Jecmenica-Lukic Milica V, Pekmezovic Tatjana D, Petrovic Igor N, Dragasevic Natasa T, Kostić Vladimir S
Clinic of Neurology, School of Medicine, University of Belgrade, Ul. Dr Subotića 6, Belgrade, 11000, Serbia.
Institute of Epidemiology, School of Medicine, University of Belgrade, Belgrade, Serbia.
Acta Neurol Belg. 2018 Dec;118(4):589-595. doi: 10.1007/s13760-018-0962-4. Epub 2018 Jun 11.
The aim of this study was to identify the main contributors to the health-related quality of life (HRQoL) in multiple system atrophy with predominant parkinsonism (MSA-P) and to determine the usefulness of SF-36 in capturing the HRQoL changes over 1-year follow-up. A total of 45 MSA-P and 150 Parkinson's disease (PD) patients were studied. The hierarchical multiple regression analysis was conducted to identify predictors of the SF-36 total score. The magnitude of any change for the HRQoL over 1-year of follow-up, was calculated as an effect size. The average scores for each SF-36 domains, except for the bodily pain, were lower in MSA-P than in PD patients (p < 0.05). The most important predictors of HRQoL in MSA-P, were female gender, older age at onset, SCOPA-AUT score and UMSARS IV, which together with other selected clinical variables accounted for 84% of the variance in the total SF-36 score in the final model in hierarchical analyses. During the 1-year follow-up, the SF 36 was found capable of detecting changes in MSA-P. Our study provided some new insights into potential predictors of the HRQoL and its longitudinal changes in MSA-P, which should be considered when healthcare programs are developed.
本研究的目的是确定以帕金森综合征为主的多系统萎缩（MSA-P）患者健康相关生活质量（HRQoL）的主要影响因素，并确定SF-36在捕捉1年随访期间HRQoL变化方面的有效性。共研究了45例MSA-P患者和150例帕金森病（PD）患者。进行分层多元回归分析以确定SF-36总分的预测因素。将1年随访期间HRQoL的任何变化幅度计算为效应量。除身体疼痛外，MSA-P患者SF-36各领域的平均得分均低于PD患者（p<0.05）。MSA-P患者HRQoL的最重要预测因素是女性、发病年龄较大、SCOPA-AUT评分和UMSARS IV，在分层分析的最终模型中，这些因素与其他选定的临床变量一起占总SF-36得分方差的84%。在1年的随访期间，发现SF-36能够检测MSA-P患者的变化。我们的研究为MSA-P患者HRQoL的潜在预测因素及其纵向变化提供了一些新的见解，在制定医疗保健计划时应予以考虑。
