简化评分系统的验证,用于评估皮肤疾病活性在皮肤肌炎
Nantakarn Pongtarakulpanit1, Anuradha Bishnoi2, Tanya Chandra3
1Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; and Division of Allergy, Immunology and Rheumatology, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Clinical and experimental rheumatology
|February 12, 2026
概括
简化版的皮肤皮质肌肉炎疾病区域和严重性指数 (CDASI) 活动评分显示,它有望用于评估皮肤肌肉炎 (DM) 患者的皮肤皮疹. 这些新的评分在临床评估中提供了有利的有效性,可靠性和响应性.
科学领域:
- 皮肤病学 皮肤病学
- 类风湿病学 类风湿病学
- 临床结果测量临床结果测量
背景情况:
- 皮肤皮质肌肉炎疾病区域和严重性指数 (CDASI) 是临床医生对皮肤肌肉炎 (DM) 皮肤活动的标准评分指标.
- 完整的CDASI需要专门的专业知识和培训,以准确管理.
- 需要简化,验证的工具来评估DM的皮肤活动.
研究的目的:
- 为了验证CDASI活动评分的简化版本,以评估皮肤肌肉炎的皮肤表现.
- 评估这些简化得分的有效性,可靠性和响应性.
主要方法:
- 成年DM患者被前性地注册为两次诊所访问,至少两个月的间隔.
- 两位风湿病学家独立评估了患者,使用完整的CDASI活动评分和肌炎疾病活动评估工具皮肤视觉模拟尺度 (MDAAT皮肤VAS).
- 通过减少评分参数的复杂性,包括红血,和评估,通过简化CDASI (sCDASI) 的四个版本来得出.
主要成果:
- 这项研究包括27名DM患者.
- 所有四个简化的CDASI得分都与完整的CDASI,MDAAT皮肤VAS和Skindex问卷表表现出强烈的相关性,表明良好的融合有效性.
- 在所有简化版本中都观察到高的inter-rater可靠性,并且sCDASI分数的变化与完整的CDASI和MDAAT皮肤VAS的变化相关,显示出良好的响应性.
结论:
- 简化的CDASI评分提供了有利的有效性,可靠性和响应性的初步证据.
- 这些简化措施可能有助于对皮肤肌肉炎患者皮肤皮疹的纵向评估.
- 进一步的验证可能会支持在临床实践中使用简化的CDASI.
更多相关视频
相关概念视频
Reliability and Validity
14.1K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.1K
Introduction to z Scores
11.3K
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...
z scores...
11.3K
Introduction to z Scores
1.4K
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...
z scores...
1.4K
z Scores and Area Under the Curve
19.6K
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
Modified-Release Drug Delivery Systems: Stimuli-Activated
1
Stimuli-activated drug delivery systems are designed to release drugs in response to specific physical, chemical, or biological stimuli. These systems often utilize hydrogels—three-dimensional, hydrophilic polymer networks capable of swelling in aqueous environments and retaining significant fluid volumes. Upon exposure to particular stimuli, these hydrogels undergo structural transitions that allow the embedded drug to be released. Due to this adaptive behavior, such systems are also...
1
z Scores and Unusual Values
11.1K
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...
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...
11.1K


