基线特征

孕妇尿路感染诊断研究相关的基线特征数据集,涉及尿培养、镜检与尿液流式细胞术诊断比较。

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表格wbc )- cwurinary tract infectionsdemographic often resultsbacterial culture showed91 %) comparedurine flow cytometrysignificant health concernp gain valuep gain settingstudy enrolled 1pregnant women mayclinical diagnosis rate
Baseline characteristics

基本信息

模态
表格
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2026-10-11
版本
v1

资源简介

基线特征

【一句话概览】

本研究纳入1200名18至40岁女性,分为孕妇与非孕妇组,采用尿细菌培养、显微镜检查和尿液流式细胞术(UF)诊断尿路感染(UTI)。结果显示,孕妇UTI临床诊断率(40.91%)显著高于非孕妇(20.26%),但镜检和培养无显著差异。UF检测白细胞的假阳性率为30.43%,调整CR(WBC)-CW-FSC-P Gain值后降至9.45%。结论认为,UF的局限可能导致孕妇UTI发生率被高估,调整该参数可显著降低误诊率(来源 figshare,CC BY 4.0 许可)。

【数据集背景】

本数据集源站标题为《Baseline characteristics.》。源站首次发布:2024-09-23。

【数据内容】

源站原始描述:Introduction Urinary tract infections (UTIs) pose a significant health concern, particularly among pregnant women, for whom accurate diagnosis is essential. However, the use of Urine flow cytometry (UF) for detecting UTIs in this demographic often results in misdiagnosis. The objective of this study was to explore the reasons behind these diagnostic errors and to develop a strategy to minimize the rate of UTI misdiagnosis in pregnant women. Material and methods The study enrolled 1,200 women age…

【数据结构与技术规格】

文件数 1 个,合计 5.63 KB。Table 1.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0308253.t001。

【主题与分类】

源站学科分类:Cell Biology、Molecular Biology、Biotechnology、Mathematical Sciences not elsewhere classified、Developmental Biology、Cancer。主题标签:wbc )- cw、urinary tract infections、demographic often results、bacterial culture showed、91 %) compared、urine flow cytometry、significant health concern、p gain value、p gain setting、study enrolled 1。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Baseline_characteristics_/27090353

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Liu, Zhaojie; Liu, Dan; Su, Guangming; Yang, Wei (2024). Baseline characteristics.. PLOS ONE. Dataset

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/49369523"

文件清单

  • Table 1.xls(5.63 KB)

文件总体积 5.63 KB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Introduction
Urinary tract infections (UTIs) pose a significant health concern, particularly among pregnant women, for whom accurate diagnosis is essential. However, the use of Urine flow cytometry (UF) for detecting UTIs in this demographic often results in misdiagnosis. The objective of this study was to explore the reasons behind these diagnostic errors and to develop a strategy to minimize the rate of UTI misdiagnosis in pregnant women.
Material and methods
The study enrolled 1,200 women aged 18 to 40 years, categorized into pregnant and non-pregnant groups. UTIs were diagnosed using urine bacterial culture, microscopic examination, and UF, followed by statistical analysis to identify any discrepancies in diagnosis between the groups. Following the calibration of UF analyzer’s parameters, the most effective CR(WBC)-CW-FSC-P Gain setting for diagnosing UTIs in pregnant women through UF was ascertained by applying the Youden index.
Results
The clinical diagnosis rate of UTIs was significantly higher in pregnant women (40.91%) compared to non-pregnant women (20.26%). However, urine microscopy and bacterial culture showed no significant difference in the rates of UTIs between the two groups, suggesting a potential for misdiagnosis. The false-positive rate for WBCs detected by UF was 30.43%, and adjusting the CR(WBC)-CW-FSC-P Gain value of UF reduced the false-positive rate to 9.45%.
Conclusion
The incidence of UTIs in pregnant women may be overestimated because of the limitations inherent to UF. Adjusting the parameters of the UF analyzer, particularly the CR(WBC)-CW-FSC-P Gain value, can significantly reduce the rate of UTI misdiagnosis in pregnant women.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0308253.t001(source: https://plos.figshare.com/articles/dataset/Baseline_characteristics_/27090353)。

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