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非典型抗精神病药物的副作用:锥体外系症状和代谢综合征。

Side effects of atypical antipsychotics: extrapyramidal symptoms and the metabolic syndrome.

作者信息

Shirzadi Arshia A, Ghaemi S Nassir

机构信息

Harvard South Shore Psychiatry Program, Brockton, MA, USA.

出版信息

Harv Rev Psychiatry. 2006 May-Jun;14(3):152-64. doi: 10.1080/10673220600748486.

Abstract

In this article we examine the two major classes of side effects with atypical antipsychotics: extrapyramidal symptoms (EPS) and the metabolic syndrome (the triad of diabetes, dyslipidemia, and hypertension, with associated obesity). We conclude that atypical antipsychotics continue to have notable risks of EPS, particularly akathisia, and that these agents also appear to increase the risk of the metabolic syndrome, though this effect seems most marked with clozapine and olanzapine. Novel conclusions based on this review are as follows: we provide a classification scheme based on low versus high D2 binding affinity (which is, to our knowledge, a new means of classifying atypical antipsychotics); we emphasize that the akathisia risk is likely equal among agents and that tardive dyskinesia is an early, and not late, risk in treatment (a common misconception); we make the methodological point that in randomized clinical trials, there is a high risk of false-negatives regarding side effects; we raise the issue of confounding bias in epidemiological studies of metabolic syndrome; and we stress the need to compare side effects in the same studies and not different studies. Future prospective observational cohort studies must target side effects and be designed to collect and analyze data on confounding factors.

摘要

在本文中,我们研究了非典型抗精神病药物的两大类副作用:锥体外系症状(EPS)和代谢综合征(糖尿病、血脂异常和高血压三联征,并伴有肥胖)。我们得出结论,非典型抗精神病药物仍然存在显著的EPS风险,尤其是静坐不能,而且这些药物似乎也会增加代谢综合征的风险,尽管这种影响在氯氮平和奥氮平中最为明显。基于本综述得出的新结论如下:我们提供了一种基于低与高D2结合亲和力的分类方案(据我们所知,这是一种对非典型抗精神病药物进行分类的新方法);我们强调各药物的静坐不能风险可能相同,且迟发性运动障碍是治疗早期而非晚期的风险(这是一个常见的误解);我们提出一个方法学观点,即在随机临床试验中,副作用出现假阴性的风险很高;我们提出了代谢综合征流行病学研究中的混杂偏倚问题;并且我们强调需要在同一研究而非不同研究中比较副作用。未来的前瞻性观察队列研究必须以副作用为目标,并设计用于收集和分析混杂因素的数据。

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