诊断学理论与实践 ›› 2020, Vol. 19 ›› Issue (03): 214-218.doi: 10.16150/j.1671-2870.2020.03.002
游利
收稿日期:
2020-02-05
出版日期:
2020-06-25
发布日期:
2020-06-25
基金资助:
Received:
2020-02-05
Online:
2020-06-25
Published:
2020-06-25
中图分类号:
游利. 重视骨转换指标的临床应用及评估[J]. 诊断学理论与实践, 2020, 19(03): 214-218.
[1] | 中华医学会骨质疏松和骨矿盐疾病分会. 原发性骨质疏松症诊疗指南(2017)[J]. 中华骨质疏松和骨矿盐疾病杂志, 2017, 10(5):413-443. |
[2] | 中华医学会骨质疏松和骨矿盐疾病分会. 骨代谢生化标志物临床应用指南[J]. 中华骨质疏松和骨矿盐疾病杂志, 2015, 8(4):283-293. |
[3] |
Szulc P, Delmas PD. Biochemical markers of bone turnover in men[J]. Calcif Tissue Int, 2001, 69(4):229-234.
doi: 10.1007/s00223-001-1059-1 URL |
[4] |
Delmas PD, Eastell R, Garnero P, et al. The use of biochemical markers of bone turnover in osteoporosis. Committee of Scientific Advisors of the International Osteoporosis Foundation[J]. Osteoporos Int, 2000, 11(Suppl 6):S2-S17.
doi: 10.1007/s001980070002 URL |
[5] |
Greenblatt MB, Tsai, JN; Wein, MN. Bone turnover mar-kers in the diagnosis and monitoring of metabolic bone disease[J]. Clin Chem, 2017, 63(2):464-474.
doi: 10.1373/clinchem.2016.259085 pmid: 27940448 |
[6] | 廖二元, 徐苓, 朱汉民, 等. 原发性骨质疏松症干预的疗效监测与评估专家意见[J]. 中华骨质疏松和骨矿盐疾病杂志, 2015, 8(1):1-6. |
[7] | Jain S, Camacho P. Use of bone turnover markers in the management of osteoporosis[J]. Curr Opin Endocrinol Dia-betes Obes, 2018, 25(6):366-372. |
[8] |
Glendenning P, Chubb SAP, Vasikaran S. Clinical utility of bone turnover markers in the management of common metabolic bone diseases in adults[J]. Clin Chim Acta, 2018, 481:161-170.
doi: S0009-8981(18)30125-6 pmid: 29544749 |
[9] |
Sowers MR, Zheng H, Greendale GA, et al. Changes in bone resorption across the menopause transition: effects of reproductive hormones, body size, and ethnicity[J]. J Clin Endocrinol Metab, 2013, 98(7):2854-2863.
doi: 10.1210/jc.2012-4113 URL |
[10] |
Garnero P, Sornay-Rendu E, Chapuy MC, et al. Increased bone turnover in late postmenopausal women is a major determinant of osteoporosis[J]. J Bone Miner Res, 1996, 11(3):337-349.
pmid: 8852944 |
[11] |
Vilaca T, Gossiel F, Eastell R, et al. Bone turnover markers: Use in fracture prediction[J]. J Clin Densitom, 2017, 20(3):346-352.
doi: 10.1016/j.jocd.2017.06.020 URL |
[12] |
Sornay-Rendu E, Munoz F, Garnero P, et al. Identification of osteopenic women at high risk of fracture: the OFELY study[J]. J Bone Miner Res, 2005, 20(10):1813-1819.
pmid: 16160738 |
[13] |
Johansson H, Odén A, Kanis JA, et al. A meta-analysis of reference markers of bone turnover for prediction of fracture[J]. Calcif Tissue Int, 2014, 94(5):560-567.
doi: 10.1007/s00223-014-9842-y URL |
[14] |
Gerdhem P, Ivaska KK, Alatalo SL, et al. Biochemical markers of bone metabolism and prediction of fracture in elderly women[J]. J Bone Miner Res, 2004, 19(3):386-393.
pmid: 15040826 |
[15] |
Bauer DC, Black DM, Garnero P, et al. Change in bone turnover and hip, non-spine, and vertebral fracture in alendronate-treated women: the fracture intervention trial[J]. J Bone Miner Res, 2004, 19(8):1250-1258.
doi: 10.1359/JBMR.040512 URL |
[16] |
Ivaska KK, Gerdhem P, Akesson K, et al. Effect of fracture on bone turnover markers: a longitudinal study comparing marker levels before and after injury in 113 elderly women[J]. J Bone Miner Res, 2007, 22(8):1155-1164.
pmid: 17488197 |
[17] |
Moghaddam A, Müller U, Roth HJ, et al. TRACP 5b and CTX as osteological markers of delayed fracture healing[J]. Injury, 2011, 42(8):758-764.
doi: 10.1016/j.injury.2010.11.017 pmid: 21168135 |
[18] | Marchelli D, Piodi LP, Corradini C, et al. Increased serum OPG in atrophic nonunion shaft fractures[J]. J Orthop Trau-matol, 2009, 10(2):55-58. |
[19] |
Yoon BH, Yu W. Clinical utility of biochemical marker of bone turnover: Fracture risk prediction and bone hea-ling[J]. J Bone Metab, 2018, 25(2):73-78.
doi: 10.11005/jbm.2018.25.2.73 URL |
[20] |
Blumsohn A, Marin F, Nickelsen T, et al. Early changes in biochemical markers of bone turnover and their relationship with bone mineral density changes after 24 months of treatment with teriparatide[J]. Osteoporos Int, 2011, 22(6):1935-1946.
doi: 10.1007/s00198-010-1379-y pmid: 20938767 |
[21] |
Eastell R, Barton I, Hannon RA, et al. Relationship of early changes in bone resorption to the reduction in fracture risk with risedronate[J]. J Bone Miner Res, 2003, 18(6):1051-1056.
pmid: 12817758 |
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