Associations of ABC (Hemoglobin A1c, Blood Pressure and Low-Density Lipoprotein Cholesterol) Goal Achievement With Chronic Kidney Disease in Type 2 Diabetic Patients With Preserved Kidney Function
Bibliographic record
Abstract
Background: We investigated cross-sectional and prospective associations of ABC (hemoglobin A1c (HbA1c), blood pressure and low-density lipoprotein cholesterol) goal attainment with chronic kidney disease. Cross-sectional association with carotid intima-media thickness (IMT) was evaluated as well. Methods: Prevalence of low estimated glomerular filtration rate (eGFR < 60 mL/min/1.73 m 2 ) and albuminuria (urinary albumin-to-creatinine ratio (ACR) ? 30 mg/g) were assessed at baseline and after a median follow-up of 6.0 years in 168 patients with type 2 diabetes with preserved kidney function (aged 62.3 years, 53.6% men). Carotid IMT was measured at baseline only. Results: At baseline, 47 (28.0%), 45 (26.8%), 63 (37.5%) and 13 (7.7%) patients achieved triple-goal, dual-goal, single-goal and no-goal, respectively. Achieving more ABC targets was associated with lower log ACR (P < 0.01), lower percentage of albuminuria (P = 0.02), and lower carotid IMT (P < 0.01) at baseline. Over 6.0 years, eGFR decreased from 76 ± 16 to 67 ± 18 mL/min/1.73 m 2 (P < 0.01) whereas ACR levels did not change. There were 32 patients with incident reduced eGFR, eight with GFR stage progression, 15 with progression of albuminuric stages and five with doubling of ACR within the microalbuminuric range. Achieving more ABC targets decreased the percentage of deterioration of GFR stages (30.8%, 28.6%, 24.4% and 14.9%, respectively, P = 0.01). Achieving two or more (8.9% and 8.5%, respectively) compared with one or less ABC targets (15.4% and 15.9%, respectively) was associated with less deterioration of albuminuria (P < 0.001). Although achieving more ABC targets was associated with lower annual decline in eGFR, the difference was not significant. Conclusions: ABC goal achievement has shown cross-sectional and prospective associations with deterioration of chronic kidney disease in type 2 diabetic patients with preserved kidney function. Cross-sectional association with carotid IMT has been demonstrated as well. Reaching more ABC treatment targets may be important for preventing adverse renal outcomes. J Clin Med Res. 2019;11(12):818-824 doi: https://doi.org/10.14740/jocmr4001
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".