Does Venous Thromboembolism Prophylaxis Policy Have Any Impact on Clot Risk Reduction in Hospitalized Solid Tumor Patients at Princess Margaret Cancer Centre: A Longitudinal Study?
Notice bibliographique
Résumé
Abstract Background We continued to witness a strong associations between cancer and the development of blood clots in the in-patient hospital setting. Patients are being treated for a venothromboembolism (VTE) event at any given time. The primary objective of this retrospective study is to determine the safety and efficacy impact of VTE prophylaxis (Prx.) by measuring the incidences of VTE before and after implementation of our prophylaxis policy over a span of 9 years, in order to gauge the clinical impact of this policy. Method Discharged Abstract Database (DAD) was used to extract post admitted PE and DVT events based on patients' primary diagnosis of solid tumor identified by the ICD-10-CA diagnosis codes. DAD identified the number of total patients or visits admitted to the in-patient units during the fiscal years of 2007 to 2016. Post-Admit VTE bleeding and death while on prophylaxis anticoagulant was also documented. From the pharmacy generated reports over the same period, the medication profile for each patient was cross-referenced with the DAD documented VTE events for accuracy. The timing of anticoagulant ordering for a given VTE event was checked against the information documented in the radiology/imaging section of the electronic patient record. Patients who came in with a full anticoagulant treatment regimen were removed from analysis. Similarly, patients who began anticoagulation treatment during the first 48 hours of hospital admission were also removed from analysis. The resulting vetted patient list containing only those who developed VTE 48 hours post-admission during their hospital stay, and receiving prophylaxis was the target population for analysis. The patients then were divided into two groups; pre-policy 2007-2012 and post-policy 2012-2016, policy implementation date was Sept. 2012. Each of these patient groups was analyzed and categorized by VTE risk according to the in-patient Padua risk score. When available, any information on bleeding in the presence of anticoagulation was reported. The proportion of patient population (*) receiving VTE prophylaxis was evolving in an increasing trend over the study period (from 2007 to policy 2012). The rate of Prx. post policy was close to 100%. Results Table 1. Comparisons between pre- and post- policy period in those received Prx. vs. no Prx., as well as risk scores and incidences of VTE within the two groups of patients with or without Prx. Conclusion The VTE Prx. policy in the in-patient setting has demonstrated positive impact in reducing the absolute number of incidence over the study period (p=0.0020). The bleeding incidence was low in the both pre- and post- periods. The documented 3 deaths in the pre- period was attributable to PE and none of these patients received Prx. Although VTE events in both pre- and post- periods were similar (18 and 20 respectively), these patients received routine Prx. The breakthrough VTE cases while on Prx. may be explained by the high Padua risk scores. In addition to cancer, obesity (Ave. wt. 77 kg, med. Wt. 75kg in pre- and Ave. Wt. 75.5kg, med Wt. 71kg in post-period), reduce mobility, acute infection and hormonal treatments (glucocortico-steroid) may have accounted for the significant VTE risks. Standard dose of enoxaparin 40mg once daily provided VTE prevention in the majority of our hospitalized patients, however a weight-based dosing schema may be needed for higher risk patients. Download : Download high-res image (340KB) Download : Download full-size image 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 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 | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».