Tariq Sundus, Tariq Saba, Lone Khalid Parvez, Khaliq Saba
Dr. Sundus Tariq, MBBS, M.Phil. Associate Professor, Department of Physiology, University Medical & Dental College, Faisalabad- 38000, Pakistan., University of Health Sciences, Lahore, Pakistan.
Dr. Saba Tariq, MBBS, M. Phil. Associate Professor, Department of Pharmacology, University Medical & Dental College, Faisalabad- 38000, Pakistan.
Pak J Med Sci. 2019;35(3):749-753. doi: 10.12669/pjms.35.3.188.
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.
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.
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.
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.
本研究旨在确定血清钙、磷和碱性磷酸酶(ALP)是否为绝经后非骨质疏松、骨量减少和骨质疏松女性骨密度(BMD)的预测指标。
在2014 - 2015年于拉合尔的谢赫·扎耶德医院开展的这项横断面研究中,选取了50 - 70岁的绝经后女性,并将其分为三组:非骨质疏松组(n = 52)、骨量减少组(n = 69)和骨质疏松组(n = 47)。采用血清ALP、磷和钙进行逐步多元回归分析,以预测这些组的T值。
在正常绝经后女性中,预测模型具有统计学意义,F(2, 41) = 6.041,p < 0.05,T值方差为22%。T值主要由较高水平的磷和钙预测。在绝经后骨量减少的女性中,T值仅由较低水平的ALP预测。该模型具有统计学意义,F(1, 59) = 4.995,p < 0.05,约占T值方差的7%。在绝经后骨质疏松女性中,预测模型无预测指标。
我们的研究表明,钙和磷是绝经后正常女性T值的最强预测指标,而在绝经后骨量减少的女性中,ALP是T值的最强预测指标。血清ALP水平升高可能有助于确定绝经后女性的骨密度损失情况。