A Cross-Sectional Study on Gluteal Muscles in Patients with Ankylosing Spondylitis at Different Stages of Hip Involvement
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Participants
2.2. Demographic Data and Clinical Parameters
2.3. Radiographic Data Collection
2.4. Muscle Parameter Measurement
2.5. Ethics
2.6. Statistical Analysis
3. Results
3.1. Characteristics of Patients with AS
3.2. Comparison of Muscle Parameters between Patients with AS and Controls
3.3. Association between Clinical and Muscle Parameters
3.4. Relationship between the Severity of Hip Involvement and Muscle Parameters
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Vander Cruyssen, B.; Muñoz-Gomariz, E.; Font, P.; Mulero, J.; De Vlam, K.; Boonen, A.; Vazquez-Mellado, J.; Flores, D.; Vastesaeger, N.; Collantes, E.; et al. Hip involvement in ankylosing spondylitis: Epidemiology and risk factors associated with hip replacement surgery. Rheumatology 2010, 49, 73–81. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Vander Cruyssen, B.; Vastesaeger, N.; Collantes-Estévez, E. Hip disease in ankylosing spondylitis. Curr. Opin. Rheumatol. 2013, 25, 448–454. [Google Scholar] [CrossRef] [PubMed]
- Man, S.; Zhang, L.; Bian, T.; Li, H.; Ma, Z.; Zhou, Y. Assessment of hip involvement in patients with ankylosing spondylitis: Reliability and validity of the Hip Inflammation MRI Scoring System. BMC Musculoskelet. Disord. 2021, 22, 705. [Google Scholar] [CrossRef] [PubMed]
- Zheng, Y.; Zhang, K.; Han, Q.; Hao, Y.; Liu, Y.; Yin, H.; Ding, J.; Zheng, Z.; Leng, N.; Jia, J.; et al. Application and preliminary validation of the hip inflammation MRI scoring system (HIMRISS) in spondyloarthritis. Int. J. Rheum. Dis. 2019, 22, 228–233. [Google Scholar] [CrossRef] [PubMed]
- Resorlu, H.; Savas, Y.; Aylanc, N.; Gokmen, F. Evaluation of paravertebral muscle atrophy and fatty degeneration in ankylosing spondylitis. Mod. Rheumatol. 2017, 27, 683–687. [Google Scholar] [CrossRef]
- Akgul, O.; Gulkesen, A.; Akgol, G.; Ozgocmen, S. MR-defined fat infiltration of the lumbar paravertebral muscles differs between non-radiographic axial spondyloarthritis and established ankylosing spondylitis. Mod. Rheumatol. 2013, 23, 811–816. [Google Scholar] [CrossRef]
- Engelken, F.; Wassilew, G.I.; Köhlitz, T.; Brockhaus, S.; Hamm, B.; Perka, C.; Diederichs, uG. Assessment of fatty degeneration of the gluteal muscles in patients with THA using MRI: Reliability and accuracy of the Goutallier and quartile classification systems. J. Arthroplast. 2014, 29, 149–153. [Google Scholar] [CrossRef]
- Kim, D.W.; Ha, J.; Ko, Y.; Kim, K.W.; Park, T.; Lee, J.; You, M.W.; Yoon, K.H.; Park, J.Y.; Kee, Y.J.; et al. Reliability of skeletal muscle area measurement on ct with different parameters: A phantom study. Korean J. Radiol. 2021, 22, 624–633. [Google Scholar] [CrossRef]
- Loureiro, A.; Mills, P.M.; Barrett, R.S. Muscle weakness in hip osteoarthritis: A systematic review. Arthritis Care Res. 2013, 65, 340–352. [Google Scholar] [CrossRef]
- Poltronieri, T.S.; De Paula, N.S.; Chaves, G.V. Assessing skeletal muscle radiodensity by computed tomography: An integrative review of the applied methodologies. Clin. Physiol. Funct. Imaging 2020, 40, 207–223. [Google Scholar] [CrossRef]
- Wang, L.; Yin, L.; Yang, M.; Ge, Y.; Liu, Y.; Su, Y.; Guo, Z.; Yan, D.; Xu, Z.; Huang, P.; et al. Muscle density is an independent risk factor of second hip fracture: A prospective cohort study. J. Cachexia Sarcopenia Muscle 2022, 13, 1927–1937. [Google Scholar] [CrossRef]
- Van Der Linden, S.; Valkenburg, H.A.; Cats, A. Evaluation of diagnostic criteria for ankylosing spondylitis. A proposal for modification of the New York criteria. Arthritis Rheum. 1984, 27, 361–368. [Google Scholar] [CrossRef]
- Zochling, J. Measures of symptoms and disease status in ankylosing spondylitis: Ankylosing Spondylitis Disease Activity Score (ASDAS), ankylosing spondylitis Quality of Life Scale (ASQoL), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), Bath ankylosing spondylitis Global Score (BAS-G), Bath Ankylosing Spondylitis Metrology Index (BASMI), Dougados Functional Index (DFI), and Health Assessment Questionnaire for the Spondylarthropathies (HAQ-S). Arthritis Care Res. 2011, 63 (Suppl. S11), S47–S58. [Google Scholar] [CrossRef]
- Ware, J., Jr.; Kosinski, M.; Keller, S.D. A 12-Item Short-Form Health Survey: Construction of scales and preliminary tests of reliability and validity. Med. Care. 1996, 34, 220–233. [Google Scholar] [CrossRef] [Green Version]
- Harris, W.H. Traumatic arthritis of the hip after dislocation and acetabular fractures: Treatment by mold arthroplasty. An end-result study using a new method of result evaluation. J. Bone Jt. Surg. Am. 1969, 51, 737–755. [Google Scholar] [CrossRef]
- Mackay, K.; Brophy, S.; Mack, C.; Doran, M.; Calin, A. The development and validation of a radiographic grading system for the hip in ankylosing spondylitis: The bath ankylosing spondylitis radiology hip index. J. Rheumatol. 2000, 27, 2866–2872. [Google Scholar]
- Homma, D.; Minato, I.; Imai, N.; Miyasaka, D.; Sakai, Y.; Horigome, Y.; Suzuki, H.; Shimada, H.; Dohmae, Y.; Endo, N. Appropriate sites for the measurement of the cross-sectional area of the gluteus maximus and the gluteus medius muscles in patients with hip osteoarthritis. Surg. Radiol. Anat. 2021, 43, 45–52. [Google Scholar] [CrossRef]
- Homma, D.; Minato, I.; Imai, N.; Miyasaka, D.; Sakai, Y.; Horigome, Y.; Suzuki, H.; Dohmae, Y.; Endo, N. Investigation on the measurement sites of the cross-sectional areas of the gluteus maximus and gluteus medius. Surg. Radiol. Anat. 2019, 41, 109–115. [Google Scholar] [CrossRef]
- Jung, S.Y.; Kim, H.J.; Oh, K.T. Comparative analysis of preoperative and postoperative muscle mass around hip joint by computed tomography in patients with hip fracture. Hip Pelvis. 2022, 34, 10–17. [Google Scholar] [CrossRef]
- Wang, L.; Yin, L.; Zhao, Y.; Su, Y.; Sun, W.; Chen, S.; Liu, Y.; Yang, M.; Yu, A.; Guglielmi, G.; et al. Muscle density, but not size, correlates well with muscle strength and physical performance. J. Am. Med. Dir. Assoc. 2021, 22, 751–759.e2. [Google Scholar] [CrossRef]
- Boutin, R.D.; Bamrungchart, S.; Bateni, C.P.; Beavers, D.P.; Beavers, K.M.; Meehan, J.P.; Lenchik, L. CT of patients with hip fracture: Muscle size and attenuation help predict mortality. AJR Am. J. Roentgenol. 2017, 208, W208–W215. [Google Scholar] [CrossRef] [PubMed]
- Van Der Werf, A.; Langius, J.A.E.; De Van Der Schueren, M.A.E.; Nurmohamed, S.A.; Van Der Pant, K.A.M.I.; Blauwhoff-Buskermolen, S.; Wierdsma, N.J. Percentiles for skeletal muscle index, area and radiation attenuation based on computed tomography imaging in a healthy Caucasian population. Eur. J. Clin. Nutr. 2018, 72, 288–296. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ozturk, E.C.; Yagci, I. The structural, functional and electrophysiological assessment of paraspinal musculature of patients with ankylosing spondylitis and non-radiographic axial spondyloarthropathy. Rheumatol. Int. 2021, 41, 595–603. [Google Scholar] [CrossRef] [PubMed]
- Zhao, Y.; Huang, M.; Serrano Sosa, M.; Cattell, R.; Fan, W.; Li, M.; Chen, J.; Gao, M.; Zhou, Q.; Li, S.; et al. Fatty infiltration of paraspinal muscles is associated with bone mineral density of the lumbar spine. Arch Osteoporos. 2019, 14, 99. [Google Scholar] [CrossRef] [PubMed]
- Cruz-Jentoft, A.J.; Romero-Yuste, S.; Chamizo Carmona, E.; Nolla, J.M. Sarcopenia, immune-mediated rheumatic diseases, and nutritional interventions. Aging Clin. Exp. Res. 2021, 33, 2929–2939. [Google Scholar] [CrossRef]
- Zannoni, S.; Albano, D.; Jannone, M.L.; Messina, C.; Sconfienza, L.M. Correlation between muscle mass and quality around the hip and of psoas muscles at L3 level using unenhanced CT scans. Skelet. Radiol. 2020, 49, 1649–1655. [Google Scholar] [CrossRef]
- Isshiki, K.; Jinno, T.; Aizawa, J.; Takada, R.; Sakai, T.; Tachibana, T.; Okawa, A. Asymmetry of the cross-sectional area of the gluteus medius muscle persists eight years after total hip arthroplasty for osteoarthritis of the hip. Prog. Rehabil. Med. 2021, 6, 20210052. [Google Scholar] [CrossRef]
- Zhang, Y.; Guo, J.; Duanmu, Y.; Zhang, C.; Zhao, W.; Wang, L.; Cheng, X.; Veronese, N.; Cafarelli, F.P.; Guglielmi, G. Quantitative analysis of modified functional muscle-bone unit and back muscle density in patients with lumbar vertebral fracture in Chinese elderly men: A case-control study. Aging Clin. Exp. Res. 2019, 31, 637–644. [Google Scholar] [CrossRef]
- Lawrenson, P.R.; Crossley, K.M.; Vicenzino, B.T.; Hodges, P.W.; James, G.; Croft, K.J.; King, M.G.; Semciw, A.I. Muscle size and composition in people with articular hip pathology: A systematic review with meta-analysis. Osteoarthr. Cartil. 2019, 27, 181–195. [Google Scholar] [CrossRef] [Green Version]
- Nankaku, M.P.P.; Tsuboyama, T.P.M.; Aoyama, T.P.M.; Kuroda, Y.P.M.; Ikeguchi, R.P.M.; Matsuda, S.P.M. Preoperative gluteus medius muscle atrophy as a predictor of walking ability after total hip arthroplasty. Phys. Ther. Res. 2016, 19, 8–12. [Google Scholar] [CrossRef] [Green Version]
- Zacharias, A.; Pizzari, T.; English, D.J.; Kapakoulakis, T.; Green, R.A. Hip abductor muscle volume in hip osteoarthritis and matched controls. Osteoarthr. Cartil. 2016, 24, 1727–1735. [Google Scholar] [CrossRef]
- Rasch, A.; Byström, A.H.; Dalén, N.; Martinez-Carranza, N.; Berg, H.E. Persisting muscle atrophy two years after replacement of the hip. J. Bone Jt. Surg. Br. 2009, 91, 583–588. [Google Scholar] [CrossRef] [Green Version]
- Grimaldi, A.; Richardson, C.; Durbridge, G.; Donnelly, W.; Darnell, R.; Hides, J. The association between degenerative hip joint pathology and size of the gluteus maximus and tensor fascia lata muscles. Man. Ther. 2009, 14, 611–617. [Google Scholar] [CrossRef]
- Yin, L.; Xu, Z.; Wang, L.; Li, W.; Zhao, Y.; Su, Y.; Sun, W.; Liu, Y.; Yang, M.; Yu, A.; et al. Associations of muscle size and density with proximal femur bone in a community dwelling older population. Front. Endocrinol. 2020, 11, 503. [Google Scholar] [CrossRef]
- Park, H.S.; Lim, J.S.; Lim, S.K. Determinants of bone mass and insulin resistance in Korean postmenopausal women: Muscle area, strength, or composition? Yonsei Med. J. 2019, 60, 742–750. [Google Scholar] [CrossRef]
- Grimaldi, A.; Richardson, C.; Stanton, W.; Durbridge, G.; Donnelly, W.; Hides, J. The association between degenerative hip joint pathology and size of the gluteus medius, gluteus minimus and piriformis muscles. Man. Ther. 2009, 14, 605–610. [Google Scholar] [CrossRef]
- Kim, S.C.; Lee, Y.G.; Park, S.B.; Kim, T.H.; Lee, K.H. Muscle mass, strength, mobility, quality of life, and disease severity in ankylosing spondylitis patients: A preliminary study. Ann. Rehabil. Med. 2017, 41, 990–997. [Google Scholar] [CrossRef]
Total Patients with AS (n = 83) | Group 1: BASRI-Hip ≤ 1 (n = 34) | Group 2: BASRI-Hip = 2 (n = 24) | Group 3: BASRI-Hip ≥ 3 (n = 25) | p Value | Adjusted p Value (Group 1 vs. 2) | Adjusted p Value (Group 1 vs. 3) | Adjusted p Value (Group 2 vs. 3) | |
---|---|---|---|---|---|---|---|---|
Male sex, n (%) | 72 (86.7%) | 29 (85.3%) | 21 (87.5%) | 22 (88.0%) | 1.000 | |||
Age at outpatient visit (years) | 33.0 (28.0–37.0) | 33.5 (29.0–37.5) | 32.0 (28.3–37.0) | 33.0 (25.0–39.5) | 0.956 | |||
Age at onset (years) | 23.0 (19.0–28.0) | 24.5 (22.0–30.0) | 24.5 (19.0–28.0) | 20.0 (15.0–23.5) | 0.001 | 1.000 | 0.001 | 0.027 |
Disease duration (years) | 8.0 (2.0–13.0) | 6.0 (1.8–10.3) | 7.0 (4.3–9.8) | 13.0 (2.5–20.5) | 0.017 | 1.000 | 0.014 | 0.242 |
Diagnosis delay (years) | 3.0 (1.0–7.0) | 2.0 (0.8–5.5) | 3.5 (0–5.0) | 4.0 (1.5–15.0) | 0.132 | |||
BMI (kg/m2) | 24.5 ± 4.3 | 24.9 ± 3.7 | 24.9 ± 4.6 | 23.7 ± 4.7 | 0.506 | |||
Family history, n (%) | 28 (33.7%) | 15 (44.1%) | 5 (20.8%) | 8 (32.0%) | 0.174 | |||
Use of NSAIDs, n (%) | 58 (69.9%) | 25 (73.5%) | 15 (62.5%) | 18 (72.0%) | 0.625 | |||
Use of csDMARDs, n (%) | 44 (53.0%) | 20 (58.8%) | 13 (54.2%) | 11 (44.0%) | 0.527 |
Total Patients with AS (n = 83) | Group 1: BASRI-Hip ≤ 1 (n = 34) | Group 2: BASRI-Hip = 2 (n = 24) | Group 3: BASRI-Hip ≥ 3 (n = 25) | p Value | Adjusted p Value (Group 1 vs. 2) | Adjusted p Value (Group 1 vs. 3) | Adjusted p Value (Group 2 vs. 3) | |
---|---|---|---|---|---|---|---|---|
BASDAI | 3.8 (1.9–5.5) | 3.4 (1.8–5.4) | 3.0 (1.4–4.8) | 4.9 (3.0–6.6) | 0.026 | 1.000 | 0.068 | 0.045 |
BASFI | 3.2 (1.2–6.5) | 2.0 (1.0–3.8) | 2.8 (1.1–6.4) | 6.2 (2.2–7.4) | 0.008 | 1.000 | 0.007 | 0.103 |
SF-12 PCS | 38.5 (29.8–48.4) | 48.2 (34.4–52.9) | 40.2 (30.0–48.0) | 33.5 (24.1–39.6) | 0.011 | 0.384 | 0.008 | 0.496 |
SF-12 MCS | 46.0 (33.2–53.6) | 47.7 (34.7–54.3) | 46.8 (29.0–53.6) | 42.8 (33.2–50.8) | 0.729 | |||
ASQOL | 5.5 (1.0–8.0) | 3.0 (0–7.0) | 6.0 (0.3–8.0) | 7.0 (5.0–10.0) | 0.032 | 0.908 | 0.026 | 0.425 |
HHS | 82.0 (74.8–90.0) | 84.5 (81.0–90.0) | 85.0 (78.3–91.5) | 72.5 (65.0–78.0) | <0.001 | 1.000 | <0.001 | <0.001 |
HLA-B27 positivity, n (%) | 75 (90.4%) | 29 (85.3%) | 24 (100%) | 22 (88.0%) | 0.161 | |||
ESR (mm/h) | 25.0 (13.0–40.0) | 18.0 (12.0–30.0) | 29.0 (13.0–42.0) | 29.0 (21.5–42.5) | 0.119 | |||
CRP (mg/L) | 13.6 (7.2–34.1) | 8.4 (4.7–25.7) | 15.7 (9.4–28.0) | 23.9 (8.6–47.7) | 0.033 | 0.202 | 0.039 | 1.000 |
ALB (g/L) | 44.9 (42.4–47.1) | 44.9 (43.2–47.7) | 46.0 (43.9–46.8) | 44.0 (40.0–47.0) | 0.324 | |||
HGB (g/L) | 141.0 (132.0–150.8) | 145.0 (132.0–153.0) | 138.0 (128.3–146.8) | 144.0 (128.5–150.0) | 0.451 |
Parameters | Control Group (n = 83) | Group 1: BASRI-Hip ≤ 1 (n = 34) | Group 2: BASRI-Hip = 2 (n = 24) | Group 3: BASRI-Hip ≥ 3 (n = 25) | p Value | Adjusted p Value for Groups | |||||
---|---|---|---|---|---|---|---|---|---|---|---|
0 vs. 1 | 0 vs. 2 | 0 vs. 3 | 1 vs. 2 | 1 vs. 3 | 2 vs. 3 | ||||||
G.MaxM CSA (cm2) | 45.05 (38.32–52.91) | 40.68 (32.55–48.21) | 36.72 (31.02–45.79) | 32.54 (22.84–40.51) | <0.001 | 0.013 | <0.001 | <0.001 | 0.786 | 0.002 | 0.324 |
G.MaxM radiodensity (HU) | 39.90 (34.16–43.96) | 40.17 (34.14–43.91) | 35.59 (30.32–40.05) | 32.93 (26.87–41.31) | <0.001 | 1.000 | 0.016 | 0.001 | 0.126 | 0.014 | 1.000 |
G.MaxM SMI (cm2/m2) | 15.18 (13.15–17.32) | 13.97 (11.59–16.58) | 12.29 (10.56–15.96) | 11.27 (7.75–13.29) | <0.001 | 0.047 | <0.001 | <0.001 | 0.646 | 0.001 | 0.338 |
G.Med/MinM CSA (cm2) | 44.46 (39.99–48.69) | 43.48 (38.13–47.88) | 45.16 (39.90–52.04) | 37.24 (31.01–42.23) | <0.001 | 1.000 | 1.000 | <0.001 | 1.000 | <0.001 | <0.001 |
G.Med/MinM radiodensity (HU) | 48.43 (43.73–51.50) | 49.75 (44.15–51.53) | 46.29 (42.93–48.29) | 40.63 (29.27–46.35) | <0.001 | 1.000 | 0.138 | <0.001 | 0.106 | <0.001 | 0.034 |
G.Med/MinM SMI (cm2/m2) | 14.82 (13.47–16.13) | 14.84 (12.97–16.04) | 15.51 (13.25–17.68) | 12.63 (10.40–14.18) | <0.001 | 1.000 | 0.736 | <0.001 | 0.913 | <0.001 | <0.001 |
Correlation Coefficients (rs) | G.MaxM CSA | G.MaxM Radiodensity | G.MaxM SMI | G.Med/MinM CSA | G.Med/MinM Radiodensity | G.Med/MinM SMI |
---|---|---|---|---|---|---|
Sex | 0.117 | 0.133 | −0.056 | 0.404 c | 0.118 | 0.219 b |
Age at outpatient visit (years) | 0.202 b | −0.157 a | 0.242 b | 0.219 b | −0.172 a | 0.270 c |
Age at onset (years) | 0.226 b | 0.075 | 0.236 b | 0.239 b | 0.212 b | 0.233 b |
Disease duration (years) | 0.023 | −0.274 c | 0.037 | 0.105 | −0.354 c | 0.149 |
Diagnosis delay (years) | −0.068 | −0.13 | −0.089 | 0.070 | −0.192 a | 0.067 |
Body mass index (kg/m2) | 0.470 c | −0.128 | 0.478 c | 0.432 c | 0.034 | 0.498 c |
Family history | −0.030 | 0.087 | −0.025 | −0.011 | 0.121 | −0.013 |
Use of non-steroidal anti-inflammatory drugs | −0.132 | −0.094 | −0.079 | −0.121 | −0.025 | −0.055 |
Use of csDMARDs | −0.047 | 0.042 | −0.013 | −0.092 | 0.131 | −0.035 |
Human leucocyte antigen-B27 positivity | −0.129 | 0.032 | −0.118 | 0.012 | 0.059 | 0.084 |
Erythrocyte sedimentation rate (mm) | −0.192 a | −0.152 | −0.150 | −0.255 b | −0.268 b | −0.169 a |
C-reactive protein (mg/L) | −0.191 a | −0.113 | −0.198 a | −0.128 | −0.182 a | −0.101 |
Albumin (g/L) | 0.185 a | 0.099 | 0.083 | 0.233 b | 0.204 a | 0.133 |
Hemoglobin (g/L) | 0.251 b | 0.105 | 0.153 | 0.270 b | 0.128 | 0.152 |
BASDAI | −0.123 | −0.103 | −0.049 | −0.166 a | −0.178 a | −0.089 |
Bath ankylosing spondylitis functional index | −0.056 | −0.144 | −0.033 | −0.177 a | −0.277 c | −0.132 |
Ankylosing spondylitis quality of life | −0.012 | −0.098 | 0.048 | −0.070 | −0.224 b | −0.009 |
SF-12 physical component summary | 0.006 | 0.124 | −0.036 | 0.108 | 0.329 c | 0.042 |
SF-12 mental component summary | 0.045 | −0.129 | 0.022 | 0.064 | −0.103 | 0.042 |
Harris hip score | 0.243 b | 0.227 b | 0.249 b | 0.262 b | 0.402 c | 0.270 c |
BASRI-hip grade | −0.300 c | −0.248 b | −0.305 c | −0.278 c | −0.423 c | −0.258 b |
Dependent Variables | R2 | Adjusted R2 | Independent Variables | Beta Coefficient | Standardized Beta coefficient | p Value | 95% CI | |
---|---|---|---|---|---|---|---|---|
G.MaxM CSA | 0.376 | 0.368 | Sex | 6.644 | 0.192 | <0.001 | 3.628 | 9.659 |
Age | 0.001 | 0.001 | 0.993 | −0.118 | 0.119 | |||
BMI | 1.037 | 0.372 | <0.001 | 0.790 | 1.285 | |||
Group | −4.153 | −0.390 | <0.001 | −5.078 | −3.229 | |||
G.MaxM density | 0.196 | 0.187 | Sex | 3.692 | 0.149 | 0.003 | 1.250 | 6.134 |
Age | −0.241 | −0.253 | <0.001 | −0.337 | −0.145 | |||
BMI | −0.205 | −0.103 | 0.044 | −0.406 | −0.005 | |||
Group | −2.253 | −0.297 | <0.001 | −3.001 | −1.504 | |||
G.MaxM SMI | 0.338 | 0.330 | Sex | 0.433 | 0.038 | 0.400 | −0.577 | 1.443 |
Age | 0.017 | 0.040 | 0.393 | −0.022 | 0.057 | |||
BMI | 0.356 | 0.392 | <0.001 | 0.273 | 0.439 | |||
Group | −1.264 | −0.365 | <0.001 | −1.574 | −0.954 | |||
G.Med/MinM CSA | 0.481 | 0.475 | Sex | 13.281 | 0.499 | <0.001 | 11.171 | 15.390 |
Age | 0.134 | 0.131 | 0.002 | 0.052 | 0.217 | |||
BMI | 0.806 | 0.377 | <0.001 | 0.633 | 0.979 | |||
Group | −1.509 | −0.185 | <0.001 | −2.156 | −0.862 | |||
G.Med/MinM density | 0.207 | 0.198 | Sex | 2.362 | 0.103 | 0.040 | 0.107 | 4.618 |
Age | −0.187 | −0.211 | <0.001 | −0.276 | −0.099 | |||
BMI | 0.120 | 0.065 | 0.204 | −0.065 | 0.305 | |||
Group | −2.637 | −0.373 | <0.001 | −3.329 | −1.946 | |||
G.Med/MinM SMI | 0.374 | 0.366 | Sex | 2.802 | 0.330 | <0.001 | 2.065 | 3.539 |
Age | 0.062 | 0.188 | <0.001 | 0.033 | 0.090 | |||
BMI | 0.285 | 0.418 | <0.001 | 0.225 | 0.346 | |||
Group | −0.333 | −0.128 | 0.004 | −0.559 | −0.107 |
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Bian, T.; Zhang, L.; Man, S.; Li, H.; Li, W.; Zhou, Y. A Cross-Sectional Study on Gluteal Muscles in Patients with Ankylosing Spondylitis at Different Stages of Hip Involvement. J. Clin. Med. 2023, 12, 464. https://doi.org/10.3390/jcm12020464
Bian T, Zhang L, Man S, Li H, Li W, Zhou Y. A Cross-Sectional Study on Gluteal Muscles in Patients with Ankylosing Spondylitis at Different Stages of Hip Involvement. Journal of Clinical Medicine. 2023; 12(2):464. https://doi.org/10.3390/jcm12020464
Chicago/Turabian StyleBian, Tao, Liang Zhang, Siliang Man, Hongchao Li, Weiyi Li, and Yixin Zhou. 2023. "A Cross-Sectional Study on Gluteal Muscles in Patients with Ankylosing Spondylitis at Different Stages of Hip Involvement" Journal of Clinical Medicine 12, no. 2: 464. https://doi.org/10.3390/jcm12020464
APA StyleBian, T., Zhang, L., Man, S., Li, H., Li, W., & Zhou, Y. (2023). A Cross-Sectional Study on Gluteal Muscles in Patients with Ankylosing Spondylitis at Different Stages of Hip Involvement. Journal of Clinical Medicine, 12(2), 464. https://doi.org/10.3390/jcm12020464