MétaCan
Menu
Back to cohort
Record W2618418341 · doi:10.1093/ndt/gfx170.mp385

MP385RENIN-ANGIOTENSIN-ALDOSTERONE SYSTEM INHIBITOR PRESCRIPTION PATTERNS IN HEMODIALYSIS PATIENTS: RESULTS FROM THE INTERNATIONAL DIALYSIS OUTCOMES AND PRACTICE PATTERNS STUDY (DOPPS)

2017· article· en· W2618418341 on OpenAlexaboutno aff
Hairong Xu, Akhtar Ashfaq, Angelo Karaboyas, Francesca Tentori, Michel Jadoul, Francesco Locatelli, Hiroyasu Yamamoto, Bruce Robinson

Bibliographic record

VenueNephrology Dialysis Transplantation · 2017
Typearticle
Languageen
FieldMedicine
TopicPotassium and Related Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemodialysisMedical prescriptionDialysisAldosteroneInternal medicineIntensive care medicineRenin–angiotensin systemPharmacologyBlood pressure

Abstract

fetched live from OpenAlex

INTRODUCTION AND AIMS: Many hemodialysis (HD) patients have one or more indication for prescription of a renin-angiotensin-aldosterone system inhibitor (RAASi), including hypertension (HTN) or congestive heart failure (CHF); however, use of these drugs may be limited by adverse events such as hyperkalemia. We evaluated variation in real-world RAASi prescription patterns in an international cohort of HD patients. METHODS: We analysed RAASi prescription in a cross-section of HD patients enrolled in phases 2-5 (2002-2015) of the Dialysis Outcomes and Practice Patterns Study (DOPPS). Patients were stratified by length of time on HD (short-term HD [ST; <120 days] and long-term HD [LT; >120 days]) and region (N. America [US and Canada], Europe/Australia/New Zealand [E/A/NZ], and Japan). Baseline RAASi prescription was assessed overall, by comorbidities (diabetes, CHF, HTN, as based on medical history collected at study entry), and by serum potassium (K+) level. RESULTS: A total of 11,710 and 37,852 patients comprised the ST and LT groups, respectively. The majority of ST and LT patients had comorbid HTN (86% and 83%, respectively); many also had diabetes (49% and 42%) and CHF (30% for both). In 2012-2015, RAASi prescriptions were more prevalent in Japan (58% for ST and 49% for LT) than other regions (N. America: 31% [ST] and 39% [LT]; E/A/NZ: 40% [ST] and 34% [LT]). The type of RAASi drug prescribed varied by region. From 2012-2015, in ST patients in N. America, E/A/NZ, and Japan, respectively, angiotensin-converting enzyme inhibitors (ACEi) were prescribed as single therapy to 19%, 17%, and 2%, angiotensin II receptor blockers (ARB) to 10%, 18%, and 50%, and ACEi + ARB to 0%, 2%, and 4%. Prescription patterns across regions were consistent among LT patients. In all regions, RAASi prescriptions appear to be more common in ST and LT patientswith serum K+ <5.0 vs. >5.0 mEq/L. More ST and LT patients with diabetes and HTN received RAASi than patients without these comorbidities across all regions; this trend did not hold true for CHF (Figure). MP385 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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.012
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.268
Teacher spread0.253 · 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 teacher head, 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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueNephrology Dialysis TransplantationSame topicPotassium and Related DisordersFrench-language works237,207