Laboratory for Quality Assessment of Geriatric Therapies and Services, Mario Negri Institute for Pharmacological Research, via Giuseppe La Masa, 19, 20156 Milan, Italy.
Eur J Clin Pharmacol. 2011 May;67(5):507-19. doi: 10.1007/s00228-010-0977-0. Epub 2011 Jan 11.
We evaluated the prevalence and factors associated with polypharmacy and investigated the role of polypharmacy as a predictor of length of hospital stay and in-hospital mortality.
Thirty-eight internal medicine wards in Italy participated in the Registro Politerapie SIMI (REPOSI) study during 2008. One thousand three hundred and thirty-two in-patients aged ≥65 years were enrolled. Polypharmacy was defined as the concomitant use of five or more medications. Linear regression analyses were used to evaluate predictors of length of hospital stay and logistic regression models for predictors of in-hospital mortality. Age, sex, Charlson comorbidity index, polypharmacy, and number of in-hospital clinical adverse events (AEs) were used as possible confounders.
The prevalence of polypharmacy was 51.9% at hospital admission and 67.0% at discharge. Age, number of drugs at admission, hypertension, ischemic heart disease, heart failure, and chronic obstructive pulmonary disease were independently associated with polypharmacy at discharge. In multivariate analysis, the occurrence of at least one AE while in hospital was the only predictor of prolonged hospitalization (each new AE prolonged hospital stay by 3.57 days, p < 0.0001). Age [odds ratio (OR) 1.04; 95% confidence interval (CI) 1.01-1.08; p = 0.02), comorbidities (OR 1.18; 95% CI 1.12-1.24; p < 0.0001), and AEs (OR 6.80; 95% CI 3.58-12.9; p < 0.0001) were significantly associated with in-hospital mortality.
Although most elderly in-patients receive polypharmacy, in this study, it was not associated with any hospital outcome. However, AEs were strongly correlated with a longer hospital stay and higher mortality risk.
我们评估了意大利内科病房中老年人药物使用的流行情况及相关因素,探讨了药物使用种类与住院时间和院内死亡率之间的关系。
2008 年,意大利 38 家内科病房参与了 SIMI 注册多药治疗研究(REPOSI)。共纳入 1332 名年龄≥65 岁的住院患者。药物使用种类定义为同时使用 5 种或 5 种以上药物。采用线性回归分析评估住院时间的预测因素,采用 logistic 回归模型评估院内死亡率的预测因素。年龄、性别、Charlson 合并症指数、药物使用种类和住院期间临床不良事件(AE)的数量被用作可能的混杂因素。
入院时药物使用种类的比例为 51.9%,出院时为 67.0%。年龄、入院时药物种类数量、高血压、缺血性心脏病、心力衰竭和慢性阻塞性肺疾病与出院时药物使用种类相关。多变量分析显示,住院期间至少发生一次 AE 是延长住院时间的唯一预测因素(每次新发生 AE 使住院时间延长 3.57 天,p<0.0001)。年龄[比值比(OR)1.04;95%置信区间(CI)1.01-1.08;p=0.02]、合并症(OR 1.18;95% CI 1.12-1.24;p<0.0001)和 AE(OR 6.80;95% CI 3.58-12.9;p<0.0001)与院内死亡率显著相关。
尽管大多数老年住院患者接受了多药治疗,但在本研究中,它与任何医院结局均无关。然而,AE 与住院时间延长和更高的死亡率风险密切相关。