Suppr超能文献

新生儿及儿科序贯器官衰竭评估评分在足月危重新生儿中的应用价值。

Utility of the neonatal and pediatric sequential organ failure assessment scores in critically ill term neonates.

作者信息

Nicolas Lara, Wynn James L, de la Cruz Diomel

机构信息

Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL, United States.

出版信息

Front Pediatr. 2025 Apr 29;13:1546408. doi: 10.3389/fped.2025.1546408. eCollection 2025.

Abstract

BACKGROUND

The pediatric sequential organ failure assessment (pSOFA) and neonatal SOFA (nSOFA) scores are used to assess organ dysfunction and predict mortality in critically ill children and neonates. However, their utility in predicting mortality in term neonates admitted to pediatric ICU/pediatric cardiac ICU (PICU/PCICU) and neonatal ICU (NICU) remains unknown.

METHODS

We conducted a single-center retrospective cohort study of electronic health records of 4,403 and 379 term neonates admitted to NICU and PICU/PCICU, respectively. Hourly pSOFA and nSOFA scores were calculated. The primary outcome was in-hospital mortality. The area under the receiving operating characteristic curve (AUROC) for mortality was calculated.

RESULTS

Both scores predicted mortality in both settings (AUROC range, 0.79-0.95). The pSOFA showed a larger difference between survivors and non-survivors in the PICU/PCICU cohort, while nSOFA captured critical mortality risk factors in neonates across both settings.

CONCLUSIONS

Both pSOFA and nSOFA predicted mortality with good to very good discrimination in critically ill term neonates admitted to PICU/PCICU and NICU settings.

摘要

背景

儿科序贯器官衰竭评估(pSOFA)和新生儿序贯器官衰竭评估(nSOFA)评分用于评估危重症儿童和新生儿的器官功能障碍并预测死亡率。然而,它们在预测入住儿科重症监护病房/儿科心脏重症监护病房(PICU/PCICU)和新生儿重症监护病房(NICU)的足月儿死亡率方面的效用尚不清楚。

方法

我们分别对入住NICU和PICU/PCICU的4403例和379例足月儿的电子健康记录进行了单中心回顾性队列研究。计算每小时的pSOFA和nSOFA评分。主要结局是院内死亡率。计算死亡率的受试者工作特征曲线下面积(AUROC)。

结果

两种评分在两种情况下均能预测死亡率(AUROC范围为0.79 - 0.95)。在PICU/PCICU队列中,pSOFA在幸存者和非幸存者之间显示出更大的差异,而nSOFA在两种情况下均捕捉到了新生儿的关键死亡风险因素。

结论

pSOFA和nSOFA在预测入住PICU/PCICU和NICU的危重症足月儿死亡率方面具有良好到非常好的区分度。

相似文献

1
Utility of the neonatal and pediatric sequential organ failure assessment scores in critically ill term neonates.
Front Pediatr. 2025 Apr 29;13:1546408. doi: 10.3389/fped.2025.1546408. eCollection 2025.
4
Dynamic Prediction of Mortality Using Longitudinally Measured Pediatric Sequential Organ Failure Assessment Scores: A Joint Modeling Approach.
Pediatr Crit Care Med. 2024 May 1;25(5):443-451. doi: 10.1097/PCC.0000000000003457. Epub 2024 Feb 7.
8
Validation of Pediatric Sequential Organ Failure Assessment (pSOFA) Scores to Predict Critical Events in the Pediatric Intensive Care Unit.
J Intensive Care Med. 2025 May;40(5):565-570. doi: 10.1177/08850666241307630. Epub 2025 Jan 9.
9
Comparison of pSOFA with PRISM III and PIM 2 as Predictors of Outcome in a Tertiary Care Pediatric ICU: A Prospective Cross-sectional Study.
Indian J Crit Care Med. 2024 Aug;28(8):796-801. doi: 10.5005/jp-journals-10071-24772. Epub 2024 Jul 31.
10
Sequential Organ Failure Assessment Score As a Predictor of Outcome in Sepsis in Pediatric Intensive Care Unit.
J Pediatr Intensive Care. 2021 Jun;10(2):110-117. doi: 10.1055/s-0040-1714705. Epub 2020 Jul 30.

本文引用的文献

1
Critical Organ Dysfunction and Preoperative Mortality in Newborns with Hypoplastic Left Heart Syndrome.
Am J Perinatol. 2024 Dec;41(16):2308-2311. doi: 10.1055/s-0044-1787009. Epub 2024 May 13.
2
Dynamic Prediction of Mortality Using Longitudinally Measured Pediatric Sequential Organ Failure Assessment Scores: A Joint Modeling Approach.
Pediatr Crit Care Med. 2024 May 1;25(5):443-451. doi: 10.1097/PCC.0000000000003457. Epub 2024 Feb 7.
4
Sequential organ failure assessment scores to predict outcomes: from adults to neonates.
Curr Opin Pediatr. 2023 Apr 1;35(2):218-222. doi: 10.1097/MOP.0000000000001207. Epub 2022 Nov 29.
9
Hourly Kinetics of Critical Organ Dysfunction in Extremely Preterm Infants.
Am J Respir Crit Care Med. 2022 Jan 1;205(1):75-87. doi: 10.1164/rccm.202106-1359OC.
10

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验