Cardiovascular Death in Dialysis Patients
Bibliographic record
Abstract
Cardiovascular events are the dominant cause of death in patients with ESRD. Until recently, plaque rupture due to atherogenic dyslipoproteinemias was presumed to be a major mechanism of cardiovascular events in dialysis patients. But how reasonable was that hypothesis and was it entirely discredited by the results of 4D and AURORA? This article places the conventional lipids-cholesterol and triglyceride-within the more physiologic framework of the apoB lipoproteins. Viewed from the perspective of atherogenic particle number, the failure of statins to lower cardiovascular mortality in hemodialysis patients versus the continuing potential for success in peritoneal dialysis patients becomes comprehensible. In the former, apoB is characteristically not elevated and therefore apoB-lowering therapy can have only limited effect; in the latter, apoB is characteristically high and therefore apoB-lowering therapy might have considerable clinical benefit. Nevertheless, plaque rupture is only one mechanism leading to cardiac death. In addition to those previously noted, a new mechanism is suggested for consideration-recurrent reperfusion injury. The coronaries of dialysis patients are often narrowed, the microcirculation underdeveloped, and the left ventricle hypertrophied-all of these plus transient hypotension could produce severe ischemia followed by reperfusion necrosis. The minor but common elevations of troponin that are so well known yet widely disregarded may be markers of an adverse sequence of events that could each trigger a fatal arrhythmia and tend to reduce left ventricular function. Thus sudden death due to arrhythmia and slow progressive death due to heart failure could be manifestations of reperfusion injury.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".