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Record W2950414347 · doi:10.1093/cdn/nzz034.p10-121-19

Effect of Infection on Nutritional Status of Infants in a Cohort Study of Vitamin a in Western Kenya (P10-121-19)

2019· article· en· W2950414347 on OpenAlexaff
Frederick Grant, Rose Wanjala, Jan W. Low, Carol Levin, Donald Coke, Haile Selassie Okuku, Robert Ackatia‐Armah, Amy Girard

Bibliographic record

VenueCurrent Developments in Nutrition · 2019
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineSubclinical infectionCohortRespiratory infectionFerritinC-reactive proteinInternal medicineDiarrheaCalprotectinPediatricsRespiratory systemInflammationDisease

Abstract

fetched live from OpenAlex

Infection is associated with impaired nutritional status especially of infants under 5 years old. We assessed the impact of infection indicated by both the acute phase proteins (APP), C-reactive protein (CRP) and α-1-acid glycoprotein (AGP), and as reported by maternal recall on the nutritional status of infants. 505 pregnant women were enrolled into a nested longitudinal cohort study of vitamin A. Data analysis was restricted to infant data at 9-months (n = 385 mother-infant dyads) postpartum. Incidence and severity of respiratory infection and diarrhea over the previous 14 days were assessed by maternal recall; information on infant/child feeding practices were also collected. Infant weight, recumbent length and heel-prick capillary blood collection were taken at 9-months postpartum. Indicators of VA status [(retinol binding protein (RBP)], iron status (Hb, ferritin) and subclinical inflammation APP, CRP and AGP, were determined. Subclinical inflammation was defined as CRP >5 mg/L and/or AGP >1 g/L. Impacts of infection on infant nutritional status were estimated with multivariable logistic regression models adjusted for clustering and differences at enrollment. Infection prevalence, based on elevated CRP and AGP levels, was 36.7%. For diarrhea reported symptoms, 42.4% of infants at 9-months had no indication of infection as indicated by CRP and AGP; whilst for acute respiratory reported symptoms, 42.6% had no indication of infection. There was a weak but significant positive association with infection among VA deficient (RBP <0.83 μmol/L) infants based on maternal reported symptoms but not with iron deficiency (ferritin <12 μg/L). The odds of having infection, based on raised CRP and AGP, in underweight infants was 3.7 times higher (OR: 3.7; P = 0.019). Infants with iron deficiency were less likely (OR: 0.40; P = 0.001) to have infection based on CRP and AGP, whilst infants with VA deficiency were 5 times more likely (OR: 5.06; P = 0.0001) to have infection. Acute phase proteins are more useful in defining infection in a population compared to reported symptoms of illness. Not controlling for inflammation in a population while assessing nutritional status might result in inaccurate prevalence estimation. Supported by the Bill &Melinda Gates Foundation (OPP53344).

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.322
Teacher spread0.308 · 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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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