Risk factors for new-onset chronic kidney disease in patients who have received a liver transplant

The Influence of Diabetes Mellitus on the Risks of End-Stage Kidney Disease and Mortality After Liver Transplantation

This retrospective study aimed to investigate the effect of diabetes mellitus (DM) on the risks of end-stage kidney disease (ESKD) and post-liver transplantation (post-LT) mortality. Using data from the National Health Insurance Research Database, Taiwan, 3,489 patients who received a LT between 1 January 2005, and 31 December 2015, were enrolled in this study and divided into the pre-existing DM, post-LT DM (PLTDM), and without DM groups. All subjects were followed up from 1 year after LT to the index date for ESKD, and the occurrence of death, or until 31 December 2016. Of the 3,489 patients with LT, 1,016 had pre-existing DM, 215 had PLTDM, and 2,258 had no DM pre- or post-LT. The adjusted HRs of ESKD were 1.77 (95% Confidence Interval [CI], .78–3.99) and 2.61 (95% CI, 1.63–4.18) for PLTDM group and pre-existing DM group compared to without DM group, respectively. For the risk of death, the adjusted HRs were 1.05 (95% CI, .72–1.55) and 1.28 (95% CI, 1.04–1.59) for PLTDM group and pre-existing DM group compared to those without DM group, respectively. The sensitivity analysis for the risk of ESKD and death also revealed the consistent result. Pre-existing DM has significant increase the risk of post-LT ESKD and mortality. The role of PLTDM should be explored to explain postoperative morbidity and mortality.

Prediction of chronic kidney disease after orthotopic liver transplantation: development and validation of a nomogram model

BACKGROUND

We aimed to develop and validate a nomogram model for predicting CKD after orthotopic liver transplantation (OLT).

METHODS

The retrospective data of 399 patients who underwent transplantation and were followed in our centre were collected. They were randomly assigned to the training set (n = 293) and validation set (n = 106). Multivariable Cox regression analysis was performed in the training set to identify predictors of CKD. According to the Cox regression analysis results, a nomogram model was developed and validated. The renal function of recipients was monitored, and the long-term survival prognosis was assessed.

RESULTS

The incidence of CKD at 5 years after OLT was 25.6%. Cox regression analysis identified several predictors of post-OLT CKD, including recipient age at surgery (HR 1.036, 95% CI 1.006-1.068; p = 0.018), female sex (HR 2.867, 95% CI 1.709-4.810; p < 0.001), preoperative hypertension (HR 1.670, 95% CI 0.962-2.898; p = 0.068), preoperative eGFR (HR 0.996, 95% CI 0.991-1.001; p = 0.143), uric acid at 3 months (HR 1.002, 95% CI 1.001-1.004; p = 0.028), haemoglobin at 3 months (HR 0.970, 95% CI 0.956-0.983; p < 0.001), and average concentration of cyclosporine A at 3 months (HR 1.002, 95% CI 1.001-1.003; p < 0.001). According to these parameters, a nomogram model for predicting CKD after OLT was constructed and validated. The C-indices were 0.75 and 0.80 in the training and validation sets. The calibration curve of the nomogram showed that the CKD probabilities predicted by the nomogram agreed with the observed probabilities at 1, 3, and 5 years after OLT (p > 0.05). Renal function declined slowly year by year, and there were significant differences between patients divided by these predictors. Kaplan-Meier survival analysis showed that the survival prognosis of recipients decreased significantly with the progression of renal function.

CONCLUSIONS

With excellent predictive abilities, the nomogram may be a simple and reliable tool to identify patients at high risk for CKD and poor long-term prognosis after OLT.

Risk Factors and Prognosis of New-Onset Chronic Kidney Disease Following Orthotopic Liver Transplantation: A Retrospective Case-Control Study

BACKGROUND We have undertaken this investigation to explore the perioperative risk factors of new-onset chronic kidney disease (NOCKD) after orthotopic liver transplantation (OLT), and to provide an early prediction model for the screening of NOCKD high-risk populations. MATERIAL AND METHODS A retrospective case-control study was performed in adult recipients who received OLT in our center between January 2018 and January 2020. Perioperative data were collected using the center's electronic medical record system. Logistics regression analysis was used to determine risk factors for NOCKD within 1 year following OLT. Kaplan-Meier and log-rank tests were used to evaluate the 1-year survival of recipients with NOCKD or without NOCKD. RESULTS A total of 174 patients were included in this study, and 29 patients developed NOCKD after OLT. Logistic multivariate regression analysis showed that preoperative diabetes, high model for end-stage liver disease (MELD) score, postoperative acute kidney injury (AKI), and postoperative renal replacement therapy (RRT) were independent risk factors for NOCKD 1 year after OLT. The 1-year survival rate of NOCKD recipients waas significantly lower than that of patients who did not receive NOCKD. CONCLUSIONS Diabetes mellitus, MELD score, postoperative AKI, and requirement for postoperative RRT are independent risk factors for NOCKD after OLT, which may have great potential for personalized decision making and predicting the 1-year postoperative mortality of the recipient.

Association Between Trough Level of Tacrolimus and Change in Estimated Glomerular Filtration Rate 1 Year After Living Donor Liver Transplantation

Background

Although the risk factors for chronic kidney disease progression after deceased donor liver transplantation have been widely reported, there are few reports describing the factors associated with kidney function changes in patients after living donor liver transplantation (LDLT). This study aims to further investigate these kidney function change factors.

Material/Methods

This retrospective study was performed using the data of patients who underwent LDLT at the Nagasaki University Hospital, Japan from August 2000 to November 2017. Factors contributing to post-transplantation estimated glomerular filtration rate (eGFR) changes were analyzed.

Results

A total of 191 cases were reviewed. The average age was 53.8 years, and 108 (56.5%) patients were male. Compared to pre-transplantation eGFR levels, eGFR 1 year after LDLT improved in 65 patients (34%) and deteriorated in 126 patients (66%). Multivariate regression analysis revealed that pre-transplant diuretics (P=0.04) and tacrolimus trough value 1 year after transplantation (P=0.04) were significantly associated with elevated eGFR changes. eGFR elevation 1 year after LDLT was more pronounced in patients with a low tacrolimus trough level 1 year after LDLT (P=0.01). Therefore, mycophenolate mofetil was added to tacrolimus in patients with poor renal function before LDLT.

Conclusions

Tacrolimus trough level was associated with eGFR changes 1 year after LDLT. The adjusted dose of tacrolimus and combined use of other immunosuppressants may be important to maintain renal function after LDLT.

Perioperative Blood Transfusion Is a Predictor of Acute and Chronic Renal Function Deterioration after Partial and Radical Nephrectomy for Renal Cell Carcinoma

INTRODUCTION

The aim was to evaluate the impact of perioperative blood transfusions (PBTs) on renal function after surgery for renal cell carcinoma (RCC).

METHODS

Consecutive patients with RCC who underwent partial nephrectomy or radical nephrectomy between 2005 and 2015 at a tertiary care center were included. Minimum follow-up period was 6 months. A PBT was defined as the transfusion of packed erythrocyte concentrate (EC) within 7 days before until 30 days after surgery. The multivariable analyses were carried out by Cox regression.

RESULTS

The overall cohort included 851 patients, of whom 93 (10.9%) received a PBT. The median follow-up was 46 months (range 28-72). In case of a PBT, a median of 2 EC was transfused. PBT patients were older and had a poorer performance status and more comorbidities as well as locally more advanced or metastatic tumors. In the multivariable analyses, PBT was an independent prognostic factor for acute as well as chronic renal impairment (hazard ratio (HR) 2.72, 95% confidence interval (95% CI) 1.45-5.10, p = 0.002 and HR 2.23, 95% CI 1.26-3.70, p = 0.007).

CONCLUSION

PBT is associated with acute and chronic deterioration of kidney function after surgery for RCC. Thus, it may be used to identify patients requiring close nephrological monitoring.

Histologic Case Definition of an Atypical Glomerular Immune-Complex Deposition Following Kidney Transplantation

Introduction

Immune-complex deposition in the transplanted kidney can present as well-phenotyped recurrent or de novo glomerular disease. However, a subset, herein termed immune-complex glomerulopathy not otherwise specified (ICG-NOS), defies classification. We quantified, categorized, and characterized cases of transplant ICG-NOS occurring at a single US academic medical center.

Methods

We retrospectively reviewed our single-institution pathology database (July 2007–July 2018) to identify and categorize all cases of immune-complex deposition in kidney allografts (based on immunofluorescence microscopy). We extracted clinicopathologic and outcome data for ICG-NOS (i.e., immune complex deposition not conforming to any well-characterized glomerular disease entity).

Results

Of 104 patients with significant immune deposits, 28 (27%) were classified as ICG-NOS. We created 5 mutually exclusive ICG-NOS categories: Full-house, Quasi-full-house, IgA-rich, C1q-rich, and C1q-poor. Overall, 16 (57%) patients met criteria for definite or possible allograft rejection, including 9 (32%) with antibody-mediated rejection (ABMR), 3 (11%) suspicious for ABMR, 1 (4%) with T-cell–mediated rejection (TCMR), and 9 (32%) with borderline TCMR. After a median follow-up of 2.3 (range, 0.1–14.0) years after biopsy, 7 (25%) allografts had failed and an additional 8 (29%) had persistent renal dysfunction (hematuria, 14%; proteinuria, 21%; and estimated glomerular filtration rate <60 ml/min per 1.73 m², 11%).

Conclusion

In contrast to prior studies, our findings suggest that ICG-NOS is not necessarily a benign glomerular process and that there may be an association between ICG-NOS and alloimmunity. Our immunofluorescence-based classification provides a framework for future studies aiming to further elucidate ICG-NOS pathogenesis and prognosis.