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验证一种用于肺炎患者早期入住重症监护病房的临床预测模型。

Validation of a clinical prediction model for early admission to the intensive care unit of patients with pneumonia.

机构信息

Quality of Care Unit, Grenoble University Hospital, Grenoble, France.

出版信息

Acad Emerg Med. 2012 Sep;19(9):993-1003. doi: 10.1111/j.1553-2712.2012.01424.x.

Abstract

OBJECTIVES

The Risk of Early Admission to the Intensive Care Unit (REA-ICU) index is a clinical prediction model that was derived based on 4,593 patients with community-acquired pneumonia (CAP) for predicting early admission to the intensive care unit (ICU; i.e., within 3 days following emergency department [ED] presentation). This study aimed to validate the REA-ICU index in an independent sample.

METHODS

The authors retrospectively stratified 850 CAP patients enrolled in a multicenter prospective randomized trial conducted in Switzerland, using the REA-ICU index, alternate clinical prediction models of severe pneumonia (SMART-COP, CURXO-80, and the 2007 IDSA/ATS minor severity criteria), and pneumonia severity assessment tools (the Pneumonia Severity Index [PSI] and CURB-65).

RESULTS

The rate of early ICU admission did not differ between the validation and derivation samples within each risk class of the REA-ICU index, ranging from 1.1% to 1.8% in risk class I to 27.1% to 27.6% in risk class IV. The areas under the receiver operating characteristic (ROC) curve were 0.76 (95% confidence interval [CI] = 0.70 to 0.83) and 0.80 (95% CI = 0.77 to 0.83) in the validation and derivation samples, respectively. In the validation sample, the REA-ICU index performed better than the pneumonia severity assessment tools, but failed to demonstrate an accuracy advantage over alternate prediction models in predicting ICU admission.

CONCLUSIONS

The REA-ICU index reliably stratifies CAP patients into four categories of increased risk for early ICU admission within 3 days following ED presentation. Further research is warranted to determine whether inflammatory biomarkers may improve the performance of this clinical prediction model.

摘要

目的

REA-ICU 指数是一种临床预测模型,基于 4593 例社区获得性肺炎(CAP)患者的数据进行推导,用于预测重症监护病房(ICU)的早期入住(即在急诊科就诊后 3 天内)。本研究旨在验证该模型在独立样本中的适用性。

方法

作者回顾性地对瑞士进行的一项多中心前瞻性随机试验中纳入的 850 例 CAP 患者进行分层,使用 REA-ICU 指数、严重肺炎的替代临床预测模型(SMART-COP、CURXO-80 和 2007 年 IDSA/ATS 轻度严重程度标准)以及肺炎严重程度评估工具(PSI 和 CURB-65)。

结果

REA-ICU 指数的各个风险类别在验证样本和推导样本中,其早期入住 ICU 的发生率在每个风险类别中均无差异,从风险类别 I(1.1%-1.8%)到风险类别 IV(27.1%-27.6%)。验证样本和推导样本中,ROC 曲线下面积分别为 0.76(95%置信区间[CI] = 0.70-0.83)和 0.80(95% CI = 0.77-0.83)。在验证样本中,REA-ICU 指数在预测 ICU 入住方面的表现优于肺炎严重程度评估工具,但与替代预测模型相比,未能证明其具有更高的准确性。

结论

REA-ICU 指数可可靠地将 CAP 患者分为四个类别,以预测急诊科就诊后 3 天内 ICU 入住的风险增加。需要进一步研究炎症生物标志物是否可以改善该临床预测模型的性能。

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