Alkaline phosphatase is a predictor of Bone Mineral Density in postmenopausal females

  • Sundus Tariq
  • Saba Tariq University Medical and Dental College, The University of Faisalabad
  • Khalid Parvez Lone
  • Saba Khaliq
Keywords: ALP, BMD, Postmenopausal females

Abstract

Objectives: The study was planned to determine whether serum calcium, phosphate and alkaline phosphatase (ALP) are predictors of bone mineral density (BMD) in postmenopausal non-osteoporotic, osteopenic, and osteoporotic females.

Methods: In this cross sectional study, conducted at Shaikh Zayed Hospital, Lahore in the year 2014-2015, postmenopausal females between 50-70 years of age were taken and divided into three groups non-osteoporotic (n=52), osteopenic (n=69) and osteoporotic (n=47). Serum ALP, phosphate and calcium were used in a stepwise multiple regression analysis to predict T-score in these groups.

Results: In normal postmenopausal females, the prediction model was statistically significant, F(2, 41) = 6.041, p < 0.05 and showed a T-score variance of 22%. T-score was primarily predicted by higher levels of phosphate and calcium. In postmenopausal osteopenic females, T-score was only predicted by lower levels of ALP. The model was statistically significant, F(1, 59) = 4.995, p < 0.05, and accounted for approximately 7% of the variance of T-score. In postmenopausal osteoporotic females, the prediction model contained no predictors.

Conclusion: Our study suggested that calcium and phosphate are the strongest predictors of T-score in postmenopausal normal females, while in postmenopausal osteopenic females ALP was the strongest predictor of T-score. Elevated serum ALP levels may help in determining loss of BMD in postmenopausal females.

doi: https://doi.org/10.12669/pjms.35.3.188

How to cite this:
Tariq S, Tariq S, Lone KP, Khaliq S. Alkaline phosphatase is a predictor of Bone Mineral Density in postmenopausal females. Pak J Med Sci. 2019;35(3):749-753. doi: https://doi.org/10.12669/pjms.35.3.188

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Published
2019-05-21
Section
Original Articles