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Association of C-peptide level with bone mineral density in type 2 diabetes mellitus.
- Source :
- Osteoporosis International; Aug2023, Vol. 34 Issue 8, p1465-1476, 12p, 1 Diagram, 9 Charts, 1 Graph
- Publication Year :
- 2023
-
Abstract
- Summary: This study revealed that there was no significant linear relationship between fasting C-peptide (FCP) level and bone mineral density (BMD) or fracture risk in type 2 diabetes mellitus (T2DM) patients. However, in the FCP ≤ 1.14 ng/ml group, FCP is positively correlated with whole body (WB), lumbar spine (LS), and femoral neck (FN) BMD and negatively correlated with fracture risk. Purpose: To explore the relationship between C-peptide and BMD and fracture risk in T2DM patients. Methods: 530 T2DM patients were enrolled and divided into three groups by FCP tertiles, and the clinical data were collected. BMD was measured by dual-energy X-ray absorptiometry (DXA). The 10-year probability of major osteoporotic fractures (MOFs) and hip fractures (HFs) was evaluated by adjusted fracture risk assessment tool (FRAX). Results: In the FCP ≤ 1.14 ng/ml group, FCP level was positively correlated with WB, LS, and FN BMD, while FCP was negatively correlated with fracture risk and osteoporotic fracture history. However, FCP was not correlated with BMD and fracture risk and osteoporotic fracture history in the 1.14 < FCP ≤ 1.73 ng/ml and FCP > 1.73 ng/ml groups. The study has shown that FCP was an independent factor influencing BMD and fracture risk in the FCP ≤ 1.14 ng/ml group. Conclusions: There is no significant linear relationship between FCP level and BMD or fracture risk in T2DM patients. In the FCP ≤ 1.14 ng/ml group, FCP is positively correlated with WB, LS, and FN BMD and negatively correlated with fracture risk, and FCP is an independent influencing factor of BMD and fracture risk. The findings suggest that FCP may predict the risk of osteoporosis or fracture in some T2DM patients, which has a certain clinical value. [ABSTRACT FROM AUTHOR]
- Subjects :
- BIOMARKERS
GLYCOSYLATED hemoglobin
KRUSKAL-Wallis Test
STATISTICS
PHOTON absorptiometry
PREDICTIVE tests
HIGH performance liquid chromatography
ANALYSIS of variance
CHEMILUMINESCENCE assay
RETROSPECTIVE studies
HIP fractures
BLOOD collection
REGRESSION analysis
BLOOD sugar
HYPOGLYCEMIC agents
DISEASE incidence
OSTEOPOROSIS
RISK assessment
TYPE 2 diabetes
IMMUNOASSAY
VITAMIN D
INSULIN
RESEARCH funding
HOSPITAL care of older people
DESCRIPTIVE statistics
DISEASE duration
BONE density
LUMBAR vertebrae
ANALYTICAL chemistry techniques
DATA analysis
DATA analysis software
BODY mass index
DIABETIC retinopathy
LOGISTIC regression analysis
PREDICTION models
C-peptide
BONE fractures
VERTEBRAL fractures
FEMORAL neck fractures
DISEASE risk factors
Subjects
Details
- Language :
- English
- ISSN :
- 0937941X
- Volume :
- 34
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- Osteoporosis International
- Publication Type :
- Academic Journal
- Accession number :
- 168595332
- Full Text :
- https://doi.org/10.1007/s00198-023-06785-9