An Economic Evaluation of Activated Protein C Treatment for Severe Sepsis
Bibliographic record
Abstract
BACKGROUND: Recombinant human activated protein C was shown in the Recombinant Human Activated Protein C Worldwide Evaluation in Severe Sepsis (PROWESS) study to reduce mortality among patients with severe sepsis. A post hoc reanalysis by the Food and Drug Administration (FDA) of data from this study suggested that the reduction in mortality was restricted to patients with Acute Physiology and Chronic Health Evaluation (APACHE II) scores of 25 or more. METHODS: We estimated the cost effectiveness of activated protein C as compared with conventional care for patients with severe sepsis. We performed an economic analysis involving all patients, as well as analyses of subgroups defined according to age and severity of illness. The probabilities of transition between clinical states and the estimates of resource use were derived from a population-based cohort of patients with severe sepsis. We used data on the effectiveness of activated protein C from the PROWESS study and analyses by the FDA. RESULTS: The cost per life-year gained by treating all patients with activated protein C was $27,936. It was more cost effective to treat patients with an APACHE II score of 25 or more ($24,484 per life-year gained) than those with a lower APACHE II score ($35,632 per life-year gained). The cost effectiveness of treating patients with an APACHE II score of 24 or less increased to $575,054 per life-year gained when the FDA's estimates of effectiveness were considered. For patients with an APACHE II score of 25 or more, the cost per life-year gained increased with age ($16,309 for patients less than 40 years of age; $28,100 for those 80 years of age or older). CONCLUSIONS: Activated protein C is relatively cost effective when targeted to patients with severe sepsis, greater severity of illness (an APACHE II score of 25 or more), and a reasonable life expectancy if they survive the episode of sepsis. Further research is needed to determine the cost effectiveness of activated protein C for patients with sepsis and less severe illness.
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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 | 0.000 |
| 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) | 0.001 | 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".