Trends in the Hospitalization of Ischemic Stroke in the United States, 1998–2007
Bibliographic record
Abstract
BACKGROUND: The late 1990s/early 2000s was a time of change in both the prevention and acute care of ischemic stroke, with primary prevention driven by increased utilization of antihypertensive, antiplatelet, anticoagulation, and lipid-lowering agents. AIM: To examine whether ischemic stroke hospitalization rates and outcomes in the United States have changed. METHOD: We retrospectively identified 894 169 hospitalizations with a primary diagnosis of ischemic stroke from 1 January 1998 through to 31 December 2007 in the Nationwide Inpatient Sample, the largest all-payer healthcare database in the United States. Annual, national case estimates were combined with US Census data to derive age-adjusted and age-specific population hospitalization rates. Temporal trends were tested using linear regression. RESULTS: From 1998 through 2007, there were an estimated 4 382 336 ischemic stroke hospitalizations in the United States. Overall, the age-adjusted rate of ischemic stroke hospitalization decreased from 184 to 128 per 100 000 (P < 0·0001). Age-specific rates decreased among those 55+ years old (P < 0·0001), but increased among those 25-34 and 35-44 years old (P < 0·001 and P < 0·0001, respectively). Rates among those <25 and 45-54 years old were unchanged. In-hospital mortality decreased from 7·0% (standard error 0·1) to 5·4% (standard error 0·1) (P < 0·0001). Case proportion at the highest quintile of hospitals by annual caseload increased from 54·0% (standard error 2·1) to 61·8% (standard error 2·0) (P < 0·0001). Mean adjusted hospitalization costs increased from $9273 (standard deviation 199) to $10 524 (standard deviation 77) (P < 0·0001). CONCLUSION: In 1998 through to 2007, the overall rate of ischemic stroke hospitalization in the United States decreased. However, rates among young adults increased. In-hospital mortality rates decreased over the study period.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".