Osteoarthritis and mortality: A prospective cohort study and systematic review with meta-analysis
Section snippets
Overall cohort
Previously unpublished data from the Progetto Veneto Anziani (PRO.V.A. study) were used to investigate the risk of overall and CVD mortality in people with OA over a mean follow-up of 4.4 years. The Pro.V.A. study is an observational cohort study on the Italian population aged over 65 years. The study population initially included 3099 older Caucasian adults (1245 men/1854 women), who were randomly selected between 1995 and 1997 using a multistage stratified method, in two North Italian towns
Baseline characteristics
In the PRO.V.A. study, participants with OA (N = 1858; 63.5%) were significantly older, with a greater proportion of women compared to those without OA (n = 1069) (Table 1). Subjects with OA had also a significantly higher presence of potential risk factors for early mortality; including lower GNRI, preserved number of ADLs, and higher presence of depressive symptoms; frailty, osteoporotic fractures, orthostatic hypotension and hypertension, diabetes, and CVD, compared to the non-OA group (
Discussion
To the best of our knowledge, this is the first meta-analysis investigating the association between OA and mortality. The seven meta-analyzed studies (including 10,018 participants with and 18,541 people without OA) demonstrated that the presence of OA was not associated with mortality, although this appeared to substantially depend on between-study heterogeneity. When analyzing studies conducted in Europe, we observed a significantly higher risk of mortality and lower heterogeneity. A
Funding sources
The data collection phase of the PRO.V.A. study was supported by the Fondazione Cassa di Risparmio di Padova e Rovigo; the University of Padova (01/2014); the Azienda Unità Locale Socio Sanitaria 15 and 18 of the Veneto Region; and a grant from the Veneto Regional Authority (Ricerca Sanitaria Finalizzata no. 156/03). The data analysis phase was also financed by a grant from the University of Padova (Population aging—economics, health, retirement, and the welfare state—POPA_EHR). The funding
Acknowledgments
We would like to thank Dr. Marta Cecilia Castano Betancourt who gave some additional data about her article.
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These authors contributed equally to this research.