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Record W3034106624 · doi:10.1093/ndt/gfaa142.p1283

P1283BASELINE CHARACTERISTICS IN THE “IPACK-HD” STUDY (INHIBIT PROGRESSION OF CORONARY ARTERY CALCIFICATION WITH VITAMIN K IN HEMODIALYSIS PATIENTS): A PHASE 2, MULTI-CENTRE, DOUBLE-BLIND, RANDOMIZED, PLACEBO-CONTROLLED PILOT TRIAL

2020· article· en· W3034106624 on OpenAlexaffabout
Corinne Babiolakis, Deborah Zimmerman, Louise Moist, Andrew G. Day, Patrick A. Norman, Mandy E. Turner, Jocelyn S. Garland, Michael A. Adams, Sarah L. Booth, Daren K. Heyland, Rachel M. Holden

Bibliographic record

VenueNephrology Dialysis Transplantation · 2020
Typearticle
Languageen
FieldNursing
TopicVitamin K Research Studies
Canadian institutionsWestern UniversityKingston Health Sciences CentreUniversity of OttawaQueen's University
Fundersnot available
KeywordsMedicineKidney diseaseHemodialysisPlaceboInternal medicineDialysisVitamin D and neurologyCoronary artery diseaseRandomized controlled trialCalcificationVitaminRandomizationSurgeryCardiologyPathology

Abstract

fetched live from OpenAlex

Abstract Background and Aims The leading cause of mortality for patients with end-stage kidney disease (ESKD) is cardiovascular disease (CVD). This is due, in part, to vascular calcification (VC) where calcium becomes deposited within arterial walls causing narrowing of the arteries and altering their flexibility. Matrix Gla protein (MGP), a vitamin k-dependent protein, is a key local inhibitor of VC and becomes up-regulated adjacent to sites of calcification. There is a very high prevalence of vitamin K deficiency in patients across the chronic kidney disease (CKD) spectrum and vitamin K has been shown to prevent VC in experimental models. To date, no trial has examined whether vitamin K supplementation prevents the progression of coronary artery calcification in patients with ESKD, a group in which high risk has been established. The aim of the iPACK-HD pilot study is to determine whether a trial to determine whether vitamin K has a favourable effect on coronary artery calcium (CAC) scores in patients with ESKD is feasible. Method The iPACK-HD pilot trial is a phase 2 multi-centre, double-blind, randomized, placebo-controlled clinical trial conducted in three sites (Kingston, Ottawa and London) in Ontario, Canada. Adult patients with ESKD on chronic dialysis with a baseline CAC score of ≥30 Agatston units (AUs) are randomized to receive 10 mg of vitamin K1 or matching placebo administered post-hemodialysis 3x/week for a total of 12 months. Exclusions include medical conditions that require anticoagulation and a history of either coronary artery bypass, grafting or stenting. Randomization is stratified based on diabetes and study centre. Baseline CAC scores are determined by computed tomography (CT) and demographic and laboratory data at study entry are obtained by participant interview and medical chart review. Results A total of 85 participants are randomized into this trial. Baseline characteristics of trial participants are reported as mean ± SD, median [IQR], or %. The mean age is 63 ± 13 years. There are a higher proportion of males (57%) than females and whites (85%) compared to all other ethnicities. Forty-four percent of participants have diabetes and 77% have hypertension. Dialysis vintage is 0.9 [0.4,2.7] years. Most participants take calcium-based phosphate binders (89%) and over half of participants take an HMG-CoA reductase inhibitor (53%) or vitamin D (61%). Clinical laboratory values are presented in Table 1. Total median CAC and volume calcium scores are 587 [252,1416] AUs and 482 [206,1170] mm3, respectively. Sixty-five (76%) participants had a study exit CT scan performed upon completion of the study. Of 156 doses, a median of 150 [123,155] were received and 2 [1,6] were missed. Conclusion Participants in the iPACK-HD study have a high burden of calcification but are similar in baseline characteristics to the Canadian hemodialysis population. Loss to trial completion is 24%, but the most frequent reason is kidney transplantation. Adherence to study drug is very high with few reported side effects.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.041
GPT teacher head0.329
Teacher spread0.288 · 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.

Study designRandomized trial
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
Published2020
Admission routes2
Has abstractyes

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