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Growth Differentiation Factor-15 as a Potent Predictor of Long-Term Mortality among Subjects with Osteoarthritis

Background: Subjects with osteoarthritis (OA) are at increased risk for cardiovascular (CV) and all-cause mortality. Whether biomarkers improve outcome prediction in these patients remains to be elucidated. We investigated the association between growth differentiation factor 15 (GDF-15), a novel st...

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Autores principales: Arnold, Natalie, Rehm, Martin, Büchele, Gisela, Peter, Raphael Simon, Brenner, Rolf Erwin, Günther, Klaus-Peter, Brenner, Hermann, Koenig, Wolfgang, Rothenbacher, Dietrich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7650798/
https://www.ncbi.nlm.nih.gov/pubmed/32993054
http://dx.doi.org/10.3390/jcm9103107
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author Arnold, Natalie
Rehm, Martin
Büchele, Gisela
Peter, Raphael Simon
Brenner, Rolf Erwin
Günther, Klaus-Peter
Brenner, Hermann
Koenig, Wolfgang
Rothenbacher, Dietrich
author_facet Arnold, Natalie
Rehm, Martin
Büchele, Gisela
Peter, Raphael Simon
Brenner, Rolf Erwin
Günther, Klaus-Peter
Brenner, Hermann
Koenig, Wolfgang
Rothenbacher, Dietrich
author_sort Arnold, Natalie
collection PubMed
description Background: Subjects with osteoarthritis (OA) are at increased risk for cardiovascular (CV) and all-cause mortality. Whether biomarkers improve outcome prediction in these patients remains to be elucidated. We investigated the association between growth differentiation factor 15 (GDF-15), a novel stress-responsive cytokine, and long-term all-cause mortality among OA patients. Methods: Within the Ulm Osteoarthritis Study, GDF-15 has been measured in the serum of 636 subjects, who underwent hip or knee arthroplasty between 1995 and 1996 (median age 65 years). Results: During a median follow-up of 19.7 years, a total of 402 deaths occurred. GDF-15 was inversely associated with walking distance. Compared to the bottom quartile (Q), subjects within the top quartile of GDF-15 demonstrated a 2.69-fold increased risk of dying (hazard ratio (HR) (95% confidence interval (CI)) 2.69 (1.82–3.96) adjusted for age, sex, BMI, smoking status, localization of OA, diabetes, maximum walking distance, total cholesterol, and cystatin C. Further adjustment for NT-proBNP, troponin I, and hs-C-reactive protein did not change the results appreciably (HR (95%CI) 1.56 (1.07–2.28); 1.75 (1.21–2.55); 2.32 (1.55–3.47) for Q2, Q3, and Q4 respectively, p for trend < 0.001). Conclusions: In subjects with OA, GDF-15 represents a potent predictor of decreased survival over >20 years, independently of conventional CV risk factors, renal, cardiac, and inflammatory biomarkers as well as walking disability, previously associated with increased mortality and lower extremity OA.
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spelling pubmed-76507982020-11-10 Growth Differentiation Factor-15 as a Potent Predictor of Long-Term Mortality among Subjects with Osteoarthritis Arnold, Natalie Rehm, Martin Büchele, Gisela Peter, Raphael Simon Brenner, Rolf Erwin Günther, Klaus-Peter Brenner, Hermann Koenig, Wolfgang Rothenbacher, Dietrich J Clin Med Article Background: Subjects with osteoarthritis (OA) are at increased risk for cardiovascular (CV) and all-cause mortality. Whether biomarkers improve outcome prediction in these patients remains to be elucidated. We investigated the association between growth differentiation factor 15 (GDF-15), a novel stress-responsive cytokine, and long-term all-cause mortality among OA patients. Methods: Within the Ulm Osteoarthritis Study, GDF-15 has been measured in the serum of 636 subjects, who underwent hip or knee arthroplasty between 1995 and 1996 (median age 65 years). Results: During a median follow-up of 19.7 years, a total of 402 deaths occurred. GDF-15 was inversely associated with walking distance. Compared to the bottom quartile (Q), subjects within the top quartile of GDF-15 demonstrated a 2.69-fold increased risk of dying (hazard ratio (HR) (95% confidence interval (CI)) 2.69 (1.82–3.96) adjusted for age, sex, BMI, smoking status, localization of OA, diabetes, maximum walking distance, total cholesterol, and cystatin C. Further adjustment for NT-proBNP, troponin I, and hs-C-reactive protein did not change the results appreciably (HR (95%CI) 1.56 (1.07–2.28); 1.75 (1.21–2.55); 2.32 (1.55–3.47) for Q2, Q3, and Q4 respectively, p for trend < 0.001). Conclusions: In subjects with OA, GDF-15 represents a potent predictor of decreased survival over >20 years, independently of conventional CV risk factors, renal, cardiac, and inflammatory biomarkers as well as walking disability, previously associated with increased mortality and lower extremity OA. MDPI 2020-09-26 /pmc/articles/PMC7650798/ /pubmed/32993054 http://dx.doi.org/10.3390/jcm9103107 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Arnold, Natalie
Rehm, Martin
Büchele, Gisela
Peter, Raphael Simon
Brenner, Rolf Erwin
Günther, Klaus-Peter
Brenner, Hermann
Koenig, Wolfgang
Rothenbacher, Dietrich
Growth Differentiation Factor-15 as a Potent Predictor of Long-Term Mortality among Subjects with Osteoarthritis
title Growth Differentiation Factor-15 as a Potent Predictor of Long-Term Mortality among Subjects with Osteoarthritis
title_full Growth Differentiation Factor-15 as a Potent Predictor of Long-Term Mortality among Subjects with Osteoarthritis
title_fullStr Growth Differentiation Factor-15 as a Potent Predictor of Long-Term Mortality among Subjects with Osteoarthritis
title_full_unstemmed Growth Differentiation Factor-15 as a Potent Predictor of Long-Term Mortality among Subjects with Osteoarthritis
title_short Growth Differentiation Factor-15 as a Potent Predictor of Long-Term Mortality among Subjects with Osteoarthritis
title_sort growth differentiation factor-15 as a potent predictor of long-term mortality among subjects with osteoarthritis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7650798/
https://www.ncbi.nlm.nih.gov/pubmed/32993054
http://dx.doi.org/10.3390/jcm9103107
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