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红细胞分布宽度可预测 ICU 中以原发性癫痫发作为诊断的患者的院内死亡率:一项回顾性数据库研究。

Red blood cell distribution width predicts in-hospital mortality in patients with a primary diagnosis of seizures in the ICU: a retrospective database study.

机构信息

Neurology Medicine Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.

Department of Critical Care Medicine, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.

出版信息

Neurol Sci. 2022 Jan;43(1):499-506. doi: 10.1007/s10072-021-05305-z. Epub 2021 May 13.

DOI:10.1007/s10072-021-05305-z
PMID:33987808
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8118370/
Abstract

PURPOSE

The aim of this study was to determine the predictive value of red blood cell distribution width (RDW) in patients with a primary diagnosis of seizures admitted to the intensive care unit (ICU) in terms of in-hospital mortality.

METHODS

This was a retrospective study of the eICU Collaborative Research Database of adult patients (aged 18-88 years) with a primary diagnosis of seizures in 2014 and 2015. The prognostic value of RDW was investigated using a receiver operating characteristic (ROC) curve, multiple logistic regression model, and net reclassification index (NRI).

RESULTS

We identified 1568 patients who met the inclusion criteria. High RDW was significantly correlated with in-hospital mortality after adjusting for potential confounders with an odds ratio (OR) of 3.513 (95% confidence interval [CI]:1.699-7.266). The area under the ROC curve of RDW for in-hospital mortality was 0.7225. Compared with the prediction of in-hospital mortality using APACHE IV score alone, the continuous NRI with the RDW variable was 0.3507 (95%CI: 0.0584-0.6431, p < 0.05). The length of stay in the ICU of patients with an RDW >14.65% was significantly increased compared to those with normal RDW (log-rank test, p < 0.0001).

CONCLUSION

RDW width can be useful for prediction of in-hospital mortality in patients with seizures admitted to the ICU, and it provides additional prognostic value beyond the APACHE IV score alone.

摘要

目的

本研究旨在探讨红细胞分布宽度(RDW)在因癫痫发作而入住重症监护病房(ICU)的患者中的预测价值,主要是评估其与院内死亡率的相关性。

方法

这是一项回顾性研究,纳入了 2014 年至 2015 年间因癫痫发作而被收入 eICU 协作研究数据库的成年患者(年龄 18-88 岁)。采用受试者工作特征(ROC)曲线、多因素逻辑回归模型和净重新分类指数(NRI)来评估 RDW 的预后价值。

结果

我们共纳入了 1568 名符合纳入标准的患者。在校正了潜在混杂因素后,RDW 水平较高与院内死亡率显著相关,其比值比(OR)为 3.513(95%置信区间[CI]:1.699-7.266)。RDW 预测院内死亡率的 ROC 曲线下面积为 0.7225。与单独使用 APACHE IV 评分预测院内死亡率相比,RDW 变量的连续 NRI 为 0.3507(95%CI:0.0584-0.6431,p<0.05)。RDW 值>14.65%的患者 ICU 住院时间明显长于 RDW 值正常的患者(对数秩检验,p<0.0001)。

结论

RDW 宽度可用于预测因癫痫发作而入住 ICU 的患者的院内死亡率,其提供的预后价值除了 APACHE IV 评分外还具有补充作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/710f/8118370/472859d9869a/10072_2021_5305_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/710f/8118370/5334f62ac367/10072_2021_5305_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/710f/8118370/1727ec7f38da/10072_2021_5305_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/710f/8118370/f7faa3b429a5/10072_2021_5305_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/710f/8118370/472859d9869a/10072_2021_5305_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/710f/8118370/5334f62ac367/10072_2021_5305_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/710f/8118370/1727ec7f38da/10072_2021_5305_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/710f/8118370/f7faa3b429a5/10072_2021_5305_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/710f/8118370/472859d9869a/10072_2021_5305_Fig4_HTML.jpg

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本文引用的文献

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2
Red Blood Cell Distribution Width: A Novel Predictive Indicator for Cardiovascular and Cerebrovascular Diseases.红细胞分布宽度:心血管和脑血管疾病的新预测指标。
Dis Markers. 2017;2017:7089493. doi: 10.1155/2017/7089493. Epub 2017 Sep 6.
3
The role of neutrophil-lymphocyte ratio and red blood cell distribution width in the classification of febrile seizures.
中性粒细胞与淋巴细胞比值及红细胞分布宽度在热性惊厥分类中的作用
Eur Rev Med Pharmacol Sci. 2017 Feb;21(3):554-559.
4
Neutrophil-to-lymphocyte ratio and red blood cell distribution width is a practical predictor for differentiation of febrile seizure types.中性粒细胞与淋巴细胞比值及红细胞分布宽度是热性惊厥类型鉴别的实用预测指标。
Eur Rev Med Pharmacol Sci. 2014 Nov;18(22):3380-5.