What We Do and What We Should Do Against Malnutrition in Spinal Cord Injury: A Position Paper From Italian Spinal Cord Injury Network Rehabilitation Centers
Bibliographic record
Abstract
Spinal cord injury (SCI) is a traumatic event that significantly impacts body composition and alters energy and nutritional needs. This places patients with SCI at a high risk of malnutrition, which can hinder optimal functional recovery, prolong hospital stays, increase hospital admissions, and contribute to the development of obesity and cardiovascular and metabolic ailments in chronic patients. Consequently, there is an urgent need for clear guidance to support clinicians in managing the nutritional needs of patients with SCI at different stages of the disease, including the acute (0 - 4 months after injury), post-acute (4 - 26 months after injury), and post-discharge phases. This study utilized a cross-sectional survey to assess the strategies employed in seven spinal units across Italy to address the nutritional needs of patients with SCI during the acute, post-acute, and post-discharge phases of the condition. Eight clinicians (five physiatrists, two internists, and one urologist) and one nurse participated in the survey. Following the survey completion, the participants were invited to partake in a round table session to delve deeper into the questionnaire results to gather their opinions and gain insights into clinical practices related to the various challenges surrounding the management of malnutrition in patients with SCI. We here review the available evidence on the energy needs and nutritional requirements of patients with SCI, highlighting the clinical aspects that deserve more attention throughout the distinct phases of the disease. We additionally provide an overview of the scenario regarding the management of malnutrition in patients with SCI across various spinal units in Italy. Through this comprehensive analysis, we aimed to enhance understanding and provide valuable insights for clinicians working with patients with SCI, equipping them with the knowledge and confidence to provide nutritional support to patients with SCI efficiently. By addressing the challenges of defining nutritional needs and presenting a practical guide, we aspire to contribute to the overall management and care of individuals with SCI and the prevention of malnutrition and its associated complications, thereby improving patient outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".