Citrome Leslie L, Holt Richard I G, Zachry Woodie M, Clewell Jerry D, Orth Paul A, Karagianis Jamie L, Hoffmann Vicki Poole
Department of Psychiatry, School of Medicine, New York University, New York, NY, USA.
Ann Pharmacother. 2007 Oct;41(10):1593-603. doi: 10.1345/aph.1K141. Epub 2007 Sep 4.
Type 2 diabetes mellitus has been reported during antipsychotic treatment.
To quantify the potential risk of treatment-emergent diabetes mellitus among patients receiving antipsychotic medications.
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.
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.
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.
抗精神病药物治疗期间曾有2型糖尿病的报道。
量化接受抗精神病药物治疗的患者出现治疗引发糖尿病的潜在风险。
使用关键词“抗精神病药”(包括个别药物名称)、“糖尿病”、“风险”和“发病率”检索MEDLINE和Psychinfo数据库,查找1966年至2005年发表的所有英文文章。风险计算使用从符合以下标准的药物流行病学研究中获得的数据:(1)队列设计;(2)确定既往糖尿病情况;(3)将抗精神病单药治疗作为暴露变量纳入;(4)与第一代抗精神病药物暴露进行比较。符合这些标准的研究用于计算发病率、药物之间的归因风险以及伤害所需人数。
共发现25项观察性药物流行病学研究比较了抗精神病药物对糖尿病结局的影响。15篇报告提供了足够信息以估计归因风险。相对于第一代抗精神病药物,个别第二代抗精神病药物的归因风险为每1000名患者新增糖尿病病例多53例或少46例。在这一结局上,个别第二代抗精神病药物与第一代抗精神病药物之间几乎没有明显差异。然而,很少有研究对体重、种族或民族或致糖尿病药物的存在进行控制。没有一项研究对糖尿病家族史、身体活动水平或饮食进行调整,因为这些信息在药物流行病学研究使用的数据库中通常无法获得。
根据所审查的已发表药物流行病学报告,通过选择第二代而非第一代抗精神病药物,无法精确且可预测地避免糖尿病这一结局。新发糖尿病的风险管理需要评估既定风险因素,如家族史、年龄增长、非白人种族、饮食、中心性肥胖和身体活动水平。