On-treatment change in bone turnover markers predicts 2-year bone mineral density after sequential therapy following romosozumab: a real-world cohort study - Report - MDSpire

On-treatment change in bone turnover markers predicts 2-year bone mineral density after sequential therapy following romosozumab: a real-world cohort study

  • By

  • Ryo Nakano

  • Ayumi Ichisawa

  • Kenya Saruta

  • Masakazu Kogawa

  • Akira Fukuda

  • June 17, 2026

  • 0 min

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Clinical Report: Change in Bone Turnover Markers During Treatment as a Predictor of Two-Year Bone Mineral Density Following Sequential Romosozumab Therapy

Overview

This study investigates the relationship between changes in bone turnover markers (BTMs) during romosozumab treatment and subsequent bone mineral density (BMD) gains over two years. It identifies ΔP1NP as a significant predictor of cumulative LS-BMD changes, particularly in treatment-naïve patients.

Background

Romosozumab is an effective anabolic therapy for osteoporosis, significantly increasing BMD and reducing fracture risk. However, predicting which patients will achieve the most substantial long-term BMD improvements after sequential therapy remains a challenge. Understanding the role of BTMs during treatment could enhance patient management and outcomes.

Data Highlights

MeasureCorrelation Coefficient (ρ)p-valueSample Size (n)
ΔP1NP with LS-BMD change−0.375<0.0001129
ΔTRACP-5b with LS-BMD change−0.3480.0001114
ΔP1NP cutoff for good response−40.3 μg/LAUC = 0.761

Key Findings

  • ΔP1NP decline during romosozumab treatment predicts greater cumulative LS-BMD gain.
  • Patients in the highest ΔP1NP decline tertile achieved a 23.5% cumulative LS-BMD gain.
  • ΔTRACP-5b also correlated with LS-BMD changes, though less strongly than ΔP1NP.
  • The predictive value of ΔP1NP was stronger in treatment-naïve patients compared to previously treated patients.
  • ΔP1NP remained an independent predictor of 2-year cumulative BMD after adjusting for multiple covariates.

Clinical Implications

Monitoring BTMs, particularly ΔP1NP, during romosozumab therapy can help clinicians predict long-term BMD outcomes. This information may guide treatment decisions and patient management strategies, especially for treatment-naïve individuals.

Conclusion

The study underscores the importance of on-treatment BTM changes as predictors of long-term BMD gains following romosozumab therapy, highlighting the need for further validation in broader patient populations.

Related Resources & Content

  1. The Journal of Clinical Endocrinology & Metabolism, 2024 -- Efficacy Assessment of Romosozumab Versus Denosumab and Risedronate in Patients Starting Glucocorticoid Treatment
  2. The Journal of Clinical Endocrinology & Metabolism, 2024 -- Assessing the Efficacy and Safety of Romosozumab and Teriparatide in Osteoporotic Postmenopausal Women
  3. The Journal of Clinical Endocrinology & Metabolism, 2024 -- Romosozumab Enhances Trabecular Bone Score Adjusted for Tissue Thickness in Osteoporotic Women with Diabetes
  4. NOGG Guideline 2024 -- Clinical guidance on osteoporosis management
  5. The Journal of Clinical Endocrinology & Metabolism — Comparative Cardiovascular Safety of Romosozumab and PTH Analogues in Osteoporosis Management: A Propensity-Score-Matched Analysis
  6. Romosozumab Treatment in Postmenopausal Women with Osteoporosis | New England Journal of Medicine
  7. Update on the role of bone turnover markers in the diagnosis and management of osteoporosis
  8. https://www.nogg.org.uk/sites/nogg/download/NOGG-Guideline-2024.pdf?v4%253D=

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