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Oral Anticoagulation Treatment and Persistence After Venous Thromboembolism In a Real World Population: The Q-VTE Study Cohort

2013· article· en· W2523753771 on OpenAlexaffabout
Vicky Tagalakis, Valérie Patenaude, Susan R. Kahn, Samy Suissa

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineCohortVenous thromboembolismMedical prescriptionPopulationPediatricsInternal medicinePulmonary embolismCohort studyVitamin K antagonistDiagnosis codeIntensive care medicineEmergency medicineThrombosisWarfarinAtrial fibrillation

Abstract

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Abstract Background For patients who are diagnosed with venous thromboembolism (VTE) provoked by transient risk factors, clinical guidelines typically recommend 3 months of oral anticoagulation, with longer treatment considered for unprovoked VTE. Describing treatment patterns of VTE in a real world population may identify remedial gaps in patient care. Aim We aimed to characterize oral anticoagulant treatment with vitamin K antagonists (VKA) following incident VTE and assess persistence of VKA therapy in patients with provoked vs. unprovoked VTE in a real world setting. Methods We used the linked administrative healthcare databases of the province of Québec, Canada, including the hospitalization, universal healthcare services, and out-patient prescription databases. We identified all beneficiaries with an incident DVT or PE between 2000 and 2009, which we classified as definite or probable VTE using a priori determined diagnostic algorithms based on ICD-9-CM or ICD-10-CA diagnosis codes. We formed two patient cohorts, one with definite and the other including definite or probable first-time VTE, that were followed until death or end of study (December 31, 2009). Anticoagulant out-patient prescription patterns were analyzed for both patient cohorts. Results From 245,452 Québec residents between 2000 and 2009 with at least 1 VTE diagnosis in RAMQ or MED-ÉCHO, we formed the definite VTE cohort including 40,776 definite cases and the any VTE cohort consisting of 54,803 definite or probable cases. From the 40,776 patients with a first definite VTE, there were 24,860 patients with DVT alone (61%) and 15,916 with PE with or without DVT (39%). Furthermore, there were 78% of patients over the age of 60 and 58.3% of patients were women. In all, 8,998 (22.1%) patients had an unprovoked VTE event while 19,010 (46.6%) patients had a provoked non-cancer event. Similar findings were found in the any VTE cohort. Among definite VTE cohort patients with a provoked non-cancer VTE, 68.6% of patients received anticoagulation after the VTE event. Most were dispensed VKA (64.9%) and 23.9% received a prescription for low molecular weight heparin (LMWH). Among patients with an unprovoked VTE, 86.3% of patients were prescribed anticoagulation (84.5% used VKA and 39.9% used LMWH). Overall, a greater number of patients received anticoagulation following PE (85.2%) than DVT alone (66.2%). Results were similar in the any VTE cohort. Persistence with VKA therapy among patients with provoked VTE was 86.9% at 90 days, 59.5% at 180 days and 19.9% at 365 days. Treatment persistence for patients with unprovoked non-cancer VTE was 88.8%, 66.8% and 22.9% for 90, 180 and 365 days, respectively. Similar findings were found in the any VTE cohort. Conclusions Our study provides useful information on VTE management in a real world population. Treatment persistence was similar for patients with provoked and unprovoked VTE. VKA therapy duration after provoked VTE was longer than the recommended 3 months, whereas treatment was shorter than suggested in patients with unprovoked VTE. Further investigation is needed to determine reasons for non-adherence to clinical guidelines. Disclosures: No relevant conflicts of interest to declare.

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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)0.001
metaresearch head score (Gemma)0.003
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 score0.700
Threshold uncertainty score0.605

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.277
Teacher spread0.251 · 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
Published2013
Admission routes2
Has abstractyes

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