Predicting risk: developing and testing of a nomogram to predict hospitalisation in chronic heart failure (CHF- Risk Study)
| dc.contributor.author | Betihavas, Vasiliki | |
| dc.contributor.supervisor | Prof. Patricia Davidson | |
| dc.contributor.supervisor | Prof. Gavin Leslie | |
| dc.contributor.supervisor | Prof. Peter Macdonald | |
| dc.contributor.supervisor | Dr Phillip Newton | |
| dc.date.accessioned | 2017-01-30T09:50:58Z | |
| dc.date.available | 2017-01-30T09:50:58Z | |
| dc.date.created | 2014-07-28T03:21:50Z | |
| dc.date.issued | 2013 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/552 | |
| dc.description.abstract |
Chronic heart failure (CHF) is the leading cause of hospital admission in the elderly. Currently, no absolute risk model for rehospitalisation exists. The CHF-Risk Study was a 3 phase study that led to the development of a nomogram using a derivation cohort of a contemporaneous Australian CHF population. Factors associated with an increased risk of cardiovascular rehospitalisation were: age; living alone; a sedentary lifestyle and the presence of multiple co-morbid conditions. | |
| dc.language | en | |
| dc.publisher | Curtin University | |
| dc.title | Predicting risk: developing and testing of a nomogram to predict hospitalisation in chronic heart failure (CHF- Risk Study) | |
| dc.type | Thesis | |
| dcterms.educationLevel | PhD | |
| curtin.department | School of Nursing and Midwifery, Curtin Health Innovative Research Institute | |
| curtin.accessStatus | Open access |