Clin Res Cardiol (2022). https://doi.org/10.1007/s00392-022-02002-5 |
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Impact of inflammatory phenotype on prognostic discrimination for the novel biomarker cellular communication network factor 1 (CCN1) in patients with dilated cardiomyopathy | ||
R. Klingenberg1, S. Groß2, K. Lehnert2, D. Wegner2, C. W. Hamm3, S. B. Felix2, T. Keller4, M. Dörr2 | ||
1Abteilung für Kardiologie, Kerckhoff Klinik GmbH, Bad Nauheim; 2Klinik und Poliklinik für Innere Medizin B, Universitätsmedizin Greifswald, Greifswald; 3Medizinische Klinik I - Kardiologie und Angiologie, Universitätsklinikum Gießen und Marburg GmbH, Gießen; 4Franz-Groedel-Institut (FGI), Justus-Liebig-Universität Giessen, Bad Nauheim; | ||
Objective Methods Results A total of 283 predominantly male DCM patients (78.5% males) with a median age of 55.7 (interquartile range [IQR 48.2, 65.7]) years and predominantly recent onset of disease (3.8 [IQR 1.1, 20.5] months) with a severely reduced LVEF (31 [IQR 25, 37] %), increased LVEDD (67.0 [IQR 62.8, 72.0] mm), and normal eGFR (90.9 [IQR73.1, 102.4] ml/min) were analyzed. During a median follow-up of 12.38 [IQR 10.53, 14.05] years, a total of 107 (37.8%) patients died. Patients in the highest CCN1 tertile had a significantly higher mortality risk than those in the lower tertile (HR 1.82; 95% CI 1.06, 3.14; P=0.030) in adjusted multivariable Cox regression models. Adding CCN1 to the MAGGIC risk score improved c-statistics for prognostic accuracy of all-cause mortality at 6 years (0.624 to 0.645, p=0.012), unlike NT-proBNP (0.624 to 0.630, p=0.123). Patients classified as DCMi (n=128) had significantly lower CCN1 levels compared with classical DCM (n=155) (175.7±132.4 vs. 225.7±213.4 pg/ml, P=0.022). Inflammation status (DCMi vs DCM) had no significant impact (Pinteraction=0.28) on the association of CCN1 and all-cause mortality (Fig. 1). Conclusion
Figure 1 Legend: Estimated survival curves for CCN1 serum concentration tertiles stratified by DCM or DCMi phenotype based on a multivariable adjusted Cox proportional hazards model. |
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https://dgk.org/kongress_programme/jt2022/aV92.html |