...
首页> 外文期刊>Frontiers in Pediatrics >Performance of Three Mortality Prediction Scores and Evaluation of Important Determinants in Eight Pediatric Intensive Care Units in China
【24h】

Performance of Three Mortality Prediction Scores and Evaluation of Important Determinants in Eight Pediatric Intensive Care Units in China

机译:三个死亡率预测分数的性能与中国八个儿科重症监护单位重要决定因素的评价

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Background: The mortality predictions scores were widely used in pediatric intensive care units. However, their performances were unclear in Chinese patients and there were also no reports of large sample size in China. We evaluated the performances of three existing severity assessment scores in predicting PICU mortality and to identify important determinants. Methods: This prospective observational cohort study was carried out in eight multidisciplinary, tertiary-care PICUs of teaching hospitals in China. All consecutive patients admitted to the PICUs between Aug 1, 2016 and Jul 31, 2017 were included for analysis. We calculated PCIS, PRISM IV, PELOD-2 scores based on patient data collected in the first 24 hours after PICU admission. The in-hospital mortality was defined as all-cause death within three months after admission. The discrimination power was assessed using the area under the receiver-operating characteristics (ROC) curve (AUC) and calibration using the Hosmer-Lemeshow goodness-of-fit test. Results: A total of 4770 eligible patients were recruited (median age 18.2 months, overall mortality rate 4.7%, median length of PICU stay 6 days). The AUC (95% confidence intervals, CI) were 0.76 (0.70-0.78), 0.76 (0.72-0.80) and 0.80 (0.76-0.84) for PCIS, PRISM IV and PELOD-2, respectively. The Hosmer-Lemeshow test gave a chi-square of 3.16 for PCIS, 2.16 for PRISM IV and 4.81 for PELOD-2 (P ≥ 0.19). Cox regression identified five predictors from the items of scores better associated with higher death risk, with C-index of 0.82 (95%CI 0.79-0.86), including higher platelet (HR=1.85, 95% CI 1.59-2.15), invasive ventilation (HR=1.41, 1.27-1.56)and pupillary light reflex (HR=1.31, 95% CI 1.21-1.41) scores, lower pH (HR 0.89, 0.84-0.93) and lower PaO2 (HR 0.91, 0.86-0.96) scores. Conclusions: Performances of the three scores in predicting PICU mortality are comparable, and five predictors were identified with better prediction to PICU mortality in Chinese patients.
机译:背景:儿科重症监护单位广泛应用于死亡率预测。然而,他们的表演尚不清楚中国患者,也没有关于中国的大量样品大小的报道。我们评估了三种现有严重性评估评分的性能,以预测PICU死亡率并确定重要的决定因素。方法:该前瞻性观察队列研究是在中国教学医院的八个多学科,第三级护丘。所有连续的患者均在2016年8月1日至2017年7月31日之间录取皮质的患者被列入分析。我们计算PCIS,PRISM IV,PELOD-2基于PICU入院后的前24小时内收集的患者数据。住院死亡率被定义为入院后三个月内的全因死亡。使用接收器操作特性(ROC)曲线(AUC)(AUC)下的区域进行评估辨别力,并使用Hosmer-Lemeshow的拟合性测试校准。结果:招募了4770名符合条件的患者(中位年龄为18.2个月,总死亡率4.7%,PICU停留6天的中位数)。 AUC(95%置信区间,CI)分别为PCIS,棱镜IV和PELOD-2的0.76(0.70-0.78),0.76(0.72-0.80)和0.80(0.76-0.84)。 Hosmer-Lemeshow测试为PCIS的Chi-Square提供3.16,2.16用于Pelod-2的棱镜IV和4.81(p≥019)。 Cox回归鉴定了与较高死亡风险相关的分数的五种预测因子,C折射率为0.82(95%CI 0.79-0.86),包括更高的血小板(HR = 1.85,95%CI 1.59-2.15),侵入式通风(HR = 1.41,1.27-1.56)和瞳孔光反射(HR = 1.31,95%CI 1.21-1.41)分数,低于pH(HR 0.89,0.84-0.93)和低位PAO2(HR 0.91,0.86-0.96)。结论:预测PICU死亡率的三个评分的表演是可比的,并且鉴定了五种预测因子,以更好地预测中国患者的PICU死亡率。
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号