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Record W2326994455 · doi:10.2174/157340411796355144

Prematurity and Morbidity: Could KMC Reverse the Process?

2011· article· en· W2326994455 on OpenAlexaff
Martha Cristo, Line Nadeau, Cyril Schneider

Bibliographic record

VenueCurrent Women s Health Reviews · 2011
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPsychological interventionNeonatal intensive care unitMedicineIntervention (counseling)Observational studyLow birth weightPediatricsIntensive care medicinePsychologyNursingPregnancy

Abstract

fetched live from OpenAlex

The slow progress, indeed the ineffectiveness, in checking the rise in preterm births is undoubtedly partly due to the inaccuracy of predictive models, our focus on curative interventions, and the dearth of prevention strategies in this public health sector. Moreover, results from meta-analyses of observational studies concluded that premature or low birth weight subjects have cognitive deficits, poorer academic performance, attention problems and are less socially competent than their full-term peers, and that these consequences have long lasting impacts on adolescence and adulthood. Can these effects be reversed? Could an intervention such as Kangaroo Mother Care reverse the short- and long-term negative effects of preterm birth? Recent interventions aimed at improving the intensive care unit environment have already shown positive effects on babies' physical growth, respiratory autonomy and length of hospitalization. The KMC program appears to act at a number of levels and in different time windows. In the very short term, it reduces length of hospitalization and exposure to the stressful intensive care unit environment. Since infants are carried by their parents, noise is reduced and absorbed by the latter's clothing and body. KMC allows parents to have early, close contact with their baby and at the same time strengthens the foundation for secure parentinfant bonding. Parents feel more positive and more confident regarding their preterm infant. They appear to accept the intervention and carry it out without any difficulty. The infants gain weight more rapidly, they breathe better, experience less apnea, maintain their body temperature better and have fewer iatrogenic problems due to long hospital stays. In the medium term (12 to 24 months), KMC appears to protect infants who are more fragile at birth. The latter obtain a higher developmental quotient (ranging from 10 to 13 points for the most fragile) than extremely preterm infants who receive traditional care and they benefit from a family environment (including father involvement) that is more dynamic and stimulating than fragile infants who did not receive KMC. However, a number of questions remain regarding the factors responsible for these changes. Given the current state of knowledge, the main hypotheses focus on the neurological changes that result from the intervention. This new neuroscientist approach we conduct in KMC proposes that different types of care can repair the brain to some extent at a critical age, that is, very early. The ancillary knowledge provided by neurophysiological studies on brain functioning should contribute to guide the medical and rehab interventions aimed at minimizing the long-term neurodevelopmental disability of children born preterm. Keywords: Brain maturation, fragile-at-birth infants, infant development, Kangaroo Mother Care (KMC), prematurity, public health, Morbidity, High-Risk Preterm Infants, Postnatal Cares, Maternal Sensitivity

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)0.008
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.031
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.140
GPT teacher head0.386
Teacher spread0.246 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2011
Admission routes1
Has abstractyes

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