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Record W4213331021 · doi:10.1093/jcag/gwab049.249

A250 NUTRISUP-PPN; PILOT RANDOMIZED CONTROL TRIAL OF ORAL AND PARENTERAL NUTRITION IN MALNOURISHED HOSPITALIZED PATIENTS

2022· article· en· W4213331021 on OpenAlexaffabout
Ashrafur Rahman, Marko Mrkobrada, Ameen Patel, Amitabha Chakroborty, David Armstrong

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2022
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsMcMaster UniversityWestern University
Fundersnot available
KeywordsMedicineRandomized controlled trialRandomizationMalnutritionParenteral nutritionAdverse effectPediatricsClinical trialEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Hospitalized malnourished patients experience poor outcomes. Despite this, health care practitioners are poor in identifying, monitoring and treating hospital malnutrition. Aims Our study determined the feasibility of a novel nutrition care pathway which both rapidly identifies and treats malnourished medical inpatients accounting for the obstacles for nutritional optimization by utilizing both peripheral parental nutrition (PPN) followed by oral nutritional supplementation (ONS) on a composite outcome of 30 day readmission, mortality and continued admission, as well other important clinical and nutritional outcomes. The study was registered under ClinicalTrials.gov Identifier no. NCT02632630 Methods NutriSUP-PPN was a 2x2 factorial pilot randomized trial. In two large Canadian hospitals, we recruited 100 adult patients > 18 years, < 48 hours from admission to a general medicine ward who were moderately or severely malnourished. Patients received: 1. PPN for 5 days and then enhanced ONS until 30 days post randomization; 2. PPN for 5 days and then standard ONS until 30 days; 3. Standard care for intravenous (IV) fluid administration for 5 days and then enhanced ONS until 30 days; 4. Standard care for IV fluid administration for 5 days and standard ONS until 30 days. Results There was no significant differences between a composite outcome of 30 day readmission, continued admission or mortality between any interventional group and control. We did however note a trend in the PPN + ONS arm where only 4/22 patients versus 10/24 patients (p=0.16) in the control (no PPN, no enhanced ONS) experienced an adverse outcome which was largely driven by a reduction of readmission in the ONS + PPN arm We demonstrated feasibility in recruitment, adherence to protocol, and safety. The incidence of sepsis was greater in the PPN arm compared to control (15.5% versus 4.2%) but was not statistically significant. Improvement in nutritional status for interventional arms were not significant compared to control. However, there was a trend of improvement in preventing decline of nutritional status in both the enhanced ONS arm and PPN + enhanced ONS arm. Conclusions There are signals in our data, which suggest that the combination of PPN with ONS may improve both clinical and nutritional outcomes compared to PPN or ONS alone. We posit that a large, multi-center, definitive randomized control trial is now justified to determine if PPN for up to 5 days along with 30 days of ONS, versus standard of care, will improve a composite outcome of death, continued admission, and readmission at 30 days. Funding Agencies CAGAMOSO

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)0.002
metaresearch head score (Gemma)0.002
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 score0.987
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.248
Teacher spread0.239 · 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".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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