Faculty of Pharmacy, University of Lisbon, Lisbon, Portugal.
Faculty of Pharmacy, University of Lisbon, Lisbon, Portugal.
Diabetes Res Clin Pract. 2019 Sep;155:107804. doi: 10.1016/j.diabres.2019.107804. Epub 2019 Jul 31.
To summarize the existing literature concerning the association between polypharmacy and adverse health consequences in elderly patients with type 2 diabetes mellitus.
We searched four literature databases (PubMed/Medline, ScienceDirect and Web of Science) through April 2019. We included all studies that addressed the association between polypharmacy and all-cause of mortality, glycemic control, macrovacular complications, hospitalization, potentially inappropriate medicines, drug-drug interactions and fall. A statistical program OpenMeta [Analyst] was used. The pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated with a random effects model. I statistics was performed to assess heterogeneity.
Out of sixteen studies, three studies were used for meta-analysis. A statistically significant association was found between polypharmacy and all-cause mortality (OR = 1.622, 95% CI (1.606-1.637) P < 0.001), and myocardial infarction (OR = 1.962, 95% CI (1.942-1.982), P < 0.001. Non-statistically significant association with evidence of moderate heterogeneity was found between polypharmacy and stroke (OR = 1.335; 95% CI (0.532-3.346), P = 0.538, I = 45%), and hospitalization (OR = 1.723; 95% CI (0.983-3.021), P = 0.057, I = 57%).
Pooled risk estimates reveal that polypharmacy is associated with increased all-cause mortality, macrovacular complications and hospitalization using categorical definitions. These findings assert the need for interventions that optimize the balance of benefits and harms in medicines prescribing.
总结现有的关于 2 型糖尿病老年患者药物使用过多与不良健康后果之间关联的文献。
我们通过 2019 年 4 月检索了四个文献数据库(PubMed/Medline、ScienceDirect 和 Web of Science)。我们纳入了所有探讨药物使用过多与全因死亡率、血糖控制、大血管并发症、住院、潜在不适当药物、药物相互作用和跌倒之间关联的研究。使用统计程序 OpenMeta [Analyst] 进行分析。使用随机效应模型计算合并的比值比(OR)和 95%置信区间(CI)。采用 I ² 统计量评估异质性。
在 16 项研究中,有 3 项研究用于荟萃分析。药物使用过多与全因死亡率(OR=1.622,95%CI(1.606-1.637)P<0.001)和心肌梗死(OR=1.962,95%CI(1.942-1.982)P<0.001)显著相关。药物使用过多与卒中(OR=1.335;95%CI(0.532-3.346)P=0.538,I²=45%)和住院(OR=1.723;95%CI(0.983-3.021)P=0.057,I²=57%)之间存在非统计学显著相关性,但存在中度异质性。
汇总风险估计表明,使用分类定义,药物使用过多与全因死亡率、大血管并发症和住院相关。这些发现表明需要采取干预措施,以优化药物处方中获益与危害之间的平衡。