Cull John, Brevetta Robert, Gerac Jeff, Kothari Shanu, Blackhurst Dawn
All authors: Prisma Health, Greenville, SC.
Crit Care Explor. 2023 Jun 30;5(7):e0941. doi: 10.1097/CCE.0000000000000941. eCollection 2023 Jul.
Earlier treatment of sepsis leads to decreased mortality. Epic is an electronic medical record providing a predictive alert system for sepsis, the Epic Sepsis Model (ESM) Inpatient Predictive Analytic Tool. External validation of this system is lacking. This study aims to evaluate the ESM as a sepsis screening tool and determine whether an association exists between ESM alert system implementation and subsequent sepsis-related mortality.
Before-and-after study comparing baseline and intervention period.
Urban 746-bed academic level 1 trauma center.
Adult acute care inpatients discharged between January 12, 2018, and July 31, 2019.
During the before period, ESM was turned on in the background, but nurses and providers were not alerted of results. The system was then activated to alert providers of scores greater than or equal to 5, a set point determined using receiver operating characteristic curve analysis (area under the curve, 0.834; < 0.001).
Primary outcome was mortality during hospitalization; secondary outcomes were sepsis order set utilization, length of stay, and timing of administration of sepsis-appropriate antibiotics. Of the 11,512 inpatient encounters assessed by ESM, 10.2% (1,171) had sepsis based on diagnosis codes. As a screening test, the ESM had sensitivity, specificity, positive predictive value, and negative predictive value rates of 86.0%, 80.8%, 33.8%, and 98.11%, respectively. After ESM implementation, unadjusted mortality rates in patients with ESM score greater than or equal to 5 and who had not yet received sepsis-appropriate antibiotics declined from 24.3% to 15.9%; multivariable analysis yielded an odds ratio of sepsis-related mortality (95% CI) of 0.56 (0.39-0.80).
In this single-center before-and-after study, utilization of the ESM score as a screening test was associated with a 44% reduction in the odds of sepsis-related mortality. Due to wide utilization of Epic, this is a potentially promising tool to improve sepsis mortality in the United States. This study is hypothesis generating, and further work with more rigorous study design is needed.
早期治疗脓毒症可降低死亡率。Epic是一种电子病历,提供脓毒症预测警报系统,即Epic脓毒症模型(ESM)住院患者预测分析工具。该系统缺乏外部验证。本研究旨在评估ESM作为脓毒症筛查工具的效果,并确定ESM警报系统的实施与随后的脓毒症相关死亡率之间是否存在关联。
前后对照研究,比较基线期和干预期。
拥有746张床位的城市一级学术创伤中心。
2018年1月12日至2019年7月31日期间出院的成年急性护理住院患者。
在基线期,ESM在后台开启,但护士和医护人员未收到结果警报。然后该系统被激活,当分数大于或等于5时向医护人员发出警报,该设定点是使用受试者工作特征曲线分析确定的(曲线下面积,0.834;<0.001)。
主要结局是住院期间的死亡率;次要结局是脓毒症医嘱集的使用、住院时间以及使用合适的脓毒症抗生素的时间。在ESM评估的11512例住院病例中,根据诊断代码,10.2%(1171例)患有脓毒症。作为一种筛查测试,ESM的敏感性、特异性、阳性预测值和阴性预测值分别为86.0%、80.8%、33.8%和98.11%。在实施ESM后,ESM评分大于或等于5且尚未接受合适的脓毒症抗生素治疗的患者的未调整死亡率从24.3%降至15.9%;多变量分析得出脓毒症相关死亡率的比值比(95%CI)为0.56(0.39 - 0.80)。
在这项单中心前后对照研究中,将ESM评分用作筛查测试与脓毒症相关死亡率的比值降低44%相关。由于Epic的广泛应用,这是一种在美国可能有希望改善脓毒症死亡率的工具。本研究只是提出假设,需要进行更严格研究设计的进一步工作。