Table 1.
Characteristics of the study population stratified by outcome classes.
Table 2.
Discharged population characteristics.
Table 3.
Factors significantly associated with short-term outcome at the ordered multinomial logistic analysis.
Fig 1.
Short-term outcome probabilities.
(A–E) Graphs of outcome probabilities (y-axis) relative to relevant intervals (x-axis) of the continuous factors age, Disability Rating Scale (DRS) score, acute event onset to hospital admission interval (OAI), Level of Cognitive Functioning Scale (LCFS) score, and Extended Glasgow Outcome Scale (GOSE). (F) Bar plots of the outcome probabilities of the presence/absence of percutaneous endoscopic gastrostomy/nasogastric intubation (PEG/NGI), and (G) coronary artery disease (CAD). OUT I to IV: short-term outcome classes I to IV.
Fig 2.
Cox cumulative mortality incidence.
(A-D) Population-level adjusted mortality curves (dashed black lines). Overall mortality incidence (red line). (D) Overall mortality omitted for clarity. DRS = Disability Rating Scale.
Table 4.
Cox analysis results of long-term outcome.
Fig 3.
Behavior over time of the age hazard ratio (HR) relative to 10 years increase. Shaded area: 95% confidence interval. See S1 Appendix for details on how to compute HR when time interaction is present.
Fig 4.
Decision curve analysis of short-term outcome.
For each outcome, the net benefit curve of the prognostic model (red), assessed using the jack-knife procedure, lies well above the "treat all" (dashed black) and "treat none" (solid black) curves along a relevant portion of the decision threshold.
Fig 5.
Decision curve analysis of long-term outcome.
Net benefit of using the three possible alternatives in the clinical decision-making chain. Use of the prognostic model (red line) results in a higher profile than both "treat all" (dashed black line) and "treat none" (continuous black line) strategies.