医学
物理疗法
生活质量(医疗保健)
逻辑回归
可视模拟标度
前瞻性队列研究
骨矿物
回归分析
痴呆
队列研究
骨质疏松症
物理医学与康复
内科学
疾病
机器学习
计算机科学
护理部
作者
Takuya Umehara,Ayaka Inukai,Daisuke Kuwahara,Ryo Kaneyashiki,Akinori Kaneguchi,Miwako Tsunematsu,Masayuki Kakehashi
标识
DOI:10.14423/smj.0000000000001235
摘要
Objectives This study aimed to identify factors, including physical functions and activities that affect quality of life (QOL) at discharge among patients with osteoporotic vertebral fractures. Methods Patients with osteoporotic vertebral fractures were included in our prospective cohort study. Multiple regression analysis was performed to determine the predictors of QOL at discharge using two models: model 1, basic medical information and physical functions at admission, and model 2, basic medical information, physical function, and activity after 4 weeks of admission. Results Multiple regression analysis (standard partial regression coefficients) using model 1 identified L2 to L4 bone mineral density (-0.2), Visual Analog Scale for pain during activity at admission (-0.31), and Revised Hasegawa Dementia Scale (HDS-R) score at admission (0.64) as factors affecting QOL at discharge. Multiple regression analysis using model 2 identified HDS-R at admission (0.64), Pain Catastrophizing Scale score at 4 weeks (-0.34), and knee extension muscle strength at 4 weeks (0.28) as factors affecting QOL at discharge. Conclusions Our results suggest that if patients have high bone mineral density, intense pain, and low cognitive function at admission, then low QOL at discharge will be predicted; however, improvement of pain catastrophizing and knee extension muscle strength during first the 4 weeks of admission may be able to improve QOL at discharge. Because patients in this study were Japanese only, it is important to exercise caution when applying our results to other populations.
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