Abstract 2280: Urine Albumin/creatinine Ratio, Cardiac Structure And Diastolic Function In Patients With Hypertension And Diastolic Dysfunction: The Validd Study
Bibliographic record
Abstract
Background: Increasing urine albumin/creatinine ratio (ACR) is associated with systemic microvascular damage and increased cardiovascular morbidity and mortality. However, the relationship between albuminuria and left ventricular (LV) diastolic function, an early measure of myocardial end-organ damage in hypertension, has not been well defined. Methods: Urine ACR and echocardiographic measures of LV structure and function were assessed in 384 patients enrolled in the VALsartan In Diastolic Dysfunction (VALIDD) trial with mild hypertension and no heart failure and evidence of diastolic dysfunction based on Doppler assessment of myocardial relaxation velocities. Results: Urine ACR was undetected in 151 (39.3%) subjects, between 1 to 30 mg/g in 194 (50.5%), and > 30mg/g in 39 (10.2%). The mean blood pressure in the cohort was 143.8 ± 16.1/86.2 ± 10.3 mmHg and LV hypertrophy was present in < 4% of enrolled patients. Higher urine ACR was associated with lower annular relaxation velocity (E′), higher E/E′ (Figure ), higher prevalence of concentric LV remodeling and higher NT-ProBNP even after adjusting for age, diabetes, systolic BP, eGFR and LV mass index (LVMi) (p < 0.02 for all associations). Conclusion: Albuminuria is associated with worsening diastolic function in patients with hypertension, and both measures may represent important and modifiable markers of early end-organ damage even in patients with mild blood pressure elevation. E′ stratified by urine albumin creatinine ratio E/E′ stratified by urine albumin creatinine ratio
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".