Causal associations of central and peripheral risk factors with knee osteoarthritis: a longitudinal and Mendelian Randomisation study using UK Biobank data

被引:2
|
作者
Thompson, William David [1 ]
Swain, Subhashisa [1 ,2 ]
Zhao, Sizheng Steven [3 ]
Coupland, Carol [4 ]
Kuo, Changfu [5 ]
Doherty, Michael [1 ]
Zhang, Weiya [1 ]
机构
[1] Nottingham City Hosp, Acad Rheumatol, Clin Sci Bldg,Hucknall Rd, Nottingham NG5 1PB, England
[2] Radcliffe Primary Care Bldg, Nuffield Dept Primary Care Hlth Sci, Radcliffe Observ Quarter, Oxford, England
[3] Univ Manchester, Ctr Epidemiol Versus Arthrit, Div Musculoskeletal & Dermatol Sci, Manchester, England
[4] Sch Med, Ctr Acad Primary Care, Univ Pk, Nottingham, England
[5] Chang Gung Mem Hosp, Div Rheumatol Allergy & Immunol, Taoyuan, Taiwan
基金
英国医学研究理事会;
关键词
UK Biobank; BMI; MCP; Mendelian Randomisation; Longitudinal; ADULTS;
D O I
10.1097/j.pain.0000000000003183
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
The relative risk contribution of body mass index to the diagnosis of knee osteoarthritis is larger than multisite chronic pain, and both have independent causal effects. Our aim was to investigate relative contributions of central and peripheral mechanisms to knee osteoarthritis (OA) diagnosis and their independent causal association with knee OA. We performed longitudinal analysis using data from UK-Biobank participants. Knee OA was defined using International Classification of Diseases manual 10 codes from participants' hospital records. Central mechanisms were proxied using multisite chronic pain (MCP) and peripheral mechanisms using body mass index (BMI). Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated, and proportional risk contribution (PRC) was estimated from receiver-operator-characteristic (ROC) analysis. To estimate the causal effects, we performed 2-sample multivariable Mendelian Randomisation (MR) analysis. We selected genetic instruments from the largest Genome Wide Association Study of BMI (N = 806,834) and MCP (N = 387,649) and estimated the instruments genetic associations with knee OA in the largest available dataset (62,497 cases and 333,557 control subjects). The multivariable MR was performed using modified inverse-variance weighting methods. Of the 203,410 participants, 6% developed knee OA. Both MCP (OR 1.23, 95% CI; 1.21-1.24) and BMI (1.10, 95% CI; 1.10-1.11) were associated with knee OA diagnosis. The PRC was 6.9% (95% CI; 6.7%-7.1%) for MCP and 21.9% (95% CI; 21.4%-22.5%) for BMI; the combined PRC was 38.8% (95% CI; 37.9%-39.8%). Body mass index and MCP had independent causal effects on knee OA (OR 1.76 [95% CI, 1.64-1.88] and 1.83 [95% CI, 1.54-2.16] per unit change, respectively). In conclusion, peripheral risk factors (eg, BMI) contribute more to the development of knee OA than central risk factors (eg, MCP). Peripheral and central factors are independently causal on knee OA.
引用
收藏
页码:1882 / 1889
页数:8
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