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Enregistrement W2584115654 · doi:10.1182/blood.v126.23.1120.1120

Bleeding in Patients Receiving Low-Molecular-Weight Heparin for Cancer-Associated Thrombosis

2015· article· en· W2584115654 sur OpenAlexaffabout
Chatree Chai‐Adisaksopha, Matthew Cheah, Alfonso Iorio, Mark Crowther, Lori Ann Linkins

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueVenous Thromboembolism Diagnosis and Management
Établissements canadiensSt. Joseph’s Healthcare HamiltonSt. Joseph's HospitalMcMaster University
Organismes subventionnairesnon disponible
Mots-clésMedicineConcomitantIncidence (geometry)SurgeryLow molecular weight heparinThrombosisCancerRetrospective cohort studyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Bleeding is a major concern in patients who are treated with anticoagulants. To date, there are no studies of predictors of bleeding in cancer-associated thrombosis patients who receive extended duration low-molecular-weight heparin (LMWH). This study aims to determine the incidence and predictors of bleedings in these patients in a real-world setting. Methods: A retrospective cohort (chart review) study was conducted from January 2011 to January 2014 at Juravinski Cancer Center, Hamilton, Canada. Consecutive objectively proven venous thromboembolism (VTE) patients were included if they had active cancer and were planned to receive extended duration LMWH (longer than 4 weeks). The primary outcome measure was the incidence of clinically relevant bleeding, which was defined as bleeding that required investigation, an invasive procedure, hospital admission or withholding LMWH for greater than or equal to 3 days. Secondary outcome measures included incidence of major bleeding (defined by bleeding that was associated with drop of hemoglobin at least 20 g/L or required at least 2 units of red blood cell transfusion, bleeding in critical site or fatal bleeding) and incidence of objectively proven recurrent VTE. Results: Data were available for 1,144 patients with a median follow-up of 8.5 months. The average age (standard deviation, [SD]) of the patients was 63.6 (12.2) years, and 53.6% were female. Concomitant antineoplastic treatment consisted of chemotherapy (45.1%), radiotherapy (5.7%), targeted therapy (1.9%) and combination therapy (17.5%). No antineoplastic treatment was given during the study period to 29.7% of the patients. The cumulative incidence of clinically relevant bleeding was 4.6% at 3 months, 7.3% at 6 months and 10.3% at 12 months, Figure 1. Sites of bleeding were gastrointestinal tract (49.6%), genitourinary tract (16.2%), intracranial (9.0%), muscle and retroperitoneal (8.2%), and others (17.1%). Of the gastrointestinal bleeds, 52.3% occurred in patients who were not documented to have the GI tract as the primary site of malignancy. The cumulative incidence of major bleeding was 5.5% (1.6% of the study cohort had a fatal bleed). At the time of the bleeding event, the mean (SD) hemoglobin was 87.2 (23.1) g/L, mean platelet count (SD) was 251.8 (158.4) x109/L and 61% of patients received a red blood cell transfusion (median 2 unit [range, 1-7]). The independent predictors of bleeding in a multivariable model were hypertension, metastatic disease, prostate cancer, soft tissue sarcoma and recurrent VTE (Table 1.). The presence of brain tumour (primary or secondary) was not statistically significantly associated with an increased risk of clinically relevant bleeding. The cumulative incidence of recurrent VTE was 12.0%. Seventy-six percent of recurrent VTE occurred while patients were receiving anticoagulant therapy. Conclusions: This study suggests that predictors for clinically relevant bleeding in patients who receive extended duration LMWH for treatment of cancer-associated thrombosis include hypertension, metastatic disease, and recurrent VTE, in addition to tumour-site specific characteristics. Investigation into measures to reduce the frequency of gastrointestinal bleeding, the most common form of anticoagulant-related bleeding in both gastrointestinal cancer and non-gastrointestinal cancer, would be beneficial. Table 1. Univariate and multivariate analysis of the predictors of bleeding Variables Univariate analysis Multivariate analysis Odd ratio 95% CI Odd ratio 95% CI P-value Age <45 y 45-75 y ≥75 y Reference 1.8 1.8 Reference 0.7-4.8 0.7-4.7 N/A N/A N/A CrCl≥60 ml/min 30-60 ml/min <30 ml/min Reference 1.4 2.9 Reference 0.9-2.0 0.8-10.9 N/A N/A N/A Hypertension 1.7 1.2-2.5 1.8 1.2-2.7 0.007 Metastasis 1.8 1.2-2.8 2.0 1.3-3.1 0.003 Prostate cancer 2.5 1.1-6.0 2.6 1.1-6.3 0.036 Soft tissue sarcoma 3.0 1.2-7.8 4.0 1.5-11.0 0.006 Recurrent VTE 2.1 1.3-3.4 2.1 1.3-3.4 0.004 Abbreviations: CrCl; creatinine clearance, CI; confidence interval, VTE; venous thromboembolism, N/A; not applicable Figure 1. Cumulative risk of clinically relevant bleeding in cancer-associated thrombosis patients who received low-molecular weight heparin Figure 1. Cumulative risk of clinically relevant bleeding in cancer-associated thrombosis patients who received low-molecular weight heparin Disclosures No relevant conflicts of interest to declare.

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)0,000
score de la tête « metaresearch » (Gemma)0,002
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 enseignants0,006
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,025
Tête enseignante GPT0,286
Écart entre enseignants0,260 · 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
Publié2015
Routes d'admission2
Résumé présentoui

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