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VOLUME 25 , ISSUE 7 ( July, 2021 ) > List of Articles

EDITORIAL

Acute Kidney Injury in the Intensive Care Unit: The Most Reliable Way to Predict the Future is to Create It

Swagata Tripathy

Keywords : Acute kidney injury, Intensive care unit, Risk prediction

Citation Information : Tripathy S. Acute Kidney Injury in the Intensive Care Unit: The Most Reliable Way to Predict the Future is to Create It. Indian J Crit Care Med 2021; 25 (7):747-749.

DOI: 10.5005/jp-journals-10071-23911

License: CC BY-NC 4.0

Published Online: 07-07-2021

Copyright Statement:  Copyright © 2021; Jaypee Brothers Medical Publishers (P) Ltd.


Abstract


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  1. Argyropoulos A, Townley S, Upton PM, Dickinson S, Pollard AS. Identifying on admission patients likely to develop acute kidney injury in hospital. BMC Nephrol 2019;20(1). DOI: 10.1186/s12882-019-1237-x.
  2. Shawwa KKK. Prevention and management of the critically injured kidney. Int Anesth Clin 2019;57(2):48–60. DOI: 10.1097/AIA.0000000000000224.
  3. Mehta RL, Cerda J, Burdmann EA, Tonelli M, García-García G, Jha V, et al. International Society of Nephrology's 0by25 initiative for acute kidney injury (zero preventable deaths by 2025): a human rights case for nephrology. Lancet 2015;385(9987):2616–2643. DOI: 10.1016/S0140-6736(15)60126-X.
  4. Coritsidis GN, Guru K, Ward L, Bashir R, Feinfeld DA, Carvounis CP. Prediction of acute renal failure by “bedside formula” in medical and surgical intensive care patients. Ren Fail 2000;22(2):235–244. DOI: 10.1081/JDI-100100868.
  5. KDIGO guidelines. Section 2: AKI definition. Kidney Int Suppl 2011;2(1):19–36. DOI: 10.1038/kisup.2011.32.
  6. Kellum JA, Lameire N, Aspelin P, Barsoum RS, Burdmann EA, Goldstein SL, et al. KDIGO clinical practice guideline for acute kidney injury. Kidney Int Suppl 2012;2(1):1–138. DOI: 10.1038/kisup.2012.1.
  7. Pozzoli S, Simonini M, Manunta P. Predicting acute kidney injury: current status and future challenges. J Nephrol 2018;31(2):209–223. DOI: 10.1007/s40620-017-0416-8.
  8. Joannidis M, Druml W, Forni LG, Groeneveld ABJ, Honore PM, Hoste E, et al. Prevention of acute kidney injury and protection of renal function in the intensive care unit: update 2017: Expert opinion of the Working Group on Prevention, AKI section, European Society of Intensive Care Medicine. Intensive Care Med 2017;43(6):730–749. DOI: 10.1007/s00134-017-4832-y.
  9. Medić B, Rovčanin B, Basta Jovanović G, Radojević-Škodrić S, Prostran M. Kidney injury molecule-1 and cardiovascular diseases: from basic science to clinical practice. Biomed Res Int 2015;2015. DOI: 10.1155/2015/854070.
  10. Delcroix G, Gillain N, Moonen M, Radermacher L, Damas F, Minon JM, et al. NGAL usefulness in the intensive care unit three hours after cardiac surgery. ISRN Nephrol 2013;2013:1–6. DOI: 10.5402/2013/865164.
  11. Vanmassenhove J, Glorieux G, Lameire N, Hoste E, Dhondt A, Vanholder R, et al. Influence of severity of illness on neutrophil gelatinase-associated lipocalin performance as a marker of acute kidney injury a prospective cohort study of patients with sepsis. BMC Nephrol 2015;16(1):1–10. DOI: 10.1186/s12882-015-0003-y.
  12. Koyner JL, Davison DL, Brasha-Mitchell E, Chalikonda DM, Arthur JM, Shaw AD, et al. Furosemide stress test and biomarkers for the prediction of AKI severity. J Am Soc Nephrol 2015;26(8):2023–2031. DOI: 10.1681/ASN.2014060535.
  13. Sharma A, Zaragoza JJ, Villa G, Ribeiro LC, Lu R, Sartori M, et al. Optimizing a kidney stress test to evaluate renal functional reserve. Clin Nephrol 2016;86(1):18–26. DOI: 10.5414/CN108497.
  14. Chawla LS, Davison DL, Brasha-Mitchell E, Koyner JL, Arthur JM, Shaw AD, et al. Development and standardization of a furosemide stress test to predict the severity of acute kidney injury. Crit Care 2013;17(5):1–9. DOI: 10.1186/cc13015.
  15. Pekkafali MZ, Kara K. Doppler ultrasound measurements of renal functional reserve in healthy subjects. Med Ultrason 2015;17(4):464–468. DOI: 10.11152/mu.2013.2066.174.dop.
  16. Predicting acute kidney injury after cardiac surgery: a systematic review – ClinicalKey. Available from: https://www.clinicalkey.com/#!/content/playContent/1-s2.0-S0003497511021552?returnurl=https:%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0003497511021552% 3Fshowall%3Dtrue&referrer= [Accessed June 9, 2021].
  17. Bagshaw SM, Bennett M, Devarajan P, Bellomo R. Urine biochemistry in septic and non-septic acute kidney injury: a prospective observational study. J Crit Care 2013;28(4):371–378. DOI: 10.1016/j.jcrc.2012.10.007.
  18. Maciel AT, Park M, Macedo E. Fração de excreção de potássio na evolução da lesão renal aguda em pacientes graves: um potencial marcador a ser monitorizado? Rev Bras Ter Intensiva 2014;26(2):143–147. DOI: 10.5935/0103-507X.20140021.
  19. Maciel AT, Delphino Salles L, Vitorio D. Simple blood and urinary parameters measured at ICU admission may sign for AKI development in the early postoperative period: a retrospective, exploratory study. Ren Fail 2016;38(10):1607–1615. DOI: 10.3109/0886022X.2016. 1144162.
  20. Smyth A, Dunkler D, Gao P, Teo KK, Yusuf S, O'Donnell MJ, et al. The relationship between estimated sodium and potassium excretion and subsequent renal outcomes. Kidney Int 2014;86(6):1205–1212. DOI: 10.1038/ki.2014.214.
  21. Kumar SN, Kumar GN, Misra KC, Rao M, Chitithoti S, Prakash SY. Association between Urinary Potassium Excretion and Acute Kidney Injury in Critically Ill Patients. Indian J Crit Care Med 2021;25(7):768-772.
  22. Burns AR, Ho KM. Urinary potassium excretion and its association with acute kidney injury in the intensive care unit. J Crit Care 2018;46:58–62. DOI: 10.1016/j.jcrc.2018.04.009.
  23. Sutherland SM, Goldstein SL, Bagshaw SM. Acute kidney injury and big data. Contrib Nephrol 2018;193:55–67. DOI: 10.1159/000484963.
  24. Lu JCT, Coca SG, Patel UD, Cantley L, Parikh CR. Searching for genes that matter in acute kidney injury: a systematic review. Clin J Am Soc Nephrol 2009;4(6):1020–1031. DOI: 10.2215/CJN.05411008.
  25. Gameiro J, Branco T, Lopes JA. Artificial intelligence in acute kidney injury risk prediction. J Clin Med 2020;9(3):678. DOI: 10.3390/jcm9030678.
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