Validation of an Insulin Infusion Nomogram for Intensive Glucose Control in Critically Ill Patients
Bibliographic record
Abstract
STUDY OBJECTIVE: To evaluate the effectiveness, safety, and associated patient outcomes of a simplified, nurse-directed insulin nomogram designed to achieve intensive blood glucose level control (target range 90-144 mg/dl). DESIGN: Prospective study with a retrospective control group. SETTING: A medical-surgical intensive care unit (ICU) in a quaternary care, university-affiliated hospital in an urban center. PATIENTS: Eighty-six critically ill adult patients (aged>or=18 yrs) requiring blood glucose control, with 42 in the retrospective control group and 44 in the prospective nomogram group. INTERVENTION: Control patients received insulin subcutaneously or intravenously based on ad hoc insulin sliding scales; nomogram patients received intravenous insulin at a rate specified by the nomogram, based on capillary blood glucose levels measured at the bedside. MEASUREMENTS AND MAIN RESULTS: Insulin infusion in the prospective patient group was titrated by the bedside nurse based on a predefined nomogram to attain the target blood glucose level. The retrospective control group was used as a comparison to assess the safety and effectiveness of the nomogram. Fewer patients in the nomogram (32%) than control (67%) group had a diagnosis of diabetes mellitus on admission. Overall, blood glucose levels in the nomogram group were within the target range 52% of the time versus 20% in the control group (p<0.001). Morning blood glucose levels were significantly lower compared with the control group (mean+/-SD 128+/-32 vs 176+/-50 mg/dl, p<0.001). Nomogram patients achieved target blood glucose levels faster than control patients (median 15 vs 66 hrs, p<0.0001). This improved blood glucose control remained statistically significant after adjusting for baseline differences in diabetes status. Hyperglycemia occurred less often in the nomogram than the control group (14% vs 53%, p<0.0001), and hypoglycemia occurred more often (3.8% vs 2.2%, p=0.004). The frequency of severe hypoglycemia was similar in both groups (0.2% vs 0.4%, p=NS). Such control required slightly more blood glucose checks/day in the nomogram group (7.1+/-1.5 vs 5.8+/-1.1, p<0.001). No significant reduction was observed in duration of vasopressor or antibiotic therapy or in length of stay in the ICU. CONCLUSION: This study demonstrated that intensive blood glucose control is achievable using a nurse-directed nomogram. This improved control was achieved, regardless of diabetes status of the patient, without substantially compromising safety or increasing resource use.
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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 | 0.010 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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 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".