在急性缺血性中风中,血栓组成的性别差异
Ghil Schwarz1, Angelo Cascio Rizzo1, Amedeo Cervo2
1Department of Neurology and Stroke Unit ASST Grande Ospedale Metropolitano Niguarda Milan Italy.
Stroke (Hoboken, N.J.)
|January 23, 2026
概括
性别独立地影响白细胞 (WBC) 百分比在急性缺血性中风中. 性别之间的纤维素和红细胞 (RBC) 组成差异可能与红细胞计数有关,而不是性别本身.
科学领域:
- 神经学 神经学
- 病理学 病理学 病理学
- 生物医学工程 生物医学工程
背景情况:
- 血管内血栓切除术可以在急性缺血性中风中详细分析血栓组成.
- 血栓组成的变化会影响患者的治疗结果.
- 性别之间凝血生理学的已知差异要求对基于性别的血栓组成变异进行调查.
研究的目的:
- 调查从急性缺血性中风患者中瘤组织学组成的潜在基于性别的差异.
- 确定性别是否是血栓组成的独立预测因素.
主要方法:
- 对73名因急性缺血性中风接受内血管血栓切除术的患者进行了回顾性分析.
- 血栓被染色 (血素和欧) 以量化纤维素,红细胞和白细胞的百分比.
- 进行了单变量和多变量分析,并对相关变量进行了调整.
主要成果:
- 与女性 (33.8%) 相比,男性患者的红细胞百分比较高 (51.5%).
- 女性患者的纤维素 (58.3%) 和白血球 (6.5%) 的百分比高于男性 (分别为45.1%和4.4%).
- 多变量分析显示,性别作为WBC百分比的独立预测因素,而RBC数量独立预测了纤维素和红细胞百分比.
结论:
- 性别是白细胞 (WBC) 百分比的独立决定因素在急性缺血性中风中.
- 没有发现性别和纤维素或红细胞 (RBC) 百分比之间的独立关联,这表明红细胞计数的调解.
- 在研究血栓组成时,未来的研究应该纳入性别和基线实验室值.
相关概念视频
Solution Composition During Acid/Base Titrations
1.5K
The titration of a weak acid with a strong base results in the formation of water and the conjugate base of the acid. For instance, titrating acetic acid with sodium hydroxide leads to the formation of water and sodium acetate. A solution of acetic acid and sodium acetate constitutes a buffer whose relative concentration at different stages of the titration is indicated by the α values, which represent percentages of the weak acid and its conjugate base.
The α0 and α1 values...
The α0 and α1 values...
1.5K
Sex-linked Disorders
108.5K
Like autosomes, sex chromosomes contain a variety of genes necessary for normal body function. When a mutation in one of these genes results in biological deficits, the disorder is considered sex-linked.
108.5K
Classifying Matter by Composition
89.9K
Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures.
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated.
A mixture is composed of two or...
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures.
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated.
A mixture is composed of two or...
89.9K
Difference from Background: Limit of Detection
8.1K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
8.1K
Electric Potential and Potential Difference
5.6K
Suppose a positive test charge moves away from a positive static charge, then the Coulomb force does positive work, and its electric potential energy decreases. The potential energy per unit charge is defined as the electric potential. The electric potential is independent of the test charge.
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
5.6K
Identifying Statistically Significant Differences: The F-Test
3.3K
The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
3.3K


