Suppr超能文献

急诊科儿童早期预警评分(ED-PEWS)在低收入和中等收入国家应用的验证:一项多中心观察性研究。

Validation of the Emergency Department-Paediatric Early Warning Score (ED-PEWS) for use in low- and middle-income countries: A multicentre observational study.

作者信息

Kemps Naomi, Holband Natanael, Boeddha Navin P, Faal Abdoulie, Juliana Amadu E, Kavishe Godfrey A, Keitel Kristina, van 't Kruys Kevin H, Ledger Elizabeth V, Moll Henriëtte A, Prentice Andrew M, Secka Fatou, Tan Rainer, Usuf Effua, Unger Stefan A, Zachariasse Joany M

机构信息

Department of General Paediatrics, Erasmus MC- Sophia Children's Hospital, University Medical Centre Rotterdam, Rotterdam, The Netherlands.

Department of Paediatrics, Academic Hospital Paramaribo, Paramaribo, Suriname.

出版信息

PLOS Glob Public Health. 2024 Mar 21;4(3):e0002716. doi: 10.1371/journal.pgph.0002716. eCollection 2024.

Abstract

Early recognition of children at risk of serious illness is essential in preventing morbidity and mortality, particularly in low- and middle-income countries (LMICs). This study aimed to validate the Emergency Department-Paediatric Early Warning Score (ED-PEWS) for use in acute care settings in LMICs. This observational study is based on previously collected clinical data from consecutive children attending four diverse settings in LMICs. Inclusion criteria and study periods (2010-2021) varied. We simulated the ED-PEWS, consisting of patient age, consciousness, work of breathing, respiratory rate, oxygen saturation, heart rate, and capillary refill time, based on the first available parameters. Discrimination was assessed by the area under the curve (AUC), sensitivity and specificity (previously defined cut-offs < 6 and ≥ 15). The outcome measure was for each setting a composite marker of high urgency. 41,917 visits from Gambia rural, 501 visits from Gambia urban, 2,608 visits from Suriname, and 1,682 visits from Tanzania were included. The proportion of high urgency was variable (range 4.6% to 24.9%). Performance ranged from AUC 0.80 (95%CI 0.70-0.89) in Gambia urban to 0.62 (95%CI 0.55-0.67) in Tanzania. The low-urgency cut-off showed a high sensitivity in all settings ranging from 0.83 (95%CI 0.81-0.84) to 1.00 (95%CI 0.97-1.00). The high-urgency cut-off showed a specificity ranging from 0.71 (95%CI 0.66-0.75) to 0.97 (95%CI 0.97-0.97). The ED-PEWS has a moderate to good performance for the recognition of high urgency children in these LMIC settings. The performance appears to have potential in improving the identification of high urgency children in LMICs.

摘要

早期识别有患重病风险的儿童对于预防发病和死亡至关重要,尤其是在低收入和中等收入国家(LMICs)。本研究旨在验证急诊科儿童早期预警评分(ED-PEWS)在LMICs急性护理环境中的应用。这项观察性研究基于之前从LMICs四个不同机构连续就诊的儿童收集的临床数据。纳入标准和研究时间段(2010 - 2021年)各不相同。我们根据首次获得的参数模拟了ED-PEWS,其包括患者年龄、意识、呼吸努力程度、呼吸频率、血氧饱和度、心率和毛细血管再充盈时间。通过曲线下面积(AUC)、敏感性和特异性(之前定义的临界值<6和≥15)来评估辨别能力。结局指标是每个机构的高紧急程度综合指标。纳入了来自冈比亚农村的41,917次就诊、来自冈比亚城市的501次就诊、来自苏里南的2,608次就诊以及来自坦桑尼亚的1,682次就诊。高紧急程度的比例各不相同(范围为4.6%至24.9%)。辨别能力范围从冈比亚城市的AUC 0.80(95%CI 0.70 - 0.89)到坦桑尼亚的0.62(95%CI 0.55 - 0.67)。低紧急程度临界值在所有机构中均显示出高敏感性,范围从0.83(95%CI 0.81 - 0.84)到1.00(95%CI 0.97 - 1.00)。高紧急程度临界值的特异性范围从0.71(95%CI 0.66 - 0.75)到0.97(95%CI 0.97 - 0.97)。ED-PEWS在这些LMICs环境中识别高紧急程度儿童方面具有中等至良好的表现。该表现似乎在改善LMICs中高紧急程度儿童的识别方面具有潜力。

相似文献

本文引用的文献

7
Reporting of artificial intelligence prediction models.人工智能预测模型的报告。
Lancet. 2019 Apr 20;393(10181):1577-1579. doi: 10.1016/S0140-6736(19)30037-6.

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