Literature DB >> 31194963

Evaluation of complete blood count parameters in cardiovascular diseases: An early indicator of prognosis?

Habib Haybar1, Seyed Mohammad Sadegh Pezeshki2, Najmaldin Saki3.   

Abstract

BACKGROUND: Studies have been conducted to evaluate the correlation between complete blood count (CBC) indices and cardiovascular diseases (CVDs). Considering the dispersion of these studies as well as reports on prognostic value of CBC parameters in CVDs, we have summarized these findings as a review article for the first time.
METHODS: Relevant English language literature was searched and retrieved from Google Scholar search engine and PubMed database (1996-2018). We used "Complete blood count", "Cardiovascular disease", "Red cell distribution width", and "Mean platelet volume" as keywords.
RESULTS: Numerous studies indicated that red cell distribution width (RDW) is an independent prognostic biomarker in relation to CVD diseases. MPV is another considerable prognostic biomarker for CVDs. Elevations of inflammatory markers such as neutrophil to lymphocyte ratio (NLR) in CVD patients (especially in myocardial infarction and heart failure) can be considered as a factor of poor prognosis.
CONCLUSIONS: RDW can be used as a valuable independent biomarker to investigate the prognosis of patients with heart failure (HF), atherosclerosis, myocardial infarction (MI), and other CVDs. Rapid and stable increase in MPV makes it a reliable prognostic/diagnostic parameter in CVDs such as MI and unstable angina. Among different inflammatory markers the evaluation of total white blood cell count, NLR, monocyte to high-density lipoprotein ratio (MHR) and platelet to lymphocyte ratio (PLR) may have a high value in predicting the prognosis of different CVDs including MI, HF and atherosclerosis in patients.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cardiovascular disease; Complete blood count; Mean platelet volume; Red cell distribution width

Mesh:

Substances:

Year:  2019        PMID: 31194963     DOI: 10.1016/j.yexmp.2019.104267

Source DB:  PubMed          Journal:  Exp Mol Pathol        ISSN: 0014-4800            Impact factor:   3.362


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