Mortality Reduction for Fever, Hyperglycemia, and Swallowing Nurse-Initiated Stroke Intervention
Bibliographic record
Abstract
Background and Purpose— Implementation of nurse-initiated protocols to manage fever, hyperglycemia, and swallowing dysfunction decreased death and disability 90 days poststroke in the QASC trial (Quality in Acute Stroke Care) conducted in 19 Australian acute stroke units (2005–2010). We now examine long-term all-cause mortality. Methods— Mortality was ascertained using Australia’s National Death Index. Cox proportional hazards regression compared time to death adjusting for correlation within stroke units using the cluster sandwich (Huber–White estimator) method. Primary analyses included treatment group only unadjusted for covariates. Secondary analysis adjusted for age, sex, marital status, education, and stroke severity using multiple imputation for missing covariates. Results— One thousand and seventy-six participants (intervention n=600; control n=476) were followed for a median of 4.1 years (minimum 0.3 to maximum 70 months), of whom 264 (24.5%) had died. Baseline demographic and clinical characteristics were generally well balanced by group. The QASC intervention group had improved long-term survival (>20%), but this was only statistically significant in adjusted analyses (unadjusted hazard ratio [HR], 0.79; 95% confidence interval [CI], 0.58–1.07; P =0.13; adjusted HR, 0.77; 95% CI, 0.59–0.99; P =0.045). Older age (75–84 years; HR, 4.9; 95% CI, 2.8–8.7; P <0.001) and increasing stroke severity (HR, 1.5; 95% CI, 1.3–1.9; P <0.001) were associated with increased mortality, while being married (HR, 0.70; 95% CI, 0.49–0.99; P =0.042) was associated with increased likelihood of survival. Cardiovascular disease (including stroke) was listed either as the primary or secondary cause of death in 80% (211/264) of all deaths. Conclusions— Our results demonstrate the potential long-term and sustained benefit of nurse-initiated multidisciplinary protocols for management of fever, hyperglycemia, and swallowing dysfunction. These protocols should be a routine part of acute stroke care. Clinical Trial Registration— URL: http://www.anzctr.org.au . Unique identifier: ACTRN12608000563369.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".