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Record W2997074330 · doi:10.1177/2192568219895225

Factors Affecting Length of Stay Following 3-Column Spinal Osteotomies in Pediatric Patients

2019· article· en· W2997074330 on OpenAlexaff
So Kato, Taylor Dear, Stephen J. Lewis

Bibliographic record

VenueGlobal Spine Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicinePerioperativeSpinal deformityOsteotomyRetrospective cohort studyScoliosisSurgeryVertebral columnSpinal columnComplicationAnesthesia

Abstract

fetched live from OpenAlex

STUDY DESIGN: A retrospective analysis. OBJECTIVES: Length of stay (LOS) is one of the important indicators for the quality of patient care. Although perioperative complications are known to be associated with longer LOS in general, little has been understood regarding LOS after 3-column spinal osteotomy for the rigid spinal deformity in pediatric population. The main objective of the article is to identify factors affecting the LOS in pediatric patients undergoing 3-column posterior spinal osteotomies. METHODS: Following research ethics approval, a retrospective review was performed of 35 consecutive posterior 3-column spinal osteotomies performed on pediatric patients in a single academic institution. Patients' demographic data, preoperative comorbidities, details of operative procedures, intraoperative complications, and postoperative complications were investigated, and LOS was compared among the groups. RESULTS: The mean LOS was 9.0 days, and the median LOS was 7 days (range = 4-23 days). Low body weight and syndromic deformity were associated with longer LOS. Operation time ≥6 hours and total perioperative fluid administration greater than or equal to twice the estimated blood volume were associated with longer LOS. Among postoperative complications, those with respiratory complication had prolonged stay. CONCLUSIONS: Preoperative low body weight and syndromic scoliosis had longer LOS after 3-column osteotomies. Excessive fluid administration and respiratory complications were associated with longer LOS.

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 score0.005
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.299
Teacher spread0.281 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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