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Predicting end-of-life in older women with heart failure: development and internal validation of clinically actionable prognostic models using routinely collected national data

Crossref DOI link: https://doi.org/10.1186/s12877-026-06993-y

Published Online: 2026-01-22

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Gebresillassie, Begashaw Melaku

Attia, John

Cavenagh, Dominic

Harris, Melissa L.
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Text and Data Mining valid from 2026-01-22

Version of Record valid from 2026-02-16
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Article History

Received: 7 August 2025

Accepted: 9 January 2026

First Online: 22 January 2026

Declarations

:

: All data for this study were obtained from the ALSWH, which was approved under their expression of interest process (EoI: A1390) and provided in a de-identified form. This study has ongoing ethical clearance from the University of Newcastle and University of Queensland's Human Research Ethics Committees. Ethical approval for the linkage of ALSWH data to the admitted patient data collection was received from each state and territory-based committee. Prior to 2005, women provided written consent to participate in the ALSWH and for their data to be linked to de-identified administrative health records. From 2005 onwards, an 'opt-out' consent process was approved by the data custodians and relevant ethics committees for data linkage, with participants regularly reminded of this process. ALSWH participants who declined health record linkage were excluded from the data linkage requests. No other disclosures were reported.

: Not applicable.

: The authors declare no competing interests.

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