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Validation of a score to identify inpatients at risk of a drug-related problem during a 4-year period

机译:验证分数以识别在4年期间有药物相关问题风险的住院患者

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Objective Drug-related problems (DRP) produce high morbidity and mortality. It is therefore essential to identify patients at higher risk of these events. This study aimed to validate a DRP risk score in a large number of inpatients. Material and methods Validation of a previously designed score to identify inpatients at risk of experiencing at least one DRP in a tertiary university hospital from 2010 to 2013. DRP were detected by a pharmacy warning system integrated in the electronic medical record. The score included the following variables associated with a higher risk of DRP: prescription of a higher number of drugs, greater comorbidity, advanced age, specific ATC groups and certain major diagnostic categories. Results The study included a total of 52,987 admissions; of these, at least one DRP occurred in 14.9%. After validation of the score (period range, 2010–2013: 0.746–0.764), the area under the curve (AUC) was 0.751 (95% CI: 0.745–0.756). Conclusions This value is higher than those reported in other studies describing validation of risk scores. The score showed good capacity to identify those patients at higher risk of DRP in a much larger sample of inpatients than previously described in the literature. This tool allows optimization of drug therapy monitoring in admitted patients.
机译:客观药物相关问题(DRP)导致较高的发病率和死亡率。因此,至关重要的是要确定发生这些事件的风险较高的患者。这项研究旨在验证大量住院患者的DRP风险评分。材料和方法对先前设计的分数进行验证,以鉴定在2010年至2013年期间三级大学医院中有遭受至少一种DRP风险的住院患者。DRP通过集成在电子病历中的药房警告系统进行检测。该分数包括与DRP较高风险相关的以下变量:处方数量更多的药物,更大的合并症,高龄,特定的ATC组和某些主要的诊断类别。结果该研究共纳入52,987例患者。其中,至少一种DRP发生率为14.9%。验证分数后(2010-2013年,0.746-0.764),曲线下面积(AUC)为0.751(95%CI:0.745-0.756)。结论该值高于其他描述风险评分验证的研究报告的值。该分数显示出了较高的识别能力,可以识别比以前文献中描述的更大的住院患者中具有较高DRP风险的患者。该工具可优化入院患者的药物治疗监测。

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