Association of Acute and Chronic Hyperglycemia With Acute Ischemic Stroke Outcomes Post‐Thrombolysis: Findings From Get With The Guidelines‐Stroke
Bibliographic record
Abstract
BACKGROUND: Hyperglycemia has been associated with adverse outcomes in patients with acute ischemic stroke (AIS) and may influence outcomes after tissue plasminogen activator (tPA). We sought to analyze the association of acute and chronic hyperglycemia on clinical outcomes in tPA-treated patients. METHODS AND RESULTS: We identified 58 265 AIS patients from 1408 sites who received tPA from 2009 to 2013 in Get With The Guidelines-Stroke. Acute hyperglycemia at admission was defined as a plasma glucose level >140 mg/dL. Chronic hyperglycemia was defined by plasma glycosylated hemoglobin (HbA1c) >6.5%. Post-tPA outcomes were analyzed using logistic regression. Blood glucose >140 mg/dL and HbA1c >6.5 were associated with worse clinical outcomes (symptomatic intracranial hemorrhage [sICH], life-threatening hemorrhage, and in-hospital mortality and length of stay) in diabetic and nondiabetic patients. Among patients with documented history of diabetes, increasing admission glucose up to 200 mg/dL was associated with increased adjusted odds ratio (aOR) of in-hospital mortality (aOR, 1.07) and sICH (aOR, 1.05) per 10 mg/dL increase in blood glucose. Increasing HbA1C to 8% was associated with increased odds of in-hospital mortality (aOR, 1.19) and sICH (aOR, 1.16) per 1% increase in HbA1c. Similar findings were observed in patients without a documented history of diabetes. There was no further increase in poor outcomes above the blood glucose level of 200 mg/dL or HbA1c >8. CONCLUSION: Acute and chronic hyperglycemia are both associated with increased mortality and worse clinical outcomes in AIS patients treated with tPA. Controlled trials are needed to determine whether acute correction of hyperglycemia can improve outcomes after thrombolysis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".