Koshiaris, C., Wang, A., Archer, L. et al. (12 more authors) (2025) Predicting hypotension, syncope, and fracture risk in patients indicated for antihypertensive treatment: the STRATIFY models. Nature Communications, 16. 9371. ISSN: 2041-1723
Abstract
Antihypertensives are associated with increased risk of syncope, hypotension, and fractures, but the highest-risk individuals are unclear. This study aimed to develop and validate three models to predict these outcomes in patients with an indication for antihypertensive treatment. A cohort study was conducted using data from Clinical Practice Research Datalink (CPRD). Patients aged 40+ with systolic blood pressure 130-179 mmHg were included. Outcomes were first hypotension, syncope, or fracture leading to hospitalization or death within 10 years. Models were derived from CPRD GOLD data (n = 1,773,224) and validated with CPRD Aurum data (n = 3,805,366). Each model had 31-37 predictors. Validation demonstrated strong discriminative ability (10-year C-statistic: hypotension 0.824; syncope 0.819; fracture 0.790), with close agreement between predicted and observed risks for the hypotension and syncope models. Some underprediction was observed for the fracture model. These models could be used to help reassure patients about the relatively low risk of harm from antihypertensive treatment, or identify the small number of individuals with a higher risk where additional monitoring may be indicated.
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
|
| Copyright, Publisher and Additional Information: | © The Author(s) 2025. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Dates: |
|
| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) |
| Date Deposited: | 09 Feb 2026 11:23 |
| Last Modified: | 09 Feb 2026 11:23 |
| Status: | Published |
| Publisher: | Springer Nature |
| Identification Number: | 10.1038/s41467-025-64408-9 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:237342 |

CORE (COnnecting REpositories)
CORE (COnnecting REpositories)