Risk factors for in-hospital post-hip fracture mortality
Research highlights
► Hip fracture is the most serious consequence of osteoporosis. ► There appears to be no prognostic models to predict the outcome of hospitalization in elderly women and men following a hip facture. ► Advancing age, gender, and pre-fracture concomitant diseases were main risk factors of in-hospital mortality.
Introduction
Hip fracture is one of the most serious consequences of osteoporosis, because it is relatively common in the elderly population, and is associated with increased risk of mortality [1], [2], [3]. Approximately 10% of women and 5% of men aged 60 years or above will sustain a hip fracture during their remaining lifetime [4]. Several studies have shown that approximately 20% of women and 30% of men die in the first year following a hip fracture [2], with men having a higher risk of mortality than women [5]. Worldwide, approximately 1.6 million hip fractures occur in elderly men and women each year, making it one of the most important public health burdens in the world [6].
Virtually all patients with hip fracture are hospitalized. A recent meta-analysis has suggested that the risk of mortality during the first 3 months after a hip fracture (including during hospitalization) is highest, with men having greater risk than women [7]. Indeed, the risk of in-hospital mortality has been estimated to range between 4 and 12% [5], [8], [9], [10]. However, it has not been clear which risk factors are associated with increased risk of in-hospital mortality. While pre-existing co-morbidity seems to be associated with increased risk of post hip-fracture mortality [9], [11], [12], its relative importance in the prognosis of in-hospital mortality has not been documented.
Knowledge of risk factors for mortality in hip fracture patients during hospitalization is critically important, because such knowledge can be translated into prognostic information, which can help allocate clinical care resources and risk counseling for patients and their relatives. Such knowledge can also help identify high-risk patients for early intervention to reduce their risk of death after hospital discharge. The present study sought to examine risk factors, and to develop a prognostic model for predicting absolute risk of in-hospital mortality among hip fracture patients.
Section snippets
Setting and patients
The study was undertaken in a large teaching hospital in the south west of Sydney (Australia) that has approximately 55,000 admissions each year. Study participants were an inception cohort of 1504 women and men aged 50-years or older at the time of admission, with a fracture of the femur between January 1st 1997 and December 31st 2007. The study protocol and procedure were approved by the South Western Area Health Service Human Research Ethics Committee.
Ascertainment of outcome and risk factors
The primary outcome of this study was
Results
Between January 1st 1997 to December 31st 2007, 1504 patients with a hip fracture (410 men and 1094 women) were admitted to the study hospital; among whom, 83 (6%) died during the hospitalization. The median duration of hospital stay was 9 days, 75% of patients having stayed in the hospital for less than 16 days. There was no significant difference in hospital length of stay between survivors and non-survivors.
Baseline clinical and demographic characteristics of hip fracture patients are shown in
Discussion
Hip fracture is the most serious consequence of osteoporosis, because it is associated with increased risk of mortality. The risk of mortality is highest during the first year, particularly during the first 3 months, after the fracture [2], with between 20% and 30% of patients dying during this period. Because almost half of the risk of death during the first year is attributable to in-hospital death, the identification of individuals at high risk of mortality during this early post-fracture
Acknowledgments
Dr. N. Nguyen is supported by a grant from the AMBeR (The Australian Medical Bioinformatics Resource) alliance. Professor T. Nguyen is supported by a fellowship from the Australian National Health and Medical Research Council.
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