Baseline Characteristics of Early Enrollees in TRACK, a Prospective Study of Hyperkalemia Management Decision-Making
Bibliographic record
Abstract
Background: The TRACK study is a prospective, observational, implementation science study designed to address the evidence gap regarding healthcare provider decision-making and management of patients with hyperkalemia (HK). Methods: The study will enroll 1250 patients with HK in the US and Europe and record management decisions, treatment objectives and outcomes, HK recurrence and attainment of target renin-angiotensin-aldosterone system inhibitor (RAASi) dose during 12 months following an index episode of HK. The planned sample size provides a margin of error <3% to estimate endpoints of interest such as attainment of target doses of RAASi therapies at month 12. Eligible participants are adults with serum K+ >5.0 mmol/L collected during standard of care within 14 days prior to informed consent. Baseline characteristics of early enrollees are presented descriptively. Results: Baseline characteristics and initial HK management approach are shown for the first 62 enrollees. Chronic kidney disease (CKD) and/or heart failure was present in 90%. Mineralocorticoid receptor antagonist use was reported by 7% and other RAASi by 53%. RAASi downtitration and discontinuation during the qualifying HK episode was reported for (18%). Median K+ was 5.4 mmol/L (IQR 5.2-5.6); eGFR 26 mL/min/1.73m2 (IQR 15, 35). The most common initial management strategies for the index episode of HK, apart from monitoring serum K+, were prescription of a low K+ diet and use of K+ binders (Table). We anticipate enrolling approximately half of the planned 1250 participants for presentation at Kidney Week. Conclusions: TRACK will characterize contemporary provider decision-making in patients with HK and its impact on HK recurrence across a broad range of patient types in a variety of practice settings in the US and Europe. Funding: Commercial Support - AstraZenecaTable.: Baseline characteristics and initial management strategy in patients with hyperkalemia
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".