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04.03.2019 | Original article | Ausgabe 7/2019

Clinical and Experimental Nephrology 7/2019

High levels of stromal cell-derived factor-1α predict short-term progression of renal dysfunction in patients with coronary artery disease

Zeitschrift:
Clinical and Experimental Nephrology > Ausgabe 7/2019
Autoren:
Manabu Uematsu, Takamitsu Nakamura, Toru Yoshizaki, Yosuke Watanabe, Juntaro Deyama, Kazuhiro Watanabe, Tsuyoshi Kobayashi, Daisuke Fujioka, Yukio Saito, Kazuto Nakamura, Kenichi Kawabata, Jun-ei Obata, Kiyotaka Kugiyama
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Abstract

Background

Stromal cell-derived factor-1α (SDF-1α) is an inflammatory chemokine that plays a critical role in cardiovascular disease. Although persistent inflammation causes renal dysfunction, it remains unclear whether SDF-1α is related to progression of chronic kidney disease. This study examined whether high levels of SDF-1α are associated with future declines in renal function in patients with coronary artery disease (CAD).

Methods

Plasma levels of SDF-1α in the peripheral blood were measured by enzyme-linked immunosorbent assay in 344 patients with CAD. All patients were followed for 24 months or until the occurrence of renal dysfunction, defined as ≥ 25% decrease in estimated glomerular filtration rate (eGFR) from baseline.

Results

During the follow-up period, 36 patients developed renal dysfunction. Multivariate logistic regression analysis showed that high plasma levels of SDF-1α were significantly associated with progression of renal dysfunction (odds ratio 1.65; 95% confidence intervals 1.07–2.35, p = 0.03). In addition, high plasma levels of SDF-1α had a significant incremental effect on the predictive value of known risk factors for renal dysfunction in analyses using net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (NRI 0.58 [0.07–1.02], p < 0.01; and IDI 0.030 [0.001–0.085], p = 0.02).

Conclusion

High plasma levels of SDF-1α were associated with the short-term decline of eGFR in patients with CAD. Thus, SDF-1α may be useful for predicting the progression of renal dysfunction in patients with CAD.

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