Rapid GFR decline is associated with renal hyperfiltration and impaired GFR in adults with Type 1 diabetes
Bibliographic record
Abstract
BACKGROUND: Rapid glomerular filtration rate (GFR) decline (>3 mL/min/1.73 m(2)) is an increasingly recognized high-risk diabetic nephropathy (DN) phenotype in Type 1 diabetes. Rapid GFR decline is a recognized predictor of impaired GFR (<60 mL/min/1.73 m(2)). However, the association between rapid GFR decline and renal hyperfiltration is not well described in Type 1 diabetes. We hypothesized that renal hyperfiltration (estimated glomerular filtration rate, eGFR ≥ 120 mL/min/1.73 m(2)) would predict rapid GFR decline over 6 years and that rapid GFR decline would predict impaired GFR at 6 years in adults with Type 1 diabetes. METHODS: GFR was calculated by chronic kidney disease epidemiology (CKD-EPI) creatinine in 646 adults with Type 1 diabetes in the coronary artery calcification in Type 1 diabetes study. Logistic multivariable models were employed to investigate the relationships between renal hyperfiltration and rapid GFR decline, and rapid GFR decline and incident impaired GFR over 6 years. RESULTS: Renal hyperfiltration predicted greater odds of rapid GFR decline over 6 years [odds ratio (OR): 5.00, 95% confidence interval (CI): 3.03-8.25, P < 0.0001] adjusting for hemoglobin A1c (HbA1c), systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), sex, duration, log of albumin/creatinine ratio and estimated insulin sensitivity. Furthermore, rapid GFR decline predicted greater odds of incident impaired eGFR (OR: 15.99, 95% CI 2.34-114.37, P = 0.006) in a similarly adjusted model. Sensitivity analyses with GFR calculated by CKD-EPI combined creatinine and cystatin C, and renal hyperfiltration defined as ≥135 mL/min/1.73 m(2) yielded similar results. CONCLUSIONS: In adults with Type 1 diabetes, rapid GFR decline over 6 years was associated with baseline renal hyperfiltration and incident GFR impairment. These observations may suggest an intermediate and predictive role of rapid GFR decline in the progression of DN.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".