Journal of Marine Medical Society

ORIGINAL ARTICLE
Year
: 2020  |  Volume : 22  |  Issue : 1  |  Page : 25--29

Fracture risk assessment in postmenopausal elderly women of an urban area using fracture prediction tools: A cross-sectional study


Gaurav Mittal1, Mohammed Schezan Iqbal2, Yogesh Sharma3, Manish Prasad4, Nishant Lamba5 
1 Department of Orthopaedics, MH Kirkee, Pune, India
2 Department of Orthopaedics, INHS Kalyani, Visakhapatnam, Andhra Pradesh, India
3 Command Medical Officer, Western Naval Command, Mumbai, India
4 Department of Orthopaedics, AFMC, Pune, India
5 Armed Forces Medical College, Pune, India

Correspondence Address:
Surg Lt Cdr Mohammed Schezan Iqbal
Department of Orthopaedics, INHS Kalyani, Visakhapatnam - 530 005, Andhra Pradesh
India

Context: Osteoporosis is a commonplace metabolic disorder affecting millions of women worldwide. This study highlights the prevalence of various risk factors associated with the development of osteoporosis in postmenopausal women in the Indian population and the determination of risk of fractures in the same using questionnaire-based tools. Aims: The aim of the study is to estimate the prevalence of risk factors for fractures and determine the 10-year probability of developing major osteoporotic fracture and major hip fractures using QFracture score and Garvan Fracture risk calculator in postmenopausal women. Settings and Design: This was a cross-sectional analytical study. Subjects and Methods: A total of 384 patients were evaluated to estimate the prevalence of risk factors for fractures and the 10-year probability of developing major osteoporotic fracture and major hip fractures along with comparison of clinical risk factors between patients with history of prior falls and patients without history of prior falls using the QFracture score and Garvan Fracture risk calculator. Statistical Analysis Used: Mann–Whitney U-test for estimating the overall 10-year risk of developing major osteoporotic and hip fractures using the two scoring systems. Results: The age range of our study population was 50–86 years, while the mean age was 59.86 ± 8.86 years. The most prevalent risk factor for osteoporotic fractures in our study was diabetes mellitus (n = 98 [25.5%]), and the least prevalent risk factor was chronic kidney disease (n = 4 [1.04%]). We also estimated the overall 10-year risk of developing major osteoporotic and hip fractures in two groups: Group 1 (with a history of falls) and Group 2 (without any history of falls). Conclusion: QFracture score and Garvan tool are easily administrable, internationally validated questionnaires which provide definitive information related to risk factors for development of osteoporosis.


How to cite this article:
Mittal G, Iqbal MS, Sharma Y, Prasad M, Lamba N. Fracture risk assessment in postmenopausal elderly women of an urban area using fracture prediction tools: A cross-sectional study.J Mar Med Soc 2020;22:25-29


How to cite this URL:
Mittal G, Iqbal MS, Sharma Y, Prasad M, Lamba N. Fracture risk assessment in postmenopausal elderly women of an urban area using fracture prediction tools: A cross-sectional study. J Mar Med Soc [serial online] 2020 [cited 2020 Oct 25 ];22:25-29
Available from: https://www.marinemedicalsociety.in/article.asp?issn=0975-3605;year=2020;volume=22;issue=1;spage=25;epage=29;aulast=Mittal;type=0