Department of Computing and Information Systems, The University of Melbourne, Melbourne, Victoria, Australia.
Emerg Med Australas. 2013 Apr;25(2):132-9. doi: 10.1111/1742-6723.12040. Epub 2013 Jan 11.
To estimate the ability of commonly measured laboratory variables to predict imminent (within the same or next calendar day) medical emergency team (MET) calls, ICU admission or death.
We performed a retrospective observational study of ED patients. We estimated the ability of each laboratory variable or combination of variables together with patient age to predict imminent MET calls, ICU admission or death. We externally validated our findings in patients from a different hospital.
We studied 160 341 batches in 71 453 ED patients (average age: 59.9 ± 22.1 years) for a total of 1 million individual measurements. There were 341 MET calls, 160 ICU admissions from the wards and 858 deaths. Multivariable modelling achieved a receiver operating characteristic area under the curve (ROC-AUC) of 0.69 (95% CI 0.63-0.74) for imminent MET call with prediction occurring a mean of 11.9 h before the call. Additionally, it achieved a ROC-AUC of 0.82 (95% CI 0.73-0.87) for imminent ICU admission. Finally, it achieved a ROC-AUC of 0.90 (95% CI 0.87-0.91) for imminent death. When tested using an additional 37 367 batches from a cohort of 21 430 ED patients from a second teaching hospital, the multivariate model achieved a ROC-AUC of 0.70 (95% CI 0.66-0.73) for imminent MET call, a ROC-AUC of 0.84 (95% CI 0.78-0.90) for imminent ICU admission. Finally, it achieved a ROC-AUC of 0.89 (95% CI 0.86-0.91) for imminent death.
Commonly performed laboratory tests can help predict imminent MET calls, ICU admission or death in ED patients. Prospective investigations of the clinical utility of such predictions appear desirable.
评估常用实验室变量预测即将发生(同一或下一个日历日内)医疗应急小组(MET)呼叫、入住 ICU 或死亡的能力。
我们对 ED 患者进行了回顾性观察性研究。我们估计了每个实验室变量或变量组合与患者年龄一起预测即将发生的 MET 呼叫、入住 ICU 或死亡的能力。我们在来自另一家医院的患者中对研究结果进行了外部验证。
我们研究了 71453 例 ED 患者的 160341 批次(平均年龄:59.9±22.1 岁),共进行了 100 万次个体测量。共发生 341 次 MET 呼叫、160 次从病房转入 ICU 以及 858 例死亡。多变量建模预测即将发生的 MET 呼叫的接受者操作特征曲线(ROC-AUC)为 0.69(95%CI 0.63-0.74),预测发生在呼叫前平均 11.9 小时。此外,对于即将发生的 ICU 入院,ROC-AUC 为 0.82(95%CI 0.73-0.87)。最后,对于即将发生的死亡,ROC-AUC 为 0.90(95%CI 0.87-0.91)。当使用来自第二家教学医院的 21430 例 ED 患者队列中的另外 37367 批数据进行测试时,多变量模型预测即将发生的 MET 呼叫的 ROC-AUC 为 0.70(95%CI 0.66-0.73),预测即将发生的 ICU 入院的 ROC-AUC 为 0.84(95%CI 0.78-0.90)。最后,预测即将发生的死亡的 ROC-AUC 为 0.89(95%CI 0.86-0.91)。
常用的实验室检查可以帮助预测 ED 患者即将发生的 MET 呼叫、入住 ICU 或死亡。对这种预测的临床应用价值进行前瞻性研究似乎是可取的。