Acute Kidney Injury after Major Abdominal Surgery: A Retrospective Cohort Analysis

Teixeira, Catarina; Rosa, Rosário; Rodrigues, Natacha; Mendes, Inês; Peixoto, Lígia; Dias, Sofia; Melo, Maria João; Pereira, Marta; Bicha Castelo, Henrique; Lopes, José António

doi:https://doi.org/10.1155/2014/132175

Critical Care Research and Practice

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Research Article | Open Access

Volume 2014 | Article ID 132175 | https://doi.org/10.1155/2014/132175

Acute Kidney Injury after Major Abdominal Surgery: A Retrospective Cohort Analysis

Catarina Teixeira,¹Rosário Rosa,²Natacha Rodrigues,¹Inês Mendes,¹Lígia Peixoto,¹Sofia Dias,¹Maria João Melo,¹Marta Pereira,¹Henrique Bicha Castelo,²and José António Lopes¹

Academic Editor: Djillali Annane

Received04 Nov 2013

Revised15 Jan 2014

Accepted18 Jan 2014

Published24 Feb 2014

Abstract

Background. We analyzed the incidence, risk factors, and prognosis of acute kidney injury (AKI) in a cohort of patients undergoing major abdominal surgery. Methods. A total of 450 patients were retrospectively studied. AKI was defined by an increase in serum creatinine (SCr) ≥ 0.3 mg/dl or by an increase in SCr ≥ 50% and/or by a decrease in urine output to 0.5 ml/kg/hour for 6 hours, in the first 48 hours after surgery. Logistic regression method was used to determine predictors of AKI and in-hospital mortality. A two-tailed value <0.05 was considered significant. Results. One hundred one patients (22.4%) had postoperative AKI. Age (adjusted odds ratio (OR) 1.02, 95% confidence interval (CI) 1.01–1.05), nonrenal Revised Cardiac Risk Index score (adjusted OR 1.9, 95% CI 1.3–3.1, ), intraoperative erythrocytes transfusions (adjusted OR 2.2, 95% CI 1.4–3.5, ), and nonrenal Simplified Acute Physiology Score II (adjusted OR 1.03, 95% CI 1.01–1.06, ) were associated with postoperative AKI. AKI was associated with increased in-hospital mortality (20.8% versus 2.3%, ; unadjusted OR 11.2, 95% CI 4.8–26.2, ; adjusted OR 3.7, 95% CI 1.2–11.7, ). Conclusion. AKI was common in patients undergoing major abdominal surgery and was associated with in-hospital mortality.

1. Introduction

Acute kidney injury (AKI) occurs commonly in hospitalized patients and it has a detrimental impact on patient outcome. In fact, AKI is associated with increased costs, length of hospital stay and mortality [1–4].

The clinical characteristics and the impact of AKI in cardiac surgery has been extensively studied [5–9], and most of the published data regarding AKI in noncardiac surgery population are limited to high-risk aortic procedures [10–15]. Only few studies addressed AKI after noncardiac and nonvascular surgery [16–20] which has a distinct pathophysiology from cardiac and vascular surgery. As a result, it is inappropriate to assume that the risk factors for AKI after noncardiac and nonvascular surgery are the same as those after cardiac and vascular surgery. The purpose of this study was therefore to evaluate the incidence, risk factors, and outcome of AKI in the first 48 hours after surgery in a cohort of patients undergoing major nonvascular abdominal surgery.

2. Methods

Patients aged 18 years or more who underwent scheduled or urgent major nonvascular abdominal surgery admitted to the Post-Anesthesia Care Unit (PACU) of the Service of Surgery II of the Centro Hospitalar Lisboa Norte, EPE (Lisbon, Portugal), between January 2010 and February 2011 were eligible for the study. Centro Hospitalar Lisboa Norte, EPE, comprises two tertiary and teaching hospitals (Hospital de Santa Maria and Hospital de Pulido Valente) providing medical assistance to an area with almost 3.000.000 inhabitants. The PACU is an eight bed unit in which surgical patients are admitted and closely monitored in the postoperative period, being managed by a dedicated intensivist.

Major abdominal surgery was considered whenever intraperitoneal approach under general anesthesia was performed and the predictable length of stay for patients in a given diagnosis-related group exceeded two days [21–23]. Exclusion criteria were chronic kidney disease on renal replacement therapy, requirement for renal replacement therapy in the week before surgery, less than 48 hours of hospital stay, and/or less than two determinations of serum creatinine (SCr).

For patients undergoing more than one surgery within the same hospitalization only the first surgery was considered for analysis.

Since this was a retrospective and observational study that did not evaluate a specific therapeutic or prophylactic intervention, study approval was waived by the Ethical Committee of our Hospital according to Institutional guidelines.

2.1. Variables

Manual patient medical charts and electronic hospital database were reviewed by eight investigators (CT, RR, NR, IM, LP, SD, MJM, and MP) to study demographic data (age, gender, and ethnicity), preoperative patient characteristics [scheduled versus urgent surgery, comorbidity, namely, diabetes mellitus, hypertension, ischemic heart disease, congestive heart failure, cerebrovascular disease, chronic obstructive pulmonary disease (COPD), cirrhosis, solid malignancy, hematological malignancy, the American Society of Anesthesiologists (ASA) score, hemoglobin, and SCr], surgical procedure, intraoperative patient characteristics (duration of anesthesia, blood pressure, fluids, and vasoactive drugs), Simplified Acute Physiology Score version II (SAPS II), postoperative complications (hemorrhage, anastomotic leak, surgical site infection, need for mechanical ventilation, and AKI), fluid balance, need for renal replacement therapy, intensive care unit (ICU) admission, and in-hospital mortality.

2.2. Definitions

Acute kidney injury was defined and staged by to the recently proposed Kidney Disease Improving Global Outcomes (KDIGO) classification [24]. Accordingly, AKI was defined by an increase in absolute SCr of at least 0.3 mg/dL or by a percentual increase in SCr equal to or higher than 50% (1.5X baseline value) and/or by a decrease in urine output (UO) (documented oliguria lower than 0.5 mL/kg/hour for more than 6 hours) [24] and staged as follows: stage 1, if there was an increase in absolute SCr of at least 0.3 mg/dL or a percentual increase in SCr 1.5 to 2X baseline value and/or a decrease in UO (documented oliguria lower than 0.5 mL/kg/hour for more than 6 hours); stage 2, if there was a percentual increase in SCr 2 to 3X baseline value and/or a decrease in UO (documented oliguria lower than 0.5 mL/kg/hour for more than 12 hours); and stage 3, if there was a percentual increase in SCr equal to or higher than 3X baseline value and/or a decrease in UO (documented oliguria lower than 0.3 mL/kg/hour for more than 24 hours or anuria for more than 12 hours) or in patients with baseline SCr 4.0 mg/dL if the patient first achieved the Cr based change specified in the definition (either 0.3 mg/dL or an increase of 1.5X baseline value) or if patients required renal replacement therapy independently of the stage (defined by SCr and/or UO) they were in at the moment they initiated renal replacement therapy. In order to relate AKI with surgical procedure itself, thus eliminating the potential influence of other factors arising in the postoperative period, AKI was only considered in the first 48 hours after surgery. Preoperative SCr was considered baseline SCr.

Diabetes mellitus was diagnosed according to the World Health Organization criteria [25] and hypertension was diagnosed based on the seventh report of the Joint National Committee (JNC 7) [26].

Cerebrovascular disease was defined as history of transient ischemic attack or history of cerebrovascular accident and COPD included emphysema and chronic bronchitis.

The ASA score was used to evaluate preoperative patients’ physical status [27].

The Revised Cardiac Risk Index (RCRI) score [22], assigning one point for each of the following risk factors: high-risk surgery, ischemic heart disease, congestive heart failure, cerebrovascular disease, diabetes mellitus requiring insulin therapy, and preoperative SCr higher than 2.0 mg/dL, was calculated to characterize the patients at risk to develop postoperative complications. As intraperitoneal procedure was performed, surgery was considered as high-risk in all cases [22].

Intraoperative systolic and diastolic blood pressure (SBP and DBP, resp.) were recorded every 5 minutes and intraoperative mean arterial pressure (MAP) was calculated as [(2 × DBP) + SBP]/3. When blood pressure was measured both invasively and noninvasively, invasive measurements were used for the current analysis. Intraoperative hypotension (IOH) was defined as intraoperative mean arterial pressure (MAP) <65 mmHg. The number of IOH episodes was registered.

The hemoglobin level justifying erythrocytes transfusion was variable and at physician discretion in patients with active hemorrhage and/or in hemodynamically unstable patients. Conversely, erythrocytes transfusion was performed if hemoglobin level was 7-8 g/dL (alternatively 9-10 g/dL in aged patients and/or in patients with acute coronary syndrome) in hemodynamically stable euvolemic patients [28, 29].

The SAPS II was used to evaluate illness severity and was calculated based on the worst variables recorded during the first 24 hours of PACU admission [30].

2.3. Statistical Analysis

Continuous variables are expressed as mean (standard deviation) and categorical variables as percentage of number of cases. Comparisons between patients with and without AKI were performed using the Student’s -test and the -test, respectively, for continuous and categorical variables. Logistic regression method was used to determine independent predictors of AKI and in-hospital mortality. Risk factors for AKI (age, gender, race, malignancy, ASA, nonrenal RCRI, preoperative hemoglobin, preoperative SCr, type of surgery, duration of surgery, IOH episodes, intraoperative fluids, intraoperative vasoactive drugs, and nonrenal SAPS II) and risk factors of in-hospital mortality (age, gender, race, malignancy, ASA, nonrenal RCRI, preoperative hemoglobin, preoperative SCr, type of surgery, nonrenal SAPS II, and fluid balance) were initially assessed with univariate analysis, and variables that were statistically significant () in the univariate analysis were then included in the multivariate analysis with forward conditional elimination of data. Continuous variables were entered in the model as continuous variables and categorical variables as categorical ones. As RCRI includes one point to SCr and as SAPS II includes points for kidney insufficiency, the nonrenal RCRI and the nonrenal SAPS II were chosen as covariates to control for multicollinearity with SCr and AKI, respectively. Data are presented as odds ratios (ORs) with 95% confidence intervals (CIs). A two-tailed value <0.05 was considered significant. Analysis was performed with the statistical software package SPSS 21.0 for Windows (Produtos e Serviços de Estatísticas, Lisboa, Portugal).

3. Results

During the study period, 492 patients underwent nonvascular major abdominal surgery in the Service of Surgery II of our Hospital; 10 of them were chronic kidney disease patients on dialysis and were not included. None of the patients had received a renal transplant or required renal replacement therapy in the week before surgery. From the 482 remaining patients, 32 patients were hospitalized less than 48 hours and/or had less than two SCr determinations within the hospitalization and were excluded from the analysis. Therefore, in this study, we focused on 450 patients and analyzed them as a cohort. Patient characteristics are described in Table 1.

3.1. Incidence and Risk Factors of AKI

One-hundred one patients (22.4%) developed AKI in the first 48 hours after surgery, as follows: 64 patients (63.4%) were at stage 1, 20 patients (19.8%) were at stage 2, and 17 patients were at stage 3 (16.8%). Patients with postoperative AKI were older () and were more likely to have preexisting ischemic heart disease (), preexisting congestive heart failure (), preexisting cerebrovascular disease (), preexisting COPD (), and solid malignancies (), to be ASA IV/V (), to have higher RCRI score () and nonrenal RCRI score (). Additionally, patients with AKI were more likely to have lower preoperative hemoglobin levels () and higher preoperative SCr (). Colorectal surgery (), longer duration of anesthesia (), intraoperative hypotension episodes (), intraoperative colloids, and crystalloids as compared with crystalloids without colloids (), as well as the amount of colloids used (), intraoperative erythrocytes transfusions (), and intraoperative vasoactive drugs () were associated with increased incidence of postoperative AKI. Illness severity as evaluated by SAPS II () and nonrenal SAPS II () were also higher in patients with postoperative AKI than in those patients who did not have AKI (Table 2). Age (adjusted OR 1.02 per year, 95% CI 1.01–1.05 per year), nonrenal RCRI (adjusted OR 1.9 per point, 95% CI 1.3–3.1, ), intraoperative erythrocytes transfusions (adjusted OR 2.2 per unit, 95% CI 1.4–3.5, ), and nonrenal SAPS II (adjusted OR 1.03 per point, 95% CI 1.01–1.06, ) were independently associated with postoperative AKI (Table 3).

3.2. Outcome

Ten out of the 101 patients with AKI (9.9%) received renal replacement therapy (eight patients were treated with continuous venovenous hemodiafiltration and two patients with intermittent hemodialysis). Patients with postoperative AKI were more likely to develop postoperative complications such as hemorrhage () and anastomotic leak (), were more likely to be transferred to ICU (), and had lengthened PACU () and hospital stay () (Table 4).

Patients with postoperative AKI had higher in-hospital mortality than those patients who did not develop AKI (20.8 versus 2.3%, ; unadjusted OR 11.2, 95% CI 4.8–26.2, ). After adjusting for other covariates, AKI was independently associated with increased in-hospital mortality (adjusted OR 3.7, 95% CI 1.2–11.7, ) (Table 5). Moderate-to-severe AKI (stages 2 and 3) (in-hospital mortality 62%; unadjusted OR 36.6, 95% CI 15.1–89, ; adjusted OR 27.8, 95% CI 6.2–125, ) was associated with increased mortality, while mild AKI (stage 1) (in-hospital mortality 4.6%, unadjusted OR 0.7, 95% CI 0.2–2.3, ) was not. Causes of death in patients with postoperative AKI were sepsis in 10 patients (47.6%), cardiovascular disease in 4 patients (19%), and respiratory failure in 4 patients (19%) and it was unknown in 3 patients (14.3%); sepsis (4 patients, 50%), cardiovascular disease (2 patients, 25%), respiratory failure (one patient, 12.5%), and unknown cause (one patient, 12.5%) were the causes of death in patients who did not have postoperative AKI.

4. Discussion

We analyzed retrospectively the incidence, predictors, and impact on outcome of AKI in a cohort of 450 patients undergoing major nonvascular abdominal surgery.

The incidence of AKI (22.4%) was similar to that reported for cardiac surgery patients (26 to 30%) [31, 32] and higher than that described for major noncardiac surgery population (7.5%) [17]. Causey and colleagues reported an incidence of postoperative AKI of 11.8% in patients submitted to colorectal surgery. In this study, AKI was defined as an increase in SCr ≥ 50% and not considered an increase in SCr ≥ 0.3 mg/dL within a 48-hour timeframe and UO variations [18]. A large multicentric study performed in mixed cardiac and noncardiac surgery population described a lower incidence of postoperative AKI (1.1%). Exclusion of patients with preoperative SCr > 1.2 mg/dL or preoperative glomerular filtration rate (GFR) < 60 mL/min and a less broad definition of AKI (a rise in SCr level to 2X the baseline value or a 50% reduction in the GFR, not considering UO changes) could be at least in part responsible for this observation [33].

There have been a variety of predictive models developed to stratify risk in patients undergoing cardiac surgery [34–36] and major noncardiac surgery [16]. Similarly to Abelha and colleagues [17] we found an association between the RCRI score [22] with postoperative AKI in patients undergoing major noncardiac surgery. It should be remembered that RCRI score was developed for the prediction of cardiac risk based on six independent prognostic factors: high-risk surgery, ischemic heart disease, congestive heart disease, history of cerebrovascular disease, insulin therapy for diabetes, and preoperative SCr higher than 2.0 mg/dL. An ischemic insult to a more sensitive kidney could therefore explain why RCRI can predict postoperative AKI.

Although patients undergoing urgent surgery were more likely to have preexisting congestive heart failure and solid malignancies, to be ASA IV/V and to have higher preoperative SCr and higher nonrenal SAPS II, as well as to undergo colorectal surgery, to have longer duration of anesthesia and intraoperative hypotension episodes, and to receive intraoperative colloids and intraoperative erythrocytes transfusions (data not shown), characteristics also found in AKI patients, urgent surgery was not associated with increased risk of postoperative AKI. Unfortunately, we are not able to explain this phenomenon which has also been recently described in a large mixed cardiac and noncardiac surgery population [33].

Laparoscopic procedures require the creation of a pneumoperitoneum by insufflation of CO2. There appears to be sufficient evidence to conclude that both renal function and renal blood flow are decreased during pneumoperitoneum mostly due to the increased intraabdominal pressure and the associated hormonal modifications [37]. Nonetheless, we found a similar incidence of AKI between patients undergoing laparoscopy and patients submitted to laparotomy. Similar preoperative renal function (data not shown), an adequate intraoperative hydration status, and increased abdominal pressure usually monitored and limited to 12 mmHg could explain at least in part this finding.

Intraoperative erythrocytes transfusions were a risk factor for postoperative AKI independently of the preoperative hemoglobin level. Although the intended therapeutic effect of erythrocytes transfusion is to improve organ function by increasing tissue oxygen delivery, there is increasing evidence that transfused erythrocytes may actually contribute to organ injury in susceptible patients, particularly in patients undergoing cardiac surgery in whom perioperative transfusion is a risk factor for renal dysfunction and is associated with worse outcomes [38–40]. Transfused stored erythrocytes may impair tissue oxygen delivery, promote a proinflammatory state, exacerbate tissue oxidative stress, and activate leukocytes and the coagulation cascade [41–43].

Patients with AKI had an in-hospital mortality of 20.8% which was slightly lower than that reported in a mixed noncardiac surgery population (27%) [17] and higher than that described in patients undergoing cardiac surgery (5 to 9%) [31, 32, 44, 45]. In a large mixed cardiac and noncardiac surgery population, 30-day and 3-month mortality of patients with AKI were 36% and 48%, respectively [33].

Postoperative AKI was independently associated with increased in-hospital mortality (patients with AKI were 3.7 times more likely to die) and there was a relationship between more severe AKI and increased in-hospital mortality. Despite the fact that AKI has emerged as an independent risk factor of in-hospital mortality, it is not clinically unequivocal if AKI may be per se an aspect of worse clinical condition/surgery (our findings are in line with previous studies [1–3] which have shown that AKI predictors and AKI outcomes are closely related) or if AKI itself independently contributes to increased mortality. The mechanism by which AKI itself could contribute to increased mortality remains not completely understood but volume overload, coagulation abnormalities, an increased incidence of sepsis with multiorgan failure, and cytokine or immune-mediated major organ dysfunction are possible explanations [46, 47]. In the present study, causes of death were similar between patients with postoperative AKI and patients who did not have AKI in the postoperative period. Therefore, further studies are needed to ascertain the exact mechanisms by which AKI could confer an increased mortality in patients undergoing major nonvascular abdominal surgery.

This study has some important limitations. First, the single-centre nature of the study largely limits its generalizability, and its retrospective design with a relatively small cohort of patients did not allow the evaluation of other confounders with prognostic importance. Second, we were not able to conclude about the exact mechanisms contributing to increased mortality in postoperative AKI patients submitted to major nonvascular abdominal surgery.

Our study has, however, some important virtues. First, it characterizes, for the first time, the incidence, risk factors, and impact on outcome of AKI (defined according to standardized definition using simultaneously SCr and UO criteria) in major nonvascular abdominal surgery. Second, despite its retrospective design, studied variables were routinely registered in daily practice. Third, many covariates with impact on AKI development and outcome were analyzed. Finally, causes of death were attained.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

References

G. M. Chertow, E. Burdick, M. Honour, J. V. Bonventre, and D. W. Bates, “Acute kidney injury, mortality, length of stay, and costs in hospitalized patients,” Journal of the American Society of Nephrology, vol. 16, no. 11, pp. 3365–3370, 2005.
View at: Publisher Site | Google Scholar
S. Uchino, J. A. Kellum, R. Bellomo et al., “Acute renal failure in critically ill patients: a multinational, multicenter study,” Journal of the American Medical Association, vol. 294, no. 7, pp. 813–818, 2005.
View at: Publisher Site | Google Scholar
F. Barrantes, J. Tian, R. Vazquez, Y. Amoateng-Adjepong, and C. A. Manthous, “Acute kidney injury criteria predict outcomes of critically ill patients,” Critical Care Medicine, vol. 36, no. 5, pp. 1397–1403, 2008.
View at: Publisher Site | Google Scholar
J. A. Lopes, M. J. Melo, A. Viegas et al., “Acute kidney injury in hospitalized HIV-infected patients: a cohort analysis,” Nephrology Dialysis Transplantation, vol. 26, no. 12, pp. 3888–3894, 2011.
View at: Publisher Site | Google Scholar
E. Sirvinskas, J. Andrejaitiene, L. Raliene et al., “Cardiopulmonary bypass management and acute renal failure: risk factors and prognosis,” Perfusion, vol. 23, no. 6, pp. 323–327, 2008.
View at: Publisher Site | Google Scholar
L. S. De Santo, G. Romano, N. Galdieri et al., “RIFLE criteria for acute kidney injury in valvular surgery,” The Journal of heart valve disease, vol. 19, no. 1, pp. 139–148, 2010.
View at: Google Scholar
V. F. Seabra, S. Alobaidi, E. M. Balk, A. H. Poon, and B. L. Jaber, “Off-pump coronary artery bypass surgery and acute kidney injury: a meta-analysis of randomized controlled trials,” Clinical Journal of the American Society of Nephrology, vol. 5, no. 10, pp. 1734–1744, 2010.
View at: Publisher Site | Google Scholar
S. Demirjian, J. D. Schold, J. Navia et al., “Predictive models for acute kidney injury following cardiac surgery,” American Journal of Kidney Diseases, vol. 59, no. 3, pp. 382–389, 2012.
View at: Publisher Site | Google Scholar
A. Parolari, L. L. Pesce, D. Pacini et al., “Risk factors for perioperative acute kidney injury after adult cardiac surgery: role of perioperative management,” Annals of Thoracic Surgery, vol. 93, no. 2, pp. 584–591, 2012.
View at: Publisher Site | Google Scholar
L. G. Svensson, E. S. Crawford, K. R. Hess et al., “Experience with 1509 patients undergoing thoracoabdominal aortic operations,” Journal of Vascular Surgery, vol. 17, no. 2, pp. 357–370, 1993.
View at: Publisher Site | Google Scholar
L. G. Svensson, J. S. Coselli, H. J. Safi, K. R. Hess, and E. S. Crawford, “Appraisal of adjuncts to prevent acute renal failure after surgery on the thoracic or thoracoabdominal aorta,” Journal of Vascular Surgery, vol. 10, no. 3, pp. 230–239, 1989.
View at: Google Scholar
R. Wald, S. S. Waikar, O. Liangos, B. J. G. Pereira, G. M. Chertow, and B. L. Jaber, “Acute renal failure after endovascular vs open repair of abdominal aortic aneurysm,” Journal of Vascular Surgery, vol. 43, no. 3, pp. 460–466, 2006.
View at: Publisher Site | Google Scholar
M. Tallgren, T. Niemi, R. Pöyhiä et al., “Acute renal injury and dysfunction following elective abdominal aortic surgery,” European Journal of Vascular and Endovascular Surgery, vol. 33, no. 5, pp. 550–555, 2007.
View at: Publisher Site | Google Scholar
G. J. Arnaoutakis, A. Bihorac, T. D. Martin et al., “RIFLE criteria for acute kidney injury in aortic arch surgery,” Journal of Thoracic and Cardiovascular Surgery, vol. 134, no. 6, pp. 1554–1561, 2007.
View at: Publisher Site | Google Scholar
Y. Mori, N. Sato, Y. Kobayashi, and R. Ochiai, “Acute kidney injury during aortic arch surgery under deep hypothermic circulatory arrest,” Journal of Anesthesia, vol. 25, no. 6, pp. 799–804, 2011.
View at: Publisher Site | Google Scholar
S. Kheterpal, K. K. Tremper, M. J. Englesbe et al., “Predictors of postoperative acute renal failure after noncardiac surgery in patients with previously normal renal function,” Anesthesiology, vol. 107, pp. 892–902, 2007.
View at: Google Scholar
F. J. Abelha, M. Botelho, V. Fernandes, and H. Barros, “Determinants of postoperative acute kidney injury,” Critical Care, vol. 13, no. 3, article R79, 2009.
View at: Publisher Site | Google Scholar
M. W. Causey, J. A. Maykel, Q. Hatch, S. Miller, and S. R. Steele, “Identifying risk factors for renal failure and myocardial infarction following colorectal surgery,” Journal of Surgical Research, vol. 170, no. 1, pp. 32–37, 2011.
View at: Publisher Site | Google Scholar
A. Cho, J. E. Lee, G.-Y. Kwon et al., “Post-operative acute kidney injury in patients with renal cell carcinoma is a potent risk factor for new-onset chronic kidney disease after radical nephrectomy,” Nephrology Dialysis Transplantation, vol. 26, no. 11, pp. 3496–3501, 2011.
View at: Publisher Site | Google Scholar
A. Bihorac, S. Yavas, S. Subbiah et al., “Long-term risk of mortality and acute kidney injury during hospitalization after major surgery,” Annals of Surgery, vol. 249, no. 5, pp. 851–858, 2009.
View at: Publisher Site | Google Scholar
R. G. Small and R. E. Witt, “Major and minor surgery,” The Journal of the American Medical Association, vol. 191, pp. 180–182, 1965.
View at: Google Scholar
T. H. Lee, E. R. Marcantonio, C. M. Mangione et al., “Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery,” Circulation, vol. 100, no. 10, pp. 1043–1049, 1999.
View at: Google Scholar
P. K. Lindenauer, P. Pekow, K. Wang, D. K. Mamidi, B. Gutierrez, and E. M. Benjamin, “Perioperative beta-blocker therapy and mortality after major noncardiac surgery,” The New England Journal of Medicine, vol. 353, no. 4, pp. 349–361, 2005.
View at: Publisher Site | Google Scholar
“KDIGO Clinical Practice Guideline for Acute Kidney Injury,” Kidney International, vol. 2, pp. S1–S138, 2012.
View at: Google Scholar
K. G. Alberti and P. Z. Zimmet, “Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation,” Diabetic Medicine, vol. 15, pp. 539–553, 1998.
View at: Google Scholar
A. V. Chobanian, G. L. Bakris, H. R. Black et al., “The seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure: The JNC 7 Report,” Journal of the American Medical Association, vol. 289, no. 19, pp. 2560–2572, 2003.
View at: Publisher Site | Google Scholar
R. D. Dripps, “New classification of physical status,” Anesthesiology, vol. 24, article 111, 1963.
View at: Google Scholar
P. C. Hébert, G. Wells, M. A. Blajchman et al., “A multicenter, randomized, controlled clinical trial of transfusion requirements in critical care,” The New England Journal of Medicine, vol. 340, no. 6, pp. 409–417, 1999.
View at: Publisher Site | Google Scholar
S. M. Horwitz, K. Kelleher, P. M. T. Thomas Boyce et al., “Anemia and blood transfusion in critically ill patients,” Journal of the American Medical Association, vol. 288, no. 12, pp. 1499–1507, 2002.
View at: Google Scholar
J.-R. Le Gall, S. Lemeshow, and F. Saulnier, “A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study,” Journal of the American Medical Association, vol. 270, no. 24, pp. 2957–2963, 1993.
View at: Publisher Site | Google Scholar
L. Englberger, R. M. Suri, Z. Li et al., “Clinical accuracy of RIFLE and Acute Kidney Injury Network (AKIN) criteria for acute kidney injury in patients undergoing cardiac surgery,” Critical Care, vol. 15, no. 1, article R16, 2011.
View at: Publisher Site | Google Scholar
A. M. Robert, R. S. Kramer, L. J. Dacey et al., “Cardiac surgery-associated acute kidney injury: a comparison of two consensus criteria,” Annals of Thoracic Surgery, vol. 90, no. 6, pp. 1939–1943, 2010.
View at: Publisher Site | Google Scholar
S. Sabaté, C. Gomar, J. Canet, P. Sierra, and J. Castillo, “Risk factors for postoperative acute kidney injury in a cohort of 2378 patients from 59 hospitals,” Revista Española de Anestesiología y Reanimación, vol. 58, no. 9, pp. 548–555, 2011.
View at: Google Scholar
G. M. Chertow, J. M. Lazarus, C. L. Christiansen et al., “Preoperative renal risk stratification,” Circulation, vol. 95, no. 4, pp. 878–884, 1997.
View at: Google Scholar
C. V. Thakar, S. Arrigain, S. Worley, J.-P. Yared, and E. P. Paganini, “A clinical score to predict acute renal failure after cardiac surgery,” Journal of the American Society of Nephrology, vol. 16, no. 1, pp. 162–168, 2005.
View at: Publisher Site | Google Scholar
D. N. Wijeysundera, K. Karkouti, W. S. Beattie, V. Rao, and J. Ivanov, “Improving the identification of patients at risk of postoperative renal failure after cardiac surgery,” Anesthesiology, vol. 104, no. 1, pp. 65–72, 2006.
View at: Publisher Site | Google Scholar
S. Demyttenaere, L. S. Feldman, and G. M. Fried, “Effect of pneumoperitoneum on renal perfusion and function: a systematic review,” Surgical Endoscopy and Other Interventional Techniques, vol. 21, no. 2, pp. 152–160, 2007.
View at: Publisher Site | Google Scholar
C. G. Koch, L. Li, D. I. Sessler et al., “Duration of red-cell storage and complications after cardiac surgery,” The New England Journal of Medicine, vol. 358, no. 12, pp. 1229–1239, 2008.
View at: Publisher Site | Google Scholar
K. Karkouti, D. N. Wijeysundera, T. M. Yau et al., “Acute kidney injury after cardiac surgery. Focus on modifiable risk factors,” Circulation, vol. 119, no. 4, pp. 495–502, 2009.
View at: Publisher Site | Google Scholar
A. Parolari, L. L. Pesce, D. Pacini et al., “Risk factors for perioperative acute kidney injury after adult cardiac surgery: role of perioperative management,” Annals of Thoracic Surgery, vol. 93, no. 2, pp. 584–591, 2012.
View at: Publisher Site | Google Scholar
E. Almac and C. Ince, “The impact of storage on red cell function in blood transfusion,” Best Practice and Research, vol. 21, no. 2, pp. 195–208, 2007.
View at: Publisher Site | Google Scholar
A. Tinmouth, D. Fergusson, I. C. Yee, and P. C. Hébert, “Clinical consequences of red cell storage in the critically ill,” Transfusion, vol. 46, no. 11, pp. 2014–2027, 2006.
View at: Publisher Site | Google Scholar
L. J. Cardo, P. Hmel, and D. Wilder, “Stored packed red blood cells contain a procoagulant phospholipid reducible by leukodepletion filters and washing,” Transfusion and Apheresis Science, vol. 38, no. 2, pp. 141–147, 2008.
View at: Publisher Site | Google Scholar
M. Haase, R. Bellomo, G. Matalanis, P. Calzavacca, D. Dragun, and A. Haase-Fielitz, “A comparison of the RIFLE and Acute Kidney Injury Network classifications for cardiac surgery-associated acute kidney injury: a prospective cohort study,” Journal of Thoracic and Cardiovascular Surgery, vol. 138, no. 6, pp. 1370–1376, 2009.
View at: Publisher Site | Google Scholar
S.-Y. Li, J.-Y. Chen, W.-C. Yang, and C.-L. Chuang, “Acute kidney injury network classification predicts in-hospital and long-term mortality in patients undergoing elective coronary artery bypass grafting surgery,” European Journal of Cardio-thoracic Surgery, vol. 39, no. 3, pp. 323–328, 2011.
View at: Publisher Site | Google Scholar
K. J. Kelly, “Distant effects of experimental renal ischemia/reperfusion injury,” Journal of the American Society of Nephrology, vol. 14, no. 6, pp. 1549–1558, 2003.
View at: Publisher Site | Google Scholar
X. Li, H. T. Hassoun, R. Santora, and H. Rabb, “Organ crosstalk: the role of the kidney,” Current Opinion in Critical Care, vol. 15, no. 6, pp. 481–487, 2009.
View at: Publisher Site | Google Scholar

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Copyright © 2014 Catarina Teixeira et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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