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Endocr Regul ; 48(1): 25-33, 2014 Jan.
Article in English | MEDLINE | ID: mdl-24524373

ABSTRACT

OBJECTIVE: Recent studies revealed that inflammation plays a critical role in bone remodeling and the pathogenesis of postmenopausal osteoporosis, a major health concern. Neutrophil-lymphocyte ratio (NLR) is a cost-effective marker of inflammation that has been linked with several diseases. This study aimed to compare NLR and C-reactive protein (CRP) levels in osteopenic, osteoporotic, and control subjects and to assess the correlation between NLR levels, CRP, and bone mineral density (BMD) in postmenopausal women. METHODS: In this cross-sectional study, the relationship between NLR, CRP, and BMD in 438 women was investigated using uni- and multivariate analyses. BMD (g/cm²) was measured by dual-energy X-ray absorptiometry (DEXA) at the lumbar spine and femur. Complete blood count (CBC), CRP, glucose/lipid metabolism, and established risk factors were determined. RESULTS: In the osteoporotic group, NLR and CRP levels were found to be elevated as compared to the osteopenic and control groups (NLR: 4.68 ± 0.72, 3.17 ± 0.43, 2.01 ± 0.54; CRP: 12.3 ± 4.1, 4.1 ± 2.7, 3.2 ± 2.1, respectively). A negative correlation was present between NLR and the lumbar spine (L2-L4) and femoral neck BMD after adjusting other risk factors. There was no correlation between CRP levels and BMD after adjusting other risk factors. NLR was significantly associated with L2-L4 BMD (ß = -0.653, p<0.001) and femoral neck BMD (ß = -0.178, p<0.001), but CRP level had no association with BMD in a multivariate model. CONCLUSIONS: Our data indicate that NLR may be a better predictor than CRP for occurrence of osteoporosis in postmenopausal women.


Subject(s)
C-Reactive Protein/metabolism , Lymphocytes/cytology , Neutrophils/cytology , Osteoporosis, Postmenopausal/immunology , Osteoporosis, Postmenopausal/metabolism , Aged , Bone Density , Bone Diseases, Metabolic/epidemiology , Bone Diseases, Metabolic/immunology , Bone Diseases, Metabolic/metabolism , Cross-Sectional Studies , Female , Humans , Middle Aged , Osteoporosis, Postmenopausal/epidemiology , Predictive Value of Tests , Risk Factors
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