患者特征
脓毒症患者临床特征数据,用于分析脓毒症相关血小板减少症影响因素。

基本信息
资源简介
患者特征
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 5.63 KB,主题涵盖 top significant variables、medical information mart、body mass index、iv ]) except、intensive care iv,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Patient characteristics.》。源站首次发布:2025-02-10。
【数据内容】
源站原始描述:Introduction Sepsis associated thrombocytopenia (SAT) is a common complication of sepsis. We designed this study to investigate factors influencing SAT. Methods Patients with sepsis (2984 in Peking union medical college hospital [PUMCH] database, 13165 in eICU Collaborative Research [eICU] database, 11101 in Medical Information Mart for Intensive Care IV [MIMIC-IV] database) were enrolled. Variables included basic information, comorbidities, and organ functions. Multi-variable logistic regressio…
中文译文(机器翻译,仅供快速理解,请以原文为准):引言 脓毒症相关血小板减少症(SAT)是脓毒症常见的并发症。我们设计本研究以探讨影响SAT的因素。 方法 纳入脓毒症患者(北京协和医院[PUMCH]数据库2984例,eICU协作研究[eICU]数据库13165例,重症监护医学信息库IV[MIMIC-IV]数据库11101例)。变量包括基本信息、合并症和器官功能。应用多因素logistic回归模型和人工神经网络模型确定与SAT相关的因素。 主要结果 年龄和体重指数(BMI)与SAT的发生率呈负相关(p值0.175和0.049[PUMCH],p值0.000和0.000[eICU],p值0.000和0.000[MIMIC-IV])。血液系统恶性肿瘤和其他恶性肿瘤与SAT的发生率呈正相关(p值0.000和0.000[PUMCH],p值0.000和0.000[eICU],p值0.000和0.020[MIMIC-IV]),但PUMCH数据库中其他恶性肿瘤与SAT的发生率呈负相关。去甲肾上腺素(NE)当量、总胆红素(TBIL)和肌酐与SAT的发生率呈正相关(p值0.000、0.000和0.011[PUMCH],p值0.028、0.000和0.013[eICU],p值0.028、0.000和0.027[MIMIC-IV])。PaO2/FiO2在PUMCH数据库中与SAT的发生率呈负相关(p值0.021[PUMCH]),而在MIMIC-IV数据库中与SAT的发生率呈正相关(p值0.000[MIMIC-IV])。PaO2/FiO2与SAT无相关性(p值0.111[eICU])。TBIL、血液系统恶性肿瘤、PaO2/FiO2和NE当量在三个数据集中均位列前五位显著变量。 结论 血液系统恶性肿瘤和其他恶性肿瘤与SAT的发生率呈正相关。NE当量、TBIL和肌酐与SAT的发生率呈正相关。TBIL、血液系统恶性肿瘤、PaO2/FiO2和NE当量在影响…
【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.0318887.t001。
【主题与分类】
源站学科分类:Medicine、Molecular Biology、Biotechnology、Mathematical Sciences not elsewhere classified、Developmental Biology、Cancer。主题标签:top significant variables、medical information mart、body mass index、iv ]) except、intensive care iv、eicu collaborative research、eicu ], p、pumch ], p、ne equivalents ranked、iv ]).。
【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/Patient_characteristics_/28383604
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Wang, Lu; Chen, Jieqing; Zhou, Xiang (2025). Patient characteristics.. PLOS ONE. Dataset
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。
免登录有偿下载
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)
- 源站标题:Patient characteristics.
- DOI:10.1371/journal.pone.0318887.t001
- 发布日期:2025-02-10
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Patient_characteristics_/28383604
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/52246006"
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
Sepsis associated thrombocytopenia (SAT) is a common complication of sepsis. We designed this study to investigate factors influencing SAT.
Methods
Patients with sepsis (2984 in Peking union medical college hospital [PUMCH] database, 13165 in eICU Collaborative Research [eICU] database, 11101 in Medical Information Mart for Intensive Care IV [MIMIC-IV] database) were enrolled. Variables included basic information, comorbidities, and organ functions. Multi-variable logistic regression models and artificial neural network model were applied to determine the factors related to SAT.
Main results
Age and body mass index (BMI) were inversely correlated with the incidence of SAT (p-value 0.175 and 0.049 [PUMCH], p-value 0.000 and 0.000 [eICU], p-value 0.000 and 0.000 [MIMIC-IV]). Hematologic malignancies and other malignancies were positively correlated with the incidence of SAT (p-value 0.000 and 0.000 [PUMCH], p-value 0.000 and 0.000 [eICU], p-value 0.000 and 0.020 [MIMIC-IV]) except other malignancies was inversely correlated with the incidence of SAT in PUMCH database. Norepinephrine (NE) equivalents, total bilirubin (TBIL) and creatinine were positively correlated with the incidence of SAT (p-value 0.000, 0.000 and 0.011 [PUMCH], p-value 0.028, 0.000 and 0.013 [eICU], p-value 0.028, 0.000 and 0.027 [MIMIC-IV]). PaO2 / FiO2 was inversely correlated with the incidence of SAT in PUMCH database (p-value 0.021 [PUMCH]), while it was positively correlated with the incidence of SAT (p-value 0.000 [MIMIC-IV]). PaO2 / FiO2 and SAT was not related (p-value 0.111 [eICU]). TBIL, hematologic malignancies, PaO2 / FiO2 and NE equivalents ranked in the top five significant variables in all three datasets.
Conclusions
Hematologic malignancies and other malignancies were positively correlated with the incidence of SAT. NE equivalents, TBIL and creatinine were positively correlated with the incidence of SAT. TBIL, hematologic malignancies, PaO2 / FiO2 and NE equivalents ranked in the top significant variables in factors influencing SAT.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0318887.t001(source: https://plos.figshare.com/articles/dataset/Patient_characteristics_/28383604)。
数据缺失?
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