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A Pharmaceutical Dispensing-based Index of Mortality Risk From Long-term Conditions Performed as well as Hospital Record-based Indices

机译:基于药物分配的死亡率危险指数,从长期的条件以及基于医院的基于记录的指数

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摘要

Objective: The objective of this study was to develop and validate a mortality risk index from multimorbidity using pharmaceutical dispensing data. Design: The P3 (Pharmaceutical Prescribing Profile) mortality risk index was created (development n=2,331,645) using pharmaceutical dispensing records for the last 12 months for long-term conditions. beta coefficients from a Cox proportional hazards model for mortality provided component scores for 30 medication categories. Index validity was tested (validation n=1,000,166) for risk of mortality and overnight hospitalization over 1 year, and predictive ability calculated for the P3 index relative to the hospital admission-based Charlson and M3 indices (all models adjusted for age/sex). Setting: This study was carried out in the setting of routine health data sources for the New Zealand adult general population, for an index date of January 1, 2012. Results: The P3 index performed equivalently to Charlson for 1-year mortality risk [c-statistics=0.920 and 0.921, respectively; difference=-0.001; 95% confidence interval (CI): -0.004, 0.001]; P3 outperformed Charlson for overnight hospitalization risk (c-statistics=0.712 and 0.682; difference=0.029; 95% CI: 0.028, 0.031). Adding P3 to a model already containing the M3 index led to only marginal improvement for mortality (difference in c-statistics=0.004; 95% CI: 0.002, 0.005) but some improvement for hospitalization risk (difference in c-statistics=0.020; 95% CI: 0.018, 0.021). Conclusions: The P3 index provides an appropriate alternative to measures like the Charlson and M3 index when analysts only have access to pharmaceutical dispensing data for determining multimorbidity. The P3 index had a performance advantage over Charlson when analyzing risk for overnight hospital admissions.
机译:目的:本研究的目的是使用药物分配数据开发和验证从多重无水性的死亡率风险指数。设计:使用药物分配记录在过去12个月内创建P3(药物规定型材)死亡率风险指数(开发N = 2,331,645),以进行长期条件。来自Cox比例危害的β系数用于死亡率的模型为30种药物类别提供了组分分数。测试索引有效性(验证n = 1,000,166),有超过1年的死亡率和过夜住院风险,以及针对P3指数相对于基于医院的Charlson和M3指数计算的预测能力(所有调整年龄/性别的型号)。环境:本研究是在2012年1月1日的新西兰成年人口的常规健康数据来源的环境中进行的。结果:P3指数等效地对夏隆森进行了1年的死亡率风险[C - 分别= 0.920和0.921;差异= -0.001; 95%置信区间(CI):-0.004,0.001]; P3超越了查理的过夜住院风险(C统计= 0.712和0.682;差异= 0.029; 95%CI:0.028,0.031)。将P3添加到已经包含M3索引的模型,仅为死亡率的边际改善(C统计差异= 0.004; 95%CI:0.002,0.005),但住院风险的一些改善(C统计差异= 0.020; 95 %CI:0.018,0.021)。结论:当分析师只能获得用于确定多重药物的药物分配数据时,P3指数提供了诸如Charlson和M3指数的措施的适当替代方案。 P3指数在分析夜间医院入院风险时,对Charlson进行了性能优势。

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