Westphal Glauco Adrieno, Pereira Aline Braz, Fachin Silvia Maria, Sperotto Geonice, Gonçalves Maurício, Albino Lucimeri, Bittencourt Rodolfo, Franzini Vanessa de Rossi, Koenig Álvaro
Centro Hospitalar Unimed - Joinville (SC), Brasil.
Rev Bras Ter Intensiva. 2018 Oct-Dec;30(4):414-422. doi: 10.5935/0103-507X.20180059. Epub 2018 Dec 13.
To describe the improvements of an early warning system for the identification of septic patients on the time to diagnosis, antibiotic delivery, and mortality.
This was an observational cohort study that describes the successive improvements made over a period of 10 years using an early warning system to detect sepsis, including systematic active manual surveillance, electronic alerts via a telephonist, and alerts sent directly to the mobile devices of nurses. For all periods, after an alert was triggered, early treatment was instituted according to the institutional sepsis guidelines.
In total, 637 patients with sepsis were detected over the study period. The median triage-to-diagnosis time was reduced from 19:20 (9:10 - 38:15) hours to 12:40 (2:50 - 23:45) hours when the manual surveillance method was used (p = 0.14), to 2:10 (1:25 - 2:20) hours when the alert was sent automatically to the hospital telephone service (p = 0.014), and to 1:00 (0:30 - 1:10) hour when the alert was sent directly to the nurse's mobile phone (p = 0.016). The diagnosis-to-antibiotic time was reduced to 1:00 (0:55 - 1:30) hours when the alert was sent to the telephonist and to 0:45 (0:30 - 1:00) minutes when the alert was sent directly to the nurse's mobile phone (p = 0.02), with the maintenance of similar values over the following years. There was no difference in the time of treatment between survivors and non-survivors.
Electronic systems help reduce the triage-to-diagnosis time and diagnosis-to-antibiotic time in patients with sepsis.
描述一种用于识别脓毒症患者的早期预警系统在诊断时间、抗生素使用时间和死亡率方面的改善情况。
这是一项观察性队列研究,描述了在10年期间使用早期预警系统检测脓毒症所做的一系列改进,包括系统的主动人工监测、通过话务员发出的电子警报以及直接发送到护士移动设备的警报。在所有时间段,警报触发后,根据机构脓毒症指南进行早期治疗。
在研究期间共检测到637例脓毒症患者。使用人工监测方法时,分诊至诊断的中位时间从19:20(9:10 - 38:15)小时降至12:40(2:50 - 23:45)小时(p = 0.14),自动向医院电话服务发送警报时降至2:10(1:25 - 2:20)小时(p = 0.014),直接向护士手机发送警报时降至1:00(0:30 - 1:10)小时(p = 0.016)。向话务员发送警报时,诊断至使用抗生素的时间降至1:00(0:55 - 1:30)小时,直接向护士手机发送警报时降至0:45(0:30 - 1:00)分钟(p = 0.02),在随后几年保持相似数值。幸存者和非幸存者的治疗时间没有差异。
电子系统有助于缩短脓毒症患者的分诊至诊断时间和诊断至使用抗生素的时间。