Association between Overall Survival and Activities of Daily Living in Patients with Spinal Bone Metastases

Author:

Akezaki YoshiteruORCID,Nakata EijiORCID,Kikuuchi Masato,Sugihara ShinsukeORCID,Katayama Yoshimi,Katayama Haruyoshi,Hamada Masanori,Ozaki Toshifumi

Abstract

Objective: This study aimed to investigate the association between overall survival (OS) and activities of daily living (ADL) in patients with skeletal-related events. In this study, 265 patients whose clinical parameters were available before radiotherapy were investigated. Methods: Age, sex, ADL, pain, the primary site, spinal level of bone metastases, spinal instability, treatment strategy, including chemotherapy or palliative treatment, and OS were investigated. ADL patients with a Barthel index of ≥90 were classified as the high ADL group, while those with a score < 90 were classified as the low ADL group. For OS, patients surviving ≥160 days were classified as the non-poor prognosis group, and those who survived <160 days were classified as the poor prognosis group. Results: Age, sex, ADL, pain, the primary site, and treatment strategy for OS were different between the two groups (p < 0.1). Logistic regression analysis revealed that ADL, the primary site, and treatment strategy were significant predictors of OS (p < 0.05). High ADL, breast cancer, and chemotherapy had a positive effect on OS. Conclusions: It is suggested that improvements may be obtained by performing rehabilitation interventions to maintain and improve ADL, by constructing a system for monitoring spinal bone metastases with images before ADL decreases, and by performing interventions such as changes in treatment methods such as RT or surgery at appropriate times.

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3