MétaCan
Menu
Back to cohort
Record W2911789065 · doi:10.1055/s-0039-1677713

Hypophosphatemia is Prevalent among Preterm Infants Less than 1,500 Grams

2019· article· en· W2911789065 on OpenAlexaffabout
Heidi Al‐Wassia, Andrew W. Lyon, Sarah Rose, Reginald S. Sauve, Tanis R. Fenton

Bibliographic record

VenueAmerican Journal of Perinatology · 2019
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsAlberta Children's HospitalUniversity of CalgaryAlberta Health ServicesSaskatchewan Health Authority
Fundersnot available
KeywordsMedicineHypophosphatemiaPediatricsMEDLINEInternal medicine

Abstract

fetched live from OpenAlex

Objective This article identifies the prevalence and associated factors of hypophosphatemia (HP) in very low birth weight (VLBW) infants in the first week of life. Study Design Prospective exploratory cohort study of 106 consecutive VLBW infants admitted to neonatal intensive care at Foothills Hospital, Calgary, Canada. HP was defined as at least one measurement of serum phosphate < 1.5 mmol/L (4.5 mg/dL). Results Seventy-seven percent (82/106) of the VLBW infants had HP, with significantly higher prevalence in infants < 1,000 g (94%) compared to infants ≥ 1,000 g (61%) (p < 0.001). Hypophosphatemic infants had lower birth weight (p < 0.001), gestational age (p < 0.001), and their increase in phosphate intake was slower (p = 0.003). Respiratory distress syndrome (RDS) (p = 0.002), intraventricular hemorrhage (IVH) ≥ grade III (p = 0.020), and hyperglycemia (p = 0.013) were more frequent among hypophosphatemic infants, especially among those < 1,000 g. Mortality, seizures, arrhythmias, and need for transfusion were not different between groups. Birth weight modified the association between RDS, IVH, hyperglycemia, and HP. Conclusion HP was ubiquitous among infants < 1,000 g and highly prevalent among those weighing 1,000 to 1,500 g. While the direction of effect was not clear, RDS, IVH, and hyperglycemia were associated with HP. Prevention of HP in these physiologically immature neonates might improve neonatal outcomes.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.241
Threshold uncertainty score0.737

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.011
GPT teacher head0.284
Teacher spread0.273 · 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

Citations18
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Journal of PerinatologySame topicInfant Nutrition and HealthFrench-language works237,207