Development of a Combined Risk Assessment Model for Venous Thromboembolism and Bleeding in Hematopoietic Stem Cell Transplantation Patients
Notice bibliographique
Résumé
Background: Venous thromboembolism (VTE) and bleeding are common complications amongst allogeneic and autologous hematopoietic stem cell transplant (HSCT) patients. Balancing risk of bleeding and thrombosis in this population is particularly challenging as HSCT patients are concurrently pancytopenic and coagulopathic. However, risk factors for bleeding and thrombosis in HSCT patients are understudied. We aimed to derive a combined bleeding and VTE risk assessment tool to be used in the immediate post-transplant period (90 days). Methods: We conducted a retrospective cohort study of adult patients who underwent allogeneic or autologous HSCT between January 1, 2011 and December 31, 2021 at a tertiary care centre in Canada. The risk models patients were followed from transplant until occurrence of the event of interest with last follow up at Day 90 post-transplant, or death. Primary outcome for VTE was the occurrence of a confirmed thrombosis including proximal upper and lower extremity deep vein thrombosis, pulmonary embolism, or thrombosis of unusual sites, including cerebral and splanchnic. Primary outcome for bleeding was the occurrence of a major or clinically significant non-major bleeding event, not related to anticoagulation, as per the definition of the International Society of Thrombosis and Hemostasis. Group characteristics were compared using chi-square, Fisher's exact, or Student's T-tests as appropriate. Potential predictors for VTE and bleed amongst our patients were evaluated using single variable logistic regression and confirmed with multiple variable logistic regression with forward selection. For continuous variables, optimal cut-off points were estimated using ROC curves. Final VTE and bleed risk scores were derived based on weighted variables and compared using Cox regression with non-parametric bootstrapping used for internal validation. Results: A total of 476 patients (317 autologous, 159 allogeneic) were included. 47 patients (9.8%) suffered from VTE, and 32 patients (6.7%) suffered from bleed unrelated to anticoagulation within 90 days post-HSCT. A VTE risk assessment tool was derived, and internally validated, and it included: second central venous catheter insertion (due to complications from first central line) (2 points), and previous cancer treatment with steroids (1 point). The overall cumulative incidence of VTE was 31.8% in the high-risk group (>2 points) versus 7.6% in the low-risk group (0-1 points). The high-risk group was associated with higher mortality at 90 days (15.9% versus 3.2%, p <0.001; Figure 1). A bleeding risk assessment tool was also derived, and internally validated, and it included: baseline (day 0 of transplant) platelet count of <90 (1 point), and baseline hemoglobin of <96 (1 point). The overall cumulative incidence of bleed was 17.2% in the high-risk group (2 points), versus 4.3% in the low-risk group (0-1 points). The high-risk group was associated with higher mortality at 90 days (12.6% versus 2.6%, p<0.001). Amongst the low-risk bleed group, overall cumulative incidence of VTE was 10.03%, with 31.03% in the high-risk VTE group versus 8.33% in the low-risk VTE group (p<0.001). The positive VTE group was associated with higher mortality at 90 days (10.26% versus 1.72%, p=0.001; Figure 2). Amongst the high-risk bleed group, overall cumulative incidence of VTE was 9.19%, with 33.33% in the high-risk VTE group, versus 4.17% in the low-risk VTE group (p<0.001). The positive VTE group was associated with higher mortality at 90 days (37.5% versus 10.13%, p=0.026). Conclusion: We derived a predictive score, VTE and Bleeding in Marrow Transplant (VBMT) - risk score, for both VTE and bleeding in the immediate post-transplant period (90 days), to be used in conjunction with other criteria for bleeding and thrombosis. Amongst the low-risk bleed patients, we recommend strong consideration of chemical VTE prophylaxis, especially amongst the high-risk VTE group. These risk assessment models will help stratify patients based on bleed and thrombosis risk, and ultimately help guide VTE prophylaxis and surveillance strategies amongst HSCT patients.
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 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 | 0,004 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 ».