Comparison of acute kidney injury between ABO‐compatible and ABO‐incompatible living donor liver transplantation: A propensity matching analysis

Jun, In‐Gu; Lee, Byung-Doo; Kim, Seon‐Ok; Shin, Won-Jung; Bang, Ji‐Yeon; Song, Jae-Kwan; Song, Gi‐Won; Lee, Sung‐Gyu; Hwang, Gyu‐Sam

doi:10.1002/lt.24634

Cited by 17 publications

(15 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Twenty-three studies were subsequently excluded because they did not use a standard AKI definition. Thus, we included 38 cohort studies [14,18,19,21,28,29,30,31,32,39,41,42,43,44,48,49,55,56,57,58,59,60,62,63,64,65,66,69,70,72,73,74,75,76,77,78,79,80] in the meta-analysis of post-LTx AKI incidence with 13,422 patients enrolled. The literature retrieval, review, and selection process are demonstrated in Figure 1.…”

Section: Resultsmentioning

confidence: 99%

“…Recent studies have suggested several important factors that influence post-LTx AKI, including hepatic ischemia-reperfusion injury (HIRI) [36,37,38], increased use of high-risk or marginal grafts, and transplantation of liver grafts to sicker patients with higher Model For End-Stage Liver Disease (MELD) score or with more comorbidities [23,39,40,41,42,43,44,45,46,47,48,49,50,51]. In our literature review, the reported incidences are a farrago, having a range between 5% to 94% [10,11,14,15,16,17,18,19,20,21,22,23,24,25,28,29,30,31,32,33,34,35,39,40,41,42,43,44,45,46,47,48,49,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,…”

Section: Introductionmentioning

confidence: 99%

“…In our literature review, the reported incidences are a farrago, having a range between 5% to 94% [10,11,14,15,16,17,18,19,20,21,22,23,24,25,28,29,30,31,32,33,34,35,39,40,41,42,43,44,45,46,47,48,49,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80]. These wide variabilities are possibly due to non-uniform definitions of AKI [10,11,14,15,16,17,18,19,20,21,22,2...…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Incidence and Impact of Acute Kidney Injury after Liver Transplantation: A Meta-Analysis

Thongprayoon

Kaewput

Thamcharoen

et al. 2019

JCM

View full text Add to dashboard Cite

Background: The study’s aim was to summarize the incidence and impacts of post-liver transplant (LTx) acute kidney injury (AKI) on outcomes after LTx. Methods: A literature search was performed using the MEDLINE, EMBASE and Cochrane Databases from inception until December 2018 to identify studies assessing the incidence of AKI (using a standard AKI definition) in adult patients undergoing LTx. Effect estimates from the individual studies were derived and consolidated utilizing random-effect, the generic inverse variance approach of DerSimonian and Laird. The protocol for this systematic review is registered with PROSPERO (no. CRD42018100664). Results: Thirty-eight cohort studies, with a total of 13,422 LTx patients, were enrolled. Overall, the pooled estimated incidence rates of post-LTx AKI and severe AKI requiring renal replacement therapy (RRT) were 40.7% (95% CI: 35.4%–46.2%) and 7.7% (95% CI: 5.1%–11.4%), respectively. Meta-regression showed that the year of study did not significantly affect the incidence of post-LTx AKI (p = 0.81). The pooled estimated in-hospital or 30-day mortality, and 1-year mortality rates of patients with post-LTx AKI were 16.5% (95% CI: 10.8%–24.3%) and 31.1% (95% CI: 22.4%–41.5%), respectively. Post-LTx AKI and severe AKI requiring RRT were associated with significantly higher mortality with pooled ORs of 2.96 (95% CI: 2.32–3.77) and 8.15 (95%CI: 4.52–14.69), respectively. Compared to those without post-LTx AKI, recipients with post-LTx AKI had significantly increased risk of liver graft failure and chronic kidney disease with pooled ORs of 3.76 (95% CI: 1.56–9.03) and 2.35 (95% CI: 1.53–3.61), respectively. Conclusion: The overall estimated incidence rates of post-LTx AKI and severe AKI requiring RRT are 40.8% and 7.0%, respectively. There are significant associations of post-LTx AKI with increased mortality and graft failure after transplantation. Furthermore, the incidence of post-LTx AKI has remained stable over the ten years of the study.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Incidence and Impact of Acute Kidney Injury after Liver Transplantation: A Meta-Analysis

Thongprayoon

Kaewput

Thamcharoen

et al. 2019

JCM

View full text Add to dashboard Cite

show abstract

“…Postoperative acute kidney injury (AKI) is an important complication after liver transplantation which is associated with poor graft survival and increased mortality [ 6 , 7 , 8 , 9 ]. To find risk factors and develop a risk prediction model, many studies have reported using classical regression methods [ 6 , 10 , 11 , 12 , 13 , 14 , 15 ]. Although several risk factors have been identified [ 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 ], their performance was rarely reported [ 6 ] regarding the area under the receiver-operating characteristics curve (AUROC) [ 13 ], which is the primary measure of the prediction model [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Acute Kidney Injury after Liver Transplantation: Machine Learning Approaches vs. Logistic Regression Model

Lee

Yoon

Yang

et al. 2018

JCM

144

154

View full text Add to dashboard Cite

Acute kidney injury (AKI) after liver transplantation has been reported to be associated with increased mortality. Recently, machine learning approaches were reported to have better predictive ability than the classic statistical analysis. We compared the performance of machine learning approaches with that of logistic regression analysis to predict AKI after liver transplantation. We reviewed 1211 patients and preoperative and intraoperative anesthesia and surgery-related variables were obtained. The primary outcome was postoperative AKI defined by acute kidney injury network criteria. The following machine learning techniques were used: decision tree, random forest, gradient boosting machine, support vector machine, naïve Bayes, multilayer perceptron, and deep belief networks. These techniques were compared with logistic regression analysis regarding the area under the receiver-operating characteristic curve (AUROC). AKI developed in 365 patients (30.1%). The performance in terms of AUROC was best in gradient boosting machine among all analyses to predict AKI of all stages (0.90, 95% confidence interval [CI] 0.86–0.93) or stage 2 or 3 AKI. The AUROC of logistic regression analysis was 0.61 (95% CI 0.56–0.66). Decision tree and random forest techniques showed moderate performance (AUROC 0.86 and 0.85, respectively). The AUROC of support the vector machine, naïve Bayes, neural network, and deep belief network was smaller than that of the other models. In our comparison of seven machine learning approaches with logistic regression analysis, the gradient boosting machine showed the best performance with the highest AUROC. An internet-based risk estimator was developed based on our model of gradient boosting. However, prospective studies are required to validate our results.

show abstract

“…[ 4 ] Patients who receive an ABO-incompatible LT have a higher incidence of AKI than those with an ABO-compatible one. Additionally, a lower hemoglobin level and longer surgery duration are linked to AKI in patients who have undergone an ABO-incompatible LT. [ 23 ] Another study found a significant association between graft recipient weight ratio (<0.8) and early postoperative renal dysfunction, MELD score, and preoperative renal dysfunction in patients who underwent LDLT. [ 3 ] The present study demonstrated that oxygen content 5 minutes after graft reperfusion was an independent determinant of AKI after LDLT.…”

Section: Discussionmentioning

confidence: 99%

Influence of oxygen content immediately after graft reperfusion on occurrence of postoperative acute kidney injury in living donor liver transplantation

Chae

Lee²,

Park³

et al. 2017

Medicine

View full text Add to dashboard Cite

Acute kidney injury (AKI) is a common complication after living donor liver transplantation (LDLT). In this study, we investigated perioperative factors, including oxygen content, related to the postoperative development of AKI after LDLT. The perioperative data of 334 patients were reviewed retrospectively. We identified the postoperative development of AKI based on the Acute Kidney Injury Network criteria. Perioperative variables, including oxygen content, were compared between patients with and without AKI. Potentially significant variables in a univariate analysis were evaluated by multivariate analysis. Postoperative AKI developed in 76 patients (22.7%). Univariate analysis revealed that preoperative factors (body mass index [BMI], diabetes mellitus, C-reactive protein) and intraoperative factors (severe postreperfusion syndrome, packed red blood cell transfusion, furosemide, and oxygen content at the anhepatic phase, 5 minutes and 1 hour after graft reperfusion, and at peritoneal closure) of recipients were significant. The multivariate analysis showed that oxygen content 5 minutes after graft reperfusion, BMI, and furosemide administration were independently associated with postoperative AKI. In conclusion, postoperative AKI was independently associated with oxygen content 5 minutes after graft reperfusion, BMI, and furosemide administration. Meticulous ventilator care and transfusion should be required to maintain sufficient oxygen content immediately after graft reperfusion in patients who undergo LDLT.

show abstract

Comparison of acute kidney injury between ABO‐compatible and ABO‐incompatible living donor liver transplantation: A propensity matching analysis

Cited by 17 publications

References 30 publications

Incidence and Impact of Acute Kidney Injury after Liver Transplantation: A Meta-Analysis

Incidence and Impact of Acute Kidney Injury after Liver Transplantation: A Meta-Analysis

Prediction of Acute Kidney Injury after Liver Transplantation: Machine Learning Approaches vs. Logistic Regression Model

Influence of oxygen content immediately after graft reperfusion on occurrence of postoperative acute kidney injury in living donor liver transplantation

Contact Info

Product

Resources

About