严重肥胖及医疗减重对估算肾小球滤过率的影响

严重肥胖患者医疗减重前后肾功能指标(eGFR)变化的临床测量数据集,基于血清肌酐、胱抑素C等估算。

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DataCite Commons
2020-08-26 更新
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表格分类Creatinine and cystatin CImpaired Fasting Glucosetype 2 diabetesnormal glucose toleranceobesitykidney function testingNephrology and Urology
Severe obesity and the impact of medical weight loss on estimated glomerular filtration rate

基本信息

模态
表格
大小
0.000030012 GB
任务类型
分类
许可
CC0
创建/更新时间
2020-08-26
版本
v1

资源简介

严重肥胖及医疗减重对估算肾小球滤过率的影响

【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 30.01 KB,主题涵盖 Creatinine and cystatin C、Impaired Fasting Glucose、type 2 diabetes、normal glucose tolerance、obesity,可用于统计建模、特征工程与队列分析,CC0 许可开放获取。

【数据集背景】

本数据集源站标题为《Severe obesity and the impact of medical weight loss on estimated glomerular filtration rate》。项目资助方:University of Michigan O''Brien Kidney Translational Core Center。源站首次发布:2020-01-31。

【数据内容】

源站原始描述:Objective: To assess the impact of obesity, glucose tolerance, and weight loss on renal function, we measured serum creatinine and cystatin C and estimated glomerular filtration rate (GFR) indexed to 1.73m2 body surface area (BSA) and GFR indexed to actual BSA in subjects with normal and abnormal glucose tolerance before and up to 2 years after medical weight loss. Methods: We studied 146 subjects at baseline and 3-to-6 months after 18% reduction in weight; 43 were also studied at 2-years. GFR w…

主表 dataset for PLOSone 110819.csv 含 43 列、样本前 147 行结构完整。

【数据结构与技术规格】

文件数 1 个,合计 30.01 KB。dataset for PLOSone 110819.csv:text/plain,30.01 KB。数据集 DOI:10.6084/m9.figshare.11774520.v1。

【主题与分类】

源站学科分类:Nephrology and urology。主题标签:Creatinine and cystatin C、Impaired Fasting Glucose、type 2 diabetes、normal glucose tolerance、obesity、kidney function testing、Nephrology and Urology。

【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。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://figshare.com/articles/dataset/Severe_obesity_and_the_impact_of_medical_weight_loss_on_estimated_glomerular_filtration_rate/11774520

使用许可:CC0(https://creativecommons.org/publicdomain/zero/1.0/)。

规范引用:Rothberg, Amy E; mcewen, laura; Herman, William H (2020). Severe obesity and the impact of medical weight loss on estimated glomerular filtration rate. figshare. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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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。

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)

命令行下载

curl -L -o "dataset for PLOSone 110819.csv" "https://ndownloader.figshare.com/files/21488439"

文件清单

  • dataset for PLOSone 110819.csv(30.01 KB)

文件总体积 30.01 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

Objective:
To assess the impact of obesity, glucose tolerance, and weight loss on renal
function, we measured serum creatinine and cystatin C and estimated glomerular
filtration rate (GFR) indexed to 1.73m2 body surface area (BSA) and
GFR indexed to actual BSA in subjects with normal and abnormal glucose
tolerance before and up to 2 years after medical weight loss.

Methods: We
studied 146 subjects at baseline and 3-to-6 months after 18% reduction in
weight; 43 were also studied at 2-years.
GFR was estimated using the MDRD, CKD-EPICr, CKD-EPICysCr,
and the CKD-EPICys equations.

Results:
eGFR was consistently lower when creatinine-based rather than cystatin C-based
estimating equations were used. eGFR was lower when creatinine-based or
cystatin C-based equations were indexed to 1.73m2 BSA than when they
were indexed to actual BSA. eGFR indexed to actual BSA was more likely to
demonstrate hyperfiltration (eGFR ≥135 ml/min) than eGFR indexed to 1.73m2
BSA and decreased into the normal range with weight loss. eGFR was highest in
subjects with impaired fasting glucose but there was little difference in the
patterns of change in eGFR across groups by glucose tolerance status.

Conclusions:
With severe obesity, high fat-free mass and BSA result in low estimates of eGFR
indexed to 1.73m2 BSA, especially when creatinine-based estimating
equations are used. GFR indexed to actual BSA is approximately 50% higher. When
eGFR is indexed to actual BSA, many subjects display evidence of renal
hyperfiltration which improves with weight loss. In subjects with severe
obesity undergoing medical weight loss, estimating equations that use cystatin
C and are indexed to actual BSA may provide a more accurate assessment of renal
function.

许可

CC0

引用

学术使用请引用 DOI 10.6084/m9.figshare.11774520.v1(source: https://figshare.com/articles/dataset/Severe_obesity_and_the_impact_of_medical_weight_loss_on_estimated_glomerular_filtration_rate/11774520)。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

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