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Elevated effluent potassium concentrations predict the development of postreperfusion hyperkalemia in deceased liver transplantation: a retrospective cohort study

Abstract

Background

Postreperfusion hyperkalemia (PRHK) has garnered increasing attention in regard to deceased liver transplantation (LT), especially for LT using the expanded criteria donor grafts. However, the impact of the effluent potassium (eK+) concentration on PRHK has been largely overlooked. We evaluated whether elevated eK+ concentrations are associated with PRHK in deceased LT.

Methods

In this single-institution, retrospective cohort study, we included all adults who underwent deceased LT with intraoperative eK+ concentration monitoring between November 2016 and December 2018. The eK+ concentrations were obtained from the effluent samples collected following a standard portal vein flush. PRHK was defined as any serum potassium (sK+) level of > 5.5 mmol/L following reperfusion. Logistic regression was performed to identify predictors for PRHK, and linear regression was used to examine predictors of the maximum percentage increase in the sK+ level following reperfusion.

Results

Of the 86 patients who met the inclusion criteria, 54 (62.8%) developed PRHK. Independent predictors for PRHK included greater graft weight (OR 1.283 [95% CI 1.029–1.599] per 100 g, P = 0.027), an elevated eK+ concentration (OR 1.291 [95% CI 1.068–1.561] per mol/L, P = 0.008), and a higher sK+ level before reperfusion (OR 4.459 [95% CI 1.543–12.884] per mol/L, P = 0.006). An eK+ concentration of more than 6.9 mmol/L had a sensitivity of 59.26% and a specificity of 78.12% for predicting PRHK (area under the receiver operating characteristic curve, 0.694). Multiple linear regression analyses indicated that the eK+ and sK+ levels before reperfusion were significant predictors of the maximum percentage increase in the sK+ level following reperfusion. In addition, PRHK was associated with an increased risk of postreperfusion significant arrhythmias, severe postreperfusion syndrome, and postoperative early allograft dysfunction.

Conclusions

This study shows that the eK+ concentration could predict the risk of PRHK in deceased LT. Further prospective studies are warranted to clarify these associations.

Peer Review reports

Background

Postreperfusion hyperkalemia (PRHK) is a well-known and potentially life-threatening complication during liver transplantation (LT). PRHK may induce severe postreperfusion syndrome (PRS) [1], and its most serious consequence is cardiac arrest [1,2,3,4,5,6,7], which is associated with higher intraoperative mortality and poorer graft and patient survival after transplantation [4,5,6,7]. Therefore, identifying risk factors for PRHK, especially novel, modifiable predictors, may help clinicians develop targeted preventive strategies.

Several published studies have examined predictive risk factors for PRHK in adult LT. In 2000, Nakasuji and colleagues first demonstrated that the cardiac index, serum lactate levels, and serum potassium (sK+) levels during the anhepatic stage are independently associated with the peak sK+ levels immediately following reperfusion [8]. One large-sample study in 2007 by Xia et al. [9] found that intraoperative hyperkalemia occurred most frequently in the early reperfusion period, with higher baseline or prereperfusion sK+ levels and implantation of donation after cardiac death (DCD) liver grafts as the main contributing factors for PRHK during adult LT. Subsequently, researchers on the same team at the University of California, Los Angeles, determined that the storage age of transfused red blood cells (RBCs) was an independent risk factor for PRHK in adults undergoing LT [10]. More recently, an increasing number of studies have reported the link between the use of DCD, steatotic, and other expanded criteria donor (ECD) liver grafts and PRHK in deceased LT [11,12,13].

However, most of these predisposing factors are often unmodifiable, and the exact pathophysiological mechanism of PRHK caused by ECD liver grafts has not been fully elucidated. Given that effluent potassium (eK+) concentrations following a standard portal vein flush (PVF) are generally elevated during LT using ECD liver grafts [13, 14], we conducted this retrospective cohort study to assess the association between eK+ concentrations and the development of PRHK in adult patients undergoing deceased LT.

Methods

Patients

The study protocol was approved by the Institutional Review Board of Beijing Friendship Hospital (2020-P2-042–01). Informed consent was waived because of the retrospective nature of this study. This study is reported following Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines [15]. Eligible participants were adults who underwent deceased LT with intraoperative eK+ concentration monitoring at the Beijing Friendship Hospital between November 2016 and December 2018. Exclusion criteria were age < 18 years, hyperkalemia diagnosed prior to reperfusion, no sK+ level measurement at one minute following reperfusion (sK+1), and incomplete data.

Surgical technique and anesthesia protocol

The surgical procedures have been described in detail previously [14]. Briefly, liver grafts were implanted using the conventional caval replacement technique without venovenous bypass. Before reperfusion, the sequence of the vascular anastomosis was the suprahepatic vena cava, infrahepatic vena cava, and portal vein. Before the infrahepatic vena cava anastomosis was completed, the graft was rinsed with a 5% albumin solution to flush out the University of Wisconsin (UW) solution. The amount of 5% albumin solution used in our practice was one millilitre per gram of graft weight. Specifically, the eK+ concentrations were obtained from the effluent samples collected via the infrahepatic vena cava following standard PVF (Fig. 1) and were measured using a point-of-care blood gas analyzer.

Fig. 1
figure 1

Schematic representation of the sampling site for the eK+ measurements following a standard portal vein flush. eK+, effluent potassium concentration

Perioperative anesthetic care was carried out according to the standard of care at our institution [14]. During the study period, intraoperative sK+ levels were generally monitored by performing blood gas measurements at the following fixed time points: 1) before incision; 2) immediately before portal vein clamping; 3) immediately before reperfusion; 4) at one minute following reperfusion; 5) at 5 min following reperfusion; 6) at one hour following reperfusion; 7) at 2 h following reperfusion; and 8) at the end of the surgery. Notably, most blood samples were collected from the arterial lines except the blood sample one minute following reperfusion, which was collected from the pulmonary artery catheters.

Data collection

Our institutional database was used to collect baseline patient characteristics, intraoperative variables, and postoperative outcomes retrospectively.

  • Baseline patient characteristics included age, sex, weight, height, primary diagnosis, Child–Pugh score, and Model for End-Stage Liver Disease (MELD) score.

  • The intraoperative variables collected included graft weight, graft-to-recipient weight ratio (GRWR), cold ischemia time (CIT), warm ischemia time (WIT), inferior vena cava clamping time, duration of the anhepatic phase, prereperfusion amount of RBCs transfused, presence of an ECD liver graft (DCD donors, donor age of > 65 years, a sodium level of > 155 mmol/L, aspartate aminotransferase or alanine aminotransferase levels of > 100 IU/L, macrosteatosis > 30%, CIT > 16 h, and WIT > 90 min), the eK+ concentration, the prereperfusion sK+ (sK+0), sK+1, and sK+ levels at five minutes following reperfusion (sK+5), and incidences of postreperfusion significant arrhythmias, cardiac arrest, and severe PRS.

  • Data on postoperative outcomes, including re-operation and in-hospital death within the first 30 days post-LT, early allograft dysfunction (EAD), acute kidney injury (AKI), duration of mechanical ventilation, intensive care unit (ICU) admission, and length of hospital stay, were also collected.

Study outcomes

The primary outcome was the development of PRHK, defined as the sK+ levels during the postreperfusion period exceeding 5.5 mmol/L. Postreperfusion significant arrhythmias and severe PRS were defined according to the Peking criteria (Table 1) [16]. AKI was diagnosed according to the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines [17]. EAD was defined as meeting one or more of the following criteria: 1) aspartate aminotransferase or alanine aminotransferase levels > 2000 IU/L within the first seven days post-LT, 2) total bilirubin ≥ 10 mg/dL on postoperative day 7, or 3) an international normalized ratio ≥ 1.6 on postoperative day 7 [18].

Table 1 Peking criteria for the definition of severe postreperfusion syndrome in liver transplantation

Statistical analysis

The normality of the distribution of all continuous variables was assessed using the Kolmogorov–Smirnov test. Normally distributed variables were expressed as the mean ± standard deviation, and non-normally distributed variables were expressed as the median (interquartile range). Data were compared using the Student’s t-tests (normal distribution) or Mann–Whitney U tests (non-normal distribution). Categorical variables were described as the number and percentage of patients. Data were compared using the χ2 test or Fisher’s exact test. Univariate logistic regression analyses were used to screen factors associated with the occurrence of PRHK. Potentially significant factors, which had a P-value < 0.10 in univariate analyses, were further enrolled in a binary logistic regression model using a forward (conditional) stepwise procedure. Receiver operator characteristic (ROC) curve analysis was used to assess the predictive accuracy and optimal cut-off value of the eK+ concentration. The sensitivity, specificity, and positive and negative predictive values (PPV and NPV) were determined at the optimal cut-off points. In addition, a multiple linear regression model was used to identify independent predictors of the maximum percentage increase in the sK+ levels following reperfusion. All statistical tests were 2-sided, and a P-value < 0.05 was considered statistically significant. Statistical analyses were performed using SPSS for Windows software (version 22.0; IBM SPSS, Inc., Chicago, IL, USA) and MedCalc for Windows software (version 15.2; MedCalc Software, Ostend, Belgium).

Results

Patients

Of 147 adults who underwent deceased LT within the study period, we excluded 55 patients without sK+1 level measurements, five patients diagnosed with hyperkalemia during the anhepatic stage, and one patient with incomplete datasets, leaving 86 patients to be included in the analyses. The clinical characteristics of the study population are listed in Table 2. The average age of the study population was 49.6 ± 10.9 years, and the majority (68.6%) were male. The leading indication for LT was hepatitis B cirrhosis (50.0%). The median (interquartile range) MELD score was 15 (9–19) points. The mean graft weight was 1302.9 ± 270.5 g, and the mean sK+0 level was 4.17 ± 0.55 mmol/L. The median (interquartile range) eK+ concentration was 6.65 (5.38–9.73) mmol/L.

Table 2 Baseline characteristics of 86 liver transplantations (LTs)

Postreperfusion hyperkalemia

Fifty-four (62.8%) patients experienced PRHK (Table 2). Among the primary diagnoses, only hepatitis B cirrhosis was significantly different between PRHK and non-PRHK patients (22 of 54 vs. 21 of 32, 40.7% vs. 65.6%, P = 0.026). Patients who developed PRHK were more often transplanted with an ECD graft (13 of 54 vs. 1 of 32, 24.1% vs. 3.1%, P = 0.011). Liver grafts for patients developing PRHK had a higher graft weight (1362.7 ± 251.4 vs. 1201.9 ± 275.4 g, P = 0.007) and a larger GRWR (1.98 [1.79–2.45] vs. 1.63 [1.43–2.28] %, P = 0.045) compared to patients not developing PRHK. Patients who developed PRHK had a higher sK+0 level (4.27 ± 0.56 vs. 4.00 ± 0.49 mmol/L, P = 0.030) and a higher eK+ concentration (7.65 [5.68–12.20] vs. 5.90 [4.40–6.88] mmol/L, P = 0.003).

Predictors for postreperfusion hyperkalemia and the maximum percentage increase in the sK+ level following reperfusion

Table 3 shows an association between perioperative patient and graft variables and PRHK in patients who underwent deceased LT. After an analysis of the potentially significant predictors by multivariate logistic regression, the following three variables were independently associated with the presence of PRHK: graft weight (odds ratio [OR] 1.283; 95% confidence interval [CI] 1.029–1.599 per 100 g; P = 0.027), the eK+ concentration (OR 1.291; 95% CI 1.068–1.561 per mol/L; P = 0.008), and the sK+0 level (OR 4.459; 95% CI 1.543–12.884 per mol/L; P = 0.006). Based on the areas under the ROC curves (AUROCs), the eK+ concentration had the best predictive ability for the presence of PRHK (AUROC, 0.694), followed by graft weight (AUROC, 0.645) and the sK+0 level (AUROC, 0.640) (Fig. 2). Table 4 shows the sensitivity, specificity, PPV, NPV, and diagnostic accuracy at the cut-off point that provides the best Youden index for each variable. The best cut-off point for the eK+ concentration was more than 6.9 mmol/L, with a sensitivity of 59.26%, specificity of 78.12%, PPV of 82.05%, and NPV of 53.19%. In addition, multiple linear regression was performed to predict the maximum percentage increase in the sK+ level following reperfusion based on graft weight, GRWR, prereperfusion amount of RBCs transfused, the sK+0 level, the eK+ concentration, and the presence of an ECD graft. A significant regression equation was found (F = 10.832, P < 0.001), with an R2 of 0.672 (Table 5). The eK+ and sK+0 levels were significant predictors of the maximum percentage increase in the sK+ level following reperfusion.

Table 3 Logistic regression analysis of predictors for postreperfusion hyperkalemia in 86 consecutive deceased liver transplantation recipients
Fig. 2
figure 2

ROC curve analysis to predict the occurrence of postreperfusion hyperkalemia in 86 consecutive deceased liver transplant recipients. eK+, effluent potassium concentration; sK+0, serum potassium concentration before reperfusion; ROC, receiver operating characteristic

Table 4 Prediction of postreperfusion hyperkalemia in 86 consecutive deceased liver transplantation recipients
Table 5 Linear regression analysis of predictors for the maximum percentage increase in postreperfusion serum potassium concentration

Postreperfusion hyperkalemia and associated outcomes

Patients with PRHK had higher sK+1 (6.36 ± 0.57 vs. 4.77 ± 0.39 mmol/L, P < 0.001) and sK+5 (4.20 ± 0.96 vs. 3.36 ± 0.46 mmol/L, P < 0.001) levels, and therefore suffered more often from postreperfusion significant arrhythmias (36/54 vs. 6/32, 66.7% vs. 18.8%; P < 0.001) and severe PRS (43/54 vs. 18/32, 79.6% vs. 56.3%; P = 0.021). The occurrence of cardiac arrest after reperfusion did not differ between patients with and without PRHK. Furthermore, patients with PRHK suffered more often from postoperative EAD (32/54 vs. 5/32, 59.3% vs. 15.6%; P < 0.001). There were no significant differences for the other outcomes, including ventilation time, ICU and hospital stay lengths, AKI incidence, in-hospital mortality, and re-operation rate (Table 6).

Table 6 Comparison of postreperfusion and postoperative outcomes in patients with and without postreperfusion hyperkalemia

Discussion

Elevated sK+ concentrations and PRHK are generally anticipated during deceased LT, especially following reperfusion of ECD liver grafts. However, little or no information is found in the literature concerning the roles of effluent fluid compositions in PRHK development. The most important finding of this study was that an elevated eK+ concentration was another modifiable yet potentially ignored risk factor for PRHK in deceased LT, together with the prereperfusion sK+ level and a large graft weight. These findings may be of significant clinical importance for PRHK prevention in deceased LT.

PRHK is associated with several intraoperative and postoperative complications, including but not limited to PRS, cardiac arrest, intraoperative death, and postoperative mortality [1,2,3,4,5,6,7]. Risk identification for PRHK is challenging, yet its prediction is the target of several investigations. In accordance with the present results, previous studies have demonstrated that the baseline or prereperfusion sK+ level was the most common modifiable factor associated with PRHK during deceased LT [8,9,10]. Thus, the recommendation is that when possible, greater attention and special efforts should be devoted to maintaining a relatively low sK+ level (less than 3.5, 4.0, or 4.5 mmol/L) prior to graft reperfusion to reduce PRHK and PRS risks [2, 9, 11, 19, 20]. Recently, Weinberg and colleagues reported that a sK+ level of at least 4.45 mmol/L before reperfusion is associated with PRHK [21]. In contrast, the present study had substantially more patients and demonstrated that a prereperfusion sK+ level greater than 4.1 mmol/L is an independent predictor of PRHK. The observed difference in the optimal cut-off point of the sK+1 level for PRHK might be attributed to center-specific differences among patient and graft characteristics.

In addition to sK+ levels, other predictive risk factors, such as transfusion of banked RBCs [9], metabolic acidosis during the anhepatic stage [8], and the use of ECD grafts [11,12,13], contribute to the development of PRHK in deceased LT. Recently, considerable attention has been focused on the relationship between graft quality and PRHK. Xia and coworkers first showed that the use of DCD grafts was independently associated with PRHK in adult LT [8]. Another study conducted by the same team confirmed that when the comparison was made with a propensity score-matched cohort of donation after brain death (DBD) grafts, DCD grafts had an increased incidence of PRHK in deceased LT [12]. Another investigation performed by Zhang et al. showed that the macrosteatotic DCD graft liver is an independent risk factor for PRHK [11]. Similar to previous reports, the present study demonstrated that the graft-dependent predictors of PRHK are graft weight and the eK+ concentration before reperfusion. However, a recent study showed that intraoperative PRHK did not differ between the DCD and matched DBD groups [22]. Although the authors attributed these differences to the strict criteria used for selecting liver grafts and patients, we speculate that the lack of sK+ level measurements during the immediate reperfusion period, which usually peaked at 30 s to one minute following reperfusion, might have affected the outcomes.

The most likely reason for the difference in the eK+ concentration following standard PVF is the variation in severity of hepatic ischemia–reperfusion injury (IRI) [11, 25] rather than the effect of hyperkalemic UW solution [23, 24]. The excess potassium ions in the effluent fluid may come from 1) the release of potassium from necrotic hepatocytes; 2) the passive efflux of potassium due to reduced sodium–potassium ATPase activity; or 3) the shift of potassium from hepatocytes after the exchange of hydrogen for potassium ions. Theoretically, the total amount of serum potassium is primarily determined by the patient's baseline sK+ level, while the abrupt release of hyperkalemic substances from the grafted liver, roughly quantified by the product of the eK+ concentration and the graft weight, may lead to the rise in the sK+ levels and the occurrence of PRHK during the immediate reperfusion period. The hypothesis above has been reversely verified in a previous study. Burlage and colleagues found that hypothermic machine perfusion, compared to traditional static cold storage, could attenuate hepatic IRI and result in a decline in sK+ levels or even hypokalemia following reperfusion in deceased LT [26]. An increase in perfusate potassium level, which served as an indicator similar to the eK+ concentration, was significantly correlated with more severe hepatic IRI.

To our knowledge, this is the first study to assess the association between hyperkalemic substances in effluent fluid and PRHK in a large LT center where ECD liver grafts are frequently encountered. Indeed, in this study, we demonstrated that the eK+ concentration, a simple indicator that can be obtained quickly by point-of-care blood gas analysis, was a predictive risk factor for PRHK during deceased LT. There is no standard prevention strategy for PRHK caused by a higher eK+ concentration or ECD liver grafts due to the lack of prospective studies. Based on our more than five years of experience, the following preventive measures can be considered: 1) the sK+ levels should be strictly controlled below 4.0 mmol/L; 2) graft flushing techniques, including advanced PVF with excessive flush volume [13, 24], retrograde venting via the inferior vena cava [13, 27,28,29], and anterograde venting via the portal vein [13, 30], can be performed to reduce the eK+ concentrations before reperfusion; 3) portal vein speed-control reperfusion strategy [31] should be adopted to control the timing, severity, and duration of PRHK; and 4) aggressive preemptive therapies, such as calcium chloride, epinephrine, sodium bicarbonate, and atropine, should be initiated upon reperfusion.

Several limitations are worth acknowledging. First, the retrospective, single-center design limits the study’s generalizability and may generate inevitable selection bias. Second, due to the lack of real-time, continuous monitoring methods, the sK+1 level was generally regarded as the peak sK+ level following reperfusion, which may underestimate the actual incidence of PRHK. Third, although multivariate analyses have demonstrated the association between the eK+ concentrations and PRHK, the exact mechanism of action of eK+ in PRHK remains to be fully elucidated. Fourth, the effectiveness of existing intervention strategies for PRHK remains unclear; therefore, further studies are warranted to address this issue definitively.

Conclusions

A high eK+ concentration before reperfusion was a significant predictor of PRHK and the maximum percentage increase in the sK+ level following reperfusion in deceased LT. Further research is needed to evaluate whether proactive interventions can reduce the risk of PRHK during LT from a high eK+ concentration or ECD liver grafts.

Availability of data and materials

The datasets generated and/or analysed during the current study are not publicly available due to confidentiality policies but are available from the corresponding author on reasonable request.

Abbreviations

AKI:

Acute kidney injury

AUROC:

Area under the receiver operating characteristic curve

CI:

Confidence interval

CIT:

Cold ischemia time

DBD:

Donation after brain death

DCD:

Donation after cardiac death

EAD:

Early allograft dysfunction

ECD:

Expanded criteria donor

eK+ :

Effluent potassium

GRWR:

Graft-to-recipient weight ratio

ICU:

Intensive care unit

IRI:

Ischemia-reperfusion injury

KDIGO:

Kidney Disease Improving Global Outcomes

LT:

Liver transplantation

MELD:

Model for End-Stage Liver Disease

NPV:

Negative predictive value

OR:

Odds ratio

PPV:

Positive predictive value

PRHK:

Postreperfusion hyperkalemia

PRS:

Postreperfusion syndrome

PVF:

Portal vein flush

RBCs:

Red blood cells

ROC:

Receiver operator characteristic

sK+ :

Serum potassium

UW:

University of Wisconsin

WIT:

Warm ischemia time

References

  1. Perkins JD. Hyperkalemia and liver transplantation. Liver Transpl. 2008;14(2):252–3.

    Article  Google Scholar 

  2. Shangraw RE. Metabolic issues in liver transplantation. Int Anesthesiol Clin. 2006;44(3):1–20.

    Article  Google Scholar 

  3. Nguyen D, Gurvitz-Gambrel S, Sloan PA, Dority JS, DiLorenzo A, Hassan ZU, et al. The impact of exposure to liver transplantation anesthesia on the ability to treat intraoperative hyperkalemia: a simulation experience. Int Surg. 2015;100(4):672–7.

    Article  Google Scholar 

  4. Matsusaki T, Hilmi IA, Planinsic RM, Humar A, Sakai T. Cardiac arrest during adult liver transplantation: a single institution’s experience with 1238 deceased donor transplants. Liver Transpl. 2013;19(11):1262–71.

    Article  Google Scholar 

  5. Aufhauser DD Jr, Rose T, Levine M, Barnett R, Ochroch EA, Aukburg S, et al. Cardiac arrest associated with reperfusion of the liver during transplantation: incidence and proposal for a management algorithm. Clin Transplant. 2013;27(2):185–92.

    Article  Google Scholar 

  6. Lee SH, Gwak MS, Choi SJ, Shin YH, Ko JS, Kim GS, et al. Intra-operative cardiac arrests during liver transplantation - a retrospective review of the first 15 yr in Asian population. Clin Transplant. 2013;27(2):E126–36.

    Article  Google Scholar 

  7. Shi XY, Xu ZD, Xu HT, Jiang JJ, Liu G. Cardiac arrest after graft reperfusion during liver transplantation. Hepatobiliary Pancreat Dis Int. 2006;5(2):185–9.

    PubMed  Google Scholar 

  8. Nakasuji M, Bookallil MJ. Pathophysiological mechanisms of postreperfusion hyperkalemia in orthotopic liver transplantation. Anesth Analg. 2000;91(6):1351–5.

    CAS  Article  Google Scholar 

  9. Xia VW, Ghobrial RM, Du B, Chen T, Hu KQ, Hiatt JR, et al. Predictors of hyperkalemia in the prereperfusion, early postreperfusion, and late postreperfusion periods during adult liver transplantation. Anesth Analg. 2007;105(3):780–5.

    Article  Google Scholar 

  10. Chen J, Singhapricha T, Memarzadeh M, Ziman A, Yuan S, Hu KQ, et al. Storage age of transfused red blood cells during liver transplantation and its intraoperative and postoperative effects. World J Surg. 2012;36(10):2436–42.

    Article  Google Scholar 

  11. Zhang WJ, Xia WL, Pan HY, Zheng SS. Postreperfusion hyperkalemia in liver transplantation using donation after cardiac death grafts with pathological changes. Hepatobiliary Pancreat Dis Int. 2016;15(5):487–92.

    Article  Google Scholar 

  12. Pan X, Apinyachon W, Xia W, Hong JC, Busuttil RW, Steadman RH, et al. Perioperative complications in liver transplantation using donation after cardiac death grafts: a propensity-matched study. Liver Transpl. 2014;20(7):823–30.

    Article  Google Scholar 

  13. Zhang L, Tian M, Wei L, Zhu Z. Expanded Criteria Donor-Related Hyperkalemia and Postreperfusion Cardiac Arrest During Liver Transplantation: A Case Report and Literature Review. Ann Transplant. 2018;23:450–6.

    CAS  Article  Google Scholar 

  14. Zhang L, Tian M, Sun L, Zhu Z. Association Between Flushed Fluid Potassium Concentration and Severe Postreperfusion Syndrome in Deceased Donor Liver Transplantation. Med Sci Monit. 2017;23:5158–67.

    Article  Google Scholar 

  15. von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Prev Med. 2007;45:247–51.

    Article  Google Scholar 

  16. Zhang L, Tian M, Xue F, Zhu Z. Diagnosis, Incidence, Predictors and Management of Postreperfusion Syndrome in Pediatric Deceased Donor Liver Transplantation: A Single-Center Study. Ann Transplant. 2018;23:334–44.

    CAS  Article  Google Scholar 

  17. Kellum JA, Lameire N. Diagnosis, evaluation, and management of acute kidney injury: a KDIGO summary (Part 1). Crit Care (London England). 2013;17(1):204.

    Article  Google Scholar 

  18. Olthoff KM, Kulik L, Samstein B, Kaminski M, Abecassis M, Emond J, et al. Validation of a current definition of early allograft dysfunction in liver transplant recipients and analysis of risk factors. Liver Transpl. 2010;16(8):943–9.

    Article  Google Scholar 

  19. Jeong SM. Postreperfusion syndrome during liver transplantation. Korean J Anesthesiol. 2015;68:527–39.

    CAS  Article  Google Scholar 

  20. Manning MW, Kumar PA, Maheshwari K, Arora H. Post-Reperfusion Syndrome in Liver Transplantation-An Overview. J Cardiothorac Vasc Anesth. 2020;34:501–11.

    Article  Google Scholar 

  21. Weinberg L, Lee DK, Koshy AN, Leong KW, Tosif S, Shaylor R, et al. Potassium levels after liver reperfusion in adult patients undergoing cadaveric liver transplantation: A retrospective cohort study. Ann Med Surg (Lond). 2020;55:111–8.

    Article  Google Scholar 

  22. Chadha RM, Croome KP, Aniskevich S, Pai SL, Nguyen J, Burns J, et al. Intraoperative Events in Liver Transplantation Using Donation After Circulatory Death Donors. Liver Transpl. 2019;25(12):1833–40.

    Article  Google Scholar 

  23. Juang SE, Huang HW, Kao CW, Chen CL, Lu HF, Cheng KW, et al. Effect of university of wisconsin and histidine-tryptophan-ketoglutarate preservation solutions on blood potassium levels of patients undergoing living-donor liver transplantation. Transplant Proc. 2012;44(2):366–8.

    CAS  Article  Google Scholar 

  24. Homvises B, Sirivatanauksorn Y, Limsrichamrern S, Pongraweewan O, Sujirattanawimol K, Raksakietisak M. The minimal flush volume for washout of preservation fluid in liver transplantation. Transplant Proc. 2008;40(7):2123–6.

    CAS  Article  Google Scholar 

  25. Patrono D, Romagnoli R. Postreperfusion syndrome, hyperkalemia and machine perfusion in liver transplantation. Transl Gastroenterol Hepatol. 2019;4:68.

    Article  Google Scholar 

  26. Burlage LC, Hessels L, van Rijn R, Matton APM, Fujiyoshi M, van den Berg AP, et al. Opposite acute potassium and sodium shifts during transplantation of hypothermic machine perfused donor livers. Am J Transplant. 2019;19(4):1061–71.

    CAS  Article  Google Scholar 

  27. Fukazawa K, Nishida S, Hibi T, Pretto EA Jr. Crystalloid flush with backward unclamping may decrease post-reperfusion cardiac arrest and improve shortterm graft function when compared to portal blood flush with forward unclamping during liver transplantation. Clin Transplant. 2013;27(4):492–502.

    Article  Google Scholar 

  28. Daniela K, Michael Z, Florian I, Silvia S, Estrella J, Doris D, et al. Influence of retrograde flushing via the caval vein on the post-reperfusion syndrome in liver transplantation. Clin Transplant. 2004;18(6):638–41.

    Article  Google Scholar 

  29. Kniepeiss D, Iberer F, Grasser B, Schaffellner S, Stadlbauer V, Tscheliessnigg KH. A single-center experience with retrograde reperfusion in liver transplantation. Transpl Int. 2003;16(10):730–5.

    PubMed  Google Scholar 

  30. Gruttadauria S, Cintorino D, Musumeci A, Arcadipane A, Burgio G, Clarizia S, et al. Comparison of two different techniques of reperfusion in adult orthotopic liver transplantation. Clin Transplant. 2006;20(2):159–62.

    Article  Google Scholar 

  31. Fiegel M, Cheng S, Zimmerman M, Seres T, Weitzel NS. Postreperfusion syndrome during liver transplantation. Semin Cardiothorac Vasc Anesth. 2012;16(2):106–13.

    Article  Google Scholar 

Download references

Acknowledgements

The authors wish to thank Dr. Na Zeng from the Methodology Platform of the National Clinical Research Center for Digestive Diseases for the help with data analysis.

Funding

This study was supported by a research grant of Beijing Friendship Hospital (No.YYQDKT 2018–12).

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Authors

Contributions

LZ and FSX designed the study, wrote the manuscript, and analyzed and interpreted the data. LZ collected the data. FSX, MT, and ZJZ provided critical comments. All authors revised the manuscript critically for important intellectual content. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Liang Zhang or Zhi-Jun Zhu.

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The Institutional Review Board of Beijing Friendship Hospital, Capital Medical University, reviewed and approved this retrospective study (No.2020-P2-043–02). Informed consent was waived by The Institutional Review Board of Beijing Friendship Hospital, Capital Medical University because of the retrospective study design. This study is reported in accordance with Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.

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The authors declare that they have no competing interests.

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Zhang, L., Xue, FS., Tian, M. et al. Elevated effluent potassium concentrations predict the development of postreperfusion hyperkalemia in deceased liver transplantation: a retrospective cohort study. BMC Anesthesiol 22, 161 (2022). https://doi.org/10.1186/s12871-022-01699-1

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  • DOI: https://doi.org/10.1186/s12871-022-01699-1

Keywords

  • Hyperkalemia
  • Potassium
  • Effluent
  • Liver transplantation
  • Reperfusion