FRAIL-HRU-AML: Impact of Frailty Assessment on Health Resource Utilization in Acute Myeloid Leukemia Patients: A Population-Based Study from Ontario, Canada
Notice bibliographique
Résumé
Introduction The management of acute myeloid leukemia (AML) involves significant healthcare resource utilization (HRU) due to frequent and prolonged hospitalizations for chemotherapy and supportive care. Frailty, which encompasses overall fitness beyond just comorbidities, is associated with poorer outcomes in various cancers. Assessing frailty can enhance treatment decision-making in oncology by adding valuable context to disease-specific factors. However, the specific impact of frailty on HRU in AML has not been well studied. Therefore, this study aims to evaluate the impact of frailty on HRU in AML patients. Methods This retrospective cohort study from population-based health administrative databases in Ontario, Canada (ICES) included all patients (pts) ≥18 years newly diagnosed (ND) with AML between 2006 and 2021 and treated within 90 days after diagnosis. Patients were followed from date of first chemotherapy to 1- year after maximum follow up until March 31, 2023, for HRU outcomes. Patients were censored at the time of allogenic stem cell transplant (ASCT). The primary predictor, frailty was measured using McIsaac's frailty index (MFI) and categorized as fit (FT), pre-frail (PFR), or frail (FR). HRU outcomes included length of stay for all hospitalizations in days (Total-LOS), intensive care unit stay in days (ICU-LOS), and number of hospital admissions including emergency visits (HA) within first year after starting chemotherapy. These outcomes were measured as per person year (PPY) to adjust for variability in length of follow-up. Association of frailty with HRU outcomes was measured as rate ratios (RR) using multivariable negative binomial models. Model co-variates included age, sex, rurality, neighborhood income quintile, Ontario marginalization (ON-MARG), co- morbidities, ethnicity, prior non-AML malignancy, and treatment intensity {classified as intensive (IT) or non-intensive (NIT) based on standard practices}. Results This study included 5450 pts with ND- AML, with a median age of 65 years (IQR 54-74), 55.8% being males. 3543 (65%) patients received IT and 1907 (35%) received NIT. In entire cohort, 1750 (32.1%) patients were FT, 1874 (34.4%) PFR, and 1826 (33.5%) FR. In 2,035 (37%) patients ≤ 60 years, 44.5% (905) were FT, 36.7% (746) PFR, and 18.9% (384) FR. In 3,415 (63%) patients > 60 years of age, 24.7% (845) patients were FT, 33.0% (1,128) PFR and 42.2% (1,442) FR. 39.0% (683) of FT, 28.7% (537) of PFR, and 18.7% (342) of FR patients underwent ASCT. Median follow up for entire cohort was 13 months (IQR: 4-34). Median overall survival (months) was 12.5 (95% CI: 12.0-13.2) in the entire cohort, 17.6 (95% CI: 16.2-19.1) in FT, 13.7 (95% CI: 12.6-15) in PFR, and 8.5 (95% CI: 7.6-9.3) for FR patients. On univariate analysis, the total LOS (days) was longer for FT patients: 62.04 (95% CI: 61.62-62.46) for FT, 52.29 (95% CI: 51.91-52.68) for PFR, and 55.69 (95% CI: 55.25-56.13) for FR patients, with statistical significance (p<0.0001). However, ICU-LOS (days) was longer (p<0.0001) for FR patients with a median ICU-LOS of 3.15 (95% CI: 3.05-3.26) for FR, 2.41 (95% CI: 2.33-2.49) for PFR, and 2.32 (95% CI: 2.24-2.40) for FT patients. Similarly, HAs were more frequent in FR patients, 5.63 (95% CI: 5.49-5.77) for FR, 4.99 (95% CI: 4.88-5.11) for PFR, and 5.18 (95% CI: 5.06-5.30) for FT patients, showing statistical significance (p<0.0001). On multivariable analysis for total-LOS, frail patients had significantly higher total- LOS (RR-1.17, 95% CI- 1.06-1.29, p=0.0009), compared to, FT patients (ref.). Advanced age, sex, intensity of chemotherapy and presence of secondary AML were not significantly associated with total- LOS. Frailty was also associated with higher ICU- LOS (RR-1.81, 95% CI- 1.35-2.4, p<0.001) compared to fit patients (ref.). Patients older than 65 years also had higher ICU-LOS (p<0.001) and female patients had lower ICU-LOS. Intensity of treatment had no significant association with ICU-LOS. Similarly, FR patients had significantly higher HA (RR-1.12, 95% CI- 1.05-1.20, p=0.0005) than FT patients (ref.). Advanced age above 65 years of age, those receiving IT and patients with secondary AML also showed independent association with increased HA. Conclusion Frailty is independently associated with higher total-LOS, ICU-LOS and HA in ND- AML patients within 1 year of starting chemotherapy after adjusting for advanced age, sex, intensity of chemotherapy and secondary AML.
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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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,005 |
| 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 | 0,000 | 0,001 |
| 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 ».