olanzapine and Coronary-Artery-Disease

This study examined the clinical significance of switching from olanzapine, quetiapine, or risperidone to aripiprazole by examining changes in predicted risk of cardiovascular disease (CVD) according to the Framingham Risk Score (FRS) and metabolic syndrome status. FRS estimates 10-year risk of "hard" coronary heart disease (CHD) outcomes (myocardial infarction and coronary death) while metabolic syndrome is associated with increased risk of CVD, stroke, and diabetes mellitus.. Changes in FRS and metabolic syndrome status were compared between patients with BMI ≥ 27 and non-HDL-C ≥ 130 mg/dL randomly assigned to stay on stable current treatment (olanzapine, quetiapine, or risperidone) or switch to treatment with aripiprazole with 24 weeks of follow-up. All study participants were enrolled in a behavioral program that promoted healthy diet and exercise.. The pre-specified analyses included 89 switchers and 98 stayers who had post-baseline measurements needed to assess changes. Least squares mean estimates of 10-year CHD risk decreased more for the switch (from 7.0% to 5.2%) than the stay group (from 7.4% to 6.4%) (p = 0.0429). The odds ratio for having metabolic syndrome (stay vs. switch) at the last observation was 1.748 (95% CI 0.919, 3.324, p = 0.0885).. Switching from olanzapine, quetiapine, or risperidone to aripiprazole was associated with larger reductions in predicted 10-year risk of CHD than the behavioral program alone. The advantage of switching on metabolic syndrome was not statistically significant. The benefits of switching must be balanced against its risks, which in this study included more discontinuations of the study treatment but no significant increase in symptoms or hospitalizations.

Topics: Adult; Antipsychotic Agents; Aripiprazole; Benzodiazepines; Coronary Artery Disease; Dibenzothiazepines; Drug Substitution; Female; Humans; Longitudinal Studies; Male; Metabolic Syndrome; Middle Aged; Multicenter Studies as Topic; Odds Ratio; Olanzapine; Piperazines; Quetiapine Fumarate; Quinolones; Risperidone

Channeling occurs when a medication and its potential comparators are selectively prescribed based on differences in underlying patient characteristics. Drug safety advisories can provide new information regarding the relative safety or effectiveness of a drug product which might increase selective prescribing. In particular, when reported adverse effects vary among drugs within a therapeutic class, clinicians may channel patients toward or away from a drug based on the patient's underlying risk for an adverse outcome. If channeling is not identified and appropriately managed it might lead to confounding in observational comparative effectiveness studies.. To demonstrate channeling among new users of second generation antipsychotics following a Food and Drug Administration safety advisory and to evaluate the impact of channeling on cardiovascular risk estimates over time.. Florida Medicaid data from 2001-2006.. Retrospective cohort of adults initiating second generation antipsychotics. We used propensity scores to match olanzapine initiators with other second generation antipsychotic initiators. To evaluate channeling away from olanzapine following an FDA safety advisory, we estimated calendar time-specific propensity scores. We compare the performance of these calendar time-specific propensity scores with conventionally-estimated propensity scores on estimates of cardiovascular risk.. Increased channeling away from olanzapine was evident for some, but not all, cardiovascular risk factors and corresponded with the timing of the FDA advisory. Covariate balance was optimized within period and across all periods when using the calendar time-specific propensity score. Hazard ratio estimates for cardiovascular outcomes did not differ across models (Conventional PS: 0.97, 95%CI: 0.81-3.18 versus calendar time-specific PS: 0.93, 95%CI: 0.77-3.04).. Changes in channeling over time was evident for several covariates but had limited impact on cardiovascular risk estimates, possibly due to unmeasured confounding. Although calendar time-specific propensity scores appear to improve covariate balance, the impact on comparative effectiveness results is limited in this setting.

Topics: Adolescent; Adult; Antipsychotic Agents; Benzodiazepines; Cohort Studies; Comparative Effectiveness Research; Coronary Artery Disease; Humans; Male; Middle Aged; Olanzapine; Propensity Score; Proportional Hazards Models; Time Factors; Young Adult

Topics: Antipsychotic Agents; Benzodiazepines; Bias; Biomarkers; Coronary Artery Disease; Cross-Sectional Studies; Fasting; Humans; Metabolic Syndrome; Olanzapine; Research Design; Risk Factors; Risperidone

It is important to assess cardiovascular risk factors to properly verify the potential consequences of atypical antipsychotic-related weight gain. The objective of the present study was to evaluate whether 2 atypical antipsychotics differ regarding their impact on the cardiovascular disease risk profile compared with a reference group.. We conducted a cross-sectional, multicenter study to assess anthropometric indices of obesity and to obtain a comprehensive fasting metabolic risk profile. Either risperidone or olanzapine had to be prescribed as the first and only antipsychotic for a minimum of 6 months. Patients were compared with a reference group of nondiabetic men. Data were collected from August 1999 to August 2001.. Eighty-seven patients treated with olanzapine (N = 42) or risperidone (N = 45) were evaluated. Olanzapine-treated patients had significantly higher plasma triglyceride concentrations (2.01 +/-1.05 vs. 1.34 +/-0.65 mmol/L, p < or =.05), lower high-density lipoprotein (HDL)-cholesterol levels (0.92 +/-0.17 vs. 1.04 +/- 0.21 mmol/L, p < or =.05), higher cholesterol/HDL-cholesterol ratios (5.62 +/-1.70 vs. 4.50 +/- 1.44, p < or =.05), higher apolipoprotein B levels (1.07 +/- 0.35 vs. 0.92 +/- 0.27 g/L, p < or =.05), smaller low-density lipoprotein peak particle diameters (252.6 +/-4.1 vs. 255.2 +/-4.3 A, p <.01), and higher fasting insulin concentrations (103.9 +/- 67.6 vs. 87.5 +/- 56.1 pmol/L, p < or =.05) than risperidone-treated patients. Moreover, 33% of olanzapine-treated patients were carriers of 3 atherogenic features of the metabolic syndrome as opposed to a prevalence of only 11% of risperidone-treated patients.. These results suggest that olanzapine-treated patients are characterized by a more deteriorated metabolic risk factor profile compared with risperidone-treated patients. These observations raise concerns about the potential differential long-term deleterious effects of some antipsychotics, such as olanzapine, on cardiovascular health.

Topics: Adult; Antipsychotic Agents; Benzodiazepines; Biomarkers; Carrier State; Cholesterol, HDL; Coronary Artery Disease; Cross-Sectional Studies; Factor Analysis, Statistical; Fasting; Health Surveys; Humans; Hypertriglyceridemia; Insulin; Male; Metabolic Syndrome; Obesity; Olanzapine; Prevalence; Psychotic Disorders; Risk Factors; Risperidone; Weight Gain