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BACKGROUND: Identifying postmenopausal women with a high risk of having osteoporosis and fractures is a current challenge. This study aimed to assess the diagnostic performance of biochemical tests in identifying secondary osteoporosis and the fracture risk assessment tool (FRAX) in identifying fracture risk. METHODS: Data from biochemical tests and bone densitometry of postmenopausal women were analyzed. Additionally, the FRAX result was obtained and the patients were classified according to the National Osteoporosis Guideline Group (NOGG). RESULTS: A total of 646 women were evaluated, of whom 201 (31.1%) had osteoporosis or a previous frailty fracture. These women had statistically different parathyroid hormone (PTH) and alkaline phosphatase serum levels (p<0.01 and p=0.02, respectively) than those without osteoporosis or fracture. However, those at high risk had a higher prevalence of hypovitaminosis D (46% vs. 36%) and hypocalciuria (17% vs. 9%). The FRAX showed an area under the curve of 0.757 (p<0.01) and 0.788 (p<0.01) for identifying women at risk for "major fractures" and "hip," respectively. The NOGG categorization had a sensitivity of 19% to identify high-risk women, a specificity of 91.3% for low-risk women, with a positive predictive value of 57.4% and a negative predictive value of 64.6%. CONCLUSIONS: The evaluation of PTH, 25-hydroxy-vitamin D, serum calcium, and 24-hr urinary calcium proved adequate for initial osteoporosis screening. The FRAX tool has a regular ability to screen women at risk for fracture, and the NOGG method has high specificity to identify those at low risk.

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OBJECTIVE: To evaluate the improvement in screening accuracy of the Fracture Risk Assessment Tool (FRAX) for the risk of developing osteoporosis among young postmenopausal women by associating with it clinical muscle mass measures. METHODS: A sample of postmenopausal women was submitted to calcaneal quantitative ultrasound (QUS), application of the FRAX questionnaire, and screening for the risk of developing sarcopenia at a health fair held in the city of São Bernardo do Campo in 2019. The sample also underwent anthropometric measurements, muscle mass, walking speed and handgrip tests. A major osteoporotic fracture (MOF) risk ≥ 8.5% on the FRAX, a classification of medium risk on the clinical guideline of the National Osteoporosis Guideline Group (NOGG), and a QUS T-score ≤ -1.8 sd were considered risks of having low bone mass, and QUS T-score ≤ -2.5sd, risk of having fractures. RESULTS: In total, 198 women were evaluated, with a median age of 64 ± 7.7 years, median body mass index (BMI) of 27.3 ± 5.3 kg/m2 and median QUS T-score of -1.3 ± 1.3 sd. The accuracy of the FRAX with a MOF risk ≥ 8.5% to identify women with T-scores ≤ -1.8 sd was poor, with an area under the curve (AUC) of 0.604 (95% confidence interval [95%CI]: 0.509-0.694) for women under 65 years of age, and of 0.642 (95%CI: 0.571-0.709) when age was not considered. Including data on muscle mass in the statistical analysis led to a significant improvement for the group of women under 65 years of age, with an AUC of 0,705 (95%CI: 0.612-0.786). The ability of the high-risk NOGG tool to identify T-scores ≤ -1.8 sd was limited. CONCLUSION: Clinical muscle mass measurements increased the accuracy of the FRAX to screen for osteoporosis in women aged under 65 years.

OBJETIVO: Avaliar a melhora da precisão da Fracture Risk Assessment Tool (Ferramenta de Avaliação do Risco de Fraturas, FRAX, em inglês) no rastreio do risco de desenvolver osteoporose em mulheres jovens pós-menopáusicas com a associação de medidas clínicas de massa muscular e preensão manual. MéTODOS: Uma amostra de mulheres pós-menopáusicas foi submetida a ultrassom quantitativo (USQ) de calcâneo, à aplicação do questionário FRAX, e rastreadas quanto ao risco de desenvolver sarcopenia em uma feira de saúde realizada em 2019 em São Bernardo do Campo. Além disso, a amostra também foi submetida a antropometria, e a testes de massa muscular, velocidade de marcha, e preensão manual. Um risco de grandes fraturas osteoporóticas (GFOs) ≥ 8,5% no FRAX, classificação de médio risco nas diretrizes clínicas do National Osteoporosis Guideline Group (NOGG), e T-score no USQ ≤ -1,8 dp foram considerados riscos de ter baixa massa óssea, e T-score no QUS ≤ -2,5 sd, risco de ter fraturas. RESULTADOS: Ao todo, 198 mulheres foram avaliadas, com idade média de 64 ± 7,7 anos, índice de massa corporal (IMC) médio de 27,3 ± 5,3 kg/m2, e T-score médio no USQ de -1,3 ± 1,3 sd. A precisão do FRAX com um risco de GFO ≥ 8,5% para identificar mulheres com T-score ≤ -1,8 dp foi precária, com uma área sob a curva (ASC) de 0,604 (intervalo de confiança de 95% [IC95%]: 0,509­0,694), para mulheres menores de 65 anos de idade, e de 0,642 (IC95%: 0,571­0,709) quando a idade não foi considerada. A inclusão de dados da massa muscular na análise estatística levou a uma melhora significativa no grupo menor de 65 anos de idade, com uma ASC de 0,705 (IC95%: 0,612­0,786). A habilidade da ferramenta NOGG de alto risco para identificar T-scores ≤ -1,8 dp foi limitada. CONCLUSãO: As medidas clínicas da massa muscular aumentaram a precisão do FRAX no rastreio de osteoporose em mulheres menores de 65 anos de idade.

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Abstract Objective To evaluate the improvement in screening accuracy of the Fracture Risk Assessment Tool (FRAX) for the risk of developing osteoporosis among young postmenopausal women by associating with it clinical muscle mass measures. Methods A sample of postmenopausal women was submitted to calcaneal quantitative ultrasound (QUS), application of the FRAX questionnaire, and screening for the risk of developing sarcopenia at a health fair held in the city of São Bernardo do Campo in 2019. The sample also underwent anthropometric measurements, muscle mass, walking speed and handgrip tests. A major osteoporotic fracture (MOF) risk ≥ 8.5% on the FRAX, a classification of medium risk on the clinical guideline of the National Osteoporosis Guideline Group (NOGG), and a QUS T-score ≤ -1.8 sd were considered risks of having low bone mass, and QUS T-score ≤ -2.5sd, risk of having fractures. Results In total, 198 women were evaluated, with a median age of 64±7.7 years, median body mass index (BMI) of 27.3±5.3 kg/m2 and median QUS T-score of -1.3±1.3 sd. The accuracy of the FRAX with a MOF risk ≥ 8.5% to identify women with T-scores ≤ -1.8 sd was poor, with an area under the curve (AUC) of 0.604 (95% confidence interval [95%CI]: 0.509-0.694) for women under 65 years of age, and of 0.642 (95%CI: 0.571-0.709) when age was not considered. Including data on muscle mass in the statistical analysis led to a significant improvement for the group of women under 65 years of age, with an AUC of 0,705 (95%CI: 0.612-0.786). The ability of the high-risk NOGG tool to identify T-scores ≤ -1.8 sd was limited. Conclusion Clinical muscle mass measurements increased the accuracy of the FRAX to screen for osteoporosis in women aged under 65 years.

Resumo Objetivo Avaliar a melhora da precisão da Fracture Risk Assessment Tool (Ferramenta de Avaliação do Risco de Fraturas, FRAX, em inglês) no rastreio do risco de desenvolver osteoporose em mulheres jovens pós-menopáusicas com a associação de medidas clínicas de massa muscular e preensão manual. Métodos Uma amostra de mulheres pós-menopáusicas foi submetida a ultrassom quantitativo (USQ) de calcâneo, à aplicação do questionário FRAX, e rastreadas quanto ao risco de desenvolver sarcopenia em uma feira de saúde realizada em 2019 em São Bernardo do Campo. Alémdisso, a amostra tambémfoi submetida a antropometria, e a testes de massa muscular, velocidade de marcha, e preensão manual. Um risco de grandes fraturas osteoporóticas (GFOs) ≥ 8,5% no FRAX, classificação de médio risco nas diretrizes clínicas do National Osteoporosis Guideline Group (NOGG), e T-score no USQ ≤ -1,8 dp foram considerados riscos de ter baixa massa óssea, e T-score no QUS ≤ -2,5 sd, risco de ter fraturas. Resultados Ao todo, 198 mulheres foram avaliadas, com idade média de 64±7,7 anos, índice de massa corporal (IMC) médio de 27,3±5,3 kg/m2, e T-score médio no USQ de -1,3±1,3 sd. A precisão do FRAX comumrisco de GFO≥ 8,5% para identificar mulheres com T-score ≤ -1,8 dp foi precária, com uma área sob a curva (ASC) de 0,604 (intervalo de confiança de 95% [IC95%]: 0,509-0,694), para mulheres menores de 65 anos de idade, e de 0,642 (IC95%: 0,571-0,709) quando a idade não foi considerada. A inclusão de dados da massa muscular na análise estatística levou a uma melhora significativa no grupo menor de 65 anos de idade, com uma ASC de 0,705 (IC95%: 0,612-0,786). A habilidade da ferramenta NOGG de alto risco para identificar T-scores ≤ -1,8 dp foi limitada. Conclusão As medidas clínicas da massa muscular aumentaram a precisão do FRAX no rastreio de osteoporose em mulheres menores de 65 anos de idade.

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METHODS: Thirty-one female C57BL/6J mice were divided into four groups: two were treated with subcutaneous dehydroepiandrosterone (DHEA) implants and divided into normal and hypercaloric diet (HFD). Two were control and divided into normal and HFD. Presence of insulin resistance, growth, and adipocyte markers expression of white and brown adipose tissues and growth and inflammatory cytokines expression of bone marrow adipose tissue were evaluated. RESULTS: Hypercaloric diet groups presented higher total weight gain and huge growth in all fat sites, except bone marrow. They also demonstrated greater expression of adipocyte markers in sites of white adipose tissue. DHEA + HFD group showed more insulin intolerance than all other groups. DHEA shows to abrogate AdipoQ expression in all fatty tissues. CONCLUSIONS: DHEA alone does not influence adipose tissue growth, but contributes to increased insulin resistance and influences the expression of adipokines. Proximal MAT showed different behavior from the other fat depot.

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