Open AccessDevelopment of a Nomogram for Predicting Very Low Bone Mineral Density (T-Scores
Author(s) -
Yongfang Li,
Qinyi Wang,
Lulu Xu,
Chun Yue,
Li Hu,
Ning Ding,
Yanfen Yang,
Xiaoli Qu,
Zhifeng Sheng
Publication year - 2022
Publication title -
international journal of general medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.722
H-Index - 36
ISSN - 1178-7074
DOI - 10.2147/ijgm.s348947
Subject(s) - medicine , bone mineral , osteoporosis , nomogram , confidence interval , odds ratio , logistic regression , trabecular bone score , bone density , population , physical therapy , demography , environmental health , quantitative computed tomography , sociology
Fragility fractures, the most serious complication of osteoporosis, affect life quality and increase medical expenses and economic burden. Strategies to identify populations with very low bone mineral density (T-scores <-3), indicating very high fracture risk according to the American Association of Clinical Endocrinologists/American College of Endocrinology (AACE/ACE), are necessary to achieve acceptable fracture risk levels. In this study, the characteristics of persons with T-scores <-3 were analyzed in the Chinese population to identify risk factors and develop a nomogram for very low bone mineral density (T-scores <-3) identification.