相关实验视频

Updated: Jun 29, 2025

Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia
07:25

Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia

Published on: September 22, 2020

3.4K

LRINEC评分对中度至重度糖尿病足部感染下肢截肢的预测能力

Abdul Hameed1,2, Shahid Mehmood Khan1,2, Muhammad Tawab Khalil

  • 1Department of General Surgery, Combined Military Hospital, Rawalpindi, Pakistan.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
|April 5, 2024
PubMed
概括

死性筋膜炎 (LRINEC) 的实验室风险指标得分可以预测糖尿病足部感染的下肢截肢. 6.5或更高的得分表明高风险,有助于临床决策.

更多相关视频

High-Resolution Three-Dimensional Imaging of the Footpad Vasculature in a Murine Hindlimb Gangrene Model08:16

High-Resolution Three-Dimensional Imaging of the Footpad Vasculature in a Murine Hindlimb Gangrene Model

Published on: March 16, 2022

3.5K
A Modified Surgical Model of Hind Limb Ischemia in ApoE-/- Mice using a Miniature Incision05:47

A Modified Surgical Model of Hind Limb Ischemia in ApoE-/- Mice using a Miniature Incision

Published on: May 13, 2021

3.9K

相关概念视频

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
154