Renal function decline and heart failure hospitalisation in patients with type 2 diabetes: Dynamic predictions from the prospective SURDIAGENE cohort

Published:November 11, 2022DOI:



      For type 2 diabetes persons, we assessed the association between renal function decline and heart failure hospitalisation (HFH) and validated dynamic HFH predictions (DynHFH) based on repeated estimated Glomerular Filtration Rate (eGFR) values.


      We studied 1413 patients from the SURDIAGENE cohort. From a joint model for longitudinal CKD-EPI measures and HFH risk, we calculated the probability of being HFH-free in the next five years.


      The mean eGFR decline was estimated at 1.48 ml/min/1.73 m2 per year (95 % CI from 1.23 to 1.74). We observed that eGFR decline was significantly associated with the HFH risk (adjHR = 1.15 for an increase in yearly decline of 1 ml/min/1.73 m2, 95 % CI from 1.03 to 1.26) independently of 7 baseline variables (from clinical, biological and ECG domains). Discrimination was good along the prediction times: AUC at 0.87 (95 %CI from 0.84 to 0.91) at patient inclusion and 0.77 (95 %CI from 0.67 to 0.87) at seven years’ follow-up.


      Renal function decline was significantly associated with the HFH risk. In the era of computer-assisted medical decisions, the DynHFH, a tool that dynamically predicts HFH in type 2 diabetes persons (, might be helpful for precision medicine and the implementation of stratified medical decision-making.



      ACR (Albumin-to-Creatinine Ratio), AUC (Area Under ROC Curve), CI (Confidence Interval), CKD-EPI (Chronic Kidney Disease EPIdemiology), DynHFH (Dynamic prediction of Heart Failure Hospitalisation), eGFR (estimated Glomerular Filtration Rate), ESKD (End-Stage Kidney Disease), HDL (High-Density Lipoprotein), HFH (Heart Failure Hospitalisation), HFrEF/HFpEF (Heart Failure with reduced/preserved Ejection Fraction), HbA1C (glycated Hemoglobin), HR (Hazard Ratio), LDL (Low-Density Lipoprotein), NT-proBNP (N-terminal pro B-type Natriuretic Peptide), RECODe (Risk Equations for Complications Of type 2 Diabetes), SD (Standard Deviation), SURDIAGENE (SURvival DIAbetes and GENEtics), TRIPOD (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis)
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