Investigating the association between various platelet indices and different clinical sub-groups of severe malaria.

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Abdullah Algın, Serdar Özdemir, Ebubekir Arslan, Abuzer Özkan
{"title":"Investigating the association between various platelet indices and different clinical sub-groups of severe malaria.","authors":"Abdullah Algın, Serdar Özdemir, Ebubekir Arslan, Abuzer Özkan","doi":"10.4314/mmj.v35i1.2","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>To evaluate the ability of platelet count, mean platelet volume, platelet distribution width, and platelet mass index to predict the severity of malaria.</p><p><strong>Materials and methods: </strong>This study was conducted as a retrospective cohort study at a tertiary hospital in Somali. Patients grouped as severe and non-severe malaria. We compared groups in terms of platelet count, mean platelet volume, platelet distribution width, and platelet mass index.</p><p><strong>Results: </strong>A total of 131 patients were included in the final analysis. Of the patients, 77 (58.7%) had non-severe malaria, and 54 (41.3%) had severe malaria. The multivariate analysis revealed that there was no significant difference between the groups in terms of platelet count, mean platelet volume, platelet distribution width, and platelet mass index (p: 0.183, 0.323, 0.204, and 0.139, respectively). In the receiver operating characteristic analysis, the area under the curve values for platelet count, mean platelet volume, platelet distribution width, and platelet mass index were 0.699, 0.619, 0.504, and 0.675, respectively.</p><p><strong>Conclusion: </strong>Of the platelet indices, platelet count, mean platelet volume, platelet distribution width, and platelet mass index were not clinically significant markers that could be used to predict the severity of malaria.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645904/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4314/mmj.v35i1.2","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Aim: To evaluate the ability of platelet count, mean platelet volume, platelet distribution width, and platelet mass index to predict the severity of malaria.

Materials and methods: This study was conducted as a retrospective cohort study at a tertiary hospital in Somali. Patients grouped as severe and non-severe malaria. We compared groups in terms of platelet count, mean platelet volume, platelet distribution width, and platelet mass index.

Results: A total of 131 patients were included in the final analysis. Of the patients, 77 (58.7%) had non-severe malaria, and 54 (41.3%) had severe malaria. The multivariate analysis revealed that there was no significant difference between the groups in terms of platelet count, mean platelet volume, platelet distribution width, and platelet mass index (p: 0.183, 0.323, 0.204, and 0.139, respectively). In the receiver operating characteristic analysis, the area under the curve values for platelet count, mean platelet volume, platelet distribution width, and platelet mass index were 0.699, 0.619, 0.504, and 0.675, respectively.

Conclusion: Of the platelet indices, platelet count, mean platelet volume, platelet distribution width, and platelet mass index were not clinically significant markers that could be used to predict the severity of malaria.

不同血小板指数与严重疟疾不同临床亚组的相关性研究
目的评价血小板计数、平均血小板体积、血小板分布宽度和血小板质量指数对疟疾严重程度的预测能力。材料和方法本研究是在索马里一家三级医院进行的回顾性队列研究。患者分为严重和非严重疟疾。我们比较各组血小板计数、平均血小板体积、血小板分布宽度和血小板质量指数。结果131例患者纳入最终分析。其中非重度疟疾77例(58.7%),重度疟疾54例(41.3%)。多因素分析显示,两组患者血小板计数、平均血小板体积、血小板分布宽度、血小板质量指数差异无统计学意义(p值分别为0.183、0.323、0.204、0.139)。在受试者工作特征分析中,血小板计数、平均血小板体积、血小板分布宽度和血小板质量指数曲线下面积分别为0.699、0.619、0.504和0.675。结论血小板指数中,血小板计数、平均血小板体积、血小板分布宽度和血小板质量指数均不能作为预测疟疾严重程度的临床指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信