Trajectory of cartilage loss within 4 years of knee replacement - a nested case-control study from the Osteoarthritis Initiative

Osteoarthritis and Cartilage

Volumn 22, Issue 10, 2014, Pages 1542-1549

  Eckstein, F ^a,b   Boudreau, R M ^c   Wang, Z ^d   Hannon, M J ^d   Wirth, W ^a,b   Cotofana, S ^a,b   Guermazi, A ^e   Roemer, F ^e,f   Nevitt, M ^g   John, M R ^h   Ladel, C ⁱ   Sharma, L ^j   Hunter, D J ^k   Kwoh, C K ^d,l  

^a PARACELSUS MEDICAL UNIVERSITY   (Austria)

^b Chondrometrics GmbH   (Germany)

^c UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH   (United States)

^d UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^e BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^f UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^g UNIVERSITY OF CALIFORNIA   (United States)

^h NOVARTIS PHARMA AG   (Switzerland)

ⁱ MERCK KGAA   (Germany)

^j NORTHWESTERN UNIVERSITY   (United States)

^k UNIVERSITY OF SYDNEY   (Australia)

^l UNIVERSITY OF ARIZONA   (United States)

more..

Author keywords

Cartilage loss; Knee arthroplasty; Knee osteoarthritis; Knee replacement; Magnetic resonance imaging

Indexed keywords

ADULT; AGED; ARTICLE; BODY MASS; CARTILAGE; CARTILAGE LOSS; CONTROLLED STUDY; FEMALE; FEMORO TIBIAL CARTILAGE THICKNESS; FOLLOW UP; HUMAN; KNEE ARTHROPLASTY; KNEE OSTEOARTHRITIS; MAJOR CLINICAL STUDY; MALE; MUSCULOSKELETAL SYSTEM PARAMETERS; NUCLEAR MAGNETIC RESONANCE IMAGING; PAIN; TIBIA; ARTICULAR CARTILAGE; CARTILAGE DISEASES; CASE CONTROL STUDY; COMPLICATION; DISEASE COURSE; KNEE; LONGITUDINAL STUDY; MIDDLE AGED; OSTEOARTHRITIS, KNEE; PATHOLOGY; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ARTHROPLASTY, REPLACEMENT, KNEE; CARTILAGE DISEASES; CARTILAGE, ARTICULAR; CASE-CONTROL STUDIES; DISEASE PROGRESSION; FEMALE; HUMANS; KNEE JOINT; LONGITUDINAL STUDIES; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; OSTEOARTHRITIS, KNEE;

EID: 84908230904     PISSN: 10634584     EISSN: 15229653     Source Type: Journal    
DOI: 10.1016/j.joca.2014.04.016     Document Type: Article

References (38)

1. Lawrence R.C., Felson D.T., Helmick C.G., Arnold L.M., Choi H., Deyo R.A., et al. Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part II. Arthritis Rheum 2008, 58:26-35.
2. Losina E., Weinstein A.M., Reichmann W.M., Burbine S.A., Solomon D.H., Daigle M.E., et al. Lifetime risk and age at diagnosis of symptomatic knee osteoarthritis in the US. Arthritis Care Res (Hoboken) 2013, 65:703-711.
3. Guccione A.A., Felson D.T., Anderson J.J., Anthony J.M., Zhang Y., Wilson P.W., et al. The effects of specific medical conditions on the functional limitations of elders in the Framingham Study. Am J Public Health 1994, 84:351-358.
4. Vos T., Flaxman A.D., Naghavi M., Lozano R., Michaud C., Ezzati M., et al. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 380:2163-2196.
5. Losina E., Walensky R.P., Reichmann W.M., Holt H.L., Gerlovin H., Solomon D.H., et al. Impact of obesity and knee osteoarthritis on morbidity and mortality in older Americans. Ann Intern Med 2011, 154:217-226.
6. Wright E.A., Katz J.N., Cisternas M.G., Kessler C.L., Wagenseller A., Losina E. Impact of knee osteoarthritis on health care resource utilization in a US population-based national sample. Med Care 2010, 48:785-791.
7. Pelletier J.P., Cooper C., Peterfy C., Reginster J.Y., Brandi M.L., Bruyere O., et al. What is the predictive value of MRI for the occurrence of knee replacement surgery in knee osteoarthritis?. Ann Rheum Dis 2013, 72:1594-1604.
8. Weinstein A.M., Rome B.N., Reichmann W.M., Collins J.E., Burbine S.A., Thornhill T.S., et al. Estimating the burden of total knee replacement in the United States. JBone Joint Surg Am 2013, 95:385-392.
9. Cicuttini F.M., Jones G., Forbes A., Wluka A.E. Rate of cartilage loss at two years predicts subsequent total knee arthroplasty: a prospective study. Ann Rheum Dis 2004, 63:1124-1127.
10. Cicuttini F., Hankin J., Jones G., Wluka A. Comparison of conventional standing knee radiographs and magnetic resonance imaging in assessing progression of tibiofemoral joint osteoarthritis. Osteoarthritis Cartilage 2005, 13:722-727.
11. Tanamas S.K., Wluka A.E., Pelletier J.P., Martel-Pelletier J., Abram F., Wang Y., et al. The association between subchondral bone cysts and tibial cartilage volume and risk of joint replacement in people with knee osteoarthritis: a longitudinal study. Arthritis Res Ther 2010, 12:R58.
12. Raynauld J.P., Martel-Pelletier J., Haraoui B., Choquette D., Dorais M., Wildi L.M., et al. Risk factors predictive of joint replacement in a 2-year multicentre clinical trial in knee osteoarthritis using MRI: results from over 6 years of observation. Ann Rheum Dis 2011, 70:1382-1388.
13. Eckstein F., Nevitt M., Gimona A., Picha K., Lee J.H., Davies R.Y., et al. Rates of change and sensitivity to change in cartilage morphology in healthy knees and in knees with mild, moderate, and end-stage radiographic osteoarthritis: results from 831 participants from the osteoarthritis initiative. Arthritis Care Res (Hoboken) 2010, 63:311-319.
14. Wirth W., Buck R., Nevitt M., Le Graverand M.P., Benichou O., Dreher D., et al. MRI-based extended ordered values more efficiently differentiate cartilage loss in knees with and without joint space narrowing than region-specific approaches using MRI or radiography - data from the OA initiative. Osteoarthritis Cartilage 2011, 19:689-699.
15. Wirth W., Nevitt M., Le Graverand M.P., Lynch J., Maschek S., Hudelmaier M., et al. Lateral and medial joint space narrowing predict subsequent cartilage loss in the narrowed, but not in the non-narrowed femorotibial compartment - data from the Osteoarthritis Initiative. Osteoarthritis Cartilage 2014, 22(1):63-70.
16. Eckstein F., Kwoh C.K., Boudreau R., Wang Z., Hannon M., Cotofana S., et al. Quantitative magnetic resonance imaging measures of cartilage predict knee replacement - a case-control study from the Osteoarthritis Initiative. Ann Rheum Dis 2013, 707-714.
17. Eckstein F., Wirth W., Nevitt M.C. Recent advances in osteoarthritis imaging - the Osteoarthritis Initiative. Nat Rev Rheumatol 2012, 8:622-630.
18. Eckstein F., Mc Culloch C.E., Lynch J.A., Nevitt M., Kwoh C.K., Maschek S., et al. How do short-term rates of femorotibial cartilage change compare to long-term changes? Four year follow-up data from the Osteoarthritis Initiative. Osteoarthritis Cartilage 2012, 20:1250-1257.
19. Peterfy C.G., Schneider E., Nevitt M. The osteoarthritis initiative: report on the design rationale for the magnetic resonance imaging protocol for the knee. Osteoarthritis Cartilage 2008, 16:1433-1441.
20. Eckstein F., Hudelmaier M., Wirth W., Kiefer B., Jackson R., Yu J., et al. Double echo steady state magnetic resonance imaging of knee articular cartilage at 3 Tesla: a pilot study for the Osteoarthritis Initiative. Ann Rheum Dis 2006, 65:433-441.
21. Wirth W., Nevitt M., Hellio Le Graverand M.P., Benichou O., Dreher D., Davies R.Y., et al. Sensitivity to change of cartilage morphometry using coronal FLASH, sagittal DESS, and coronal MPR DESS protocols - comparative data from the Osteoarthritis Initiative (OAI). Osteoarthritis Cartilage 2010, 18:547-554.
22. Wirth W., Eckstein F. Atechnique for regional analysis of femorotibial cartilage thickness based on quantitative magnetic resonance imaging. IEEE Trans Med Imaging 2008, 27:737-744.
23. Liang K.Y., Zeger S.L. Longitudinal data analysis using generalized linear models. Biometrika 1986, 73:13-22.
24. Fay M.P., Graubard B.I., Freedman L.S., Midthune D.N. Conditional logistic regression with sandwich estimators: application to a meta-analysis. Biometrics 1998, 54:195-208.
25. Pelletier J.P., Raynauld J.P., Berthiaume M.J., Abram F., Choquette D., Haraoui B., et al. Risk factors associated with the loss of cartilage volume on weight-bearing areas in knee osteoarthritis patients assessed by quantitative magnetic resonance imaging: a longitudinal study. Arthritis Res Ther 2007, 9:R74.
26. Saunders J., Ding C., Cicuttini F., Jones G. Radiographic osteoarthritis and pain are independent predictors of knee cartilage loss: a prospective study. Intern Med J 2012, 42(3):274-280.
27. Eckstein F., Cotofana S., Wirth W., Nevitt M., John M.R., Dreher D., et al. Greater rates of cartilage loss in painful knees than in pain-free knees after adjustment for radiographic disease stage: data from the osteoarthritis initiative. Arthritis Rheum 2011, 63:2257-2267.
28. Illingworth K.D., El B.Y., Siewert K., Scaife S.L., El-Amin S., Saleh K.J. Correlation of WOMAC and KOOS scores to tibiofemoral cartilage loss on plain radiography and 3 Tesla MRI: data from the osteoarthritis initiative. Knee Surg Sports Traumatol Arthrosc 2013, [Epub ahead of print].
29. Janes H., Pepe M.S. Matching in studies of classification accuracy: implications for analysis, efficiency, and assessment of incremental value. Biometrics 2008, 64:1-9.
30. Boudreau R.M., Hunter D.J., Wang Z., Roemer F., Eckstein F., Hannon M.J., et al. Avirtual knee joint replacement clinical endpoint based on longitudinal trends and thresholds in KOOS knee pain and function in Osteoarthritis Initiative participants. Arthritis Rheum 2012, 64(Suppl):S1040. (Abstract).
31. Eckstein F., Cicuttini F., Raynauld J.P., Waterton J.C., Peterfy C. Magnetic resonance imaging (MRI) of articular cartilage in knee osteoarthritis (OA): morphological assessment. Osteoarthritis Cartilage 2006, 14(Suppl 1):46-75.
32. Eckstein F., Buck R.J., Burstein D., Charles H.C., Crim J., Hudelmaier M., et al. Precision of 3.0 Tesla quantitative magnetic resonance imaging of cartilage morphology in a multicentre clinical trial. Ann Rheum Dis 2008, 67:1683-1688.
33. Wirth W., Hellio Le Graverand M.P., Wyman B.T., Maschek S., Hudelmaier M., Hitzl W., et al. Regional analysis of femorotibial cartilage loss in a subsample from the Osteoarthritis Initiative progression subcohort. Osteoarthritis Cartilage 2009, 17:291-297.
34. Hudelmaier M., Wirth W., Wehr B., Kraus V., Wyman B.T., Hellio Le Graverand M.P., et al. Femorotibial cartilage morphology: reproducibility of different metrics and femoral regions, and sensitivity to change in disease. Cells Tissues Organs 2010, 192:340-350.
35. Wirth W., Larroque S., Davies R.Y., Nevitt M., Gimona A., Baribaud F., et al. Comparison of 1-year vs 2-year change in regional cartilage thickness in osteoarthritis results from 346 participants from the Osteoarthritis Initiative. Osteoarthritis Cartilage 2011, 19:74-83.
36. Ravi B., Croxford R., Reichmann W.M., Losina E., Katz J.N., Hawker G.A. The changing demographics of total joint arthroplasty recipients in the United States and Ontario from 2001 to 2007. Best Pract Res Clin Rheumatol 2012, 26:637-647.
37. Guidance for industry on clinical development programs fordrugs, devices and biological products intended for thetreatment of osteoarthritis (OA) http://www%20fda%20gov//GuidanceComlianceRegulatoryInformation/GUidances/ucm071577%20pdf.
38. Bauer D.C., Hunter D.J., Abramson S.B., Attur M., Corr M., Felson D., et al. Classification of osteoarthritis biomarkers: a proposed approach. Osteoarthritis Cartilage 2006, 14:723-727.