Development of Renal Disease in People at High Cardiovascular Risk
Bibliographic record
Abstract
In people with diabetes, renal disease tends to progress from microalbuminuria to clinical proteinuria to renal insufficiency. Little evidence has been published for the nondiabetic population. This study retrospectively analyzed changes of proteinuria over 4.5 yr in the HOPE (Heart Outcomes and Prevention Evaluation) study, which compared ramipril's effects to placebo in 9297 participants, including 3577 with diabetes and 1956 with microalbuminuria. This report is restricted to 7674 participants with albuminuria data at baseline and at follow-up. Inclusion criteria were known vascular disease or diabetes plus one other cardiovascular risk factor, exclusion criteria included heart failure or known impaired left ventricular function, dipstick-positive proteinuria (>1+), and serum creatinine >2.3 mg/dl (200 microM). Baseline microalbuminuria predicted subsequent clinical proteinuria for the study participants overall (adjusted odds ratio [OR], 17.5; 95% confidence interval [CI], 12.6 to 24.4), in participants without diabetes (OR, 16.7; 95% CI, 8.6 to 32.4), and in participants with diabetes (OR, 18.2; 95% CI, 12.4 to 26.7). Any progression of albuminuria (defined as new microalbuminuria or new clinical proteinuria) occurred in 1859 participants; 1542 developed new microalbuminuria, and 317 participants developed clinical proteinuria. Ramipril reduced the risk for any progression (OR, 0.87; 95% CI, 0.78 to 0.97; P = 0.0146). People without and with diabetes who are at high risk for cardiovascular disease are also at risk for a progressive rise in albuminuria. Microalbuminuria itself predicts clinical proteinuria in nondiabetic and in diabetic people. Ramipril prevents or delays the progression of albuminuria.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".