metricas
covid
Buscar en
Enfermería Clínica
Toda la web
Inicio Enfermería Clínica Fracture risk prediction in post-menopausal women with osteopenia and osteoporos...
Información de la revista
Vol. 28. Núm. S1.
1st International Nursing Scholars Congress. Depok (Indonesia), 15-16 November 2016
Páginas 232-235 (febrero - junio 2018)
Compartir
Compartir
Descargar PDF
Más opciones de artículo
Visitas
3729
Vol. 28. Núm. S1.
1st International Nursing Scholars Congress. Depok (Indonesia), 15-16 November 2016
Páginas 232-235 (febrero - junio 2018)
Acceso a texto completo
Fracture risk prediction in post-menopausal women with osteopenia and osteoporosis: preliminary findings
Visitas
3729
Nik Noor Kaussar Nik Mohd Hattaa,
Autor para correspondencia
kaussar@iium.edu.my

Corresponding author.
, Muhammad Lokmana, Mohd Said Na, Azlina Dauda, Muhammad Ibrahimb, Mohd Ariff Sharifudinc, Samsul Deramanc
a Kulliyyah of Nursing, International Islamic University of Malaysia (IIUM), Kuantan Campus, Pahang, Malaysia
b Kulliyyah of Allied Health Science, International Islamic University of Malaysia (IIUM), Kuantan Campus, Pahang, Malaysia
c Kulliyyah of Medicine, International Islamic University of Malaysia (IIUM), Kuantan Campus, Pahang, Malaysia
Este artículo ha recibido
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Figuras (3)
Mostrar másMostrar menos
Tablas (3)
Table 1. Questionnaire.
Table 2. Characteristic of the participants and the FRAX risk scores.
Table 3. Fracture risk factor.
Mostrar másMostrar menos
Abstract
Objective

The study aims to identify the risk of obtaining a fracture among post-menopausal women with osteopenia and osteoporosis.

Method

This work was a cross-sectional study involving a purposive sample of 87 post-menopausal women who attended the orthopedic and menopause clinics of Hospital Tengku Ampuan Afzan, Kuantan. The data were entered into the WHO fracture risk assessment tool (FRAX®) to predict major fracture and risk for hip fracture in 10 years’ time.

Results

The mean age of the respondents was 61.6 years (SD=7.9). Among the respondents, 50.6% had osteopenia and nearly half (48.3%) had osteoporosis. The mean number of menopausal years of the respondents was 11.9 (SD=8.5), ranging between 1 and 44 years. The FRAX findings indicated 9.7% major osteoporotic fracture probability and 3.5% hip fracture probability, which were denoted as high risk. A Pearson correlation coefficient was computed to assess the relationship between menopausal years and the FRAX major osteoporotic fracture probability. A significant positive correlation was found between the two, but the correlation was weak (r=0.581, n=87, p < 0.001).

Conclusions

The present findings indicate that menopausal years have a positive correlation with the risk of obtaining a fracture.

Keywords:
Post-menopausal women
Fracture risk prediction
FRAX
Osteopenia
Osteoporosis
Texto completo
Introduction

Osteopenia and osteoporosis are conditions of metabolic bone disorders. According to the World Health Organization (WHO), osteoporosis in post-menopausal women is defined as bone mineral density (BMD) T scores ≤ –2.5 of the young adult mean1, and osteopenia, or low bone density, is defined as BMD T score between –1.0 SD and –2.5 SD. These conditions are known as primary osteoporosis as they occur among the elderly and post-menopausal women2,3. The risk of osteoporosis and osteopenia increases as people age. Recent findings have shown that progressive fracture risk is correlated with advancing age4.This silent disease is alarming for post-menopausal women because no specific sign or symptom is evident before the occurrence of fracture. Fragility fracture is a nightmare to all post-menopausal women because it leads to serious complications and even death.

Approximately one in every three women over the age of 50 years will encounter a fragility fracture throughout her life5. About 61% of fragility fractures occurs in women, with female to male ratio of 1.66. Hip fractures among Malaysians above the age of 60 between June 2008 and December 2009 predominantly occurred in females. Majority (82.5%) of these women were post-menopausal at the time of the fracture7. The high incidence of osteoporotic fractures among elderly suggests that it is a significant cause of morbidity and mortality8. Therefore, proper prevention and treatment in approaching this problem is essential. Nowadays, significant developments have occurred in the pharmacotherapy of osteoporosis and efficacious treatments to reduce the risk of fractures. These developments have substantially improved the management of patients with osteoporosis. Unfortunately, the risk of fragility fractures is not yet eliminated because there are still unmet needs requiring a broader range of therapeutic9 and preventive steps.

The prediction of fracture risk is one of the valuable tools in calculating the 10-year probability of obtaining a major fracture and hip fracture10. The incidence of fragility fracture as a major cause of disability, poor quality of life and mortality can be reduced by the proper assessment of fracture risk. FRAX score is a new fracture risk assessment tool (FRAX®) that is widely used in determining a 10-year prediction for possible fractures, and it is recommended by the WHO Collaborating Center for Metabolic Bone Diseases in Sheffield, United Kingdom. This tool includes clinical data and bone mineral density measured by dual-energy X-ray absorptiometry11. Aside from providing a 10-year probability of obtaining fracture, this tool can assist in identifying those who are at the greatest risk of fracture, which can be detected early to aid in planning immediate preventive measures. At the same time, it can support clinical decision making in fracture risk management to reduce fracture-related disability, costs, and mortality. This study aims to identify the fracture risk prediction in post-menopausal women with osteopenia and osteoporosis. We present the preliminary findings of an ongoing research on the development of health education package in preventing fracture among post-menopausal women in Kuantan, Malaysia.

Method

This study applied a cross-sectional method involving 87 respondents from the orthopedic and menopause clinics of Hospital Tengku Ampuan Afzan Kuantan, Pahang, Malaysia, between April 2016 and October 2016. A purposive sample of the respondents’ age of 50 and above and post-menopausal women was utilized. The criteria in selecting respondents were based on the BMD result of the osteopenic range (T-score of less than −1 and greater than −2.5 SD). Data collection was performed after obtaining approval from the Research Ethics Committee of the International Islamic University and National Medical Research Registry. The respondents were evaluated using a questionnaire on various independent risk factors for osteoporosis, including parental hip fractures, previous fractures, current cigarette smoking habit, glucocorticosteroid usage, alcohol consumption, rheumatoid arthritis, caffeinated drinks, and years of menopause. Physical examinations included weight and height measurement using the BC541 Innerscan Body Composition Scale Tanita and the Body Scale M-400 (Table 1).

Table 1.

Questionnaire.

Name     
Date of birth     
Age     
Body weight     
Body height     
BMI     
Years of menopause     
Previous fracture  Yes  No 
Parental hip fracture  Yes  No 
Smoker  Yes  No 
Glucocorticosteroid usage  Yes  No 
Rheumatoid arthritis  Yes  No 
Alcohol consumption (3 or more units/day)  Yes  No 
Caffeinated drinks (3 or more cups/day)  Yes  No 

The WHO fracture risk assessment tool (FRAX®) was used to calculate the risk for major and hip fracture probability in 10 years’ time. The selection of an appropriate country for the FRAX tool was conducted because no FRAX tool was available for the Malaysian population. In the absence of a FRAX® model for a specific country, a surrogate country is chosen based on the likelihood that it is a representative of the index country in terms of life expectancy and fracture incidence10. Therefore, the calculation for Singapore was chosen because the population comprised of three major races (Malay, Indian, and Chinese) similar to the ethnic distribution in Malaysia. FRAX® is a computer-based algorithm developed by the WHO Collaborating Center for Metabolic Bone Diseases and was first released in 200812.

Descriptive data were generated for all the variables. The Pearson correlation test was conducted to determine the relationship between the independent variables and the FRAX 10-year probability of fracture. Correlation was considered significant at a p value < 0.05. Data management and analysis were performed using SPSS version 20.0 (2011).

Results

Out of the 87 post-menopausal women recruited, 50.6% were osteopenic and nearly half (48.3%) had osteoporosis (Figure 1). The mean age of the respondents was 61.6 years old (SD=7.9). Among the respondents, 34 were Malay and 46 were Chinese. The mean year of menopause of the respondents was 11.9 (SD=8.5), ranging from 1 to 44 years. The FRAX findings indicated a 9.7% major osteoporotic fracture probability and a 3.5% hip fracture probability, which were denoted as high risk (Table 2).

Figure 1.

Bone health status of the participants.

(0.01MB).
Table 2.

Characteristic of the participants and the FRAX risk scores.

N=87  n (%)  Mean ± SD 
Age    61.2 ± 7.9 
Year of menopause    11.9 ± 8.5 
FRAX 10-year risk score
Major osteoporotic fracture    9.7% ± 7.7% 
Hip fracture    3.5% ± 3.9% 
Race
Malay  34 (39)   
Chinese  46 (52.9)   
Indian  5 (5.7)   
Others  2 (2.3)   

Table 3 presents the fracture risk factors of the respondents. More than 80% of the respondents had none of the risk factors, thus indicating that they were not at risk for fracture. Majority (80.5%) of the respondents had no previous fractures. A positive family history (having parents with hip fracture) was observed in 16.1% of the respondents.

Table 3.

Fracture risk factor.

N=87  Yes  No 
Previous fracture  17 (19.5%)  70 (80.5%) 
Parental hip fracture  14 (16.1%)  73 (83.9%) 
Rheumatoid arthritis  8 (9.2%)  79 (90.8%) 
Alcohol consumption  —  87 (100%) 
Glucocorticosteroid usage  6 (6.9%)  81 (93.1%) 
Smoking  1 (1.1%)  86 (98.9%) 
Caffeinated drinks  28 (32.2%)  59 (67.8%) 

The Pearson correlation coefficient showed a significant positive but weak correlation between year of menopause and FRAX major osteoporotic and hip fracture probability (r=0.581, p < 0.001) and (r=0.495, p < 0.001), as shown in Figures 2 and 3.

Figure 2.

Correlation between year of menopause and the FRAX major osteoporotic fracture risk score.

(0.03MB).
Figure 3.

Correlation between year of menopause and the FRAX hip fracture risk score.

(0.04MB).
Discussion

Previous studies reported a higher risk of fractures among women than men, with post-menopausal women living a sedentary lifestyle being the most affected11,13. The present study found a 9.7% major osteoporotic fracture probability and a 3.5% of hip fracture probability, which both indicate a high risk for hip fracture based on the age intervention threshold for Malaysia adopted by the Malaysian Osteoporosis Society (MOS)14, as revealed by the FRAX findings. MOS utilized a threshold probability of 20% for major osteoporotic fracture and 3% for hip fracture probability. The risk score of 3.5% for hip fracture among post-menopausal wom-en in this study indicates that this population is at a high risk of obtaining a hip fracture in 10 years’ time. There is increasing concern that a considerable number of research findings have revealed an exponential increment of hip frac-ture incidences7,15. This study highlighted the importance of fracture risk assessment among post-menopausal women for the early detection of fracture risk and thus the prevention of fragility fracture.

The correlation between years of menopause and the probability of major osteoporotic and hip fractures is among the remarkable findings of the present study. The pathogenesis of osteoporosis in women involves augmented bone resorption by osteoclasts in relation to changes in the estrogen levels at menopause. The increase in bone resorption appears to be the most important stimulus for bone loss in the situation of acute estrogen deficiency that occurs in menopausal women16. Osteoblasts, osteocytes, and osteoclasts express functional estrogen receptors17. Deficiency in estrogen increases bone resorption and impairs bone formation, thus leading to bone loss. This information is essential in understanding why the risk of osteoporosis and fragility fracture exponentially increases with years of menopause. Therefore, the present study strongly recommends the use of a fracture risk assessment to identify the common factors related to fracture risks with or without bone density results among post-menopausal women as early preventive measures. The early detection of the risk factors will provide the post-menopausal population the knowledge required to prevent fragility fractures.

Acknowledgement

This work was partially supported by the Fundamental Research Grant (FRGS 105781-135771) received from the Ministry of Education, Malaysia.

References
[1]
WHO scientific group on the assessment of osteoporosis at primary health care level: summary meeting report, Brussels, Belgium, 5-7 May 2004.
[2]
Haugeberg G. Primary prevention in osteoporosis? Tidsskr den Nor laegeforening Tidsskr Prakt Med ny raekke [Internet]. 2003;102(3):1506-7. Available at: http://publications.nice.org.uk/alendronate-etidronate-risedronate-raloxifene-and-strontium-ranelate-for-the-primary-prevention-ta160/the-technologies.
[3]
K.Y. Loh, H.K. Shong.
Osteoporosis : primary prevention in the community.
Med J Malaysia., 62 (2007), pp. 355-357
quiz 358, Oct
[4]
Nik Noor Kaussar Nik Mohd Hatta, Muhammad, Lokman Md Isa, Mohd Said Nurumal Azlina Daud, Muhammad Ibrahim Mohd Ariff Sharifuddin, Deraman S. Age related- Fracture Risk Prediction in Post-Menopausal Women with Osteopenia and Osteoporosis: A preliminary findings. Doctoral Thesis. International Islamic University Malaysia 2016;3-4.
[5]
International Osteoporosis Foundation (IOF). Facts and Statistics [accessed 27 Jan 2015]. 2015. Available at: http://www. iofbonehealth.org/facts-statistics#category-14.
[6]
O. Johnell, J.A. Kanis.
An estimate of the worldwide prevalence and disability associated with osteoporotic fractures.
Osteoporos Int., 17 (2006), pp. 1726-1733
Dec
[7]
I. Isnoni, B. Mohamad Adam, M. Murallitharam, A. Tajuddin, S. Jaya Purany, S. Manmohan, et al.
Pre-Injury Demographic Patterns of Patients Sustaining Hip Fractures in Malaysia.
Malays Orthop J., 6 (2012), pp. 11-15
[8]
Wheater G, Elshahaly M, Tuck SP, Datta HK, Van Laar JM. The clinical utility of bone marker measurements in osteoporosis. J Transl Med [Internet]. [accessed 28 Oct 2014]. 2013 Jan;11(1): 201. Available at: http://www.pubmedcentral.nih.gov/arti-clerender.fcgi?artid=3765909&tool=pmcentrez&rendertype=abstract.
[9]
Appelman-Dijkstra NM, Papapoulos SE. Novel approaches to the treatment of osteoporosis. Best Pract Res Clin Endocrinol Metab [Internet]. [accessed 27 Nov 2014]. 2014 Dec;28(6):843-57. Available at: http://linkinghub.elsevier.com/retrieve/pii/S1521690X14000773.
[10]
Eugene M. FRAX® Identifying people at high risk of fracture WHO Fracture Risk Assessment Tool, a new clinical tool for. 2009. Available at: www.bonehealth.org.
[11]
S. Polovina, V. Popovic, L. Duntas, N. Milic, D. Micic.
Frax score calculations in postmenopausal women with subclinical hypothyroidism.
Hormones., 12 (2013), pp. 439-448
[12]
J.A. Kanis, D. Hans, C. Cooper, S. Baim, J.P. Bilezikian, N. Binkley, et al.
Interpretation and use of FRAX in clinical practice.
Osteoporos Int, 22 (2011), pp. 2395-2411
[13]
J. Sanfélix-Genovés, G. Sanfélix-Gimeno, S. Peiró, I. Hurtado, C. Fluixà, A. Fuertes, et al.
Prevalence of osteoporotic fracture risk factors and antiosteoporotic treatments in the Valencia region Spain. The baseline characteristics of the ESOSVAL cohort.
Osteoporos Int, 24 (2013), pp. 1045-1055
[14]
J.A. Kanis, N.C. Harvey, C. Cooper, H. Johansson, A. Odén, E.V. McCloskey, et al.
A systematic review of intervention thresholds based on FRAX: A report prepared for the National Osteoporosis Guideline Group and the International Osteoporosis Foundation.
Arch Osteoporos [Internet], 11 (2016),
[15]
C.M. Lee, J.S. Sidhu, K.L. Pan.
Hip fracture incidence in Malaysia 1981-1 989., 64 (1993), pp. 178-180
[16]
S.H. Tella, J.C. Gallagher.
Prevention and treatment of postmenopausal osteoporosis.
J Steroid Biochem Mol Biol [Internet]. [accessed 18 Oct 2014]., 142 (2014 Jul), pp. 155-170
[17]
X. Feng, J.M. McDonald.
Disorders of bone remodeling.
Annu Rev Pathol., 6 (2011), pp. 121-145
Copyright © 2018. Elsevier España, S.L.U.. All rights reserved
Descargar PDF
Opciones de artículo
es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos

Quizás le interese:
10.1016/j.enfcli.2020.12.009
No mostrar más