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Alshamsi I. Extended Literature Review of the role of erythropoietin stimulating agents (ESA) use in the management of post renal transplant anaemia. TRANSPLANTATION REPORTS 2022. [DOI: 10.1016/j.tpr.2022.100097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Abstract
BACKGROUND Most current scoring tools to predict allograft and patient survival upon kidney transplantion are based on variables collected posttransplantation. We developed a novel score to predict posttransplant outcomes using pretransplant information including routine laboratory data available before or at the time of transplantation. METHODS Linking the 5-year patient data of a large dialysis organization to the Scientific Registry of Transplant Recipients, we identified 15 125 hemodialysis patients who underwent first deceased transplantion. Prediction models were developed using Cox models for (a) mortality, (b) allograft loss (death censored), and (c) combined death or transplant failure. The cohort was randomly divided into a two thirds set (Nd = 10 083) for model development and a one third set (Nv = 5042) for validation. Model predictive discrimination was assessed using the index of concordance, or C statistic, which accounts for censoring in time-to-event models (a-c). We used the bootstrap method to assess model overfitting and calibration using the development dataset. RESULTS Patients were 50 ± 13 years of age and included 39% women, 15% African Americans, and 36% persons with diabetes. For prediction of posttransplant mortality and graft loss, 10 predictors were used (recipients' age, cause and length of end-stage renal disease, hemoglobin, albumin, selected comorbidities, race and type of insurance as well as donor age, diabetes status, extended criterion donor kidney, and number of HLA mismatches). The new model (www.TransplantScore.com) showed the overall best discrimination (C-statistics, 0.70; 95% confidence interval [95% CI], 0.67-0.73 for mortality; 0.63; 95% CI, 0.60-0.66 for graft failure; 0.63; 95% CI, 0.61-0.66 for combined outcome). CONCLUSIONS The new prediction tool, using data available before the time of transplantation, predicts relevant clinical outcomes and may perform better to predict patients' graft survival than currently used tools.
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Yokoro M, Nakayama Y, Yamagishi SI, Ando R, Sugiyama M, Ito S, Yano J, Taguchi K, Kaida Y, Saigusa D, Kimoto M, Abe T, Ueda S, Fukami K. Asymmetric Dimethylarginine Contributes to the Impaired Response to Erythropoietin in CKD-Anemia. J Am Soc Nephrol 2017; 28:2670-2680. [PMID: 28600471 DOI: 10.1681/asn.2016111184] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 04/02/2017] [Indexed: 02/05/2023] Open
Abstract
Erythropoietin-resistant anemia is associated with adverse cardiovascular events in patients with ESRD, but the underlying mechanism remains unclear. Here, we evaluated the role of the endogenous nitric oxide synthase inhibitor asymmetric dimethylarginine (ADMA). In 54 patients with advanced CKD, erythrocyte but not plasma ADMA levels independently associated with low hemoglobin values, although levels of both types of ADMA were elevated compared with those in healthy volunteers. Furthermore, erythrocyte ADMA level associated with the erythropoietin resistance index in patients receiving a weekly injected dose of erythropoiesis-stimulating agents standardized for hemoglobin levels and body weight, whereas it correlated with the erythropoietin demand index (plasma erythropoietin units divided by the hemoglobin value) in patients not receiving erythropoiesis-stimulating agents. Compared with sham-operated controls, wild-type mice with 5/6 subtotal nephrectomy (Nx), a remnant kidney model with advanced CKD, had decreased hemoglobin, hematocrit, and mean corpuscular volume values but increased erythrocyte and plasma ADMA and plasma erythropoietin levels. In comparison, dimethylarginine dimethlaminohydrolase-1 transgenic (DDAH-1 Tg) mice, which efficiently metabolized ADMA, had significant improvements in all of the values except those for erythropoietin after 5/6 Nx. Additionally, wild-type Nx mice, but not DDAH-1 Tg Nx mice, had reduced splenic gene expression of erythropoietin receptor and erythroferrone, which regulates iron metabolism in response to erythropoietin. This study suggests that erythrocyte ADMA accumulation contributes to impaired response to erythropoietin in predialysis patients and advanced CKD mice via suppression of erythropoietin receptor expression.
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Affiliation(s)
- Miyuki Yokoro
- Division of Nephrology, Department of Medicine, and.,Department of Food Sciences and Nutrition, School of Human Environmental Sciences, Mukogawa Women's University, Nishinomiya, Hyogo, Japan
| | | | - Sho-Ichi Yamagishi
- Department of Pathophysiology and Therapeutics of Diabetic Vascular Complications, Kurume University School of Medicine, Kurume, Fukuoka, Japan
| | - Ryotaro Ando
- Division of Nephrology, Department of Medicine, and
| | | | - Sakuya Ito
- Division of Nephrology, Department of Medicine, and
| | - Junko Yano
- Division of Nephrology, Department of Medicine, and
| | | | - Yusuke Kaida
- Division of Nephrology, Department of Medicine, and
| | - Daisuke Saigusa
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Masumi Kimoto
- Department of Nutritional Science, Faculty of Health and Welfare Science, Okayama Prefectural University, Soja, Okayama, Japan
| | - Takaaki Abe
- Department of Clinical Biology and Hormonal Regulation, Tohoku University, Graduate School of Medicine, Sendai, Miyagi, Japan; and
| | - Seiji Ueda
- Division of Nephrology, Department of Internal Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Kei Fukami
- Division of Nephrology, Department of Medicine, and
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Kalantar-Zadeh K, Kovesdy CP, Streja E, Rhee CM, Soohoo M, Chen JL, Molnar MZ, Obi Y, Gillen D, Nguyen DV, Norris KC, Sim JJ, Jacobsen SS. Transition of care from pre-dialysis prelude to renal replacement therapy: the blueprints of emerging research in advanced chronic kidney disease. Nephrol Dial Transplant 2017; 32:ii91-ii98. [PMID: 28201698 PMCID: PMC5837675 DOI: 10.1093/ndt/gfw357] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2016] [Accepted: 09/06/2016] [Indexed: 12/11/2022] Open
Abstract
In patients with advanced (estimated glomerular filtration rate <25 mL/min/1.73 m2) non-dialysis-dependent chronic kidney disease (CKD) the optimal transition of care to renal replacement therapy (RRT), i.e. dialysis or transplantation, is not known. Mortality and hospitalization risk are extremely high upon transition and in the first months following the transition to dialysis. Major knowledge gaps persist pertaining to differential or individualized transitions across different demographics and clinical measures during the 'prelude' period prior to the transition, particularly in several key areas: (i) the best timing for RRT transition; (ii) the optimal RRT type (dialysis versus transplant), and in the case of dialysis, the best modality (hemodialysis versus peritoneal dialysis), format (in-center versus home), frequency (infrequent versus thrice-weekly versus more frequent) and vascular access preparation; (iii) the post-RRT impact of pre-RRT prelude conditions and events such as blood pressure and glycemic control, acute kidney injury episodes, and management of CKD-specific conditions such as anemia and mineral disorders; and (iv) the impact of the above prelude conditions on end-of-life care and RRT decision-making versus conservative management of CKD. Given the enormous changes occurring in the global CKD healthcare landscape, as well as the high costs of transitioning to dialysis therapy with persistently poor outcomes, there is an urgent need to answer these important questions. This review describes the key concepts and questions related to the emerging field of 'Transition of Care in CKD', systematically defines six main categories of CKD transition, and reviews approaches to data linkage and novel prelude analyses along with clinical applications of these studies.
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Affiliation(s)
- Kamyar Kalantar-Zadeh
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine Medical Center, Orange, CA, USA
- VA Long Beach Healthcare System, Long Beach, CA, USA
- Los Angeles Biomedical Research Institute, Harbor-UCLA Med. Center, Torrance, CA, USA
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Csaba P. Kovesdy
- Division of Nephrology, University of Tennessee Health Science Center, Memphis, TN, USA
- Nephrology Section, Memphis Veterans Affairs Medical Center, Memphis, TN, USA
| | - Elani Streja
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine Medical Center, Orange, CA, USA
- VA Long Beach Healthcare System, Long Beach, CA, USA
| | - Connie M. Rhee
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine Medical Center, Orange, CA, USA
- VA Long Beach Healthcare System, Long Beach, CA, USA
| | - Melissa Soohoo
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine Medical Center, Orange, CA, USA
| | | | - Miklos Z. Molnar
- Division of Nephrology, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Yoshitsugu Obi
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine Medical Center, Orange, CA, USA
| | - Daniel Gillen
- University of California Irvine Program for Public Health, Irvine, CA, USA
| | - Danh V. Nguyen
- General Internal Medicine, University of California Irvine Medical Center, Orange, CA, USA
- Biostatistics, Epidemiology and Research Design, University of California Irvine, Irvine, CA, USA
| | - Keith C. Norris
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - John J. Sim
- Kaiser Permanente of Southern California, Pasadena, CA, USA
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Kitamura K, Nakai K, Fujii H, Ishimura T, Fujisawa M, Nishi S. Pre-Transplant Erythropoiesis-Stimulating Agent Hypo-Responsiveness and Post-Transplant Anemia. Transplant Proc 2015; 47:1820-4. [PMID: 26293057 DOI: 10.1016/j.transproceed.2015.06.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2015] [Accepted: 06/02/2015] [Indexed: 11/15/2022]
Abstract
BACKGROUND At the time of kidney transplantation (KT), almost all patients have anemia caused by low levels of endogenous erythropoietin (EPO), along with several other factors. After KT, anemia improves because of secretion of EPO from the allograft. But some recipients have persistent anemia. Whether or not erythropoiesis-stimulating agent (ESA) hypo-responsiveness before KT affects post-transplant anemia (PTA) remains unknown. METHODS Sixty-eight patients received KT between January 2007 and July 2012 through the Department of Urology at Kobe University Hospital, and 35 of these patients were enrolled. Exclusion criteria included age <18 years, unknown ESA dosage at transplantation, ESA start within 1 year after transplantation, and other criteria. We evaluated post-transplant hemoglobin (Hb) levels from the pre-transplant ESA responsive index (ERI): pre-transplant ESA dosage/Hb × body weight at 1 year after transplantation. RESULTS The mean (± SD) Hb of all patients rose from 11.3 ± 1.0 mg/dL to 12.7 ± 1.4 mg/dL at 1 year after transplantation (P < .01). The pre-transplant low ERI group (<10) showed significantly higher hemoglobin levels compared with the pre-transplant high ERI group (≥ 10; 12.9 ± 1.14 mg/dL versus 11.8 ± 1.76 mg/dL, respectively; P = .03). CONCLUSIONS ESA hypo-responsiveness before KT carried over after KT. Low pre-transplant ERI might be a sentinel marker for PTA.
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Affiliation(s)
- K Kitamura
- Division of Nephrology and Kidney Center, Kobe University Graduate School of Medicine, Kobe, Japan
| | - K Nakai
- Division of Nephrology and Kidney Center, Kobe University Graduate School of Medicine, Kobe, Japan
| | - H Fujii
- Division of Nephrology and Kidney Center, Kobe University Graduate School of Medicine, Kobe, Japan
| | - T Ishimura
- Division of Urology, Department of Surgery Related, Kobe University of Medicine, Kobe, Japan
| | - M Fujisawa
- Division of Urology, Department of Surgery Related, Kobe University of Medicine, Kobe, Japan
| | - S Nishi
- Division of Nephrology and Kidney Center, Kobe University Graduate School of Medicine, Kobe, Japan.
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Comparison of the malnutrition–inflammation score in chronic kidney disease patients and kidney transplant recipients. Int Urol Nephrol 2015; 47:1025-33. [DOI: 10.1007/s11255-015-0984-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Accepted: 04/13/2015] [Indexed: 01/02/2023]
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Kalantar-Zadeh K, Brown A, Chen JLT, Kamgar M, Lau WL, Moradi H, Rhee CM, Streja E, Kovesdy CP. Dietary restrictions in dialysis patients: is there anything left to eat? Semin Dial 2015; 28:159-68. [PMID: 25649719 PMCID: PMC4385746 DOI: 10.1111/sdi.12348] [Citation(s) in RCA: 138] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
A significant number of dietary restrictions are imposed traditionally and uniformly on maintenance dialysis patients, whereas there is very little data to support their benefits. Recent studies indicate that dietary restrictions of phosphorus may lead to worse survival and poorer nutritional status. Restricting dietary potassium may deprive dialysis patients of heart-healthy diets and lead to intake of more atherogenic diets. There is little data about the survival benefits of dietary sodium restriction, and limiting fluid intake may inherently lead to lower protein and calorie consumption, when in fact dialysis patients often need higher protein intake to prevent and correct protein-energy wasting. Restricting dietary carbohydrates in diabetic dialysis patients may not be beneficial in those with burnt-out diabetes. Dietary fat including omega-3 fatty acids may be important caloric sources and should not be restricted. Data to justify other dietary restrictions related to calcium, vitamins, and trace elements are scarce and often contradictory. The restriction of eating during hemodialysis treatment is likely another incorrect practice that may worsen hemodialysis induced hypoglycemia and nutritional derangements. We suggest careful relaxation of most dietary restrictions and adoption of a more balanced and individualized approach, thereby easing some of these overzealous restrictions that have not been proven to offer major advantages to patients and their outcomes and which may in fact worsen patients' quality of life and satisfaction. This manuscript critically reviews the current paradigms and practices of recommended dietary regimens in dialysis patients including those related to dietary protein, carbohydrate, fat, phosphorus, potassium, sodium, and calcium, and discusses the feasibility and implications of adherence to ardent dietary restrictions and future research.
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Affiliation(s)
- Kamyar Kalantar-Zadeh
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, Orange, California
- Long Beach Veterans Affairs Healthcare System, Long Beach, California
- Dept. Epidemiology, UCLA Fielding School of Public Health, University of California Los Angeles, Los Angeles, California
| | - Amanda Brown
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, Orange, California
- Long Beach Veterans Affairs Healthcare System, Long Beach, California
| | - Joline L. T. Chen
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, Orange, California
- Long Beach Veterans Affairs Healthcare System, Long Beach, California
| | | | - Wei-Ling Lau
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, Orange, California
| | - Hamid Moradi
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, Orange, California
- Long Beach Veterans Affairs Healthcare System, Long Beach, California
| | - Connie M. Rhee
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, Orange, California
| | - Elani Streja
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, Orange, California
- Long Beach Veterans Affairs Healthcare System, Long Beach, California
| | - Csaba P. Kovesdy
- Univ. of Tennessee Health Science Center, Memphis, Tennessee
- Memphis Veterans Affairs Healthcare System, Memphis, Tennessee
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Ahmadi SF, Zahmatkesh G, Streja E, Molnar MZ, Rhee CM, Kovesdy CP, Gillen DL, Steiner S, Kalantar-Zadeh K. Body mass index and mortality in kidney transplant recipients: a systematic review and meta-analysis. Am J Nephrol 2014; 40:315-24. [PMID: 25341624 DOI: 10.1159/000367812] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2014] [Accepted: 08/20/2014] [Indexed: 12/14/2022]
Abstract
BACKGROUND A higher body mass index (BMI) seems to be linked to survival advantage in maintenance hemodialysis patients. However, it is uncertain if this 'obesity survival paradox' is also observed in kidney transplant recipients. Hence, we systematically reviewed the literature on the impact of pre-transplantation BMI on all-cause mortality in this population. METHODS We searched MEDLINE, EMBASE, Web of Science, CINAHL, and Cochrane CENTRAL for relevant studies up to July 2013. Two investigators independently selected the studies using predefined criteria, abstracted the data from the included studies, and independently assessed each study's quality using the Newcastle-Ottawa Quality Assessment Scale. In addition to the qualitative synthesis, we quantitatively pooled the results of the studies with clinical, methodological, and statistical homogeneity. RESULTS We screened 7,123 records, from which we included 11 studies (with a total of 305,392 participants) in this systematic review and 4 studies in the meta-analyses. In the only study that included children, obesity was linked to higher mortality in children of 6-12 years old. For adults, our meta-analyses indicated that compared to normal BMI, underweight [Hazard Ratio (HR): 1.09; 95% Confidence Interval (CI): 1.02-1.20], overweight (HR: 1.07; 95% CI: 1.04-1.12), and obese (HR: 1.20; 95% CI: 1.14-1.23) levels of BMI were associated with higher mortality. CONCLUSION The presence of the obesity survival paradox is unlikely in kidney transplant recipients since both extremes of pre-transplantation BMI are linked to higher mortality in this population.
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Affiliation(s)
- Seyed-Foad Ahmadi
- Harold Simmons Center for Kidney Disease Research and Epidemiology; Division of Nephrology and Hypertension, University of California Irvine Medical Center, Orange, Calif., USA
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