在使用国家索赔数据库的血友病A患者中,艾米齐祖马布在现实世界中的坚持和持久性
Janet S Lee1, Robert Schuldt1, Zhiyu Xia1
1Genentech, Inc., South San Francisco, CA.
Journal of managed care & specialty pharmacy
|February 4, 2026
概括
在美国,在患有血友病A (PwHA) 的人群中观察到艾米齐祖马布的高度坚持和持续性. 这些真实世界的数据显示了艾米齐祖马布治疗在血友病A管理中的有希望的结果.
科学领域:
- 血液学 血液学 血液学
- 药理学 药理学是指药理学的学科.
- 现实世界的证据.
背景情况:
- 在患有血友病A (PwHA) 的人群中,不坚持因子VIII (FVIII) 替代疗法是常见的,影响健康结果.
- 埃米齐祖马布是一种新型双特异性抗体,为PwHA提供了一种新的预防方案.
- 关于埃米齐祖马布的坚持和持续性的真实世界数据对于治疗决策至关重要.
研究的目的:
- 为了评估现实世界中的依从性和持续性,在美国PwHA的EMICIZUMAB.
- 评估FVIII在坚持使用埃米齐祖马布的用户中的使用情况.
主要方法:
- 使用美国健康计划索赔数据进行回顾性观察队列研究.
- 包括PwHA连续保险覆盖至少6个月的指数前和12个月的指数后.
- 坚持度以覆盖日数的比例来衡量 (PDC ≥80%);持久性定义为没有≥60天的治疗间隔.
主要成果:
- 包括280个PwHA;98%是男性,平均年龄26岁.
- 总体上,坚持率为76%,持久率为85%.
- 在加入PwHA (n=213) 的人中,57%没有FVIII索引后的索赔.
结论:
- 在真实世界的美国环境中,观察到埃米齐祖马布的高坚持和持久率.
- 在第一年开始使用埃米齐祖马布时,表现出良好的坚持和低停药率.
- 这些发现支持埃米齐祖马布作为PwHA的有效治疗选择.
相关概念视频
National Nursing Organizations I
3.1K
Nursing organizations assume a significant role in consistently developing the nursing profession through education, research studies, establishing practice standards, and reforming health policies. Typically, nursing organizations operate at the regional, national, and international levels. For example, the International Council of Nurses (ICN) represents more than 28 million nurses worldwide. In contrast, the American Nurses Association (ANA) is a membership organization representing nurses...
3.1K
Testing a Claim about Mean: Known Population SD
3.3K
A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
3.3K
National Nursing Organizations II
2.1K
Nursing organizations play a vital role in representing nurses working in specialized clinical settings, such as the American Association of Critical-Care Nurses (AACN).
The AACN emphasizes a healthy work environment through six standards to achieve an optimal patient outcome. The standards are appropriate staffing, meaningful recognition, collaboration, authentic leadership, effective communication, and decision-making. In addition, AACN provides certification programs, webinars, journals, and...
The AACN emphasizes a healthy work environment through six standards to achieve an optimal patient outcome. The standards are appropriate staffing, meaningful recognition, collaboration, authentic leadership, effective communication, and decision-making. In addition, AACN provides certification programs, webinars, journals, and...
2.1K
Testing a Claim about Population Proportion
4.0K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
4.0K
Testing a Claim about Standard Deviation
3.0K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
3.0K
Testing a Claim about Mean: Unknown Population SD
6.3K
A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
6.3K


