Long-Term (10-Year) Mortality of Younger Previously Healthy Patients With Severe Sepsis/Septic Shock Is Worse Than That of Patients With Nonseptic Critical Illness and of the General Population
Bibliographic record
Abstract
OBJECTIVES: Long-term (1- to 10-year) outcomes after severe sepsis in previously healthy persons are unknown. We aimed to determine the 1- to 10-year mortality rates of previously healthy patients with severe sepsis and compare these to mortality rates of patients with nonseptic critical illness and the general population. DESIGN: A prospective cohort study of 2,289 patients from one mixed medical-surgical ICU and one cardiovascular surgery ICU. Age- and gender-comparable general British Columbia population was used as comparison. Patients were followed from the date of admission to the ICU to January 31, 2013. Provincial vital statistics were used to determine the patients' date of death. For the general population comparison, expected survival was obtained from life tables of the population of British Columbia, Canada. SETTING: A quaternary-level provincial referral hospital in Vancouver, British Columbia, Canada. PATIENTS: Two thousand two hundred eighty-nine patients from one mixed medical-surgical ICU and one cardiovascular surgery ICU. Age- and gender-comparable general British Columbia population was used for comparison. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Patients with severe sepsis without comorbidities had higher mortality from 1 to 10 years than general British Columbia population (p < 0.01). Younger patients with severe sepsis (< 60 yr) had the worst 1- to 5-year and 5- to 10-year mortality (hazard ratio [95% CI], 17.8 [13.4-24.8] and 6.0 [4-9]) compared with the general population. Patients with severe sepsis had significantly poorer 1- to 10-year mortality rates (30.5%) compared with patients with nonseptic critical illness (22.1%) and patients who have undergone cardiovascular surgery (15.9%). Patients with sepsis had higher mortality rates from 1-5 years and 5-10 years than the general British Columbia population (hazard ratio [95% CI], 4.5 [2.2-9.1] and 2.2 [0.9-14.7]). CONCLUSIONS: Previously healthy patients suffering an episode of severe sepsis have increased long-term mortality compared with patients with nonseptic critical illness and a general population.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".