title: Prognostic factors of long-term survival in geriatric inpatients. Should we change the recommendations for the oldest people?
abstract: OBJECTIVE
  Identification of optimal predictors of the 5.5-year survival in former geriatric inpatients.Investigation of the direction and shape of the relationship between mortality risk and its predictors.
  
  
  METHODS
  Retrospective survival analysis with the application of the Cox proportional hazards model.
  
  
  METHODS
  Teaching geriatric unit.
  
  
  METHODS
  478 inpatients (mean age 77.9; +6.8) discharged from geriatric ward during year 2008, without any exclusion criteria.
  
  
  METHODS
  Comprehensive geriatric assessment of numerous health variables, body mass index (BMI), clinical and biochemical findings, and outcomes of the final diagnosis. Records on the dates of deaths were obtained from the Provincial Office of Population Register.
  
  
  RESULTS
  During the 5.5-year follow-up 209 (43.7%) patients died. In the multivariate setup, six risk factors with an independent impact on mortality were identified: age (p=0.036), cognitive functioning on the Blessed test (p=0.005), score on instrumental ADL (p<0.0001), score on Charlson comorbidity index (p<0.0001), cholesterol level (p<0.0001), BMI (p<0.0001), and hemoglobin level (p=0.02). The latter two predictors exhibited a significant inverted J-shaped association with mortality, i.e., considerably higher risk of death corresponds to the lower values of these variables in comparison to their higher levels.
  
  
  CONCLUSIONS
  Older age, worse IADL and cognitive functioning, and higher comorbidity were recognized as endangering one's long-term survival. On the other hand, moderate obesity (BMI 36), higher cholesterol and the absence of anemia (hemoglobin 13.6 g/dL) are associated with longer survival. Therefore, irrespective of the individualized treatment and physical exercise, nutrient-dense food seems to be a key recommendation to prevent frailty or malnutrition in the oldest and comorbid population.
authors: Barbara Bień, Medical University of Bialystok, Department of Geriatrics, Fabryczna 27, Bialystok, 15-471, Poland, bien@umb.edu.pl;bmbien@bsk.vectranet.pl.
authors: B
authors: B
authors: Bień
authors: K
authors: K
authors: Bień-Barkowska
authors: A
authors: A
authors: Wojskowicz
authors: A
authors: A
authors: Kasiukiewicz
authors: Z B
authors: ZB
authors: Wojszel
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D015897:Comorbidity; D005260:Female; D015577:Geriatric Assessment; D006801:Humans; D007297:Inpatients; D008297:Male; D008875:Middle Aged; D010351:Patient Discharge; D011379:Prognosis; D016016:Proportional Hazards Models; D012042:Registries; D012189:Retrospective Studies; D012307:Risk Factors; D016019:Survival Analysis