| Literature DB >> 34397265 |
Christina Strack1, Susanne Bauer1, Ute Hubauer1, Ekrem Ücer1, Christoph Birner2, Andreas Luchner3, Lars Maier1, Carsten Jungbauer1.
Abstract
Aim: The study focused on biomarkers of kidney injury as predictors of mortality in patients with chronic heart failure (CHF) in a long-term follow-up (median 104 months). Methods/results: KIM-1, NAG and NGAL were assessed from urine, NT-proBNP from blood samples. 149 patients (age 62 ± 12 years) with CHF (mean EF 30% [IQR 24-40%]) were enrolled. 79 (53%) patients died. Cox regression analysis revealed Log2NAG (HR: 1.46, CI: 1.12-1.89), Log2KIM-1 (HR: 1.23, CI: 1.02-1.49) and Log2NT-proBNP (HR: 1.50, CI: 1.32-1.72) as significant predictors of all-cause mortality as opposed to Log2NGAL (HR: 1.04, CI: 0.90-1.20). Log2NAG remained a significant predictor of all-cause mortality in a multivariate Cox regression model but lost its predictive value in combination with Log2NT-proBNP.Entities:
Keywords: KIM-1; NAG; NGAL; cardiorenal syndrome; chronic heart failure
Mesh:
Substances:
Year: 2021 PMID: 34397265 DOI: 10.2217/bmm-2020-0366
Source DB: PubMed Journal: Biomark Med ISSN: 1752-0363 Impact factor: 2.851