Literature DB >> 32146485

Association of blood pressure with knee cartilage composition and structural knee abnormalities: data from the osteoarthritis initiative.

Walid Ashmeik1, Gabby B Joseph2, Michael C Nevitt3, Nancy E Lane4, Charles E McCulloch3, Thomas M Link2.   

Abstract

OBJECTIVE: To investigate the associations of systolic blood pressure (SBP) and diastolic blood pressure (DBP) with changes in knee cartilage composition and joint structure over 48 months, using magnetic resonance imaging (MRI) data from the Osteoarthritis Initiative (OAI).
MATERIALS AND METHODS: A total of 1126 participants with right knee Kellgren-Lawrence (KL) score 0-2 at baseline, no history of rheumatoid arthritis, blood pressure measurements at baseline, and cartilage T2 measurements at baseline and 48 months were selected from the OAI. Cartilage composition was assessed using MRI T2 measurements, including laminar and gray-level co-occurrence matrix texture analyses. Structural knee abnormalities were graded using the whole-organ magnetic resonance imaging score (WORMS). We performed linear regression, adjusting for age, sex, body mass index, physical activity, smoking status, alcohol use, KL score, number of anti-hypertensive medications, and number of nonsteroidal anti-inflammatory drugs.
RESULTS: Higher baseline DBP was associated with greater increases in global T2 (coefficient 0.22 (95% CI 0.09, 0.34), P = 0.004), global superficial layer T2 (coefficient 0.39 (95% CI 0.20, 0.58), P = 0.001), global contrast (coefficient 15.67 (95% CI 8.81, 22.53), P < 0.001), global entropy (coefficient 0.02 (95% CI 0.01, 0.03) P = 0.011), and global variance (coefficient 9.14 (95% CI 5.18, 13.09), P < 0.001). Compared with DBP, the associations of SBP with change in cartilage T2 parameters and WORMS subscores showed estimates of smaller magnitude.
CONCLUSION: Higher baseline DBP was associated with higher and more heterogenous cartilage T2 values over 48 months, indicating increased cartilage matrix degenerative changes.

Entities:  

Keywords:  Blood pressure; Cartilage; Knee osteoarthritis; Magnetic resonance imaging

Mesh:

Year:  2020        PMID: 32146485      PMCID: PMC7365750          DOI: 10.1007/s00256-020-03409-9

Source DB:  PubMed          Journal:  Skeletal Radiol        ISSN: 0364-2348            Impact factor:   2.199


  44 in total

1.  Association of magnetic resonance imaging-based knee cartilage T2 measurements and focal knee lesions with knee pain: data from the Osteoarthritis Initiative.

Authors:  Thomas Baum; Gabby B Joseph; Ahilan Arulanandan; Lorenzo Nardo; Warapat Virayavanich; Julio Carballido-Gamio; Michael C Nevitt; John Lynch; Charles E McCulloch; Thomas M Link
Journal:  Arthritis Care Res (Hoboken)       Date:  2012-02       Impact factor: 4.794

2.  Baseline mean and heterogeneity of MR cartilage T2 are associated with morphologic degeneration of cartilage, meniscus, and bone marrow over 3 years--data from the Osteoarthritis Initiative.

Authors:  G B Joseph; T Baum; H Alizai; J Carballido-Gamio; L Nardo; W Virayavanich; J A Lynch; M C Nevitt; C E McCulloch; S Majumdar; T M Link
Journal:  Osteoarthritis Cartilage       Date:  2012-04-11       Impact factor: 6.576

3.  Early T2 changes predict onset of radiographic knee osteoarthritis: data from the osteoarthritis initiative.

Authors:  Hans Liebl; Gabby Joseph; Michael C Nevitt; Nathan Singh; Ursula Heilmeier; Karupppasamy Subburaj; Pia M Jungmann; Charles E McCulloch; John A Lynch; Nancy E Lane; Thomas M Link
Journal:  Ann Rheum Dis       Date:  2014-03-10       Impact factor: 19.103

4.  Association of diabetes mellitus and biochemical knee cartilage composition assessed by T2 relaxation time measurements: Data from the osteoarthritis initiative.

Authors:  Nattagan Chanchek; Alexandra S Gersing; Benedikt J Schwaiger; Michael C Nevitt; Jan Neumann; Gabby B Joseph; Nancy E Lane; Julia Zarnowski; Felix C Hofmann; Ursula Heilmeier; Charles E McCulloch; Thomas M Link
Journal:  J Magn Reson Imaging       Date:  2017-05-26       Impact factor: 4.813

5.  The feasibility of characterizing the spatial distribution of cartilage T(2) using texture analysis.

Authors:  G Blumenkrantz; R Stahl; J Carballido-Gamio; S Zhao; Y Lu; T Munoz; M-P Hellio Le Graverand-Gastineau; S K Jain; T M Link; S Majumdar
Journal:  Osteoarthritis Cartilage       Date:  2008-03-11       Impact factor: 6.576

6.  Association of metabolic risk factors with cartilage degradation assessed by T2 relaxation time at the knee: data from the osteoarthritis initiative.

Authors:  P M Jungmann; M S Kraus; H Alizai; L Nardo; T Baum; M C Nevitt; C E McCulloch; G B Joseph; J A Lynch; T M Link
Journal:  Arthritis Care Res (Hoboken)       Date:  2013-12       Impact factor: 4.794

7.  Progression of cartilage degeneration and clinical symptoms in obese and overweight individuals is dependent on the amount of weight loss: 48-month data from the Osteoarthritis Initiative.

Authors:  A S Gersing; M Solka; G B Joseph; B J Schwaiger; U Heilmeier; G Feuerriegel; M C Nevitt; C E McCulloch; T M Link
Journal:  Osteoarthritis Cartilage       Date:  2016-01-30       Impact factor: 6.576

8.  Texture analysis of cartilage T2 maps: individuals with risk factors for OA have higher and more heterogeneous knee cartilage MR T2 compared to normal controls--data from the osteoarthritis initiative.

Authors:  Gabby B Joseph; Thomas Baum; Julio Carballido-Gamio; Lorenzo Nardo; Warapat Virayavanich; Hamza Alizai; John A Lynch; Charles E McCulloch; Sharmila Majumdar; Thomas M Link
Journal:  Arthritis Res Ther       Date:  2011-09-20       Impact factor: 5.156

Review 9.  Osteoarthritis, obesity and weight loss: evidence, hypotheses and horizons - a scoping review.

Authors:  H Bliddal; A R Leeds; R Christensen
Journal:  Obes Rev       Date:  2014-04-22       Impact factor: 9.213

10.  Association between hypertension and risk of knee osteoarthritis: A meta-analysis of observational studies.

Authors:  Yi-Min Zhang; Jun Wang; Xiao-Guang Liu
Journal:  Medicine (Baltimore)       Date:  2017-08       Impact factor: 1.889

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  4 in total

1.  Machine learning to predict incident radiographic knee osteoarthritis over 8 Years using combined MR imaging features, demographics, and clinical factors: data from the Osteoarthritis Initiative.

Authors:  G B Joseph; C E McCulloch; M C Nevitt; T M Link; J H Sohn
Journal:  Osteoarthritis Cartilage       Date:  2021-11-18       Impact factor: 6.576

Review 2.  Hemodynamic stress shapes subchondral bone in osteoarthritis: An emerging hypothesis.

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4.  Association between current medication use and progression of radiographic knee osteoarthritis: data from the osteoarthritis initiative.

Authors:  Thomas A Perry; Xia Wang; Michael Nevitt; Christina Abdelshaheed; Nigel Arden; David J Hunter
Journal:  Rheumatology (Oxford)       Date:  2021-10-02       Impact factor: 7.580

  4 in total

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