| アブストラクト | OBJECTIVES: To compare the annual and period prevalence of modifiable cardiovascular risk factors (MCVRFs) between populations with and without osteoarthritis (OA) in the UK over 25 years. METHODS: 215 190 patients aged 35 years and over from the UK Clinical Practice Research Datalink GOLD database who were newly diagnosed OA between 1992 and 2017, as well as 1:1 age-matched, sex-matched, practice-matched and index year-matched non-OA individuals, were incorporated. MCVRFs including smoking, hypertension, type 2 diabetes, obesity and dyslipidaemia were defined by Read codes and clinical measurements. The annual and period prevalence and prevalence rate ratios (PRRs) of individual and clustering (>/=1, >/=2 and >/=3) MCVRFs were estimated by Poisson regression with multiple imputations for missing values. RESULTS: The annual prevalence of MCVRFs increased in the population with OA between 1992 and 2017 and was consistently higher in the population with OA compared with the population without OA between 2004 and 2017. Trends towards increased or stable annual PRRs for individuals and clustering of MCVRFs were observed. A 26-year period prevalence of single and clustering MCVRFs was significantly higher in individuals with OA compared with non-OA individuals. Period PRRs were higher in Southern England, women and increased with age for most MCVRFs except for obesity, which has the higher PRR in the youngest age group. CONCLUSIONS: A consistently higher long-term prevalence of MCVRFs was observed in individuals with OA compared to those without OA. The higher prevalence of obesity in the youngest age group with OA highlights the need for public health strategies. Further research to understand MCVRF management in OA populations is necessary. |
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| ジャーナル名 | RMD open |
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| Pubmed追加日 | 2023/8/31 |
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| 投稿者 | Yu, Dahai; Huang, Xiaoyang; Mamas, Mamas A; Wilkie, Ross |
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| 組織名 | Department of Nephrology, First Affiliated Hospital, Zhengzhou University,;Zhengzhou, China d.yu@keele.ac.uk.;School of Medicine, Keele University, Keele, Staffordshire, UK.;Shenzhen Ellen-Sven Precision Medicine Institute, Shenzhen, Guangdong, China. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/37648396/ |
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