229-OR: The Accuracy of a Novel Continuous Ketone Monitoring System (CKM) and Metrics of Ketosis during Ketogenic Diets in Type 1 Diabetes (T1D)
Bibliographic record
Abstract
Introduction and Objective: We evaluated i) the accuracy of SiBio CKM and ii) continuous ketone levels during two ketogenic diets, in individuals with T1D on automated insulin delivery (AID). Methods: We compared the readings of the CKM on day 7 of wear age to capillary measurements by FreeStyle Libre 2 ketone meter in adults who underwent 8-hour inpatient insulin suspension experiments. We also assessed metrics of continuous ketone levels using the CKM on two 6-day ketogenic diets: very-low carbohydrate diet (<50 g/day) and intermittent 12-hour fasting in outpatient free-living settings. Results: During insulin suspensions, 181 paired data points were collected from 14 adults (10 female, mean age of 36.5 y, HbA1c 6.9%, insulin dose 0.72 units/kg). The overall mean absolute difference (MAD) between the CKM and capillary readings was 0.2 mmol/L and the relative MAD for ketone values ≥0.6 and ≥1.0 mmol/L were 24% and 20%, respectively. During the ketogenic diets, the percent time with CKM values <0.6 and ≥0.6 mmol/L were 97.9% and 2.1% (30 min/day), respectively. The number of continuous ketosis events >0.6 and >1.0 mmol/L of more than 30 minutes were 51 and 7 events (i.e., 1 event in 2.7 and 20 days), respectively, with an average duration of 77 min/event; all events were asymptomatic. Conclusion: SiBio CKM demonstrated acceptable accuracy and reveals that benign, transient ketosis may be common in T1D. Disclosure N. Sabelli: None. A. Haidar: Research Support; Tandem Diabetes Care, Inc. Consultant; Eli Lilly and Company, Abbott. Research Support; ADOCIA, Dexcom, Inc., Ypsomed AG, Bigfoot Biomedical, Inc. D. Majdpour: None. M. Pasqua: Speaker's Bureau; Abbott, Sanofi, Medtronic. M. Tsoukas: Speaker's Bureau; Novo Nordisk, Eli Lilly and Company, Boehringer-Ingelheim, Janssen Pharmaceuticals, Inc, Sanofi. N. Perz: None. S. Jacobson: None. Funding Diabetes Quebec (Subvention de m?rite)
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".