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Predictions for survival based on monocyte IL-6 secretion, were still valid after adjusting for gender, age, TNM stage, albumin and ESR levels.
Actuarial survival analysis emphasises the importance of frequently revising predictions for survival in high-risk infants, particularly during the first week of life.
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Recently, this model has been externally validated in Western patients with colon cancer and acceptable prediction for survival of patients with stage III was observed [ 8].
As illustrated in Figure 1 and listed in Tables 4, these metrics can subsequently be evaluated and implemented into parametric TTE models as predictors for OS, thus providing a model-based prediction for survival benefit.
Cao ([2010]) also found that use of observed rather than predicted stand attributes for disaggregation led to improved predictions for tree survival and diameter growth, i.e. the quality of the tree-level predictions in disaggregation depended on the reliability of the stand predictions.
Wang, M. & Long, Q. Addressing issues associated with evaluating prediction models for survival endpoints based on the concordance statistic.
Our prediction model for survival after ECPR in the ED used these prognostic factors.
Several other studies reported prediction models for survival in veno-arterial extracorporeal membrane oxygenation (VA-ECMO) [21 24].
The prediction model for survival to discharge showed a c-statistic of 0.875 955% CI 0.798 0.930, p < 0.001).
Other studies of prediction models for survival after ECPR for in-hospital cardiac arrest have identified a cutoff age of 66 years [16, 25].
The objective of this study was to determine the key indicators and develop a prediction model for survival to hospital discharge in patients with sudden cardiac arrest who received ECPR.
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