Christian Albert1, Annemarie Albert1, Johanna Kube2, Rinaldo Bellomo3, Nicholas Wettersten4, Hermann Kuppe5, Sabine Westphal6, Michael Haase1, Anja Haase-Fielitz7. 1. Medical Faculty Otto-von-Guericke University, Magdeburg, Germany; Diaverum Deutschland, Potsdam, Germany. 2. Clinic of Nephrology and Hypertension, Diabetes and Endocrinology, Otto-von-Guericke University, Magdeburg, Germany; Department of Intensive Care, German Heart Center Leipzig, University Clinic, Leipzig, Germany. 3. Department of Intensive Care, The Austin Hospital, Melbourne, Australia. 4. Division of Cardiovascular Medicine, University of California, San Diego, La Jolla, Calif. 5. Department of Anesthesiology, The German Heart Center, Berlin, Germany. 6. Institute of Laboratory Medicine, Hospital Dessau, Dessau, Germany. 7. Brandenburg Medical School (MHB) and Heart Center Brandenburg, Department of Cardiology, Bernau, Germany; Institute of Social Medicine and Health Economics, Otto-von-Guericke University, Magdeburg, Germany. Electronic address: Anja.Haase-Fielitz@med.ovgu.de.
Abstract
OBJECTIVE: This study aimed to determine the biomarker-specific outcome patterns and short-and long-term prognosis of cardiac surgery-asoociated acute kidney injury (AKI) identified by standard criteria and/or urinary kidney biomarkers. METHODS: Patients enrolled (N = 200), originated a German multicenter study (NCT00672334). Standard risk injury, failure, loss, and end-stage renal disease classification (RIFLE) criteria (including serum creatinine and urine output) and urinary kidney biomarker test result (neutrophil gelatinase-associated lipocalin, midkine, interleukin 6, and proteinuria) were used for diagnosis of postoperative AKI. Primary end point was acute renal replacement therapy or in-hospital mortality. Long-term end points among others included 5-year mortality. Patients with single-biomarker-positive subclinical AKI (RIFLE negative) were identified. We controlled for systemic inflammation using C-reactive protein test. RESULTS: Urinary biomarkers (neutrophil gelatinase-associated lipocalin, midkine, and interleukin 6) were identified as independent predictors of the primary end point. Neutrophil gelatinase-associated lipocalin, midkine, or interleukin 6 positivity or de novo/worsening proteinuria identified 21.1%, 16.9%, 30.5%, and 48.0% more cases, respectively, with likely subclinical AKI (biomarker positive/RIFLE negative) additionally to cases with RIFLE positivity alone. Patients with likely subclinical AKI (neutrophil gelatinase-associated lipocalin or interleukin 6 positive) had increased risk of primary end point (adjusted hazard ratio, 7.18; 95% confidence interval, 1.52-33.93 [P = .013] and hazard ratio, 6.27; 95% confidence interval, 1.12-35.21 [P = .037]), respectively. Compared with biomarker-negative/RIFLE-positive patients, neutrophil gelatinase-associated lipocalin positive/RIFLE-positive or midkine-positive/RIFLE-positive patients had increased risk of primary end point (odds ratio, 9.6; 95% confidence interval, 1.4-67.3 [P = .033] and odds ratio, 14.7; 95% confidence interval, 2.0-109.2 [P = .011], respectively). Three percent to 11% of patients appear to be influenced by single-biomarker-positive subclinical AKI. During follow-up, kidney biomarker-defined short-term outcomes appeared to translate into long-term outcomes. CONCLUSIONS: Urinary kidney biomarkers identified RIFLE-negative patients with high-risk subclinical AKI as well as a higher risk subgroup of patients among RIFLE-AKI-positive patients. These findings support the concept that urinary biomarkers define subclinical AKI and higher risk subpopulations with worse long-term prognosis among standard patients with AKI.
OBJECTIVE: This study aimed to determine the biomarker-specific outcome patterns and short-and long-term prognosis of cardiac surgery-asoociated acute kidney injury (AKI) identified by standard criteria and/or urinary kidney biomarkers. METHODS:Patients enrolled (N = 200), originated a German multicenter study (NCT00672334). Standard risk injury, failure, loss, and end-stage renal disease classification (RIFLE) criteria (including serum creatinine and urine output) and urinary kidney biomarker test result (neutrophil gelatinase-associated lipocalin, midkine, interleukin 6, and proteinuria) were used for diagnosis of postoperative AKI. Primary end point was acute renal replacement therapy or in-hospital mortality. Long-term end points among others included 5-year mortality. Patients with single-biomarker-positive subclinical AKI (RIFLE negative) were identified. We controlled for systemic inflammation using C-reactive protein test. RESULTS: Urinary biomarkers (neutrophil gelatinase-associated lipocalin, midkine, and interleukin 6) were identified as independent predictors of the primary end point. Neutrophil gelatinase-associated lipocalin, midkine, or interleukin 6 positivity or de novo/worsening proteinuria identified 21.1%, 16.9%, 30.5%, and 48.0% more cases, respectively, with likely subclinical AKI (biomarker positive/RIFLE negative) additionally to cases with RIFLE positivity alone. Patients with likely subclinical AKI (neutrophil gelatinase-associated lipocalin or interleukin 6 positive) had increased risk of primary end point (adjusted hazard ratio, 7.18; 95% confidence interval, 1.52-33.93 [P = .013] and hazard ratio, 6.27; 95% confidence interval, 1.12-35.21 [P = .037]), respectively. Compared with biomarker-negative/RIFLE-positive patients, neutrophil gelatinase-associated lipocalin positive/RIFLE-positive or midkine-positive/RIFLE-positive patients had increased risk of primary end point (odds ratio, 9.6; 95% confidence interval, 1.4-67.3 [P = .033] and odds ratio, 14.7; 95% confidence interval, 2.0-109.2 [P = .011], respectively). Three percent to 11% of patients appear to be influenced by single-biomarker-positive subclinical AKI. During follow-up, kidney biomarker-defined short-term outcomes appeared to translate into long-term outcomes. CONCLUSIONS: Urinary kidney biomarkers identified RIFLE-negative patients with high-risk subclinical AKI as well as a higher risk subgroup of patients among RIFLE-AKI-positive patients. These findings support the concept that urinary biomarkers define subclinical AKI and higher risk subpopulations with worse long-term prognosis among standard patients with AKI.
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