| Title: | A plasma protein-based risk score to predict hip fractures |
| Journal: | Nature Aging |
| Published: | 27 May 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38802582/ |
| DOI: | https://doi.org/10.1038/s43587-024-00639-7 |
| URL: | https://www.nature.com/articles/s43587-024-00639-7.pdf |
Publication 11975
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Abstract
As there are effective treatments to reduce hip fractures, identification of patients at high risk of hip fracture is important to inform efficient intervention strategies. To obtain a new tool for hip fracture prediction, we developed a protein-based risk score in the Cardiovascular Health Study using an aptamer-based proteomic platform. The proteomic risk score predicted incident hip fractures and improved hip fracture discrimination in two Trøndelag Health Study validation cohorts using the same aptamer-based platform. When transferred to an antibody-based proteomic platform in a UK Biobank validation cohort, the proteomic risk score was strongly associated with hip fractures (hazard ratio per s.d. increase, 1.64; 95% confidence interval 1.53-1.77). The proteomic risk score, but not available polygenic risk scores for fractures or bone mineral density, improved the C-index beyond the fracture risk assessment tool (FRAX), which integrates information from clinical risk factors (C-index, FRAX 0.735 versus FRAX + proteomic risk score 0.776). The developed proteomic risk score constitutes a new tool for stratifying patients according to hip fracture risk; however, its improvement in hip fracture discrimination is modest and its clinical utility beyond FRAX with information on femoral neck bone mineral density remains to be determined.</p>
29 Authors
- Thomas R. Austin
- Maria Nethander
- Howard A. Fink
- Anna E. Törnqvist
- Diana I. Jalal
- Petra Buzkova
- Joshua I. Barzilay
- Laura Carbone
- Maiken E. Gabrielsen
- Louise Grahnemo
- Tianyuan Lu
- Kristian Hveem
- Christian Jonasson
- Jorge R. Kizer
- Arnulf Langhammer
- Kenneth J. Mukamal
- Robert E. Gerszten
- Bruce M. Psaty
- John A. Robbins
- Yan V. Sun
- Anne Heidi Skogholt
- John A. Kanis
- Helena Johansson
- Bjørn Olav Åsvold
- Rodrigo J. Valderrabano
- Jie Zheng
- J. Brent Richards
- Eivind Coward
- Claes Ohlsson
1 Application
| Application ID | Title |
|---|---|
| 51784 | Genetic markers and biomarkers for age-related diseases |
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