ICU sedation, delirium & recovery
Frailty’s influence on 30-day mortality in old critically ill ICU patients: a bayesian analysis evaluating the clinical frailty scale
Main findingResult — go to the resultMedian odds ratio 1.60 95% CI 1.45–1.76Authors' conclusion
This research demonstrates the significant impact of frailty on short-term mortality in critically ill elderly patients, particularly when the Clinical Frailty Scale (CFS) is used as a continuous measure.
Study context
- Population
- Older critically ill ICU patients (median age 82 years)
- Participants
- 10,363 patients · 3 prospective studies
- Exposure
- Frail vs non-frail
- Outcome
- All-cause mortality
- Follow-up
- 30 days
Methodological detailshierarchical Bayesian logistic regression, adjusted for covariables, range of priors, consensus minimal clinically important difference (MCID)
- Hierarchical Bayesian logistic regression
- Adjusted for covariables
- Range of priors
- Consensus MCID
Main finding
As reported in the abstract
Median odds ratio
1.60
95% CI 1.45–1.76
By group
Frail vs Non-frail
median OR 1.60 (95% CI 1.45–1.76)
- Overall 30-day mortality
- 43%
- Probability of adverse effect (OR > 1)
- 100%
- Probability of exceeding MCID (OR > 1.5)
- 90%
Observational data: associations, not effects.
Further findings
30-day mortality, Clinical Frailty Scale (CFS) as a continuous variable
| Median OR (CI) | ||
|---|---|---|
| Clinical Frailty Scale (continuous)Bayesian analysis | 1.19 (1.16–1.22) | |
| 0.512Median odds ratio (log scale) |
- 30-day mortality, CFS as a continuous variable: over 99% probability of effect more significant than 1.5 times the MCID
Original publication
Frailty’s influence on 30-day mortality in old critically ill ICU patients: a bayesian analysis evaluating the clinical frailty scale. Ann Intensive Care. Published 13 December 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →