A study on the Charlson comorbidity index and health-related quality of life in the middle-aged and elderly osteoporosis population.
10.12200/j.issn.1003-0034.2023.02.010
- Author:
Xu WEI
1
;
Xin-Yi HUANG
2
;
Yi-Li ZHANG
3
;
Li-Guo ZHU
1
;
Hao SHEN
4
;
Yan-Ming XIE
5
Author Information
1. Wangjing Hospital, China Academy of Chinese Medical Sciencse, Beijing 100102, China.
2. School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
3. School of Traditional Chinese Medicine & School of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu, China.
4. Fengtai District Changxindian Town Community Health Service Center, Beijing 100072, China.
5. Instiute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciencse, Beijing 100700, China.
- Publication Type:Journal Article
- Keywords:
Charlson comorbidity index;
Comorbidity;
Influencing factors;
Osteoporosis;
Quality of life
- MeSH:
Aged;
Middle Aged;
Humans;
Quality of Life;
Osteoporosis/epidemiology*;
Comorbidity;
Risk Factors;
Fractures, Bone;
Hypertension/epidemiology*
- From:
China Journal of Orthopaedics and Traumatology
2023;36(2):145-150
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To explore the characteristics of comorbidities in patients with osteoporosis(OP) and factors associated health-related quality of life, so as to provide decision-making reference for improving the ability of disease co-prevention and co-treatment and the patient's life-cycle quality of life.
METHODS:From November 2017 to July 2018, clinical information and biological samples from residents in 10 communities in Chaoyang District and Fengtai Distric of Beijing were collected, and bone density testing was conducted. Based on the Charlson comorbidity index (CCI), the comorbidity of the population was quantified, and grouped according to factors such as gender, age, and the differences between the groups were explored. Combined with the clinical information of patients, the difference characteristics of comorbidity and non-comorbidity population were analyzed. Pearson/Spearman correlation analysis and binary Logistic regression analysis were used to explore the factors affecting the health-related quality of life in patients with OP.
RESULTS:Among the 521 OP patients, 121 patients had no comorbidities, and there were 153, 106, 65, and 30 patients with one, two, three, and four comorbidities, respectively, 46 patients with 5 or more kinds of comorbidites. Hypertension was the most common comorbidity in OP patients, accounting for 21.60%;followed by hyperlipidemia, accounting for 13.51%. The most common combination of the two diseases was hypertension plus hyperlipidemia (64 cases, 12.28%). Through the analysis of differences between age groups, it was found that the older patients, showed higher the CCI, and the difference between groups was statistically significant(Z=1.93, P=0.05). There were significant differences in the total EQ-5D score and the dimensions of anxiety and depression between patients with comorbidities (CCI≠0) and non-comorbidities (CCI=0) (Z=-2.67, P=0.01;Z=-2.44, P=0.02). Correlation analysis found that CCI, history of fracture, history of falls, hip bone mineral density T value and parathyroid hormone were all related to the health-related quality of life in OP patients (P<0.05). Binary Logistic regression analysis suggested that the right hip bone mineral density T value (P=0.02), CCI (P=0.01), fracture history (P=0.03) and fall history (P=0.01) were the risk factors that affect the health-related quality of life in OP patients.
CONCLUSION:The burden of comorbidities among middle-aged and elderly OP populations in Beijing is relatively heavy, and the health management of such populations should be further strengthened, specifically the combination of multiple comorbidities should be given high priority. Comorbid factors are of great importance for the diagnosis and treatment strategy of OP patients, which could further improve the quality of life.
