Key result
An admission prediction model based on seven variables accurately described hospital mortality in 1,997 ICU patients, whereas a 24-hour model did not.
Why the study?
Does an admission prediction model accurately predict hospital mortality in general medical/surgical ICU patients compared to a 24-h model?
Population
1,997 consecutive admissions to a general medical/surgical ICU
Comparison
Admission prediction model estimating… vs 24-h prediction model utilizing seven variables…
Design
Cohort
Authors
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Supports early ICU risk stratification at admission; leaves open prospective validation and generalizability.
Observational (n=1,997)
Does an admission prediction model accurately predict hospital mortality in general medical/surgical ICU patients compared to a 24-h model?
An admission-based mortality prediction model using seven variables accurately predicts hospital mortality in ICU patients, outperforming a 24-hour model and enabling severity of illness stratification at admission.
Teres et al. (1987) conducted an observational in ICU admission (n=1,997). Admission and 24-h mortality prediction models was evaluated on Hospital mortality. An admission prediction model based on seven variables accurately described hospital mortality in 1,997 ICU patients, whereas a 24-hour model did not.
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