Impact of Achieved Blood Pressure on Cardiovascular Outcomes in the Irbesartan Diabetic Nephropathy Trial
Bibliographic record
Abstract
Elevated arterial pressure enhances the risk for cardiovascular (CV) events in patients with diabetic nephropathy. The optimal BP and the component of the elevated BP that affect the risk have not been defined. A post hoc analysis was performed to assess the impact of achieved systolic, diastolic, and pulse pressures on CV outcomes in 1590 adults who had overt diabetic nephropathy and were enrolled in the Irbesartan Diabetic Nephropathy Trial (IDNT) and had a baseline serum creatinine above the normal range, up to 266 micromol/L (3.0 mg/dL), 24-h urine protein >900 mg/d, and at least 6 mo of follow-up. Patients were randomized to irbesartan, amlodipine, or placebo, with other antihypertensive agents to a BP goal of < or =135/85 mmHg. Progressively lower achieved systolic BP (SBP) to 120 mmHg predicted a decrease in CV mortality and congestive heart failure (CHF) but not myocardial infarctions (MI). A SBP below this threshold was associated with increased risk for CV deaths and CHF events. Achieved diastolic BP <85 mmHg was associated with a trend to increase in all-cause mortality, significant increase in MI, but decreased risk for strokes. Increased pulse pressure predicted increased all-cause mortality, CV mortality, MI, and CHF. It is concluded that achieved SBP approaching 120 mmHg and diastolic BP of 85 mmHg are associated with the best protection against CV events in these patients. BP < or =120/85 may be associated with an increase in CV events.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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".