Strack Christina, Bauer Susanne, Hubauer Ute, Ücer Ekrem, Birner Christoph, Luchner Andreas, Maier Lars, Jungbauer Carsten
Clinic of Internal Medicine II, University Hospital of Regensburg, Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Clinic of Internal Medicine I, Klinikum St. Marien, Amberg, Mariahilfbergweg 7, 92224, Amberg, Germany.
Biomark Med. 2021 Sep;15(13):1143-1153. doi: 10.2217/bmm-2020-0366. Epub 2021 Aug 16.
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). 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. The 10-year follow-up suggests NAG as a predictive tubular marker in CHF patients.
这项研究聚焦于肾损伤生物标志物,将其作为慢性心力衰竭(CHF)患者长期随访(中位时间104个月)中死亡率的预测指标。从尿液中评估KIM-1、NAG和NGAL,从血样中评估NT-proBNP。纳入了149例CHF患者(年龄62±12岁,平均EF 30%[IQR 24 - 40%])。79例(53%)患者死亡。Cox回归分析显示,与Log2NGAL(HR:1.04,CI:0.90 - 1.20)相比,Log2NAG(HR:1.46,CI:1.12 - 1.89)、Log2KIM-1(HR:1.23,CI:1.02 - 1.49)和Log2NT-proBNP(HR:1.50,CI:1.32 - 1.72)是全因死亡率的显著预测指标。在多变量Cox回归模型中,Log2NAG仍然是全因死亡率的显著预测指标,但与Log2NT-proBNP联合时失去了其预测价值。10年随访表明,NAG是CHF患者的一种预测性肾小管标志物。