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儿童死亡率3指数(Pediatric Index of Mortality 3)与儿童逻辑器官功能障碍-2(Pediatric Logistic Organ Dysfunction-2)在预测儿科死亡率方面存在差异的临床意义。

Clinical implications of discrepancies in predicting pediatric mortality between Pediatric Index of Mortality 3 and Pediatric Logistic Organ Dysfunction-2.

作者信息

Lee Eui Jun, Lee Bongjin, Kim You Sun, Choi Yu Hyeon, Kwak Young Ho, Park June Dong

机构信息

Department of Emergency Medicine, Seoul National University College of Medicine, Seoul, Korea.

Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea.

出版信息

Acute Crit Care. 2022 Aug;37(3):454-461. doi: 10.4266/acc.2021.01480. Epub 2022 Jul 29.

Abstract

BACKGROUND

Pediatric Index of Mortality 3 (PIM 3) and Pediatric Logistic Organ Dysfunction-2 (PELOD-2) are validated tools for predicting mortality in children. Research suggests that these tools may have different predictive performance depending on patient group characteristics. Therefore, we designed this study to identify the factors that make the mortality rates predicted by the tools different.

METHODS

This retrospective study included patients (<18 years) who were admitted to a pediatric intensive care unit from July 2017 to May 2019. After defining the predicted mortality of PIM 3 minus the predicted mortality rate of PELOD-2 as "difference in mortality prediction," the clinical characteristics significantly related to this were analyzed using multivariable regression analysis. Predictive performance was analyzed through the Hosmer-Lemeshow test and area under the receiver operating characteristic curve (AUROC).

RESULTS

In total, 945 patients (median [interquartile range] age, 3.0 [0.0-8.0] years; girls, 44.7%) were analyzed. The Hosmer-Lemeshow test revealed AUROCs of 0.889 (χ2=10.187, P=0.313) and 0.731 (χ2=6.220, P=0.183) of PIM 3 and PELOD-2, respectively. Multivariable linear regression analysis revealed that oxygen saturation, partial pressure of CO2, base excess, platelet counts, and blood urea nitrogen levels were significant factors. Patient condition-related factors such as cardiac bypass surgery, seizures, cardiomyopathy or myocarditis, necrotizing enterocolitis, cardiac arrest, leukemia or lymphoma after the first induction, bone marrow transplantation, and liver failure were significantly related (P<0.001).

CONCLUSIONS

Both tools predicted observed mortality well; however, caution is needed in interpretation as they may show different prediction results in relation to specific clinical characteristics.

摘要

背景

儿童死亡率指数3(PIM 3)和儿童逻辑器官功能障碍-2(PELOD-2)是用于预测儿童死亡率的有效工具。研究表明,根据患者群体特征,这些工具可能具有不同的预测性能。因此,我们设计了本研究以确定导致这些工具预测的死亡率不同的因素。

方法

这项回顾性研究纳入了2017年7月至2019年5月入住儿科重症监护病房的18岁以下患者。将PIM 3预测的死亡率减去PELOD-2预测的死亡率定义为“死亡率预测差异”后,使用多变量回归分析分析与之显著相关的临床特征。通过Hosmer-Lemeshow检验和受试者工作特征曲线下面积(AUROC)分析预测性能。

结果

共分析了945例患者(年龄中位数[四分位间距]为3.0[0.0-8.0]岁;女孩占44.7%)。Hosmer-Lemeshow检验显示,PIM 3和PELOD-2的AUROC分别为0.889(χ2=10.187,P=0.313)和0.731(χ2=6.220,P=0.183)。多变量线性回归分析显示,血氧饱和度、二氧化碳分压、碱剩余、血小板计数和血尿素氮水平是显著因素。与患者病情相关的因素,如心脏搭桥手术、癫痫发作、心肌病或心肌炎、坏死性小肠结肠炎、心脏骤停、首次诱导后的白血病或淋巴瘤、骨髓移植和肝衰竭,均显著相关(P<0.001)。

结论

两种工具对观察到的死亡率预测效果均良好;然而,由于它们在特定临床特征方面可能显示不同的预测结果,因此在解释时需要谨慎。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4932/9475145/77a0d665355e/acc-2021-01480f1.jpg

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