Chronic Kidney Disease and Bleeding Complications After Intravenous Thrombolytic Therapy for Acute Ischemic Stroke
Bibliographic record
Abstract
BACKGROUND: The safety of intravenous thrombolysis in ischemic stroke (IS) patients with chronic kidney disease (CKD) is uncertain. We assessed whether CKD is associated with bleeding complications after intravenous tissue-type plasminogen activator administration to patients with IS. METHODS AND RESULTS: Data were analyzed from 44 410 patients with IS treated with intravenous tissue-type plasminogen activator in the Get With The Guidelines-Stroke Program. Glomerular filtration rate based on admission serum creatinine was categorized as dichotomous (presence of CKD as <60) or as distinct categories: normal (≥90), mild (≥60-<90), moderate (≥30-< 60), severe (≥15-<30), and kidney failure (<15 or dialysis). Primary outcomes evaluated were symptomatic intracranial hemorrhage and serious systemic hemorrhage; secondary outcomes were in-hospital mortality, independent functional status. There were 15 191 of 44 410 (34%) intravenous tissue-type plasminogen activator-treated IS patients with CKD. Presence of CKD (versus no CKD) was not associated with risk-adjusted symptomatic intracranial hemorrhage (adjusted odds ratio, 1.0; 95% confidence interval: 0.91-1.10) or serious systemic hemorrhage (adjusted odds ratio, 0.97; 95% confidence interval: 0.80-1.18) and did not significantly vary by kidney dysfunction stage for either of these primary end points in multivariable analyses. Compared with patients with normal kidney function, those with CKD were more likely to die in the hospital (adjusted odds ratio, 1.22; 95% confidence interval: 1.14-1.32) and have an unfavorable discharge functional status (adjusted odds ratio, 1.13; 95% CI: 1.07-1.19). CONCLUSIONS: Presence of CKD among patients with IS treated with intravenous tissue-type plasminogen activator is associated with higher unadjusted odds of symptomatic intracranial hemorrhage or serious systemic hemorrhage, but this is explained by non-CKD related factors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".