0593 DIFFERENCES IN PREDICTED THERAPEUTIC OUTCOME AND OPTIMAL PROTRUSION POSITION OF ORAL APPLIANCE DETERMINED DURING PSG WITH REMOTELY CONTROLLED MANDIBULAR POSITIONER BETWEEN CANADIAN AND CHINESE OSA PATIENTS
Bibliographic record
Abstract
In-lab mandibular protrusive titration using a Remotely Controlled Mandibular Positioner (RCMP, MATRx, Zephyr sleep technologies, Calgary, CDN) has been found to predict the success rate of oral appliance (OA) in obstructive sleep apnea (OSA) and reliably determine the Optimal Protrusive Position (OPP) for participants predicted to be therapeutically successful with oral appliance therapy in these patients. The aim of this prospective pilot study was to compare OA success rate and OPP using in-lab RCMP manual titration performed in Canadian (Quebec, Canada) and Chinese (Shenyang, China) OSA patients. Seventeen untreated Canadian and 9 Chinese OSA patients were recruited (inclusion criteria: age: 20–75 years, AHI:15–50/h; BMI < 40 kg/m2). In each center, manual RCMP titration was performed during an in-lab sleep study using a same procedure that had been previously reported. Anthropometric features and OSA severity didn’t differ between Canadian and Chinese subjects. The resting occlusal position of lower mandible (determined by the scales on RCMP trays) was lower in Chinese patients than in Canadians (3.91 ± 1.95 mm vs. 9.76 ± 2.22 mm, p ˂ 0.01, independent t-test), with similar maximal mandibular advancement level (17.24 ± 1.51 mm vs. 17.14 ± 1.55 mm, p > 0.05). The predicted success rate according to the RCMP titration tended to be lower in Canadians (41%) than in Chinese (78%) (p = 0.07, chi-square test). Among patients with predicted success, the mean OPP was 94.6 % ± 11% of maximal protrusion in Canadians, which tended to be higher than its value in Chinese subjects (81.1% ± 13% of maximal protrusion; p = 0.08). According to in-lab RCMP titration, Chinese OSA patients appear to be more prone to benefit from OA treatment than Canadians, with lower level of optimal mandibular advancement. RCMP device was provided by Zephyr sleep technologies, Calgary, CDN). Grant support from Liaoning (China) Institutes of Innovation Team, Grant LT 2013015.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".