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Neonatal intensive care practices and the influence on skin condition

2012· article· en· W2147039316 on OpenAlexaff
Marty O. Visscher, Teresa Taylor, Vivek Narendran

Bibliographic record

VenueJournal of the European Academy of Dermatology and Venereology · 2012
Typearticle
Languageen
FieldHealth Professions
TopicNeonatal skin health care
Canadian institutionsSKiN Health
FundersJohnson and Johnson
KeywordsMedicineTransepidermal water lossErythemaGestational ageRashIrritationDiaper DermatitisDermatologyPediatricsStratum corneumPregnancyImmunologyPathology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.403
Teacher spread0.364 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations30
Published2012
Admission routes1
Has abstractyes

Explore more

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