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红细胞分布宽度与感染性休克患者预后的关系。

Red cell distribution width and outcome in patients with septic shock.

机构信息

Critical Care Medicine department, Mercy Hospital St Louis, St. Louis University, St Louis, MO, USA.

出版信息

J Intensive Care Med. 2013 Sep-Oct;28(5):307-13. doi: 10.1177/0885066612452838. Epub 2012 Jul 17.

Abstract

INTRODUCTION

Red cell distribution width (RDW) is reflective of systemic inflammation. The objective of this study was to investigate the association between RDW (on day 1 of development of septic shock) and mortality.

METHODS

A total of 279 patients with septic shock were included. We categorized the patients into quintiles based on RDW as follows: <13.5%, 13.5% to 15.5%, 15.6% to 17.5%, 17.5% to 19.4%, and >19.4%.

RESULTS

Red cell distribution width was a strong predictor of hospital mortality with a significant risk gradient across RDW quintiles after multivariable adjustment: RDW 13.5% to 15.5% (odds ratio [OR], 4.6; 95% confidence interval [CI], 1.0-23.4; P = .06); RDW 15.6% to 17.5% (OR, 8.0; 95% CI, 1.5-41.6; P = .01); RDW 17.6% to 19.4% (OR, 25.3; 95% CI, 4.3-149.2; P < .001); and RDW >19.4% (OR, 12.3; 95% CI, 2.1-73.3; P = .006), all relative to patients with RDW <13.5%. Similar significant robust associations were present for intensive care unit mortality. Estimating the receiver-operating characteristic area under the curve (AUC) showed that RDW has very good discriminative power for hospital mortality (AUC = 0.74). The AUC was 0.69 for Acute Physiologic and Chronic Health Evaluation II (APACHE II) and 0.69 for sequential organ failure assessment (SOFA). When adding RDW to APACHE II, the AUC increased from 0.69 to 0.77.

CONCLUSIONS

Red cell distribution width on day 1 of septic shock is a robust predictor of mortality. The RDW is inexpensive and commonly measured. The RDW fared better than either APACHE II or SOFA, and the sum of RDW and APACHE II was a stronger predictor of mortality than either one alone.

摘要

简介

红细胞分布宽度(RDW)反映了全身炎症。本研究的目的是探讨 RDW(在感染性休克发生的第 1 天)与死亡率之间的关系。

方法

共纳入 279 例感染性休克患者。我们根据 RDW 将患者分为五组:<13.5%、13.5%至 15.5%、15.6%至 17.5%、17.5%至 19.4%和>19.4%。

结果

RDW 是医院死亡率的强有力预测指标,在多变量调整后,RDW 五组之间存在显著的风险梯度:RDW 13.5%至 15.5%(比值比[OR],4.6;95%置信区间[CI],1.0-23.4;P =.06);RDW 15.6%至 17.5%(OR,8.0;95%CI,1.5-41.6;P =.01);RDW 17.6%至 19.4%(OR,25.3;95%CI,4.3-149.2;P <.001);RDW>19.4%(OR,12.3;95%CI,2.1-73.3;P =.006),均与 RDW<13.5%的患者相比。对于重症监护病房死亡率,也存在类似的显著稳健关联。估计受试者工作特征曲线下面积(AUC)显示,RDW 对医院死亡率具有很好的区分能力(AUC=0.74)。急性生理学和慢性健康评估 II(APACHE II)的 AUC 为 0.69,序贯器官衰竭评估(SOFA)的 AUC 为 0.69。当将 RDW 添加到 APACHE II 中时,AUC 从 0.69 增加到 0.77。

结论

感染性休克第 1 天的 RDW 是死亡率的一个强有力的预测指标。RDW 价格低廉且常规测量。RDW 的表现优于 APACHE II 或 SOFA,RDW 与 APACHE II 的总和比单独使用任何一个指标预测死亡率的能力都更强。

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