The benefit of KidsO2 ring as a pre-screening device in pediatric obstructive sleep apnea
Bibliographic record
Abstract
Several consumer-grade Wearable Wireless Continuous Pulse Oximeters (WWCPO) have been developed both for comfort and offering reasonable cost and advanced oximetric data to help clinicians detect significant Obstructive Sleep Apnea (OSA) in children. To evaluate the diagnostic performance of various parameters from consumer-grade WWCPO (KidsO2 ring) compared to the gold-standard polysomnography (PSG). A cross-sectional study. The Wellue KidsO2™ ring as hardware, and the Vi Health App as software. Children aged 3 to 10 years, meeting the eligibility criteria, underwent simultaneous measurement with both PSG and the KidsO2 ring. Data from both devices were collected and analyzed statistically. Eighty-three patients were enrolled, of whom 37 were female (44.6%), with a mean age of 5.6±1.8 years and a mean BMI of 17.8±4.1 kg/m 2 . The oxygen trend graphs, interpreted using the McGill Oximetry Score, showed high specificity (100%) and positive predictive value (100%) for moderate to severe OSA, though sensitivity was low (17.2%). The recommended cut-off values for ODI>3 (Drops per hour>3) and ODI>4 (Drops per hour>4) to differentiate severe OSA from non-severe OSA are ≥ 4.6 and ≥ 2.8 events per hour, with specificity at 98.7%. KidsO2 ring has shown benefits in evaluating children with suspected OSA. The use of oxygen trend graphs and ODI (Drops per hour) values from the KidsO2 ring effectively detected significant OSA, potentially expediting further investigations and treatment such as adenotonsillectomy. • Global rising on demand for alternative diagnostic modalities for pediatric OSA due to limited resources of in-lab polysomnography. • KidsO2 ring is an efficient and comfortable pre-screening option for moderate to severe OSA in children • Oxygen trend graph and ODI (Drops per hour) values from KidsO2 ring can detect moderate to severe pediatric OSA with high specificity. • Information from KidsO2 ring could facilitate treatment procedures for pediatric OSA with confidence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".