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抗精神病药与肺炎发病风险关系的 Meta 分析

董小方 刘延锦 王爱霞 王敏

中国全科医学2016,Vol.19Issue(14):1684-1688,5.
中国全科医学2016,Vol.19Issue(14):1684-1688,5.DOI:10.3969/j.issn.1007-9572.2016.14.016

抗精神病药与肺炎发病风险关系的 Meta 分析

Meta Analysis of the Relation Between Antipsychotic Drug and the Risk of Pneumonia

董小方 1刘延锦 1王爱霞 1王敏1

作者信息

  • 1. 450052 河南省郑州市,郑州大学第一附属医院
  • 折叠

摘要

Abstract

Objective To investigate the association between antipsychotic drug exposure and the risk of pneumonia by meta analysis. Methods A computer _ based retrieval was made on PubMed,Web of Science,OVID,Elsevier,CNKI and Wanfang database with a time range from database establishment to July 2015. Two researchers separately conducted methodological quality evaluation using Newcastle _ Ottawa Scale(NOS)and extrated data which mainly included the first author, publication time,region,research type,age,adjusting factors,sample size,outcome and effect size. Results We included 6 pieces of literatures and 42 069 research subjects,and NOS score of each literature was over 5. Meta analysis of combined case_ control study showed that patients with history of FGA exposure had higher risk of pneumonia than patients without history of FGA exposure〔OR = 1. 73,95% CI(1. 49,2. 00),P < 0. 001〕,and patients with history of SGA exposure had higher risk of pneumonia than patients without history of SGA exposure〔 OR = 1. 92,95% CI( 1. 68,2. 19 ),P < 0. 001 〕. Subgroup analysis based on age(≥65 and < 65),research type(case _ control study and cohort study)and region(Chinese Taipei and others)showed that patients with history of FGA and SGA exposure had higher risk of pneumonia than patients without history of FGA and SGA exposure( P < 0. 001). Conclusion FGA and SGA increase the risk of pneumonia,and the occurrence of pneumonia should be monitored when taking antipsychotic drug.

关键词

抗精神病药/肺炎/Meta 分析

Key words

Antipsychotic agents/Pneumonia/Meta analysis

分类

医药卫生

引用本文复制引用

董小方,刘延锦,王爱霞,王敏..抗精神病药与肺炎发病风险关系的 Meta 分析[J].中国全科医学,2016,19(14):1684-1688,5.

基金项目

河南省医学科技公关计划 ()

中国全科医学

OA北大核心CSTPCD

1007-9572

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