Have a personal or library account? Click to login
Predictors and Consequences of Subclinical Renal Impairment in Patients with Vascular Disease Cover

Predictors and Consequences of Subclinical Renal Impairment in Patients with Vascular Disease

Open Access
|Dec 2024

References

  1. Kleyman TR. Renal physiology: an evolving field. Am J Physiol Renal Physiol. 2007;293(1):F1. doi: 10.1152/ajprenal.00189.2007
  2. GBD Chronic Kidney Disease Collaboration. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2020;395(10225):709–733. doi: 10.1016/S0140-6736(20)30045-3
  3. Ogedegbe HO. Renal function tests: a clinical laboratory perspective. Laboratory Medicine. 2007;38(5):295–304. doi: 10.1309/RWG5DY7RG1CYBUR7
  4. Gowda S, Desai PB, Kulkarni SS, Hull VV, Math AA, Vernekar SN. Markers of renal function tests. N Am J Med Sci. 2010;2(4):170–173.
  5. Stevens LA, Coresh J, Greene T, Levey AS. Assessing kidney function--measured and estimated glomerular filtration rate. N Engl J Med. 2006;354(23):2473–2483. doi: 10.1056/NEJMra054415
  6. Mouton R, Holder K. Laboratory tests of renal function. Anaesthesia & Intensive Care Medicine. 2006;7(7):240–243. doi: 10.1053/j.mpaic.2006.04.003
  7. Rule AD, Larson TS, Bergstralh EJ, Slezak JM, Jacobsen SJ, Cosio FG. Using serum creatinine to estimate glomerular filtration rate: accuracy in good health and in chronic kidney disease. Ann Intern Med. 2004;141(12):929–937. doi: 10.7326/0003-4819-141-12-200412210-00009
  8. Rigalleau V, Lasseur C, Perlemoine C, et al. Estimation of glomerular filtration rate in diabetic subjects: Cockcroft formula or modification of Diet in Renal Disease study equation? Diabetes Care. 2005;28(4):838–843. doi: 10.2337/diacare.28.4.838
  9. Hošková L, Franekova J, Málek I, et al. Comparison of Cystatin C and NGAL in Early Diagnosis of Acute Kidney Injury After Heart Transplantation. Ann Transplant. 2016;21:329–245. doi: 10.12659/aot.896700
  10. Himmelfarb J, Sayegh MH. Chronic kidney disease, dialysis, and transplantation. 3rd ed. Philadelphia: Saunders, 2010.
  11. Delinière A, Baranchuk A, Giai J, et al. Prediction of ventricular arrhythmias in patients with a spontaneous Brugada type 1 pattern: the key is in the electrocardiogram. Europace. 2019;21(9):1400–1409. doi: 10.1093/europace/euz156
  12. Scridon A, Șerban RC. Laboratory monitoring – a turning point in the use of new oral anticoagulants. Ther Drug Monit. 2016;38(1):12–21. doi: 10.1097/FTD.0000000000000247
  13. Shacham Y, Leshem-Rubinow E, Steinvil A, et al. Renal impairment according to acute kidney injury network criteria among ST elevation myocardial infarction patients undergoing primary percutaneous intervention: a retrospective observational study. Clin Res Cardiol. 2014;103(7):525–532. doi: 10.1007/s00392-014-0680-8
  14. Endre ZH, Walker RJ. Biomarkers of cardiovascular risk in chronic kidney disease. In Biomarkers of Kidney Disease. 2nd ed. Cambridge, MA: Academic Press, 2017.
  15. Liu Z, Shang A, Chen Z, Yin L, Qi H. Neutrophil gelatinase-associated lipocalin as an early predictor of contrast-induced nephropathy following endovascular therapy for arteriosclerosis obliterans. Medicine (Baltimore). 2020;99(37):e21386. doi: 10.1097/MD.0000000000021386
  16. Șerban RC, Șuș I, Lakatos EK, et al. Chronic kidney disease predicts atrial fibrillation in patients with ST-segment elevation myocardial infarction treated by primary percutaneous coronary intervention. Acta Cardiol. 2019;74(6):472–479. doi: 10.1080/00015385.2018.1521558
  17. Laterza OF, Price CP, Scott MG. Cystatin C: an improved estimator of glomerular filtration rate? Clin Chem. 2002;48(5):699–707.
  18. Singer E, Markó L, Paragas N, et al. Neutrophil gelatinase-associated lipocalin: pathophysiology and clinical applications. Acta Physiol (Oxf). 2013;207(4):663–672. doi: 10.1111/apha.12054
  19. Haase M, Bellomo R, Devarajan P, Schlattmann P, Haase-Fielitz A; NGAL Meta-analysis Investigator Group. Accuracy of neutrophil gelatinase-associated lipocalin (NGAL) in diagnosis and prognosis in acute kidney injury: a systematic review and meta-analysis. Am J Kidney Dis. 2009;54(6):1012–1024. doi: 10.1053/j.ajkd.2009.07.020
  20. Lupu L, Abukatash H, Banai A, et al. Relation of Baseline Neutrophil Gelatinase-Associated Lipocalin (NGAL) Levels and Contrast-Induced Nephropathy following Percutaneous Coronary Intervention among Chronic Kidney Disease Patients. J Clin Med. 2021;10(22):5403. doi: 10.3390/jcm10225403
  21. Murray PT, Mehta RL, Shaw A, et al; ADQI 10 workgroup. Potential use of biomarkers in acute kidney injury: report and summary of recommendations from the 10th Acute Dialysis Quality Initiative consensus conference. Kidney Int. 2014;85(3):513–521. doi: 10.1038/ki.2013.374
  22. Orlando R, Mussap M, Plebani M, et al. Diagnostic value of plasma cystatin C as a glomerular filtration marker in decompensated liver cirrhosis. Clin Chem. 2002;48(6 Pt 1):850–858.
  23. Odden MC, Tager IB, Gansevoort RT, et al. Age and cystatin C in healthy adults: a collaborative study. Nephrol Dial Transplant. 2010;25(2):463–469. doi: 10.1093/ndt/gfp474
  24. Yndestad A, Landrø L, Ueland T, et al. Increased systemic and myocardial expression of neutrophil gelatinase-associated lipocalin in clinical and experimental heart failure. Eur Heart J. 2009;30(10):1229–1236. doi:10.1093/eurheartj/ehp088
  25. Choudhury D, Ahmed Z. Drug-associated renal dysfunction and injury. Nat Clin Pract Nephrol. 2006;2(2):80–91. doi: 10.1038/ncpneph0076
  26. Srivastava A, Kaze AD, McMullan CJ, Isakova T, Waikar SS. Uric Acid and the Risks of Kidney Failure and Death in Individuals With CKD. Am J Kidney Dis. 2018;71(3):362–370. doi: 10.1053/j.ajkd.2017.08.017
  27. Kurts C. A crystal-clear mechanism of chronic kidney disease. Kidney Int. 2013;84(5):859–861. doi: 10.1038/ki.2013.251
  28. Corry DB, Eslami P, Yamamoto K, Nyby MD, Makino H, Tuck ML. Uric acid stimulates vascular smooth muscle cell proliferation and oxidative stress via the vascular renin-angiotensin system. J Hypertens. 2008;26(2):269–275. doi: 10.1097/HJH.0b013e3282f240bf
  29. Muntner P, Vupputuri S, Coresh J, Uribarri J, Fox CS. Metabolic abnormalities are present in adults with elevated serum cystatin C. Kidney Int. 2009;76(1):81–88. doi: 10.1038/ki.2009.76
  30. Eriksson P, Deguchi H, Samnegård A, et al. Human evidence that the cystatin C gene is implicated in focal progression of coronary artery disease. Arterioscler Thromb Vasc Biol. 2004;24(3):551–557. doi: 10.1161/01.ATV.0000117180.57731.36
  31. Gai Z, Wang T, Visentin M, Kullak-Ublick GA, Fu X, Wang Z. Lipid Accumulation and Chronic Kidney Disease. Nutrients. 2019;11(4):722. doi: 10.3390/nu11040722
  32. Hounkpatin HO, Fraser SDS, Glidewell L, Blakeman T, Lewington A, Roderick PJ. Predicting Risk of Recurrent Acute Kidney Injury: A Systematic Review. Nephron. 2019;142(2):83–90. doi: 10.1159/000497385
DOI: https://doi.org/10.2478/jce-2024-0016 | Journal eISSN: 2457-5518 | Journal ISSN: 2457-550X
Language: English
Page range: 133 - 141
Submitted on: Aug 5, 2024
Accepted on: Aug 20, 2024
Published on: Dec 26, 2024
Published by: Asociatia Transilvana de Terapie Transvasculara si Transplant KARDIOMED
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Cristina Somkereki, Tunde Renata Nicoară, Mădălina Oprica, Liliana Demian, Alina Scridon, published by Asociatia Transilvana de Terapie Transvasculara si Transplant KARDIOMED
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.