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Record W1730674986 · doi:10.1111/apa.13099

Using isopropyl alcohol impregnated disinfection caps in the neonatal intensive care unit can cause isopropyl alcohol toxicity

2015· article· en· W1730674986 on OpenAlexaff
Charlotte Sauron, Philippe Jouvet, Geneviève Pinard, Danielle Goudreault, Brigitte Martin, Bastien Rival, Ahmed Moussa

Bibliographic record

VenueActa Paediatrica · 2015
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsIsopropyl alcoholAlcoholMedicineIsopropylAnesthesiaEthanolSurgeryOrganic chemistryChemistry

Abstract

fetched live from OpenAlex

AIM: The safety of SwabCap alcohol impregnated disinfection caps was questioned in our unit because of malfunctions in luer access valves. We examined whether SwabCaps affected the integrity of two luer access valves and were associated with alcohol injected into the lines. METHODS: Our bench test study included seven circuits using SmartSite or CARESITE valves exposed to two environmental temperatures. Passive circuits consisted of a 96-hour contact system using SwabCap without other interventions. Active circuits consisted of nine sham injections during a 24-hour period, with the SwabCap replaced after each injection. The active control circuit used isopropyl alcohol impregnated pads to disinfect valves. Isopropyl alcohol was measured at the extremity of all active circuits by gas chromatography. RESULTS: The visual appearance of all SmartSite valves and 67% of the CARESITE valves was changed by SwabCap use. The mean isopropyl alcohol dosages were 52 mmol/L in the SmartSite and 8 mmol/L in the CARESITE at room temperature and 73 and 7 mmol/L, respectively, at 35°C. No alcohol was found in the control circuit. CONCLUSION: The SwabCap altered the valves' appearance and allowed significant amounts of isopropyl alcohol to be injected. It should not be used for neonates without further research.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.124
GPT teacher head0.369
Teacher spread0.244 · 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.

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

Citations16
Published2015
Admission routes1
Has abstractyes

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