Morrato Elaine H, Cuffel Brian, Newcomer John W, Lombardo Ilise, Kamat Siddhesh, Barron John
Department of Pediatrics, School of Medicine, Management and Policy Colorado School of Public Health, University of Colorado Denver, Aurora, CO 80045-0508, USA.
J Clin Psychopharmacol. 2009 Feb;29(1):26-32. doi: 10.1097/JCP.0b013e31819294cb.
Routine metabolic screening and consideration of patient metabolic status in the choice of a second-generation antipsychotic (SGA) medication are recommended. This study evaluated the association between abnormal blood glucose and lipid values and SGA prescribing patterns.
A retrospective cohort study using administrative data from 2 managed care plans in the United States evaluated 7904 adults initiating SGA therapy between 2001 and 2004. Baseline serum glucose, total cholesterol, and triglyceride values were available for 989 patients (12.5%), and follow-up assessments were done in 699 patients (8.8%). Abnormal values were defined as the following: total cholesterol, 200 mg/dL or higher; triglycerides, 200 mg/dL or higher; and glucose, 126 mg/dL or higher. The likelihood of abnormal laboratory values being associated with selection of a lower metabolic risk SGA drug (aripiprazole or ziprasidone) and with switching decisions was assessed using multivariate logistic regression models.
Thirteen percent of the patients had glucose and lipid tests within 6 months of starting SGA therapy. The likelihood of starting a patient on an SGA drug with lower metabolic risk (ziprasidone: odds ratio, 3.26; 95% confidence interval, 1.25-8.47; aripiprazole: odds ratio, 2.13; 95% confidence interval, 0.77-5.88) was higher if the patient had elevated glucose values but was not associated with elevated cholesterol or triglyceride values or if the patient had preexisting diabetes or dyslipidemia. Abnormal glucose and lipid values were not associated with switching SGA medications in the first 6 months of therapy. Among patients who did switch SGA medications, elevated glucose and lipid values were not associated with a greater likelihood of switching to aripiprazole or ziprasidone.
Low rates of recommended monitoring were observed. Abnormal metabolic parameters among those who were tested were not consistently associated with the selection of an SGA drug with lower metabolic risk.
建议进行常规代谢筛查,并在选择第二代抗精神病药物(SGA)时考虑患者的代谢状况。本研究评估了血糖和血脂异常值与SGA处方模式之间的关联。
一项回顾性队列研究,使用美国2个管理式医疗计划的管理数据,评估了2001年至2004年间开始SGA治疗的7904名成年人。989名患者(12.5%)可获得基线血清葡萄糖、总胆固醇和甘油三酯值,699名患者(8.8%)进行了随访评估。异常值定义如下:总胆固醇200mg/dL或更高;甘油三酯200mg/dL或更高;葡萄糖126mg/dL或更高。使用多变量逻辑回归模型评估实验室异常值与选择低代谢风险SGA药物(阿立哌唑或齐拉西酮)以及换药决策相关的可能性。
13%的患者在开始SGA治疗后6个月内进行了血糖和血脂检测。如果患者血糖值升高,但与胆固醇或甘油三酯值升高无关,或者患者已有糖尿病或血脂异常,则开始使用低代谢风险SGA药物(齐拉西酮:比值比,3.26;95%置信区间,1.25 - 8.47;阿立哌唑:比值比,2.13;95%置信区间,0.77 - 5.88)的可能性更高。血糖和血脂异常值与治疗前6个月内更换SGA药物无关。在确实更换SGA药物的患者中,血糖和血脂值升高与换用阿立哌唑或齐拉西酮可能性增加无关。
观察到推荐监测的比例较低。接受检测者的异常代谢参数与选择低代谢风险SGA药物之间并非始终相关。