身体活动预测中风后心肺健康:一个诊断准确性研究
Kevin Moncion1, Lynden Rodrigues, Bernat de Las Heras
1School of Physical & Occupational Therapy, Faculty of Medicine, McGill University, Montreal, Canada (K.M., L.R., B.D.L.H., M.R.); Memory and Motor Rehabilitation Laboratory (MEMORY-LAB), Feil and Oberfeld Research Centre, Jewish Rehabilitation Hospital, Montreal Center for Interdisciplinary Research in Rehabilitation (CRIR), Laval, Canada (K.M., L.R., B.D.L.H., M.R.); Department of Occupational Sciences and Occupational Therapy, Faculty of Medicine, University of British Columbia, Kelowna, Canada (E.W., K.S.N.); Centre for Chronic Disease Prevention and Management, Faculty of Medicine, University of British Columbia, Kelowna, Canada (E.W., K.S.N.); School of Health and Exercise Sciences, Faculty of Health and Social Development, University of British Columbia, Kelowna, Canada (K.S.N.); Department of Physical Therapy, University of British Columba and Centre for Aging SMART at Vancouver Coastal Health, Canada (J.J.E.); and School of Rehabilitation Sciences, Faculty of Health Sciences, McMaster University, Hamilton, Canada (A.T.).
身体残疾人身体活动量表 (PASIPD) 可以帮助临床医生选中风幸存者的心肺健康 (V·O 2峰值) 损害. 较高的PASIPD得分与中风后更好的VO2峰值水平显著相关.
科学领域:
- 康复医学 康复医学 康复医学
- 心血管健康 呼吸系统健康
- 神经学 神经学
背景情况:
- 卒中幸存者经常经历心肺呼吸能力受损 (V·O 2峰值).
- 在中风后的临床环境中,需要准确和高效的查工具来评估V·O2峰值.
- 身体残疾人身体活动量表 (PASIPD) 为评估身体活动水平提供了一个潜在的方法.
研究的目的:
- 评估PASIPD得分与中风后个体的V·O2峰值之间的关联.
- 确定PASIPD的诊断指标,以识别不同水平的V·O2峰值.
- 评估PASIPD作为一种具有成本效益的查工具,以评估中风幸存者的心肺健康.
主要方法:
- 一个随机对照试验 (RCT) 的二次分析,涉及85名参与者中风后.
- 使用后勤回归分析来检查PASIPD (MET-hours/day) 和V̇O 2峰值之间的关联.
- 尤登指数确定了PASIPD的切割点,以预测V·O2峰值分类 (≥15,≥12,≥18毫升/公斤/分钟).
主要成果:
- PASIPD的1个单位的增加与21%的V·O2峰值≥15mL/kg/min (aOR=1.21,P=.002) 的可能性增加显著相关.
- 在V·O2峰值≥15mL/kg/min (AUC=0.91) 时观察到出色的诊断准确性.
- 对于V·O2峰值≥12mL/kg/min,也发现了显著的关联,但对于≥18mL/kg/min,并没有发现.
结论:
- 在中风后的个体中,PASIPD与心肺呼吸能力 (V·O 2峰值) 有显著的关联.
- 临床医生可以利用PASIPD作为查工具来识别潜在的V·O2峰值障碍.
- 这种尺度为评估身体活动及其与中风后健康状况的关系提供了一种实用且易于使用的方法.
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