Hospital de Cidade, Núcleo de Pesquisa, Ensino e Comunicação, Salvador, Brazil.
Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.
PLoS One. 2020 Nov 4;15(11):e0240793. doi: 10.1371/journal.pone.0240793. eCollection 2020.
This study aimed to assess the performance of a commonly used ICU severity score (SAPS3) and determine whether an alternative scoring system may be more accurate across all age strata.
Retrospective cohort study in a general ICU in Brazil. A secondary analysis was performed with clinical and epidemiological data, present in the first 24 hours of unit admission. Then, a binary logistic regression, followed by cross-validation, was made to develop a novel prognostic tool. ICU mortality was the primary outcome evaluated.
A total of 3042 patients were included over the study period between August 2015 and July 2018 with a median age of 67 ± 18.4 years. SAPS3 performed fairly in prediction of ICU mortality, particularly in the 80 years or older subset. Multivariable regression identified variables independently associated with mortality that were used to develop the Age Calibrated ICU Score (ACIS) tool that performed similarly to SAPS3 across age categories, being slightly superior in the very elderly population (AUC 0.80 vs 0.72).
The ACIS offers a robust and simple tool to predict ICU mortality, particularly in an increasingly elderly critical care population.
本研究旨在评估一种常用的 ICU 严重程度评分(SAPS3)的性能,并确定是否存在替代评分系统,在所有年龄段中更为准确。
巴西普通 ICU 的回顾性队列研究。对临床和流行病学数据进行二次分析,这些数据存在于入住单位的前 24 小时内。然后,进行二元逻辑回归,再进行交叉验证,以开发一种新的预后工具。 ICU 死亡率是评估的主要结果。
在 2015 年 8 月至 2018 年 7 月期间,共纳入了 3042 名患者,中位年龄为 67±18.4 岁。SAPS3 在预测 ICU 死亡率方面表现相当,特别是在 80 岁及以上的亚组中。多变量回归确定了与死亡率独立相关的变量,这些变量用于开发年龄校正 ICU 评分(ACIS)工具,该工具在各个年龄段的 SAPS3 表现相似,在非常老年人群中略占优势(AUC 为 0.80 比 0.72)。
ACIS 提供了一种强大而简单的工具来预测 ICU 死亡率,特别是在老龄化不断增加的重症监护人群中。