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Record W4310104988 · doi:10.1182/blood-2022-166352

Trends in Drug Treatment of Outpatients with Acute Pulmonary Embolism - a 5-Year Retrospective Cohort Study in One Canadian Health Region

2022· article· en· W4310104988 on OpenAlexaffabout
Stephanie Young, Michael Coombs, Kwadwo Osei Bonsu, Tiffany Lee, Hai V. Nguyen, Rufaro S Chitsike

Bibliographic record

VenueBlood · 2022
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsSt. John’s Health Sciences CentreMemorial University of Newfoundland
Fundersnot available
KeywordsMedicinePulmonary embolismRetrospective cohort studyDrugCohortInternal medicineEmergency medicineIntensive care medicinePharmacology

Abstract

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INTRODUCTION Pulmonary Embolism (PE) is the third most common cardiovascular condition. The American Society of Hematology recommends the use of direct oral anticoagulants (DOACs) over parenteral anticoagulant therapy with low molecular weight heparin (LMWH (parenteral AC)) with or without a Vitamin K antagonist (VKA) for initial PE treatment. There is limited data within our Canadian health region on how these therapeutic options are being used, and the trends of use over time. METHODS We completed a retrospective cohort study of outpatients with acute PE from June 1, 2014 to May 31, 2019 in one Canadian health region servicing a population of over 300,000. We identified patients with acute PE utilizing a search strategy of the Picture Archiving and Communication System (PACS) diagnostic imaging database for positive PE, including computed tomography (CT) reports, as well as a review of ventilation-perfusion (V/Q) scanning. Imaging reports were then manually reviewed to determine the presence of acute PE. Patients were included if they were aged ≥18 years, and the PE was diagnosed as an outpatient. Patients were excluded if the PE was diagnosed during hospital admission for another condition. Data collected by chart review up to 90 days after the diagnosis of PE included drug and patient-specific characteristics, and components of the simplified Pulmonary Embolism Severity Index (sPESI). Medication treatment of patients with PE were categorized into DOACs alone, parenteral AC alone, parenteral AC transitioned to VKA, parenteral AC transitioned to DOACs, and transition between the three ACs (parenteral, VKA, DOACs). DOACs alone included initial treatment with therapeutic LMWH up to 10 days, and parenteral AC transitioned to DOACs comprised treatment with parenteral AC>10 days prior to switching to a DOAC. Data are reported as means and standard deviations for continuous variables or percentages for categorical variables. Patient characteristics and treatments are compared using chi-square and analysis of variance tests. Multinomial logistic regression was used to determine the predictors of acute PE treatment. RESULTS A total of 785 patients with PE were diagnosed as an outpatient, with mean age of 63.4 ± 15.9 years, 42.3% male, and mean weight of 92.0 ± 30.4 kg. There were 247 (31.5%) patients with a sPESI score = 0, and 521 (66.4%) were admitted to hospital for treatment of the acute PE. Treatments utilized included DOACs alone (n=281, 35.8%), parenteral anticoagulants alone (n=239, 30.4%) or combined with VKA (n=172, 21.9%), parenteral anticoagulants followed by DOACs (n=50, 6.4%) or parenteral anticoagulant combined with VKA switched to DOACs (n=43, 5.5%) (Table 1). Significant differences in patient characteristics between treatment groups included: mean age (p=0.001), mean weight (p<0.001), history of malignancy (p< 0.001), mean sPESI score (p<0.001) and low risk PE (sPESI=0) (p=<0.001), admission to hospital for PE treatment (p< 0.001) and length of stay for acute PE (p<0.001). Multinomial logistic regression showed that compared to parenteral anticoagulants alone, patients with a history of malignancy were less likely to be treated with DOACs (RR 0.06, 95% CI 0.03-0.11), parenteral anticoagulants transitioned to DOACs (RR 0.07, 95% CI 0.03-0.018), parenteral anticoagulants transitioned to VKA (RR 0.11, 95% CI 0.06 -0.20), or parenteral anticoagulants transitioned to VKA then DOACs (RR 0.05, 95% CI 0.02-0.13). Compared to parenteral anticoagulants alone, patients admitted to hospital for acute PE treatment were more likely to receive parenteral anticoagulants transitioned to VKA (RR 2.94, 95% CI 1.64 - 5.23), or parenteral anticoagulants transitioned to VKA then DOACs (RR 3.76, 95% CI 1.21 -11.65). Trends in anticoagulant use over the the period of study showed an increasing use of DOACs as initial treatment (Figure 1). CONCLUSION In our study, over a five year period, patients with acute PE and malignancy were more likely to be prescribed parenteral anticoagulation alone compared to other treatment options. Patients with acute PE admitted to hospital were more likely to be prescribed parenteral anticoagulants transitioned to VKA, or parenteral anticoagulants transitioned to VKA then switched to DOACs. The use of DOACs trended upwards for treatment of acute PE over the time period examined. Further analysis is ongoing to determine additional clinical and economic outcomes. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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)0.001
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 score0.035
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
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 head0.017
GPT teacher head0.259
Teacher spread0.243 · 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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Citations0
Published2022
Admission routes2
Has abstractyes

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