MP371PREVALENCE OF HYPERKALEMIA IN DOPPS: A REAL-WORLD, INTERNATIONAL COHORT OF HEMODIALYSIS PATIENTS
Bibliographic record
Abstract
INTRODUCTION AND AIMS: Hyperkalemia (HK) is often associated with chronic kidney disease (CKD), and is a known risk factor for adverse events in patients on hemodialysis (HD). We utilized data from a real-world international study of HD patients to better understand regional variation in HK prevalence. METHODS: A cross-sectional study was performed using data from the multi-phase Dialysis Outcomes and Practice Patterns Study (DOPPS). Patients were included if they underwent in-center HD and participated in DOPPS from 2002-2015 (includes DOPPS phases 2-5). In this analysis, patients were stratified by region: N. America (United States and Canada), Europe/Australia/New Zealand (E/A/NZ), and Japan. Patients were also stratified based on the duration of HD prior to enrolment: short-term (ST; <120 days) and long-term (LT; >120 days). The proportion of patients with HK was reported within strata, based on serum potassium (K+) measured at study entry (enrolment into DOPPS): mild, (5.0-5.5 mEq/L), moderate (>5.5-6.0 mEq/L), and severe (>6.0 mEq/L). RESULTS: Data from DOPPS phase 5 (2012-2015) included 3057 and 9390 patients on ST and LT HD, respectively. The median (interquartile range) time on dialysis was 45 (10, 82) days for ST patients and 3.1 (1.3, 6.5) years for LT patients. HK was more common among LT patients than ST patients in all 3 regions, which likely reflects an increasing loss in residual renal function with prolonged time on dialysis (Figure). HK prevalence among LT patients in N. America, E/A/NZ, and Japan was 30%, 47%, and 37%, respectively, versus 16%, 29%, and 17%, respectively, among ST patients. HK prevalence was higher in E/A/NZ compared with N. America and Japan for both LT and ST patients. Likewise, in both ST and LT patients, severe HK (>6.0 mEq/L) was more common in E/A/NZ (5% and 10%, respectively) versus N. America (1% and 3%, respectively) and Japan (2% and 5%, respectively). Prevalence of mild HK was more comparable by region and duration of dialysis. Minimal differences in prevalence were observed across the DOPPS phases 2-5 (from 2002-2015) within each region. MP371 Figure
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".