我院老年科患者药品不良反应发生的影响因素分析 点击下载
论文标题: 我院老年科患者药品不良反应发生的影响因素分析
英文标题:
中文摘要: 目的:考察老年患者用药期间发生药品不良反应(ADR)的影响因素,为降低老年科ADR发生率提供参考。方法:收集2011年1月-2015年12月在我院老年科住院治疗的老年患者的临床资料,采用单因素和非条件Loigstic多因素回归进行分析,考察引起ADR的危险影响因素。结果:共有1 680例患者经药物治疗,其ADR发生率为7.92%(133/1 680)。ADR累及器官/系统以过敏反应(49例,36. 84%)和消化系统(48例,36.09%)为主。经单因素分析发现,患者年龄、给药剂量、给药途径、用药疗程和合并用药种数等均为发生ADR的独立影响因素。经非条件Loigstic多因素回归分析发现,给药剂量大、用药疗程长、静脉给药和同时使用多种药物等因素均使患者发生ADR的危险性增加。结论:临床在监测ADR工作中尤其需重视对老年患者ADR危险因素的监测,加强对其用药指导以提高用药依从性,采取必要的防治措施以降低ADR的发生率。
英文摘要: OBJECTIVE: To investigate the influential factors of adverse drug reaction (ADR) in elderly patients during medication, and to provide reference for reducing the incidence of ADR in geriatrics department. METHODS: The clinical data of elderly patients admitted to our hospital from Jan. 2011 to Dec. 2015 were collected and analyzed by single factor and unconditional Loigstic multiple regression analysis. The risk influential factors of ADR were investigated. RESULTS: A total of 1 680 patients received drug therapy, and the incidence of ADR was 7.92% (133/1 680). Organs/systems involved in ADR were mainly allergic reaction (49 cases, 36.84%) and digestive system (48 cases, 36.09%). The results of single factor analysis showed that the age of patients, drug dosage, route of administration, treatment course, the type numbers of drug combination and others were the independent influential factors of ADR. By unconditional Loigstic multiple regression analysis, it was found that the risk of ADR increased with the drug dosage, treatment course, intraverous administration and various drugs use, etc. CONCLUSIONS: It is necessary to pay attention to ADR monitoring, particularly risk factors monitoring of ADR in the elderly patients, strengthen medication guidance to improve medication compliance, take the necessary preventive measures to reduce the incidence of ADR.
期刊: 2016年第27卷第20期
作者: 赵红英,杨国涛 ,王海滨,张惠芳,王文浩,祁景蕊
英文作者: ZHAO Hongying,YANG Guotao,WANG Haibin,ZHANG Huifang,WANG Wenhao,QI Jingrui
关键字: 老年患者;药品不良反应;影响因素
KEYWORDS: Elderly patients; ADR; Influential factors
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