A Nomogram for Predicting Tenofovir-Associated Osteoporosis in Chronic Hepatitis B

Background/Objective: Long-term tenofovir disoproxil fumarate (TDF) therapy is associated with progressive bone mineral density loss in patients with chronic hepatitis B (CHB), yet existing fracture risk algorithms, such as FRAX, were not designed for this population. We aimed to develop and internally validate a clinical nomogram for identifying TDF-associated osteoporosis using penalized regression on demographic, virological, and biochemical predictors. Methods: In this single-center retrospective cohort study, 237 adult CHB patients receiving TDF for at least 12 months underwent dual-energy X-ray absorptiometry (DXA). Osteoporosis was defined as a T-score of −2.5 or lower at the lumbar spine or femoral neck. Thirteen candidate predictors were evaluated using LASSO regression with 10-fold cross-validation; selected variables were entered into an unpenalized multivariable logistic regression model; internal validation employed bootstrap resampling with 200 replications to derive optimism-corrected estimates of discrimination and calibration. The clinical utility was assessed using decision curve analysis (DCA). Results: Osteoporosis prevalence was 15.2% (n = 36). LASSO selected three predictors: prior fragility fracture (OR 11.45, 95% CI 4.82–27.15), the Charlson Comorbidity Index (OR 1.45 per unit, 95% CI 1.15–1.85), and alkaline phosphatase. The model demonstrated strong discrimination (apparent C-index 0.860; optimism-corrected 0.845) with excellent calibration (slope 0.94, intercept 0.02; Brier score 0.095). At a 0.15 probability threshold, sensitivity was 86.0%, specificity 78.0%, and negative predictive value 97.0%. DCA confirmed superior net clinical benefit over default strategies across the 0.10–0.30 threshold range; a pre-specified sensitivity analysis excluding fracture history retained meaningful discrimination (corrected C-index 0.791). Conclusions: This nomogram offers a clinically actionable, disease-specific tool for stratifying osteoporosis risk in TDF-treated CHB patients, particularly well suited for safely deferring DXA imaging in low-risk individuals. External validation in multicenter and ethnically diverse cohorts is required before widespread implementation.

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Journal
Journal of Clinical Medicine
Published
2026-06-09
DOI
https://doi.org/10.3390/jcm15124442
Primary Topic
HIV-related health complications and treatments
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article
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article

A Nomogram for Predicting Tenofovir-Associated Osteoporosis in Chronic Hepatitis B

Cihan Semet, Elif Can Semet
Journal of Clinical Medicine
HIV-related health complications and treatments
article

A Nomogram for Predicting Tenofovir-Associated Osteoporosis in Chronic Hepatitis B

Cihan Semet, Elif Can Semet
article en

Abstract

Background/Objective: Long-term tenofovir disoproxil fumarate (TDF) therapy is associated with progressive bone mineral density loss in patients with chronic hepatitis B (CHB), yet existing fracture risk algorithms, such as FRAX, were not designed for this population. We aimed to develop and internally validate a clinical nomogram for identifying TDF-associated osteoporosis using penalized regression on demographic, virological, and biochemical predictors. Methods: In this single-center retrospective cohort study, 237 adult CHB patients receiving TDF for at least 12 months underwent dual-energy X-ray absorptiometry (DXA). Osteoporosis was defined as a T-score of −2.5 or lower at the lumbar spine or femoral neck. Thirteen candidate predictors were evaluated using LASSO regression with 10-fold cross-validation; selected variables were entered into an unpenalized multivariable logistic regression model; internal validation employed bootstrap resampling with 200 replications to derive optimism-corrected estimates of discrimination and calibration. The clinical utility was assessed using decision curve analysis (DCA). Results: Osteoporosis prevalence was 15.2% (n = 36). LASSO selected three predictors: prior fragility fracture (OR 11.45, 95% CI 4.82–27.15), the Charlson Comorbidity Index (OR 1.45 per unit, 95% CI 1.15–1.85), and alkaline phosphatase. The model demonstrated strong discrimination (apparent C-index 0.860; optimism-corrected 0.845) with excellent calibration (slope 0.94, intercept 0.02; Brier score 0.095). At a 0.15 probability threshold, sensitivity was 86.0%, specificity 78.0%, and negative predictive value 97.0%. DCA confirmed superior net clinical benefit over default strategies across the 0.10–0.30 threshold range; a pre-specified sensitivity analysis excluding fracture history retained meaningful discrimination (corrected C-index 0.791). Conclusions: This nomogram offers a clinically actionable, disease-specific tool for stratifying osteoporosis risk in TDF-treated CHB patients, particularly well suited for safely deferring DXA imaging in low-risk individuals. External validation in multicenter and ethnically diverse cohorts is required before widespread implementation.

Journal of Clinical MedicineVol. 15(12)
Dokuz Eylül University (TR), Bandırma Onyedi Eylül University (TR), Education Training And Research (US)
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 6%
HIV-related health complications and treatments
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