Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, 2-124E Clinical Sciences Building, 8440-112 ST NW, Edmonton, AB, T6G 2B7, Canada.
Alberta Health Services Critical Care Strategic Clinical Network, Alberta Health Services, Edmonton, AB, Canada.
Intensive Care Med. 2018 Dec;44(12):2134-2144. doi: 10.1007/s00134-018-5440-1. Epub 2018 Nov 12.
Persistent critical illness has been described as a subtype of chronic critical illness, characterized as a transition after ICU admission where primary diagnosis and illness acuity are no better at predicting outcome than pre-hospital characteristics. Herein we describe the occurrence and outcomes associated with persistent critical illness in a large Canadian health region.
In this multi-center observational cohort study, all patients aged older than 14 years admitted to 12 ICUs in Alberta, Canada, between June 2012 and December 2014 were included. Primary outcome was in-hospital mortality. Predictors at ICU admission were separated into: (1) antecedent characteristics component (e.g., demographics, chronic health component of the APACHE II score, comorbid conditions); and (2) acute illness component (e.g., APACHE II score at admission, SOFA score, primary diagnostic category, surgical status, acute organ support). Using multiple statistical methods and randomly splitting the cohort into development and validation samples for risk scoring using logistic regression, we examined mortality prediction of each of these components to characterize the timing of transition to persistent critical illness.
We included 17,783 patients with a median (IQR) age 61 years (49-71), 62% were male, and mean APACHE II score was 19.0 (7.9). In-hospital mortality was 16.8%. Among patients alive and in ICU, the acute illness component, which accurately predicted outcome at the time of admission [area under the receiver operating characteristics curve (AUC) 0.861; 95% CI 0.860-0.862], progressively lost predictive ability and was no longer more predictive than antecedent characteristics after 9 days. This transition defined the onset of persistent critical illness and comprised 16.1% (n = 2856) of the cohort. Transition ranged between 5 and 21 days across subgroups. In-hospital mortality was greater for those with persistent critical illness [23.9% vs. 15.5%, odds ratio (OR) 1.54; 95% CI 1.43-1.67, p < 0.001]. Persistently critically ill patients accounted for 54.5% of 97844 ICU bed-days and 36.3% of 420119 hospital bed-days, respectively.
Persistent critical illness occurred in one in six patients admitted to Alberta ICUs and portended greater risk of death, prolonged ICU and hospital stay, and disproportionate use of health resources compared to patients without persistent critical illness.
持续性危重病已被描述为慢性危重病的一种亚型,其特征为患者在入住 ICU 后发生的一种转变,此时主要诊断和疾病严重程度预测结局的能力不如入院前的特征。在此,我们描述了在加拿大一个大的卫生区域中持续性危重病的发生情况和结局。
在这项多中心观察性队列研究中,纳入了 2012 年 6 月至 2014 年 12 月期间在加拿大艾伯塔省的 12 个 ICU 住院的年龄大于 14 岁的所有患者。主要结局为院内死亡率。入住 ICU 时的预测因素分为:(1)既往特征成分(例如,人口统计学特征、急性生理与慢性健康状况评分 II 的慢性健康成分、合并症);和(2)急性疾病成分(例如,入住 ICU 时的急性生理评分 II、序贯器官衰竭评估评分、主要诊断类别、手术状态、急性器官支持)。我们使用多种统计方法和将队列随机分为开发和验证样本,通过逻辑回归进行风险评分,以确定每个成分预测死亡率的能力,从而描述向持续性危重病转变的时间。
我们纳入了 17783 例患者,中位(IQR)年龄为 61 岁(49-71),62%为男性,平均急性生理评分 II 为 19.0(7.9)。院内死亡率为 16.8%。在存活并入住 ICU 的患者中,急性疾病成分可准确预测入院时的结局[受试者工作特征曲线下面积(AUC)为 0.861;95%CI 0.860-0.862],但在 9 天后,其预测能力逐渐下降,且不再优于既往特征。这种转变定义了持续性危重病的发生,占队列的 16.1%(n=2856)。在各亚组中,转变范围在 5 至 21 天之间。持续性危重病患者的院内死亡率更高[23.9%比 15.5%,比值比(OR)1.54;95%CI 1.43-1.67,p<0.001]。持续性危重病患者占艾伯塔省 ICU 97844 个床位日的 54.5%和 420119 个住院床位日的 36.3%。
在入住艾伯塔省 ICU 的患者中,有六分之一发生了持续性危重病,与无持续性危重病的患者相比,其死亡风险更高,ICU 和住院时间更长,卫生资源的使用比例也更高。