Sentence examples for mortality predicted by from inspiring English sources

Mortality predicted by customized SAPS-3 was 15.4% (SMR of 0.46) and mortality predicted by APACHE-II was 13.1% (SMR of 0.54).

Mortality predicted by the SAPS-3 was 25.57% by the general equation and 26.12% by geographical area equation.

The mortality predicted by SAPS-3 (general equation) was 26.98% and the observed 6.7%, Hosmer-Lemeshow (H = 36.47) (p < 0.001).

The observed mortality in the ICU (23 %) and during the whole hospital stay (30%%) differs from mortality predicted by the SAPSII score (42 %).

While expected mortality (predicted by SAPS2 score) was around 40%, patients with TIVAP-related infections had a much lower mortality (9%).

The main variables collected were: Demographic data, diagnosis at the moment of admission, mortality predicted by APACHE II Score, life-sustaining treatments (LSTs), decision of limitations in LSTs, hospital length of stay, and in-hospital mortality rate.

On the basis of linear regression analysis, mortalities predicted by all four systems correlated with each other (P < 0.001 for all combinations).

Yet, observed mortality was much superior to mortality as predicted by the SAPS II score.

There was no difference between the observed hospital mortality (40%) and the expected mortality as predicted by SAPS II (36.6%) or APACHE II (50%).

Comparison of pre-ECMO prediction models The mortality risk predicted by the external scores did not adequately fit with the observed mortality (modified HL test, P <0.01 for all scores, Table  2).

The mortality rate predicted by the TRISS model was higher than the observed mortality, as shown by a W score of 2.3%95%5% CI 1.9%to2.7%7%) survivors in excess (P <0.01).