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Enregistrement W4389231445 · doi:10.1182/blood-2023-190270

Rates and Predictors of Prophylaxis in Women with Von Willebrand Disease and Heavy Menstrual Bleeding

2023· article· en· W4389231445 sur OpenAlexaffabout
Michelle Millions, Jaclyn Shelton, Haowei Sun

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésMedicineDilation and curettageDesmopressinHysterectomyRetrospective cohort studyVon Willebrand diseaseGynecologyBlood transfusionObstetricsInternal medicinePediatricsVon Willebrand factorSurgeryPregnancy

Résumé

récupéré en direct d'OpenAlex

Background: Women with von Willebrand disease (vWD) suffer from heavy menstrual bleeding (HMB) often complicated by iron deficiency anemia (IDA) and reduced quality of life. Despite the American Society of Hematology (ASH) recommendations for long-term prophylaxis in patients with severe frequent bleeds, prophylaxis remains under-utilized in women with severe HMB. Given the scarcity of data on management of gynecological bleeding, it is critical to examine our practice patterns and identify factors associated with prophylaxis use. Aims: 1) To evaluate the management and outcomes of gynecological bleeding in vWD, including rates of desmopressin (DDAVP) and vWF prophylaxis for HMB and predictors of their use. 2) To examine the association between prophylaxis and severe HMB. Methods: This retrospective cohort study included women ≥18 years diagnosed with vWD in the Northern Alberta Bleeding Disorders Program. We assessed the rates of HMB, severe HMB and IDA, along with their management strategies. Prophylaxis rates with DDAVP and vWF concentrates, as well as predictors of their use, were examined. Severe HMB was defined as HMB requiring Emergency Department (ED) visits, hospitalizations, blood transfusions, or surgical management (dilation & curettage [D&C], endometrial ablation or hysterectomy). IDA was defined as ferritin <30 mcg/L and hemoglobin <120 g/L. Logistic regression was used to examine factors associated with severe HMB. Variables with P-value <0.20 on univariate regression were included in multivariable regression. Results: 168 women were evaluated with a median age of vWD diagnosis of 27 years (IQR 18-38): 140 (81%) type 1, 23 (13%) type 2, and 5 (3%) type 3 vWD. Among those with type 1 vWD, 43 (31%) had baseline vWF levels <0.30 IU/ml, 94 (67%) had vWF levels of 0.30-0.49 IU/ml, and 3 (2%) had missing values. DDAVP response was assessed in 124/140 (89%) type 1 vWD and 13/23 (57%) type 2 vWD. There were 145 (86%) women with HMB, managed most commonly by tranexamic acid (TXA) (112; 77%), followed by hormonal therapy (73; 50%), subcutaneous DDAVP (40; 28%), and levonorgestrel intrauterine system (39; 26%). vWF prophylaxis was used in only 11 (8%) women. Surgical procedures for HMB were common including hysterectomy (28; 19%), endometrial ablation (15; 10%) and D&C (15; 10%). Over a quarter (39; 27%) received iron infusions. Of the 65 (45%) women with a history of IDA, 6 (9%) had persistent IDA >5 years, 6 (9%) had IDA lasting 2-5 years and 53 (65%) had IDA corrected within 2 years. Prophylaxis rates did not differ between the 68 (40%) women with severe HMB and the 77 (53%) with non-severe HMB, with comparable rates of VWF use (9% vs 6%, P=0.60). Compared with women who never received prophylaxis, those who received DDAVP or vWF prophylaxis were more likely to have received TXA (93% vs 70%, P=0.003), iron infusions (43% vs 19%, P=0.004) and to have been diagnosed before 2000 (22% vs 7%, P=0.03) (Table 1). Though non-significant, a higher proportion of type 3 vWD (9% vs 1%, P=0.06) and higher ISTH-BAT (median 8 vs 7, P=0.07) were observed in prophylaxis recipients. On multivariable logistic regression, time from first bleeding symptom to diagnosis (adjusted odds ratio [aOR] 1.04, 95% CI 1.01-1.07) and prophylactic DDAVP use (aOR 2.4, 95% 1.01-5.6) were associated with severe HMB. There was a non-significant trend towards lower odds of severe HMB in patients diagnosed in 2000-2010 and 2011-2021 as compared to pre-2000 (aOR 0.3, 95% 0.1-1.0). Diagnosis before age 18, vWD type and baseline vWF activity were not associated with severe HMB. Conclusion: Women with vWD experience high rates of HMB and its associated complications. In our study, there was a relatively high uptake of DDAVP prophylaxis, however vWF prophylaxis was under-utilized even in those with severe HMB. We failed to demonstrate an impact of either prophylactic therapy on severe HMB, though this may be due to confounding by indication. There was a significant association between prophylactic DDAVP and vWF with other quality of care indicators including TXA and iron infusions. It is unclear if this association is related to practice patterns or patient factors such as access to care or preference for early definitive treatment. Overall, our findings highlight a need to further understand the barriers to prophylaxis use and to consider earlier prophylaxis for severe HMB to decrease bleeding complications and the need for resource-intensive therapies.

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)0,003
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 enseignants0,034
Score d'incertitude au seuil0,067

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,003
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 savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,008
Tête enseignante GPT0,233
Écart entre enseignants0,225 · 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

Citations1
Publié2023
Routes d'admission2
Résumé présentoui

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