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Association of a femoral neck T score with knee joint osteophyte formation but not with skeletal muscle mass

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Abstract

Background

Osteophyte formation is an important radiographic sign of osteoarthritis (OA) and limited joint motion in knee osteoarthritis patients. Some studies revealed relationships of osteophyte formation with a high bone mineral density and a high muscle mass, while others showed no correlations. The aim of this study was to identify relationships of osteophyte formation with bone mineral density and muscle mass.

Methods

A cross sectional study of knee osteoarthritis was conducted. Cases were classified as patients with osteophyte formation, while controls were those without osteophytes. All subjects underwent a knee x-ray and bone mineral density and body composition evaluation. General patient characteristics, covariates, and the results of biochemical analyses were also recorded. Statistical analysis was conducted using SPSS Version 22.0. Logistic regression and the chi-square test were utilized to analyze the relationships between the presence of knee osteophytes and the study variables.

Results

A total of 228 patients were enrolled, including 78 with osteophytes in the knee joint and 150 without. A total of 162/228 are females; knee OA is commonly explained among females. (p = 0.001). The mean age was 73.23 ± 11.10 years in the osteophyte group and 71.86 ± 12.23 in the no osteophyte group (p = 0.409). The mean body mass index was 24.15 ± 3.27 kg/m2 in the osteophyte group and 23.37 ± 3.48 kg/m2 in the no osteophyte group (p = 0.433). More patients in the osteophyte group had hypertension (p = 0.002), so the age group 73 years expected to have OA and hypertension along other metabolic diseases, and the femoral neck T score was higher in the osteophyte group (p = 0.044). Logistic regression analysis showed that the male gender was associated with less osteophyte formation (p = 0.001, odds ratio (OR) 0.11 (0.03–0.37)), and hypertension was associated with increased muscle loss (p = 0.005). Femoral neck T score was associated with the presence of osteophyte formation (p = 0.011, OR 1.98 (1.17–3.36)).

Conclusions

The results demonstrated an association of knee osteophyte formation with the femoral neck T score and hypertension, but no association with muscle mass. We speculated that in patients with osteophytosis and increased bone mass, metabolic factors such as hypertension should be considered. Further study of the molecular mechanisms regulating these processes is needed in the future.

Key Points

• Associations of knee osteophyte formation with the femoral neck T score, but not with muscle mass.

• Those with osteophytosis and an increased bone mass and metabolic factors such as hypertension need to be assessed.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

OA:

Osteoarthritis

BMD:

Bone mineral density

ACR:

American College of Rheumatology

DXA:

Dual-energy X-ray absorptiometry

References

  1. Kijowski R, Blankenbaker DG, Stanton PT, Fine JP, De Smet AA (2006) Radiographic findings of osteoarthritis versus arthroscopic findings of articular cartilage degeneration in the tibiofemoral joint. Radiology 239(3):818–824

    Article  PubMed  Google Scholar 

  2. van der Kraan PM, van den Berg WB (2007) Osteophytes: relevance and biology. Osteoarthritis Cartilage 15(3):237–244

    Article  PubMed  Google Scholar 

  3. Burger H, van Daele PL, Odding E, Valkenburg HA, Hofman A, Grobbee DE et al (1996) Association of radiographically evident osteoarthritis with higher bone mineral density and increased bone loss with age. Rotterdam Study Arthritis Rheum 39(1):81–86

    Article  CAS  PubMed  Google Scholar 

  4. Nevitt MC, Lane NE, Scott JC, Hochberg MC, Pressman AR, Genant HK, et al. (1995) Radiographic osteoarthritis of the hip and bone mineral density. The Study of Osteoporotic Fractures Research Group. Arthritis Rheum 38(7):907–16

  5. Hannan MT, Anderson JJ, Zhang Y, Levy D, Felson DT (1993) Bone mineral density and knee osteoarthritis in elderly men and women. Framingham Study Arthritis Rheum 36(12):1671–1680

    Article  CAS  PubMed  Google Scholar 

  6. Hochberg MC (2004) Do risk factors for incident hip osteoarthritis (OA) differ from those for progression of hip OA? J Rheumatol Suppl 70:6–9

    PubMed  Google Scholar 

  7. Dequeker J, Boonen S, Aerssens J, Westhovens R (1996) Inverse relationship osteoarthritis-osteoporosis: what is the evidence? What are the consequences? Br J Rheumatol 35(9):813–818

    Article  CAS  PubMed  Google Scholar 

  8. El-Sherif HE, Kamal R, Moawyah O (2008) Hand osteoarthritis and bone mineral density in postmenopausal women; clinical relevance to hand function, pain and disability. Osteoarthr Cartil 16(1):12–17

    Article  CAS  PubMed  Google Scholar 

  9. Hochberg MC, Lethbridge-Cejku M, Tobin JD (2004) Bone mineral density and osteoarthritis: data from the Baltimore Longitudinal Study of Aging. Osteoarthr Cartil 12 Suppl A:S45–8.

  10. Schneider DL, Barrett-Connor E, Morton DJ, Weisman M (2002) Bone mineral density and clinical hand osteoarthritis in elderly men and women: the Rancho Bernardo study. J Rheumatol 29(7):1467–1472

    PubMed  Google Scholar 

  11. Zoli A, Lizzio MM, Capuano A, Massafra U, Barini A, Ferraccioli G (2006) Osteoporosis and bone metabolism in postmenopausal women with osteoarthritis of the hand. Menopause 13(3):462–466

    Article  PubMed  Google Scholar 

  12. Milte R, Crotty M (2014) Musculoskeletal health, frailty and functional decline. Best Pract Res Clin Rheumatol 28(3):395–410

    Article  CAS  PubMed  Google Scholar 

  13. Kemmler W, Teschler M, Goisser S, Bebenek M, von Stengel S, Bollheimer LC et al (2015) Prevalence of sarcopenia in Germany and the corresponding effect of osteoarthritis in females 70 years and older living in the community: results of the FORMoSA study. Clin Interv Aging 10:1565–1573

    Article  PubMed  PubMed Central  Google Scholar 

  14. Conroy MB, Kwoh CK, Krishnan E, Nevitt MC, Boudreau R, Carbone LD et al (2012) Muscle strength, mass, and quality in older men and women with knee osteoarthritis. Arthritis Care Res (Hoboken) 64(1):15–21

    Article  PubMed  Google Scholar 

  15. Waters RL, Campbell J, Perry J (1987) Energy cost of three-point crutch ambulation in fracture patients. J Orthop Trauma 1(2):170–173

    Article  CAS  PubMed  Google Scholar 

  16. Papalia R, Zampogna B, Torre G, Lanotte A, Vasta S, Albo E et al (2014) Sarcopenia and its relationship with osteoarthritis: risk factor or direct consequence? Musculoskelet Surg 98(1):9–14

    Article  CAS  PubMed  Google Scholar 

  17. Kellgren JH, Lawrence JS (1957) Radiological assessment of osteo-arthrosis. Ann Rheum Dis 16(4):494–502

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Ho-Pham LT, Lai TQ, Mai LD, Doan MC, Pham HN, Nguyen TV (2014) Prevalence of radiographic osteoarthritis of the knee and its relationship to self-reported pain. PLoS One 9(4):e94563

    Article  PubMed  PubMed Central  Google Scholar 

  19. Celi M, Rao C, Scialdoni A, Tempesta V, Gasbarra E, Pistillo P et al (2013) Bone mineral density evaluation in osteoporosis: why yes and why not? Aging Clin Exp Res 25(Suppl 1):S47–S49

    Article  PubMed  Google Scholar 

  20. Gregson CL, Sayers A, Lazar V, Steel S, Dennison EM, Cooper C et al (2013) The high bone mass phenotype is characterised by a combined cortical and trabecular bone phenotype: findings from a pQCT case-control study. Bone 52(1):380–388

    Article  PubMed  PubMed Central  Google Scholar 

  21. Hardcastle SA, Gregson CL, Deere KC, Davey Smith G, Dieppe P, Tobias JH (2013) High bone mass is associated with an increased prevalence of joint replacement: a case-control study. Rheumatology (Oxford) 52(6):1042–1051

    Article  CAS  PubMed  Google Scholar 

  22. Gregson CL, Paggiosi MA, Crabtree N, Steel SA, McCloskey E, Duncan EL et al (2013) Analysis of body composition in individuals with high bone mass reveals a marked increase in fat mass in women but not men. J Clin Endocrinol Metab 98(2):818–828

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Felson DT, Neogi T (2004) Osteoarthritis: is it a disease of cartilage or of bone? Arthritis Rheum 50(2):341–344

    Article  PubMed  Google Scholar 

  24. Rogers J, Shepstone L, Dieppe P (1997) Bone formers: osteophyte and enthesophyte formation are positively associated. Ann Rheum Dis 56(2):85–90

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. De Ceuninck F, Fradin A, Pastoureau P (2014) Bearing arms against osteoarthritis and sarcopenia: when cartilage and skeletal muscle find common interest in talking together. Drug Discov Today 19(3):305–311

    Article  PubMed  Google Scholar 

  26. Yoshimura N, Muraki S, Oka H, Kawaguchi H, Nakamura K, Akune T (2011) Association of knee osteoarthritis with the accumulation of metabolic risk factors such as overweight, hypertension, dyslipidemia, and impaired glucose tolerance in Japanese men and women: the ROAD study. J Rheumatol 38(5):921–930

    Article  PubMed  Google Scholar 

  27. Xie DX, Wei J, Zeng C, Yang T, Li H, Wang YL et al (2017) Association between metabolic syndrome and knee osteoarthritis: a cross-sectional study. BMC Musculoskelet Disord 18(1):533

    Article  PubMed  PubMed Central  Google Scholar 

  28. Kang X, Fransen M, Zhang Y, Li H, Ke Y, Lu M et al (2009) The high prevalence of knee osteoarthritis in a rural Chinese population: the Wuchuan osteoarthritis study. Arthritis Rheum 61(5):641–647

    Article  PubMed  PubMed Central  Google Scholar 

  29. Salve H, Gupta V, Palanivel C, Yadav K, Singh B (2010) Prevalence of knee osteoarthritis amongst perimenopausal women in an urban resettlement colony in South Delhi. Indian J Public Health 54(3):155–157

    Article  PubMed  Google Scholar 

  30. Nestel P, Lyu R, Low LP, Sheu WH, Nitiyanant W, Saito I et al (2007) Metabolic syndrome: recent prevalence in East and Southeast Asian populations. Asia Pac J Clin Nutr 16(2):362–367

    PubMed  Google Scholar 

  31. Gandhi R, Razak F, Tso P, Davey JR, Mahomed NN (2010) Asian ethnicity and the prevalence of metabolic syndrome in the osteoarthritic total knee arthroplasty population. J Arthroplasty 25(3):416–419

    Article  PubMed  Google Scholar 

  32. Sowers M, Karvonen-Gutierrez CA, Palmieri-Smith R, Jacobson JA, Jiang Y, Ashton-Miller JA (2009) Knee osteoarthritis in obese women with cardiometabolic clustering. Arthritis Rheum 61(10):1328–1336

    Article  PubMed  PubMed Central  Google Scholar 

  33. Kornaat PR, Sharma R, van der Geest RJ, Lamb HJ, Kloppenburg M, Hellio le Graverand MP, et al. (2009) Positive association between increased popliteal artery vessel wall thickness and generalized osteoarthritis: is OA also part of the metabolic syndrome? Skeletal Radiol 38(12):1147–51

  34. Rojas-Rodriguez J, Escobar-Linares LE, Garcia-Carrasco M, Escarcega RO, Fuentes-Alexandro S, Zamora-Ustaran A (2007) The relationship between the metabolic syndrome and energy-utilization deficit in the pathogenesis of obesity-induced osteoarthritis. Med Hypotheses 69(4):860–868

    Article  CAS  PubMed  Google Scholar 

  35. Cai H, Sun HJ, Wang YH, Zhang Z (2015) Relationships of common polymorphisms in IL-6, IL-1A, and IL-1B genes with susceptibility to osteoarthritis: a meta-analysis. Clin Rheumatol 34(8):1443–1453

    Article  PubMed  Google Scholar 

  36. Lukic L, Lalic NM, Rajkovic N, Jotic A, Lalic K, Milicic T et al (2014) Hypertension in obese type 2 diabetes patients is associated with increases in insulin resistance and IL-6 cytokine levels: potential targets for an efficient preventive intervention. Int J Environ Res Public Health 11(4):3586–3598

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Lanyon P, Muir K, Doherty S, Doherty M (2003) Age and sex differences in hip joint space among asymptomatic subjects without structural change: implications for epidemiologic studies. Arthritis Rheum 48(4):1041–1046

    Article  PubMed  Google Scholar 

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Funding

This study was supported by Chang Gung Memorial Hospital and Chang Gung University College of Medicine (CMRPG8H0521). The funders had no role in study design, data collection and analysis, decision to publish, nor preparation of the manuscript.

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Authors and Affiliations

Authors

Contributions

KTW: study design, data collection, statistical analysis, and writing the paper; TTC: data collection; RWW, CCH: study design and writing the paper; YCC: corresponding author, study design, and writing the paper. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Ying-Chou Chen.

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Ethics and consent to participate

This study was conducted in accordance with the Declaration of Helsinki and with approval by the Institutional Review Board of Chang Gung Memorial Hospital, IRB No.: 201800414A3. Informed consent was obtained from the individuals who had joined the study.

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Informed written consent was provided by every participant.

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Wu, KT., Wang, YW., Wu, RW. et al. Association of a femoral neck T score with knee joint osteophyte formation but not with skeletal muscle mass. Clin Rheumatol 42, 917–922 (2023). https://doi.org/10.1007/s10067-022-06410-w

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  • DOI: https://doi.org/10.1007/s10067-022-06410-w

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