Affiliation:
1. Division of Geriatrics, Nanjing Drum Tower Hospital, The Affiliated
Hospital of Nanjing University Medical School, Nanjing, Jiangsu 210008,
China
Abstract
Abstract
Purpose To develop a simple and clinically useful assessment tool for
osteoporosis in older women with type 2 diabetes mellitus (T2DM).
Methods A total of 601 women over 60 years of age with T2DM were enrolled
in this study. The levels of serum sex hormones and bone metabolism markers were
compared between the osteoporosis and non-osteoporosis groups. The least
absolute shrinkage and selection operator regularization (LASSO) model was
applied to generate a risk assessment tool. The risk score formula was evaluated
using receiver operating characteristic analysis and the relationship between
the risk score and the bone mineral density (BMD) and T-value were
investigated.
Results Serum sex hormone-binding globulin (SHBG), cross-linked
C-telopeptide of type 1 collagen (CTX), and osteocalcin (OC) were significantly
higher in the osteoporosis group. After adjustment for age and body mass index
(BMI), SHBG was found to be correlated with the T-value or BMD. Then, a risk
score was specifically generated with age, BMI, SHBG, and CTX using the LASSO
model. The risk score was significantly negatively correlated with the T-value
and BMD of the lumbar spine, femoral neck, and total hip (all
P<0.05).
Conclusion A risk score using age, BMI, SHBG, and CTX performs well for
identifying osteoporosis in older women with T2DM.
Subject
Endocrinology,General Medicine,Endocrinology, Diabetes and Metabolism,Internal Medicine
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