毕海平,冯建华,蔡雨星,等.脑卒中患者运动耐量影响因素的多重线性回归分析[J].中华物理医学与康复杂志,2021,43(10):885-889
扫码阅读全文
|
| 脑卒中患者运动耐量影响因素的多重线性回归分析 |
|
| |
| DOI：10.3760/cma.j.issn.0254-1424.2021.10.005 |
| 中文关键词: 脑卒中 运动耐量 峰值摄氧量 影响因素 |
| 英文关键词: Stroke Exercise tolerance Peak oxygen uptake Pulmonary ventilation |
| 基金项目:南京市医学科技发展项目(YKK17127) |
|
| 摘要点击次数: 4450 |
| 全文下载次数: 4891 |
| 中文摘要: |
| 目的 通过心肺运动试验(CPET)观察脑卒中患者运动耐量的恢复情况，并采用多重线性回归分析其独立影响因素。 方法 纳入2018年1月至2019年12月南京市第一医院康复医学科住院的脑卒中患者81例，收集所有患者的一般临床资料，与CPET的检测数据合并，建立数据集。以峰值摄氧量为因变量，以年龄、Brunnstrom分期、峰值功率、峰值心率、峰值呼吸交换比、峰值呼吸储备、峰值每分通气量、每分通气量-二氧化碳排出量斜率（ΔVE/ΔVCO2）、峰值潮气末二氧化碳分压为自变量，建立多重线性回归模型，使用SPSS25.0版统计软件对所得数据进行多重线性回归分析。 结果 纳入Brunnstrom分期的Ⅲ期、Ⅳ期和Ⅴ期以上脑卒中患者在年龄分布上依次减小（P＜0.001，F=24.057），而在峰值摄氧量（即运动耐量）方面依次增加（P<0.001，F=108.691）。以“逐步法”构建的多重线性回归模型显示，拟合的多重线性回归方程有统计学意义（F=100.228，P<0.001）；峰值功率［β=0.041，95%CI（0.020，0.062），P<0.001］、峰值心率［β=0.088，95%CI（0.063，0.113），P<0.001］、峰值每分通气量［β=0.11，95%CI（0.054，0.165），P<0.001］、ΔVE/ΔVCO2［β=-0.182，95%CI（-0.300，-0.064），P=0.003］四个自变量是脑卒中患者峰值摄氧量的独立影响因素。Durbin-Watson检验值为2.305，各观测值残差值相互独立；各自变量容忍度均＞0.2,方差膨胀因子（VIF）均＜5，可认为不存在多重共线性。 结论 脑卒中患者的骨骼肌做功能力、心功能、肺通气功能及心肺偶联的通气效率均是其运动耐量的独立影响因素。 |
| 英文摘要: |
| Objective To observe the recovery of exercise tolerance among stroke survivors using the cardiopulmonary exercise test (CPET) and analyze the factors influencing it. Methods A total of 81 stroke survivors hospitalized in the Department of Rehabilitation Medicine of our hospital in year 2018 and 2019 were selected. The general clinical data of all patients were collected retrospectively and combined with the data from CPET to establish a data set. Version 25.0 of the SPSS software was used for multiple linear regressions analysis, with the peak oxygen uptake as the dependent variable, and the age, Brunnstrom stage, peak power, peak heart rate, peak respiratory exchange ratio, peak breathing reserve, peak ventilation per minute, the slope of the VE-VCO2 curve (ΔVE/ΔVCO2) and peak end tidal partial pressure of carbon dioxide as independent variables. Results Stroke survivors at Brunnstrom stage III Ⅲ, Ⅳ and Ⅴ or higher decreased sequentially with their age, but their peak oxygen uptake increased gradually. The multiple linear regression model constructed by "stepwise method" showed that the fitted multiple linear regression equation was statistically significant (F=100.228, P<0.001). Moreover, the average peak power, peak heart rate, peak ventilation per minute and the slope of the VE-VCO2 curve were all found to be significant independent predictors of peak oxygen uptake in these stroke survivors. Conclusions Skeletal muscle power, cardiac function, pulmonary ventilation and ventilation efficiency are useful independent predictors of the exercise tolerance of stroke survivors. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
