The effect of cause, timing, kidney function recovery, and recurrent events on the prognosis of acute kidney injury in kidney transplant recipients

Hospital readmission for acute kidney injury is independently associated with de novo end-stage renal disease after liver transplantation

End-stage renal disease (ESRD) after liver transplantation (LT) is associated with high morbidity and mortality. The consequences of hospitalizations for post-LT acute kidney injury (AKI) are poorly understood. Using linked Medicare claims and transplant registry data, we analyzed adult liver alone recipients not receiving pretransplant dialysis between January 1, 2007, and December 31, 2016. Covariate-adjusted Cox proportional hazards models stratified by center evaluated factors associated with AKI readmission during the first post-LT year, and whether AKI readmission was associated with de novo early (<1 y) or late (≥1 y) ESRD post-LT. The cohort included 10,559 patients and was 64.5% male, 72.5% White, 8.1% Black, and 14.0% Hispanic with median age 62 years. Overall, 2875 (27.2%) patients had ≥1 AKI hospitalization during the first year. Estimated glomerular filtration rate at LT was associated with AKI readmission (adjusted HR: 1.16 per 10 mL/min/1.73m 2 decrease; p <0.001). The adjusted HR for early ESRD in patients with ≥1 AKI readmission <90 days post-LT was 1.90 ( p <0.001). The adjusted HRs for late ESRD with 1 and ≥2 prior AKI readmissions were 1.57 and 2.80, respectively ( p <0.001). AKI readmissions in the first post-LT year impact over one-quarter of recipients. These increase the risk of subsequent ESRD, but may represent an opportunity to intervene and mitigate further renal dysfunction.

Multi-phasic eGFR trajectory during follow up and long-term graft failure after kidney transplantation

BACKGROUND

The prevailing assumption is that following kidney transplantation the pattern of kidney function decline is consistent. Nevertheless, numerous factors leading to graft loss may emerge, altering the trajectory of kidney function. In this study, we aim to assess alterations in estimated glomerular filtration rate (eGFR) trajectory over an extended period of follow-up and examine its correlation with graft survival.

METHODS

We calculated eGFR using all creatinine values available from 1-year post transplantation to the end of follow-up. For pattern analysis, we used a piecewise linear model.

RESULTS

Nine hundred eighty-eight patients were included in the study. After a median follow-up of 5.2 years, 297 (30.1%) patients had a multi-phasic eGFR trajectory. Change in eGFR trajectory was associated with increased risk for graft failure (HR 7.15, 95% CI 5.17-9.89, p < .001), longer follow-up time, younger age, longer cold ischemia time, high prevalence of acute rejection, longer hospitalization and a lower initial eGFR. Of the 988 patients included in the study, 494 (50.0%) had a mono-phasic stable trajectory, 197 (19.9%) had a mono-phasic decreasing trajectory, 184 (18.6%) had bi-phasic decreasing trajectory (initial stability and then decline, 46(4.7%) had a bi-phasic stabilized (initial decline and then stabilization) and 67(6.8%) had a more complex trajectory (tri-phasic). Out of the total 144 patients who experienced graft loss, the predominant pattern was a bi-phasic decline characterized by a bi-linear trajectory (66 events, 45.8%).

CONCLUSIONS

Changes in eGFR trajectory during long-term follow-up can serve as a valuable tool for assessing the underlying mechanisms contributing to graft loss.

Post-transplantation erythrocytosis in kidney transplant recipients-A retrospective cohort study

OBJECTIVES

To characterize risk factors for the development of post-transplant erythrocytosis (PTE), and its long-term effect on mortality, graft failure, and thrombosis.

METHODS

Retrospective study including all kidney transplant recipients in Rabin Medical Center (RMC) during the years 2005-2014. The primary outcome was a composite outcome of all-cause mortality or graft failure at the end of follow-up. Secondary outcomes included death censored graft loss, venous thromboembolism, major adverse cardiovascular events, and mortality. A matched control group was also evaluated. Univariate and multivariate time-varying Cox model analyses were conducted for outcome evaluation.

RESULTS

A total of 1304 patients were included, 169 of whom were diagnosed with PTE (12.9%). PTE was associated with male gender, higher glomerular filtration rate (GFR), and polycystic kidney disease. PTE was found to be associated with a reduced risk of the primary outcome (HR 0.355, CI 95% 0.151-0.89, P = .027) in a univariate time-varying Cox analysis, but was not associated with the composite outcome in a multivariate analysis. There was no difference in the primary outcome when the PTE group was compared with the matched control.

CONCLUSION

PTE was not found to be associated with long-term outcomes of graft failure and poor survival.

Acute Kidney Injury in Hospitalized Kidney Transplant Recipients

BACKGROUND

Acute kidney injury (AKI) is a main cause of morbidity, hospitalization, and hospital readmission in kidney transplant recipients. We aimed to determine AKI incidence and risk factors following kidney transplant to assess outcomes such as renal function and graft loss after AKI.

METHODS

We conducted a retrospective cohort study with hospitalized kidney transplant recipients during 2016 to 2017. Clinical data of 179 patients were reviewed. The primary outcome was AKI incidence and risk factors. To determine AKI occurrence, we based it on creatinine criteria from Acute Kidney Injury Network classification.

RESULTS

We documented a total of 179 hospital admissions; AKI was diagnosed in 104 patients (58.1%). Recipients with higher baseline serum creatinine (odds ratio, 2.6; confidence interval [CI], 1.5-4.5; P < .001) and hospital admission because of infections (odds ratio, 2.4; CI, 1.1-5.2; P = .020) were more likely to experience AKI. A total of 19 recipients (10.6%) had graft loss with a significant AKI association (P = .003) at 12 months after admission. Intensive care unit length of stay (P = .63) and hospital stay (P = .55) were not different in patients with AKI compared with the control group.

CONCLUSIONS

As a main clinical finding, we concluded that infections and higher serum creatinine baseline level were associated with the development of AKI.

Acute Kidney Injury and Long-Term Risk for Cardiovascular Events in Patients after Kidney Transplantation

BACKGROUND

Acute kidney injury (AKI) was found to be associated with an increased risk of major adverse cardiovascular events (MACE) in the general population. Patients after kidney transplantation are prone to AKI events and are also at an increased risk of cardiovascular (CV) disease. The association between AKI and MACE in kidney transplant patients is yet to be studied.

METHODS

This retrospective single-center cohort study reviewed 416 adult renal allograft recipients transplanted between 2005 and 2010. AKI events were recorded starting 2 weeks after transplantation, or following discharge with a functioning graft. AKI was defined, according to the KDIGO criteria. The primary outcome was the composite of MACE starting 6 months after transplantation and all-cause mortality. For survival analysis, we used univariate and multivariate time varying Cox proportional hazard model.

RESULTS

One hundred and twenty-four patients (29.8%) had at least one episode of AKI. During the median follow-up time of 7.2 years (interquartile range 4.3-9.1), 144 outcome events occurred. By time varying Cox regression analysis, AKI was associated with an increased rate of CV outcomes or death (hazard ratio [HR] 1.96, 95% CI 1.36-2.81, p < 0.001), and the association remained significant by multivariate adjusted model (HR 1.76, 95% CI 1.18-2.63, p = 0.005). As for the different components of MACE, all-cause mortality and CV mortality were the only outcomes that were significantly associated with AKI. No interaction between AKI timing and MACE was found.

CONCLUSION

AKI in kidney transplant recipient is associated with an increased risk of CV disease.