在埃及儿童重症监护病房的儿童死亡率指数-2、儿童死亡率指数-3和儿童死亡率风险IV的表现

M. Mohamed, R. Abdelatif, Mohamed A. Bakheet, R. Mahmoud
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摘要

疾病严重程度(SOI)评分已被开发用于预测结果,并利用现有资源提供更高质量的护理。本研究目的:评价资源有限的儿科重症监护病房(PICU)儿童死亡率指数-2 (PIM-2)、儿童死亡率指数-3(PIM-3)和儿童死亡率风险指数(PRISM IV)的预测能力。材料与方法:我们于2018年3月至2020年6月在索哈格大学医院PICU进行前瞻性队列研究。我们记录了患者的基线特征、入院诊断、PIM-2、PIM-3和PRISM IV模型的变量以及入住PICU的儿童的预后。我们利用受试者工作特征下面积(AU-ROC)曲线和拟合优度(GOF)检验来评估三种模型的判别和校准。结果:入组451例患者中,171例(37.9%)死亡。脓毒症是主要的入院诊断。PRISM IV的鉴别是可以接受的,而PIM-2和PIM-3的鉴别都很差,AU-ROC为(0.74;95%CI: 0.62- 0.86 (PRISM IV) vs (0.69;95% CI: 0.58- 0.81 (PIM-2)和(0.69;PIM-3的95% CI: 0.57-0.81 (p < 0.0001)。由于GOF检验的p值< 0.0001,所有分数的校准都很差。结论:三种模型中PRISM IV的鉴别效果最好,可接受。在我们的研究中,所有的评分都有较差的校准和低预测死亡率。我们建议将其作为质量指标而不是死亡率预测。
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Performance of pediatric index of mortality-2, pediatric index of mortality-3 and pediatric risk of mortality IV in an Egyptian pediatric intensive care unit.
: Introduction: Severity of illness (SOI) scores have been developed to predict the outcome and to provide a better quality of care with available resources. Objective of the study : was to evaluate the predictive ability of pediatric index of mortality-2 (PIM-2), pediatric index of mortality-3(PIM-3) and pediatric risk of mortality IV (PRISM IV) in a resource-limited pediatric intensive care unit (PICU). Materials and methods : We conducted a prospective cohort study in PICU in Sohag University Hospital in the period from March 2018 to June 2020. We recorded the baseline patient characteristics, admission diagnoses, variables of PIM-2, PIM-3 and PRISM IV models and outcomes of children admitted to the PICU. We utilized area under receiver operating characteristics (AU-ROC) curves and Goodness-of-fit (GOF) test to evaluate the discrimination and calibration of the three models. Results: Of 451 patients enrolled, 171 (37.9%) died. Sepsis was the major admission diagnosis. The discrimination was acceptable for PRISM IV, while it was poor for both PIM-2 and PIM-3 as indicated by the AU-ROC which was (0.74; 95%CI: 0.62- 0.86 for PRISM IV) vs (0.69; 95% CI: 0.58- 0.81 for PIM-2) and (0.69; 95% CI: 0.57-0.81for PIM-3) ( p < 0.0001). The calibration was poor for all scores as the p -value of GOF test for was < 0.0001 for all scores. Conclusion: The discrimination of PRISM IV was acceptable and the best among the three models. All scores had poor calibration and under-predict mortality in our setting. We suggest utilizing them as quality indicators rather than in mortality prediction.
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