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

Diabetologia. 2020 Mar;63(3):636-647. doi: 10.1007/s00125-019-05052-z. Epub 2019 Dec 5.

Abstract

Aims/hypothesis: The 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.

Methods: We 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.

Results: Median 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 1.3 p = 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 (r2 increment 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.

Conclusions: These 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.

Keywords: Clinical science; Epidemiology; Nephropathy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Cohort Studies
  • Diabetes Mellitus, Type 1 / complications*
  • Diabetes Mellitus, Type 1 / diagnosis*
  • Diabetes Mellitus, Type 1 / epidemiology
  • Diabetes Mellitus, Type 1 / pathology
  • Diabetic Nephropathies / diagnosis*
  • Diabetic Nephropathies / epidemiology
  • Diabetic Nephropathies / etiology
  • Diabetic Nephropathies / pathology
  • Disease Progression
  • Female
  • Glomerular Filtration Rate
  • Humans
  • Kidney Failure, Chronic / diagnosis
  • Kidney Failure, Chronic / epidemiology
  • Kidney Failure, Chronic / etiology
  • Kidney Function Tests / methods*
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prevalence
  • Prognosis
  • Renal Insufficiency, Chronic / diagnosis
  • Renal Insufficiency, Chronic / epidemiology
  • Renal Insufficiency, Chronic / etiology
  • Reproducibility of Results
  • Risk Factors
  • Scotland / epidemiology