Clinical risk prediction model for 30-day all-cause re-hospitalisation or mortality in patients hospitalised with heart failure

Clinical risk prediction model for 30-day all-cause re-hospitalisation or mortality in patients hospitalised with heart failure

Background: This study aimed to develop a risk prediction model (AUS-HF model) for 30-day all-cause re-hospitalisation or death among patients admitted with acute heart failure (HF) to inform follow-up after hospitalisation. The model uses routinely collected measures at point of care. Methods: We a...

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Bibliographic Details
Main Authors: Driscoll, A., Romaniuk, H., Dinh, D., Amerena, J., Brennan, A., Hare, D.L., Kaye, D., Lefkovits, J., Lockwood, S., Neil, C., Prior, D., Reid, Christopher, Orellana, L.
Format: Journal Article
Language:English
Published: ELSEVIER IRELAND LTD 2022
Subjects:
Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Cardiovascular System & Cardiology
Heart failure
Risk prediction model
Re-hospitalisation
Mortality
READMISSION
VALIDATION
GUIDELINES
DERIVATION
DIAGNOSIS
SCORE
RULE
Aftercare
Aged
Angiotensin-Converting Enzyme Inhibitors
Female
Heart Failure
Hospitalization
Humans
Male
Patient Discharge
Online Access:http://purl.org/au-research/grants/nhmrc/1136372
http://hdl.handle.net/20.500.11937/93775

Internet

http://purl.org/au-research/grants/nhmrc/1136372
http://hdl.handle.net/20.500.11937/93775

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