相关实验视频

Updated: Feb 5, 2026

Author Spotlight: Advancements and Challenges in Machine Perfusion for Liver Transplantation
05:25

Author Spotlight: Advancements and Challenges in Machine Perfusion for Liver Transplantation

Published on: June 14, 2024

1.0K

简单的手术内得分,包括血栓等度参数,可以预测肝移植后出血的早期重新手术

Patricia Duque1,2, Teresa Sagredo1,2, Patricia Piñeiro1,2

  • 1Department of Anesthesiology and Intensive Care, Hospital General Universitario Gregorio Marañon, Madrid.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society
|February 3, 2026
PubMed
概括

粘弹性测试 (VEA) 有效地预测肝移植 (LT) 后出血的早期重新手术. 使用VEA和输血数据的新风险评分可以识别高风险患者,可能改善结果.

关键词:
血液凝固试验 血液凝固试验肝脏疾病 肝脏疾病后勤模型 后勤模型术后出血 术后出血重新启动的运行情况.有关风险因素的风险因素.通过thrombelastography,我们可以获得图像.

更多相关视频

Minimizing Post-Infusion Portal Vein Bleeding during Intrahepatic Islet Transplantation in Mice06:41

Minimizing Post-Infusion Portal Vein Bleeding during Intrahepatic Islet Transplantation in Mice

Published on: May 10, 2021

4.4K
New Thrombectomy Technique for Total Portal Vein Thrombosis in Liver Transplantation08:45

New Thrombectomy Technique for Total Portal Vein Thrombosis in Liver Transplantation

Published on: June 27, 2025

1.5K

相关概念视频

Bleeding in Fresh Concrete01:22

Bleeding in Fresh Concrete

Bleeding in fresh concrete occurs when water from the mix rises to the surface. This happens because the mix's solid components fail to retain all the water as they settle, leading to separation where water collects at the top. The severity of bleeding can be measured by assessing the total settlement or by noting the decrease in height per unit height of concrete.
Bleeding can cause several issues in the concrete structure. Sometimes, the rising water gets trapped beneath large aggregate...
591
Introduction to z Scores01:06

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
11.2K
Introduction to z Scores01:05

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
1.3K
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
19.6K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries
45.9K
z Scores and Unusual Values01:07

z Scores and Unusual Values

The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
 This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
11.0K