MORPHOMETRIC STUDY OF PROXIMAL FEMUR AND ITS CORRELATION WITH BONE MINERAL DENSITY. A CROSS-SECTIONAL STUDY

Authors

  • Lopamudra Nayak Department of Anatomy, IMS and SUM Hospital, Siksha ‘O’ Anusandhan Deemed to be University, K8, Kalinga Nagar, Bhubaneswar – 751 003, Odisha, India.
  • Pratima Baisakh Department of Anatomy, IMS and SUM Hospital, Siksha ‘O’ Anusandhan Deemed to be University, K8, Kalinga Nagar, Bhubaneswar – 751 003, Odisha, India.
  • Prafulla Kumar Chinara Department of Anatomy, IMS and SUM Hospital, Siksha ‘O’ Anusandhan Deemed to be University, K8, Kalinga Nagar, Bhubaneswar – 751 003, Odisha, India.

DOI:

https://doi.org/10.22159/ajpcr.2018.v11i8.26994

Keywords:

Femoral morphometry, Bone mineral density, Correlation

Abstract

Objective: Proximal femoral morphometries such as hip axis length (HAL), femoral neck (FN) axis length (FNAL), and FN shaft angle (FNSA) are important parameters for prediction of fracture risk. These parameters are affected by factors such as body habitus, age, sex, race, bone mineral density (BMD), and body mass index. Hence, the present study was designed to evaluate the relationship between proximal femoral morphometry and BMD.

Methods: We conducted an observational cross-sectional study in 168 patients. The measurements of radiological parameters such as HAL, FNAL, and FNSA were taken using dual-energy X-ray absorptiometry scan. FN-BMD was measured using LUNAR XR scanner and expressed as gm/cm². The correlation between proximal femoral morphometry and FN-BMD has been studied using Karl Pearson correlation coefficient (r).

Results: The mean age, height, weight, HAL, FNAL, FNSA, and FN-BMD of the study population were found to be 58.72 years, 160.15 cm, 64.38 kg, 104.14 mm, 103.51 mm, 128.51°, and 0.761 g/cm², respectively. FN-BMD had a negative correlation with HAL (r=−0.791), FNAL (r=−0.734), and FNSA (r=−0.713) where p=0.000.

Conclusion: There is a significant correlation between FN-BMD and proximal femoral morphometry. This observation will be helpful in exploration of its clinical significance in proximal femoral fracture.

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References

Cooper AA. Treatise on Dislocations and Fractures of the Joints. 2nd ed. Boston, MA: Lilly and Wait, Carter and Hendee; 1832.

Koval KJ, Zuckerman JD. Fraturas intertrocantéricas. In: Rockwood CA Jr., Green DP, Bucholz RW, editors. Rockwood E Green Fraturas Em Adultos. 5th ed. Philadelphia, PA: JB Lippincott; 2006. p. 1635-80.

Gregory JS, Testi D, Stewart A, Undrill PE, Reid DM, Aspden RM. A method for assessment of the shape of the proximal femur and its relationship to osteoporotic hip fracture. Osteoporos Int 2004;15:5-11.

Ravn P, Cizza G, Bjarnason NH, Thompson D, Daley M, Wasnich RD, et al. Low body mass index is an important risk factor for low bone mass and increased bone loss in early postmenopausal women. Early postmenopausal intervention cohort (ERIC) study group. J Bone Miner Res 1999;14:1622-7.

Alonso CG, Curiel MD, Carranza FH, Cano RP, Pérez AD. Femoral bone mineral density, neck-shaft angle and mean femoral neck width as predictors of hip fracture in men and women. Osteoporos Int 2000;11:714-20.

Bergot C, Bousson V, Meunier A, Laval-Jeantet M, Laredo JD. Hip fracture risk and proximal femur geometry from DXA scans. Osteoporos Int 2002;13:542-50.

Glüer CC, Cummings SR, Pressman A, Li J, Glüer K, Faulkner Kg, et al. Prediction of hip fractures from pelvic radiographs: The study of osteoporotic fractures. The study of osteoporotic fractures research group. J Bone Miner Res 1994;9:671-7.

Gnudi S, Ripamonti C, Lisi L, Fini M, Giardino R, Giavaresi G. Proximal femur geometry to detect and distinguish femoral neck fractures from trochanteric fractures in postmenopausal women. Osteoporos Int 2002;13:69-73.

Marshall D, Johnell O, Wedel H. Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ 1996;312:1254-9.

Cummings SR, Black DM, Nevitt MC. Bone density at various sites for prediction of hip fractures. The study of osteoporotic fractures research group. Lancet 1993;341:72-5.

Aloia JF, McGowan D, Erens E, Miele G. Hip fracture patients have generalized osteopenia with a preferential deficit in the femur. Osteoporos Int 1992;2:88-93.

Faulkner KG, Cummings SR, Black D, Palermo L, Gluer CC, Genant HK. Simple measurements of femoral geometry predicts hip fracture: The study of osteoporotic fracture. J Bone Miner Res 1993;8:1211-7.

Prabhu K, Vathsala V, Mani R, Johnson WM. Correlation of anthropometric and upper femoral, morphometrics with osteoporotic related hip fracture risk. Int J Anat Sci 2010;1:1-6.

Irdesel J, Ari I. The relationship between the proximal femur morphometry and bone mineral density in Turkish women. Minerva Med 2006;97:153-9.

Iwamoto N, Inaba Y, Kobayashi N, Ishida T, Yukizawa Y, Choe H, et al. The Morphologic Factors Affecting the BMD of Proximal Femur in Hemi-Lateral Osteoarthritis of the Hip. Yokohama City University, Yokohama, Japan St Joseph’s Hospital, Yokosuka, Japan. Poster no. 1363; ORS 2012.

Faulkner KG, Wacker WK, Barden HS, Simonelli C, Burke PK, Ragi S, et al. Femur strength index predicts hip fracture independent of bone density and hip axis length. Osteoporos Int 2006;17:593-9.

Brownbill RA, Lindsey C, Crncevic-Orlic Z, Ilich Z. Dual hip bone mineral density in postmenopausal women: Geometry and effect of physical activity. Calcif Tissue Int 2003;73:217-24.

Gnudi S, Ripamouti C, Gualtieri G, Malavolta N. Geometry of proximal femur in prediction of hip fracture in osteoporotic women. Br J Radiol 1999;72:729-33.

Sulthana N, Vijaya K. Prevention of peptic ulcers by curcumin in chemically induced osteoarthritis. Int J Pharm Pharm Sci 2018;10:29 34.

Syngle T, Kaur S, Garg N. Osteoporotic fracture risk in rheumatoid arthritis. Int J Pharm Pharm Sci 2018;10:106-9.

Published

07-08-2018

How to Cite

Nayak, L., P. Baisakh, and P. K. Chinara. “MORPHOMETRIC STUDY OF PROXIMAL FEMUR AND ITS CORRELATION WITH BONE MINERAL DENSITY. A CROSS-SECTIONAL STUDY”. Asian Journal of Pharmaceutical and Clinical Research, vol. 11, no. 8, Aug. 2018, pp. 470-2, doi:10.22159/ajpcr.2018.v11i8.26994.

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