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Early postoperative change in serum creatinine predicts acute kidney injury after cardiothoracic surgery: a retrospective cohort study

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Abstract

Background

Acute kidney injury (AKI) is one of the most severe complications after cardiothoracic surgery (CTS). However, diagnosis of AKI by elevation of serum creatinine (SCr) misses a critical time period for prevention and treatment of AKI. We have observed that patients who develop AKI show a smaller SCr decrease after CTS than those without AKI. Hence, we hypothesized that the magnitude of the SCr change (ΔSCr) measured early after CTS can predict subsequent AKI.

Methods

We conducted a retrospective analysis from January 2014 to December 2016 to examine the association of ΔSCr with AKI. ΔSCr was calculated as follows: (early postoperative SCr on intensive care unit [ICU] admission) − (preoperative SCr). Established risk factors and demographics were included in the multivariate-adjusted logistic regression model. AKI was defined by SCr criteria of the Kidney Disease: Improving Global Outcomes group.

Results

Among 252 patients who underwent CTS, 69 developed AKI. The median ΔSCr was − 0.14 mg/dL (range − 0.96–0.45). Patients were divided into three groups based on ΔSCr: Group 1, ≤ − 0.2 mg/dL (n = 84); Group 2, > − 0.2 to < − 0.1 mg/dL (n = 76); and Group 3, ≥ − 0.1 mg/dL (n = 92). In the multivariate analysis, Group 3 had a significantly higher incidence of AKI than Group 1 (odds ratio, 7.34; 95% confidence interval 2.55–23.3). ΔSCr was an independent risk factor for AKI (odds ratio for every 0.1-mg/dL increase in ΔSCr, 1.55; 95% confidence interval 1.23–1.97).

Conclusions

A minor change in the SCr level early after CTS can predict subsequent AKI just after ICU admission.

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References

  1. O’Neal JB, Shaw AD, Billings. FT 4th. Acute kidney injury following cardiac surgery: current understanding and future directions. Crit Care. 2016;20:187.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Thiele RH, Isbell JM, Rosner MH. AKI associated with cardiac surgery. Clin J Am Soc Nephrol. 2015;10:500–14.

    Article  PubMed  Google Scholar 

  3. Kumar AB, Suneja M. Cardiopulmonary Bypass—associated acute kidney injury. Anesthesiology. 2011;114:964–70.

    Article  PubMed  Google Scholar 

  4. Tang IY, Murray PT. Prevention of perioperative acute renal failure: what works? Best Pract Res Clin Anaesthesiol. 2004;18:91–111.

    Article  PubMed  CAS  Google Scholar 

  5. Borthwick E, Ferguson A. Perioperative acute kidney injury: risk factors, recognition, management, and outcomes. BMJ. 2010;341:c3365.

    Article  PubMed  Google Scholar 

  6. Kidney Disease Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. Kidney Int Suppl. 2012;2:1–138.

    Article  Google Scholar 

  7. Cerda J. Oliguria: an earlier and accurate biomarker of acute kidney injury? Kidney Int. 2011;80:699–701.

    Article  PubMed  CAS  Google Scholar 

  8. Swaminathan M, Phillips-Bute BG, Conlon PJ, Smith PK, Newman MF, Stafford-Smith M. The association of lowest hematocrit during cardiopulmonary bypass with acute renal injury after coronary artery bypass surgery. Ann Thorac Surg. 2003;76:784–91.

    Article  PubMed  Google Scholar 

  9. Pickering JW, Endre ZH. Back-calculating baseline creatinine with MDRD misclassifies acute kidney injury in the intensive care unit. Clin J Am Soc Nephrol. 2010;5:1165–73.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  10. Matsuo S, Imai E, Horio M, Yasuda Y, Tomita K, Nitta K, et al. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009;53:982–92.

    Article  PubMed  CAS  Google Scholar 

  11. Kristovic D, Horvatic I, Husedzinovic I, Sutlic Z, Rudez I, Baric D, et al. Cardiac surgery-associated acute kidney injury: risk factors analysis and comparison of prediction models. Interact Cardiovasc Thorac Surg. 2015;21:366–73.

    Article  PubMed  Google Scholar 

  12. Ng RR, Chew ST, Liu W, Shen L, Ti LK. Identification of modifiable risk factors for acute kidney injury after coronary artery bypass graft surgery in an Asian population. J Thorac Cardiovasc Surg. 2014;147:1356–61.

    Article  PubMed  Google Scholar 

  13. Yacoub R, Patel N, Lohr JW, Rajagopalan S, Nader N, Arora P. Acute kidney injury and death associated with renin angiotensin system blockade in cardiothoracic surgery: A meta-analysis of observational studies. Am J Kidney Dis. 2013;62:1077–86.

    Article  PubMed  Google Scholar 

  14. Kumar AB, Suneja M, Bayman EO, Weide GD, Tarasi M. Association between postoperative acute kidney injury and duration of cardiopulmonary bypass: a meta-analysis. J Cardiothorac Vasc Anesth. 2012;26:64–9.

    Article  PubMed  Google Scholar 

  15. Moons KG, Harrell FE, Steyerberg EW. Should scoring rules be based on odds ratios or regression coefficients? J Clin Epidemiol. 2002:55;1054–5.

    Article  PubMed  Google Scholar 

  16. Parzen M, Lipsitz SR. A global goodness-of-fit statistic for Cox regression models. Biometrics. 1999:55;580–4.

    Article  PubMed  CAS  Google Scholar 

  17. Thomas ME, Blaine C, Dawnay A, Devonald MA, Ftouh S, Laing C, et al. The definition of acute kidney injury and its use in practice. Kidney Int. 2015;87:62–73.

    Article  PubMed  Google Scholar 

  18. Mellas J. The description of a method for accurately estimating creatinine clearance in acute kidney injury. Math Biosci. 2016;275:107–14.

    Article  PubMed  CAS  Google Scholar 

  19. Singri N, Ahya SN, Levin ML. Acute renal failure. JAMA. 2003;289:747–51.

    Article  PubMed  Google Scholar 

  20. Lassnigg A, Donner E, Grubhofer G, Presterl E, Druml W, Hiesmayr M. Lack of renoprotective effects of dopamine and furosemide during cardiac surgery. J Am Soc Nephrol. 2000;11:97–104.

    PubMed  CAS  Google Scholar 

  21. Mehta RL, Pascual MT, Soroko S, Chertow GM. Diuretics, mortality, and nonrecovery of renal function in acute renal failure. JAMA. 2002;288:2547–53.

    Article  PubMed  CAS  Google Scholar 

  22. Prowle JR, Liu YL, Licari E, Bagshaw SM, Egi M, Haase M, et al. Oliguria as predictive biomarker of acute kidney injury in critically ill patients. Crit Care. 2011;15:R172.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Macedo E, Malhotra R, Bouchard J, Wynn SK, Mehta RL. Oliguria is an early predictor of higher mortality in critically ill patients. Kidney Int. 2011;80:760–7.

    Article  PubMed  CAS  Google Scholar 

  24. Chertow GM, Levy EM, Hammermeister KE, Grover F, Daley J. Independent association between acute renal failure and mortality following cardiac surgery. Am J Med. 1998;104:343–8.

    Article  PubMed  CAS  Google Scholar 

  25. Levy EM, Viscoli CM, Horwitz RI. The effect of acute renal failure on mortality. A cohort analysis. JAMA. 1996;275:1489–94.

    Article  PubMed  CAS  Google Scholar 

  26. Lassnigg A, Schmidlin D, Mouhieddine M, Bachmann LM, Druml W, Bauer P, et al. Minimal changes of serum creatinine predict prognosis in patients after cardiothoracic surgery: a prospective cohort study. J Am Soc Nephrol. 2004;15:1597–605.

    Article  PubMed  CAS  Google Scholar 

  27. Chertow GM, Burdick E, Honour M, Bonventre JV, Bates DW. Acute kidney injury, mortality, length of stay, and costs in hospitalized patients. J Am Soc Nephrol. 2005;16:3365–70.

    Article  PubMed  Google Scholar 

  28. Peduzzi P, Concato J, Feinstein AR, Holford TR. Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. J Clin Epidemiol. 1995;48:1503–10.

    Article  PubMed  CAS  Google Scholar 

  29. Lagny MG, Jouret F, Koch JN, Blaffart F, Donneau AF, Albert A, et al. Incidence and outcomes of acute kidney injury after cardiac surgery using either criteria of the RIFLE classification. BMC Nephrol. 2015;16:76.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We thank Angela Morben, DVM, ELS, from Edanz Group (http://www.edanzediting.com/ac), for editing a draft of this manuscript. We also thank all of the medical staff members of the Department of Cardiothoracic and Vascular Surgery for their contributions to the database.

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Correspondence to Toshiaki Nakano.

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Conflict of interest

All the authors have declared no competing interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee at which the studies were conducted (local ethics committee of Matsuyama Red Cross Hospital (No. 582); (UMIN clinical trial registry No. UMIN000025889)) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

This study waived the requirement for written informed consent due to the retrospective nature of this study. Rather, the research content has been included on the web page of our hospital (http://www.matsuyama.jrc.or.jp/rinsyo-kenkyu/).

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Oka, H., Yamada, S., Kamimura, T. et al. Early postoperative change in serum creatinine predicts acute kidney injury after cardiothoracic surgery: a retrospective cohort study. Clin Exp Nephrol 23, 325–334 (2019). https://doi.org/10.1007/s10157-018-1638-3

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  • DOI: https://doi.org/10.1007/s10157-018-1638-3

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