Department of Medicine, New York University Langone Medical Center, New York, NY, USA.
Medical Center Information Technology, New York University Langone Medical Center, New York, NY, USA.
J Am Med Inform Assoc. 2018 May 1;25(5):523-529. doi: 10.1093/jamia/ocx072.
The purpose of this study was to determine whether an electronic health record-based sepsis alert system could improve quality of care and clinical outcomes for patients with sepsis.
We performed a patient-level interrupted time series study of emergency department patients with severe sepsis or septic shock between January 2013 and April 2015. The intervention, introduced in February 2014, was a system of interruptive sepsis alerts triggered by abnormal vital signs or laboratory results. Primary outcomes were length of stay (LOS) and in-hospital mortality; other outcomes included time to first lactate and blood cultures prior to antibiotics. We also assessed sensitivity, positive predictive value (PPV), and clinician response to the alerts.
Mean LOS for patients with sepsis decreased from 10.1 to 8.6 days (P < .001) following alert introduction. In adjusted time series analysis, the intervention was associated with a decreased LOS of 16% (95% CI, 5%-25%; P = .007, with significance of α = 0.006) and no change thereafter (0%; 95% CI, -2%, 2%). The sepsis alert system had no effect on mortality or other clinical or process measures. The intervention had a sensitivity of 80.4% and a PPV of 14.6%.
Alerting based on simple laboratory and vital sign criteria was insufficient to improve sepsis outcomes. Alert fatigue due to the low PPV is likely the primary contributor to these results.
A more sophisticated algorithm for sepsis identification is needed to improve outcomes.
本研究旨在确定基于电子健康记录的脓毒症警报系统是否可以改善脓毒症患者的护理质量和临床结局。
我们对 2013 年 1 月至 2015 年 4 月期间急诊科严重脓毒症或脓毒性休克患者进行了患者水平的中断时间序列研究。干预措施于 2014 年 2 月引入,是一种由异常生命体征或实验室结果触发的中断性脓毒症警报系统。主要结局是住院时间(LOS)和院内死亡率;其他结局包括抗生素前首次乳酸和血液培养的时间。我们还评估了警报的敏感性、阳性预测值(PPV)和临床医生的反应。
脓毒症患者的 LOS 平均值从警报引入前的 10.1 天降至 8.6 天(P <.001)。在调整后的时间序列分析中,干预与 LOS 降低 16%(95%CI,5%-25%;P =.007,α = 0.006)相关,此后无变化(0%;95%CI,-2%,2%)。脓毒症警报系统对死亡率或其他临床或过程指标没有影响。干预的敏感性为 80.4%,PPV 为 14.6%。
基于简单的实验室和生命体征标准的警报不足以改善脓毒症结局。由于低 PPV 导致的警报疲劳很可能是导致这些结果的主要原因。
需要更复杂的脓毒症识别算法来改善结局。