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Abnormal Baseline Oscillometry in Subjects Undergoing Hematopoietic Stem Cell Transplantation (HSCT)

2025· article· en· W4410270165 on OpenAlexaboutno aff
Maureen B. Josephson, H. Boas, Lisa R. Young, Samuel Goldfarb, Jonathan M. Gaffin, W. Wong, C. Towe, Jamin Koo, Adam Lane, Jason L. Freedman, Stella M. Davies, Paul D. Robinson, J. Mc Donough, Julian L. Allen

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHematopoietic stem cell transplantationTransplantationStem cellBaseline (sea)Internal medicine

Abstract

fetched live from OpenAlex

Abstract Rationale: Oscillometry is a tidal breathing test which may have greater sensitivity to detect impairment than spirometry. It has the potential to monitor lung function and screen for early manifestations of pulmonary infection or rejection. However, little is known about oscillometry findings in patients prior to hematopoietic stem cell transplantation (HSCT). Methods: The TRANSPIRE study (NCT04098445) is an ongoing NIH sponsored multi-center prospective observational cohort study of lung injury after HSCT in children. We performed oscillometry (Tremofloã C100, Thorasys, Montreal, CA) at baseline in a cohort of 148 children at 4 centers: Cincinnati Children's Hospital, Children's Hospital of Philadelphia, University of Minnesota Children's Hospital, and Boston Children's Hospital. Operators underwent a structured training program including quality control of data. Children between the ages of 4 and 21 years were eligible for study. Of subjects enrolled so far, 69 had oscillometry pre HSCT. Following ERS 2020 Guidelines, oscillometry was measured over recording periods of 30 seconds during tidal breathing using commercial equipment (Tremoflo, Thorasys Ltd, 5-37Hz) in at least three trials targeting a coefficient of variation of <15% in respiratory system resistance at 5Hz (R5). Variables reported included resistance at 5 and 11 Hz (R5, R11), reactance at 5 and 11Hz (X5, X11), frequency dependence of R (R5-19), resonant frequency (Fres) and area under the reactance curve (AX). Linear regression analysis was used to compare Transpire subjects to a cohort of 80 normal control patients studied at Children's Hospital of Philadelphia. Results: Significant differences between subjects and controls were observed in height adjusted values for Log AX (p= 1e-04), X11 (p <0.0001), R5-R19 (p < 0.0001) and fres (p= 0.0023). No differences were observed between subjects and controls in R5 and R11. Figure: Reactance at 11 Hz (X11) cm H20/l/s; as a function of height in cm. Control subjects red and TRANSPIRE subjects green. Conclusions: In a multicenter study of oscillometry in a cohort of children undergoing HSCT, our initial results suggest that baseline oscillometry in subjects is abnormal compared to controls. These findings suggest that patients undergoing HSCT have increased small airway resistance and increased respiratory system stiffness, which may put them at increased risk for pulmonary complications after HSCT. This study provides a baseline for future analyses examining subsequent changes, both acute and long-term, after HSCT in children.

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)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.334
Teacher spread0.309 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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