Bhal S, Tygai V, Kumar N, Sreenivas V, Puliyel J M
Department of Pediatrics, St Stephens Hospital, All India Institute of Medical Science, New Delhi, India.
J Postgrad Med. 2006 Apr-Jun;52(2):102-5.
Signs of Inflammation in Children that can Kill (SICK score) is a new severity-of-illness score. It uses the physical signs of the Systemic Inflammatory Response Syndrome (SIRS) and its continuum--the Multiple Organ Dysfunction Syndrome (MODS). The development of the score used multiple logistic regression model coefficients converted to integer scores that have been published earlier.
The present study was done to validate the scoring system by predicting outcomes in a fresh data set.
Intensive care unit in a tertiary referral hospital.
Prospective.
125 admissions to the intensive care unit were evaluated so that the SICK score and the PRISM score could be calculated. In-hospital mortality was noted.
Calibration (Hosmer-Lemeshow goodness of fit) and discrimination (area under the ROC curve) were used to measure performance.
Of the 125 patients studied 23 died. The area under the ROC curve was 0.76 compared to 0.80 in the development sample. Using PRISM in the validation group, the ROC was 0.78. Calibration was excellent.
The SICK score can predict severity of illness with nearly the same accuracy as the PRISM score. The SICK score can be calculated immediately on admission and can help to prioritize care for the more sick children who need urgent aggressive management. Larger studies, that includes all admissions to the hospital, will now need to be done.
儿童致死性炎症体征(SICK评分)是一种新的疾病严重程度评分。它采用全身炎症反应综合征(SIRS)及其连续体——多器官功能障碍综合征(MODS)的体征。该评分的制定使用了先前已发表的经转换为整数评分的多重逻辑回归模型系数。
本研究旨在通过在新数据集中预测结果来验证该评分系统。
一家三级转诊医院的重症监护病房。
前瞻性研究。
对125例入住重症监护病房的患者进行评估,以便计算SICK评分和PRISM评分。记录院内死亡率。
采用校准(Hosmer-Lemeshow拟合优度)和鉴别力(ROC曲线下面积)来衡量性能。
在研究的125例患者中,23例死亡。ROC曲线下面积为0.76,而在开发样本中为0.80。在验证组中使用PRISM时,ROC为0.78。校准效果极佳。
SICK评分预测疾病严重程度的准确性与PRISM评分几乎相同。SICK评分可在入院时立即计算,并有助于为需要紧急积极治疗的病情较重儿童确定护理优先级。现在需要开展包括所有入院患者的更大规模研究。