Division of Intensive Care, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Scand J Trauma Resusc Emerg Med. 2017 Oct 25;25(1):102. doi: 10.1186/s13049-017-0448-z.
Intensive care scoring systems are widely used in intensive care units (ICU) around the world for case-mix adjustment in research and benchmarking. The aim of our study was to investigate the usefulness of common intensive care scoring systems in predicting mid-term mortality in patients with spontaneous intracerebral hemorrhage (ICH) treated in intensive care units (ICU).
We performed a retrospective observational study including adult patients with spontaneous ICH treated in Finnish ICUs during 2003-2012. We used six-month mortality as the primary outcome of interest. We used logistic regression to customize Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) II and Sequential Organ Failure Assessment (SOFA) for six-month mortality prediction. To assess the usefulness of the scoring systems, we compared their discrimination and calibration with two simpler models consisting of age, Glasgow Coma Scale (GCS) score, and premorbid functional status.
Totally 3218 patients were included. Overall six-month mortality was 48%. APACHE II and SAPS II outperformed SOFA (area under the receiver operator curve [AUC] 0.83 and 0.84, respectively, vs. 0.73) but did not show any benefit over the simpler models in terms of discrimination (AUC 0.84, p > 0.05 for all models). SAPS II showed satisfactory calibration (p = 0.058 in the Hosmer-Lemeshow test), whereas all other models showed poor calibration (p < 0.05).
In this retrospective multi-center study, we found that SAPS II and APACHE II were of no additional prognostic value to a simple model based on only age and GCS score for patients with ICH treated in the ICU. In fact, the major predictive ability of APACHE II and SAPS II comes from their age and GCS score components. SOFA performed significantly poorer than the other models and is not applicable as a prognostic model for ICH patients. All models displayed poor calibration, highlighting the need for improved prognostic models for ICH patients.
The common intensive care scoring systems did not outperform a simpler model based on only age and GCS score. Thus, the use of previous intensive care scoring systems is not warranted in ICH patients.
在全球范围内,重症监护评分系统被广泛应用于重症监护病房(ICU),用于病例组合调整和基准比较。我们的研究目的是探讨常用重症监护评分系统在预测接受重症监护治疗的自发性脑出血(ICH)患者中期死亡率方面的实用性。
我们进行了一项回顾性观察性研究,纳入了 2003 年至 2012 年期间在芬兰 ICU 接受治疗的成年自发性 ICH 患者。我们将 6 个月死亡率作为主要观察终点。我们使用逻辑回归来定制急性生理学和慢性健康评估(APACHE)II、简化急性生理学评分(SAPS)II 和序贯器官衰竭评估(SOFA)以预测 6 个月死亡率。为了评估评分系统的实用性,我们将其与由年龄、格拉斯哥昏迷评分(GCS)和发病前功能状态组成的两个更简单的模型进行了区分和校准。
共纳入 3218 例患者。总体 6 个月死亡率为 48%。APACHE II 和 SAPS II 优于 SOFA(接受者操作特征曲线下面积[AUROC]分别为 0.83 和 0.84,而 0.73),但在区分度方面并未显示出优于更简单模型的优势(所有模型的 AUROC 为 0.84,p>0.05)。SAPS II 显示出良好的校准度(Hosmer-Lemeshow 检验中 p=0.058),而其他所有模型均显示出较差的校准度(p<0.05)。
在这项回顾性多中心研究中,我们发现对于在 ICU 接受治疗的 ICH 患者,SAPS II 和 APACHE II 除了年龄和 GCS 评分之外,并没有为基于年龄和 GCS 评分的简单模型提供额外的预后价值。事实上,APACHE II 和 SAPS II 的主要预测能力来自其年龄和 GCS 评分成分。SOFA 的表现明显差于其他模型,不适合作为 ICH 患者的预后模型。所有模型的校准度均较差,这突显了需要为 ICH 患者开发更好的预后模型。
常用的重症监护评分系统并不优于仅基于年龄和 GCS 评分的简单模型。因此,ICH 患者无需使用以前的重症监护评分系统。