INTRODUCTIONNew-onset diabetes after transplantation (NODAT) is an increasingly recognised metabolic complication of kidney transplantation that is associated with increased morbidity and mortality. This study aimed to determine the incidence of NODAT and identify risk factors for development of NODAT among kidney allograft recipients in a single centre.

MATERIALS AND METHODSWe retrospectively reviewed all kidney allograft recipients in our centre between 1998 and 2007. NODAT were determined using criteria as per American Diabetes Association guidelines. Logistic regression analyses were performed to identify predictors of NODAT.

RESULTSAmong 388 patients included in the analysis, NODAT was reported in 94 patients (24.2%) after a median follow-up time of 52.1 months. The cumulative incidence of NODAT was 15.8%, 22.8% and 24.5% at 1, 3, and 5 years following transplantation. Seven clinical factors were independent predictors of NODAT: older age, HLA B13 and B15 phenotypes, use of sirolimus, acute rejections, higher pre-transplant and post-transplant (day 1) plasma glucose levels. Patients with NODAT had poorer outcomes in both graft and patient survival.

CONCLUSIONOur study demonstrates a significant risk and burden of NODAT in an Asian transplant population. Risk stratification and aggressive monitoring of blood glucose early post-transplantation is necessary to identify high-risk patients so that appropriate tailoring of immunosuppression and early institution of lifestyle modifications can be implemented.

Adult ; Blood Glucose ; analysis ; Diabetes Mellitus ; etiology ; genetics ; Female ; Graft Rejection ; complications ; HLA-B Antigens ; analysis ; Humans ; Immunosuppressive Agents ; Kidney Transplantation ; adverse effects ; Male ; Middle Aged ; Risk Factors

INTRODUCTIONWaiting times for kidney transplant are long in Singapore. Healthrelated quality of life (HRQoL) of patients might be affected as a result of the stress of the long wait and the uncertainty of being called to undergo a surgical operation. This study aimed to measure the HRQoL of patients on the kidney transplant waiting list and to identify factors which could impact on the HRQoL scores in this group of patients.

MATERIALS AND METHODSThis was a cross-sectional study of kidney transplant waiting list patients managed at a tertiary renal unit using the SF-36. A SF-36 normative calculator was used to generate HRQoL scores for the Singapore general population matched with the study cohort's age, gender and ethnicity.

RESULTSThere were 265 respondents with a response rate was 81%. Our study shows that HRQoL scores for the kidney transplant waiting list patients were lower than the population norms across all subscales and were clinically significant for General Health, Role Physical, Bodily Pain, Social Functioning and Mental Component Summary scores. Factors such as being Chinese, married, employed and undergoing haemodialysis predicted better HRQoL scores after adjusting for possible confounders. Age, gender, educational level, household income, history of kidney transplant, duration on the transplant waiting list and years on dialysis did not significantly influence SF-36 across all subscales scores.

CONCLUSIONKidney transplant waiting list patients had worse HRQoL compared to the general population. Factors such as ethnicity, marital status, employment status, and type of dialysis treatment significantly influenced patients' perception of their HRQoL.

Cross-Sectional Studies ; Female ; Health Status ; Humans ; Kidney Transplantation ; Male ; Quality of Life ; Surveys and Questionnaires ; Waiting Lists