Value of Biochemical Indexes of Bone Metabolism in Predicting Osteoporotic Lumbar Fractures

Objective. To investigate the value of bone metabolism indexes such as type I procollagen N-terminal propeptide (P1NP), 25-hydroxyvitamin D (25(OH)D), osteocalcin (OSTEOC), and parathyroid hormone (PTH) in predicting osteoporotic lumbar fractures. Methods. 120 female patients with osteoporosis treat...

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Main Authors: Fen Feng, CiLa Zhou, Ping Huang, QiaoLin Zhu, Gang Wang, Bin Zhou
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Applied Bionics and Biomechanics
Online Access:http://dx.doi.org/10.1155/2022/7348884
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author Fen Feng
CiLa Zhou
Ping Huang
QiaoLin Zhu
Gang Wang
Bin Zhou
author_facet Fen Feng
CiLa Zhou
Ping Huang
QiaoLin Zhu
Gang Wang
Bin Zhou
author_sort Fen Feng
collection DOAJ
description Objective. To investigate the value of bone metabolism indexes such as type I procollagen N-terminal propeptide (P1NP), 25-hydroxyvitamin D (25(OH)D), osteocalcin (OSTEOC), and parathyroid hormone (PTH) in predicting osteoporotic lumbar fractures. Methods. 120 female patients with osteoporosis treated in our hospital were selected as research objects. There were 76 cases in the fracture group and 44 cases in the nonfracture group. The relationship between the levels of P1NP, 25(OH)D, OSTEOC, and PTH and the incidence of osteoporotic lumbar fractures were detected and compared between the two groups. The predictive value of biochemical indexes of bone metabolism in patients with osteoporosis was analyzed by ROC curve. Results. The levels of P1NP and PTH in the fracture group were significantly higher than those in the nonfracture group, while 25(OH)D and OSTEOC levels were lower than those in the nonfracture group. Moreover, the levels of P1NP, 25(OH)D, OSTEOC, and PTH are important factors affecting the pathogenesis of osteoporosis. The area under the curve (AUC) of fracture in patients with osteoporosis predicted by the combination of P1NP, 25(OH)D, OSTEOC, and PTH levels was 0.886, which was greater than the AUC predicted by each index (0.796, 0.753, 0.670, and 0.824). The best sensitivity and specificity of comprehensive prediction of each index were 78.95% and 79.10%, respectively. Conclusion. The abnormal changes of P1NP, 25(OH)D, OSTEOC, and PTH in female patients with osteoporotic lumbar fracture are closely related to the occurrence of the disease. The combination of these indicators has relatively significant application value in predicting the occurrence of fracture, which is helpful to formulate and guide relevant preventive measures for female patients with osteoporotic lumbar fracture and improve the prognosis.
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spelling doaj-art-2d877bfa65ee479f9935eedc7ed6fd0f2025-02-03T06:04:44ZengWileyApplied Bionics and Biomechanics1754-21032022-01-01202210.1155/2022/7348884Value of Biochemical Indexes of Bone Metabolism in Predicting Osteoporotic Lumbar FracturesFen Feng0CiLa Zhou1Ping Huang2QiaoLin Zhu3Gang Wang4Bin Zhou5School of PharmacyDepartment of EndocrinologyDepartment of EndocrinologyDepartment of EndocrinologyDepartment of EndocrinologyDepartment of EndocrinologyObjective. To investigate the value of bone metabolism indexes such as type I procollagen N-terminal propeptide (P1NP), 25-hydroxyvitamin D (25(OH)D), osteocalcin (OSTEOC), and parathyroid hormone (PTH) in predicting osteoporotic lumbar fractures. Methods. 120 female patients with osteoporosis treated in our hospital were selected as research objects. There were 76 cases in the fracture group and 44 cases in the nonfracture group. The relationship between the levels of P1NP, 25(OH)D, OSTEOC, and PTH and the incidence of osteoporotic lumbar fractures were detected and compared between the two groups. The predictive value of biochemical indexes of bone metabolism in patients with osteoporosis was analyzed by ROC curve. Results. The levels of P1NP and PTH in the fracture group were significantly higher than those in the nonfracture group, while 25(OH)D and OSTEOC levels were lower than those in the nonfracture group. Moreover, the levels of P1NP, 25(OH)D, OSTEOC, and PTH are important factors affecting the pathogenesis of osteoporosis. The area under the curve (AUC) of fracture in patients with osteoporosis predicted by the combination of P1NP, 25(OH)D, OSTEOC, and PTH levels was 0.886, which was greater than the AUC predicted by each index (0.796, 0.753, 0.670, and 0.824). The best sensitivity and specificity of comprehensive prediction of each index were 78.95% and 79.10%, respectively. Conclusion. The abnormal changes of P1NP, 25(OH)D, OSTEOC, and PTH in female patients with osteoporotic lumbar fracture are closely related to the occurrence of the disease. The combination of these indicators has relatively significant application value in predicting the occurrence of fracture, which is helpful to formulate and guide relevant preventive measures for female patients with osteoporotic lumbar fracture and improve the prognosis.http://dx.doi.org/10.1155/2022/7348884
spellingShingle Fen Feng
CiLa Zhou
Ping Huang
QiaoLin Zhu
Gang Wang
Bin Zhou
Value of Biochemical Indexes of Bone Metabolism in Predicting Osteoporotic Lumbar Fractures
Applied Bionics and Biomechanics
title Value of Biochemical Indexes of Bone Metabolism in Predicting Osteoporotic Lumbar Fractures
title_full Value of Biochemical Indexes of Bone Metabolism in Predicting Osteoporotic Lumbar Fractures
title_fullStr Value of Biochemical Indexes of Bone Metabolism in Predicting Osteoporotic Lumbar Fractures
title_full_unstemmed Value of Biochemical Indexes of Bone Metabolism in Predicting Osteoporotic Lumbar Fractures
title_short Value of Biochemical Indexes of Bone Metabolism in Predicting Osteoporotic Lumbar Fractures
title_sort value of biochemical indexes of bone metabolism in predicting osteoporotic lumbar fractures
url http://dx.doi.org/10.1155/2022/7348884
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