Donor acute kidney injury and its effect on 1‐year post‐transplant kidney allograft fibrosis

2020 ◽  
Vol 34 (2) ◽  
Author(s):  
Dirk J. Windt ◽  
Rajil Mehta ◽  
Dana R. Jorgensen ◽  
Patrick Bou‐Samra ◽  
Sundaram Hariharan ◽  
...  
Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 29-30
Author(s):  
Fumiya Wada ◽  
Yasuyuki Arai ◽  
Junya Kanda ◽  
Toshio Kitawaki ◽  
Masakatsu Hishizawa ◽  
...  

Introduction: Acute kidney injury (AKI) is one of the major complications after allogeneic hematopoietic cell transplantation (allo-HCT), and several studies have demonstrated a relationship between poor outcome and the concomitant AKI in the early phase after allo-HCT. Among various post-transplant factors, usage of antimicrobial agents, especially in cases where multiple agents are combined, may be one of the major causes of post-transplant AKI, due the potential nephrotoxicity of each agent and drug-drug interactions. An association between the combination of vancomycin (VCM) with piperacillin/tazobactam (PIPC/TAZ) and increased risk of developing AKI after allo-HCT has been reported; however, no reports have demonstrated the impact of other combinations on post-transplant AKI. Herein, we performed a retrospective analysis to compare the incidence of AKI according to selected antimicrobial agents, using a database with information covering the time-dependent administrative status of all the agents involved. Methods: We included patients with hematological malignancies who received allo-HCT between 2006 and 2018 in Kyoto University, Kyoto, Japan to evaluate the incidence and risk factors of AKI early after transplantation (before Day100). The incidence of AKI was defined according to Acute Kidney Injury Network (AKIN) classification and evaluated, considering early death as a competing risk. Administrative status of each antimicrobial agent was treated as a time-dependent covariate, and the synergetic effects on AKI by multiple agents in combination were evaluated as p for interaction. Results: In total, 465 transplant cases (416 patients) were included. The median age at HCT was 49 years old (range, 17-70). Among these, 104 cases received a related-donor transplant (64 patients received bone marrow and 40 peripheral-blood stem cell grafts), 207 received a transplant from unrelated donors, and 154 received a single-unit cord-blood transplant. The median value for pre-transplant serum creatinine (sCr) was 0.6 (range, 0.20-1.68). The cumulative incidence of AKI at Day100 was 40.0%, and overall survival (OS) at 3 years after HCT was 43.5% in patients with AKI while 70.9% in those without AKI (hazard ratio [HR] = 2.63, 95% confidence interval = 1.95-3.55, p < 0.01). Being male and having a higher pre-transplant sCr were significant risk factors for AKI (HR = 1.53, p < 0.01 and HR = 4.21, p < 0.01, respectively). After HCT, 34 types of oral or intravenous antimicrobial agents (17 antibiotics, 6 antivirals, and 11 antifungals) were utilized across the entire cohort. A higher incidence of AKI was significantly associated with the use of intravenous ciprofloxacin, foscarnet (FCN), ganciclovir (GCV), liposomal amphotericin B (L-AMB), meropenem (MEPM), PIPC/TAZ, and VCM (p < 0.05). Next, we investigated the synergistic impacts of using anti-pseudomonal antibiotics and anti-methicillin resistant staphylococcus aureus (MRSA) agents, because empiric treatment of febrile neutropenia after HCT often relies on this combination, i.e. CFPM, PIPC/TAZ, or MEPM in combination with VCM or teicoplanin (TEIC). As a result, sole administration of VCM was associated with a higher incidence of AKI; this effect was enhanced when VCM was used in combination with PIPC/TAZ (HR = 3.03, p < 0.01 for VCM without PIPC/TAZ; HR = 4.38, p < 0.01 for VCM with PIPC/TAZ), indicating the existence of interaction between VCM and PIPC/TAZ. However, for the concomitant use of VCM plus CFPM or MEPM, no synergistic interaction was observed with regard to the increased incidence of AKI. In addition, administration of TEIC alone and any combination used with TEIC were not associated with an increased risk of AKI. An increased risk of AKI was also confirmed for the combination of MEPM plus GCV or FCN, and GCV plus L-AMB. Conclusions: AKI was significantly associated with poorer OS, and specific antimicrobial combinations were suggested to increase the risk of AKI. Avoidance of such combinations should be considered to preserve renal function and to reduce AKI-related morbidity and mortality. Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Vol 95 (1) ◽  
pp. 199-209 ◽  
Author(s):  
Isaac E. Hall ◽  
Enver Akalin ◽  
Jonathan S. Bromberg ◽  
Mona D. Doshi ◽  
Tom Greene ◽  
...  

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Shivani Bajpai, MS2 ◽  
Richard S. Mangus, MD MS FACS

The use of contrast media in hospital procedures has been increasing since its conception in 1923. Despite developments in utility and safety overtime, contrast media has been associated with inducing kidney injury in patients. Several studies have investigated contrast-induced nephropathy (CIN) in hospital patients and kidney recipients post-transplant. However, there are few studies that connect donor contrast exposure to recipient kidney outcomes. This was a single-center, retrospective study on single-organ deceased kidney donors and recipients (n=1585) to explore the impact of pre-transplant contrast procedures on post-transplant kidney outcomes. The results indicated that the first, peak, and last serum creatinine values were not useful markers of CIN in kidney donors. An analysis of those donors who had contrast exposure and those who did not, as well as the amount of contrast exposure in the donor prior to transplant did not conclude significant impact on the recipient kidney outcomes at time points ranging from 7 days to 1-year post transplant. This data provides the largest statistical evidence currently available on this topic; it establishes the foundation for various research developments moving forward. 


2021 ◽  
Author(s):  
Tingyu Li ◽  
Yuelong Yang ◽  
Jinsong Huang ◽  
Rui Chen ◽  
Yijin Wu ◽  
...  

Abstract Background Acute kidney injury (AKI) stage 3, one of the most severe complications in patients with heart transplantation (HT), is associated with substantial morbidity and mortality. We aimed to develop a machine learning (ML) model to predict post-transplant AKI stage 3 based on preoperative and perioperative features. Methods Data from 107 consecutive HT recipients in the provincial center between 2018 and 2020 were included for analysis. Logistic regression with L2 regularization was used for the ML model building. The predictive performance of the ML model was assessed using the area under the curve (AUC) in 10-fold stratified cross-validation and was compared with that of the existing clinical metrics. Results Post-transplant AKI occurred in 71 (66.3%) patients including 13 (12.1%) stage 1, 13 (12.1%) stage 2, and 45 (42.1%) stage 3 cases. The top four features selected for the ML model to predicate AKI stage 3 were serum cystatin C, estimated glomerular filtration rate (eGFR), right atrial long-axis dimension, and serum creatinine (SCr). The predictive performance of the ML model (AUC: 0.828; 95% confidence interval [CI]: 0.745–0.913) was significantly higher compared with that of the existing clinical metrics including eGFR (AUC: 0.694; 95%[CI]: 0.594–0.795, p < 0.05) and SCr (AUC: 0.525; 95%[CI]: 0.411–0.636), p < 0.001). Conclusions The ML model, which achieved an effective predictive performance for post-transplant AKI stage 3, may be helpful for timely intervention to improve the patient’s prognosis.


2014 ◽  
Vol 98 ◽  
pp. 887
Author(s):  
J. Wilflingseder ◽  
J. Sunzenauer ◽  
E. Toronyi ◽  
A. Heinzel ◽  
A. Kainz ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (8) ◽  
pp. e104164 ◽  
Author(s):  
Julia Wilflingseder ◽  
Judith Sunzenauer ◽  
Eva Toronyi ◽  
Andreas Heinzel ◽  
Alexander Kainz ◽  
...  

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