Literature DB >> 30879213

Predictors of long-term survival after hip fractures?-5-year results of a prospective study in Germany.

Tom Knauf1, Benjamin Bücking2, Mathias Bargello1, Sebastian Ploch1, Christopher Bliemel1, Matthias Knobe3, Steffen Ruchholtz1, Daphne Eschbach1.   

Abstract

The incidence of hip fractures is increasing due to demographic transition. Data on long-term survival and influencing factors are sparse. Our prospective observational study with 395 patients shows a survival of 38% after 5 years. Significant risk factors were male gender, higher age, lower Barthel Index, lower Charlson Comorbidity Score, lower Mini-Mental State Examination, and delirium during hospitalization.
PURPOSE: The incidence of hip fractures is increasing due to demographic transition. Until now, they are associated with poor results and high mortality rates. Data on long-term survival and influencing factors are sparse. Therefore, a prospective observational study was conducted.
METHODS: Patients ≥ 60 years with hip fracture were included in this prospective study between 2009 and 2011. Demographic parameters, as well as ASA Score, pre-fracture Barthel Index and EQ-5D, Mini-Mental State Examination, Charlson Comorbidity Score, fracture type, type of surgical treatment, place of discharge, and arising complications were registered. Outcome parameter was survival during a 5-year follow-up period.
RESULTS: A total of 539 patients attended to our emergency room during the period of recruitment. The recruitment rate was 75%. A total of 402 patients were included; 7 were lost to follow-up, and 152 (38%) survived the study period. The mortality was more than 25% in the first year after fracture. Subsequently, it was between 7 and 9% per year. In the multivariate analysis, significant risk factors for dying were male gender (p = 0.002), higher age (p < 0.001), lower Charlson Comorbidity Score (p = 0.033), lower Barthel Index (p = 0.024), lower Mini-Mental State Examination (p = 0.002), and occurrence of delirium during hospitalization (p = 0.008).
CONCLUSION: Our results confirm poor results of geriatric patients after hip fracture. While early results might be influenced by optimal fracture care, long-term results seem to be determined by not changeable patient factors. Nevertheless, more than one third of surviving patients after 5 years justify the elaborate treatment algorithms for these fragile patients.

Entities:  

Keywords:  5-year mortality; Geriatric patient; Hip fracture; Mortality; Risk factors

Mesh:

Year:  2019        PMID: 30879213     DOI: 10.1007/s11657-019-0586-1

Source DB:  PubMed          Journal:  Arch Osteoporos            Impact factor:   2.617


  7 in total

1.  Evaluating the performance of the Charlson Comorbidity Index (CCI) in fracture risk prediction and developing a new Charlson Fracture Index (CFI): a register-based cohort study.

Authors:  A Clausen; S Möller; M K Skjødt; B H Bech; K H Rubin
Journal:  Osteoporos Int       Date:  2022-01-06       Impact factor: 4.507

2.  Predictors of poor functional outcomes and mortality in patients with hip fracture: a systematic review.

Authors:  Bang Yu Xu; Shi Yan; Lian Leng Low; Farhad Fakhrudin Vasanwala; Sher Guan Low
Journal:  BMC Musculoskelet Disord       Date:  2019-11-27       Impact factor: 2.362

3.  Predicting life expectancy after geriatric hip fracture: A systematic review.

Authors:  Alexander Lee; Sara Weintraub; Ianto Lin Xi; Jaimo Ahn; Joseph Bernstein
Journal:  PLoS One       Date:  2021-12-15       Impact factor: 3.240

4.  Baseline conditions and nutritional state upon hospitalization are the greatest risks for mortality for cardiovascular diseases and for several classes of diseases: a retrospective study.

Authors:  Lara Loreggian; Elena Tagliabue; Filippo Giorgini; Ahmed S Zakaria; Marco Fanchini; Annamaria Veronelli; Antonio E Pontiroli
Journal:  Sci Rep       Date:  2022-06-25       Impact factor: 4.996

5.  Long-term survival of femoral neck fracture patients aged over ninety years: Arthroplasty compared with nonoperative treatment.

Authors:  Yang Liu; Chong-Wei Zhang; Xiao-Dan Zhao
Journal:  BMC Musculoskelet Disord       Date:  2020-04-08       Impact factor: 2.362

6.  Medical and economic consequences of perioperative complications in older hip fracture patients.

Authors:  Tom Knauf; Juliana Hack; Juliane Barthel; Daphne Eschbach; Carsten Schoeneberg; Steffen Ruchholtz; Benjamin Buecking; Rene Aigner
Journal:  Arch Osteoporos       Date:  2020-11-06       Impact factor: 2.617

7.  Prognostic value of orthogeriatric assessment parameters on mortality: a 2-year follow-up.

Authors:  Andreas Wiedl; Stefan Förch; Annabel Fenwick; Edgar Mayr
Journal:  Eur J Trauma Emerg Surg       Date:  2021-06-25       Impact factor: 2.374

  7 in total

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