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新的方程式估计了24小时的尿路肌氨酸分泌量
Gabriela Callo-Quinte1, Jorge Leonid Aching Samatelo2, Romildo Luiz Monteiro Andrade3
1Postgraduate Program in Public Health, Health Sciences Center, Federal University of Espírito Santo, Avenida Marechal Campos 1468, Bairro Maruípe, Vitória, ES, CEP 29.047-105, Brazil. gavizon7@hotmail.com.
Scientific reports
|July 2, 2025
概括
新的预测方程准确地估计了巴西成年人的24小时肌素分泌量. 这些经过验证的模型,考虑到体重,身高,年龄和性别,为评估功能提供了更好的临床实用性.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 临床化学 临床化学
- 生物统计学 生物统计学
背景情况:
- 准确估计24小时肌素分泌量对于评估功能和营养状况至关重要.
- 现有的预测方程可能对不同种群来说不是最佳的,需要局部验证和开发.
- 肌素分泌受诸如年龄,性别,身体组成和人类测量等因素的影响.
研究的目的:
- 开发和验证新的预测方程来估计24小时肌素分泌量,特别是在巴西成年人中.
- 为了比较不同的方程模型的性能,包括各种人类学和人口学变量.
- 为巴西的临床使用提供准确可靠的工具.
主要方法:
- 一项涉及330名来自维多利亚的巴西成年人的横截面研究,测量了人体测量,血压和血液分析.
- 用验证的24小时尿液采集来测量实际的肌素分泌量.
- 使用与交叉验证的最小绝对缩小和选择运算符 (LASSO) 回归来开发预测方程,考虑性别特定的模型.
主要成果:
- 该研究成功开发并验证了巴西成年人24小时肌素分泌的预测方程.
- 结合体重,年龄和身高的性别特定方程表现出强的表现,相关系数 (r) 从0.77到0.80.
- 开发的方程显示了更好的准确性和优于以前的模型,估计偏差最小.
结论:
- 新开发的预测方程对于估计巴西成年人口的24小时肌素分泌量是准确可靠的.
- 这些方程,特别是那些按性别分层并包括随时可用的变量如体重,年龄和身高的方程,具有实际的临床实用性.
- 这些发现支持使用这些验证的方程来更好地评估巴西的功能和营养状况.
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