Predicting risk: developing and testing of a nomogram to predict hospitalisation in chronic heart failure (CHF- Risk Study)
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 popul...
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
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Curtin University
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/552 |
| _version_ | 1848743411558907904 |
|---|---|
| author | Betihavas, Vasiliki |
| author_facet | Betihavas, Vasiliki |
| author_sort | Betihavas, Vasiliki |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T05:45:09Z |
| format | Thesis |
| id | curtin-20.500.11937-552 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:45:09Z |
| publishDate | 2013 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-5522017-02-20T06:41:52Z Predicting risk: developing and testing of a nomogram to predict hospitalisation in chronic heart failure (CHF- Risk Study) Betihavas, Vasiliki 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. 2013 Thesis http://hdl.handle.net/20.500.11937/552 en Curtin University fulltext |
| spellingShingle | Betihavas, Vasiliki Predicting risk: developing and testing of a nomogram to predict hospitalisation in chronic heart failure (CHF- Risk Study) |
| title | Predicting risk: developing and testing of a nomogram to predict hospitalisation in chronic heart failure (CHF- Risk Study) |
| title_full | Predicting risk: developing and testing of a nomogram to predict hospitalisation in chronic heart failure (CHF- Risk Study) |
| title_fullStr | Predicting risk: developing and testing of a nomogram to predict hospitalisation in chronic heart failure (CHF- Risk Study) |
| title_full_unstemmed | Predicting risk: developing and testing of a nomogram to predict hospitalisation in chronic heart failure (CHF- Risk Study) |
| title_short | Predicting risk: developing and testing of a nomogram to predict hospitalisation in chronic heart failure (CHF- Risk Study) |
| title_sort | predicting risk: developing and testing of a nomogram to predict hospitalisation in chronic heart failure (chf- risk study) |
| url | http://hdl.handle.net/20.500.11937/552 |