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Record W2617588993 · doi:10.1093/ndt/gfx170.mp371

MP371PREVALENCE OF HYPERKALEMIA IN DOPPS: A REAL-WORLD, INTERNATIONAL COHORT OF HEMODIALYSIS PATIENTS

2017· article· en· W2617588993 on OpenAlexaboutno aff
Hairong Xu, Akhtar Ashfaq, Angelo Karaboyas, Francesca Tentori, Michel Jadoul, Francesco Locatelli, Kazuhiko Tsuruya, Bruce Robinson

Bibliographic record

VenueNephrology Dialysis Transplantation · 2017
Typearticle
Languageen
FieldMedicine
TopicPotassium and Related Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHyperkalemiaHemodialysisCohortInternal medicineCohort studyIntensive care medicine

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.273
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations1
Published2017
Admission routes1
Has abstractyes

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