Insufficient adaptation of hypoglycaemic threshold for cognitive impairment in tightly controlled type 1 diabetes.
Bibliographic record
Abstract
UNLABELLED: It is well known that hypoglycaemic thresholds for hormones and symptoms occur at lower plasma glucose levels in patients with strict glycaemic control. However, whether the threshold for cognitive impairment also shifts is still an unresolved question. We studied 19 type 1 diabetic patients, including 8 with hypoglycaemia unawareness, aged 37.0 +/- 7.4 y.r., with diabetes duration 15.2 +/- 10.7 yr, and HbA1c 7.6 +/- 1.1%. Hypoglycaemic thresholds for hormones, symptoms, awareness and cognitive function using the 4-choice reaction time test (4RT), were measured every 30 min during a 150 min stepped 4.4 to 2.2 mM hypoglycaemic hyperinsulinemic clamp. We found that 4RT- accuracy deteriorated earlier than 4RT-time (3.2 and 2.7 mM, respectively, p<0.01), and that both correlated poorly with HbA1C before and after adjustment for age and diabetes duration (r=0.11, and 0.18, respectively). On the opposite, adrenaline, autonomic and neuroglycopenic symptoms, and awareness significantly correlated with HbA1c values (r=0.56, 0.70, 0.61, and 0.63, after adjustment, respectively). Furthermore, after allocating the patients into two subgroups according to HbA1c values (<8% n=12, and >=8% n=7), we found that, as opposed to other thresholds, accuracy and 4RT-time were minimally and not significantly influenced by glycaemic control, therefore exhibiting the smaller glucose thresholds shifts (- 0.2 and - 0.5 mM for accuracy and time, respectively, vs. 0.6 -0.8 for other thresholds). IN CONCLUSION: 1) the hypoglycaemic thresholds for cognitive dysfunction shift with strict glycaemic control, but not significantly and less than other thresholds, 2) as opposed to other reports, accuracy deteriorates earlier than speed during the 4RT test, and 3) these "maladapted" reactions may contribute to the higher risk for severe hypoglycaemia in subjects with tight glycaemic control.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".