Factors affecting the risk of hip fractures

Benetos, Ioannis S.; Babis, George C.; Zoubos, Aristides B.; Benetou, Vassiliki; Soucacos, Panayotis N.

doi:10.1016/j.injury.2007.01.001

Cited by 67 publications

(57 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The aim of the present study was to evaluate the recent frequency and demography of hip fractures from the meticulously collected data of a central training and research hospital in the capital city of Turkey, to allow for the estimation of any population changes in the forthcoming years. Hip fractures constitute a major cause of mortality and morbidity among the elderly, with a considerable and increasing economic burden (3,12,18,19). In the present study, 76% of hip fracture patients were over age 65, supporting the suggestion that hip fractures are a major health problem among elderly patients.…”

Section: Discussionsupporting

confidence: 81%

Analysis of the hip fracture records of a central training and research hospital by selected characteristics

Çankaya¹,

Yoldas²,

Cankaya³

et al. 2016

Turk J Med Sci

View full text Add to dashboard Cite

This observational study was conducted at a tertiary central referral hospital in the capital city of Turkey. We identified 687 hip fracture cases between January 2009 and December 2013. They were classified as femoral neck fracture, intertrochanteric femur fracture, and subtrochanteric femur fracture, according to the fracture site. Periprosthetic and pathologic fractures were excluded.Background/aim: Despite the importance of hip fractures, very few studies have assessed their epidemiological characteristics in Turkey. The aim of this study was to evaluate the frequency and demography of hip fractures from the recent data of a central training and research hospital. Materials and methods:In this descriptive study, we identified hip fracture cases between 2009 and 2013. The age, sex, region, injury pattern, and calendar year for all patients were evaluated.Results: Among the 687 patients (488 women, 199 men) described in our clinic's records, 122, 131, 144, 138, and 154 patients applied with hip fractures from the years 2009 to 2013, respectively. The mean ages of the women and men were 74.8 and 68.5 years, respectively. There were 220 patients who had femoral neck fracture (32%), 419 who had intertrochanteric fracture (61%), and 48 who had subtrochanteric fracture (7%). Conclusion:The female geriatric population may have an increasing and distinct hip fracture risk, mainly in the trochanteric region. Furthermore, recent studies that show variations in the frequency and demography of hip fractures highlight the importance of meticulous recording of patients' information. A nationwide survey of different categories of hospitals and various geographic regions of Turkey is also needed to inform effective prevention strategies.

show abstract

Section: Discussionsupporting

confidence: 81%

Analysis of the hip fracture records of a central training and research hospital by selected characteristics

Çankaya¹,

Yoldas²,

Cankaya³

et al. 2016

Turk J Med Sci

View full text Add to dashboard Cite

show abstract

“…The CMAs as defined by Statistics Canada [37] contain heterogeneous conditions of urban and suburban environments which could introduce some noise in data because differences in hip fracture rates from urban and rural populations have been reported [40]. To ensure homogeneity in the urban environment, we restricted the studied areas by using the Local Health Community Service Centre (CLSC) territory as the spatial unit.…”

Section: Subpopulationsmentioning

confidence: 99%

Secular trends of hip fractures in Québec, Canada

et al. 2011

View full text Add to dashboard Cite

show abstract

“…To reduce the incidence of this preventable injury and subsequent adverse outcomes, many studies have identified the risk factors for hip fracture (Benetos et al, 2007;Dubey et al, 1999;Wehren et al, 2003). Recently, a matched case-control study carried out a conditional logistic regression to find out the important risk factors with the combined effects of different risk factors (Lan et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Ensemble artificial neural networks applied to predict the key risk factors of hip bone fracture for elders

Liu

Cui

Chou

et al. 2015

Biomedical Signal Processing and Control

View full text Add to dashboard Cite

Hip bone fracture is one of the most important causes of morbidity and mortality in the elder adults. It is necessary to establish a prediction model to provide suggestions for elders. A total of 725 subjects were involved, including 228 patients with first low-trauma hip fracture and 497 ages-, sex-, and living area-matched controls (215 from the same hospital and 282 from community). All the subjects were interviewed with the same questionnaire, and the answers of the interviewees were recorded to be the database. Three-layer back-propagation Artificial Neural Networks (ANN) models were applied for females and males separately in this study to predict the risk of hip bone fracture for elders. Furthermore, to improve the accuracies and the generalizations of the models, the ensemble ANNs method was applied. To understand variables contributions and find the important variables for predicting hip fracture, sensitivity analysis and connection weights approach were applied. In this study, three ANNs prediction models were tested with different architectures. With the fivefold crossvalidation method evaluating the performances, one of the three models turned out to be the best prediction model and achieved a big success of prediction. The best area under the receiver operating characteristic (ROC) curve and the accuracy of the prediction model are 0.91 ± 0.028 (mean ± SD) and 0.85 ± 0.029 for females, while for males are 0.99 ± 0.015 and 0.93 ± 0.020. With the method of sensitivity analysis and connection weights, input variables were ranked according to contributions/importance, and the top 10 variables show great proportion of contribution to predict hip fracture. The top 10 important variables causing hip fracture for both females and males are similar to our previous results got from logistic regression model and other related researches. In conclusion, ANNs has successfully been to establish prediction models for predicting the risk of hip bone fracture for both female and male elder adults respectively and identified the top 10 important variables from 74 input variables to predict hip bone fracture of elders. This study verified the performance of ANNs to be a highly complex prediction model. Sept 2014Dear Prof. R. Allen, I use the electronic version to send this manuscript to you. The manuscript title is: "Ensemble back-propagation neural networks for predicting the risk of hip bone fracture for elders in Taiwan". We are submitting this material for possible publication in "Biomedical Signal Processing and Control". This material has not been submitted for publication or published elsewhere in whole or part. We believe this manuscript represents an original and significant contribution to the field of "Neural networks for predicting the risk of hip bone fracture" and therefore would like to be considered for publication in "Original Articles". AbstractHip bone fracture is one of the most important causes of morbidity and mortality in the elder adults. It is necessary to establish a prediction mod...

show abstract

Factors affecting the risk of hip fractures

Cited by 67 publications

References 72 publications

Analysis of the hip fracture records of a central training and research hospital by selected characteristics

Analysis of the hip fracture records of a central training and research hospital by selected characteristics

Secular trends of hip fractures in Québec, Canada

Ensemble artificial neural networks applied to predict the key risk factors of hip bone fracture for elders

Contact Info

Product

Resources

About