs previously linked to iloperidone response were also associated with response to risperidone. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00337662.

Double-blind, randomized trial comparing efficacy and safety of continuing olanzapine versus switching to quetiapine in overweight or obese patients with schizophrenia or schizoaffective disorder

We examined the potential risks and benefits of switching from olanzapine to quetiapine in mentally stable, obese, or overweight patients with schizophrenia or schizoaffective disorder. Patients receiving olanzapine were randomized to continuing olanzapine treatment (N =68; 7.5–20 mg/day) or switching to quetiapine (N =65; 300–800 mg/day). Time to relapse was the primary study objective; secondary objectives included changes in weight, metabolic parameters, and psychiatric symptoms, and discontinuation rates. No significant difference in time to relapse was observed (p =0.293), but significantly more patients remained on treatment in the olanzapine group compared with the quetiapine group (70.6% vs 43.1%; p =0.002). Olanzapine-treated patients had significantly lower rates of study discontinuation for lack of efficacy and psychiatric adverse events (AEs) compared to quetiapine (2.94% vs 15.38%, p =0.015). Significantly more patients in the olanzapine group experienced an increase in BMI ≥1 kg/m2. Olanzapine-treated patients experienced significantly greater increases in weight from Weeks 2 through 13. Switching patients with stable disease from olanzapine to quetiapine did not significantly shorten time to relapse, but produced more frequent study discontinuations due to lack of efficacy or psychiatric AEs with moderate but variable improvement in weight and no significant between-group differences in mean changes in metabolic laboratory parameters.

Early evaluation of patient risk for substantial weight gain during olanzapine treatment for schizophrenia, schizophreniform, or schizoaffective disorder.

BackgroundTo make well informed treatment decisions for their patients, clinicians need credible information about potential risk for substantial weight gain. We therefore conducted a post-hoc analysis of clinical trial data, examining early weight gain as a predictor of later substantial weight gain.MethodsData from 669 (Study 1) and 102 (Study 2) olanzapine-treated patients diagnosed with schizophrenia, schizophreniform, or schizoaffective disorder were analyzed to identify and validate weight gain cut-offs at Weeks 1–4 that were predictive of substantial weight gain (defined as an increase of ≥ 5, 7, 10 kg or 7% of baseline weight) after approximately 30 weeks of treatment. Baseline characteristics alone, baseline characteristics plus weight change from baseline to Weeks 1, 2, 3 or 4, and weight change from baseline to Weeks 1, 2, 3, or 4 alone were evaluated as predictors of substantial weight gain. Similar analyses were performed to determine BMI increase cut-offs at Weeks 1–4 of treatment that were predictive of substantial increase in BMI (1, 2 or 3 kg/m2 increase from baseline).ResultsAt Weeks 1 and 2, predictions based on early weight gain plus baseline characteristics were more robust than those based on early weight gain alone. However, by Weeks 3 and 4, there was little difference between the operating characteristics associated with these two sets of predictors. The positive predictive values ranged from 30.1% to 73.5%, while the negative predictive values ranged from 58.1% to 89.0%. Predictions based on early BMI increase plus baseline characteristics were not uniformly more robust at any time compared to those based on early BMI increase alone. The positive predictive values ranged from 38.3% to 83.5%, while negative predictive values ranged from 42.1% to 84.7%. For analyses of both early weight gain and early BMI increase, results for the validation dataset were similar to those observed in the primary dataset.ConclusionResults from these analyses can be used by clinicians to evaluate risk of substantial weight gain or BMI increase for individual patients. For instance, negative predictive values based on data from these studies suggest approximately 88% of patients who gain less than 2 kg by Week 3 will gain less than 10 kg after 26–34 weeks of olanzapine treatment. Analysis of changes in BMI suggests that approximately 84% of patients who gain less than .64 kg/m2 in BMI by Week 3 will gain less than 3 kg/m2 in BMI after 26–34 weeks of olanzapine treatment. Further research in larger patient populations for longer periods is necessary to confirm these results.

Pharmacogenomic associations with weight gain in olanzapine treatment of patients without schizophrenia.

OBJECTIVE Pharmacogenomic analyses of weight gain during treatment with second-generation antipsychotics have resulted in a number of associations with variants in ankyrin repeat and kinase domain containing 1 (ANKK1)/dopamine D2 receptor (DRD2) and serotonin 2C receptor (HTR2C) genes. These studies primarily assessed subjects with schizophrenia who had prior antipsychotic exposure that may have influenced the amount of weight gained from subsequent therapies. We assessed the relationships between single-nucleotide polymorphisms (SNPs) in these genes with weight gain during treatment with olanzapine in a predominantly antipsychotic-naive population. METHOD The association between 5 ANKK1, 54 DRD2, and 11 HTR2C SNPs and weight change during 8 weeks of olanzapine treatment was assessed in 4 pooled studies of 205 white patients with diagnoses other than schizophrenia who were generally likely to have had limited previous antipsychotic exposure. RESULTS The A allele of DRD2 rs2440390(A/G) was associated with greater weight gain in the entire study sample (P = .0473). Three HTR2C SNPs in strong linkage disequilibrium, rs6318, rs2497538, and rs1414334, were associated with greater weight gain in women but not in men (P = .0032, .0012, and .0031, respectively). A significant association with weight gain for 2 HTR2C SNPs previously reported associated with weight gain, -759C/T (rs3813929) and -697G/C (rs518147), was not found. CONCLUSIONS Associations between weight gain and HTR2C and DRD2 variants in whites newly exposed to olanzapine may present opportunities for the individualization of medication selection and development based on differences in adverse events observed across genotype groups.