Eva Gallego. MD, PhD. F Javier Ortiz, M Teresa Vidan, Selene Soria, Veronica Garcia, John Omonte, Pedro Abizanda, M Isabel Valades, Silvia Oreja and J Antonio Serra.
Geriatrics Department.
Gregorio Marañón Universitary Hospital, Madrid, Spain
Posters & Accepted Abstracts: J Gerontol Geriatr Res
Background/aim: Estimation of mortality in elderly patients is difficult yet very important when planning care.
Previous tools are complicated or do no take into account some major determinants of mortality (i.e., frailty).
We designed a simple, accurate, and non???disease???specific tool to predict individual mortality risk after hospital
discharge in older adults.
Methods: Patients admitted to the Acute Geriatric Unit were assessed at adission and at discharge and contacted 6
and 12 months later. Determinants of mortality were obtained. Using multivariable analysis, beta coeffcicients were
calculated to build 2 scores able to predict mortality at 6 and 12 months after discharge. The scores were tested on
a sample comprising 75 % of the patients, who were randomly selected; they were validated using the remaining 25
%. Discrimination was assessed using ROC curves. Scores were calculated for each patient and divided into tertiles.
Survival analysis was performed.
Results: Determinants of mortality at 6 months were dependent ambulation at baseline, full dependence at discharge,
length of stay, pluripatology, pressure ulcers, low grip strength, malignacy, and male gender. At 12 months the
determinants were: dependent amblation at baseline, full dependence at discharge, pluripatology, low BMI, low grip
strength, heart failure, malignacy, and male gender. Discrimination and calibration were excellent. Survival analysis
demonstrated different survival trajectories (p<0.001) for each tertile in both scores.
Conclusions: Our incices provide accurate prognostic information in elderly patients after discharge. They can be
calculated easily, quickly and do not require technical or laboratory support, thus endorsing their value in dalily
clinical practice.