相关实验视频
Updated: Jan 31, 2026

16:49
Multifocal Electroretinograms
Published on: December 4, 2011
18.9K
48个月的全场电红外图 (ffERG) 与Vogt-Koyanagi-Harada病的基线视网膜功能障碍相关:一项纵向研究
Fernanda Maria Silveira Souto1, Ruy Felippe Brito Gonçalves Missaka2, Marcelo Mendes Lavezzo2
1Department of Ophthalmology, Hospital das Clinicas, HCFMUSP, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil. fernanda.souto@yahoo.com.br.
Documenta ophthalmologica. Advances in ophthalmology
|January 29, 2026
概括
在Vogt-Koyanagi-Harada (VKH) 疾病中,全场电网红图 (ffERG) 参数在一年内得到改善并稳定. 持续低于正常的ffERG与较差的基线功能和日落发光底部的发展相关.
科学领域:
- 眼科医生 眼科 眼科
- 神经科学是一个神经科学.
- 免疫学 免疫学 免疫学
背景情况:
- 沃格特-科亚纳吉-哈拉达病 (VKH) 是一种系统性炎症状况,会影响阴道管.
- 全场电视网膜图 (ffERG) 是评估视网膜功能在各种眼部疾病的关键诊断工具.
- 了解VKH疾病的长期功能恢复对于患者管理至关重要.
研究的目的:
- 在患有急性Vogt-Koyanagi-Harada (VKH) 疾病的患者中评估全场电网红图 (ffERG) 参数.
- 评估ffERG参数在4年随访期间的临床关联.
- 调查 ffERG 恢复与日落发光底部 (SGF) 发育之间的关系.
主要方法:
- 对21名患有急性VKH疾病的患者进行了回顾性队列研究.
- 在治疗开始后的基线,6个月,12个月和48个月进行的ffERG评估.
- 患者在48个月后被分为正常 ffERG (组1) 和不正常 ffERG (组2).
主要成果:
- 从基线到12个月的所有ffERG参数显著改善,随后稳定.
- 与第一组相比,第二组 (低于正常的ffERG) 的幅度持续下降,尽管复苏趋势相似.
- 在12个月后,Sunset Glow Fundus (SGF) 在第二组 (60.7%) 与第一组 (21.4%) 相比明显更频繁.
结论:
- 在VKH疾病中,视网膜功能在第一年内得到改善,然后稳定,而不依赖于治疗方式.
- 在48个月内持续低于正常的ffERG表明基线视网膜功能较差.
- 低于正常的ffERG与发展SGF的可能性增加有关.
相关概念视频
Longitudinal Research
13.3K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.3K
Longitudinal Studies
524
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
524
Correlations
35.9K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.9K
Correlation and Causation
42.5K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.5K
Correlation
15.1K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
15.1K
Correlation and Regression
3.4K
In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
3.4K

