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Record W2796162880 · doi:10.5114/polp.2018.74768

How neonatologists implement vaccination in premature newborns

2018· article· en· W2796162880 on OpenAlexaboutno aff
Maria Katarzyna Borszewska-Kornacka, Maria Wilińska, Marcin Kalisiak, Jolanta Baszczeska, Jacek Witwicki, Magdalena Klemińska-Nowak

Bibliographic record

VenuePediatria Polska · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVaccinationPediatricsVirology

Abstract

fetched live from OpenAlex

Introduction According to AAP (1992–1998), CDC (2009), and Polish (2015) recommendations, children before 37 weeks of pregnancy should be included in the same vaccination schedule as full-term newborns. It means that these infants should receive vaccinations according to the chronological age. This applies to newborns and infants born with small (< 2500 g), very small (< 1500 g), and extremely low body weight (< 1000 g), as well as children with a maturity of ≤ 33 gestational weeks. Although many studies indicate an immature immune system of this group of children, even those born with maturity below 29 weeks of gestation and those with bronchopulmonary dysplasia induce sufficient immune response to vaccinations. Neither body mass nor maturity are factors in limiting the schedule of recommended vaccination. The aim of the study was to evaluate the implementation of vaccinations in the tertiary and secondary neonatal departments in the Mazovia region in the years 2015-2016 in newborns born before ≤ 33 weeks of pregnancy. Material and methods Vaccination against pneumococci (PCV), pertussis, tetanus, diphtheria, Haemofilus influenza, and poliomyelitis have been evaluated. The children were vaccinated with the most commonly used pentavalent or hexavalent (DTPa-IPV-HIB, DTPa-HBV-IPV-HIB) vaccine and against pneumococci containing 10 or 13 serotypes (11, 4, 5, 6B, 7F, 9V, 14F, 19F, 23F); (1, 3, 4, 5, 6A, 6B, 7F, 9V, 14, 18C, 19A, 19F, 23F). The analysis does not include obligatory vaccination against tuberculosis and hepatitis B. The material was analysed in two groups of gestational age: 23 0/7 – 28 6/7 – I group and in 29 0/7 – 33 6/7 weeks. Results Of the 2149 neonates with gestational age ≤ 33 weeks only 388 (15.7%) were vaccinated against pneumococci before discharge home from the neonatal department. In newborns of maturity 23 0/7 – 28 6/7 gestational age these vaccinations were performed in 217 children, i.e. 51.05% of children with this maturity, which constitutes 55.92% of all vaccinated children against pneumococci. In the second group of 1724 children with the age of 29-33 weeks, the pneumococcal vaccination was given to 171 newborns, i.e. 44.08% of all pneumococcal vaccines, and 9.92% of children with this maturity born between 2015 and 2016. Vaccination with DTPa-HBV-IPV- HIB, or DTPa-IPV-HIB was performed in 340 (15.8%) newborns: 166 newborns in 2015 and 174 newborns in 2016. Conclusions Despite international and Polish recommendations, the implementation of DTPa, IPVHib HBV, and PCV vaccination during hospitalisation of children in neonatal units does not cover all newborns ≤ 33 weeks of gestational age. Only slightly more than half of newborns in 23 0/7 – 28 6/7 gestational age whose hospitalisation in neonatal departments is on average 72 days, receive DTPa, IPVHib HBV, and PCV vaccination before discharge. In the Mazovia region there is a need to extend the procedure of vaccinations in neonatal departments for the safety and comfort of the child as well as the early identification of adverse events, which would allow proper intervention during hospitalisation.

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 imitation

Not 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.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.120
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.120
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0050.006
Open science0.0020.007
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0210.016

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 head0.024
GPT teacher head0.327
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), 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".

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Citations1
Published2018
Admission routes1
Has abstractyes

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