Impact of race on the incidence, diagnosis and outcomes of pregnancy-associated venous thromboembolism: A nested case-control study
Notice bibliographique
Résumé
Abstract Background: Venous thromboembolism (VTE) is a potentially life-threatening complication of pregnancy. While diagnostic delays are associated with worse prognosis, it remains unclear whether racialized individuals with pregnancy-associated VTE experience disparities in diagnostic workup and outcomes. We aimed to evaluate the care trajectory of patients with pregnancy-associated VTE with stratification by racial groups. Methods: We conducted a population-based, nested case-control study using administrative data holdings in Ontario, Canada. These datasets were linked using unique encoded identifiers and analyzed at ICES. We created a retrospective cohort of individuals with singleton deliveries (including stillbirths) from 2012 to 2023.We identified VTE cases up to 6 weeks postpartum based on a validated algorithm of diagnostic and imaging procedure codes. The main exposure was the birthing individual's self-reported racial group (Asian, Black, or White) recorded on their prenatal screening requisition. We first compared the incidence of pregnancy-associated VTE by racial groups. Individuals with pregnancy-associated VTE were then matched 1:10 to non-VTE controls by age, obstetrical comorbidity index, maternal body mass index, gestational age at index date, and delivery type within each racial group. We assigned the index date as date of VTE diagnosis among cases, and a pseudo-index date matched by gestational age among controls. We assessed healthcare visits in the 7 days preceding the index date (VTE diagnosis or matched pseudo-date) between cases and controls, with race as effect modifier. We then compared diagnoses provided during these visits by racial groups. Finally, we evaluated the effect of race on emergency department visits and hospitalizations in the 30 days following VTE diagnosis. Results: Among 442,816 pregnancies involving 305,326 birthing individuals (17.6% Asian, 6.5% Black, 75.9% White), we identified 1,793 imaging-confirmed VTEs (4.0 events per 1,000 pregnancies). Compared to White individuals, VTE incidence was lower among Asian individuals (adjusted risk ratio [aRR] 0.48, 95% confidence interval [CI] 0.41 – 0.57) and Black individuals (aRR 0.73, 95% CI 0.61 – 0.89). Among 1,769 VTE cases and 16,943 matched controls, VTE cases had a 17-fold increase in emergency department utilization in the 7 days prior to diagnosis [Poisson rate ratio 16.67, 95% CI 14.06 – 19.75]. While pre-diagnostic healthcare encounters were increased among cases across all racial groups, Asian and Black individuals were more likely have been discharged with a cardiorespiratory diagnosis during these encounters than White individuals (12.0% vs. 11.7% vs. 6.9% respectively, p=0.030). Emergency department visits in the 30 days after diagnosis were more likely among VTE cases across all racial groups, but disproportionately higher among Asian (odds ratio [OR] 10.6, 95% CI 6.8 – 16.6) and Black individuals (OR 12.3, 95% CI 7.4 – 20.7), compared to White individuals (OR 6.0, 95% CI 5.3 – 6.9; interaction p=0.003). Hospitalizations in the 30 days after diagnosis were increased among Black birthing individuals with VTE compared to matched controls (OR 2.90, 95% CI 1.70 – 4.97), whereas this was not observed among their Asian (OR 0.95, 95% CI 0.58 – 1.56) or White counterparts (1.12, 95% CI 0.96 – 1.25; interaction p=0.002). Interpretation: Individuals with pregnancy-associated VTE had a 17-fold higher rate of emergency department visits in the 7 days prior to imaging-confirmed diagnosis. The incidence of pregnancy-associated VTE was lower among Asian and Black birthing individuals compared to their White counterparts. However, Asian and Black birthing individuals with VTE had greater proportion of pre-diagnostic visits involving cardiorespiratory symptoms and higher unplanned acute care visits following their VTE diagnosis. These findings suggest potential missed opportunities for timely diagnosis and highlight racial disparities in quality of care for pregnancy-associated VTE.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».