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Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression

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...

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Autores principales: Dai, Ming, Wei, Qiyao, Zhang, Yuxin, Fang, Chuanqin, Qu, Ping, Cao, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315889/
https://www.ncbi.nlm.nih.gov/pubmed/34335867
http://dx.doi.org/10.1155/2021/8361504
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author Dai, Ming
Wei, Qiyao
Zhang, Yuxin
Fang, Chuanqin
Qu, Ping
Cao, Lei
author_facet Dai, Ming
Wei, Qiyao
Zhang, Yuxin
Fang, Chuanqin
Qu, Ping
Cao, Lei
author_sort Dai, Ming
collection PubMed
description 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.
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spelling pubmed-83158892021-07-31 Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression Dai, Ming Wei, Qiyao Zhang, Yuxin Fang, Chuanqin Qu, Ping Cao, Lei Comput Math Methods Med Research Article 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. Hindawi 2021-07-19 /pmc/articles/PMC8315889/ /pubmed/34335867 http://dx.doi.org/10.1155/2021/8361504 Text en Copyright © 2021 Ming Dai et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Dai, Ming
Wei, Qiyao
Zhang, Yuxin
Fang, Chuanqin
Qu, Ping
Cao, Lei
Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression
title Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression
title_full Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression
title_fullStr Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression
title_full_unstemmed Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression
title_short Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression
title_sort predictive value of red blood cell distribution width in poststroke depression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8315889/
https://www.ncbi.nlm.nih.gov/pubmed/34335867
http://dx.doi.org/10.1155/2021/8361504
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