相关实验视频
Updated: May 15, 2025

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
2.0K
对腹膜透析结果的洞察:使用竞争风险分析的方法
Ana Cunha1, Beatriz Gil Braga1, Sofia Sousa2
1Department of Nephrology, Centro Hospitalar Universitário de Santo António, Unidade Local de Saúde de Santo António, Porto, Portugal.
Seminars in dialysis
|April 15, 2025
概括
腹膜透析 (PD) 患者的主要风险是过渡到血液透析 (HD),这不受基线特征的影响. 选择PD-first积极影响移植 (KT) 获得,并保持低死亡率.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 临床流行病学临床流行病学
背景情况:
- 腹腔透析 (PD) 的结果是复杂的,因为结果各不相同.
- 分析PD患者的结果需要了解影响死亡率的因素,过渡到血液透析 (HD) 和移植 (KT).
研究的目的:
- 评估PD患者的死亡率,HD转移率和KT率.
- 为了确定影响这些PD结果的基线患者特征.
主要方法:
- 观察性,回顾性,基于注册的,单中心的队列研究.
- 包括722例发生的成人PD患者 (1985-2022年).
- 使用竞争风险分析 (累积发病率函数,精细和灰色模型).
主要成果:
- 60个月的最高概率是转移到HD (0.38),其次是KT (0.27) 和死亡 (0.19).
- 糖尿病与死亡率增加相关 (HR 1.71).
- 首先使用PD的方法降低了HD转移风险 (HR 0.76),并增加了KT的可能性 (HR 1.73).
- 血管通道作为PD原因与较高的死亡率相关 (HR 2.16).
结论:
- 过渡到HD是PD患者的主要风险,独立于基线因素.
- 一个PD-first策略增强了KT的获取,并确保了低,不受影响的死亡率,证实了PD的安全性.
- 血管接入驱动的PD启动与死亡率增加有关,可能是由于并发症.
相关概念视频
Dialysis
235
Renal failure occurs when the kidneys lose their ability to filter waste products from the blood effectively. It can be classified into two types: acute renal failure (ARF) and chronic renal failure (CRF).
Acute kidney injury develops suddenly and can be caused by pre-renal causes (e.g., hypovolemia, shock), intrinsic renal causes (e.g., acute tubular necrosis), or post-renal causes (e.g., urinary obstruction). In contrast, chronic renal failure progresses gradually over time and is often...
Acute kidney injury develops suddenly and can be caused by pre-renal causes (e.g., hypovolemia, shock), intrinsic renal causes (e.g., acute tubular necrosis), or post-renal causes (e.g., urinary obstruction). In contrast, chronic renal failure progresses gradually over time and is often...
235
Kaplan-Meier Approach
60
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
60
Comparing the Survival Analysis of Two or More Groups
92
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...
92
Cancer Survival Analysis
308
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
308
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
Actuarial Approach
49
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
49

