Neonatal intensive care practices and the influence on skin condition
Bibliographic record
Abstract
BACKGROUND: Premature skin has a thinner epidermis with a poorly formed stratum corneum (SC) barrier compared to full term skin. Poor skin integrity increases the risk of exposure to irritants and infectious agents. Interventions that facilitate skin maturation are essential. OBJECTIVE: The objective was to examine the effects of prematurity and time from birth on SC maturation and to identify factors that impact skin condition. METHODS: A retrospective review was conducted among 130 NICU patients. Skin regions were evaluated for erythema, rash, integrity and function. The effects of gestational age, time from birth, stool exposure, nutrition and diagnosis were examined. RESULTS: Three groups emerged: (i) premature and <38 weeks adjusted age; (ii) premature and >38 weeks adjusted age; and (iii) full term. Surprisingly, the premature infants exhibited lower perineal irritation and greater SC integrity (lower transepidermal water loss) than full terms (P < 0.05). Group 2 had a longer time before the first skin-stool contact. Chest skin pH showed maturational changes for Group 1 (P < 0.05) but did not change for premature Group 2 who was older at enrollment. Erythema was lower for infants using elemental formulas or total parenteral nutrition. CONCLUSIONS: Premature infants with early stool contact and high exposure, full term infants, and patients with congenital diaphragmatic hernia or trisomy 21 are at high risk for skin compromise and may benefit from prophylactic interventions to minimize compromise. Low stool exposure and greater time before the first stool contact appear to be protective against skin compromise.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".