相关实验视频
Updated: Jan 29, 2026

05:19
Surgical Models of Gastroesophageal Reflux with Mice
Published on: August 25, 2015
10.7K
在疑似胃食道逆流性疾病的pHoenix评分区分能力:一个大批量单中心外部验证
Arianna Vittori1,2, Giovanni Capovilla1,2, Luca Provenzano1,2
1Department of Surgery, Oncology and Gastroenterology, University of Padua, School of Medicine, Padova, Italy.
概括
与单独的AET总量相比,pHoenix评分通过更好地分类酸暴露时间 (AET) 来完善胃食道逆流病的诊断. 这一新得分减少了边界诊断,改善了接受24小时pH监测的患者的诊断准确性.
科学领域:
- 胃肠病学 胃肠病学
- 诊断医学 诊断医学
背景情况:
- 总酸暴露时间 (AET) 单独可以导致胃食道逆流症 (GERD) 评估中的不确的诊断.
- 为了提高诊断清晰度,pHoenix评分是通过对直立和仰卧AET进行不同的权重来开发的.
研究的目的:
- 为了比较pHoenix得分与AET总和DeMeester得分 (DMS) 的歧视性表现.
- 评估pHoenix评分在对接受24小时pH监测的患者酸暴露的分类中的有效性.
主要方法:
- 这是一项对500名患者进行的横截面研究,这些患者因怀疑GERD而接受了24小时的鼻腔 pH 监测.
- 在pHoenix得分计算: (%直立AET × 0.991) + (%卧卧AET × 1.286).
- 使用已确定的值和诊断准确度指标 (灵敏度,特异性,AUC) 进行pHoenix评分,总AET和DMS的比较.
主要成果:
- 菲尼克斯分数和AET总数确定了正常病例的相似比例.
- 与AET总数相比,pHoenix评分发现的病理病例显著增加 (40.4%vs. 30%) 和边界病例减少 (5.6%vs. 13.8%),边界诊断减少了59%.
- 该pHoenix得分表现出强的表现,AUC为0.995,相当于AET总值 (0.992).
结论:
- 该pHoenix评分提供了精细的酸暴露分类,提高了GERD评估的诊断准确性.
- 通过减少边界诊断,Phoenix得分可能会减少进一步调查的需要.
- 在疑似GERD患者中,pHoenix评分为解释24小时pH监测数据提供了有价值的工具.
相关概念视频
Gastroesophageal Reflux Disease I: Meaning and Pathophysiology
1.6K
Gastroesophageal Reflux Disease (GERD) involves the recurrent backflow of the stomach or duodenal contents into the esophagus, leading to troublesome symptoms and potential esophageal mucosal damage. Although GERD is often referred to as a disease, it is more accurately described as a syndrome, as it encompasses a range of symptoms and complications rather than a singular pathological entity, impacting a large number of individuals as the most prevalent upper gastrointestinal problem. Roughly...
1.6K
Gastroesophageal Reflux Disease II: Clinical Features and Management
920
Gastroesophageal reflux disease, or GERD, is a persistent medical condition that affects many individuals worldwide. Its clinical manifestations can vary greatly, making diagnosis and management challenging for healthcare professionals. The following is a comprehensive overview of the clinical manifestations, assessment, and management strategies for GERD.
Clinical Manifestations
GERD presents itself in a multitude of ways, with symptoms varying from person to person. The hallmark symptoms are...
Clinical Manifestations
GERD presents itself in a multitude of ways, with symptoms varying from person to person. The hallmark symptoms are...
920
Reliability and Validity
13.9K
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.
13.9K
Stereotypes, Prejudice, and Discrimination
95.4K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
95.4K
Introduction to z Scores
11.2K
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...
11.2K
Introduction to z Scores
1.3K
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...
1.3K

