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一份关于孟加拉国登革热发病率的综合血液学数据集。

A comprehensive hematological dataset for dengue incidence in Bangladesh.

作者信息

Nirob Md Asraful Sharker, Siam A K M Fazlul Kobir, Bishshash Prayma, Assaduzzaman Md, Haque Md Afzalul, Mahmud Arif

机构信息

Department of Computer Science and Engineering, Daffodil International University, Birulia, Daffodil Smart City, Dhaka 1216, Bangladesh.

Department of Medicine, Mymensingh Medical College Hospital, Mymensingh, Dhaka 2200, Bangladesh.

出版信息

Data Brief. 2025 May 14;60:111664. doi: 10.1016/j.dib.2025.111664. eCollection 2025 Jun.

DOI:10.1016/j.dib.2025.111664
PMID:40510643
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12159883/
Abstract

This study presents a comprehensive statistical and graphical analysis of hematological parameters in a cohort of 1523 dengue patients in a thorough search for the determination of the clinical features of dengue fever. The most important parameters were hemoglobin level, neutrophil and lymphocyte counts, and total platelet counts, whose statistical analysis has been conducted with the vision to clarify their role in dengue pathology. Statistical significance finds the key hematological parameters such as neutrophils, lymphocytes, monocytes, red blood cells, and RDW-CV to be strongly associated with dengue, and the same is borne out by their p-values. The gender, hemoglobin, MCH, and PDW are less strongly related, however. The consistency of results using T-tests as well as Z-tests strengthens the findings, highlighting significant markers while also pointing out how more intricate interactions would be uncovered using multivariate analysis. Subsequently, several data visualizations were constructed using box plots, violin plots, and pair plots. Hematological parameters in dengue positive and negative patients are somewhat disparate, as shown by box plots; positive patients presented with lower WBC and RBC counts and higher hemoglobin levels and monocyte percentages. Although females tend to have greater monocyte percentages and platelet counts and males tend to have overall greater hematocrit levels, violin plots do not indicate any gender differences in the majority of the blood parameters. The pair plot indicates that younger patients with lower hemoglobin are more likely to have positive dengue results, with some overlap between total WBC count and lymphocyte percentage. In conclusion, this database will be very useful and will provide a tremendous benefit to dengue research studies, public health initiatives, and better patient diagnosis and treatment methods.

摘要

本研究对1523例登革热患者的血液学参数进行了全面的统计和图形分析,以深入探寻登革热的临床特征。最重要的参数是血红蛋白水平、中性粒细胞和淋巴细胞计数以及血小板总数,对其进行统计分析旨在阐明它们在登革热病理中的作用。统计学显著性表明,中性粒细胞、淋巴细胞、单核细胞、红细胞和红细胞体积分布宽度变异系数等关键血液学参数与登革热密切相关,其p值也证实了这一点。然而,性别、血红蛋白、平均红细胞血红蛋白含量和血小板分布宽度的相关性较弱。使用t检验和z检验得出的结果具有一致性,强化了研究结果,突出了显著标志物,同时也指出了使用多变量分析将发现更复杂的相互作用。随后,使用箱线图、小提琴图和配对图构建了几种数据可视化图表。箱线图显示,登革热阳性和阴性患者的血液学参数存在一定差异;阳性患者的白细胞和红细胞计数较低,血红蛋白水平和单核细胞百分比较高。小提琴图显示,虽然女性的单核细胞百分比和血小板计数往往较高,男性的总体血细胞比容水平往往较高,但在大多数血液参数中未显示出性别差异。配对图表明,血红蛋白水平较低的年轻患者更有可能出现登革热阳性结果,白细胞总数和淋巴细胞百分比之间存在一些重叠。总之,该数据库将非常有用,将为登革热研究、公共卫生举措以及更好的患者诊断和治疗方法带来巨大益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08dc/12159883/6b101326495b/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08dc/12159883/479dc4252fad/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08dc/12159883/62e3051bc10f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08dc/12159883/d8c0237c38c4/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08dc/12159883/e3391ebd7305/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08dc/12159883/6b101326495b/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08dc/12159883/479dc4252fad/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08dc/12159883/62e3051bc10f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08dc/12159883/d8c0237c38c4/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08dc/12159883/e3391ebd7305/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08dc/12159883/6b101326495b/gr5.jpg

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本文引用的文献

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Severity prediction markers in dengue: a prospective cohort study using machine learning approach.登革热严重程度预测标志物:一项采用机器学习方法的前瞻性队列研究。
Biomarkers. 2024 Dec;29(8):557-564. doi: 10.1080/1354750X.2024.2430997. Epub 2024 Nov 28.
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A benchmark dataset for analyzing hematological responses to dengue fever in Bangladesh.一个用于分析孟加拉国登革热血液学反应的基准数据集。
Data Brief. 2024 Oct 15;57:111030. doi: 10.1016/j.dib.2024.111030. eCollection 2024 Dec.
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Dengue Hemorrhagic Fever in Quang Nam Province (Vietnam) from 2020 to 2022-A Study on Serotypes Distribution and Immunology Factors.
2020年至2022年越南广南省登革出血热——血清型分布与免疫因素研究
Diagnostics (Basel). 2024 Aug 14;14(16):1772. doi: 10.3390/diagnostics14161772.
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Complete Blood Count Values Over Time in Young Children During the Dengue Virus Epidemic in the Dominican Republic From 2018 to 2020.2018 年至 2020 年期间多米尼加共和国登革热疫情期间幼儿全血细胞计数随时间的变化。
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