Efficacy of a New Protocol of Premixed 70/30 Human Insulin in Haitian Youth with Diabetes
Bibliographic record
Abstract
INTRODUCTION: Controlling insulin-treated diabetes is challenging in low-resource settings where only Neutral Protamine Hagedorn (NPH), regular (R) and premixed insulin formulations are available, self-monitoring of blood glucose (SMBG) supplies are scarce and food insecurity is common. We examined the impact of a treatment protocol that includes sliding scale-based 70/30 insulin adjustments in Haiti. METHODS: Thirty young patients aged 11-28 years with diabetes treated with premixed 70/30 insulin twice daily were included in the study. The participants performed one or two daily self-monitoring of blood glucose (SMBG) tests and attended our diabetes clinic monthly. They were randomized to two treatment groups, with one group remaining on the 70/30 insulin formulation (group 70 [G70]) and the other group switching to self-mixed NPH + R (group NR [GNR]). Sliding scales for insulin correction doses and meal insulin doses were designed based on the total daily insulin dose (TDD), carbohydrate ratio and insulin sensitivity factor. SMBG tests and insulin were administered before the morning and evening meals. The frequency of visits to the diabetes clinic was increased to biweekly during a 14-week follow-up. RESULTS: Fifteen patients of each group were included in the analysis. Baseline characteristics, increase in total daily dose and number of missed SMBG tests and skipped meals at 14 weeks did not differ between the two groups. Hemoglobin A1c (HbA1c) decreased from 9.5% (interquartile range [IQR] 8.8, 10.5) (80.3 mmol/mol) to 8.0% (IQR 7.1%, 9.0%) (63.9 mmol/mol) in G70 (p = 0.01), and from 10.6% (IQR 8.1,% 13.1)% (92.4 mmol/mol) to 9.0% (IQR 7.6%, 9.6%) (74.9 mmol/mol) in GNR (p = 0.10), with no significant between-group difference in reductions (p = 0.12). No serious acute complications were reported. Stopping the use of sliding scales and resuming monthly visits increased HbA1c to values not significantly different from baseline in both groups after 15 weeks. CONCLUSION: The use of sliding scales adjusted for missed SMBG tests and skipped meals, and frequent clinic visits that focus on patient self-management education significantly improved glycemic control in the patients with youth-onset diabetes in our study treated with premixed 70/30 human insulin in a low-resource setting.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".