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Lins PRG, Narciso RC, Ferraz LR, Pereira VG, Ferraz-Neto BH, De Almeida MD, Dos Santos BFC, Dos Santos OFP, Monte JCM, Júnior MSD, Batista MC. Modelling kidney outcomes based on MELD eras - impact of MELD score in renal endpoints after liver transplantation. BMC Nephrol 2022; 23:294. [PMID: 35999518 PMCID: PMC9400232 DOI: 10.1186/s12882-022-02912-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 07/27/2022] [Indexed: 11/17/2022] Open
Abstract
Background Acute kidney injury is a common complication in solid organ transplants, notably liver transplantation. The MELD is a score validated to predict mortality of cirrhotic patients, which is also used for organ allocation, however the influence of this allocation criteria on AKI incidence and mortality after liver transplantation is still uncertain. Methods This is a retrospective single center study of a cohort of patients submitted to liver transplant in a tertiary Brazilian hospital: Jan/2002 to Dec/2013, divided in two groups, before and after MELD implementation (pre-MELD and post MELD). We evaluate the differences in AKI based on KDIGO stages and mortality rates between the two groups. Results Eight hundred seventy-four patients were included, 408 in pre-MELD and 466 in the post MELD era. The proportion of patients that developed AKI was lower in the post MELD era (p 0.04), although renal replacement therapy requirement was more frequent in this group (p < 0.01). Overall mortality rate at 28, 90 and 365 days was respectively 7%, 11% and 15%. The 1-year mortality rate was lower in the post MELD era (20% vs. 11%, p < 0.01). AKI incidence was 50% lower in the post MELD era even when adjusted for clinically relevant covariates (p < 0.01). Conclusion Liver transplants performed in the post MELD era had a lower incidence of AKI, although there were more cases requiring dialysis. 1-year mortality was lower in the post MELD era, suggesting that patient care was improved during this period.
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Affiliation(s)
- Paulo Ricardo Gessolo Lins
- Hospital Israelita Albert Einstein, São Paulo, Brazil. .,Division of Nephrology, Federal University of São Paulo, São Paulo, Brazil.
| | | | | | | | | | | | | | | | | | - Marcelino Souza Durão Júnior
- Hospital Israelita Albert Einstein, São Paulo, Brazil.,Division of Nephrology, Federal University of São Paulo, São Paulo, Brazil
| | - Marcelo Costa Batista
- Hospital Israelita Albert Einstein, São Paulo, Brazil.,Division of Nephrology, Federal University of São Paulo, São Paulo, Brazil.,Division of Nephrology, New England Medical Center, Tufts University, Medford, MA, 02155, USA
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Guo D, Wang H, Lai X, Li J, Xie D, Zhen L, Jiang C, Li M, Liu X. Development and validation of a nomogram for predicting acute kidney injury after orthotopic liver transplantation. Ren Fail 2021; 43:1588-1600. [PMID: 34865599 PMCID: PMC8648040 DOI: 10.1080/0886022x.2021.2009863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
Abstract
BACKGROUND We aim to develop and validate a nomogram model for predicting severe acute kidney injury (AKI) after orthotopic liver transplantation (OLT). METHODS A total of 576 patients who received OLT in our center were enrolled. They were assigned to the development and validation cohort according to the time of inclusion. Univariable and multivariable logistic regression using the forward variable selection routine were applied to find risk factors for post-OLT severe AKI. Based on the results of multivariable analysis, a nomogram was developed and validated. Patients were followed up to assess the long-term mortality and development of chronic kidney disease (CKD). RESULTS Overall, 35.9% of patients were diagnosed with severe AKI. Multivariable logistic regression analysis revealed that recipients' BMI (OR 1.10, 95% CI 1.04-1.17, p = 0.012), hypertension (OR 2.32, 95% CI 1.22-4.45, p = 0.010), preoperative serum creatine (sCr) (OR 0.96, 95% CI 0.95-0.97, p < 0.001), and intraoperative fresh frozen plasm (FFP) transfusion (OR for each 1000 ml increase 1.34, 95% CI 1.03-1.75, p = 0.031) were independent risk factors for post-OLT severe AKI. They were all incorporated into the nomogram. The area under the ROC curve (AUC) was 0.73 (p < 0.05) and 0.81 (p < 0.05) in the development and validation cohort. The calibration curve demonstrated the predicted probabilities of severe AKI agreed with the observed probabilities (p > 0.05). Kaplan-Meier survival analysis showed that patients in the high-risk group stratified by the nomogram suffered significantly poorer long-term survival than the low-risk group (HR 1.92, p < 0.01). The cumulative risk of CKD was higher in the severe AKI group than no severe AKI group after competitive risk analysis (HR 1.48, p < 0.05). CONCLUSIONS With excellent predictive abilities, the nomogram may be a simple and reliable tool to identify patients at high risk for severe AKI and poor long-term prognosis after OLT.
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Affiliation(s)
- Dandan Guo
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Huifang Wang
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiaoying Lai
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Junying Li
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Demin Xie
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Li Zhen
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Chunhui Jiang
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Min Li
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xuemei Liu
- Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China
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Hizomi Arani R, Abbasi MR, Mansournia MA, Nassiri Toosi M, Jafarian A, Moosaie F, Karimi E, Moazzeni SS, Abbasi Z, Shojamoradi MH. Acute Kidney Injury After Liver Transplant: Incidence, Risk Factors, and Impact on Patient Outcomes. EXP CLIN TRANSPLANT 2021; 19:1277-1285. [PMID: 34775941 DOI: 10.6002/ect.2021.0300] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVES Acute kidney injury is a frequent complication of liver transplant. Here, we assessed the rate and contributing factors of acute kidney injury and need for renal replacement therapy in patients undergoing liver transplant at a transplant center in Tehran, Iran. MATERIAL AND METHODS We identified all patients who underwent liver transplant at the Imam Khomeini Hospital Complex from March 2018 to March 2019 and who were followed for 3 months after transplant. Acute kidney injury was defined based on the Acute Kidney Injury Network criteria. We collected demographic and pretransplant, intraoperative, and posttransplant data. Univariable and multivariable models were applied to explore independent risk factors for acute kidney injury incidence and need for renal replacement therapy. RESULTS Our study included 173 deceased donor liver transplant recipients. Rates of incidence of acute kidney injury and need for renal replacement therapy were 68.2% and 14.5%, respectively. The 3-month mortality rate among those with severe and mild or moderate acute kidney injury was 44.0% (14/25) and 9.7% (9/ 93), respectively (P < .001). Multivariable analyses indicated that serum albumin (relative risk of 0.55; 95% confidence interval, 0.34-0.87; P = .021), baseline serum creatinine (relative risk of 2.11; 95% confidence interval, 1.56-2.90; P = .037), and intraoperative mean arterial pressure (relative risk of 0.76; 95% confidence interval, 0.63-0.82; P = .008) were independent factors for predicting posttransplant acute kidney injury. Independent risk factors for requiring renal replacement therapy were pretransplant serum creatinine (relative risk of 1.99; 95% confidence interval, 1.89-4.47; P = .044) and intraoperative vasopressor infusion (relative risk of 1.41; 95% confidence interval, 1.38-2.00; P = .021). CONCLUSIONS We found a high incidence of acute kidney injury among liver transplant recipients in our center. There was a significant association between severity of acute kidney injury and 3-month and in-hospital mortality.
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Affiliation(s)
- Reyhane Hizomi Arani
- From the Nephrology Research Center, Tehran University of Medical Sciences, Tehran, Iran.,the Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Thongprayoon C, Kaewput W, Thamcharoen N, Bathini T, Watthanasuntorn K, Lertjitbanjong P, Sharma K, Salim SA, Ungprasert P, Wijarnpreecha K, Kröner PT, Aeddula NR, Mao MA, Cheungpasitporn W. Incidence and Impact of Acute Kidney Injury after Liver Transplantation: A Meta-Analysis. J Clin Med 2019; 8:372. [PMID: 30884912 PMCID: PMC6463182 DOI: 10.3390/jcm8030372] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Revised: 03/05/2019] [Accepted: 03/14/2019] [Indexed: 02/06/2023] Open
Abstract
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.
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Affiliation(s)
- Charat Thongprayoon
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN 55905, USA.
| | - Wisit Kaewput
- Department of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok 10400, Thailand.
| | - Natanong Thamcharoen
- Division of Nephrology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
| | - Tarun Bathini
- Department of Internal Medicine, University of Arizona, Tucson, AZ 85721, USA.
| | | | | | - Konika Sharma
- Department of Internal Medicine, Bassett Medical Center, Cooperstown, NY 13326, USA.
| | - Sohail Abdul Salim
- Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, MS 39216, USA.
| | - Patompong Ungprasert
- Clinical Epidemiology Unit, Department of Research and Development, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
| | - Karn Wijarnpreecha
- Department of Medicine, Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL 32224, USA.
| | - Paul T Kröner
- Department of Medicine, Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL 32224, USA.
| | - Narothama Reddy Aeddula
- Division of Nephrology, Department of Medicine, Deaconess Health System, Evansville, IN 47747, USA.
| | - Michael A Mao
- Department of Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Jacksonville, FL 32224, USA.
| | - Wisit Cheungpasitporn
- Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, MS 39216, USA.
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