Literature DB >> 23848392

Mean corpuscular volume is associated with endothelial dysfunction and predicts composite cardiovascular events in patients with chronic kidney disease.

Yalcin Solak1, Mahmut Ilker Yilmaz, Mutlu Saglam, Seref Demirbas, Samet Verim, Hilmi Umut Unal, Abduzhappar Gaipov, Yusuf Oguz, Mehmet Kayrak, Kayser Caglar, Abdulgaffar Vural, Suleyman Turk, Adrian Covic, Mehmet Kanbay.   

Abstract

AIM: Mean corpuscular volume (MCV) is a measure of size of red blood cells. Recently a few studies showed an association of macrocytosis with all-cause mortality. We aimed to assess the relationship of MCV with cardiovascular (CV) morbidity and mortality in patients with chronic kidney disease (CKD), and the effect of MCV on endothelial function.
METHODS: This is an observational cohort study with a prospectively maintained cohort of patients with stage 1-5 CKD. Estimated glomerular filtration rate (eGFR), flow mediated dilatation (FMD) and laboratory values were measured at baseline. Multivariate linear and Cox regression analyses were used to predict independent associations of FMD and composite CV events, respectively.
RESULTS: A total of 309 patients were included in the study. In contrast to anaemia MCV did not show a significant change among CKD groups. MCV was an independent predictor of FMD in addition to serum haemoglobin, CRP, diabetes, systolic blood pressure (SBP) and eGFR. Median MCV value was 85 fl. Kaplan-Meier analysis showed that at 38 months the survival rate was 97.6% in the group with MCV < 85 compared to 81.6% in the arm with MCV ≥ 85 (P < 0.001, log-rank test). Cox regression analysis showed MCV as a predictor of composite CV events independent of major confounding factors.
CONCLUSION: This is the first study in the literature showing an independent association of MCV and FMD. Our results also determined MCV as an independent predictor of composite CV events independent of anaemia, inflammation, diabetes and eGFR in patients with CKD.
© 2013 Asian Pacific Society of Nephrology.

Entities:  

Keywords:  cardiovascular event; chronic kidney disease; flow mediated dilatation; mean corpuscular volume; prediction

Mesh:

Year:  2013        PMID: 23848392     DOI: 10.1111/nep.12130

Source DB:  PubMed          Journal:  Nephrology (Carlton)        ISSN: 1320-5358            Impact factor:   2.506


  20 in total

1.  Mean Corpuscular Volume and Mortality in Patients with CKD.

Authors:  Yao-Peng Hsieh; Chia-Chu Chang; Chew-Teng Kor; Yu Yang; Yao-Ko Wen; Ping-Fang Chiu
Journal:  Clin J Am Soc Nephrol       Date:  2017-01-31       Impact factor: 8.237

2.  Mean Corpuscular Volume and Mortality in Incident Hemodialysis Patients.

Authors:  Alissa Dratch; Carola-Ellen Kleine; Elani Streja; Melissa Soohoo; Christina Park; Jui-Ting Hsiung; Connie M Rhee; Yoshitsugu Obi; Miklos Z Molnar; Csaba P Kovesdy; Kamyar Kalantar-Zadeh
Journal:  Nephron       Date:  2019-01-09       Impact factor: 2.847

3.  Multiplicative interaction between mean corpuscular volume and red cell distribution width with target organ damage in hypertensive patients.

Authors:  Yu-Liang Zhan; Bin Zou; Ting Kang; Ling-Bing Xiong; Jin Zou; Yun-Feng Wei
Journal:  J Clin Lab Anal       Date:  2016-10-13       Impact factor: 2.352

4.  Relevance of uric acid and asymmetric dimethylarginine for modeling cardiovascular risk prediction in chronic kidney disease patients.

Authors:  Mehmet Kanbay; Baris Afsar; Dimitrie Siriopol; Hilmi Umut Unal; Murat Karaman; Mutlu Saglam; Tayfun Eyileten; Mustafa Gezer; Samet Verim; Yusuf Oguz; Abdulgaffar Vural; Alberto Ortiz; Richard J Johnson; Adrian Covic; Mahmut Ilker Yilmaz
Journal:  Int Urol Nephrol       Date:  2016-03-23       Impact factor: 2.370

5.  The mean corpuscular volume as a prognostic factor for colorectal cancer.

Authors:  Hidemasa Nagai; Norihiro Yuasa; Eiji Takeuchi; Hideo Miyake; Yuichiro Yoshioka; Kanji Miyata
Journal:  Surg Today       Date:  2017-08-09       Impact factor: 2.549

6.  Clinical Significance of Mean Corpuscular Volume in Patients With Locally Advanced Esophageal Squamous Cell Carcinoma.

Authors:  Hayato Watanabe; Kazuki Kano; Itaru Hashimoto; Hideaki Suematsu; Toru Aoyama; Takanobu Yamada; Takashi Ogata; Yasushi Rino; Takashi Oshima
Journal:  In Vivo       Date:  2022 Sep-Oct       Impact factor: 2.406

7.  Selected Hematological Biomarkers to Predict Acute Mortality in Emergency Department Patients. Recent Polish Hospital Statistics.

Authors:  Katarzyna Brzeźniakiewicz-Janus; Marcus Daniel Lancé; Andrzej Tukiendorf; Tomasz Janus; Mirosław Franków; Joanna Rupa-Matysek; Zuzanna Walkowiak; Lidia Gil
Journal:  Dis Markers       Date:  2020-07-16       Impact factor: 3.434

8.  Red Blood Cells Mean Corpuscular Volume (MCV) and Red Blood Distribution Width (RDW) Parameters as Potential Indicators of Regenerative Potential in Older Patients and Predictors of Acute Mortality - Preliminary Report.

Authors:  Katarzyna Brzeźniakiewicz-Janus; Joanna Rupa-Matysek; Andrzej Tukiendorf; Tomasz Janus; Mirosław Franków; Marcus Daniel Lancé; Lidia Gil
Journal:  Stem Cell Rev Rep       Date:  2020-08       Impact factor: 5.739

9.  Generalization and fine mapping of red blood cell trait genetic associations to multi-ethnic populations: The PAGE Study.

Authors:  Chani Jo Hodonsky; Claudia Schurmann; Ursula M Schick; Jonathan Kocarnik; Ran Tao; Frank Ja van Rooij; Christina Wassel; Steve Buyske; Myriam Fornage; Lucia A Hindorff; James S Floyd; Santhi K Ganesh; Dan-Yu Lin; Kari E North; Alex P Reiner; Ruth Jf Loos; Charles Kooperberg; Christy L Avery
Journal:  Am J Hematol       Date:  2018-06-15       Impact factor: 13.265

10.  Development and validation of hybrid Brillouin-Raman spectroscopy for non-contact assessment of mechano-chemical properties of urine proteins as biomarkers of kidney diseases.

Authors:  Abduzhappar Gaipov; Zhandos Utegulov; Rostislav Bukasov; Duman Turebekov; Pavel Tarlykov; Zhannur Markhametova; Zhangatay Nurekeyev; Zhanar Kunushpayeva; Alisher Sultangaziyev
Journal:  BMC Nephrol       Date:  2020-06-15       Impact factor: 2.388

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