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World Journal of Transplantation logoLink to World Journal of Transplantation
. 2018 Apr 24;8(2):44–51. doi: 10.5500/wjt.v8.i2.44

Cumulative positive fluid balance is a risk factor for acute kidney injury and requirement for renal replacement therapy after liver transplantation

Liana Codes 1, Ygor Gomes de Souza 2, Ricardo Azevedo Cruz D’Oliveira 3, Jorge Luiz Andrade Bastos 4, Paulo Lisboa Bittencourt 5
PMCID: PMC5915376  PMID: 29696105

Abstract

AIM

To analyze whether fluid overload is an independent risk factor of adverse outcomes after liver transplantation (LT).

METHODS

One hundred and twenty-one patients submitted to LT were retrospectively evaluated. Data regarding perioperative and postoperative variables previously associated with adverse outcomes after LT were reviewed. Cumulative fluid balance (FB) in the first 12 h and 4 d after surgery were compared with major adverse outcomes after LT.

RESULTS

Most of the patients were submitted to a liberal approach of fluid administration with a mean cumulative FB over 5 L and 10 L, respectively, in the first 12 h and 4 d after LT. Cumulative FB in 4 d was independently associated with occurrence of both AKI and requirement for renal replacement therapy (RRT) (OR = 2.3; 95%CI: 1.37-3.86, P = 0.02 and OR = 2.89; 95%CI: 1.52-5.49, P = 0.001 respectively). Other variables on multivariate analysis associated with AKI and RRT were, respectively, male sex and Acute Physiology and Chronic Health Disease Classification System (APACHE II) levels and sepsis or septic shock. Mortality was shown to be independently related to AST and APACHE II levels (OR = 2.35; 95%CI: 1.1-5.05, P = 0.02 and 2.63; 95%CI: 1.0-6.87, P = 0.04 respectively), probably reflecting the degree of graft dysfunction and severity of early postoperative course of LT. No effect of FB on mortality after LT was disclosed.

CONCLUSION

Cumulative positive FB over 4 d after LT is independently associated with the development of AKI and the requirement of RRT. Survival was not independently related to FB, but to surrogate markers of graft dysfunction and severity of postoperative course of LT.

Keywords: Liver transplantation, Fluid balance, Acute kidney injury


Core tip: Whether fluid overload is an independent mediator of adverse outcomes on early postoperative liver transplantation (LT). The influence of fluid accumulation on morbidity and mortality after LT has not been well evaluated up to now. This study aims to analyze whether fluid management influences the early postoperative outcome after LT. Cumulative positive fluid balance (FB) over 4 d after LT influence the development of acute kidney injury and it is a risk factor for the requirement for renal replacement therapy. Survival is not independently related to FB but to surrogate markers of graft dysfunction.

INTRODUCTION

It is well recognized that fluid overload in critically-ill patients may lead to anasarca, pulmonary edema, abdominal compartment syndrome (ACS) and also multiple organ dysfunction due to its deleterious effect in tissue perfusion[1-3]. In this regard, positive fluid balance (FB) has been shown to be associated with adverse outcomes in patients admitted to the intensive care unit (ICU) with sepsis and septic shock[4-6], acute respiratory distress syndrome (ARDS)[7,8], acute kidney injury (AKI)[9-15] and cancer[16]. Conversely, positive FB was also linked to increased morbidity and mortality after abdominal surgery[17-19], including esophagectomy[20], open aortic aneurysm repair[21] and rectal cancer surgery[22]. In most of these reports cumulative FB in the first 4 d were reliable indicators of worse outcomes in clinical[4] and surgical[21] ICU patients. On the contrary, restrictive fluid administration policies have led to a reduction in overall morbidity, including AKI, and increased survival in surgical[23-26] and medical[9,27,28] patients in the ICU. Few data is available in the literature concerning the impact of positive FB in the postoperative course of liver transplantation (LT)[29-32]. Some authors have described an increased frequency of postoperative pulmonary morbidity[29-32] and ileus[31] that could be prevented with restrictive administration of fluids[30,31]. No association between FB and AKI or survival after LT was disclosed in those aforementioned studies[29-32].

The aims of the present study were analyze whether cumulative positive FB is associated with the occurrence of AKI, requirement for renal replacement therapy (RRT) and 28-d mortality after LT.

MATERIALS AND METHODS

One-hundred twenty one patients submitted to LT at the Portuguese Hospital of Salvador, Bahia, Brazil who underwent surgery in a period of 5 years were retrospectively evaluated. All medical and surgical charts as well as electronic files were reviewed by a single observer in order to collect data regarding perioperative and postoperative variables, previously associated with adverse outcomes after LT, including demographics; etiology of liver disease; indication for LT; severity of liver disease assessed by MELD and Child-Pugh scores; perioperative parameters such as cold ischemia time, duration of surgery, need for inotropic support, FB and use of vasoactive drugs; Acute Physiology and Chronic Health Disease Classification System (APACHE II) score, peak lactate, AST and ALT levels; occurrence of postoperative complications, including early allograft dysfunction (EAD) and primary graft non-function (PGNF), biliary strictures or leaks, hepatic artery thrombosis or stenosis, AKI and requirement for RRT, acute rejection, sepsis and septic shock; cumulative FB in the first 12 h and 4 d; length of stay (LOS) in the ICU and in the hospital; mortality and causes of death in the first 28 d. The patients were evaluated in a single admission, when they entered the hospital to be transplanted

Child-Pugh, MELD and APACHE II scores were calculated as previously described[33-35]. Early allograft dysfunction was defined according to the definition of Olthoff et al[36] and PGNF was defining as EAD leading to death or retransplantation. The definition of AKI was based on The Kidney Disease Improving Global Outcomes (KDIGO) criteria published 2012[37]. Patients were evaluated by a nephrologist when dialysis was indicated. Fluid balance was defined as the difference between oral intake and/or intravenous fluid administration and urine output. Other potential causes for fluid losses including nasogastric aspirates, vomiting or diarrhea were not recorded. All patients received either normal saline or Ringer’s lactate solution. Cumulative FB was calculated arbitrarily 12 h and 4 d after LT in order to evaluate the impact of fluid administration early in the postoperative period and thereafter after the initial phases of volume resuscitation. Cumulative FB in those chosen periods after admission to the ICU were also previously associated with adverse outcomes in other reports[4,26,30].

Cumulative FB in the first 12 h and 4 d after surgery were compared with three major adverse outcomes after LT, including the occurrence of AKI, requirement for RRT and 28-d mortality, as well as the other aforementioned variables previously known to influence morbidity and mortality after LT.

All patients granted informed consent at hospital admission. The study was approved by the Ethics Committee in Research of the Portuguese Hospital of Salvador, Bahia.

Statistical analysis

Descriptive analysis was performed. Continuous variables were expressed as mean ± SD and categorical variables as proportions. Univariate analysis of perioperative and postoperative parameters was tested using χ2 test or the Fisher exact probability test when appropriate. Continuous variables were compared using the Mann-Whitney test[38]. Multivariate analysis using stepwise logistic regression was performed to evaluate the specific effect of each predictor[39]. Variables included in the multivariate model were those that achieved significance level of P < 0.20 in the univariate analysis. P value equal or less than 0.05 were considered significant. 95% confidence intervals were reported, when appropriate. The analysis of the residues was included in the steps of the logistic regression. All statistical analysis was performed using SPSS version 17.0 for Windows (SPSS Inc, Chicago, IL, United States).

RESULTS

Baseline clinical and laboratory data of those 121 patients included in the study are depicted in Table 1. Briefly most of the patients were males with a mean age of 50 ± 13 years and had decompensated cirrhosis (77%) due to hepatitis C and or alcoholic liver disease (72%) with mean Child-Pugh and MELD, respectively, of 9 ± 2 and 18 ± 6 (Table 1). The perioperative and postoperative information concerning the clinical course of those subjects are summarized in Table 2. Median cold ischemia time and duration of surgery were 520 ± 170 and 333 ± 104 min respectively. High peak AST and ALT levels were observed (Table 2) and the frequencies of EAD and PGNF encountered were 22% and 6%, respectively. Cumulative FB observed in the first 12 h and 4 d were, respectively, 5573 ± 2417 and 10956 ± 5117 mL. AKI occurred in 87 (72%) patients, all with either type 2 (n = 44) or type 3 (n = 43) AKI. Twenty six patients required RRT 4 ± 2 d after surgery. The LOS in the ICU and in the hospital was, respectively, 12 ± 11 d and 19 ± 12 d. Eleven (9%) patients died due to PGNF (n = 7), septic shock (n = 2) and intraabdominal bleeding (n = 1) 10 9 d after surgery (Table 2).

Table 1.

Baseline characteristics before liver transplantation (n = 121)

Male sex 106 (88%)
Age (yr) 50 ± 13
Etiology of chronic liver disease
Hepatitis C 39 (32%)
Hepatitis C and alcoholic liver disease 12 (10%)
Alcoholic liver disease 36 (30%)
Cryptogenic and/or non-alcoholic steatohepatitis 10 (8%)
Hepatitis B 4 (3%)
Cholestatic liver disease 6 (5%)
Autoimmune hepatitis 4 (3%)
Others 10 (8%)
Indication for liver transplantation
Decompensated cirrhosis 93 (77%)
Hepatocellular carcinoma 28 (23%)
Severity of liver disease at admission
Child-Pugh score 9 ± 2
MELD score 18 ± 6

Data are expressed as mean ± SD. MELD: Model for end-stage liver disease.

Table 2.

Intraoperative and postoperative features of the patients submitted to liver transplantation (n = 121)

Cold ischemia time (min) 520 ± 170
Duration of surgery (min) 333 ± 104
Use of blood products 77 (63%)
Number of packed red blood cell units 1.9 ± 3.1
Use of vasoactive drugs (norepinephrine) 38 (31%)
Peak of arterial lactate in the first 24 h (mmol/L) 2.3 ± 2.0
APACHE II score 24 h after admission 15 ± 4
Peak of AST levels (U/L) 3058 ± 4820
Peak of ALT levels (U/L) 1357 ± 1542
Postoperative complications
Early allograft dysfunction 26 (22%)
Primary graft non-function 7 (6%)
Biliary strictures and/or leaks 5 (4%)
Arterial thrombosis or stenosis 5 (4%)
Acute rejection 32 (26%)
Sepsis or septic shock 38 (31%)
AKI 87 (72%)
AKI type 1 0
AKI type 2 44 (36%)
AKI type 3 43 (36%)
RRT 26 (22%)
Fluid balance (mL)
Intraoperative 3829 ± 1904
Cumulative FB in the first 12 h 5473 ± 2417
Cumulative FB in the first 4 d 10956 ± 5117
Length of stay in ICU (d) 12 ± 11
Length of stay in the hospital (d) 19 ± 12
Mortality 11 (9%)

Data are expressed as mean ± SD. APACHE II: Acute Physiology and Chronic Health Disease Classification System; AKI: Acute kidney injury; RRT: Renal replacement therapy; FB: Fluid balance; ICU: Intensive care unit.

The occurrence of AKI was associated with male sex (94% vs 71% of the patients without AKI, P = 0.0001), number of packed red blood cells transfused (2.2 ± 3.4 vs 1.0 ± 1.7 of subjects without AKI, P = 0.01), use of norepinephrine (37% vs 18% of patients without AKI, P = 0.032), peak AST levels (3535 ± 5511 vs 1789 ± 1524 of patients without AKI, P = 0.022), occurrence of EAD (28% vs 4% of patients without AKI) and cumulative FB in the first 12 h (5743 ± 2610 mL vs 4780 ± 1673 mL of patients without AKI, P = 0.05) and 4 d (11841 ± 5395 mL vs 8690 ± 3469 mL of patients without AKI, P = 0.05) (Table 3), but the difference remained significant in the multivariate analysis only for male sex and cumulative FB over 4 d.

Table 3.

Comparison of baseline, intra-operative and postoperative features of patients submitted to liver transplantation according to the presence of acute kidney injury

No AKI (n = 34) AKI (n = 87) P value
Age (yr) 51 ± 13 50 ± 12 0.643
Male sex 24 (71%) 82 (94%) 0.0001
Child-Pugh score at admission 8 ± 2 10 ± 2 0.840
MELD score at admission 17 ± 6 18 ± 6 0.868
APACHE II score 24 h after admission 14 ± 3 15 ± 4 0.142
Cold ischemia time (min) 537 ± 187 513 ± 164 0.267
Duration of surgery (min) 324 ± 131 336 ± 92 0.439
Use of blood products 59% 66% 0.490
Number of packed red blood cell units 1.0 ± 1.7 2.2 ± 3.4 0.010
Use of vasoactive drugs 6 (18%) 32 (37%) 0.032
Peak of arterial lactate in the first 24 h (mmol/L) 2.2 ± 1.4 2.4 ± 2.2 0.208
Peak AST levels (U/L) 1789 ± 1524 3535 ± 5511 0.022
Postoperative complications
Early allograft dysfunction 3 (4%) 24 (28%) 0.019
Biliary strictures and/or leaks 1 (3%) 4 (5%) 0.567
Arterial thrombosis or stenosis 2 (6%) 3 (3%) 0.433
Acute rejection 10 (29%) 22 (25%) 0.402
Sepsis or septic shock 8 (24%) 30 (34%) 0.305
Cumulative FB in the first 12 h 4780 ± 1673 5743 ± 2610 0.050
Cumulative FB in the first 4 d 8690 ± 3463 11841 ± 5395 0.050
Length of stay in ICU (d) 8 ± 8 13 ± 11 0.087
Length of stay in the hospital (d) 15 ± 7 20 ± 12 0.001
Mortality 1 (3%) 10 (12%) 0.128

Data are expressed as mean ± SD. AKI: Acute kidney injury; MELD: Model for end-stage liver disease; APACHE II: Acute Physiology and Chronic Health Disease Classification System; FB: Fluid balance; ICU: Intensive care unit.

In the univariate analysis, RRT was related to male sex (100% vs 84% in patients without RRT, P = 0.0001), APACHE II levels (18% ± 6% vs 14% ± 4% in patients without RRT, P = 0.03), use of blood products (81% vs 59% in patients without RRT, P = 0.03), use of norepinephrine (50% vs 26% in patients without RRT, P = 0.02), peak levels of arterial lactate in the first 24 h (3.3 ± 3.5 mmol/l vs 2.1 ± 1.3 mmol/L in patients without RRT, P = 0.0001), peak of AST level (6599 ± 9060 U/L vs 2144 ± 2157 U/L, in patients without RRT, p 0.0001), occurrence of EAD (50% vs 15% in patients without RRT, P = 0.0001), septic shock (58% vs 24% in patients without RRT, P = 0.0001), cumulative FB in the first 12 h (7146 ± 2538 mL vs 5014 ± 2181 mL in patients without RRT, P = 0.005) and cumulative FB over 4 d (14924 ± 7345 mL vs 9868 ± 3677 mL in patients without RRT, P = 0.0001) (Table 4). As expected, mortality (35% vs 2% in patients without RRT, P = 0.0001), LOS in the ICU (20 ± 14 vs 9 ± 9 in patients without RRT, P = 0.002) and in the hospital (24 ± 14 vs 17 ± 10 in patients without RRT, P = 0.007) were significantly increased in those patients requiring RRT (Table 4). However, only APACHE II levels, occurrence of sepsis or septic shock and cumulative FB in the first 4 d remained significant variables related to RRT in the multivariate analysis.

Table 4.

Comparison of baseline, intra-operative and postoperative features of patients submitted to liver transplantation according to requirement of renal replacement therapy

No RRT (n = 95) RRT (n = 26) P value
Age (yr) 49 ± 12 53 ± 12 0.960
Male sex 80 (84%) 26 (100%) 0.0001
Child-Pugh score at admission 9 ± 2 10 ± 2 0.800
MELD score at admission 18 ± 6 19 ± 7 0.420
APACHE II 24 h after admission 14 ± 4 18 ± 6 0.030
Cold ischemia time (min) 506 ± 166 587 ± 175 0.470
Duration of surgery (min) 322 ± 103 372 ± 102 0.500
Use of blood products 59% 81% 0.030
Number of packed red blood cell units 1.6 ± 2.7 2.7 ± 4.2 0.080
Use of vasoactive drugs 25 (26%) 13 (50%) 0.020
Peak of arterial lactate in the first 24 h (mmol/L) 2.1 ± 1.3 3.3 ± 3.5 0.0001
Peak AST levels (U/L) 2144 ± 2157 6599 ± 9060 0.0001
Postoperative complications
Early allograft dysfunction 14 (15%) 13 (50%) 0.0001
Biliary strictures and/or leaks 3 (3%) 2 (8%) 0.292
Arterial thrombosis or stenosis 5 (5%) 0 (0) 0.290
Acute rejection 27 (28%) 5 (19%) 0.249
Sepsis or septic shock 23 (24%) 15 (58%) 0.0001
Cumulative FB in the first 12 h 5014 ± 2181 7146 ± 2538 0.005
Cumulative FB in the first 4 d 9868 ± 3677 14924 ± 7345 0.0001
Length of stay in ICU (d) 9 ± 9 20 ± 14 0.002
Length of stay in the hospital (d) 17 ± 10 24 ± 14 0.007
Mortality 2 (2%) 9 (35%) 0.0001

Data are expressed as mean ± SD. RRT: Renal replacement therapy; MELD: Model for end-stage liver disease; APACHE II: Acute Physiology and Chronic Health Disease Classification System; FB: Fluid balance; ICU: Intensive care unit.

In respect to mortality in 28 d (Table 5), univariate analysis revealed an association with the number of packed red blood cell units transfused (3.6 ± 6 units vs 1.7 ± 2.6 units in survivors, P = 0.0001), peak of arterial lactate in the first 24 h (4.9 ± 4.2 mmol/L vs 2.1 ± 1.4 mmol/L in survivors, P = 0.0001), peak AST levels (11289 ± 13591 U/L vs 2372 ± 2280 U/L in survivors, P = 0.0001), EAD (72% vs 17% in survivors, P = 0.0001), acute rejection (0% vs 29% in survivors, P = 0.03), cumulative FB in 4 d (19073 ± 9416 mL vs 10144 ± 3656 mL in survivors, P = 0.00001), RRT (82% vs 15% in survivors, P = 0.001) (Table 5), but only APACHE II and AST levels remained significant in the multivariate analysis (Table 6).

Table 5.

Comparison of baseline, intra-operative and postoperative features of patients submitted to liver transplantation according to mortality in 28 d

Survivors (n = 110) Non survivors (n = 11) P value
Age (yr) 50 ± 12 52 ± 13 0.780
Male sex 95 (86%) 11 (100%) 0.218
Child-Pugh score at admission 9 ± 2 10 ± 3 0.360
MELD score at admission 18 ± 6 19 ± 9 0.060
APACHE II 24 h after admission 14 ± 3 21 ± 6 0.060
Cold ischemia time (min) 512 ± 167 628 ± 177 0.080
Duration of surgery (min) 324 ± 98 417 ± 130 0.060
Use of blood products 64% 64% 0.620
Number of packed red blood cell units 1.7 ± 2.6 3.6 ± 6 0.000
Use of vasoactive drugs 32(29%) 6 (55%) 0.090
Peak of arterial lactate in the first 24 h (mmol/L) 2.1 ± 1.4 4.9 ± 4.2 0.0001
Peak AST levels (U/L) 2372 ± 2280 11289 ± 13591 0.0001
Postoperative complications
Early allograft dysfunction 19 (17%) 8 (72%) 0.0001
Biliary strictures and/or leaks 5 (5%) 0 0.620
Arterial thrombosis or stenosis 5 (5%) 0 0.620
Acute rejection 32 (29%) 0 0.030
Sepsis or septic shock 34 (31%) 4 (36%) 0.740
Cumulative FB in the first 12 h 5205 ± 2233 8140 ± 2677 0.600
Cumulative FB in the first 4 d 10144 ± 3656 19073 ± 9416 0.00001
Length of stay in ICU (d) 12 ± 10 14 ± 11 0.360
Length of stay in the hospital (d) 18 ± 11 13 ± 10 0.070
AKI 77 (70%) 10 (90%) 0.140
RRT 17 (15%) 9 (82%) 0.0001

Data are expressed as mean ± SD. LT: Liver transplantation; MELD: Model for end-stage liver disease; APACHE II: Acute Physiology and Chronic Health Disease Classification System; FB: Fluid balance; ICU: Intensive care unit; AKI: Acute kidney injury; RRT: Renal replacement therapy.

Table 6.

Multivariate analysis of predictors of acute kidney injury, renal replacement therapy and mortality of patients submitted to liver transplantation

Odds ratio 95%CI P value
AKI
Male sex 9.29 1.48-58.24 0.017
Cumulative FB in the first 4 d 2.3 1.37-3.86 0.020
RRT
APACHE II 24 h after admission 2.5 1.36-4.62 0.003
Sepsis or septic shock 14.7 0.99-2.18 0.050
Cumulative FB in the first 4 d 2.89 1.52-5.49 0.001
Mortality
AST levels (U/L) 2.35 1.1-5.05 0.020
APACHE II 24 h after admission 2.63 1.0-6.87 0.040

AKI: Acute kidney injury; RRT: Renal replacement therapy; APACHE II: Acute Physiology and Chronic Health Disease Classification System; FB: Fluid balance.

DISCUSSION

Despite the development of several strategies to assess fluid responsiveness[40], fluid administration in the ICU remains largely empirical in daily practice. It is usually guided by bedside simple hemodynamic and laboratory parameters and urine output measurement. Early-goal directed therapy using large volume of fluids to restore tissue perfusion in sepsis and septic shock has been shown to improve survival[41] and it is still considered today as the cornerstone of resuscitation in septic shock and sepsis-induced tissue hypoperfusion[42]. It may lead however, on the other hand, to post-resuscitation fluid overload with its detrimental effect in tissue perfusion leading to organ dysfunction and failure[1-3]. In surgical patients, fluid overload, usually assessed by cumulative FB, has been associated with impaired wound healing, ACS, postoperative pulmonary morbidity, as well as AKI with a detrimental influence not only on morbidity[1-3,10,11], but also on patient survival[13]. On the contrary, a restrictive approach on fluid administration has been shown to improve morbidity after major surgery, including LT[17,29-32], and mortality[17]. Concerning the influence of FB on the outcome of LT, other authors have shown detrimental effects of a cumulative positive FB concerning postoperative pulmonary complications and ileus[29-32]. Jiang et al[29], have demonstrated that a negative FB in the first 3 d after LT was linked to a decrease the frequency of early pulmonary complications. Lin et al[32] furthermore have described an increased incidence of postoperative pulmonary morbidity in patients submitted to LT who received a large amount of fluids and blood transfusions intraoperatively. Not surprisingly, protection from postoperative pulmonary morbidity was related to a negative FB in the first three days after LT. Later on, the same group of investigators demonstrated that employment of more than 100 mL/kg of blood transfusion intraoperatively and a FB equal or less than -14 mL/kg per day in the first three days after LT were inversely associated with postoperative pulmonary complications, when assessed by extubation time. Beneficial effects were also observed in frequency of postoperative ileus and ICU LOS. Reydellet et al[31] performed a before and after study comparing two resuscitation protocols after LT. The patients submitted to a liberal approach of fluid administration had significantly increased cumulative FB at 24 and 48 h when compared to their counterparts submitted to a more restricted fluid approach per protocol. Those patients submitted to a more restricted fluid approach had fewer days on mechanical ventilation and on postoperative ileus. None of the authors have investigated the influence of FB in the development of AKI after LT.

In the present study, most of the patients were submitted to a liberal approach of fluid administration with a mean cumulative FB over 5 and 10 L in the first 12 h and 4 d after LT. Several preoperative and postoperative variables were associated either with development of AKI and/or requirement for RRT, but only cumulative FB in 4 d were independently associated with occurrence of both AKI and requirement for RRT. Other variables on multivariate analysis associated with AKI and RRT were, respectively, male and APACHE II levels and sepsis or septic shock. Mortality was shown to be independently related to AST and APACHE II levels, probably reflecting the degree of graft dysfunction and severity of early postoperative course of LT. No effect of FB on mortality after LT was disclosed in the present study.

Although there is an increasing interest in the use of biomarkers to help identify AKI at an earlier stage, they were not used in the study. Patients with cirrhosis frequently have predisposing factors for the development of kidney diseases, such as advanced age, diabetes, and hypertension. In addition, specific liver diseases may be associated with kidney disease, such as HBV/HCV-associated glomerulonephritis or alcohol-related IgA nephropathy. In this study, the definition of AKI was based on The Kidney Disease Improving Global Outcomes criteria. This definition has been validated and it considers increases in serum creatinine from baseline known or presumed to have occurred within the prior 7 d. Early recognition of AKI in cirrhosis or in post-transplant is important in order to avoid factors that may contribute to further deterioration of renal function and to initiate appropriate management.

One of the major limitations of the present study is its retrospective design as well as the number of patients included in our cohort. We tried to control confounding variables through multivariate analysis. The authors also have to acknowledge that it is difficult to determine in such a study design whether cumulative FB may be a cause or consequence of disease severity or of AKI development, as postoperative resuscitation protocols were not standardized. However, our results do corroborate the detrimental effects of cumulative FB on the occurrence of AKI and requirement of RRT after LT, as demonstrated in several other clinical scenarios in the ICU[10-13,27,43].

In summary, cumulative positive fluid balance over 4 d after LT influence the development of AKI and is a risk factor for requirement of RRT. No effect on patient survival was independently related to FB, but to surrogate markers of graft dysfunction and severity of postoperative course of LT.

ARTICLE HIGHLIGHTS

Research background

Liver transplantation (LT) has become an option in treating a wide variety of liver diseases. Patients undergoing LT are at high risk of perioperative complications and death. Recently, there has been considerable interest in perioperative fluid therapy following major surgeries. Important question is whether fluid overload is an independent risk factor for adverse outcomes after LT. Previous reports indicate that restrictive strategy of fluids in surgical patients is beneficial. The influence of fluid accumulation on morbidity and mortality after LT has not been well evaluated up to now.

Research objectives

The aim of the study was to analyze whether cumulative positive fluid balance (FB) is associated with the occurrence of adverse outcomes after LT.

Research methods

Patients were retrospectively evaluated. In the present study, most of the patients were submitted to a liberal approach of fluid administration. Accumulated fluid balance (acFB), assessed within the first 12 hours and the 4 days following surgery, was compared with major adverse outcomes after LT.

Research results

Cumulative positive FB over 4 d after LT influences the development of acute kidney injury and it is a risk factor for the requirement for dialysis. No effect on patient survival was independently related to fluid balance.

Research conclusions

Our results show that fluid overload is a marker of severity of illness.

Research perspectives

We hope that these results may contribute to the management of liver grafted patients.

ACKNOWLEDGMENTS

The authors would like to thank Ana Luiza Machado de Codes for the statistical support.

Footnotes

Institutional review board statement: This study was approved by Ethics Committee in Research at Portuguese Hospital in Bahia, Brazil (CAAE: 81125717.2.0000.5029).

Informed consent statement: The institutional review board waived informed consent due to the retrospective study design without patient contact or intervention; thus representing minimal risk study.

Conflict-of-interest statement: There are no conflicts of interest relevant to the conduct of this study.

Data sharing statement: There are no additional data available.

Manuscript source: Invited manuscript

Peer-review started: February 19, 2018

First decision: March 7, 2018

Article in press: April 1, 2018

Specialty type: Transplantation

Country of origin: Brazil

Peer-review report classification

Grade A (Excellent): 0

Grade B (Very good): B

Grade C (Good): C

Grade D (Fair): 0

Grade E (Poor): 0

P- Reviewer: Kute VB, Zhang ZH S- Editor: Cui LJ L- Editor: A E- Editor: Wang CH

Contributor Information

Liana Codes, Unit of Gastroenterology and Hepatology, Portuguese Hospital of Salvador, Bahia 40140-901, Brazil.

Ygor Gomes de Souza, Unit of Gastroenterology and Hepatology, Portuguese Hospital of Salvador, Bahia 40140-901, Brazil.

Ricardo Azevedo Cruz D’Oliveira, Unit of Gastroenterology and Hepatology, Portuguese Hospital of Salvador, Bahia 40140-901, Brazil.

Jorge Luiz Andrade Bastos, Medical School of Bahia, Federal University of Bahia, Bahia 40110-100, Brazil.

Paulo Lisboa Bittencourt, Unit of Gastroenterology and Hepatology, Portuguese Hospital of Salvador, Bahia 40140-901, Brazil.

References

  • 1.Holte K, Sharrock NE, Kehlet H. Pathophysiology and clinical implications of perioperative fluid excess. Br J Anaesth. 2002;89:622–632. doi: 10.1093/bja/aef220. [DOI] [PubMed] [Google Scholar]
  • 2.Lee J, de Louw E, Niemi M, Nelson R, Mark RG, Celi LA, Mukamal KJ, Danziger J. Association between fluid balance and survival in critically ill patients. J Intern Med. 2015;277:468–477. doi: 10.1111/joim.12274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.McDermid RC, Raghunathan K, Romanovsky A, Shaw AD, Bagshaw SM. Controversies in fluid therapy: Type, dose and toxicity. World J Crit Care Med. 2014;3:24–33. doi: 10.5492/wjccm.v3.i1.24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Boyd JH, Forbes J, Nakada TA, Walley KR, Russell JA. Fluid resuscitation in septic shock: a positive fluid balance and elevated central venous pressure are associated with increased mortality. Crit Care Med. 2011;39:259–265. doi: 10.1097/CCM.0b013e3181feeb15. [DOI] [PubMed] [Google Scholar]
  • 5.Marik PE, Linde-Zwirble WT, Bittner EA, Sahatjian J, Hansell D. Fluid administration in severe sepsis and septic shock, patterns and outcomes: an analysis of a large national database. Intensive Care Med. 2017;43:625–632. doi: 10.1007/s00134-016-4675-y. [DOI] [PubMed] [Google Scholar]
  • 6.Sakr Y, Rubatto Birri PN, Kotfis K, Nanchal R, Shah B, Kluge S, Schroeder ME, Marshall JC, Vincent JL; Intensive Care Over Nations Investigators. Higher Fluid Balance Increases the Risk of Death From Sepsis: Results From a Large International Audit. Crit Care Med. 2017;45:386–394. doi: 10.1097/CCM.0000000000002189. [DOI] [PubMed] [Google Scholar]
  • 7.Sweeney RM, McAulley DF. Acute respiratory distress syndrome. Lancet. 2016;388:2416–2430. doi: 10.1016/S0140-6736(16)00578-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Stewart RM, Park PK, Hunt JP, McIntyre RC Jr, McCarthy J, Zarzabal LA, Michalek JE; National Institutes of Health/National Heart, Lung, Blood Institute Acute Respiratory Distress Syndrome Clinical Trials Network. Less is more: improved outcomes in surgical patients with conservative fluid administration and central venous catheter monitoring. J Am Coll Surg. 2009;208:725–735; discussion 735-737. doi: 10.1016/j.jamcollsurg.2009.01.026. [DOI] [PubMed] [Google Scholar]
  • 9.RENAL Replacement Therapy Study Investigators, Bellomo R, Cass A, Cole L, Finfer S, Gallagher M, Lee J, Lo S, McArthur C, McGuiness S, Norton R, Myburgh J, Scheinkestel C, Su S. An observational study fluid balance and patient outcomes in the Randomized Evaluation of Normal vs. Augmented Level of Replacement Therapy trial. Crit Care Med. 2012;40:1753–1760. doi: 10.1097/CCM.0b013e318246b9c6. [DOI] [PubMed] [Google Scholar]
  • 10.Salahuddin N, Sammani M, Hamdan A, Joseph M, Al-Nemary Y, Alquaiz R, Dahli R, Maghrabi K. Fluid overload is an independent risk factor for acute kidney injury in critically Ill patients: results of a cohort study. BMC Nephrol. 2017;18:45. doi: 10.1186/s12882-017-0460-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Payen D, de Pont AC, Sakr Y, Spies C, Reinhart K, Vincent JL; Sepsis Occurrence in Acutely Ill Patients (SOAP) Investigators. A positive fluid balance is associated with a worse outcome in patients with acute renal failure. Crit Care. 2008;12:R74. doi: 10.1186/cc6916. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Macedo E, Bouchard J, Soroko SH, Chertow GM, Himmelfarb J, Ikizler TA, Paganini EP, Mehta RL; Program to Improve Care in Acute Renal Disease Study. Fluid accumulation, recognition and staging of acute kidney injury in critically-ill patients. Crit Care. 2010;14:R82. doi: 10.1186/cc9004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Bouchard J, Soroko SB, Chertow GM, Himmelfarb J, Ikizler TA, Paganini EP, Mehta RL; Program to Improve Care in Acute Renal Disease (PICARD) Study Group. Fluid accumulation, survival and recovery of kidney function in critically ill patients with acute kidney injury. Kidney Int. 2009;76:422–427. doi: 10.1038/ki.2009.159. [DOI] [PubMed] [Google Scholar]
  • 14.Bellomo R, Ronco C, Mehta RL, Asfar P, Boisramé-Helms J, Darmon M, Diehl JL, Duranteau J, Hoste EAJ, Olivier JB, et al. Acute kidney injury in the ICU: from injury to recovery: reports from the 5th Paris International Conference. Ann Intensive Care. 2017;7:49. doi: 10.1186/s13613-017-0260-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Bagshaw SM, Brophy PD, Cruz D, Ronco C. Fluid balance as a biomarker: impact of fluid overload on outcome in critically ill patients with acute kidney injury. Crit Care. 2008;12:169. doi: 10.1186/cc6948. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.de Almeida JP, Palomba H, Galas FR, Fukushima JT, Duarte FA, Nagaoka D, Torres V, Yu L, Vincent JL, Auler JO Jr, Hajjar LA. Positive fluid balance is associated with reduced survival in critically ill patients with cancer. Acta Anaesthesiol Scand. 2012;56:712–717. doi: 10.1111/j.1399-6576.2012.02717.x. [DOI] [PubMed] [Google Scholar]
  • 17.Boland MR, Noorani A, Varty K, Coffey JC, Agha R, Walsh SR. Perioperative fluid restriction in major abdominal surgery: systematic review and meta-analysis of randomized, clinical trials. World J Surg. 2013;37:1193–1202. doi: 10.1007/s00268-013-1987-8. [DOI] [PubMed] [Google Scholar]
  • 18.Walsh SR, Walsh CJ. Intravenous fluid-associated morbidity in postoperative patients. Ann R Coll Surg Engl. 2005;87:126–130. doi: 10.1308/147870805X28127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Shim HJ, Jang JY, Lee SH, Lee JG. The effect of positive balance on the outcomes of critically ill noncardiac postsurgical patients: a retrospective cohort study. J Crit Care. 2014;29:43–48. doi: 10.1016/j.jcrc.2013.08.009. [DOI] [PubMed] [Google Scholar]
  • 20.Glatz T, Kulemann B, Marjanovic G, Bregenzer S, Makowiec F, Hoeppner J. Postoperative fluid overload is a risk factor for adverse surgical outcome in patients undergoing esophagectomy for esophageal cancer: a retrospective study in 335 patients. BMC Surg. 2017;17:6. doi: 10.1186/s12893-016-0203-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.McArdle GT, Price G, Lewis A, Hood JM, McKinley A, Blair PH, Harkin DW. Positive fluid balance is associated with complications after elective open infrarenal abdominal aortic aneurysm repair. Eur J Vasc Endovasc Surg. 2007;34:522–527. doi: 10.1016/j.ejvs.2007.03.010. [DOI] [PubMed] [Google Scholar]
  • 22.Boland MR, Reynolds I, McCawley N, Galvin E, El-Masry S, Deasy J, McNamara DA. Liberal perioperative fluid administration is an independent risk factor for morbidity and is associated with longer hospital stay after rectal cancer surgery. Ann R Coll Surg Engl. 2017;99:113–116. doi: 10.1308/rcsann.2016.0280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.de Aguilar-Nascimento JE, Diniz BN, do Carmo AV, Silveira EA, Silva RM. Clinical benefits after the implementation of a protocol of restricted perioperative intravenous crystalloid fluids in major abdominal operations. World J Surg. 2009;33:925–930. doi: 10.1007/s00268-009-9944-2. [DOI] [PubMed] [Google Scholar]
  • 24.Voldby AW, Brandstrup B. Fluid therapy in the perioperative setting-a clinical review. J Intensive Care. 2016;4:27. doi: 10.1186/s40560-016-0154-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Futier E, Constantin JM, Petit A, Chanques G, Kwiatkowski F, Flamein R, Slim K, Sapin V, Jaber S, Bazin JE. Conservative vs restrictive individualized goal-directed fluid replacement strategy in major abdominal surgery: A prospective randomized trial. Arch Surg. 2010;145:1193–1200. doi: 10.1001/archsurg.2010.275. [DOI] [PubMed] [Google Scholar]
  • 26.McArdle GT, McAuley DF, McKinley A, Blair P, Hoper M, Harkin DW. Preliminary results of a prospective randomized trial of restrictive versus standard fluid regime in elective open abdominal aortic aneurysm repair. Ann Surg. 2009;250:28–34. doi: 10.1097/SLA.0b013e3181ad61c8. [DOI] [PubMed] [Google Scholar]
  • 27.Neyra JA1, Li X, Canepa-Escaro F, Adams-Huet B, Toto RD, Yee J, Hedayati SS; Acute Kidney Injury in Critical Illness Study Group. Cumulative Fluid Balance and Mortality in Septic Patients With or Without Acute Kidney Injury and Chronic Kidney Disease. Crit Care Med. 2016;44:1891–900. doi: 10.1097/CCM.0000000000001835. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Durairaj L, Schmidt GA. Fluid therapy in resuscitated sepsis: less is more. Chest. 2008;133:252–263. doi: 10.1378/chest.07-1496. [DOI] [PubMed] [Google Scholar]
  • 29.Jiang GQ, Peng MH, Yang DH. Effect of perioperative fluid therapy on early phase prognosis after liver transplantation. Hepatobiliary Pancreat Dis Int. 2008;7:367–372. [PubMed] [Google Scholar]
  • 30.Jiang GQ, Chen P, Bai DS, Tan JW, Su H, Peng MH. Individualized peri-operative fluid therapy facilitating early-phase recovery after liver transplantation. World J Gastroenterol. 2012;18:1981–1986. doi: 10.3748/wjg.v18.i16.1981. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Reydellet L, Blasco V, Mercier MF, Antonini F, Nafati C, Harti-Souab K, Leone M, Albanese J. Impact of a goal-directed therapy protocol on postoperative fluid balance in patients undergoing liver transplantation: a retrospective study. Ann Fr Anesth Reanim. 2014;33:e47–e54. doi: 10.1016/j.annfar.2013.12.016. [DOI] [PubMed] [Google Scholar]
  • 32.Lin YH, Cai ZS, Jiang Y, Lü LZ, Zhang XJ, Cai QC. Perioperative risk factors for pulmonary complications after liver transplantation. J Int Med Res. 2010;38:1845–1855. doi: 10.1177/147323001003800532. [DOI] [PubMed] [Google Scholar]
  • 33.Foster AC, Roberts PJ. Biochemical and morphological aspects of kainic acid injection into rat cerebellum [proceedings] Br J Pharmacol. 1979;66:117P–118P. [PMC free article] [PubMed] [Google Scholar]
  • 34.Kamath PS, Wiesner RH, Malinchoc M, Kremers W, Therneau TM, Kosberg CL, D’Amico G, Dickson ER, Kim WR. A model to predict survival in patients with end-stage liver disease. Hepatology. 2001;33:464–470. doi: 10.1053/jhep.2001.22172. [DOI] [PubMed] [Google Scholar]
  • 35.Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985;13:818–829. [PubMed] [Google Scholar]
  • 36.Olthoff KM, Kulik L, Samstein B, Kaminski M, Abecassis M, Emond J, Shaked A, Christie JD. Validation of a current definition of early allograft dysfunction in liver transplant recipients and analysis of risk factors. Liver Transpl. 2010;16:943–949. doi: 10.1002/lt.22091. [DOI] [PubMed] [Google Scholar]
  • 37.Khwaja A. KDIGO clinical practice guidelines for acute kidney injury. Nephron Clin Pract. 2012;120:c179–c184. doi: 10.1159/000339789. [DOI] [PubMed] [Google Scholar]
  • 38.Zhang Z. Univariate description and bivariate statistical inference: the first step delving into data. Ann Transl Med. 2016;4:91. doi: 10.21037/atm.2016.02.11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Zhang Z. Variable selection with stepwise and best subset approaches. Ann Transl Med. 2016;4:136. doi: 10.21037/atm.2016.03.35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Monnet X, Marik PE, Teboul JL. Prediction of fluid responsiveness: an update. Ann Intensive Care. 2016;6:1–11. doi: 10.1186/s13613-016-0216-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Rivers E, Nguyen B, Havstad S, Ressler J, Muzzin A, Knoblich B, Peterson E, Tomlanovich M; Early Goal-Directed Therapy Collaborative Group. Early goal-directed therapy in the treatment of severe sepsis and septic shock. N Engl J Med. 2001;345:1368–1377. doi: 10.1056/NEJMoa010307. [DOI] [PubMed] [Google Scholar]
  • 42.Briegel J, Möhnle P. [International guidelines from the Surviving Sepsis Campaign: 2016 update] Anaesthesist. 2017;66:530–538. doi: 10.1007/s00101-017-0299-z. [DOI] [PubMed] [Google Scholar]
  • 43.Bouchard J, Mehta RL. Fluid accumulation and acute kidney injury: consequence or cause. Curr Opin Crit Care. 2009;15:509–513. doi: 10.1097/MCC.0b013e328332f653. [DOI] [PubMed] [Google Scholar]

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