[在登记老年患者的药物不良反应时,在药物警戒系统中进行有效互动的可能性]。

Q4 Medicine
E O Kochkina, N V Verlan, G N Kovalskaya, E V Katamanova, L O Bessonova, A A Konovalova
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引用次数: 0

摘要

近年来,药物治疗并发症是一个重要的医学问题。本研究分析了老年患者的药物不良反应(ADR)数据。研究对象是伊尔库茨克州医疗机构在 2009-2020 年期间收到的不良反应通知卡。纳兰吉奥量表用于评估不良反应与药物之间的因果关系。在 65 岁以上患者的 1021 份不良反应通知中,女性占 2/3(668 份),男性占 353 份(34.6%)。915份(89.6%)通知中记录了存在背景疾病。除了男性慢性阻塞性肺病的发病率较高外(分别为 7.2% 和 3.5%,p<0.05),其他没有性别差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Possibilities of effective interaction in the system pharmacovigilance at registration of medicinal undesirable reactions at patients of the senior age groups.]

In recent years, complications of drug therapy are an important medical problem. Data on adverse drug reactions (ADR) in patients of older age groups were analyzed. The object of the study was notification cards for unwanted reactions received from medical organizations of the Irkutsk region for period 2009-2020 years. The Narangio scale was used to assess the causality between ADR and medicines. Of the 1021 ADR notifications in patients over 65 years of age, 2/3 (668) are presented with ADR notifications in women, 353 (34,6%) in men. The presence of background diseases was registered in 915 notifications (89,6%). There were no gender differences except for a higher incidence of chronic obstructive pulmonary disease in men (7,2 and 3,5% respectively, p<0,05) and diabetes mellitus in women (14 and 3,5% respectively, p<0,05). ADRs for antibacterial agents amounted to 31,8%, drugs for the treatment of cardiovascular diseases - 10,5%, cases of therapeutic inefficiency - 5,1%. The ADR data statement was in line with the recommended form of 76%. The most common filling defect was incomplete patient information. The validity of the Narango causation was high. The deadlines for reporting data were observed in 89,1%. For effective interaction in the pharmacovigilance system, it is necessary in each medical organization to constantly inform about the procedure for pharmacovigilance, types of ADRs, the rules for their detection and the timing of data reporting. The work should be supervised by a trained specialist.

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