Novel Plasma Biomarker-Based Model for Predicting Acute Kidney Injury After Cardiac Surgery: A Case Control Study
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Jianghua Chen | Hong Jiang | Hai-ge Zhao | Cuili Wang | Hongjun Chen | Wen-qing Chen | Lingling Shen | Liang Ma | Q. Su | T. Zhu | Yichi Zhang
[1] S. Ostrowski,et al. Prognostic value of suPAR and hsCRP on acute kidney injury after cardiac surgery , 2021, BMC Nephrology.
[2] B. Feldt-Rasmussen,et al. Elevated suPAR Is an Independent Risk Marker for Incident Kidney Disease in Acute Medical Patients , 2020, Frontiers in Cell and Developmental Biology.
[3] Yi Yang,et al. Preoperative Serum Fibrinogen is Associated With Acute Kidney Injury after Cardiac Valve Replacement Surgery , 2020, Scientific Reports.
[4] A. McMahon,et al. Renoprotective and Immunomodulatory Effects of GDF15 following AKI Invoked by Ischemia-Reperfusion Injury. , 2020, Journal of the American Society of Nephrology : JASN.
[5] Jianghua Chen,et al. Biomarkers of Acute Kidney Injury after Cardiac Surgery : A Narrative , 2019 .
[6] C. Ronco,et al. Current understanding and future directions in the application of TIMP-2 and IGFBP7 in AKI clinical practice , 2019, Clinical chemistry and laboratory medicine.
[7] Dilara Ayyildiz,et al. Introduction to Bioinformatics. , 2019, Methods in molecular biology.
[8] J. Kellum,et al. Kidney-Immune System Crosstalk in AKI. , 2019, Seminars in nephrology.
[9] H. Yi,et al. The Accuracy of Urinary TIMP-2 and IGFBP7 for the Diagnosis of Cardiac Surgery-Associated Acute Kidney Injury: A Systematic Review and Meta-Analysis , 2018, Journal of intensive care medicine.
[10] Jeremiah R. Brown,et al. Preoperative serum ST2 level predicts acute kidney injury after adult cardiac surgery , 2018, The Journal of thoracic and cardiovascular surgery.
[11] Qing-lin Li,et al. AKI in the very elderly patients without preexisting chronic kidney disease: a comparison of 48-hour window and 7-day window for diagnosing AKI using the KDIGO criteria , 2018, Clinical interventions in aging.
[12] L. Forni,et al. Cardiac and Vascular Surgery–Associated Acute Kidney Injury: The 20th International Consensus Conference of the ADQI (Acute Disease Quality Initiative) Group , 2018, Journal of the American Heart Association.
[13] J. Lefrant,et al. Interest of Urinary [TIMP-2] × [IGFBP-7] for Predicting the Occurrence of Acute Kidney Injury After Cardiac Surgery: A Gray Zone Approach , 2017, Anesthesia and analgesia.
[14] P. Heuschmann,et al. TIMP-2*IGFBP7 (Nephrocheck®) Measurements at Intensive Care Unit Admission After Cardiac Surgery are Predictive for Acute Kidney Injury Within 48 Hours , 2017, Kidney and Blood Pressure Research.
[15] M. Scholz,et al. Urine Biomarkers of Tubular Renal Cell Damage for the Prediction of Acute Kidney Injury After Cardiac Surgery-A Pilot Study. , 2017, Journal of cardiothoracic and vascular anesthesia.
[16] Li-feng Huang,et al. Diagnostic value of urinary tissue inhibitor of metalloproteinase-2 and insulin-like growth factor binding protein 7 for acute kidney injury: a meta-analysis , 2017, Critical Care.
[17] A. Hoffmeier,et al. Prevention of cardiac surgery-associated AKI by implementing the KDIGO guidelines in high risk patients identified by biomarkers: the PrevAKI randomized controlled trial , 2017, Intensive Care Medicine.
[18] Astrid E. Berggreen,et al. Preoperative plasma growth-differentiation factor-15 for prediction of acute kidney injury in patients undergoing cardiac surgery , 2016, Critical Care.
[19] G. Ashuntantang,et al. Outcomes of acute kidney injury in children and adults in sub-Saharan Africa: a systematic review. , 2016, The Lancet. Global health.
[20] R. Mehta,et al. Acute Kidney Injury in Western Countries , 2016, Kidney Diseases.
[21] N. Tangri,et al. Urinary, Plasma, and Serum Biomarkers' Utility for Predicting Acute Kidney Injury Associated With Cardiac Surgery in Adults: A Meta-analysis. , 2015, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[22] Yan Wang,et al. Acute kidney injury in China: a cross-sectional survey , 2015, The Lancet.
[23] D. Chae,et al. Effects of acute kidney injury and chronic kidney disease on long-term mortality after coronary artery bypass grafting. , 2015, American heart journal.
[24] O. Moerer,et al. Quantification of urinary TIMP-2 and IGFBP-7: an adequate diagnostic test to predict acute kidney injury after cardiac surgery? , 2015, Critical Care.
[25] J. Kellum,et al. Urinary TIMP-2 and IGFBP7 as Early Biomarkers of Acute Kidney Injury and Renal Recovery following Cardiac Surgery , 2014, PloS one.
[26] K. Famulski,et al. Molecular phenotypes of acute kidney injury in kidney transplants. , 2012, Journal of the American Society of Nephrology : JASN.
[27] A. Garg,et al. Postoperative biomarkers predict acute kidney injury and poor outcomes after adult cardiac surgery. , 2011, Journal of the American Society of Nephrology : JASN.
[28] S. Body,et al. Plasma Neutrophil Gelatinase-Associated Lipocalin and Acute Postoperative Kidney Injury in Adult Cardiac Surgical Patients , 2010, Anesthesia and analgesia.
[29] Steve Horvath,et al. WGCNA: an R package for weighted correlation network analysis , 2008, BMC Bioinformatics.
[30] A. Garg,et al. The prognostic importance of a small acute decrement in kidney function in hospitalized patients: a systematic review and meta-analysis. , 2007, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[31] John T Granton,et al. Derivation and validation of a simplified predictive index for renal replacement therapy after cardiac surgery. , 2007, JAMA.
[32] Sean M. O'Brien,et al. Bedside Tool for Predicting the Risk of Postoperative Dialysis in Patients Undergoing Cardiac Surgery , 2006, Circulation.
[33] S. Arrigain,et al. A clinical score to predict acute renal failure after cardiac surgery. , 2004, Journal of the American Society of Nephrology : JASN.
[34] L. Bachmann,et al. Minimal changes of serum creatinine predict prognosis in patients after cardiothoracic surgery: a prospective cohort study. , 2004, Journal of the American Society of Nephrology : JASN.