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Chowdhury TA, Wahba M, Mallik R, Peracha J, Patel D, De P, Fogarty D, Frankel A, Karalliedde J, Mark PB, Montero RM, Pokrajac A, Zac-Varghese S, Bain SC, Dasgupta I, Banerjee D, Winocour P, Sharif A. Association of British Clinical Diabetologists and Renal Association guidelines on the detection and management of diabetes post solid organ transplantation. Diabet Med 2021; 38:e14523. [PMID: 33434362 DOI: 10.1111/dme.14523] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 11/24/2020] [Accepted: 01/09/2021] [Indexed: 01/06/2023]
Abstract
Post-transplant diabetes mellitus (PTDM) is common after solid organ transplantation (SOT) and associated with increased morbidity and mortality for allograft recipients. Despite the significant burden of disease, there is a paucity of literature with regards to detection, prevention and management. Evidence from the general population with diabetes may not be translatable to the unique context of SOT. In light of emerging clinical evidence and novel anti-diabetic agents, there is an urgent need for updated guidance and recommendations in this high-risk cohort. The Association of British Clinical Diabetologists (ABCD) and Renal Association (RA) Diabetic Kidney Disease Clinical Speciality Group has undertaken a systematic review and critical appraisal of the available evidence. Areas of focus are; (1) epidemiology, (2) pathogenesis, (3) detection, (4) management, (5) modification of immunosuppression, (6) prevention, and (7) PTDM in the non-renal setting. Evidence-graded recommendations are provided for the detection, management and prevention of PTDM, with suggested areas for future research and potential audit standards. The guidelines are endorsed by Diabetes UK, the British Transplantation Society and the Royal College of Physicians of London. The full guidelines are available freely online for the diabetes, renal and transplantation community using the link below. The aim of this review article is to introduce an abridged version of this new clinical guideline ( https://abcd.care/sites/abcd.care/files/site_uploads/Resources/Position-Papers/ABCD-RA%20PTDM%20v14.pdf).
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Affiliation(s)
| | | | | | | | - Dipesh Patel
- Diabetes & Endocrinology, Royal Free NHS foundation Trust, UCL, London, UK
| | | | | | | | - Janaka Karalliedde
- Guy's and St Thomas NHS Foundation Trust and King's College London, London, UK
| | | | | | - Ana Pokrajac
- West Hertfordshire Hospitals NHS Trust, Watford, UK
| | | | | | - Indranil Dasgupta
- Heartlands Hospital, Birmingham, UK
- Warwick Medical School, Warwick, UK
| | - Debasish Banerjee
- Renal and Transplant Unit, St George's University Hospitals NHS Foundation Trust and MCSRI, St George's University of London, London, UK
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Cohen E, Korah M, Callender G, Belfort de Aguiar R, Haakinson D. Metabolic Disorders with Kidney Transplant. Clin J Am Soc Nephrol 2020; 15:732-742. [PMID: 32284323 PMCID: PMC7269213 DOI: 10.2215/cjn.09310819] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Metabolic disorders are highly prevalent in kidney transplant candidates and recipients and can adversely affect post-transplant graft outcomes. Management of diabetes, hyperparathyroidism, and obesity presents distinct opportunities to optimize patients both before and after transplant as well as the ability to track objective data over time to assess a patient's ability to partner effectively with the health care team and adhere to complex treatment regimens. Optimization of these particular disorders can most dramatically decrease the risk of surgical and cardiovascular complications post-transplant. Approximately 60% of nondiabetic patients experience hyperglycemia in the immediate post-transplant phase. Multiple risk factors have been identified related to development of new onset diabetes after transplant, and it is estimated that upward of 7%-30% of patients will develop new onset diabetes within the first year post-transplant. There are a number of medications studied in the kidney transplant population for diabetes management, and recent data and the risks and benefits of each regimen should be optimized. Secondary hyperparathyroidism occurs in most patients with CKD and can persist after kidney transplant in up to 66% of patients, despite an initial decrease in parathyroid hormone levels. Parathyroidectomy and medical management are the options for treatment of secondary hyperparathyroidism, but there is no randomized, controlled trial providing clear recommendations for optimal management, and patient-specific factors should be considered. Obesity is the most common metabolic disorder affecting the transplant population in both the pre- and post-transplant phases of care. Not only does obesity have associations and interactions with comorbid illnesses, such as diabetes, dyslipidemia, and cardiovascular disease, all of which increase morbidity and mortality post-transplant, but it also is intimately inter-related with access to transplantation for patients with kidney failure. We review these metabolic disorders and their management, including data in patients with kidney transplants.
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Affiliation(s)
- Elizabeth Cohen
- Department of Pharmacy, Yale-New Haven Hospital, New Haven, Connecticut
| | - Maria Korah
- Yale University School of Medicine, New Haven, Connecticut
| | - Glenda Callender
- Department of Surgery, Section of Endocrine Surgery, Yale University, New Haven, Connecticut
| | | | - Danielle Haakinson
- Department of Surgery, Section of Transplant, Yale University, New Haven, Connecticut
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Accurate prediction of glucose concentration and identification of major contributing features from hardly distinguishable near-infrared spectroscopy. Biomed Signal Process Control 2020. [DOI: 10.1016/j.bspc.2020.101923] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Abstract
BACKGROUND The evolution of glycemic changes after kidney transplantation has not been described. We prospectively examined glycemic control and variability over time from transplantation using continuous glucose monitoring (CGM). METHOD Continuous glucose monitoring devices were fitted for 3 to 5 days at time of transplant, month 3, and month 6 posttransplant. Indices of glucose control (mean glucose, percent time in hyperglycemic range, and Glycemic Risk Assessment Diabetes Equation score) and variability were calculated. An oral glucose tolerance test was performed at month 3. RESULTS Twenty-eight patients (mean age, 45 ± 15 years) were enrolled, 64% male, 75% white, receiving tacrolimus, mycophenolate, and prednisolone (93%). Of 24 patients with complete CGM data at month 0, 3 had prior diabetes and 6 (25%) developed new-onset diabetes after transplant (NODAT). Hyperglycemia (>11.1 mM) was evident in 79% during days 0 to 3 posttransplant, particularly between 1 and 9 PM. Compared with recipients without diabetes, recipients with prior diabetes had higher mean glucose (7.8 mM; 95% confidence interval [CI], 7.4-8.2 vs 9.9 mM; 95% CI, 8.9-10.8; P < 0.001), Glycemic Risk Assessment Diabetes Equation (GRADE) score (4.5; 95% CI, 3.7-5.4 vs 7.8; 95% CI, 5.6-10.4; P = 0.003) and percent time with hyperglycemia. Glycemic control was also inferior in those that subsequently developed NODAT (mean glucose, 8.8 mM; 95% CI, 8.2-9.4; P = 0.004, GRADE: 6.2, 95% CI, 5.2-7.7; P = 0.04 vs no diabetes). Glucose variability was increased in patients with prior diabetes (glucose standard deviation, 1.99; 95% CI, 1.72-2.27 vs 2.97; 95% CI, 2.27-3.67; P = 0.006) but not in NODAT. All measures of glucose control and variability significantly improved over time after transplantation (P < 0.001). CONCLUSIONS Dysglycemia is very common after renal transplantation, exhibiting a distinct diurnal pattern of afternoon and evening hyperglycemia. The magnitude of hyperglycemia and variability are maximal in recipients with preexisting diabetes and significant in those who go on to develop NODAT. Dysglycemia improves with time.
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Jin HY, Lee KA, Kim YJ, Park TS, Lee S, Park SK, Hwang HP, Yang JD, Ahn SW, Yu HC. The Degree of Hyperglycemia Excursion in Patients of Kidney Transplantation (KT) or Liver Transplantation (LT) Assessed by Continuous Glucose Monitoring (CGM): Pilot Study. J Diabetes Res 2019; 2019:1757182. [PMID: 31886275 PMCID: PMC6900943 DOI: 10.1155/2019/1757182] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 10/18/2019] [Accepted: 11/04/2019] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE This study used a continuous glucose monitoring system (CGMS) to investigate the glucose profiles and assess the degree of hyperglycemic excursion after kidney or liver transplantation during the early period after operation. METHODS Patients to whom a CGMS was attached during a postoperative period of approximately one month after transplantation were included. The CGM data of 31 patients including 24 with kidney transplantation (KT) and seven with liver transplantation (LT) were analyzed. RESULTS Hyperglycemia over 126 mg/dL (fasting) or 200 g/dL (postprandial) occurred in 42.1% (8/19) and 16.7% (1/6) of KT and LT patients, respectively, during this early period after transplantation, except for patients with preexisting diabetes (5 KT, 1 LT). The average mean amplitude of glycemic excursion (MAGE) and mean absolute glucose (MAG) levels were 91.18 ± 26.51 vs. 65.66 ± 22.55 (P < 0.05) and 24.62 ± 7.78 vs. 18.18 ± 7.07 (P < 0.05) in KT vs. LT patients, respectively, in patients without preexisting DM or PTDM patients who showed normal glucose levels. Average increase from the lowest level to the peak glucose value was higher in KT patients than LT patients (P < 0.05). Conclusions. The transplanted organ also needs to be considered as an important factor affecting glucose control and the occurrence of more severe glucose excursions in patients who receive transplantation although immunosuppression agents are well-known important factors; however, our study was limited to the early posttransplantation period. Further studies involving CGM follow-up at regular intervals based on the time since transplantation are needed.
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Affiliation(s)
- Heung Yong Jin
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Medical School, Republic of Korea
- Research Institute of Clinical Medicine of Jeonbuk National University- - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Medical School, Republic of Korea
- Research Institute of Clinical Medicine of Jeonbuk National University- - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Yu Ji Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Medical School, Republic of Korea
- Research Institute of Clinical Medicine of Jeonbuk National University- - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Tae Sun Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Medical School, Republic of Korea
- Research Institute of Clinical Medicine of Jeonbuk National University- - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Sik Lee
- Research Institute of Clinical Medicine of Jeonbuk National University- - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
- Division of Nephrology, Department of Internal Medicine, Jeonbuk National University Medical School, Republic of Korea
| | - Sung Kwang Park
- Research Institute of Clinical Medicine of Jeonbuk National University- - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
- Division of Nephrology, Department of Internal Medicine, Jeonbuk National University Medical School, Republic of Korea
| | - Hong Pil Hwang
- Division of Surgery, Jeonbuk National University Medical School, Republic of Korea
| | - Jae Do Yang
- Division of Surgery, Jeonbuk National University Medical School, Republic of Korea
| | - Sung-Woo Ahn
- Division of Surgery, Jeonbuk National University Medical School, Republic of Korea
| | - Hee Chul Yu
- Research Institute of Clinical Medicine of Jeonbuk National University- - Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
- Division of Surgery, Jeonbuk National University Medical School, Republic of Korea
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Werzowa J, Pacini G, Hecking M, Fidler C, Haidinger M, Brath H, Thomas A, Säemann MD, Tura A. Comparison of glycemic control and variability in patients with type 2 and posttransplantation diabetes mellitus. J Diabetes Complications 2015; 29:1211-6. [PMID: 26264400 DOI: 10.1016/j.jdiacomp.2015.07.014] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Revised: 07/09/2015] [Accepted: 07/11/2015] [Indexed: 12/14/2022]
Abstract
AIM Posttransplantation diabetes mellitus (PTDM) is a common complication after renal transplantation leading to increased cardiovascular morbidity and mortality. In subjects with type 2 diabetes (T2DM) increased glycemic variability and poor glycemic control have been associated with cardiovascular complications. We therefore aimed at determining glycemic variability and glycemic control in subjects with PTDM in comparison to T2DM subjects. METHODS In this observational study we analyzed 10 transplanted subjects without diabetes (Control), 10 transplanted subjects with PTDM, and 8 non-transplanted T2DM subjects using Continuous Glucose Monitoring (CGM). Several indices of glycemic control quality and variability were computed. RESULTS Many indices of both glycemic control quality and variability were different between control and PTDM subjects, with worse values in PTDM. The indices of glycemic control, such as glucose mean, GRADE and M-value, were similar in PTDM and T2DM, but some indices of glycemic variability, that is CONGA, lability index and shape index, showed a markedly higher (i.e., worse) value in T2DM than in PTDM (P value range: 0.001-0.035). CONCLUSIONS Although PTDM and T2DM subjects showed similar glycemic control quality, glycemic variability was significantly higher in T2DM. These data underscore potential important pathophysiological differences between T2DM and PTDM indicating that increased glycemic variability may not be a key factor for the excess cardiovascular mortality in patients with PTDM.
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Affiliation(s)
- Johannes Werzowa
- Clinical Division of Nephrology and Dialysis, Department of Medicine 3, Medical University of Vienna, Vienna, Austria.
| | | | - Manfred Hecking
- Clinical Division of Nephrology and Dialysis, Department of Medicine 3, Medical University of Vienna, Vienna, Austria
| | - Catharina Fidler
- Clinical Division of Nephrology and Dialysis, Department of Medicine 3, Medical University of Vienna, Vienna, Austria
| | - Michael Haidinger
- Clinical Division of Nephrology and Dialysis, Department of Medicine 3, Medical University of Vienna, Vienna, Austria
| | - Helmut Brath
- Diabetes Outpatient Clinic, Health Center South, Vienna, Austria
| | | | - Marcus D Säemann
- Clinical Division of Nephrology and Dialysis, Department of Medicine 3, Medical University of Vienna, Vienna, Austria
| | - Andrea Tura
- CNR Institute of Neuroscience, Padova, Italy
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Werzowa J, Hecking M, Haidinger M, Döller D, Sharif A, Tura A, Säemann MD. The diagnosis of posttransplantation diabetes mellitus: meeting the challenges. Curr Diab Rep 2015; 15:27. [PMID: 25777999 DOI: 10.1007/s11892-015-0601-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Posttransplantation diabetes mellitus (PTDM) is a major complication after renal transplantation due to its negative impact on patient and graft survival, and affects up to 40% of renal transplant recipients. The generation of evidence regarding its optimal treatment is now progressing with some emphasis on early postoperative insulin treatment that targets β-cell failure. This therapy seems to benefit renal transplant patients but contrasts with previous PTDM guidelines that were following treatment of type 2 diabetes mellitus (DM): oral antidiabetics first, insulin last. Similarly, in the current PTDM consensus recommendations, diagnostic procedures are in accordance with the American Diabetes Association (ADA) recommendations for diagnosis of DM. PTDM and type 2 DM, however, are distinct disease entities with different pathophysiological backgrounds. This review will discuss the significance of the standard diagnostic criteria for DM in patients after renal transplantation without prior DM. In particular, the role of glycated hemoglobin (HbA1c) and oral glucose tolerance testing (OGTT) will be reviewed. In addition, the potential role of other glycated proteins and continuous glucose monitoring will be covered, although these parameters are not yet part of the consensus recommendations.
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Affiliation(s)
- J Werzowa
- Department of Internal Medicine III, Section of Nephrology and Dialysis, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria,
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Szabó A. [Change and stability in pediatrics]. Orv Hetil 2014; 155:2005-9. [PMID: 25481503 DOI: 10.1556/oh.2014.ho2509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Attila Szabó
- Semmelweis Egyetem I. sz. Gyermekgyógyászati Klinika Budapest
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9
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Abstract
PURPOSE OF REVIEW Renal transplantation in childhood is a well established procedure with excellent short-term outcomes. However, waiting times for transplantation are still relatively long if living donation cannot be performed, and long-term outcomes after transplantation have not significantly improved during the last decade. RECENT FINDINGS This review describes alternative modalities to improve donation rates such as en bloc kidney transplantation from young donors, ABO-incompatible transplantation and kidney paired donation. This review also deals with long-term post-transplant morbidities, such as follows: first, medication side-effects (metabolic syndrome, cardiovascular disease) and with the benefits of steroid and calcineurin inhibitor drug minimization; second, the deleterious impact of viral infections and their management and third, chronic antibody-mediated rejection, its therapeutic and prevention possibilities. SUMMARY Donor shortage and long-term morbidities, after transplantation, are still relevant issues in paediatric renal transplantation medicine. Significant research and efforts have been made to advance the field and create novel approaches for improvement of transplantation rates and post-transplant graft or patient survival. These modalities are to be established in the routine setting.
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Soliman A, DeSanctis V, Yassin M, Elalaily R, Eldarsy NE. Continuous glucose monitoring system and new era of early diagnosis of diabetes in high risk groups. Indian J Endocrinol Metab 2014; 18:274-282. [PMID: 24944918 PMCID: PMC4056122 DOI: 10.4103/2230-8210.131130] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Continuous glucose monitoring (CGM) systems are an emerging technology that allows frequent glucose measurements to monitor glucose trends in real time. Their use as a diagnostic tool is still developing and appears to be promising. Combining intermittent glucose self-monitoring (SGM) and CGM combines the benefits of both. Significant improvement in the treatment modalities that may prevent the progress of prediabetes to diabetes have been achieved recently and dictates screening of high risk patients for early diagnosis and management of glycemic abnormalities. The use of CGMS in the diagnosis of early dysglycemia (prediabetes) especially in high risk patients appears to be an attractive approach. In this review we searched the literature to investigate the value of using CGMS as a diagnostic tool compared to other known tools, namely oral glucose tolerance test (OGTT) and measurement of glycated hemoglobin (HbA1C) in high risk groups. Those categories of patients include adolescents and adults with obesity especially those with family history of type 2 diabetes mellitus, polycystic ovary syndrome (PCO), gestational diabetes, cystic fibrosis, thalassemia major, acute coronary syndrome (ACS), and after renal transplantation. It appears that the ability of the CGMS for frequently monitoring (every 5 min) glucose changes during real-life settings for 3 to 5 days stretches the chance to detect more glycemic abnormalities during basal and postprandial conditions compared to other short-timed methods.
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Affiliation(s)
- Ashraf Soliman
- Department of Pediatric, Alexandria University Children's Hospital, Alexandria, Egypt
| | - Vincenzo DeSanctis
- Pediatric and Adolescent Outpatient Clinic, Quisisana Hospital, 44121 Ferrara, Italy
| | - Mohamed Yassin
- Department of Hematology and Oncology, Alamal Hospital, Hamad Medical Center, Doha, Qatar
| | | | - Nagwa E Eldarsy
- Department of Pediatric, Alexandria University Children's Hospital, Alexandria, Egypt
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