一个竞争风险持续时间模型来研究法国MSM中PrEP停止:ERAS 2023研究
Clément Boutet1, Marion Di Ciaccio2,3, Bruno Spire2
1Aix Marseille Univ, Inserm, IRD, SESSTIM, Sciences Economiques & Sociales de la Santé & Traitement de l'Information Médicale, Marseille, France. clement.boutet@ird.fr.
AIDS and behavior
|April 29, 2025
概括
艾滋病毒暴露前预防药物 (PrEP) 的高中止率限制了其有效性. 这项研究没有发现同性恋和双性恋男性中PrEP疲劳的证据,这表明特定的因素导致停止服用.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 性健康 性的健康
背景情况:
- 艾滋病毒暴露前预防药物 (PrEP) 的高停止率降低了其在风险人群中的有效性.
- 了解PrEP停药的原因对于改善艾滋病毒预防策略至关重要.
研究的目的:
- 调查法国与男性发生性关系的同性恋和双性恋男性 (GBMSM) 中PrEP停药的原因.
- 确定与PrEP停药的不同原因相关的因素,并评估PrEP疲劳.
主要方法:
- 来自法国在线调查Enquête Rapport au Sexe 2023的数据分析,其中包括4819个GBMSM.
- 构建"PrEP持续时间"和三个类别的"PrEP停用原因"变量 (性行为变化,停用愿望,临床原因).
- 应用Weibull加速失效时间模型与竞争风险来分析停产因素和持续时间依赖.
主要成果:
- 平均PrEP持续时间为19个月.
- 当PrEP在性健康结构中启动时,由于行为变化而中止的可能性较小.
- 在血清阳性率较低的地区,停止PrEP的愿望更有可能发生,在较小的市镇中,临床原因更为常见.
- 负持续时间依赖表明更长时间使用PrEP的中止概率较低.
结论:
- 在GBMSM中没有发现PrEP疲劳的证据.
- 特定的因素,而不是一般的疲劳,与PrEP停用有关.
- 需要针对行为,地理和临床因素进行量身定制的干预措施,以改善PrEP的坚持和有效性.
相关概念视频
Assumptions of Survival Analysis
56
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
56
Censoring Survival Data
40
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
40
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
106
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
106
Comparing the Survival Analysis of Two or More Groups
84
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
84
Introduction To Survival Analysis
114
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
114
Hazard Rate
73
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
73


