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用于检测住院患者药物不良反应的实验室警报系统的效用:低钠血症和横纹肌溶解症。

Utility of a Laboratory Alert System for Detecting Adverse Drug Reactions in Hospitalised Patients: Hyponatremia and Rhabdomyolysis.

作者信息

Valdés-Garicano Mónica, Mejía-Abril Gina, Campodónico Diana, Parra-Garcés Raúl, Abad-Santos Francisco

机构信息

Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Facultad de Medicina, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain.

Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain.

出版信息

Front Pharmacol. 2022 Jul 6;13:937045. doi: 10.3389/fphar.2022.937045. eCollection 2022.

DOI:10.3389/fphar.2022.937045
PMID:35873584
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9299062/
Abstract

-Adverse drug reactions (ADRs) are a public health issue, due to their great impact on morbidity, mortality, and economic cost. The use of automatized laboratory alerts could simplify greatly its detection. -We aimed to evaluate the performance of a laboratory alerts system as a method for detecting ADRs, using hyponatremia and rhabdomyolysis as case studies. -This is a retrospective observational study conducted in 2019 during a 6-month period, including patients hospitalized at the Hospital Universitario de La Princesa. Patients were identified using altered laboratory parameters corresponding to the two signals: "rhabdomyolysis" (creatine phosphokinase >5 times the upper limit of normality (ULN): >1000 U/L for men and >900 U/L for women) and "hyponatremia" (<116 mEq/L) were detected. In cases where ADR was suspected, causality assessment was performed using the algorithm of the Spanish Pharmacovigilance System (SEFV). -During the study period, 180 patients were studied for the "rhabdomyolysis" signal, 6 of them were found to have an ADR (3.3%). The sensitivity of the test was 60%, specificity 97%, and positive predictive value 41%. 28 patients were studied for the "hyponatremia" signal, and 11 patients were found to have an ADR (39.3%), with a sensitivity of 76.9%, a specificity of 93.3%, and a positive predictive value of 88.2%. We found no relationship between altered laboratory values and risk of ADR in any of the cases studied. -A pharmacovigilance program based on automatized laboratory signals could be an effective method to detect ADR. The study of the "hyponatremia" laboratory alert is more efficient than "rhabdomyolysis". The evaluation of the hyponatremia alert allows the identification of 12 times more ADRs than the rhabdomyolysis alert, which means less time spent per alert evaluated to identify an ADR.

摘要

-药物不良反应(ADR)是一个公共卫生问题,因为它们对发病率、死亡率和经济成本有重大影响。使用自动化实验室警报可以大大简化其检测。

-我们旨在以低钠血症和横纹肌溶解症为例,评估实验室警报系统作为检测ADR方法的性能。

-这是一项回顾性观察研究,于2019年进行,为期6个月,纳入了拉公主大学医院住院的患者。通过对应于两个信号的实验室参数改变来识别患者:检测到“横纹肌溶解症”(肌酸磷酸激酶>正常上限(ULN)的5倍:男性>1000 U/L,女性>900 U/L)和“低钠血症”(<116 mEq/L)。在怀疑发生ADR的情况下,使用西班牙药物警戒系统(SEFV)的算法进行因果关系评估。

-在研究期间,对180名患者进行了“横纹肌溶解症”信号研究,其中6人被发现发生了ADR(3.3%)。该检测的灵敏度为60%,特异性为97%,阳性预测值为41%。对28名患者进行了“低钠血症”信号研究,11名患者被发现发生了ADR(39.3%),灵敏度为76.9%,特异性为93.3%,阳性预测值为88.2%。在任何研究的病例中,我们都未发现实验室值改变与ADR风险之间存在关联。

-基于自动化实验室信号的药物警戒计划可能是检测ADR的有效方法。对“低钠血症”实验室警报的研究比“横纹肌溶解症”更有效。低钠血症警报的评估能够识别出比横纹肌溶解症警报多12倍的ADR,这意味着评估每个警报以识别ADR所花费的时间更少。

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Utility of a Laboratory Alert System for Detecting Adverse Drug Reactions in Hospitalised Patients: Hyponatremia and Rhabdomyolysis.用于检测住院患者药物不良反应的实验室警报系统的效用:低钠血症和横纹肌溶解症。
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本文引用的文献

1
Severe Hyponatremia Is Often Drug Induced: 10-Year Results of a Prospective Pharmacovigilance Program.严重低钠血症常由药物引起:前瞻性药物警戒计划 10 年结果。
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Rhabdomyolysis after co-administration of a statin and fusidic acid: an analysis of the literature and of the WHO database of adverse drug reactions.他汀类药物与夫西地酸联合使用后横纹肌溶解症:文献分析和世界卫生组织药物不良反应数据库分析。
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[Causality assessment in reports on adverse drug reactions. Algorithm of Spanish pharmacovigilance system].[药品不良反应报告中的因果关系评估。西班牙药物警戒系统算法]
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Detection of pharmacovigilance-related adverse events using electronic health records and automated methods.利用电子健康记录和自动化方法检测药物警戒相关不良事件。
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