Post-transplant diabetes mellitus and renal cell cancer after renal transplantation.

BACKGROUND: Diabetes is a risk factor for cancer in the general population. However, few data are available on the association between post-transplant diabetes mellitus (PTDM) and cancer after transplantation. METHODS: We analyzed this issue in a Spanish cohort of patients without diabetes before transplantation. PTDM was diagnosed with consensus criteria at 12 months after transplantation and 12 months before the diagnosis of cancer. The association between PTDM and cancer (overall and specific types) was evaluated with regression analysis. RESULTS: During a follow-up of 12 years (interquartile range 8-14), 85 cases of 603 developed cancer (829/100 000/year) and 164 (27%) PTDM. The most frequent cancers were renal cell cancer (RCC) n = 15, 146/cases/100 000/year), lung (n = 12, 117/cases/100 000/year), colon (n = 9, 88/cases/100 000/year) and prostate (n = 9, 88/cases/100 000/year). In logistic regression, PTDM was not associated with cancer. Eight of the 164 patients with PTDM (4.9%) vs 7 of the 439 without PTDM developed RCC (1.6%) (P = .027). In multivariate analysis, PTDM was independently associated with RCC [odds ratio (OR) 2.92, confidence interval (CI) 1.03-8.27], adjusting for smoking (OR 4.020, 95% CI 1.34-12.02) and other covariates. PTDM was not associated with other types of cancer. CONCLUSIONS: Patients with PTDM must be considered a population at risk for RCC and accordingly, the subject of active surveillance.

Prediabetes is a risk factor for cardiovascular disease following renal transplantation.

Prediabetes and post-transplant diabetes mellitus affect about 20-30% of renal transplant patients. The latter is a risk factor for cardiovascular disease. However, no clear evidence linking prediabetes and cardiovascular disease is available. To study this we analyzed the impact of prediabetes on cardiovascular disease in 603 renal transplant patients followed with repeated oral glucose tests for up to five years and a long term survival evaluation. Prediabetes and post-transplant diabetes mellitus were defined at 12 months after transplantation to avoid their high reversibility rate before this period. 73 cardiovascular events were observed. The incidence of events was significantly higher in patients with either prediabetes, (17%; 0.023 person/year) or post-transplant diabetes mellitus (20%; 0.028 person/year) than in normal individuals, (7%; 0.0095 person/year). The incidence of events was comparable between prediabetes and post-transplant diabetes mellitus. Prediabetes at 12 months was a risk factor for cardiovascular events in univariate and multivariate Cox survival analyses (hazard ratio 2.24, 95% confidence interval 1.11-4.52). Prediabetes at three months and hemoglobin A1c at 12 months were not significantly associated with cardiovascular disease. Thus, prediabetes is a risk factor for cardiovascular disease in renal transplantation, a population at high risk for cardiovascular events. Since prediabetes is potentially a reversible condition, there is an opportunity to prevent cardiovascular disease in this population.

Clinical evolution of post-transplant diabetes mellitus.

BACKGROUND: The long-term clinical evolution of prediabetes and post-transplant diabetes mellitus (PTDM) is unknown. METHODS: We analysed, in this cohort study, the reversibility, stability and progression of PTDM and prediabetes in 672 patients using repeated oral glucose tolerance tests (OGTTs) for ≤5 years. RESULTS: Most patients were on tacrolimus, steroids and mycophenolate. About half developed either PTDM or prediabetes. The incidence of PTDM was 32% and bimodal: early PTDM (≤3 months) and late PTDM. Early PTDM reverted in 31%; late PTDM developed in patients with post-transplant prediabetes. The use of OGTTs was necessary to detect around half of PTDM. Pretransplant obesity was a major risk factor for early PTDM, for its persistence and for late PTDM {odds ratio [OR] 1.18 [95% confidence interval (CI) 1.09-1.28]}. At 3 months, higher HbA1c promoted [OR 2.37 (95% CI 1.38-4.06)], while insulin sensitivity protected against [OR 0.64 (95% CI 0.48-0.86)] late PTDM. At 3 months, 28% had prediabetes; of these, 36% remained stable, 43% normalized and 21% developed late PTDM. Pretransplant obesity [OR 1.20 (95% CI 1.04-1.39)] and higher HbA1c [OR 3.80 (95% CI 1.45-9.94)] at 3 months promoted while insulin sensitivity protected against [OR 0.57 (95% CI 0.34-0.95)] evolution from prediabetes to late PTDM. Immunosuppressive levels or acute rejection did not influence PTDM. Most (84%) of the patients with normal tests at 3 months remained stable without evolving into PTDM; 14% developed prediabetes. CONCLUSIONS: PTDM and prediabetes are very common in renal transplantation. Classic metabolic factors like obesity, prediabetes and insulin resistance promote the evolution of PTDM and prediabetes. Patients with normal glucose metabolism rarely develop PTDM. OGTT is necessary to detect PTDM and prediabetes and thus should be included in clinical practice.

[New nutritional screening tool for hospitalized patients with chronic kidney disease: translation, cross-cultural adaptation of Renal iNUT into Spanish and comparison with classic questionnaires]. / Nueva herramienta de cribado nutricional para pacientes hospitalizados con enfermedad renal crónica: traducción, adaptación transcultural del iNUT Renal al castellano y comparación con cuestionarios clásicos.

Introduction: Introduction: Chronic kidney disease (CKD) is characterized by its high prevalence of malnutrition, difficult to detect as it is underestimated by the usual tools. There is no valid or hospital-level nutritional screening tool in Spanish to identify patients with CKD at risk of malnutrition. Objective: to translate and accomplish the transcultural adaptation of Jackson's questionnaire (Renal Inpatient Nutrition Screening Tool [Renal iNUT]) to Spanish, which detects the risk of malnutrition in CKD inpatients and compares it with other nutritional tools. Methods: phase 1: translation, back-translation and transcultural adaptation of the questionnaire from the English to the Spanish version. A pilot test was carried out by nursing staff together with a satisfaction questionnaire. Phase 2: comparison of Renal iNUT with Malnutrition Universal Screening Tool (MUST) and Subjective Global Assessment (SGA). Results: phase 1: the nursing staff's perception was highly favorable. They found it easy or very easy to use and 90 % of them did it in a maximum of ten minutes. Phase 2: from 48 patients included, Renal iNUT detected 44 % at low risk of malnutrition, 28 % at intermediate risk and 28 % at high risk. Increased sensitivity of Renal iNUT (p < 0.007) vs MUST (62.5 vs 33.3 %) and similar specificity (87.1 vs 90.6 %) were found, together with an acceptable correlation compared to SGA (r = 0.75, 95 % CI: 0.67 to 0.83). Conclusions: the Spanish version of Renal iNUT is a useful and easy-to-understand tool for health professionals. We also confirm its good correlation with SGA, with greater sensitivity than MUST for the risk of malnutrition detection in CKD inpatients.

Introducción: Introducción: la enfermedad renal crónica (ERC) se caracteriza por su alta prevalencia de malnutrición, de difícil detección al ser subestimada por las herramientas habitualmente usadas. No existe un cribado nutricional válido a nivel hospitalario en castellano para identificar pacientes con ERC en riesgo de malnutrición. Objetivo: traducir y realizar la adaptación transcultural al castellano del cuestionario de Jackson y cols. (Renal Inpatient Nutrition Screening Tool [iNUT Renal]), que detecta el riesgo de malnutrición en pacientes con ERC ingresados, y compararlo con herramientas nutricionales clásicas. Métodos: fase 1: traducción, retrotraducción y adaptación transcultural del cuestionario en versión inglesa a la versión castellana. Prueba piloto realizada por enfermería con posterior cuestionario de satisfacción. Fase 2: comparación de iNUT Renal con Malnutrition Universal Screening Tool (MUST) y Valoración Global Subjetiva (VGS). Resultados: fase 1: la valoración de enfermería fue altamente favorable. Lo consideraron fácil o muy fácil de utilizar y el 90 % lo realizó en un máximo de diez minutos. Fase 2: de los 48 pacientes incluidos, iNUT Renal detectó un 44 % en riesgo bajo de malnutrición, 28 % en riesgo intermedio y 28 % en riesgo alto. Se halló mayor sensibilidad del iNUT Renal (p < 0,007) vs. MUST (62,5 vs. 33,3 %), similar especificidad (87,1 vs. 90,6 %) y aceptable correlación en comparación con VGS (r = 0,75, IC 95 %: 0,67-0,83). Conclusiones: la versión castellana de iNUT Renal es una herramienta útil y de fácil comprensión para el personal sanitario. Asimismo, confirmamos su buena correlación con VGS, con mayor sensibilidad que MUST para la detección del riesgo de malnutrición en el paciente con ERC ingresado.

Impact of diabetes mellitus on kidney transplant recipients in Spain.

BACKGROUND: The increasing prevalence of pre-existing diabetes mellitus (DM) and especially the incidence of post-transplant diabetes mellitus (PTDM) is a disturbing tendency with far-reaching health and cost implications. We assessed the factors associated with PTDM and the impact of either condition on death-censored graft and patient survival. METHODS: We studied 3365 adult kidney allograft recipients transplanted in 1990, 1994 and 1998, whose graft was functioning after 1 year of follow-up. Three groups were considered: Group I (DM; N = 156), Group II (PTDM; N = 251) and Group III (non-diabetic; N = 2958). RESULTS: Group I patients had been dialysed for shorter periods and received angiotensin-converting enzyme inhibitor (ACEI) or angiotensin-receptor blockers (ARB) therapy more frequently during follow-up than the other groups (P<0.001). Mean age, body weight and body mass index (BMI) were greater in Group II patients than the other groups (P<0.001). Group II showed lower rejection rates than Group III (P<0.01). Risk factors for developing PTDM were recipient age > 60 years (OR = 2.24; P<0.001), female recipient (OR = 1.5; P<0.005), recipient weight > 65 kg (OR = 1.77; P<0.002), BMI > 25 kg/m(2) (OR = 1.6; P<0.04) or > 30 kg/m(2) (OR = 2.92; P<0.005), and tacrolimus-based therapy (OR = 1.48; P<0.05). Of note, the use of Sandimmune vs Neoral had a protective effect (OR = 0.7; P<0.01). Using Cox's proportional hazards analysis, DM correlated with reduced death-censored graft survival (RR = 1.68; 95% CI = 1.14-2.47; P<0.008), while PTDM correlated with reduced patient survival (RR = 1.55; 95% CI = 1.05-2.27; P<0.02). CONCLUSIONS: One year after transplantation, DM was associated with a decrease in death-censored graft survival, while PTDM was an independent negative predictor of patient survival after kidney transplantation. New strategies to improve outcome are needed.