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相关概念视频

Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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, controlled...
Dosage Regimen Designs: Nomograms and Tabulations01:23

Dosage Regimen Designs: Nomograms and Tabulations

Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration01:28

Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration

Glomerular filtration rate (GFR) can be estimated from serum creatinine using the modification of diet in renal disease (MDRD) formula or the chronic kidney disease–epidemiology collaboration (CKD–EPI) equation. Both methods are widely used in clinical practice to assess kidney function and guide treatment decisions.The MDRD equation does not require weight or height measurements and is normalized to the body surface area of 1.73 m², considered the average adult surface area. This equation is...
Actuarial Approach01:20

Actuarial Approach

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,...
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

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,...

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Updated: Jun 14, 2026

The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
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使用常规患者数据估计参考变化值:一种新的病理数据库方法.

Eirik Åsen Røys1,2, Kristin Viste1,2, Ralf Kellmann1

  • 1Hormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway.

Clinical chemistry
|November 4, 2024
PubMed
概括
此摘要是机器生成的。

使用常规患者数据计算参考变化值 (RCV) 的新方法提供了比传统方法更具临床相关性的结果. 这种方法通过考虑患者测试中的现实世界的变化来增强实验室实践.

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科学领域:

  • 临床化学 临床化学
  • 实验室医学 实验室医学
  • 生物标记分析 生物标记分析

背景情况:

  • 传统的基准变化值 (RCVs) 计算使用主体内生物变化 (CVI) 和分析变化 (CVA) 不包括分析前变化或患者特定的CVI.
  • 这种遗漏导致RCVs可能不准确地反映常规临床实践或与临床医生的期望保持一致.
  • 建议采用一种新的方法,直接从例行患者数据中提取RCV,以提高临床相关性.

研究的目的:

  • 开发和验证一种使用例行患者数据估计参考变化值 (RCV) 的新方法.
  • 评估从当地实验室数据中得出的RCVs与传统方法相比的临床相关性.
  • 为了证明这种新方法在不同结果分布的各种生物标志物的适用性.

主要方法:

  • 使用refineR算法从从实验室信息系统 (LIS) 获得的连续患者数据计算RCV.
  • 该模型在表现出不同结果比率分布的生物标志物上进行了测试,从正常到日志正常.
  • 结果与基于常规公式的RCV进行了比较,并使用蒙特卡洛模拟进行了验证.

主要成果:

  • 来自LIS数据的RCVs报告了多种生物标志物,包括11-deoxycortisol,17-hydroxyprogesterone,albumin,androstenedione,cortisol,cortisone,creatinine,酸盐和.
  • 基于公式的RCV估计显示了可比但略低的值.
  • 蒙特卡洛模拟证实了LIS数据驱动的RCV方法的有效性和适用性.

结论:

  • 参考变化值 (RCV) 可以有效地直接从患者结果中估计,而不需要对连续结果比率的分布做假设.
  • 这种方法使实验室能够建立根据其特定的当地实践和患者群体量身定制的RCV.
  • 拟议的方法为在常规实验室诊断中进行RCV确定提供了更实用和临床相关的替代方案.