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A Comprehensive Analysis of the Causes and Predictors of 30-Day Mortality Following Hip Fracture Surgery
BACKGROUND: A fracture neck of femur is the leading cause of injury-related mortality in the elderly population. The 30-day mortality figure is a well utilised marker of clinical outcome following a fracture neck of femur. Current studies fail to analyse all patient demographic, biochemical and como...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Orthopaedic Association
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5334018/ https://www.ncbi.nlm.nih.gov/pubmed/28261422 http://dx.doi.org/10.4055/cios.2017.9.1.10 |
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author | Sheikh, Hassaan Qaiser Hossain, Fahad Siddique Aqil, Adeel Akinbamijo, Babawande Mushtaq, Vhaid Kapoor, Harish |
author_facet | Sheikh, Hassaan Qaiser Hossain, Fahad Siddique Aqil, Adeel Akinbamijo, Babawande Mushtaq, Vhaid Kapoor, Harish |
author_sort | Sheikh, Hassaan Qaiser |
collection | PubMed |
description | BACKGROUND: A fracture neck of femur is the leading cause of injury-related mortality in the elderly population. The 30-day mortality figure is a well utilised marker of clinical outcome following a fracture neck of femur. Current studies fail to analyse all patient demographic, biochemical and comorbid parameters associated with increased 30-day mortality. We aimed to assess medical risk factors for mortality, which are easily identifiable on admission for patients presenting with a fractured neck of femur. METHODS: A retrospective review of a prospectively populated database was undertaken to identify all consecutive patients with a fracture neck of femur between October 2008 and March 2011. All factors related to the patient, injury and surgery were identified. The primary outcome of interest was 30-day mortality. Univariate and subsequent multivariate analyses using a backward stepwise likelihood ratio Cox regression model were performed in order to establish all parameters that significantly increased the risk of death. RESULTS: A total of 1,356 patients were included in the study. The 30-day mortality was 8.7%. The most common causes of death included pneumonia, sepsis and acute myocardial infarction. Multiple regression analysis revealed male gender, increasing age, admission source other than the patient's own home, admission haemoglobin of less than 10 g/dL, a history of myocardial infarction, concomitant chest infection during admission, increasing Charlson comorbidity score and liver disease to be significant predictors of mortality. CONCLUSIONS: This study has elucidated risk factors for mortality using clinical and biochemical information which are easily gathered at the point of hospitalization. These results allow for identification of vulnerable patients who may benefit from a prioritisation of resources. |
format | Online Article Text |
id | pubmed-5334018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The Korean Orthopaedic Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-53340182017-03-03 A Comprehensive Analysis of the Causes and Predictors of 30-Day Mortality Following Hip Fracture Surgery Sheikh, Hassaan Qaiser Hossain, Fahad Siddique Aqil, Adeel Akinbamijo, Babawande Mushtaq, Vhaid Kapoor, Harish Clin Orthop Surg Original Article BACKGROUND: A fracture neck of femur is the leading cause of injury-related mortality in the elderly population. The 30-day mortality figure is a well utilised marker of clinical outcome following a fracture neck of femur. Current studies fail to analyse all patient demographic, biochemical and comorbid parameters associated with increased 30-day mortality. We aimed to assess medical risk factors for mortality, which are easily identifiable on admission for patients presenting with a fractured neck of femur. METHODS: A retrospective review of a prospectively populated database was undertaken to identify all consecutive patients with a fracture neck of femur between October 2008 and March 2011. All factors related to the patient, injury and surgery were identified. The primary outcome of interest was 30-day mortality. Univariate and subsequent multivariate analyses using a backward stepwise likelihood ratio Cox regression model were performed in order to establish all parameters that significantly increased the risk of death. RESULTS: A total of 1,356 patients were included in the study. The 30-day mortality was 8.7%. The most common causes of death included pneumonia, sepsis and acute myocardial infarction. Multiple regression analysis revealed male gender, increasing age, admission source other than the patient's own home, admission haemoglobin of less than 10 g/dL, a history of myocardial infarction, concomitant chest infection during admission, increasing Charlson comorbidity score and liver disease to be significant predictors of mortality. CONCLUSIONS: This study has elucidated risk factors for mortality using clinical and biochemical information which are easily gathered at the point of hospitalization. These results allow for identification of vulnerable patients who may benefit from a prioritisation of resources. The Korean Orthopaedic Association 2017-03 2017-02-13 /pmc/articles/PMC5334018/ /pubmed/28261422 http://dx.doi.org/10.4055/cios.2017.9.1.10 Text en Copyright © 2017 by The Korean Orthopaedic Association http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Sheikh, Hassaan Qaiser Hossain, Fahad Siddique Aqil, Adeel Akinbamijo, Babawande Mushtaq, Vhaid Kapoor, Harish A Comprehensive Analysis of the Causes and Predictors of 30-Day Mortality Following Hip Fracture Surgery |
title | A Comprehensive Analysis of the Causes and Predictors of 30-Day Mortality Following Hip Fracture Surgery |
title_full | A Comprehensive Analysis of the Causes and Predictors of 30-Day Mortality Following Hip Fracture Surgery |
title_fullStr | A Comprehensive Analysis of the Causes and Predictors of 30-Day Mortality Following Hip Fracture Surgery |
title_full_unstemmed | A Comprehensive Analysis of the Causes and Predictors of 30-Day Mortality Following Hip Fracture Surgery |
title_short | A Comprehensive Analysis of the Causes and Predictors of 30-Day Mortality Following Hip Fracture Surgery |
title_sort | comprehensive analysis of the causes and predictors of 30-day mortality following hip fracture surgery |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5334018/ https://www.ncbi.nlm.nih.gov/pubmed/28261422 http://dx.doi.org/10.4055/cios.2017.9.1.10 |
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