88 Validation of the Modified NUTrition Risk Score (mNUTRIC) in Burn Victims: Evidence from a Multi-centre, Multi-national, Double-blind, Controlled Randomized Clinical Trial
Notice bibliographique
Résumé
Abstract Introduction Nutrition is an essential therapy in burn victims. However, whether nutrition therapy provide benefits equally to all burn victims is unknown. The NUTRIC score identifies patients who may not benefit more from aggressive nutrition therapy (score < 5) and those who may benefit more from aggressive nutrition (High score ≥ 5). It can be estimated from age, SOFA, APACHE scores, comorbidities, and IL-6. If the latter is not available, the modified NUTRIC score (mNUTRIC) can be computed. The mNUTRIC score has been validated in ICU settings. In burn victims, the association between mNUTRIC score, nutritional intake, and clinical outcomes is unknown. We hypothesize that a higher mNUTRIC score will be associated with worst clinical outcomes and that greater nutritional adequacy will be associated with better clinical outcomes in nutritionally high-risk burn victims. Methods In the context of a double-blind, placebo-active, multi-centre RCT of adult burn patients, we evaluated the association between mNUTRIC score, nutritional adequacy, and clinical outcomes. Patients with deep second and/or third-degree burns with a total body surface area percentage (TBSA%) ≥10 were enrolled in the RCT. Patients demographics, type of burn, %TBSA, nutrition intake, hospital length of stay (LOS), Burn Unit (BU) LOS, and hospital mortality were collected. The nutritional adequacy was calculated from all sources, except intravenous glucose and oral intake. Descriptive and inferential analyses for quantitative data were performed. Results Six hundred and sixty patients were included. The majority were Caucasian (78%) males (74%) with a BMI between 25–35 (53%), median age of 50 ±18 years and severely ill (Apache Score II; 14 ±8, SOFA score; 2.9 ±3). The most common type of burn was fire (87%), with %TBSA of 31 ±16, Table 1. EN alone was provided to 79% of the patients and the daily average energy and protein adequacy was 73% and 76%, accordingly. Table 2. Compared to low mNUTRIC, the high mNUTRIC group had less ventilator free days (11 [6–19] vs. 28 [11–28] days), worse survival (52% vs. 9.5%), and longer hospital LOS (181 [81–181] vs. 34 [20–68] days), Table 3. Compared to the low mNUTRIC, the high mNUTRIC group had better clinical outcomes with increasing energy (by 20% of goal), interaction for energy, mNUTRIC, and mortality was p=0.11 and for time-discharge-alive was < p=0.0001. Similarly, more protein tended towards better outcomes in the high mNUTRIC group but not the low NUTRIC group (interaction for protein, mNUTRIC, mortality was p=0.20; time-to-discharge alive was p=0.08, Table 4. Conclusions A high mNUTRIC score identifies high risk burn victims and may identify those who may benefit more from an aggressive nutrition therapy. Applicability of Research to Practice Nutrition therapy in burns can be more efficient.
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 | 0,015 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,006 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 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 ».