571 Evaluating the Relationship Between BMI and Frailty in Older Adult Burn Patients
Notice bibliographique
Résumé
Abstract Introduction Frailty refers to an age-related syndrome of functional and physiological decline that is characterized by heightened vulnerability to adverse health events. Previous literature has demonstrated the efficacy of frailty assessment among burn injured patients. There is a U-shaped association between body mass index (BMI) and frailty with both ends of the BMI spectrum representing higher risk for elevated frailty scores. BMI has previously been shown to have a significant impact on inpatient length of stay, adverse events, and mortality. Despite this, there is a paucity of literature evaluating the complex relationship between frailty and BMI in burn patients. In this study, we investigated the relationship between BMI and frailty scores and their effects on burn outcomes in a multicenter population of older adult burn patients. Methods Burn injured patients admitted to 12 burn centers from January 2017 to December 2019 who were 60 years and older were retrospectively reviewed. Demographics, injury characteristics, and clinical metrics were obtained. Frailty was assigned to patients using the Canadian Study of Health and Aging Clinical Frailty Scale (CSHA-CFS). BMI was used to stratify patients as underweight (UW; BMI< 18.5), non-obese (NO; BMI 18.5-24.9), overweight (OW; BMI 25-29.9), obese I (OI; BMI 30-34.9), obese II (OII; BMI 35-39.9), or obese III (OIII; BMI≥40). Outcomes evaluated included the number of operations per admission, length of stay (LOS), and in-hospital mortality. Data is presented as mean ± SD. Frailty score by BMI, LOS and mortality were examined by Kruskal-Wallis test. Results Of 1,632 older adult burn patients, 1,415 patients had BMI data and were included for study. Of these, 49 were UW, 413 NO, 475 OW, 278 OI, 105 OII, and 95 OIII. Mean age was 70±8.5 years, mean TBSA burn was 8.4±12.1%, and the mortality rate was 8.8%. Frailty score was higher in UW (4.7±1.1) compared to NW (4.1±1.4; p=0.03), OW (3.8±1.3; p< 0.0001), and OI (3.8±1.2; p=0.0001). Frailty in NW (4.1±1.4) was also higher compared to OW (3.8±1.3; p=0.01) and OI (3.8±1.2; p=0.04). Total operations, LOS, and mortality were not significantly affected by BMI classification. Conclusions Frailty scores were significantly higher in underweight patients compared to normal weight, overweight or obese burn patients. Differences in BMI did not affect the LOS, total operations or mortality. Applicability of Research to Practice Although the relationship of BMI and frailty remain complex, understanding the effect of BMI extremes like being underweight may help with determining frailty status. Funding for the Study N/A
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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».