Department of Pharmacy Services, St. Joseph Mercy Health System, Ann Arbor, MI.
Department of Internal Medicine, Division of Infectious Diseases, St. Joseph Mercy Health System, Ann Arbor, MI.
Am J Health Syst Pharm. 2019 Aug 1;76(16):1219-1225. doi: 10.1093/ajhp/zxz129.
Results of a study incorporating real-world results into a predictive model to assess the cost-effectiveness of procalcitonin (PCT)-guided antibiotic use in intensive care unit patients with sepsis are reported.
A single-center, retrospective cross-sectional study was conducted to determine whether reductions in antibiotic therapy duration and other care improvements resulting from PCT testing and use of an associated treatment pathway offset the costs of PCT testing. Selected base-case cost outcomes in adults with sepsis admitted to a medical intensive care unit (MICU) were assessed in preintervention and postintervention cohorts using a decision analytic model. Cost-minimization and cost-utility analyses were performed from the hospital perspective with a 1-year time horizon. Secondary and univariate sensitivity analyses tested a variety of clinically relevant scenarios and the robustness of the model.
Base-case modeling predicted that use of a PCT-guided treatment algorithm would results in hospital cost savings of $45 per patient and result in a gain of 0.0001 quality-adjusted life-year. After exclusion of patients in the postintervention cohort for PCT test ordering outside of institutional guidelines, the mean inpatient antibiotic therapy duration was significantly reduced in the postintervention group relative to the preintervention group (6.2 days versus 4.9 days, p = 0.04) after adjustment for patient sex and age, Charlson Comorbidity Index score, study period, vasopressor use, and ventilator use. Total annual hospital cost savings of $4,840 were predicted.
Real-world implementation of PCT-guided antibiotic use may have improved patients' quality of life while decreasing hospital costs in MICU patients with undifferentiated sepsis.
报告一项研究的结果,该研究将真实世界的数据纳入预测模型,以评估降钙素原(PCT)指导脓毒症重症监护病房患者抗生素使用的成本效益。
进行了一项单中心、回顾性、横断面研究,以确定 PCT 检测和使用相关治疗途径所带来的抗生素治疗时间缩短和其他护理改善是否能抵消 PCT 检测的成本。使用决策分析模型,在干预前和干预后队列中评估了成人脓毒症患者入住内科重症监护病房(MICU)的选定基础病例成本结果。从医院角度进行成本最小化和成本效益分析,时间范围为 1 年。次要和单变量敏感性分析测试了各种临床相关情况和模型的稳健性。
基础病例模型预测,使用 PCT 指导的治疗算法将使每位患者的医院成本节省 45 美元,并获得 0.0001 个质量调整生命年的收益。排除干预后队列中不符合机构指南的 PCT 检测订单的患者后,在调整患者性别和年龄、Charlson 合并症指数评分、研究期间、血管加压素使用和呼吸机使用后,干预组患者的住院抗生素治疗时间明显短于干预前组(6.2 天对 4.9 天,p = 0.04)。预测每年可节省医院总成本 4840 美元。
在 MICU 患有未分化脓毒症的患者中,实施基于 PCT 的抗生素使用的真实世界可能会提高患者的生活质量,同时降低医院成本。