Comparison of Total Body Tissue Interface Pressure of Specialized Pressure-Relieving Mattresses
Bibliographic record
Abstract
OBJECTIVE: The pressure-relieving ability of three specialized support surface mattresses was investigated and compared to a standard hospital mattress by measuring total body tissue interface pressure in a laboratory experiment designed to simulate clinical conditions predisposing to formation of pressure ulcers. SUMMARY BACKGROUND DATA: Pressure ulcers are commonly seen in the elderly; in patients with trauma, burns, spinal cord injury, neurological deficits, peripheral vascular disease, and stroke; and in other patient groups with debilitating or emaciating illness. They represent from 4 to 29% of all hospital admissions. This study was undertaken to compare three different types of specialty beds to a standard hospital mattress in order to find a mattress that prevents the occurrence of pressure ulcers. METHODS: The tested beds and mattresses were the Orthoderm Convertible II (Bio-Clinic Inc., Ontario, Canada) low air-loss mattress on a Stryker PMS (Stryker Inc., Kalamazoo, Michigan, USA) bed; the FluidAir Elite (KCI Inc., San Antonio, Texas, USA) air-fluidized bed; the Pegasus Airwave mattress (Pegasus Airwave Inc., Boca Raton, Florida, USA) on a Stryker PMS bed; and a standard hospital mattress on a Stryker PMS bed. The nineteen test subjects were all healthy with exclusion criteria of spinal cord injury, immobility, or other neurological or physical impairment. The Force Management System (Numotech Inc., Northridge, California, USA) was used to measure tissue interface pressure. RESULTS: The study data show that the Pegasus Airwave mattress total surface pressure values of the anatomical regions (total body, torso, hips) of the body are lower than those of the other three tested mattresses. The total body and hip pressure resulting from pressure maturation is significantly less on the Pegasus Airwave mattress than on to the hospital bed, the air-fluidized bed, and the low air-loss bed. CONCLUSIONS: The Pegasus Airwave mattress outperforms the other tested support surfaces by decreasing overall pressure. Therefore, the Pegasus Airwave mattress is an excellent addition to augment nursing care in the prevention and treatment of pressure sores.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".