Codes L, Souza YG, D’Oliveira RAC, Bastos JLA, Bittencourt PL. Cumulative positive fluid balance is a risk factor for acute kidney injury and requirement for renal replacement therapy after liver transplantation. World J Transplant 2018; 8(2): 44-51 [PMID: 29696105 DOI: 10.5500/wjt.v8.i2.44]
Corresponding Author of This Article
Dr. Liana Codes, MD, PhD, Unit of Gastroenterology and Hepatology, Portuguese Hospital of Salvador, Av. Princesa Isabel, 914, Bahia 40140-901, Brazil. liana.foulon@hportugues.com.br
Research Domain of This Article
Transplantation
Article-Type of This Article
Observational Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Liana Codes, Ygor Gomes de Souza, Ricardo Azevedo Cruz D’Oliveira, Paulo Lisboa Bittencourt, 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
Author contributions: Codes L, de Souza YG and Bittencourt PL contributed to study conception and design, and writing of article; Codes L, de Souza YG, D’Oliveira RAC, Bastos JLA contributed to data acquisition, data analysis and interpretation; Codes L, D’Oliveira RAC and Bittencourt PL contributed to editing, reviewing and final approval of article.
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.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Dr. Liana Codes, MD, PhD, Unit of Gastroenterology and Hepatology, Portuguese Hospital of Salvador, Av. Princesa Isabel, 914, Bahia 40140-901, Brazil. liana.foulon@hportugues.com.br
Telephone: +55-71-32035375 Fax: +55-71-32033456
Received: February 19, 2018 Peer-review started: February 19, 2018 First decision: March 7, 2018 Revised: March 12, 2018 Accepted: April 1, 2018 Article in press: April 1, 2018 Published online: April 24, 2018 Processing time: 63 Days and 15.3 Hours
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.
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.
Citation: Codes L, Souza YG, D’Oliveira RAC, Bastos JLA, Bittencourt PL. Cumulative positive fluid balance is a risk factor for acute kidney injury and requirement for renal replacement therapy after liver transplantation. World J Transplant 2018; 8(2): 44-51
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
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%)
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
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
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
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
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
Manuscript source: Invited manuscript
Specialty type: Transplantation
Country of origin: Brazil
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Holte K, Sharrock NE, Kehlet H. Pathophysiology and clinical implications of perioperative fluid excess.Br J Anaesth. 2002;89:622-632.
[PubMed] [DOI][Cited in This Article: ]
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.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 154][Cited by in F6Publishing: 209][Article Influence: 29.9][Reference Citation Analysis (0)]
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.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 87][Cited by in F6Publishing: 75][Article Influence: 5.0][Reference Citation Analysis (0)]
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.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 143][Cited by in F6Publishing: 169][Article Influence: 14.1][Reference Citation Analysis (0)]
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.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 276][Cited by in F6Publishing: 300][Article Influence: 21.4][Reference Citation Analysis (0)]
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.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 702][Cited by in F6Publishing: 681][Article Influence: 45.4][Reference Citation Analysis (0)]
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.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 28][Cited by in F6Publishing: 33][Article Influence: 4.7][Reference Citation Analysis (0)]
Voldby AW, Brandstrup B. Fluid therapy in the perioperative setting-a clinical review.J Intensive Care. 2016;4:27.
[PubMed] [DOI][Cited in This Article: ]
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.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 101][Cited by in F6Publishing: 98][Article Influence: 7.5][Reference Citation Analysis (0)]
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.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 93][Cited by in F6Publishing: 95][Article Influence: 11.9][Reference Citation Analysis (0)]
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] [DOI][Cited in This Article: ]
Foster AC, Roberts PJ. Biochemical and morphological aspects of kainic acid injection into rat cerebellum [proceedings].Br J Pharmacol. 1979;66:117P-118P.
[PubMed] [DOI][Cited in This Article: ]
Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system.Crit Care Med. 1985;13:818-829.
[PubMed] [DOI][Cited in This Article: ]