年龄分布
该数据集提供了射血分数降低的心力衰竭患者的年龄分布数据,用于分析虚拟病房治疗优化效果。

基本信息
资源简介
年龄分布
【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 retrospective study employed、reduced ejection fraction、potential innovative solution、optimal medical therapy、left ventricular dysfunction,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《Age distribution.》。源站首次发布:2025-06-05。
【数据内容】
源站原始描述:Heart failure with reduced ejection fraction is a chronic, progressive medical condition affecting millions of individuals worldwide. It is associated with high morbidity and mortality. The use of “foundational quadruple therapy” titrated to the maximum tolerated doses improves survival, quality of life, and reduces heart failure-related hospitalisation. Despite this evidence, there is a consistent trend of suboptimal dose up-titration, prolonged optimisation periods, and early therapy discontin…
中文译文(机器翻译,仅供快速理解,请以原文为准):射血分数降低的心力衰竭是一种慢性、进行性疾病,影响全球数百万人。它与高发病率和高死亡率相关。将“基础四联疗法”滴定至最大耐受剂量可提高生存率和生活质量,并减少心力衰竭相关住院。尽管有这些证据,仍持续存在剂量上调不理想、优化周期延长和早期停用治疗的趋势。虚拟病房通过将快速药物优化与远程监测相结合,为改善患者结局提供了转变心力衰竭管理的潜在创新解决方案。这项回顾性研究采用单组前后设计,评估处方药师在虚拟病房环境中对射血分数降低的心力衰竭患者快速上调指南导向的药物治疗(GDMT)的有效性。该研究评估了86例患者在基线时、从虚拟病房出院后(通常为4周后)以及出院后3–6个月时的临床结局。NYHA评分、心脏收缩功能和最佳药物治疗(OMT)评分均有所改善。左心室射血分数中位数从基线的29%增至优化后的39%,表明心肌功能改善,左心室功能障碍严重程度降低。优化后,37%的患者达到OMT最佳评分8分,52%达到可接受评分(5–7分),仅5%仍处于次优范围(0–4分)。此外,84%的患者被处方了全部四种基础治疗。低血压、心动过缓或高钾血症等不良事件未见明显增加。在虚拟病房环境中远程上调心力衰竭药物是一种有前景的方法,为原本治疗不足的患者提供了一种快速、可行、安全且有效的治疗解决方案。
【数据结构与技术规格】
文件数 1 个,合计 5.63 KB。Table 3.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pdig.0000868.t003。
【主题与分类】
源站学科分类:Space Science、Medicine、Pharmacology、Sociology。主题标签:retrospective study employed、reduced ejection fraction、potential innovative solution、optimal medical therapy、left ventricular dysfunction、improve patient outcomes、four foundational therapies、efficient treatment solution、early therapy discontinuation、cardiac systolic function。
【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/Age_distribution_/29249056
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Alhakem, Hussein; Murphy, Angela; Fusco, Liuba; McQueen, Grant; Pearse, Sarah; Barrett, Jodian; et al. (2025). Age distribution.. PLOS Digital Health. 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:Age distribution.
- DOI:10.1371/journal.pdig.0000868.t003
- 发布日期:2025-06-05
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Age_distribution_/29249056
命令行下载
curl -L -o "Table 3.xls" "https://ndownloader.figshare.com/files/55156015"
文件清单
Table 3.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
Heart failure with reduced ejection fraction is a chronic, progressive medical condition affecting millions of individuals worldwide. It is associated with high morbidity and mortality. The use of “foundational quadruple therapy” titrated to the maximum tolerated doses improves survival, quality of life, and reduces heart failure-related hospitalisation. Despite this evidence, there is a consistent trend of suboptimal dose up-titration, prolonged optimisation periods, and early therapy discontinuation. Virtual wards offer a potential innovative solution in transforming heart failure management by combining rapid medication optimisation with remote monitoring to improve patient outcomes. This retrospective study employed a single-group pre-post design to evaluate the effectiveness of a prescribing pharmacist in the rapid uptitration of Guidelines Directed Medical Therapy (GDMT) in patients with heart failure with reduced ejection fraction within a virtual ward setting. The study assessed clinical outcomes of 86 patients at baseline, following discharge from the virtual ward (typically after 4 weeks), and at 3–6 months post-discharge. Improvements were seen in NYHA scores, cardiac systolic function, and Optimal Medical Therapy (OMT) scores. The median Left Ventricular Ejection Fraction increased from 29% at baseline to 39% post-optimisation, signifying improved myocardial performance and a reduction in the severity of left ventricular dysfunction. Post-optimisation, 37% of patients attained an optimal OMT score of 8, 52% attained an acceptable score (5–7), and only 5% remained in the suboptimal range (0–4). Additionally, 84% of patients were prescribed all four foundational therapies. There was no notable increase in adverse events such as hypotension, bradycardia, or hyperkalaemia. Remote up-titration of heart failure medications within a virtual ward environment is a promising approach, offering a fast, feasible, safe, and efficient treatment solution for patients who are otherwise undertreated.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pdig.0000868.t003(source: https://plos.figshare.com/articles/dataset/Age_distribution_/29249056)。
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