Role of Mean Platelet Volume (MPV) as a Prognostic Marker in Patients with Acute Kidney Injury

Author:

Singh Gurvinder1,Aloona Satpal2,Bains Maneesh2,Bains Rajneesh3

Affiliation:

1. Medical Officer Specialist, Medicine, CHC, Amargharh Nabha, Punjab, India

2. Department of Medicine, GMC Amritsar, Punjab, India

3. Medical Officer Specialist, Medicine, CH Nangal, Ropar, Punjab, India

Abstract

ABSTRACT This study aimed to investigate the prognostic significance of mean platelet volume (MPV) in 50 AKI patients. Blood samples were collected according to KDIGO guidelines, and complete blood counts, including MPV, were analyzed. Significant differences in MPV were observed among patients who recovered with or without dialysis and those who expired. A statistically significant difference was present in between the mean platelet count of patients recovered without dialysis, recovered with dialysis, and the expired patients. The Area Under Curve (AUC) for MPV scores was as high as 0.842. Indicating that in up to 84% of the pairs (death-survival) the models correctly estimated that the probability of survival was higher than that of death. MPV had an optimum cutoff point of score value <9.60 with a sensitivity of 80% and specificity of 91.11%. These findings suggested that MPV could serve as a cost-effective and superior tool to creatinine in early AKI detection.

Publisher

Medknow

Reference13 articles.

1. Acute kidney injury:Definition, pathophysiology and clinical phenotypes;Makris;Clin Biochem Rev,2016

2. Kidney disease improving global outcomes (KDIGO) clinical practice guideline for acute kidney injury;Kidney Int Suppl,2012

3. Acute kidney injury network:Report of an initiative to improve outcomes in acute kidney injury;Mehta;Crit Care,2007

4. Mean platelet volume on admission correlates with impaired response to thrombolysis in patients with ST-elevation myocardial infarction;Pereg;Platelets,2010

5. High platelet volume and increased risk of myocardial infarction:39,531 participants from the general population;Klovaite;J Thromb Haemost,2011

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3