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Characteristics of platelet-associated parameters and their predictive values in Chinese patients with affective disorders

OBJECTIVE: Platelets are increasingly considered to play an important role in inflammation and are being regarded as a putative bridge linking mental diseases and inflammatory response. Platelet-associated haematological parameters including mean platelet volume (MPV), platelet distribution width (P...

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Autores principales: Wei, Yanyan, Feng, Junhui, Ma, Jinbao, Chen, Dongning, Xu, Haiting, Yin, Lu, Chen, Jingxu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874305/
https://www.ncbi.nlm.nih.gov/pubmed/35216557
http://dx.doi.org/10.1186/s12888-022-03775-9
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author Wei, Yanyan
Feng, Junhui
Ma, Jinbao
Chen, Dongning
Xu, Haiting
Yin, Lu
Chen, Jingxu
author_facet Wei, Yanyan
Feng, Junhui
Ma, Jinbao
Chen, Dongning
Xu, Haiting
Yin, Lu
Chen, Jingxu
author_sort Wei, Yanyan
collection PubMed
description OBJECTIVE: Platelets are increasingly considered to play an important role in inflammation and are being regarded as a putative bridge linking mental diseases and inflammatory response. Platelet-associated haematological parameters including mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT), systemic immune-inflammation index (SII), platelet to lymphocyte ratio (PLR), platelet to albumin ratio (PAR) and red blood cell distribution width (RDW) to platelet ratio (RPR), have been recently investigated as simple, easily available, and inexpensive inflammatory markers. In this study, we aimed is to use large-scale clinical data to study platelet parameters in patients with affective disorders, to further investigate the predictive power of platelet parameters for major depressive disorder (MDD) and bipolar disorder (BD). METHODS: The retrospective, naturalistic, cross-sectional study analysed the data of 14,007 Chinese affective disorder patients, including 4,801 patients with first-episode MDD, 4,098 patients with recurrent MDD, 3,444 patients with BD manic episodes and 1,664 patients with BD depressive episodes. Meanwhile, 6,847 healthy subjects were served as the control group. The differences in the MPV, PDW, PCT, SII, PLR, PAR, RPR and albumin among different groups were compared, and the contributing factors for the occurrence of MDD or BD were analysed. RESULTS: There were significant differences in MPV, PDW, PCT, SII, PLR, RPR and albumin values among the study groups. In the subjects, patients experiencing BD manic episodes had the highest mean values of MPV and SII, patients experiencing BD depressive episodes had the lowest mean values of platelet counts and PAR, and patients with MDD had the highest mean values of PLR and RDW. The levels of MPV, PDW and albumin were independently correlated with MDD and BD, and they are important predictors for differentiating patients with MDD or BD from healthy controls. CONCLUSIONS: Our study demonstrated that different affective disorders have unique platelet parameter variation patterns, highlighting the role of platelet parameters and systemic inflammation in the pathophysiology of MDD and BD.
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spelling pubmed-88743052022-02-25 Characteristics of platelet-associated parameters and their predictive values in Chinese patients with affective disorders Wei, Yanyan Feng, Junhui Ma, Jinbao Chen, Dongning Xu, Haiting Yin, Lu Chen, Jingxu BMC Psychiatry Research OBJECTIVE: Platelets are increasingly considered to play an important role in inflammation and are being regarded as a putative bridge linking mental diseases and inflammatory response. Platelet-associated haematological parameters including mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT), systemic immune-inflammation index (SII), platelet to lymphocyte ratio (PLR), platelet to albumin ratio (PAR) and red blood cell distribution width (RDW) to platelet ratio (RPR), have been recently investigated as simple, easily available, and inexpensive inflammatory markers. In this study, we aimed is to use large-scale clinical data to study platelet parameters in patients with affective disorders, to further investigate the predictive power of platelet parameters for major depressive disorder (MDD) and bipolar disorder (BD). METHODS: The retrospective, naturalistic, cross-sectional study analysed the data of 14,007 Chinese affective disorder patients, including 4,801 patients with first-episode MDD, 4,098 patients with recurrent MDD, 3,444 patients with BD manic episodes and 1,664 patients with BD depressive episodes. Meanwhile, 6,847 healthy subjects were served as the control group. The differences in the MPV, PDW, PCT, SII, PLR, PAR, RPR and albumin among different groups were compared, and the contributing factors for the occurrence of MDD or BD were analysed. RESULTS: There were significant differences in MPV, PDW, PCT, SII, PLR, RPR and albumin values among the study groups. In the subjects, patients experiencing BD manic episodes had the highest mean values of MPV and SII, patients experiencing BD depressive episodes had the lowest mean values of platelet counts and PAR, and patients with MDD had the highest mean values of PLR and RDW. The levels of MPV, PDW and albumin were independently correlated with MDD and BD, and they are important predictors for differentiating patients with MDD or BD from healthy controls. CONCLUSIONS: Our study demonstrated that different affective disorders have unique platelet parameter variation patterns, highlighting the role of platelet parameters and systemic inflammation in the pathophysiology of MDD and BD. BioMed Central 2022-02-25 /pmc/articles/PMC8874305/ /pubmed/35216557 http://dx.doi.org/10.1186/s12888-022-03775-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wei, Yanyan
Feng, Junhui
Ma, Jinbao
Chen, Dongning
Xu, Haiting
Yin, Lu
Chen, Jingxu
Characteristics of platelet-associated parameters and their predictive values in Chinese patients with affective disorders
title Characteristics of platelet-associated parameters and their predictive values in Chinese patients with affective disorders
title_full Characteristics of platelet-associated parameters and their predictive values in Chinese patients with affective disorders
title_fullStr Characteristics of platelet-associated parameters and their predictive values in Chinese patients with affective disorders
title_full_unstemmed Characteristics of platelet-associated parameters and their predictive values in Chinese patients with affective disorders
title_short Characteristics of platelet-associated parameters and their predictive values in Chinese patients with affective disorders
title_sort characteristics of platelet-associated parameters and their predictive values in chinese patients with affective disorders
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874305/
https://www.ncbi.nlm.nih.gov/pubmed/35216557
http://dx.doi.org/10.1186/s12888-022-03775-9
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