5PSQ-126 AVICENNE as a clinical decision support in thromboprophylaxis: just because the patient’s situation is improving doesn’t mean there’s no drug related problem!

A. Potier, T. Houssemand, P. Barreiros, M. Rodet, E. Divoux, E. Boschetti, MO Duffourc, A. Dony, B. Demoré, E. Dufay
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Abstract

Background and importance Pharmacological thromboprophylaxis reduces the risk of pulmonary embolism and deep vein thrombosis. Enoxaparin once a day is more relevant than unfractionated heparin (UFH) twice a day when glomerular filtration rate is >30 mL/min. The threefold alliance AVICENNE, as a real time clinical decision support system, works on the patient’s data, pharmaceutical algorithms (PA) and Pharmaclass (Keenturtle-F). Aim and objectives To show the value of one AVICENNE algorithm in detecting UFH which was not indicated, and the acceptance by the physician of the switch to enoxaparin proposed by the pharmacist. Material and methods A prospective study was carried out from March 2019 to September 2020 in two health facilities (1600 beds). One algorithm was encoded in Pharmaclass to detect patients with a UFH prescription and two glomerular filtration rate measurements >30 mL/min, the second higher than the first. A guideline detailed the pharmaceutical analysis, from history taking of detected DRPs to reporting of pharmaceutical interventions (PI). The first outcome was the number of detected DRPs and accepted PIs. The second outcome was the number of injections and hospital cost avoided. Results The data were collected over 250 non-consecutive days. First, the pharmacist confirmed 98 DRPs after anamnesis and 96 PIs proposing the switch from UFH and enoxaparin. A total of 41 PIs (43%) were accepted by physicians. The secondary outcome included savings of 353 injections, providing a minimal cost saving of 1700€. Conclusion and relevance AVICENNE optimises patients’ thromboprophylaxis management by triggering a pharmaceutical analysis on DRPs which are complex to detect. What is original is that this study showed that pharmaceutical analysis stayed relevant although the clinical and biological situation of the patient was improving. References and/or acknowledgements Conflict of interest No conflict of interest
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5PSQ-126 AVICENNE作为血栓预防的临床决策支持:仅仅因为患者的情况正在改善并不意味着没有药物相关的问题!
背景和重要性血栓预防药物可降低肺栓塞和深静脉血栓形成的风险。当肾小球滤过率为30 mL/min时,每日1次依诺肝素比每日2次无分离肝素(UFH)更有相关性。AVICENNE作为一个实时临床决策支持系统,基于患者数据、药物算法(PA)和Pharmaclass (keenttle - f)。目的:探讨一种AVICENNE算法在检测未指明的UFH中的价值,以及医师对药师建议改用依诺肝素的接受程度。材料与方法于2019年3月至2020年9月在两家卫生机构(1600张床位)开展前瞻性研究。在Pharmaclass中编码了一种算法来检测具有UFH处方和两种肾小球滤过率测量值bbb30 mL/min的患者,第二种高于第一种。一份指南详细介绍了药物分析,从检测到的drp的历史记录到药物干预(PI)的报告。第一个结果是检测到的drp和接受的pi的数量。第二个结果是注射次数和避免住院费用。结果数据采集时间为非连续250天。首先,药剂师在记忆后确认了98个drp和96个pi,建议从UFH和依诺肝素切换。共有41例(43%)被医生接受。次要结果包括节省353次注射,提供最低成本节省1700欧元。结论及意义AVICENNE通过触发对复杂检测的DRPs的药物分析,优化了患者的血栓预防管理。新颖之处在于,该研究表明,尽管患者的临床和生物学状况有所改善,但药物分析仍具有相关性。参考文献和/或致谢利益冲突无利益冲突
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