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Serum Cartilage Oligomeric Matrix Protein in Late-Stage Osteoarthritis: Association with Clinical Features, Renal Function, and Cardiovascular Biomarkers

Authors
  • Riegger, Jana
  • Rehm, Martin1
  • Büchele, Gisela1
  • Brenner, Hermann2
  • Günther, Klaus-Peter
  • Rothenbacher, Dietrich1
  • Brenner, Rolf E.
  • 1 (D.R.)
  • 2 Network Aging Research, University of Heidelberg, 69115 Heidelberg, Germany
Type
Published Article
Journal
Journal of Clinical Medicine
Publisher
MDPI AG
Publication Date
Jan 18, 2020
Volume
9
Issue
1
Identifiers
DOI: 10.3390/jcm9010268
PMID: 31963737
PMCID: PMC7019234
Source
PubMed Central
Keywords
License
Green

Abstract

This study aimed to assess associations between serum cartilage oligomeric matrix protein (sCOMP) and phenotypic characteristics in late-stage hip and knee Osteoarthritis (OA) as well as its correlation with further serum markers of possible comorbidities in the Ulm Osteoarthritis Study. Moreover, the prognostic relevance of preoperative sCOMP concentrations for short-term functionality and pain outcomes after hip or knee joint replacement was explored. Preoperative serum samples and detailed information about the health status (i.e., WOMAC scores, Hannover Functionality Status (FFbH)) of 754 OA patients undergoing total joint replacement were included. Spearman rank-correlation coefficients and multiple linear regression models were used to evaluate the relationships between sCOMP, other serum markers, and health outcomes. There was a significant positive association between sCOMP and markers of renal (cystatin C, creatinine, and eGFR) and cardiac (e.g., NT-proBNP) impairment. Since renal failure might cause accumulation of sCOMP, additional adjustment with eGFR was performed. Preoperative sCOMP levels in knee OA but not hip OA patients were positively associated with FFbH, WOMAC function sub-scale and total WOMAC scale as well as the post-operative WOMAC stiffness sub-scale six months after surgery. Our data clearly demonstrate an association between sCOMP and renal function as well as other confounding factors, which should be considered in future biomarker studies.

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