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Study of the link between hemotopoietic and skeletal systems in patients attending a referral center for osteoporosis

Jessica Pepe, Luciano Colangelo, Viviana De Martino, Marco Occhiuto, Domenico Iervolino, Patrizio Pasqualetti, Salvatore Minisola, Cristiana Cipriani

2023Journal of Endocrinological Investigation13 citationsDOIOpen Access PDF

Abstract

PURPOSE: To investigate the link between hematopoietic and skeletal tissues in patients with fragility fractures. METHODS: We retrospectively analyzed the medical records of women older than 40 years who attended the Bone Disease Unit of "Sapienza" University of Rome for their first visit for osteoporosis from January 2020 to June 2022. RESULTS: Fragility fractures were found in 61.8% of the sample. In particular, vertebral fractures in 35.5%, femoral fractures in 6.3%, Colles fractures in 16.5% and non-vertebral non-hip in 42.5%. Fractured patients were significantly older compared to non-fractured, had lower mean values of lumbar spine (p = 0.01), and femoral neck BMD (p = 0.007). A red blood cell distribution width (RDW) value higher than 15% was observed four times more in those with fractures compared to non-fractured patients (8.9% vs 2%, p = 0.01) and was associated with vertebral fracture after adjusting for age, BMI, menopause, nutritional status, smoking, osteoporosis and anemia (OR = 4.1, 95% CI 1.6-11.4, p = 0.003). Hematocrit was negatively associated with hip fracture also adjusting for age, BMI, menopause, nutritional status, smoking, osteoporosis (p = 0.025). CONCLUSION: Our study demonstrates that RDW values were significantly associated with vertebral fracture and hematocrit with hip fracture. Since both parameters are included in the initial evaluation of patients with suspected bone fragility, our results should push doctors to look at these values with no incremental cost for national health services.

Topics & Concepts

MedicineOsteoporosisHip fractureFemoral neckMenopauseInternal medicineAnemiaHematocritSurgeryPediatricsInflammatory Biomarkers in Disease PrognosisBone health and osteoporosis researchStatistical Methods in Epidemiology
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