MétaCan
Menu
Back to cohort

P44 Anticoagulation control in adults with congenital heart disease

2016· article· en· W2323715540 on OpenAlexaff
Ines Uribe-Morales, Katrijn Jansen, Sue Jenkins, Candice K. Silversides, Erik Yeo, Adrienne H. Kovacs

Bibliographic record

VenueHeart · 2016
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicineVitamin K antagonistPopulationHeart diseasePediatricsAtrial fibrillationInternal medicineRetrospective cohort studyWarfarin

Abstract

fetched live from OpenAlex

<h3>Background</h3> Among patients with acquired cardiovascular disease taking oral vitamin K antagonist medications, time within therapeutic range (TTR) is considered poor when below 60%. To date, however, there are no data about anticoagulation control in adults with congenital heart disease (CHD). This is concerning given that they represent an emerging and growing population of cardiac patients with specific management considerations. <h3>Objectives</h3> In a sample of adults with CHD taking oral vitamin K antagonist medications, we investigated (i) TTR and (ii) socio-demographic and medical factors associated with lower anticoagulation control. <h3>Methods</h3> In this retrospective study, the following were study inclusion criteria: age ≥ 18 years, diagnosis of CHD, prescribed oral vitamin K antagonist medication, followed in the thrombosis clinic at least once between January 2005 and December 2010, and adequate frequency of recording of INR values. We documented medical and socio-demographic background, indication for anticoagulation therapy, international normalised ratio (INR) values, and TTR; data were recorded through December 2013. <h3>Results</h3> We identified 119 eligible patients (49% male; mean age = 39 ± 17 years; mean follow up duration = 4 ± 2.3 years). Defect complexity was categorised as simple (n = 29; 24%), moderate (n = 46, 39%) or great (n = 44; 37%). Specific indications for oral anticoagulation were cardiac arrhythmias (n = 60; 51%), prior thrombus/emboli event (n = 30; 25%), mechanical valves (n = 24; 20%), and other (n = 5; 4%). Twenty-three patients (19%) had a documented psychiatric disorder and 21 patients (18%) had a history of medication non-adherence. Of 71 patients with known educational attainment, 45 (38%) had earned college or university degrees. Of 119 study patients, the mean TTR was 49 ± 19% (range: 0–89%); 82 patients (69%) had poor anticoagulation control (TTR &lt; 60%). TTR varied significantly by disease complexity (p &lt; 0.05); TTR was lowest among patients with CHD of moderate complexity (44%) and highest among patients with CHD of simple complexity (55%). TTR was also significantly lower among patients with mechanical valves vs. those with other indications for anticoagulation (41% vs. 50%, p &lt; 0.05); 79% of patients with mechanical valves had poor anticoagulation control. TTR was significantly lower for patients for whom non-adherence was documented in the medical chart (32% vs. 52%; p &lt; 0.001). TTR did not vary as a function of age, sex, presence of psychiatric disorder, or educational attainment. <h3>Conclusions</h3> Among our study cohort of adults with CHD, patients were within therapeutic INR range only half of the time and more than two-thirds of patients had poor anticoagulation control. Poorer anticoagulation control was observed in patients with moderate defect complexity, with mechanical valves, and with a documented history of medication non-adherence. Future investigation into the clinical outcomes of sub-optimal INR control as well as the potential role of novel oral anticoagulant agents is encouraged.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.026
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.026
GPT teacher head0.295
Teacher spread0.269 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueHeartSame topicAtrial Fibrillation Management and OutcomesFrench-language works237,207