Molecular and Structural Biomarkers of Inflammation at Two Years After Acute Anterior Cruciate Ligament Injury Do Not Predict Structural Knee Osteoarthritis at Five Years.
Adult
Anterior Cruciate Ligament Injuries
/ diagnostic imaging
Area Under Curve
Biomarkers
/ metabolism
Female
Humans
Inflammation
/ diagnostic imaging
Interferon-gamma
/ immunology
Interleukin-10
/ immunology
Interleukin-12
/ immunology
Interleukin-6
/ immunology
Interleukin-8
/ immunology
Linear Models
Magnetic Resonance Imaging
Male
Osteoarthritis, Knee
/ epidemiology
Prognosis
ROC Curve
Synovial Fluid
/ immunology
Tumor Necrosis Factor-alpha
/ immunology
Young Adult
Journal
Arthritis & rheumatology (Hoboken, N.J.)
ISSN: 2326-5205
Titre abrégé: Arthritis Rheumatol
Pays: United States
ID NLM: 101623795
Informations de publication
Date de publication:
02 2019
02 2019
Historique:
received:
18
01
2018
accepted:
02
08
2018
pubmed:
7
8
2018
medline:
5
11
2019
entrez:
7
8
2018
Statut:
ppublish
Résumé
To determine the role of inflammatory biomarkers at 2 years post-anterior cruciate ligament (ACL) injury to predict radiographic knee osteoarthritis (OA) and magnetic resonance imaging (MRI)-defined knee OA at 5 years postinjury, with a secondary aim of estimating the concordance of inflammatory biomarkers assessed by MRI and synovial fluid (SF) analysis. We studied 113 patients with acute ACL injury. Knee scans using 1.5T MRIs were read for Hoffa- and effusion-synovitis. Biomarkers of inflammation that we assessed included interleukin-6 (IL-6), IL-8, IL-10, tumor necrosis factor, and interferon-ɣ in serum and SF, and IL-12p70 in serum. We defined the outcome as radiographic knee OA (ROA) or MRI-defined OA (MROA) at 5 years. The area under the receiver operating characteristic curve (AUC), sensitivity, and specificity were evaluated in models that included MRI features only (model 1), inflammation biomarkers only (serum [model 2a] or SF [model 2b]), both MRI features and serum biomarkers (model 3a), or both MRI features and SF (model 3b) biomarkers. Linear regression analysis was used to evaluate the association between MRI features and SF biomarkers. At 5 years postinjury, ROA was present in 26% of the injured knees, and MROA was present in 32%. The AUCs for ROA in each model were 0.44 (95% confidence interval [95% CI] 0.42, 0.47) for model 1, 0.62 (95% CI 0.59, 0.65) for model 2a, 0.53 (95% CI 0.50, 0.56) for model 2b, 0.58 (95% CI 0.55, 0.61) for model 3a, and 0.50 (95% CI 0.46, 0.53) for model 3b. The AUCs for MROA in each model were 0.67 (95% CI 0.64, 0.70) for model 1, 0.49 (95% CI 0.47, 0.52) for model 2a, 0.56 (95% CI 0.52, 0.59) for model 2b, 0.65 (95% CI 0.61, 0.68) for model 3a, and 0.69 (95% CI 0.66, 0.72) for model 3b. The concordance between MRI and SF biomarkers was statistically significant only for effusion-synovitis and IL-8. Neither MRI-detected inflammation nor selected SF/serum inflammation biomarkers at 2 years postinjury predicted ROA or MROA at 5 years postinjury. Concordance between MRI and SF inflammatory biomarkers was weak.
Substances chimiques
Biomarkers
0
CXCL8 protein, human
0
IFNG protein, human
0
IL10 protein, human
0
IL6 protein, human
0
Interleukin-6
0
Interleukin-8
0
TNF protein, human
0
Tumor Necrosis Factor-alpha
0
Interleukin-10
130068-27-8
Interleukin-12
187348-17-0
Interferon-gamma
82115-62-6
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
238-243Subventions
Organisme : Swedish Research Council
Pays : International
Organisme : Swedish National Center for Research in Sports
Pays : International
Organisme : Crafoord Foundation
Pays : International
Commentaires et corrections
Type : CommentIn
Type : CommentIn
Informations de copyright
© 2018, American College of Rheumatology.