Investigation and analysis of health-related quality of life in myasthenia gravis patients with myasthenia gravis quality of life-15 Chinese version.
- Author:
Xiao Hui MIAO
1
;
Zhi Yun LIAN
1
;
Ju LIU
1
;
Hong Xi CHEN
1
;
Zi Yan SHI
1
;
Hong Yu ZHOU
1
;
Rong YANG
1
Author Information
1. Department of Neurology,West China Hospital, Sichuan University, Chengdu 610041, China.
- Publication Type:Journal Article
- MeSH:
Adult;
Aged;
Cost of Illness;
Female;
Humans;
Income;
Male;
Marital Status;
Middle Aged;
Myasthenia Gravis/psychology*;
Quality of Life
- From:
Journal of Peking University(Health Sciences)
2018;50(3):514-520
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To investigate the level and influencing factors of health-related quality of life in myasthenia gravis (MG) patients with myasthenia gravis quality of life-15 (MGQOL-15) Chinese version and to provide corresponding measures in one tertiary hospital of Sichuan Province.
METHODS:We collected the general data (gender, age, body mass index BMI, marital status, educational level and employee status), clinical data [Osserman type, myasthenia gravis composite (MGC), other immunopathies, disease duration, frequency of outpatient visits per month, ratio of disease cost to income each month and frequency of symptoms during the past month] and the MGQOL-15 Chinese version from 168 myasthenia gravis patients in one tertiary hospital of Sichuan Province.
RESULTS:The mean score of MGQOL-15 was 17.67±12.78. The score of the item "My occupational skills and job status have been negatively affected." was the highest, followed by "I have trouble using my eyes." and "I am frustrated by my MG." Single factor analysis showed that MG patients' QOL were different with different disease severity MGC (F=19.353, P<0.001), ratio of disease cost to income each month (F=5.831, P<0.001) and the frequency of symptoms during the past month (F=9.128,P<0.001). Multiple regression analysis showed that disease severity MGC (β=0.743,P<0.001), ration of disease cost to income each month (β=3.347,P<0.001) and the frequency of symptoms during the past month (β=2.216,P<0.003) were the main predictors of HRQOL in the MG patients.
CONCLUSION:Our study showed that the MGQOL-15 is helpful for clinicians to evaluate MG patients' QOL regularly, investigate the influencing factors and implement corresponding interventions the so as to improve the patients' quality of life. Disease severity MGC, ratio of disease cost to income each month and the frequency of symptoms during the past month were the main predictors of MG patients' QOL. Clinicians should pay more attention to MG patients' disease severity MGC and the frequency of symptoms during the past month.
