Mean platelet volume in the differential diagnosis of tuberculous and bacterial meningitis

Author:

Camara-Lemarroy Carlos Rodrigo,Delgado-Garcia Guillermo,De la Cruz-Gonzalez Juan Gilberto,Villareal-Velazquez Hector Jorge,Gongora-Rivera Fernando

Abstract

Introduction: Mean platelet volume (MPV) has been shown to reflect the inflammatory burden in different inflammatory and autoimmune diseases. Our objective was to analyze the MPV in patients with tuberculous (TBM) and bacterial meningitis (BM). Methodology: The demographic and clinical data of 73 consecutive patients that presented with either BM (n = 35) or TBM (n = 38) were retrospectively analyzed, as well as that of 28 age- and sex-matched controls. Results: MPV was 8.78 ± 1.58 fL in patients with BM and 6.42 ± 1.39 fL in the TBM group (p < 0.05). In the control group, MPV was 7.4 ± 0.66 fL, significantly higher and lower when compared with TBM and BM, respectively. MPV was significantly associated with diagnosis (adjusted OR: 5.15, 95% CI: 1.090–23.7; p = 0.03). With the optimal cut-off value of 7.62 fL, MPV had 82% sensibility and 78% specificity for the differential diagnosis of TBM versus BM. Lower platelet counts, higher serum creatinine, higher white blood cell counts, and higher blood-cerebrospinal fluid glucose ratio were also predictive of BM. Conclusions: Platelet counts were lower and MPV was higher in patients with BM compared to patients with TBM.  Platelet indices, available in routine bloodwork, could be useful in the early differential diagnosis of these entities.

Publisher

Journal of Infection in Developing Countries

Subject

Virology,Infectious Diseases,General Medicine,Microbiology,Parasitology

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