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.
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.
Authors: Almut G Winterstein; Paul Kubilis; Steve Bird; Rhonda M Cooper-DeHoff; Greg A Nichols; Joseph A Delaney Journal: Pharmacoepidemiol Drug Saf Date: 2014-06-12 Impact factor: 2.890
Authors: Marianne Ulcickas Yood; Gerald N Delorenze; Charles P Quesenberry; Susan A Oliveria; Ai-Lin Tsai; Edward Kim; Mark J Cziraky; Robert D McQuade; John W Newcomer; Gilbert J L'italien Journal: BMC Psychiatry Date: 2011-12-15 Impact factor: 3.630
Authors: Ki Jung Chang; Chang Hyung Hong; Yunhwan Lee; Kang Soo Lee; Hyun Woong Roh; Joung Hwan Back; Young Ki Jung; Ki Young Lim; Jai Sung Noh; Hyun Chung Kim; Seong Hye Choi; Seong Yoon Kim; Duk L Na; Sang Won Seo; Soojin Lee; Sang Joon Son Journal: Medicine (Baltimore) Date: 2015-06 Impact factor: 1.889