Normalized lactate load is associated with development of acute kidney injury in patients who underwent cardiopulmonary bypass surgery

PLoS ONE

Volumn 10, Issue 3, 2015, Pages

  Zhang, Zhongheng ^a   Ni, Hongying ^a  

^a Department of Critical Care Medicine Jinhua Municipal Central Hospital Jinhua Hospital of Zhejiang University ^*  (China)

Author keywords

[No Author keywords available]

Indexed keywords

CREATININE; LACTIC ACID;

ACUTE KIDNEY FAILURE; ADULT; AGE; ARTICLE; CARDIOPULMONARY BYPASS; COHORT ANALYSIS; CONTROLLED STUDY; CREATININE BLOOD LEVEL; DISEASE ASSOCIATION; FEMALE; FLUID BALANCE; HUMAN; INTENSIVE CARE UNIT; LACTATE BLOOD LEVEL; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; OBSERVATIONAL STUDY; POSTOPERATIVE COMPLICATION; PROSPECTIVE STUDY; SEX DIFFERENCE; STATISTICAL MODEL; TEACHING HOSPITAL; TERTIARY CARE CENTER; UNIVARIATE ANALYSIS; ACUTE KIDNEY INJURY; ADVERSE EFFECTS; CASE CONTROL STUDY; HEART SURGERY; KIDNEY FUNCTION TEST; METABOLISM; MIDDLE AGED; POSTOPERATIVE COMPLICATIONS; PROCEDURES;

ACUTE KIDNEY INJURY; CARDIAC SURGICAL PROCEDURES; CARDIOPULMONARY BYPASS; CASE-CONTROL STUDIES; FEMALE; HUMANS; KIDNEY FUNCTION TESTS; LACTIC ACID; LOGISTIC MODELS; MALE; MIDDLE AGED; POSTOPERATIVE COMPLICATIONS; PROSPECTIVE STUDIES;

EID: 84926671978     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0120466     Document Type: Article

References (41)

1. Mao H, Katz N, Ariyanon W, Blanca-Martos L, Adybelli Z, et al. (2013) Cardiac Surgery-Associated Acute Kidney Injury. Cardiorenal Med 3: 178-199. doi: 10.1159/000353134 PMID: 24454314
2. Uchino S, Kellum JA, Bellomo R, Doig GS, Morimatsu H, et al. (2005) Acute renal failure in critically ill patients: a multinational, multicenter study. JAMA 294: 813-818. PMID: 16106006
3. Englberger L, Suri RM, Connolly HM, Li Z, Abel MD, et al. (2013) Increased risk of acute kidney injury in patients undergoing tricuspid valve surgery. Eur J Cardiothorac Surg 43: 993-999. doi: 10.1093/ejcts/ezs515 PMID: 23002188
4. Englberger L, Suri RM, Li Z, Casey ET, Daly RC, et al. (2011) Clinical accuracy of RIFLE and Acute Kidney Injury Network (AKIN) criteria for acute kidney injury in patients undergoing cardiac surgery. Crit Care 15: R16. doi: 10.1186/cc9960 PMID: 21232094
5. Parolari A, Pesce LL, Pacini D, Mazzanti V, Salis S, et al. (2012) Risk factors for perioperative acute kidney injury after adult cardiac surgery: role of perioperative management. Ann Thorac Surg 93: 584-591. doi: 10.1016/j.athoracsur.2011.09.073 PMID: 22269725
6. Parikh CR, Mishra J, Thiessen-Philbrook H, Dursun B, Ma Q, et al. (2006) Urinary IL-18 is an early predictive biomarker of acute kidney injury after cardiac surgery. Kidney Int 70: 199-203. PMID: 16710348
7. Zhang Z, Lu B, Sheng X, Jin N (2011) Cystatin C in prediction of acute kidney injury: a systemic review and meta-analysis. Am J Kidney Dis 58: 356-365. doi: 10.1053/j.ajkd.2011.02.389 PMID: 21601330
8. Patel UD, Garg AX, Krumholz HM, Shlipak MG, Coca SG, et al. (2012) Preoperative serum brain natriuretic peptide and risk of acute kidney injury after cardiac surgery. Circulation 125: 1347-1355. doi: 10.1161/CIRCULATIONAHA.111.029686 PMID: 22322531
9. Vanmassenhove J, Vanholder R, Nagler E, Van Biesen W (2013) Urinary and serum biomarkers for the diagnosis of acute kidney injury: an in-depth review of the literature. Nephrol Dial Transplant 28: 254-273. doi: 10.1093/ndt/gfs380 PMID: 23115326
10. Kulier A, Levin J, Moser R, Rumpold-Seitlinger G, Tudor IC, et al. (2007) Impact of preoperative anemia on outcome in patients undergoing coronary artery bypass graft surgery. Circulation 116: 471-479. PMID: 17620512
11. Shaw A (2011) Models of preventable disease: contrast-induced nephropathy and cardiac surgery-associated acute kidney injury. Contrib Nephrol 174: 156-162. doi: 10.1159/000329387 PMID: 21921620
12. Bakker J (1999) Blood lactate levels. Current Opinion in Critical Care 5: 234-239.
13. Rizza RA, Cryer PE, Haymond MW, Gerich JE (1980) Adrenergic mechanisms for the effects of epinephrine on glucose production and clearance in man. J Clin Invest 65: 682-689. PMID: 6243675
14. Cohen RD, Woods HF (1983) Lactic acidosis revisited. Diabetes 32: 181-191. PMID: 6337898
15. O'Connor E, Fraser JF (2012) The interpretation of perioperative lactate abnormalities in patients undergoing cardiac surgery. Anaesth Intensive Care 40: 598-603. PMID: 22813486
16. Raper RF, Cameron G, Walker D, Bowey CJ (1997) Type B lactic acidosis following cardiopulmonary bypass. Crit Care Med 25: 46-51. PMID: 8989175
17. Kellum JA (1999) Acid-base physiology in the post-Copernican era. Current Opinion in Critical Care 5: 429-435.
18. de Vries HM, Dekker SE, Boer C (2014) Lactate clearance as a predictor of mortality. J Trauma Acute Care Surg 77: 183. doi: 10.1097/TA.0000000000000285 PMID: 24977780
19. Zhang Z, Xu X (2014) Lactate clearance is a useful biomarker for the prediction of all-cause mortality in critically ill patients: a systematic review and meta-analysis∗. Crit Care Med 42: 2118-2125. doi: 10.1097/CCM.0000000000000405 PMID: 24797375
20. Zhang Z, Xu X, Chen K (2014) Lactate clearance as a useful biomarker for the prediction of all-cause mortality in critically ill patients: a systematic review study protocol. BMJ Open 4: e004752. doi: 10.1136/bmjopen-2013-004752 PMID: 24860001
21. Jones AE, Puskarich MA (2009) Sepsis-induced tissue hypoperfusion. Crit Care Clin 25: 769-779, ix. doi: 10.1016/j.ccc.2009.06.003 PMID: 19892252
22. Bellomo R, Ronco C, Kellum JA, Mehta RL, Palevsky P, et al. (2004) Acute renal failure - definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group. Crit Care 8: R204-212. PMID: 15312219
23. Zhang Z, Chen K, Ni H, Fan H (2014) Predictive value of lactate in unselected critically ill patients: an analysis using fractional polynomials. J Thorac Dis 6: 995-1003. doi: 10.3978/j.issn.2072-1439.2014.07.01 PMID: 25093098
24. Bakker J, Gris P, Coffernils M, Kahn RJ, Vincent JL (1996) Serial blood lactate levels can predict the development of multiple organ failure following septic shock. Am J Surg 171: 221-226. PMID: 8619454
25. Kalyanaraman M, DeCampli WM, Campbell AI, Bhalala U, Harmon TG, et al. (2008) Serial blood lactate levels as a predictor of mortality in children after cardiopulmonary bypass surgery. Pediatr Crit Care Med 9: 285-288. doi: 10.1097/PCC.0b013e31816c6f31 PMID: 18446112
26. Long J, Ryoo J (2010) Using fractional polynomials to model non-linear trends in longitudinal data. Br J Math Stat Psychol 63: 177-203. doi: 10.1348/000711009X431509 PMID: 19486548
27. Royston P, Sauerbrei W (2005) Building multivariable regression models with continuous covariates in clinical epidemiology - with an emphasis on fractional polynomials. Methods Inf Med 44: 561-571. PMID: 16342923
28. Schmidt CO, Ittermann T, Schulz A, Grabe HJ, Baumeister SE (2013) Linear, nonlinear or categorical: how to treat complex associations in regression analyses? Polynomial transformations and fractional polynomials. Int J Public Health 58: 157-160. doi: 10.1007/s00038-012-0362-0 PMID: 22569914
29. Nick TG, Campbell KM (2007) Logistic regression. Methods Mol Biol 404: 273-301. doi: 10.1007/978-1-59745-530-5-14 PMID: 18450055
30. Royston P, Altman DG (2010) Visualizing and assessing discrimination in the logistic regression model. Stat Med 29: 2508-2520. doi: 10.1002/sim.3994 PMID: 20641144
31. Lopez-Delgado JC, Esteve F, Torrado H, Rodriguez-Castro D, Carrio ML, et al. (2013) Influence of acute kidney injury on short- and long-term outcomes in patients undergoing cardiac surgery: risk factors and prognostic value of a modified RIFLE classification. Crit Care 17: R293. doi: 10.1186/cc13159 PMID: 24330769
32. Hajjar LA, Almeida JP, Fukushima JT, Rhodes A, Vincent JL, et al. (2013) High lactate levels are predictors of major complications after cardiac surgery. J Thorac Cardiovasc Surg 146: 455-460. doi: 10.1016/j.jtcvs.2013.02.003 PMID: 23507124
33. Maarslet L, Moller MB, Dall R, Hjortholm K, Ravn H (2012) Lactate levels predict mortality and need for peritoneal dialysis in children undergoing congenital heart surgery. Acta Anaesthesiol Scand 56: 459-464. doi: 10.1111/j.1399-6576.2011.02588.x PMID: 22150620
34. Kumar AB, Suneja M, Bayman EO, Weide GD, Tarasi M (2012) Association between postoperative acute kidney injury and duration of cardiopulmonary bypass: a meta-analysis. J Cardiothorac Vasc Anesth 26: 64-69. doi: 10.1053/j.jvca.2011.07.007 PMID: 21924633
35. Jabbari A, Banihashem N, Alijanpour E, Vafaey HR, Alereza H, et al. (2013) Serum lactate as a prognostic factor in coronary artery bypass graft operation by on pump method. Caspian J Intern Med 4: 662-666. PMID: 24009956
36. Prowle JR, Kirwan CJ, Bellomo R (2014) Fluid management for the prevention and attenuation of acute kidney injury. Nat Rev Nephrol 10: 37-47. doi: 10.1038/nrneph.2013.232 PMID: 24217464
37. Payen D, de Pont AC, Sakr Y, Spies C, Reinhart K, et al. (2008) A positive fluid balance is associated with a worse outcome in patients with acute renal failure. Crit Care 12: R74. doi: 10.1186/cc6916 PMID: 18533029
38. Grams ME, Estrella MM, Coresh J, Brower RG, Liu KD, et al. (2011) Fluid balance, diuretic use, and mortality in acute kidney injury. Clin J Am Soc Nephrol 6: 966-973. doi: 10.2215/CJN.08781010 PMID: 21393482
39. Prowle JR, Chua HR, Bagshaw SM, Bellomo R (2012) Clinical review: Volume of fluid resuscitation and the incidence of acute kidney injury - a systematic review. Crit Care 16: 230. doi: 10.1186/cc11345 PMID: 22866958
40. Kambhampati G, Ejaz NI, Asmar A, Aiyer R, Arif AA, et al. (2013) Fluid balance and conventional and novel biomarkers of acute kidney injury in cardiovascular surgery. J Cardiovasc Surg (Torino) 54: 639-646. PMID: 24002394
41. Hassinger AB, Wald EL, Goodman DM (2014) Early postoperative fluid overload precedes acute kidney injury and is associated with higher morbidity in pediatric cardiac surgery patients. Pediatr Crit Care Med 15: 131-138. doi: 10.1097/PCC.0000000000000043 PMID: 24366508