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Enregistrement 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 sur OpenAlexaffabout
Stephanie Young, Michael Coombs, Kwadwo Osei Bonsu, Tiffany Lee, Hai V. Nguyen, Rufaro S Chitsike

Notice bibliographique

RevueBlood · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueVenous Thromboembolism Diagnosis and Management
Établissements canadiensSt. John’s Health Sciences CentreMemorial University of Newfoundland
Organismes subventionnairesnon disponible
Mots-clésMedicinePulmonary embolismRetrospective cohort studyDrugCohortInternal medicineEmergency medicineIntensive care medicinePharmacology

Résumé

récupéré en direct d'OpenAlex

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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,035
Score d'incertitude au seuil0,111

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,007
Études des sciences et des technologies0,0020,001
Communication savante0,0020,001
Science ouverte0,0020,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,017
Tête enseignante GPT0,259
Écart entre enseignants0,243 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission2
Résumé présentoui

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