Suppr超能文献

红细胞分布宽度作为多项临床研究中的新型预后标志物。

Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies.

作者信息

Yousefi Bahman, Sanaie Sarvin, Ghamari Ali A, Soleimanpour Hassan, Karimian Ansar, Mahmoodpoor Ata

机构信息

Department of Clinical Biochemistry, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Islamic Republic of Iran.

Department of Anesthesiology, Tabriz University of Medical Sciences, Tabriz, Islamic Republic of Iran.

出版信息

Indian J Crit Care Med. 2020 Jan;24(1):49-54. doi: 10.5005/jp-journals-10071-23328.

Abstract

UNLABELLED

Red cell distribution width (RDW), which is a quantitative method applied for the measurement of anisocytosis, is the most reliable and inexpensive method for differentiation of iron deficiency anemia and thalassemia trait. An increase in its rate reflects a great heterogeneity in the size of red blood cells (RBCs). Recent studies have shown a significant relationship between RDW and the risk of morbidity and mortality in patients with multiple diseases. A strong association is established between changes in RDW and the risk of adverse outcome in patients with heart failure in multiple studies. In this review, we try to focus on the association and correlation between the increase in RDW and different outcomes of common diseases that may be related to RDW and based on the results of various studies, we are trying to introduce RDW as a diagnostic indicator for these diseases.

HOW TO CITE THIS ARTICLE

Yousefi B, Sanaie S, Ghamari AA, Soleimanpour H, Karimian A, Mahmoodpoor A. Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies. Indian J Crit Care Med 2020;24(1):49-54.

摘要

未标注

红细胞分布宽度(RDW)是一种用于测量红细胞大小不均一性的定量方法,是鉴别缺铁性贫血和地中海贫血特征最可靠且最经济的方法。其比率升高反映红细胞(RBC)大小存在很大异质性。近期研究表明,RDW与多种疾病患者的发病和死亡风险之间存在显著关联。多项研究证实,RDW的变化与心力衰竭患者不良结局的风险之间存在密切关联。在本综述中,我们试图聚焦于RDW升高与可能与之相关的常见疾病不同结局之间的关联和相关性,并基于各项研究结果,尝试将RDW作为这些疾病的诊断指标。

如何引用本文

Yousefi B,Sanaie S,Ghamari AA,Soleimanpour H,Karimian A,Mahmoodpoor A。红细胞分布宽度作为多项临床研究中的新型预后标志物。《印度重症医学杂志》2020;24(1):49 - 54。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e179/7050177/df35bbd40ad0/ijccm-24-49-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验