Department of Medicine E, Beilinson Hospital, Rabin Medical Center, Petah-Tiqva, Israel.
Clin Microbiol Infect. 2010 Dec;16(12):1736-9. doi: 10.1111/j.1469-0691.2010.03330.x.
TREAT is a computerized decision support system aimed at improving empirical antibiotic treatment of inpatients with suspected bacterial infections. It contains a model that balances, for each antibiotic choice (including 'no antibiotics'), expected benefit and expected costs. The main benefit afforded by appropriate, empirical, early antibiotic treatment in moderate to severe infections is a better chance of survival. Each antibiotic drug was consigned three cost components: cost of the drug and administration; cost of side effects; and costs of future resistance. 'No treatment' incurs no costs. The model worked well for decision support. Its analysis showed, yet again, that for moderate to severe infections, a model that does not include costs of resistance to future patients will always return maximum antibiotic treatment. Two major moral decisions are hidden in the model: how to take into account the limited life-expectancy and limited quality of life of old or very sick patients; and how to assign a value for a life-year of a future, unnamed patient vs. the present, individual patient.
TREAT 是一个计算机化的决策支持系统,旨在改善疑似细菌感染住院患者的经验性抗生素治疗。它包含一个模型,该模型平衡了每种抗生素选择(包括“无抗生素”)的预期收益和预期成本。在中度至重度感染中,适当的经验性早期抗生素治疗提供的主要益处是增加生存机会。每种抗生素药物都有三个成本组成部分:药物和管理费用;副作用成本;以及未来耐药性的成本。“无治疗”不产生任何成本。该模型非常适合决策支持。它的分析再次表明,对于中度至重度感染,不包括对未来患者的耐药性成本的模型将始终返回最大的抗生素治疗。模型中隐藏着两个主要的道德决策:如何考虑老年或非常病重患者的有限预期寿命和有限生活质量;以及如何为未来未命名患者的一个生命年与当前个体患者的生命年赋值。