Sentence examples for morbidity predictions from inspiring English sources

In other words, respondents were significantly more likely to recommend limitations in aggressive care for a patient with early-stage lung cancer compared with one without cancer, even when the vignettes had identical mortality and morbidity predictions.

Our secondary hypotheses were that between-respondent estimates would have a wide range despite identical patient factors and that mortality and morbidity predictions and vignette factors were associated with recommendations to limit care.

POSSUM system is widely used and validated for 30-day mortality and morbidity prediction.

The optimal ScvO2 cutoff value for morbidity prediction was 64.4%.

Moreover, a multimarker strategy might be also useful in refining risk stratification including mortality and morbidity prediction.

For example, in ICU morbidity prediction, a probabilistic estimate of the patient's outcome is usually preferred to a simpler binary decision rule.

In a study comparing prognostic models for morbidity prediction after cardiopulmonary bypass surgery in an Italian hospital, Biagoli and coworkers [ 1] found a Bayesian linear model to have greater discriminatory power compared with simple scoring models, even when customized to a local population.

To evaluate the capability of morbidity risk prediction of these scoring models, the GIVITI definitions (Italian Group for the Evaluation of Interventions in the ICU) of organ dysfunction and failure were used.

The main purposes of this study were to assess the strength of both the scores in predicting the mortality risk, to check which one gained the best performance, and to ascertain whether they also achieved a good level of morbidity risk prediction in our patient population.

Predictable predictions?

This potential bias in the current status quo of morbidity measurement and prediction leads to pessimistic morbidity scenarios when mortality improvements are projected, and it undermines health expectancy comparisons between groups with different mortality (Riffe et al. 2016).