Next Article in Journal
Serum Nardilysin as a Prognostic Biomarker in Pancreatic Ductal Adenocarcinoma
Previous Article in Journal
Parity-Adjusted Term Neonatal Growth Chart Modifies Neonatal Morbidity and Mortality Risk Stratification
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Excess Risk of Major Adverse Cardiovascular and Kidney Events after Acute Kidney Injury following Living Donor Liver Transplantation

1
Liver Transplantation Center, Department of Surgery, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan
2
Liver Transplantation Center, Department of Internal Medicine, Division of Nephrology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(11), 3100; https://doi.org/10.3390/jcm11113100
Submission received: 19 April 2022 / Revised: 26 May 2022 / Accepted: 29 May 2022 / Published: 30 May 2022
(This article belongs to the Topic Liver Fibrosis and Cirrhosis)

Abstract

:
Acute kidney injury (AKI) is a well-known risk factor for major adverse kidney events (MAKE) and major adverse cardiovascular events (MACE) in nontransplant settings. However, the association between AKI after liver transplantation (LT) and MACE/MAKE is not established. A retrospective cohort analysis including 512 LT recipients was conducted. The incidence of post-LT AKI was 35.0% (n = 179). In total, 13 patients (2.5%) developed de novo coronary artery disease (CAD), 3 patients (0.6%) diagnosed with heart failure (HF), and 11 patients (2.1%) had stroke. The post-LT AKI group showed a higher incidence of CAD and HF than the no post-LT AKI group (4.5% versus 1.5%, p = 0.042; 1.7% versus 0%, p = 0.018; respectively), while there was no significant difference in the stroke events (2.8% versus 1.8%, p = 0.461). Through Cox regression analysis, history of cardiovascular disease (HR 6.51, 95% CI 2.43–17.46), post-LT AKI (HR 3.06, 95% CI 1.39–6.75), and pre-LT diabetes (HR 2.37, 95% CI 1.09–5.17) were identified as independent predictors of MACE; pre-LT chronic kidney disease (HR 9.54, 95% CI 3.49–26.10), pre-LT diabetes (HR 3.51, 95% CI 1.25–9.86), and post-LT AKI (HR 6.76, 95% CI 2.19–20.91) were risk factors for end-stage renal disease. Post-LT AKI is predictive for the development of MACE and MAKE.

1. Introduction

With the rapid progress and development in the field of liver transplantation (LT), short-term and long-term graft outcomes have continued to improve; nonetheless, five-year mortality rates amongst LT recipients remain relatively high at 25 to 30% [1]. The main causes of patient mortality include infections and recurrent disease; these commonly present early after LT. Conversely, malignancy, cardiovascular disease (CVD), and renal failure typically develop gradually over time [2,3], highlighting the importance of long-term postoperative care. In addition, there is growing evidence indicating that major adverse cardiovascular events (MACE) and major adverse kidney events (MAKE) not only increase the healthcare burden with higher rates of re-hospitalization and healthcare utilization [4,5], but also pose a negative impact on patient survival [3,6].
Several risk factors have been recognized to be associated with the development of MACE and MAKE irrespective of surgical procedure [7,8,9]. In nontransplant populations, postoperative acute kidney injury (AKI) has been observed to be a risk factor for both MACE and MAKE [7,8,9]. Large epidemiological cohort studies reported that AKI survivors are at increased risk of kidney and cardiovascular dysfunction in the short-term and long-term follow-up [7,10,11]. In addition, the incidence of post-LT AKI remained high and might exceed 50% in some series [12,13], depending on the definitions used. Even patients who merely experience a brief period of postoperative AKI have thus far shown poor recipient and graft outcomes [14].
Although renal complications in LT survivors with AKI are well recognized, such as prolonged hospital length of stay and higher rates of CKD and end-stage renal disease (ESRD), it remains unclear whether AKI confers an additional detrimental risk of MACE after living donor LT (LDLT) [9,15]. This retrospective study was therefore performed with the aim of examining the long-term cardiovascular and renal outcomes in recipients who sustain AKI after liver transplantation.

2. Materials and Methods

2.1. Population

We retrospectively reviewed all patients who underwent LDLT between January 2009 and December 2013 in Kaohsiung Chang Gung Memorial Hospital, Taiwan. Patients who were older than 20 years were included, and 527 patients were enrolled. Patients who were referred to other hospitals overseas after transplantation (n = 7) or lost to follow-up (n = 4) and those who died within the first 72 h after LT (n = 4), were excluded, thus leaving 512 patients for the final analysis. The demographics, diagnoses, and pre- and perioperative parameters of the recipients are described in Table 1.

2.2. Definition

The Kidney Disease Improving Global Outcomes (KDIGO) classified AKI into three stages according to the increase of serum creatinine (Scr) [16]: stage 1 referred to an increase in Scr ≥ 0.3 mg/dL within 48 h or 1.5–1.9 times baseline within 7 days, stage 2 referred to an increase in Scr of 2.0–2.9 times baseline within 7 days, stage 3 referred to an increase in Scr of >3.0 times baseline or ≥4.0 mg/dL, with an acute increase of at least 0.5 mg/dL, or the need for renal replacement therapy within 7 days. Urine output was not recorded in this study and was not included in the classification of AKI. Post-LT AKI is based on changes in serum creatinine from baseline creatinine within the first week after transplantation [17]. Chronic kidney disease (CKD) was defined as having an estimated glomerular filtration rate (eGFR) < 60 mL/min per 1.73 m2 using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation for three consecutive months [18]. Coronary artery disease (CAD) was defined as any degree of stenosis in any of the coronary arteries, determined by visual inspection using coronary angiography [19]. Heart failure (HF) was defined as a patient with symptoms of cardiac failure and at least one echocardiographic abnormality [20]. MACE included cardiovascular death, myocardial infarction, coronary revascularization, heart failure, new atrial fibrillation, cardiac arrest, or pulmonary embolism [21]. In this study, we used CAD to include myocardial infarction and coronary revascularization. MAKE was defined as a composite of CKD and ESRD [22]. Additionally, patients with pre-LT CKD were categorized as MAKE when their eGFR dropped more than 25% from baseline [22].

2.3. Study Information

The demographics of the recipients, along with preoperative, operative, and postoperative variables, were collected. Demographic information included the following: age and sex of the recipients, underlying etiology of liver disease, and diagnosis of hepatocellular carcinoma (HCC). Preoperative clinical variables included the following: past medical history of diabetes mellitus (DM), hypertension (HTN), CKD, history of CVD including CAD or stroke, Model of End-stage Liver Disease (MELD) score, recipient body mass index (BMI), liver function, Scr level, and the estimated glomerular filtration rate (eGFR) before LT. Perioperative data collected included the following: blood loss during transplantation and estimated graft recipient weight ratio (GRWR). Postoperative data included daily Scr measurements up to one week after LT, which was used to define post-LT AKI.
The primary outcome of this study was the probability of developing MACE and MAKE in patients who had post-LT AKI. The secondary outcome was the all-cause mortality rate after LDLT with increasing stages of post-LT AKI. This study was approved by the Institutional Review Board (No. 201801436B0). The need for informed consent from patients was waived because of the retrospective design of the study.

2.4. Preoperative Cardiovascular Risk Stratification

As part of our evaluation protocol, EKG and echocardiography procedures were conducted before LDLT. A thallium scan was conducted for LT candidates over 40-years-old, with an existing history of CAD, or abnormal cardiac exam. Specialized cardiologists assessed the perioperative cardiovascular risk for every patient. In moderate- to high-risk patients, percutaneous coronary intervention (PCI) was done. As per protocol, transplant surgery was postponed for at least four weeks in patients who underwent PCI stenting followed by dual antiplatelet therapy. Patients diagnosed with HF or intractable CAD (multiple small coronary arteries, precluding intervention) were advised against undergoing LT. Recipients with a history of stroke were assessed with brain MRI and carotid duplex scan and referred to a specialized neurologist for stroke risk stratification.

2.5. Immunosuppression, Postoperative Care, and Surveillance for Post-LT AKI

The standard immunosuppression protocol after LDLT involved intravenous (IV) basiliximab (Simulect; Novartis Pharma AG, Basel, Switzerland) on post-LT Days 1 and 4. Steroid therapy consisted of intraoperative methylprednisolone (500 mg/IV) bolus dose, titrated to 20 mg/day, which was then switched to prednisolone 20 mg/tablet/day once the oral intake was tolerated. The steroid dose was gradually tapered and discontinued over 3 months if no acute cellular rejection developed. Tacrolimus combined with mycophenolate mofetil (MMF) and corticosteroids was given to all patients as initial immunosuppression therapy. The oral dose of tacrolimus was adjusted daily to achieve a target trough level of 8–10 ng/mL during the first two weeks following surgery, and then 5–8 ng/mL thereafter. Some patients with advanced HCC, or patients who were noted to develop post-LT AKI were converted to a mammalian target of rapamycin (mTOR) inhibitor.
After LT, all recipients stayed in the intensive care unit for two weeks to closely monitor volume status and renal function. To prevent AKI, albumin replacement, fluid infusion therapy, and diuretics were administered. They were followed up every one to three months after discharge until the end of the study date (31 December 2021) or the date of death. At the outpatient clinic, patients were closely monitored for their hepatic and renal function, and any symptoms or signs of developing MAKE and MACE. The mean follow-up duration was 9.3 ± 2.9 years.

2.6. Statistical Analysis

Numerical data are expressed as the mean (standard deviation) and were compared using independent t-tests. Categorical data are expressed as rates or proportions and were compared using the chi-square test. Cox regression analysis was used to evaluate the relationship between AKI and the time to occurrence of MACE, ESRD, and death. Variables with p values less than 0.2 were considered significant in the univariate analysis and were included in the multivariate analysis. The estimated probability of MACE or ESRD events was analyzed and graphed using the Kaplan–Meier method, and groups were compared using the log-rank test. Results were considered significant if the p-value was <0.05. Statistical analysis was performed using SPSS software v.20 (SPSS, Chicago, IL, USA).

3. Results

3.1. Population Characteristics

The study population included 512 LDLT recipients. A total of 179 patients (35.0%) developed post-LT AKI after LDLT, while no AKI was evident in 333 patients (65.0%). Among patients who had post-LT AKI, 135 patients (75.4%) were classified as stage 1 AKI; 36 patients (20.1%), as stage 2 AKI; and 8 patients (4.5%), as stage 3 AKI. The demographic, clinical, and pre- and peri-operative variables, as well as the results of a comparison between both study groups, are shown in Table 1.
All recipients were initiated to tacrolimus immediately after LDLT, and as expected, a significantly larger proportion of recipients who developed post-LT AKI were also subsequently started on mTOR inhibitors compared to patients without post-LT AKI (81.6% vs. 61.0%, p < 0.001). There were 26 patients (5.1%) with CKD and 19 patients (3.7%) with CVD in this cohort before transplantation (Table 1). However, there was no significant difference in the occurrence of post-LT AKI in patients with a history of CKD or CVD.

3.2. Major Adverse Cardiac Events

During the mean follow-up of 9.3 ± 2.9 years, 26 (5.3%) patients were diagnosed with MACE, including de novo CAD, HF, and stroke, as listed in Table 2. No case of new-onset atrial fibrillation, pulmonary embolism, or unknown cardiac arrest was documented. Compared with the no post-LT AKI group, the AKI group had a higher rate of de novo CAD (4.5% vs. 1.5%; p = 0.02) and HF (1.7% vs. 0%; p = 0.018). However, there was no difference in the incidence of stroke between the two groups (2.8% vs. 1.8%; p = 0.461). Three patients had new-onset HF, and all expired because of severe cardiac dysfunction. Classifying the etiology of HF, one case was ischemia type due to triple vessel CAD, and another two cases were mitral valve regurgitation related.
The likelihood of patients developing MACE after post-LT AKI was 2.3% at year 2, 6.2% at year 5, and 9.0% at year 10 after transplantation. The corresponding likelihoods for patients without AKI were 0.9%, 1.2% and 3.2%, respectively, by using the Kaplan–Meier method (Figure 1). In univariable analysis, older age (hazard ratio [HR] 1.06, 95% CI 1.00–1.13, p = 0.047), history of CVD (HR 6.85, 95% CI 2.58–18.18, p < 0.001), post-LT AKI (HR 3.07, 95% CI 1.41–6.72, p = 0.005), pre-LT DM (HR 2.62, 95% CI 1.23–5.78, p = 0.013), post-LT CKD (HR 3.74, 95% CI 1.67–8.39, p = 0.001) and ESRD (HR 6.08, 95% CI 2.09–17.67, p = 0.001) were associated with the development of MACE. In the multivariable analysis, however, history of CVD (HR 6.51, 95% CI 2.43–17.46, p < 0.001), post-LT AKI (HR 3.06, 95% CI 1.39–6.75, p = 0.006), and pre-LT DM (HR 2.37, 95% CI 1.07–5.17, p = 0.030) were significant predictors of MACE (Table 3).

3.3. Major Adverse Kidney Events

As shown in Table 2, the overall prevalence of CKD was 28.3% (145/512) in our cohort. The incidence of CKD was higher in the post-LT AKI group compared with no post-LT AKI group, either at three months after LT or at the end of follow-up (22.3% vs. 6.3%, p < 0.001; 44.1% vs. 19.8%, p < 0.001; respectively).
Eighteen (3.5%) patients were newly diagnosed with ESRD after the liver transplant surgery and needed dialysis therapy or renal transplantation. The likelihood of developing ESRD after post-LT AKI was 2.3% at year 2, 3.7% at year 5, and 10.0% at year 10 after LT. The corresponding likelihoods for patients without post-LT AKI were 0.0%, 0.8%, and 1.3%, respectively (Figure 2A). Considering patients with both pre-LT CKD and post-LT AKI, the likelihood of progression to ESRD was 25% at 2 years, 35% at 5 years, and 44% at 10 years after LT. The corresponding likelihood were 0, 0, and 16.7% for those with pre-LT CKD only; 0.6%, 1.4%, and 7.0% for those with post-LT AKI only; and 0, 0.3%, and 0.7% for those with neither pre-LT CKD nor post-LT AKI (Figure 2B).
In univariable analysis, pre-LT diabetes (HR 5.51, 95% CI 2.04–14.91, p = 0.001), pre-LT CKD (HR 15.29, 95% CI 5.91–39.54, p < 0.001), and post-LT AKI (HR 8.01, 95% CI 2.63–24.43, p < 0.001) were associated with the occurrence of ESRD. In the multivariable analysis, pre-LT diabetes (HR 3.51, 95% CI 1.25–9.86, p = 0.017), pre-LT CKD (HR 9.54, 95% CI 3.49–26.10, p < 0.001), and AKI (HR 6.76, 95% CI 2.19–20.91, p = 0.001) were risk factors for ESRD (Table 4). Moreover, when post-LT AKI and pre-LT CKD were considered individually, patients with post-LT AKI were 10.17 times more likely to develop ESRD than those without injury, after adjustment for age, sex, DM, HTN, and CKD. However, when AKI and CKD occurred concurrently, the recipients were 76.36 times more likely to develop ESRD than those with neither condition.

3.4. All-Cause Mortality and Death Risk after Post-LT AKI

As shown in Table 2, the presence of post-LT AKI was associated with significantly increased mortality (25.1% versus 12.0%, p < 0.001). Using the KDIGO-equivalent AKI definition, we also observed that all-cause mortality increased with higher stages of severity, as shown in Figure 3. The mortality rate was 22.2% in AKI stage I, 33.3% in AKI stage 2, 37.5% in stage 3, and 50% in patients requiring renal replacement therapy (p < 0.001).

3.5. Risk Factors for Post-LT AKI

Recipients who developed post-LT AKI were noted to have been generally older, had higher MELD scores, less frequently presented with HCC, had pre-LT HTN, relatively lower preoperative serum albumin level, and had more blood loss than those in the no post-LT AKI group (p < 0.05) in Table 1. Using multivariate logistic regression analysis for risk factors for post-LT AKI, older age (odds ratio [OR] 1.04, 95% CI 1.01–1.06, p = 0.007), the presence of HCC (OR 0.64, 95% CI 0.43–0.93, p = 0.021), pre-LT HTN (OR 1.73, 95% CI 1.00–3.01, p = 0.045), blood loss (OR 1.05, 95% CI 1.02–1.08, p = 0.001), and pre-LT serum albumin level (OR 0.72, 95% CI 0.54–0.99, p = 0.041) were independent risk factors for AKI, as shown in Table 5.

4. Discussion

With improved LT surgical techniques and survival, the long-term care of LT recipients has become increasingly important [1]. Our study revealed a correlation of major adverse cardiovascular and kidney events with postoperative AKI among LT recipients with a median follow-up of 10 years. History of CVD, pre-LT DM, and post-LT AKI were predictors of future cardiac events, whereas pre-LT CKD, pre-LT DM, and post-LT AKI were risk factors for ESRD. Furthermore, underlying CKD patients complicated with post-LT AKI demonstrate a multiplicative risk for the development of ESRD.
AKI after liver transplantation is common, and the reported incidence ranges from 14% to 97% in deceased donor LT (DDLT) [13,14]. The variation in the post-LT AKI incidence rate comes from the different populations studied, different postoperative periods, and different definitions of AKI used. However, few studies have addressed AKI after LDLT, and Kwon et al. reported an incidence of 68% in a cohort of 1136 LDLT cases [12]. Another study by Hilmi et al. reported that LDLT recipients have a lower risk of post-LT AKI than DDLT recipients (23% versus 44.2%, respectively) within the first 72 h after LT, probably because of higher quality liver grafts [23]. In our cohort, the incidence of AKI during the first week after LDLT was 35.0%, and the result was comparable with previous studies.
Post-LT AKI is recognized as an independent risk factor for future MACE in nontransplant populations [8,10,11]. The reported frequency of long-term post-LT cardiovascular events varies greatly between different LT protocols and follow-up times. Our 10-years incidence of MACE is 5.3%, slightly lower than previous studies, reporting a range from 4.5% to 28% within three years after LT [24,25]. By disease-specific events, patients with post-LT AKI were associated with a higher incidence of CAD and HF than patients without AKI but not with the occurrence of stroke. Although some studies reported CKD was associated with the development of MACE, it was only evident in univariate analysis in our cohort. One of the explanations was the interaction between AKI and CKD. In multivariate analysis, underlying CVD, pre-LT DM, and post-LT AKI were found to be predictors of MAKE. Diabetes and pre-LT CAD are established determinates of MACE after LT [26,27], which correlated with our results. However, little information has addressed de novo cardiovascular disease in LT recipients with AKI. Although Faouzi et al. [25] proved that deteriorated renal function after transplantation increases the risk of cardiac events in a two-year prospective trial, AKI was not mentioned. Our findings proved the association between post-LT AKI and long-term cardiovascular events. Finally, all three heart failure patients expired, which also highlighted the importance of postoperative cardiovascular surveillance [28].
ESRD is a serious complication with a cumulative incidence between 1% and 4% within 5 years after LT [29,30], and is associated with a higher risk of mortality [31]. Trinh et al. [30] demonstrated that the incidence of new-onset ESRD after transplantation was significantly higher among patients who developed AKI. In our study, the cumulative probability of developing ESRD at 5 years was 3.7% and 0.8% for patients with and without post-LT AKI, also consistent with previous reports [29,30]. In addition to AKI, two other risk factors found in this study, underlying diabetes and CKD, were demonstrated to be as contributing determinants of future ESRD [32]. Moreover, recipients with both post-LT AKI and baseline CKD were far more likely to develop ESRD, suggesting a strong multiplicative effect of the interaction between the two conditions for the development of ESRD. Patients with impaired renal function have an increased risk for AKI [33], but the combined effect of AKI and CKD on long-term ESRD development has rarely been studied. In a prospective study of patients receiving dialysis, Metcalfe et al. [34] found that 44% required dialysis because of CKD, 36% because of AKI, and 20% because of acute on chronic renal failure, indicating that AKI superimposed on CKD induces a negative impact on the renal outcome.
Both pre-LT and de novo diabetes increase the risk of infection, CV events, ESRD, and death [35]. In our results, not only AKI, but also pre-LT DM was an independent predictor of future MACE and ESRD. Similarly, the associations between AKI and DM with the risk of renal failure were also reported in a large analysis including 69,321 transplants of nonrenal organs [36]. Pre-LT diabetes exhibited a more significant impact on mortality than de novo diabetes, which may imply the pre-existing condition influence the long-term outcome [2]. As in our results, pre-LT diabetes rather than de novo DM plays a crucial role in the CV and renal events.
Irrespective of the cause, the mortality rate is directly correlated with the stage and severity of AKI [37]. Although using different AKI definitions based on several criteria, the studies in which stages of AKI could be ascertained have demonstrated that patients with AKI experience a progressive increase in mortality with worsening AKI stages [37]. We used the KDIGO definition of AKI to classify our patients into three stages and subgroups needing renal replacement therapy (Figure 3). This result echoes those of other studies and proves that the mortality rate corresponds to the severity of AKI.
Several retrospective studies have demonstrated a wide variety of risk factors for the development of post-LT AKI, and its etiology is considered multifactorial origins encompassing recipients, grafts, and peri- and postoperative factors [13]. In this study, we found that aging, presence of HCC, HTN, hypoalbuminemia, and blood loss were correlated with post-LDLT AKI. The last two factors are consistent with the findings of Kwon et al. [12], as the number of units of transfused RBCs is regarded as a surrogate marker of blood loss. The presence of HCC is inversely associated with AKI occurrence, which may be explained by the lower Child score and reduced blood loss in these HCC patients [13]. Aging and HTN, although not reported in the LT setting, are well-known predictors for AKI in other non-LT hospitalized populations [38]. Moreover, whether immunosuppression therapy plays a role in the development of AKI cannot be proven in this study because CNI was used universally in every case and an mTOR inhibitor was prescribed when AKI occurred or in case of advanced HCC. Therefore, the use of mTOR inhibitors was regarded as a consequence of AKI events.
Summarizing the post-LT AKI risk factors in our study, nonmodifiable factors included patient characteristics (age, HTN) and hepatic status (hypoalbuminemia, HCC existence). Intraoperative blood loss, therefore, is probably the only modifiable factor. Hence, we should avoid major blood loss during LT to prevent long-term cardiovascular and renal complications. In addition, identifying these high-risk patients, as well as meticulous surveillance of CV and kidney function is recommended. Finally, early recognition of AKI by using biomarkers, avoidance of nephrotoxic drugs, and optimization of volume status and hemodynamics are also evident to prevent AKI-associated complications [39].
The study has several limitations. First, this was a retrospective observational analysis, which may impact the identification of some confounding factors. Second, we may underestimate the incidence of AKI because only serum creatinine values were used as the main criterion in the definition of AKI and urinary output was eliminated from the equation. Third, because this was a single-center study, our institutional perioperative strategy may influence the occurrence of post-LT AKI. Finally, the overall sample size was small and the median length of follow-up was only ten years. More studies with larger groups and longer follow-up periods are needed to further clarify the long-term consequences after post-LT AKI.

5. Conclusions

Compared with other studies discussing post-LT AKI, we provided a longer period of follow-up and showed a significant association between AKI and MACE/MAKE, as well as death. The mortality rate is directly correlated with the severity of AKI. Patients with both AKI and concurrent CKD showed a multiplicative risk for the development of ESRD. Prevention of AKI occurrence for high-risk patients is warranted to reduce the negative impact and to improve long-term recipient outcomes.

Author Contributions

Conceptualization, C.-C.L., C.-L.C. and C.-C.W.; methodology, Y.-C.C. and C.-H.Y.; software, Y.-C.C.; validation, L.-C.L., T.-Y.C. and C.-C.Y.; formal analysis, C.-C.L.; data curation, C.-H.Y.; writing—original draft preparation, Y.-C.C. and C.-H.Y.; writing—review and editing, L.-C.L. and C.-C.Y.; visualization, C.-C.W., T.-Y.C. and A.D.O.; supervision, C.-L.C. and C.-C.W.; project administration, Y.-C.C. and A.D.O. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was reviewed and approved by the Institutional Review Board of Kaohsiung Chang Gung Memorial Hospital (No. 20180143680).

Informed Consent Statement

Individual informed patient’s consent was waived by the committee owing to the retrospective nature of the study.

Data Availability Statement

The data collected and analyzed during the current study was available from the corresponding author on reasonable request.

Acknowledgments

We thank the Biostatics Center, Kaohsiung Chang Gung Memorial Hospital, for their statistics wok.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

AKIacute kidney injury
BMIbody mass index
CADcoronary artery disease
CKDchronic kidney disease
CVDcardiovascular disease
DDLTdiseased donor liver transplantation
DMdiabetes mellitus
eGFRestimated glomerular filtration rate
ESRDend stage renal disease
GRWRgraft recipient weight ratio
HCChepatocellular carcinoma
HRhazard ratio
HTNhypertension
IVintravenous
MDRDmodification of Diet in Renal Disease
MMFmycophenolate mofetil
KDIGOkidney Disease Improving Global Outcomes
LDLTliving donor liver transplantation
LTliver transplantation
MACEmajor adverse cardiac event
MAKEmajor adverse kidney event
mTORmammalian target of rapamycin
ORodds ratio
PCIpercutaneous coronary intervention
Scrserum creatinine

References

  1. Kim, W.R.; Lake, J.R.; Smith, J.M.; Schladt, D.P.; Skeans, M.A.; Noreen, S.M.; Robinson, A.M.; Miller, E.; Snyder, J.J.; Israni, A.K.; et al. OPTN/SRTR 2017 Annual Data Report: Liver. Am. J. Transplant. 2019, 19 (Suppl. S2), 184–283. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Watt, K.D.; Pedersen, R.A.; Kremers, W.K.; Heimbach, J.K.; Charlton, M.R. Evolution of causes and risk factors for mortality post-liver transplant: Results of the NIDDK long-term follow-up study. Am. J. Transplant. 2010, 10, 1420–1427. [Google Scholar] [CrossRef] [PubMed]
  3. Rubin, A.; Sanchez-Montes, C.; Aguilera, V.; Juan, F.S.; Ferrer, I.; Moya, A.; Montalva, E.; Pareja, E.; Lopez-Andujar, R.; Prieto, M.; et al. Long-term outcome of ‘long-term liver transplant survivors’. Transplant. Int. Off. J. Eur. Soc. Organ. Transplant. 2013, 26, 740–750. [Google Scholar] [CrossRef] [PubMed]
  4. Go, A.S.; Chertow, G.M.; Fan, D.; McCulloch, C.E.; Hsu, C.Y. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N. Engl. J. Med. 2004, 351, 1296–1305. [Google Scholar] [CrossRef]
  5. Korsnes, J.S.; Davis, K.L.; Ariely, R.; Bell, C.F.; Mitra, D. Health care resource utilization and costs associated with nonfatal major adverse cardiovascular events. J. Manag. Care Spec. Pharm. 2015, 21, 443–450. [Google Scholar] [CrossRef] [Green Version]
  6. Sola, E.; Gines, P. Chronic kidney disease: A major concern in liver transplantation in the XXI century. J. Hepatol. 2014, 61, 196–197. [Google Scholar] [CrossRef] [Green Version]
  7. Biteker, M.; Dayan, A.; Tekkesin, A.I.; Can, M.M.; Tayci, I.; Ilhan, E.; Sahin, G. Incidence, risk factors, and outcomes of perioperative acute kidney injury in noncardiac and nonvascular surgery. Am. J. Surg. 2014, 207, 53–59. [Google Scholar] [CrossRef]
  8. Chawla, L.S.; Amdur, R.L.; Shaw, A.D.; Faselis, C.; Palant, C.E.; Kimmel, P.L. Association between AKI and long-term renal and cardiovascular outcomes in United States veterans. Clin. J. Am. Soc. Nephrol. 2014, 9, 448–456. [Google Scholar] [CrossRef] [Green Version]
  9. Hobson, C.; Ozrazgat-Baslanti, T.; Kuxhausen, A.; Thottakkara, P.; Efron, P.A.; Moore, F.A.; Moldawer, L.L.; Segal, M.S.; Bihorac, A. Cost and Mortality Associated With Postoperative Acute Kidney Injury. Ann. Surg. 2015, 261, 1207–1214. [Google Scholar] [CrossRef]
  10. Coca, S.G.; Yusuf, B.; Shlipak, M.G.; Garg, A.X.; Parikh, C.R. Long-term risk of mortality and other adverse outcomes after acute kidney injury: A systematic review and meta-analysis. Am. J. Kidney Dis. 2009, 53, 961–973. [Google Scholar] [CrossRef] [Green Version]
  11. Zhao, X.J.; Zhu, F.X.; Li, S.; Zhang, H.B.; An, Y.Z. Acute kidney injury is an independent risk factor for myocardial injury after noncardiac surgery in critical patients. J. Crit. Care 2017, 39, 225–231. [Google Scholar] [CrossRef] [PubMed]
  12. Kwon, H.-M.; Moon, Y.-J.; Jung, K.-W.; Jeong, H.-W.; Park, Y.-S.; Jun, I.-G.; Song, J.-G.; Hwang, G.-S. Low Mean Arterial Blood Pressure is Independently Associated with Postoperative Acute Kidney Injury After Living Donor Liver Transplantation: A Propensity Score Weighing Analysis. Ann. Transplant. 2018, 23, 236–245. [Google Scholar] [CrossRef] [PubMed]
  13. Hilmi, I.A.; Damian, D.; Al-Khafaji, A.; Planinsic, R.; Boucek, C.; Sakai, T.; Chang, C.C.; Kellum, J.A. Acute kidney injury following orthotopic liver transplantation: Incidence, risk factors, and effects on patient and graft outcomes. Br. J. Anaesth 2015, 114, 919–926. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Barri, Y.M.; Sanchez, E.Q.; Jennings, L.W.; Melton, L.B.; Hays, S.; Levy, M.F.; Klintmalm, G.B. Acute kidney injury following liver transplantation: Definition and outcome. Liver Transplant. Off. Publ. Am. Assoc. Study Liver Dis. Int. Liver Transplant. Soc. 2009, 15, 475–483. [Google Scholar] [CrossRef] [PubMed]
  15. Wyatt, C.M.; Arons, R.R. The burden of acute renal failure in nonrenal solid organ transplantation. Transplantation 2004, 78, 1351–1355. [Google Scholar] [CrossRef]
  16. Kellum, J.A.; Lameire, N. Diagnosis, evaluation, aand management of acute kidney injury: A KDIGO summary (Part 1). Crit. Care 2013, 17, 204. [Google Scholar] [CrossRef] [Green Version]
  17. Thongprayoon, C.; Kaewput, W.; Thamcharoen, N.; Bathini, T.; Watthanasuntorn, K.; Lertjitbanjong, P.; Sharma, K.; Salim, S.A.; Ungprasert, P.; Wijarnpreecha, K.; et al. Incidence and Impact of Acute Kidney Injury after Liver Transplantation: A Meta-Analysis. J. Clin. Med. 2019, 8, 372. [Google Scholar] [CrossRef] [Green Version]
  18. Levey, A.S.; Stevens, L.A. Estimating GFR using the CKD Epidemiology Collaboration (CKD-EPI) creatinine equation: More accurate GFR estimates, lower CKD prevalence estimates, and better risk predictions. Am. J. Kidney Dis. 2010, 55, 622–627. [Google Scholar] [CrossRef] [Green Version]
  19. Patel, S.S.; Guzman, L.A.; Lin, F.P.; Pence, T.; Reichman, T.; John, B.; Celi, F.S.; Liptrap, E.; Bhati, C.; Siddiqui, M.S. Utilization of aspirin and statin in management of coronary artery disease in patients with cirrhosis undergoing liver transplant evaluation. Liver Transplant. Off. Publ. Am. Assoc. Study Liver Dis. Int. Liver Transplant. Soc. 2018, 24, 872–880. [Google Scholar] [CrossRef] [Green Version]
  20. Swedberg, K.; Cleland, J.; Dargie, H.; Drexler, H.; Follath, F.; Komajda, M.; Tavazzi, L.; Smiseth, O.A.; Gavazzi, A.; Haverich, A.; et al. Guidelines for the diagnosis and treatment of chronic heart failure: Executive summary (update 2005): The Task Force for the Diagnosis and Treatment of Chronic Heart Failure of the European Society of Cardiology. Eur. Heart J. 2005, 26, 1115–1140. [Google Scholar] [CrossRef] [Green Version]
  21. VanWagner, L.B.; Serper, M.; Kang, R.; Levitsky, J.; Hohmann, S.; Abecassis, M.; Skaro, A.; Lloyd-Jones, D.M. Factors Associated With Major Adverse Cardiovascular Events After Liver Transplantation Among a National Sample. Am. J. Transplant. 2016, 16, 2684–2694. [Google Scholar] [CrossRef] [PubMed]
  22. See, E.J.; Toussaint, N.D.; Bailey, M.; Johnson, D.W.; Polkinghorne, K.R.; Robbins, R.; Bellomo, R. Risk factors for major adverse kidney events in the first year after acute kidney injury. Clin. Kidney J. 2021, 14, 556–563. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Hilmi, I.A.; Damian, D.; Al-Khafaji, A.; Sakai, T.; Donaldson, J.; Winger, D.G.; Kellum, J.A. Acute kidney injury after orthotopic liver transplantation using living donor versus deceased donor grafts: A propensity score-matched analysis. Liver Transplant. Off. Publ. Am. Assoc. Study Liver Dis. Int. Liver Transplant. Soc. 2015, 21, 1179–1185. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Josefsson, A.; Fu, M.; Bjornsson, E.; Castedal, M.; Kalaitzakis, E. Pre-transplant renal impairment predicts posttransplant cardiac events in patients with liver cirrhosis. Transplantation 2014, 98, 107–114. [Google Scholar] [CrossRef] [PubMed]
  25. Saliba, F.; Fischer, L.; de Simone, P.; Bernhardt, P.; Bader, G.; Fung, J. Association Between Renal Dysfunction and Major Adverse Cardiac Events After Liver Transplantation: Evidence from an International Randomized Trial of Everolimus-Based Immunosuppression. Ann. Transplant. 2018, 23, 751–757. [Google Scholar] [CrossRef]
  26. Darstein, F.; Hoppe-Lotichius, M.; Vollmar, J.; Weyer-Elberich, V.; Zimmermann, A.; Mittler, J.; Otto, G.; Lang, H.; Galle, P.R.; Zimmermann, T. Pretransplant coronary artery disease is a predictor for myocardial infarction and cardiac death after liver transplantation. Eur. J. Intern. Med. 2018, 51, 41–45. [Google Scholar] [CrossRef]
  27. Patel, S.S.; Lin, F.P.; Rodriguez, V.A.; Bhati, C.; John, B.V.; Pence, T.; Siddiqui, M.B.; Sima, A.P.; Abbate, A.; Reichman, T.; et al. The relationship between coronary artery disease and cardiovascular events early after liver transplantation. Liver Int. 2019, 39, 1363–1371. [Google Scholar] [CrossRef]
  28. Qureshi, W.; Mittal, C.; Ahmad, U.; Alirhayim, Z.; Hassan, S.; Qureshi, S.; Khalid, F. Clinical predictors of post-liver transplant new-onset heart failure. Liver Transplant. Off. Publ. Am. Assoc. Study Liver Dis. Int. Liver Transplant. Soc. 2013, 19, 701–710. [Google Scholar] [CrossRef]
  29. Kalisvaart, M.; Schlegel, A.; Trivedi, P.J.; Roberts, K.; Mirza, D.F.; Perera, T.; Isaac, J.I.; Ferguson, J.; de Jonge, J.; Muiesan, P. Chronic Kidney Disease After Liver Transplantation: Impact of Extended Criteria Grafts. Liver Transplant. Off. Publ. Am. Assoc. Study Liver Dis. Int. Liver Transplant. Soc. 2019, 25, 922–933. [Google Scholar] [CrossRef]
  30. Trinh, E.; Alam, A.; Tchervenkov, J.; Cantarovich, M. Impact of acute kidney injury following liver transplantation on long-term outcomes. Clin. Transplant. 2017, 31, e12863. [Google Scholar] [CrossRef]
  31. Allen, A.M.; Kim, W.R.; Therneau, T.M.; Larson, J.J.; Heimbach, J.K.; Rule, A.D. Chronic kidney disease and associated mortality after liver transplantation--a time-dependent analysis using measured glomerular filtration rate. J. Hepatol. 2014, 61, 286–292. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Sharma, P.; Goodrich, N.P.; Schaubel, D.E.; Guidinger, M.K.; Merion, R.M. Patient-specific prediction of ESRD after liver transplantation. J. Am. Soc. Nephrol. 2013, 24, 2045–2052. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Nash, K.; Hafeez, A.; Hou, S. Hospital-acquired renal insufficiency. Am. J. Kidney Dis. 2002, 39, 930–936. [Google Scholar] [CrossRef] [PubMed]
  34. Metcalfe, W.; Simpson, M.; Khan, I.H.; Prescott, G.J.; Simpson, K.; Smith, W.C.; MacLeod, A.M. Acute renal failure requiring renal replacement therapy: Incidence and outcome. QJM Mon. J. Assoc. Physicians 2002, 95, 579–583. [Google Scholar] [CrossRef] [Green Version]
  35. Galindo, R.J.; Wallia, A. Hyperglycemia and Diabetes Mellitus Following Organ Transplantation. Curr. Diabetes Rep. 2016, 16, 14. [Google Scholar] [CrossRef]
  36. Ojo, A.O.; Held, P.J.; Port, F.K.; Wolfe, R.A.; Leichtman, A.B.; Young, E.W.; Arndorfer, J.; Christensen, L.; Merion, R.M. Chronic renal failure after transplantation of a nonrenal organ. N. Engl. J. Med. 2003, 349, 931–940. [Google Scholar] [CrossRef]
  37. Levey, A.S.; James, M.T. Acute Kidney Injury. Ann. Intern. Med. 2017, 167, ITC66–ITC80. [Google Scholar] [CrossRef]
  38. Yokota, L.G.; Sampaio, B.M.; Rocha, E.P.; Balbi, A.L.; Sousa Prado, I.R.; Ponce, D. Acute kidney injury in elderly patients: Narrative review on incidence, risk factors, and mortality. Int. J. Nephrol. Renovasc. Dis. 2018, 11, 217–224. [Google Scholar] [CrossRef] [Green Version]
  39. Meersch, M.; Schmidt, C.; Hoffmeier, A.; Van Aken, H.; Wempe, C.; Gerss, J.; Zarbock, A. Prevention of cardiac surgery-associated AKI by implementing the KDIGO guidelines in high risk patients identified by biomarkers: The PrevAKI randomized controlled trial. Intensive Care Med. 2017, 43, 1551–1561. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Estimated probability of major adverse cardiovascular events after living donor liver transplantation using the Kaplan–Meier method.
Figure 1. Estimated probability of major adverse cardiovascular events after living donor liver transplantation using the Kaplan–Meier method.
Jcm 11 03100 g001
Figure 2. Estimated probability of ESRD occurrence after living donor liver transplantation using the Kaplan–Meier method. (A) Curves by post-LT AKI status. (B) Curves by post-LT AKI and pre-LT CKD status.
Figure 2. Estimated probability of ESRD occurrence after living donor liver transplantation using the Kaplan–Meier method. (A) Curves by post-LT AKI status. (B) Curves by post-LT AKI and pre-LT CKD status.
Jcm 11 03100 g002
Figure 3. All-cause mortality rate after living donor liver transplantation with increasing stages of postoperative acute kidney injury. KDIGO—Kidney Disease Improving Global Outcome. * These post-LT AKI patients needing dialysis therapy were also included in the group of AKI stage III.
Figure 3. All-cause mortality rate after living donor liver transplantation with increasing stages of postoperative acute kidney injury. KDIGO—Kidney Disease Improving Global Outcome. * These post-LT AKI patients needing dialysis therapy were also included in the group of AKI stage III.
Jcm 11 03100 g003
Table 1. Characteristics of the Patients Undergoing Living Donor Liver Transplantation.
Table 1. Characteristics of the Patients Undergoing Living Donor Liver Transplantation.
Total
(n = 512)
Post-LT AKI
(n = 179, 35.0%)
No Post-LT AKI
(n = 333, 65.0%)
p-Value
Recipient age (years)54.2 ± 8.155.4 ± 7.953.6 ± 8.10.018
Male sex, n (%)378 (73.8%)131 (73.2%)247 (74.2%)0.808
BMI (kg/m2)24.9 ± 4.324.5 ± 4.625.1 ± 4.20.175
MELD13.6 ± 7.614.5 ± 8.213.1 ± 7.30.041
Acute kidney injury
 Stage 0 -333 (100%)
 Stage 1 135 (75.4%)-
 Stage 2 36 (20.1%)-
 Stage 3 8 (4.5%)-
Primary liver disease, n (%)
 Hepatitis B virus240 (26.9%)78 (43.6%)162 (48.6%)0.273
 Hepatitis C virus174 (34.1%)60 (33.7%)114 (34.2%)0.521
 Alcohol abuse39 (7.6%)17 (9.5%)22 (6.6%)0.240
 Others56 (10.9%)23 (12.8%)33 (9.9%)0.310
 HCC positive277 (54.1%)86 (48%)191 (57.4%)0.044
Preoperative comorbidities, n (%)
 Diabetes mellitus120 (23.4%)50 (27.9%)70 (21.0%)0.078
 Hypertension62 (12.1%)29 (16.2%)33 (9.9%)0.037
 HRS type I/II5 (1.0%)/14 (2.7%)3 (1.7%)/7 (1.9%)2 (0.6%)/7 (2.1%)0.238
 Chronic kidney disease26 (5.1%)13 (7.3%)13 (3.9%)0.099
 Cardiovascular disease19 (3.7%)9 (5.0%)10 (3.0%)0.248
Preoperative laboratory variables
 Serum albumin (g/dL)3.1 ± 0.63.0 ± 0.53.1 ± 0.70.007
 Serum total bilirubin (mg/dL)1.3 ± 4.11.4 ± 3.21.2 ± 4.30.593
 Serum creatinine (mg/dL)0.8 ± 0.40.8 ± 0.40.8 ± 0.30.658
 eGFR (mL/min/1.73 m2)96.0 ± 24.695.4 ± 28.096.4 ± 22.60.679
Perioperative variables
 Blood loss (mL)4443 ± 72286070 ± 97063577 ± 51790.002
 GRWR1.0 ± 0.20.9 ± 0.21.0 ± 0.20.449
 Tacrolimus at initial CNI511 (100%)179 (100%)332 (100%)-
 mTOR inhibitor use349 (68.4%)146 (81.6%)203 (61.0%)<0.001
Acute rejection, n (%)143 (27.9%)41 (22.9%)102 (30.6%)0.063
Values are expressed as means ± SD or numbers (percent). AKI—acute kidney injury; BMI—body mass index; CNI—calcineurin inhibitor; eGFR—estimated glomerular filtration rate; GRWR—graft to recipient weight ratio; HCC—hepatocellular carcinoma; HRS—hepatorenal syndrome; MELD—model of end-stage liver disease; mTOR—mammalian target of rapamycin.
Table 2. Long-term Cardiovascular and Renal Outcomes after Post-LT AKI.
Table 2. Long-term Cardiovascular and Renal Outcomes after Post-LT AKI.
OutcomeTotal
(n = 512)
Post-LT AKI
(n = 179, 35.0%)
No Post-LT AKI
(n = 333, 65.0%)
p-Value
Major adverse cardiac events (MACE)26 (5.3%)15 (8.4%)11 (3.3%)0.013
 Coronary events13 (2.5%)8 (4.5%)5 (1.5%)0.042
 Heart failure3 * (0.6%)3 * (1.7%)0 (0.0%)0.018
 Stroke events11 (2.1%)5 (2.8%)6 (1.8%)0.461
Major adverse kidney events (MAKE)
 3-month CKD61 (11.9%)40 (22.3%)21 (6.3%)<0.001
 Overall CKD145 (28.3%)79 (44.1%)66 (19.8%)<0.001
 ESRD18 (3.5%)14 (7.8%)4 (1.2%)<0.001
Mortality85 (16.6%)45 (25.1%)40 (12.0%)<0.001
Follow up (years)9.3 ± 2.98. 3 ± 3.39.8 ± 2.5<0.001
CKD—chronic kidney disease; ESRD—end-stage renal disease. * One patient was diagnosed with coronary artery disease associated ischemia heart failure.
Table 3. Risk Factors of Major Adverse Cardiovascular Events after Living Donor Liver Transplantation by Cox Regression Analysis.
Table 3. Risk Factors of Major Adverse Cardiovascular Events after Living Donor Liver Transplantation by Cox Regression Analysis.
Univariate AnalysisMultivariate Analysis
HR95% CIp-ValueHR95% CIp-Value
Age (year)1.061.00–1.130.047
Men1.170.47–2.910.738
BMI (kg/m2)0.960.90–1.030.231
Triglyceride (mg/dL)
 Before LT1.000.99–1.010.631
 Post-LT 1st year1.001.00–1.000.833
Cholesterol (mg/dL)
 Before LT1.000.99–1.010.558
 Post-LT 1st year1.001.00–1.010.589
Smoking0.880.35–2.200.786
Pre-LT CVD history6.852.58–18.18<0.0016.512.43–17.46<0.001
Post-LT AKI3.071.41–6.720.0053.061.39–6.750.006
Hypertension
 Before LT2.310.92–5.830.075
 After LT *0.930.25–4.640.922
Diabetes
 Before LT2.671.23–5.780.0132.371.09–5.170.031
 After LT *0.00 &0.00 &0.977
CKD
 Before LT3.150.70–14.210.136
 After LT #3.741.67–8.390.001
ESRD6.082.09–17.670.001
BMI—body mass index; CKD—chronic kidney disease; CVD—cardiovascular disease; ESRD—end-stage renal disease; HR—hazard ratio; LT—liver transplantation. * After LT means de novo hypertension or diabetes mellitus. # CKD after LT represents all LT recipients with estimated glomerular filtration rate <60 mL/min per 1.73 m2. & No development of MACE in recipients with post-LT DM.
Table 4. Risk Factors of ESRD after Living Donor Liver Transplantation by Cox Regression Analysis.
Table 4. Risk Factors of ESRD after Living Donor Liver Transplantation by Cox Regression Analysis.
Univariate AnalysisMultivariate Analysis
HR95% CIp-ValueHR95% CIp-Value
Age (year)1.020.96–1.090.520
Men0.430.17–1.100.078
Hypertension
 Before LT2.260.73–7.020.158
 After LT *1.570.35–7.040.533
Diabetes
 Before LT5.512.04–14.910.0013.511.25–9.860.017
 After LT *1.060.13–8.840.955
Pre-LT CKD15.295.91–39.54<0.0019.543.49–26.10<0.001
Post-LT AKI8.012.63–24.43<0.0016.762.19–20.910.001
Post-LT AKI and pre-LT CKD
 No AKI or CKD1.00 1.00
 AKI only10.582.28–49.110.00310.172.19–47.370.003
 CKD only26.703.76–189.680.00121.182.94–152.690.002
 AKI on CKD119.5222.75–627.93<0.00176.3614.04–415.25<0.001
* After LT means de novo hypertension or diabetes mellitus.
Table 5. Risk Factors of Post-LT AKI after Living Donor Liver Transplantation by Logistic Regression Analysis.
Table 5. Risk Factors of Post-LT AKI after Living Donor Liver Transplantation by Logistic Regression Analysis.
Univariate AnalysisMultivariate Analysis
OR95% CIp-ValueOR95% CIp-Value
Age (year)1.031.01–1.050.0191.041.01–1.060.007
Men0.950.63–1.430.808
MELD score1.021.00–1.050.043
HCC0.690.48–0.990.0440.640.43–0.930.021
Hypertension1.801.05–3.080.0331.731.00–3.010.045
Diabetes1.520.99–2.330.055
CKD1.930.87–4.250.104
Hepatorenal syndrome1.930.67–5.590.226
Pre-LT CVD history1.710.68–4.290.253
Blood loss (L)1.051.02–1.090.0011.051.02–1.080.001
Serum albumin (g/dL)0.680.50–0.920.0110.720.54–0.990.041
Serum Cr (mg/dL)1.120.70–1.790.630
eGFR (mL/min/1.73 m2)1.000.99–1.000.658
CKD—chronic kidney disease; Cr—creatinine; MELD—model of end-stage liver disease; HCC—hepatocellular carcinoma; CVD—cardiovascular disease; eGFR—estimated glomerular filtration rate; OR—odds ratio.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Chan, Y.-C.; Yeh, C.-H.; Li, L.-C.; Chen, C.-L.; Wang, C.-C.; Lin, C.-C.; Ong, A.D.; Chiou, T.-Y.; Yong, C.-C. Excess Risk of Major Adverse Cardiovascular and Kidney Events after Acute Kidney Injury following Living Donor Liver Transplantation. J. Clin. Med. 2022, 11, 3100. https://doi.org/10.3390/jcm11113100

AMA Style

Chan Y-C, Yeh C-H, Li L-C, Chen C-L, Wang C-C, Lin C-C, Ong AD, Chiou T-Y, Yong C-C. Excess Risk of Major Adverse Cardiovascular and Kidney Events after Acute Kidney Injury following Living Donor Liver Transplantation. Journal of Clinical Medicine. 2022; 11(11):3100. https://doi.org/10.3390/jcm11113100

Chicago/Turabian Style

Chan, Yi-Chia, Cheng-Hsi Yeh, Lung-Chih Li, Chao-Long Chen, Chih-Chi Wang, Chih-Chi Lin, Aldwin D. Ong, Ting-Yu Chiou, and Chee-Chien Yong. 2022. "Excess Risk of Major Adverse Cardiovascular and Kidney Events after Acute Kidney Injury following Living Donor Liver Transplantation" Journal of Clinical Medicine 11, no. 11: 3100. https://doi.org/10.3390/jcm11113100

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop