Background: Postmenopausal estrogen deficiency raises the risk of osteoporosis (OP), cardiovascular disease (CVD), and dyslipidaemia. Low bone mineral density (BMD) key factor in OP, with strong connections between OP and CVD. Biomarkers such as the Atherogenic Index of Plasma (AIP) and Triglyceride-Glucose (TyG) Index are linked to CVD and may be related to OP. Inflammatory markers, including NLR, PLR, MLR, and NMR, along with ratios like lymphocyte/HDL-C, monocyte/HDL-C, and granulocyte/HDL-C, have been suggested as potential diagnostic tools for OP. This study aimed to evaluate their diagnostic value in postmenopausal osteoporosis.
Methods: A retrospective analysis was performed on 387 postmenopausal women who underwent bone densitometry between 2021 and 2025. Data on BMI, T-scores, age, menopause duration, and relevant laboratory parameters were collected. Inflammatory and biochemical indices were calculated using established formulas.
Results: Significant differences were identified in age, menopause duration, height, and T-scores across BMD groups (p<0.01). Among the biomarkers, only the monocyte/HDL-C ratio was significantly lower in the OP group (p<0.05). ROC analysis indicated limited predictive value for this ratio (AUC: 0.608), while the others were non-significant (AUC < 0.6).
Conclusion: These markers alone do not suffice for diagnosing OP but can aid in identifying high-risk individuals within multifactorial models.
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