Medication changes based on echocardiography in dialysis patients
Bibliographic record
Abstract
Kidney/Disease Outcome Quality Initiative (K/DOQI) guidelines recommend baseline echocardiography at the initiation of dialysis and every 3 years thereafter in patients for early detection of cardiac disease to optimize medical therapy. Because dialysis patients are at increased cardiovascular risk and thus most are already on cardioprotective medications, we hypothesize that serial screening echocardiography will not alter cardioprotective medications in dialysis patients. Retrospective analysis of medication administration of 231 dialysis patients was conducted. Patients were divided into 2 groups, those with and those without echocardiograms. Medication changes post echocardiography were compared with subjects without echocardiograms at comparable time points. The primary end point was the number of medication class changes that occurred in 2 months post echocardiography. Medication classes examined were beta blockers (BB), angiotensin converting enzyme inhibitors or angiotensin receptor blockers (ACEI/ARB), nitrates, calcium channel blockers (CCB), and statins. In the Echo group, there were 29 (19%) subjects with at least 1 medication class change post echocardiography, compared with 121 (81%) subjects without change. The number of patients on specific medication classes before and after echocardiography were BB (90 [60%] vs. 97 [65%], P=0.05), ACEI/ARB (74 [49%] vs. 82 [55%], P=0.01), nitrates (34 [23%] vs. 33 [22%], P=0.56), CCB (77 [51%] vs. 79 [53%], P=0.56), and statins (69 [46%] vs. 70 [47%], P=0.71). When compared with the No Echo group, there was no significant change in number of any medication classes. The occurrence of medication changes post echocardiography in dialysis patients is low and is not different than changes in routine care of dialysis patients without echocardiograms. Thus, serial screening echocardiography may not have added benefit to optimizing medical management of cardiovascular disease in dialysis patients. Further studies are warranted to demonstrate evidence for the use of serial screening echocardiography in this high-risk population.
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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 | 0.001 | 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) | 0.001 | 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".