Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada.
Am J Perinatol. 2013 May;30(5):395-400. doi: 10.1055/s-0032-1326983. Epub 2012 Sep 21.
Derive and validate a practical assessment of infant illness severity at admission to neonatal intensive care units (NICUs).
Prospective study involving 17,075 infants admitted to 15 NICUs in 2006 to 2008. Logistic regression was used to derive a prediction model for mortality comprising four empirically weighted items (temperature, blood pressure, respiratory status, response to noxious stimuli). This Transport Risk Index of Physiologic Stability, version II (TRIPS-II) was then validated for prediction of 7-day and total NICU mortality.
TRIPS-II discriminated 7-day (receiver operating curve [ROC] area, 0.90) and total NICU mortality (ROC area, 0.87) from survival. Furthermore, there was a direct association between changes in TRIPS-II at 12 and 24 hours and mortality. There was good calibration across the full range of TRIPS-II scores and the gestational age at birth, and addition of TRIPS-II improved performance of prediction models that use gestational age and baseline population risk variables.
TRIPS-II is a validated benchmarking tool for assessing infant illness severity at admission and for up to 24 hours after.
为新生儿重症监护病房（NICU）入院时婴儿疾病严重程度制定并验证一种实用的评估方法。
前瞻性研究，纳入 2006 年至 2008 年间 15 家 NICU 中 17075 名入院婴儿。使用逻辑回归得出一个包含四个经验加权项目（体温、血压、呼吸状态、对有害刺激的反应）的死亡率预测模型。该运输风险指数生理稳定性 II 版（TRIPS-II）随后被验证用于预测 7 天和总 NICU 死亡率。
TRIPS-II 可区分 7 天（ROC 曲线面积，0.90）和总 NICU 死亡率（ROC 曲线面积，0.87）与存活。此外，TRIPS-II 在 12 小时和 24 小时的变化与死亡率之间存在直接关联。TRIPS-II 评分和出生时的胎龄在整个范围内均有良好的校准，并且添加 TRIPS-II 可提高使用胎龄和基线人群风险变量的预测模型的性能。
TRIPS-II 是一种经过验证的评估入院时婴儿疾病严重程度以及 24 小时内疾病严重程度的基准工具。
