Predicting renal disease progression in a large contemporary cohort with type 1 diabetes mellitus

• DOI: 10.1007/s00125-019-05052-z
• Publication Date: 2019-12-05T18:02:46Z
• Authors: Marco Colombo; Stuart J. McGurna...; Samira Bell; Finlay MacKenzie; Alan W. Patrick; John R. Petrie; John A. McKnight; Sandra MacRury; Jamie Traynor; Wendy Metcalfe; Paul M. McKeigue; Helen M. Colhoun
• Keywords: Adult; Male; Epidemiology; 610; 613; Kidney Function Tests; name=Internal Medicine; Article; Cohort Studies; 03 medical and health sciences; Clinical science; 0302 clinical medicine; Predictive Value of Tests; Risk Factors; /dk/atira/pure/subjectarea/asjc/2700/2724; Prevalence; Humans; Diabetic Nephropathies; Renal Insufficiency, Chronic; Aged; Reproducibility of Results; Middle Aged; Prognosis; Nephropathy; 3. Good health; Diabetes and Metabolism; Diabetes Mellitus, Type 1; Scotland; /dk/atira/pure/subjectarea/asjc/2700/2712; Disease Progression; Kidney Failure, Chronic; Female; name=Endocrinology; Glomerular Filtration Rate

AbstractAims/hypothesisThe aim of this study was to provide data from a contemporary population-representative cohort on rates and predictors of renal decline in type 1 diabetes.MethodsWe used data from a cohort of 5777 people with type 1 diabetes aged 16 and older, diagnosed before the age of 50, and representative of the adult population with type 1 diabetes in Scotland (Scottish Diabetes Research Network Type 1 Bioresource; SDRNT1BIO). We measured serum creatinine and urinary albumin/creatinine ratio (ACR) at recruitment and linked the data to the national electronic healthcare records.ResultsMedian age was 44.1 years and diabetes duration 20.9 years. The prevalence of CKD stages G1, G2, G3 and G4 and end-stage renal disease (ESRD) was 64.0%, 29.3%, 5.4%, 0.6%, 0.7%, respectively. Micro/macroalbuminuria prevalence was 8.6% and 3.0%, respectively. The incidence rate of ESRD was 2.5 (95% CI 1.9, 3.2) per 1000 person-years. The majority (59%) of those with chronic kidney disease stages G3–G5 did not have albuminuria on the day of recruitment or previously. Over 11.6 years of observation, the median annual decline in eGFR was modest at −1.3 ml min−1[1.73 m]−2 year−1(interquartile range [IQR]: −2.2, −0.4). However, 14% experienced a more significant loss of at least 3 ml min−1[1.73 m]−2. These decliners had more cardiovascular disease (OR 1.9,p = 5 × 10−5) and retinopathy (OR 1.3p = 0.02). Adding HbA1c, prior cardiovascular disease, recent mean eGFR and prior trajectory of eGFR to a model with age, sex, diabetes duration, current eGFR and ACR maximised the prediction of final eGFR (r2increment from 0.698 to 0.745,p < 10−16). Attempting to model nonlinearity in eGFR decline or to detect latent classes of decliners did not improve prediction.ConclusionsThese data show much lower levels of kidney disease than historical estimates. However, early identification of those destined to experience significant decline in eGFR remains challenging.