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Record W2977547678 · doi:10.1093/sleepj/zsx050.883

0884 INFLAMMATORY FACTORS PRE AND POST ADENOTONSILLECTOMY IN PEDIATRIC OBSTRUCTIVE-SLEEP-APNEA

2017· article· en· W2977547678 on OpenAlexfundno aff
Yu‐Shu Huang, C. Guilleminault

Bibliographic record

VenueSLEEP · 2017
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilHospital for Sick ChildrenMedical Research CouncilState Government of Victoria
KeywordsMedicineObstructive sleep apneaPolysomnographyTonsillectomyApneaAnesthesiaGastroenterologyInternal medicine

Abstract

fetched live from OpenAlex

Systemic inflammation is commonly advanced as related to pediatric obstructive-sleep-apnea. Increase in high-sensitive CRP has been shown in association with the syndrome, with decrease following adenotonsillectomy. Many inflammatory factors have been identified with complex interaction between factors. We performed a study of interleukines 17 and 23 that control other interleukines on children before and after adenotonsillectomy. Children between 6 to 16 years diagnosed with obstructive-sleep-apnea based on clinical evaluation, anatomic evaluation of upper-airway including classification of tonsils and nocturnal polysomnography that were submitted to adenotonsillectomy and prospectively followed with new evaluation 6 months post treatment. Blood samples were obtained at each evaluation and determination of plasma high-sensitivity-CRP, tumor necrosis factor alpha, interleukins 1,6,10,17,and 23. 31 children, mean age 7.5 ± 0.6 years,36% girls, had changed from pre to post surgery with a mean apnea-hypopnea-index of 15.95 versus 2.9 (p=0.006), a mean oxygen-desaturation-index of 13.7 versus 2.7 (p=0.005). Mean heart rate during sleep changed from 87 to 79 beats/minute (p=0.002).Inflammatory factors also decreased after surgery indicating improvement such as high-sensitivity-CRP (p=0.01),Tumor-necrotic-alpha(p=0.046), interleukines 1 (p=0.019), 17 (p=0.039).But interleukine 6 had no change (p=0.11), as did interleukin 10 (p=0.112) and interleukine 23 (p=0.224). Interleukin 6 was not significantly increased at entry compared to expected normal level and did not change. Adenotonsillectomy did not bring the total group to complete normal AHI despite clear overall improvement. If the pro-inflammatory interleukine 17, secreted predominantly by the T helper 17 cells,is significantly improved,the abnormal up-regulation of 17 appears to have decreased with surgery. The interleukine 23 was not significantly change despite the clinical improvement. Interleukine 23 is a cytokine with immunomodulatory effect. One of its reported activity is to differentiate naïve T cells into IL-17-producing TH17 cells. Adenotonsillectomy may not eliminate mouth-breathing, and persistence of mild sleep-disordered-breathing may still have a negative effect on inflammatory factors. Funding source Study supported by Taiwan Ministry of Science and Technology grant: NZRPG3D0021 and Chang Gung Memorial Hospital grant #: CRRPG5 C0172 and CRRPG5 C0173 to YS Huang

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)0.000
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.332
Teacher spread0.307 · 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
Published2017
Admission routes1
Has abstractyes

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