Predictors of Mortality in Older Hip Fracture Inpatients Admitted to an Orthogeriatric Unit in Oslo, Norway
Aged, 80 and over
Male
Aging
Inpatients
Databases, Factual
Health Services for the Aged
Hip Fractures
Norway
Age Factors
Length of Stay
Body Mass Index
3. Good health
03 medical and health sciences
Logistic Models
0302 clinical medicine
Geriatrics
Confidence Intervals
Health Status Indicators
Humans
Regression Analysis
Female
Mortality
Aged
DOI:
10.1177/0898264310378040
Publication Date:
2010-09-30T03:34:50Z
AUTHORS (4)
ABSTRACT
Objectives: To identify to which degree patient-related factors (age, gender, place of residence, general health condition, comorbidity) and hospital-related factors (waiting time for surgery, type of surgery, in-hospital complications, length of stay) may predict 1-year mortality in elderly hip fracture patients in an orthogeriatric unit, to optimize treatment and care. Method: In-hospital patient information was routinely collected by multidisciplinary staff and entered into a database. Information about mortality was obtained for 567 patients aged 65 and above. Multivariate logistic regression was performed. Results: Overall mortality was 23.5%, but there was a large variation in mortality according to age, gender, comorbidity, and place of residence. Independent predictors of mortality were admittance from nursing home (risk ratio [RR] = 3.24, 95% confidence interval [CI] = 2.37-4.43 compared with home dwellers) and a higher American Society of Anesthesiologists (ASA) score (RR = 1.75 and 95% CI = 1.24-2.46, for ASA ≥ 3 compared with ASA ≤ 2). Male gender, increasing age, increasing number of comorbid conditions, and having fallen indoors were indicators, but not independent predictors, of higher mortality. Discussion: Almost one fourth of older hip fracture patients in this unit died within a year. The most important predictor was admittance from nursing home, which was associated with comorbidity and frailty. More attention to patients from nursing homes is needed in the health care system.
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