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Record W3009118225 · doi:10.1093/jbcr/iraa024.092

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

2020· article· en· W3009118225 on OpenAlexaff
Daren K. Heyland, Luis Ortiz‐Reyes, Alexis F. Turgeon, Lucy Wibbenmeyer, Jonathan R. Pollack, Samuel P. Mandell, Niknam Eshraghi, Andrew G. Day

Bibliographic record

VenueJournal of Burn Care & Research · 2020
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineTotal body surface areaRandomized controlled trialContext (archaeology)Medical nutrition therapyBurn centerClinical trialInternal medicinePlaceboPhysical therapyEmergency medicinePoison control

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.018
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.374
GPT teacher head0.487
Teacher spread0.113 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2020
Admission routes1
Has abstractyes

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