A dults older than 65 years of age now comprise more than one-half of all ICU admissions in the United States. 1 Approximately 1.4 million elderly (aged Ն 65 years) Medicare benefi ciaries are discharged each year after receiving intensive care. 2 With technological advances, many critically ill elderly adults now survive what were previously fatal illnesses, 3,4 but outcomes can be poor. Among the 33% of elderly ICU patients discharged to skilled-care facilities, nearly one-half are rehospitalized and 25% to 65% die within 6 months. 2,5 While predictive models exist for ICU survivors of prolonged mechanical ventilation and elders hospitalized without intensive care, 6,7 there are no existing clinical prediction tools to help predict outcome explicitly for elderly ICU survivors. A validated prediction model for postdischarge mortality in elderly ICU survivors could (1) risk-stratify patients for clinical trials of novel preventative, rehabilitative, and therapeutic interventions; (2) help determine appropriate levels of postacute care; and (3) aid providers in addressing expectations and end-of-life care with these patients and their families.We aimed to derive and externally validate a prediction model for 6-month mortality among elderly ICU survivors. We hypothesized that including markers of frailty and disability as well as patient preferences regarding resuscitation in our model would be important in predicting 6-month mortality. Withholding life-supporting therapies often indicates