489-P: Abnormal Combined Point-of-Care-Device DPN-Check and SUDOSCAN Results Predict All-Cause Mortality in People with Diabetes
Bibliographic record
Abstract
Aims: Diabetic peripheral neuropathy (DPN) has been associated with increased mortality; however, data is not available for objectively diagnosed DPN using point-of-care-devices (POCDs). We therefore examined the predictive validity of POCD-diagnosed DPN for increased mortality in a prospective study. Methods: A total of 245 consecutive people with diabetes (17 type 1 diabetes, age 62.3+14.3) attending retinal-screening had all annual review health checks in a One-stop Screening Service. DPN assessments included Toronto Clinical Neuropathy Score (TCNS) evaluation, 10g-monofilament test(10g-MFT) and two validated, objective POCDs, DPN-Check (handheld device measuring sural nerve conduction velocity/amplitude), and SUDOSCAN (measuring sudomotor function). Mortality data was collected at 7-year follow-up. Kaplan-Meier survival curves and Cox-proportional hazards models were generated to assess associations of DPN measures with all-cause mortality. Results: At follow-up, 52 [21.2% (SE 6.8%)] had died. Those who died were older at screening [72.4 (10.9) vs 59.6 (13.9) years; (p<0.001)]. The prevalence of screen-detected DPN was 12.6% (SE 4.4%) for 10g-MFT, 27.7% (SE 8.2%) for TCNS and 33.4% (SE 9.1%) for combined POCDs. In crude Kaplan-Meier analyses all-cause mortality risk was greater in patients with abnormal TCNS (p<0.001) and POCDs (p<0.001) but was equivalent in patients with normal or abnormal 10g-MFT (p=0.21). After adjusting for age, HbA1c and Total Cholesterol, only abnormal POCDs was significantly associated with all-cause mortality [HR 1.18 (p=0.04, 95%CI 1.00:1.39) vs TCNS [HR 1.33 (p=0.06, 95%CI 0.99:1.78)]. Conclusions: This is the first prospective study showing abnormal combined DPN-Check and SUDOSCAN results predict all-cause mortality after adjusting for other risk factors. However, 10g-MFT and TCNS that diagnose DPN late did not predict all-cause mortality. Disclosure M.Goonoo: None. D.Selvarajah: None. G.P.Sloan: None. S.Tesfaye: Advisory Panel; Bayer Inc., Wörwag Pharma GmbH & Co. KG, Angelini, Speaker's Bureau; Viatris Inc., Nevro Corp., Procter & Gamble, Novo Nordisk, Berlin-Chemie AG.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".