PF316 THE CLINICAL CHARACTERISTICS AND OUTCOMES OF PATIENTS WITH AGGRESSIVE LARGE CELL LYMPHOMA AND DIABETES MELLITUS
Notice bibliographique
Résumé
Background: Epidemiological studies suggest that patients with diabetes mellitus (DM) are at‐risk to develop several types of cancers, including non‐Hodgkin lymphoma. Whether DM affects the clinical presentation or outcome of patients with lymphoma is unknown. Since patients with DM are prone to develop infectious complications, we hypothesize that the co‐occurrence of DM would increase the rate and/or severity of infectious complications in patients with lymphoma who receive chemotherapy. Aims: To describe the clinical characteristics and outcomes of patients with DM who received treatment for aggressive large cell lymphoma. Methods: This is a single center retrospective single center study. We included all consecutive patients who were diagnosed with aggressive large cell lymphoma and were treated at our institute between 2013 and 2017. Demographics, disease‐related and outcome data were extracted from the electronic medical records. Additional data and lab results were extracted from the hospital database. Categorical variables were compared using the χ2 or the Fischer exact test, and Mann Whitney was used to compare medians. Results: Between the years 2013 and 2017 we treated 226 patients with aggressive large cell lymphoma, most (n = 219, 96%) with diffuse large B cell lymphoma. In this cohort 49 patients (22%) had type 2 DM. None of our patients had type 1 DM. The median age of patients with DM was 70 years, and of non‐DM patients 65 years (P = 0.001). Patients with DM tended to have higher baseline BMI values (P = 0.057), but were comparable in all other demographic characteristics. Likewise, response to therapy, relapse rates and survival outcomes were similar in patients with DM compared to non‐DM patients. There were 133 hospital admissions due to febrile neutropenia (FN) in the entire cohort. Patients with DM had higher rates of admissions due to FN (P = 0.004). The admission rate in patients with DM remained higher after age‐matched subgroup analysis (P = 0.005). Yet, the duration of hospitalizations and number of admissions to the ICU were similar in patients with or without DM. In patients with DM, improved glycemic control during FN hospitalizations was associated with shorter hospital duration (P = 0.007). However, Hemoglobin A1C levels were not associated with increased risk for FN or infectious complications. Summary/Conclusion: Patients with aggressive large cell lymphoma and DM have higher rates of hospitalizations due to FN. In this high risk population, perhaps more aggressive measures should be made to avoid infectious complications. Furthermore, our data suggests that improved glycemic control during hospitalization is associated with shorter length of hospitalization due to FN in patients with DM.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».