Quality of life is dependent of how close your doctors can get you to 100% recovery. If you really want predictors you have to get away from all the scales/indexes they use. You have objective 3d scans of the dead and dying areas. That way you can pinpoint exactly how much destruction there was, none of this guessing, small, medium, large.
http://www.hqlo.com/content/13/1/118/
1
Department of Physical Medicine and Rehabilitation, Chang Gung Memorial
Hospital, Chiayi, No.6, Sec. W., Jiapu Rd., Puzih City 61363, Chiayi
County, Taiwan
2 School of Medicine, College of Medicine, Chang Gung University, Taoyuan, No.259, Wunhua 1st Rd., Taoyuan City 33302, Kuei-Shan Dist., Taiwan
3 Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Linkou, No.5, Fushing St. , Taoyuan City 33305, Kuei-Shan Dist., Taiwan
4 Graduate Institute of Early Intervention, College of Medicine, Chang Gung University, Taoyuan, No.259, Wunhua 1st Rd. , Taoyuan City 33302, Kuei-Shan Dist., Taiwan
5 Department of Industrial Engineering & Management, National Taipei University of Technology, No.1, Sec. 3, Zhongxiao E. Rd., Taipei City 10608, Daan Dist., Taiwan
2 School of Medicine, College of Medicine, Chang Gung University, Taoyuan, No.259, Wunhua 1st Rd., Taoyuan City 33302, Kuei-Shan Dist., Taiwan
3 Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Linkou, No.5, Fushing St. , Taoyuan City 33305, Kuei-Shan Dist., Taiwan
4 Graduate Institute of Early Intervention, College of Medicine, Chang Gung University, Taoyuan, No.259, Wunhua 1st Rd. , Taoyuan City 33302, Kuei-Shan Dist., Taiwan
5 Department of Industrial Engineering & Management, National Taipei University of Technology, No.1, Sec. 3, Zhongxiao E. Rd., Taipei City 10608, Daan Dist., Taiwan
Health and Quality of Life Outcomes 2015, 13:118
doi:10.1186/s12955-015-0314-5
The electronic version of this article is the complete one and can be found online at: http://www.hqlo.com/content/13/1/118
The electronic version of this article is the complete one and can be found online at: http://www.hqlo.com/content/13/1/118
| Received: | 18 March 2015 |
| Accepted: | 24 July 2015 |
| Published: | 5 August 2015 |
© 2015 Chen et al.
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Abstract
Background
Improving HRQOL is the desired outcome for patients with stroke undergoing inpatient
rehabilitation services. This study aimed to comprehensively identify the potential
health-related quality of life (HRQOL) predictors in patients with stroke undergoing
inpatient rehabilitation within the first year after stroke; thus far, such an investigation
has not been conducted.
Methods
We enrolled 119 patients (88 males, 31 females) with stroke, and examined 12 potential
predictors: age, sex, stroke type, stroke side, duration after onset, cognition (Mini-Mental
State Examination; MMSE), depression (Beck Depression Inventory-II), stroke severity
(National Institutes of Health Stroke Scale; NIHSS), upper- and lower-extremity motor
function scores of the Fugl–Meyer Assessment (FMA) scale, balance (Berg Balance Scale;
BBS), and functional status (Functional Independence Measure). HRQOL was measured
using Stroke Impact Scale (SIS) 3.0.
Results
NIHSS score predicted the strength domain and total SIS score (41.5 % and 41.7 % of
the variances, respectively). BBS score was a major predictor of mobility and participation/role
domains (48.6 % and 10 % of the variances, respectively). MMSE score predicted the
memory and communication domains (22.5 % and 36.3 % of the variances, respectively).
Upper extremity score of the FMA scale predicted the daily living/instrumental activities
of daily life and hand function domains (40.3 % and 20.6 % of the variances, respectively).
Stroke side predicted the emotion domain (11.6 % of the variance).
Conclusions
NIHSS, MMSE, BBS, FMA, and stroke side predicted most HRQOL domains. These findings
suggest that different factors predicted various HRQOL domains in patients with stroke.
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