心力衰竭中的握手强度:开发一个参考方程
Suena Medeiros Parahiba1, Édina Caroline Ternus Ribeiro1, Ingrid da Silveira Knobloch2
1Programa de Pós-Graduação em Ciências da Saúde, Cardiologia e Ciências Cardiovasculares, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS - Brasil.
Arquivos brasileiros de cardiologia
|December 11, 2025
概括
这项研究开发了一个新的方程来预测心力衰竭患者的手握强度,使用年龄,性别,身高,小腿周长和NYHA类. 该方程为评估这一群体的肌肉力量提供了有价值的工具.
科学领域:
- 心脏病学 心脏病学
- 身体生理学 身体生理学
- 老年病的医生 老年病的医生
背景情况:
- 手握强度 (HGS) 是心力衰竭 (HF) 患者肌肉强度和功能能力的关键标志物.
- 目前,对于HF群体来说,没有HGS的特定参考方程.
研究的目的:
- 开发和验证适用于心力衰竭患者的HGS预测参考方程.
主要方法:
- 一项横截面研究涉及稳定的HF患者 (18-79岁).
- 测量HGS的最大值是连续三次尝试的最大值.
- 使用多变量回归模型来导出预测方程,数据分为导出 (n=174) 和验证 (n=100).
主要成果:
- 导出方程包括性别,年龄,身高,小腿周长,以及纽约心脏协会 (NYHA) 的类别.
- 预测的HGS=-39.732+ (10.771*性别) - (0.158*年龄) + (35.096*身高) + (0.448*小腿周长) - (4.224*NYHA类). 预测的HGS=-39.732+ (10.771*性别) - (0.158*年龄) + (35.096*身高) + (0.448*小腿周长) - (4.224*NYHA类). 预测的HGS=-39.732+ (10.771*性别) - (0.158*年龄) + (35.096*身高) + (0.448*小腿周长) - (4.224*NYHA类).
- 该方程表现出良好的预测准确性,在验证组中低估了实际的HGS仅为0.68±8.93Kg.
结论:
- 在HF患者中,HGS的关键决定因素包括年龄,性别,身高,小腿周长和NYHA类.
- 开发的方程为心力衰竭患者提供了对HGS的可靠预测.
- 这种工具可以帮助在这个临床组中解释握力评估.
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