Could the EQ-5D-3L predict all-cause mortality in older Chinese? Evidence from a 5-year longitudinal study in eastern China.

PURPOSE

To assess the ability of the 3-level EQ-5D (i.e., EQ-5D-3L) in predicting all-cause mortality in older Chinese adults.

METHODS

The data were from a 5-year longitudinal study, Weitang Geriatric Diseases Study, including 4579 community-dwelling older people in eastern China, with the mean age of 72.5 years at baseline and female being 52.0%. Three multivariable logistic regression models were adopted to assess the associations of the baseline EQ-5D data [i.e., the EQ-5D problems, EQ-5D-3L index score, and EQ-5D visual analog scale (VAS) score] with the 5-year all-cause mortality, adjusting for socio-demographic characteristics, and subsequently, health conditions and lifestyle habits.

RESULTS

A total of 183 participants died over the 5-year study period. A larger proportion of the dead reported problems in physical dimensions (i.e., including three dimensions: mobility, self-care, and usual activities, p < 0.05 for all). The mean EQ-5D index score (0.928) and EQ-VAS score (79.7) of the living were higher than those of the dead (0.915 and 73.2, p < 0.05 for both). In multivariable logistic analyses, the EQ-5D health problems in the physical-related dimensions [odds ratio (OR) 2.16, p < 0.05] and the EQ-VAS score (OR: 0.97, p < 0.001) were associated with the 5-year all-cause mortality when adjusting for socio-demographic characteristics, health conditions, and lifestyle habits.

CONCLUSIONS

It appears that the EQ-5D-3L could predict mortality in general older Chinese, which could be used to detect high-risk older individuals in China.