Brown Joshua D, Hutchison Lisa C, Li Chenghui, Painter Jacob T, Martin Bradley C
Division of Pharmaceutical Evaluation and Policy, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Institute for Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Kentucky, Lexington, Kentucky.
J Am Geriatr Soc. 2016 Jan;64(1):22-30. doi: 10.1111/jgs.13884.
To compare the predictive validity of the 2003 Beers, 2012 American Geriatrics Society (AGS) Beers, and Screening Tool of Older Persons' potentially inappropriate Prescriptions (STOPP) criteria.
Retrospective cohort.
Managed care administrative claims data from 2006 to 2009.
Commercially insured persons aged 65 and older in the United States (N=174,275).
Association between adverse drug events (ADEs), emergency department (ED) visits, and hospitalization outcomes and inappropriate medication use using time-varying Cox proportional hazard models. Measures of model discrimination (c-index) and hazard ratios (HRs) were calculated to compare unadjusted and adjusted models for associations.
The prevalence of inappropriate prescribing was 34.1% for the 2012 AGS Beers criteria, 32.2% for the 2003 Beers criteria, and 27.6% for the STOPP criteria. Each set of criteria modestly discriminated ADEs in unadjusted analyses (STOPP criteria: hazard ratio (HR)=2.89, 95% confidence interval (CI)=2.68-3.12, C-index=0.607; 2012 AGS Beers criteria: HR=2.51, 95% CI=2.33-2.70, C-index=0.603; 2003 Beers criteria: HR=2.65, 95% CI=2.46-2.85, C-index=0.605). Similar results were observed for ED visits and hospitalizations. The c-indices increased to between 0.65 and 0.70 in adjusted analyses. The kappa for agreement between criteria was 0.80 for the 2003 and 2012 AGS Beers criteria, 0.58 for the 2012 AGS Beers and STOPP criteria, and 0.59 for the 2003 Beers and STOPP criteria. For the three outcomes, the 2012 AGS Beers criteria had the highest sensitivity (61.2-71.2%) and the lowest specificity (41.2-70.7%), and the STOPP criteria had the lowest sensitivity (53.8-64.7%) but the highest specificity (47.8-78.1%).
All three criteria were modestly prognostic for ADEs, EDs, and hospitalizations, with the STOPP criteria slightly outperforming both Beers criteria. With low sensitivity, low specificity, and low agreement between the criteria, they can be used in a complementary fashion to enhance sensitivity in detecting ADEs.
比较2003年版《Beers标准》、2012年美国老年医学会(AGS)《Beers标准》和老年人潜在不适当处方筛查工具(STOPP)标准的预测效度。
回顾性队列研究。
2006年至2009年管理式医疗行政索赔数据。
美国65岁及以上的商业保险参保人员(N = 174,275)。
使用时变Cox比例风险模型,分析药物不良事件(ADEs)、急诊就诊和住院结局与不适当用药之间的关联。计算模型判别度指标(c指数)和风险比(HRs),以比较未调整和调整后的关联模型。
2012年AGS《Beers标准》的不适当处方患病率为34.1%,2003年《Beers标准》为32.2%,STOPP标准为27.6%。在未调整分析中,每组标准对ADEs的判别能力一般(STOPP标准:风险比(HR)= 2.89,95%置信区间(CI)= 2.68 - 3.12,c指数 = 0.607;2012年AGS《Beers标准》:HR = 2.51,95% CI = 2.33 - 2.70,c指数 = 0.603;2003年《Beers标准》:HR = 2.65,95% CI = 2.46 - 2.85,c指数 = 0.605)。急诊就诊和住院情况也观察到类似结果。调整分析中,c指数增至0.65至0.70之间。2003年和2012年AGS《Beers标准》之间的标准一致性kappa值为0.80,2012年AGS《Beers标准》与STOPP标准之间为0.58,2003年《Beers标准》与STOPP标准之间为0.59。对于这三种结局,2012年AGS《Beers标准》的敏感性最高(61.2 - 71.2%),特异性最低(41.2 - 70.7%),STOPP标准的敏感性最低(53.8 - 64.7%),但特异性最高(47.8 - 78.1%)。
所有这三个标准对ADEs、急诊就诊和住院情况的预测能力一般,STOPP标准略优于两个《Beers标准》。由于敏感性低、特异性低且标准之间一致性差,它们可互补使用以提高检测ADEs的敏感性。