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Preterm Birth and Risk of Health Service Use, Morbidity, and Medication Needs at 5 Years

2025· article· en· W4414059725 on OpenAlexaffabout
Lindsay L. Richter, Ye Shen, Sarka Lisonkova, Jeffrey N. Bone, Arianne Albert, Matthew Ho, Emily Kieran, Edmond S. Chan, Cherry Mammen, Carol Lam, Ashley Roberts, Kristopher T. Kang, Michael Castaldo, Dax G. Rumsey, Tara McGrath, Kevin C. Harris, Connie Yang, Jonathan J. Wong, Natalie Chan, James A. Lee, Shahrad R. Rassekh, Jennifer A. Hutcheon, Joseph Ting

Bibliographic record

VenueJAMA Pediatrics · 2025
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsMcMaster UniversityUniversity of AlbertaUniversity of TorontoBC Children's HospitalWomen's Health Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsCohortHealth careCohort studyHealth servicesPremature birthMEDLINEService (business)Infant mortality

Abstract

fetched live from OpenAlex

Importance: Neonatal intensive care has advanced over recent decades, yet premature birth remains associated with increased neonatal mortality and morbidity. Objective: To describe health service use, morbidity, and medication needs up to age 5 years in a contemporary cohort of children born preterm. Design, Setting, and Participants: This population-based cohort study was conducted in British Columbia (BC), Canada, using health service and pharmacy data linked using provincial administrative databases. Data for a sample of 465 338 children born at 22 to 44 weeks' gestational age (GA) in BC from April 2004 to December 2014 were available. After exclusions for missing information on GA or birth weight, incomplete linkage, or loss of registration, the cohort included 448 819 children (96.5%), with 420 309 (93.6%) having complete 5-year follow-up until 2019. Data were analyzed from May 2023 to April 2025. Exposures: GA at birth, grouped into 8 categories: 22 to 24, 25 to 27, 28 to 30, 31 to 33, 34 to 36, 37 to 38, 39 to 41 weeks (reference), and 42 to 44 weeks. Main Outcomes and Measures: Health service use (hospitalizations and outpatient visits), morbidity (combined inpatient and outpatient diagnoses), and medication needs (outpatient prescriptions). Results: Of 448 819 children (mean [SD] age at follow-up, 4.8 [0.69]; 230 351 [51.3%] male), 42 080 (9.4%) were born before 37 weeks. Hospitalization rates within 5 years were higher for children born earlier compared to 39 to 41 weeks: 22 to 24 weeks (risk ratio [RR], 6.37; 95% CI, 5.62-7.22; risk difference [RD], 464.35 per 1000 patients; 95% CI, 395.62-533.08), 25 to 27 weeks (RR, 4.52; 95% CI, 4.15-4.92; RD, 304.21; 95% CI, 271.42-336.99), 28 to 30 weeks (RR, 2.70; 95% CI, 2.49-2.93; RD, 146.9; 95% CI, 128.01-165.78), 31 to 33 weeks (RR, 1.91; 95% CI, 1.81-2.03; RD, 79.08; 95% CI, 69.56-88.61), 34 to 36 weeks (RR, 1.53; 95% CI, 1.49-1.58; RD, 46.03; 95% CI, 42.13-49.92), and 37-38 weeks (RR, 1.16; 95% CI, 1.14-1.18; RD, 13.84; 95% CI, 11.9-15.78). Earlier GA was associated with increased outpatient visits by age 5 years. Children born preterm exhibited higher rates of respiratory (RR, 1.33; 95% CI, 1.30-1.37 to RR, 3.96; 95% CI, 3.30-4.70), endocrine (RR, 1.13; 95% CI, 1.09-1.18 to RR, 2.37; 95% CI, 1.65-3.27), gastrointestinal (RR, 1.26; 95% CI, 1.11-1.43 to RR, 6.36; 95% CI, 3.05-11.49), kidney (RR, 1.17; 95% CI, 1.08-1.26 to RR, 3.39; 95% CI, 1.86-5.59), neurodevelopmental (RR, 1.60; 95% CI, 1.55-1.66 to RR, 8.04; 95% CI, 6.78-9.44), and sleep (RR, 1.35; 95% CI, 1.21-1.51 to RR, 3.39; 95% CI, 1.34-6.87) disorders. Children born preterm were more likely to receive outpatient antibiotics, bronchodilators, corticosteroids, diuretics, and thyroid hormones. Conclusions and Relevance: In this population-based cohort study, despite neonatal care advancements, children born preterm required more health care resources and faced greater health challenges in their first 5 years.

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)0.001
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 score0.103
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.041
GPT teacher head0.354
Teacher spread0.313 · 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

Citations10
Published2025
Admission routes2
Has abstractyes

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