Associations of Pretransplant Diabetes Mellitus, New-Onset Diabetes After Transplant, and Acute Rejection With Transplant Outcomes: An Analysis of the Organ Procurement and Transplant Network/United Network for Organ Sharing (OPTN/UNOS) Database

Kuo, Hung-Tien; Sampaio, Marcelo Santos; Vincenti, Flavio; Bunnapradist, Suphamai

doi:10.1053/j.ajkd.2010.06.027

Cited by 118 publications

(110 citation statements)

References 20 publications

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“…22 Current investigations indeed have pointed toward a reduced risk of NODAT on major adverse events, presumably due to more thorough blood glucose monitoring posttransplant. 23,24 In line with these more recent reports, our data could not determine any association of prediabetes with reduced transplant function or graft and patient outcomes. Hyperglycemia as caused by overt diabetes can lead to insulin resistance, dyslipidemia, platelet activation, or hypertension.…”

Section: Discussionsupporting

confidence: 68%

Untitled

Tillmann

Radtke²,

Rump³

et al. 2017

Exp Clin Transplant

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Objectives: This study investigated the effect of prediabetes in long-term deceased-donor renal transplant recipients regarding graft survival, graft function, and evolution of new-onset diabetes after transplant compared with a control group of graft recipients with normal glucose tolerance test results. Materials and Methods: This was a follow-up trial of 187 deceased-donor renal transplant recipients. Based on oral glucose tolerance test results, the cohort was divided into groups A and B, comprising individuals with normal glucose metabolism (n = 130, 69.9%) and individuals with prediabetes (n = 56, 30.1%). Data are shown as means ± standard errors. Results: Both groups showed similar total transplant survival (116.8 ± 5.4 vs 114.5 ± 7.4 mo; P = .742) and transplant survival measured since oral glucose tolerance test (58.5 ± 1.4 vs 59.5 ± 1.9 mo; P = .990, Mantel-Cox P = .943). Univariate and multivariate Cox regression analyses showed no association of prediabetes with graft loss. Transplant function changes were similar between cohorts (-3 ± 1 vs -5 ± 2 mL/min/1.73 m 2 body surface area, using the Chronic Kidney Disease Epidemiology Collaboration formula; P = .538). At 5-year follow-up, recipients with prediabetes had higher hemoglobin A1c than controls (5.99% ± 0.10% vs 5.67% ± 0.04%; P = .002). Prediabetes was associated with a 4.5-fold increased hazard of new-onset diabetes after transplant (P = .021). Conclusions: Prediabetes was associated with a 4.5-fold higher hazard ratio for new-onset diabetes after transplant but not with reduced graft function or survival.

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Section: Discussionsupporting

confidence: 68%

Untitled

Tillmann

Radtke²,

Rump³

et al. 2017

Exp Clin Transplant

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“…Some studies have also reported no difference in outcome between subjects with NODAT and those without, especially in the short term. [25,26] The mean serum creatinine level and glomerular filtration rate were also similar in the two groups (Table 1).…”

Section: Riskmentioning

confidence: 66%

New-onset diabetes after transplant: Incidence, risk factors and outcome

et al. 2017

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Background. The outcome of renal transplantation depends on achieving effective immunosuppression while minimising the consequences of such treatment. The occurrence of new-onset diabetes in the post-transplant period has been associated with several risk factors including some immunosuppressive medication. Better understanding of the clinical and genetic risk factors associated with new-onset diabetes after transplant (NODAT) could enable risk stratification of patients in the pre-transplant period, with the goal of applying measures that will reduce the incidence. Objectives. To ascertain the incidence of and clinical and genetic risk factors that predispose to NODAT, and to examine its effect on the outcome of renal transplantation. Methods. We performed a retrospective cohort review of all renal transplants at Groote Schuur Hospital, Cape Town, South Africa, between 2004 and 2008. Patients who were lost to follow-up or had pre-transplant diabetes or primary non-function were excluded. A subset of the cohort who gave informed consent was enlisted for genetic tests. Results. We identified 111 patients who met the inclusion criteria. The incidence of NODAT was 18.0% (n=20 patients). Risk factors for NODAT included age at transplant (p=0.03), body weight (p=0.04), treatment for acute cellular rejection (p=0.02) and polycystic kidney disease as the cause of renal failure (p=0.005). None of the genes investigated (TCF7L2 rs11196205, rs12255372 and rs7903146 and HNF1β rs1800575, rs121918671 and rs121918672) was found to be significantly associated with the risk of NODAT. The genotype frequencies for the single-nucleotide polymorphisms studied were closer (although not identical) to those reported for Caucasians than to those reported for the Yoruba (black) population in West Africa. Overall patient survival was 78% at five years, while graft survival was 72%. There was no significant difference in patient or graft survival between the group with NODAT and the group without. Conclusions. NODAT was common in renal transplant recipients. Some risk factors predate transplant and could be used to risk-stratify patients to determine appropriate risk-reduction strategies. The genetic determinants for NODAT in this population may differ from those reported elsewhere. NODAT had no impact on patient or graft survival in this cohort.

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“…The Annual Data Report describes early post-transplant outcomes, including graft failure and function. Many researchers have used OPTN data to examine determinants of important outcomes after kidney transplantation, including death, graft failure, DGF, and acute rejection (2)(3)(4)(5)(6)(7).…”

Section: Introductionmentioning

confidence: 99%

Validating Early Post–Transplant Outcomes Reported for Recipients of Deceased Donor Kidney Transplants

Potluri

Parikh

Hall

et al. 2016

Clinical Journal of the American Society of Nephrology

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Background and objectives Data reported to the Organ Procurement and Transplantation Network (OPTN) are used in kidney transplant research, policy development, and assessment of center quality, but the accuracy of early post-transplant outcome measures is unknown.Design, setting, participants, & measurements The Deceased Donor Study (DDS) is a prospective cohort study at five transplant centers. Research coordinators manually abstracted data from electronic records for 557 adults who underwent deceased donor kidney transplantation between April of 2010 and November of 2013. We compared the post-transplant outcomes of delayed graft function (DGF; defined as dialysis in the first posttransplant week), acute rejection, and post-transplant serum creatinine reported to the OPTN with data collected for the DDS.Results Median kidney donor risk index was 1.22 (interquartile range [IQR], 0.97-1.53). Median recipient age was 55 (IQR, 46-63) years old, 63% were men, and 47% were black; 93% had received dialysis before transplant. Using DDS data as the gold standard, we found that pretransplant dialysis was not reported to the OPTN in only 11 (2%) instances. DGF in OPTN data had a sensitivity of 89% (95% confidence interval [95% CI], 84% to 93%) and specificity of 98% (95% CI, 96% to 99%). Surprisingly, the OPTN data accurately identified acute allograft rejection in only 20 of 47 instances (n=488; sensitivity of 43%; 95% CI, 17% to 73%). Across participating centers, sensitivity of acute rejection varied widely from 23% to 100%, whereas specificity was uniformly high (92%-100%). Six-month serum creatinine values in DDS and OPTN data had high concordance (n=490; Lin concordance correlation =0.90; 95% CI, 0.88 to 0.92).Conclusions OPTN outcomes for recipients of deceased donor kidney transplants have high validity for DGF and 6-month allograft function but lack sensitivity in detecting rejection. Future studies using OPTN data may consider focusing on allograft function at 6 months as a useful outcome.

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Associations of Pretransplant Diabetes Mellitus, New-Onset Diabetes After Transplant, and Acute Rejection With Transplant Outcomes: An Analysis of the Organ Procurement and Transplant Network/United Network for Organ Sharing (OPTN/UNOS) Database

Cited by 118 publications

References 20 publications

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New-onset diabetes after transplant: Incidence, risk factors and outcome

Validating Early Post–Transplant Outcomes Reported for Recipients of Deceased Donor Kidney Transplants

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