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红细胞分布宽度对脑卒中后抑郁的预测价值。

Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression.

机构信息

The Second Affiliated Hospital of Anhui Medical University, Hefei 230000, China.

出版信息

Comput Math Methods Med. 2021 Jul 19;2021:8361504. doi: 10.1155/2021/8361504. eCollection 2021.

DOI:10.1155/2021/8361504
PMID:34335867
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8315889/
Abstract

PURPOSE

Red blood cell distribution width (RDW) is increased in a variety of inflammatory-related diseases. However, there is no report of its clinical significance in poststroke depression (PSD). This study explores the clinical significance of RDW in PSD patients.

METHODS

A total of 185 patients with first-ever acute ischaemic stroke (AIS) in the Second Hospital of Anhui Medical University were chosen as subjects. A retrospective observational study was conducted from February 2019 to February 2020. PSD patients were diagnosed at 6 months after stroke based on the Diagnostic and Statistical Manual of Mental Disorders-IV criteria. Clinical and laboratory data were obtained from all patients. Coefficient of Variation (RDW-CV) and standard deviation (RDW-SD) were used to statistically report the performance of red blood cell distribution width.

RESULTS

At the 6-month follow-up, 46 patients were diagnosed with PSD. Compared with non-PSD patients, PSD patients exhibited an increase in RDW-CV and RDW-SD, which positively correlated with serum interleukin 6 (IL-6) concentrations. In PSD patients, only RDW-SD demonstrated a consistent positive association with the Hamilton Rating Scale for Depression (HAM-D) scores at 6 months after admission. RDW-CV, RDW-SD, and IL-6 were recognized as independent predictors of PSD. The area under the receiver operating characteristic (ROC) curve (AUC) of RDW-SD was 0.796 (95% CI: 0.731-0.852) for the prediction of PSD, which was superior to that of RDW-CV. The specificity for predicting PSD was 60.43%, and the sensitivity was 91.30% if RDW-SD was higher than 43.80 fL.

CONCLUSIONS

RDW-SD is a simple, inexpensive, rapid, and easily accessible parameter that can be used to predict PSD in patients with stroke.

摘要

目的

红细胞分布宽度(RDW)在各种炎症相关疾病中增加。然而,目前尚无其在卒中后抑郁(PSD)中的临床意义的报道。本研究旨在探讨 RDW 在 PSD 患者中的临床意义。

方法

选择安徽医科大学第二附属医院 185 例首次急性缺血性脑卒中(AIS)患者作为研究对象。回顾性观察性研究于 2019 年 2 月至 2020 年 2 月进行。根据《精神障碍诊断与统计手册第四版》标准,在卒中后 6 个月时诊断 PSD 患者。从所有患者中获取临床和实验室数据。采用变异系数(RDW-CV)和标准差(RDW-SD)来统计报告红细胞分布宽度的表现。

结果

在 6 个月的随访中,46 例患者被诊断为 PSD。与非 PSD 患者相比,PSD 患者的 RDW-CV 和 RDW-SD 增加,且与血清白细胞介素 6(IL-6)浓度呈正相关。在 PSD 患者中,只有 RDW-SD 与入院后 6 个月的汉密尔顿抑郁量表(HAM-D)评分呈一致的正相关。RDW-CV、RDW-SD 和 IL-6 被认为是 PSD 的独立预测因子。RDW-SD 预测 PSD 的受试者工作特征(ROC)曲线下面积(AUC)为 0.796(95%CI:0.731-0.852),优于 RDW-CV。预测 PSD 的特异性为 60.43%,当 RDW-SD 高于 43.80 fL 时,敏感性为 91.30%。

结论

RDW-SD 是一种简单、经济、快速且易于获得的参数,可用于预测卒中患者的 PSD。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a59e/8315889/71db6b61f9c2/CMMM2021-8361504.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a59e/8315889/cf13daa68df9/CMMM2021-8361504.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a59e/8315889/5f72e55bebdb/CMMM2021-8361504.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a59e/8315889/acafb41e81ec/CMMM2021-8361504.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a59e/8315889/71db6b61f9c2/CMMM2021-8361504.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a59e/8315889/cf13daa68df9/CMMM2021-8361504.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a59e/8315889/5f72e55bebdb/CMMM2021-8361504.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a59e/8315889/acafb41e81ec/CMMM2021-8361504.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a59e/8315889/71db6b61f9c2/CMMM2021-8361504.004.jpg

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