Risk score for predicting cardiovascular disease mortality in Australian women
Louise evaluated the utility of risk score models for predicting cardiovascular mortality in Australian women. She found that most risk models do not diagnose “at risk” women well. Currently published predicted risk levels used for screening and recommending treatment are ineffective. Lower treatmen...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
Curtin University
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/223 |
| _version_ | 1848743318198943744 |
|---|---|
| author | Goh, Gek Huang Louise |
| author_facet | Goh, Gek Huang Louise |
| author_sort | Goh, Gek Huang Louise |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Louise evaluated the utility of risk score models for predicting cardiovascular mortality in Australian women. She found that most risk models do not diagnose “at risk” women well. Currently published predicted risk levels used for screening and recommending treatment are ineffective. Lower treatment thresholds are recommended. Central obesity and ethnicity have been identified for inclusion in future models. Her study has important implications for improving the accuracy of identifying “at risk” women for preventive treatment. |
| first_indexed | 2025-11-14T05:43:40Z |
| format | Thesis |
| id | curtin-20.500.11937-223 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:43:40Z |
| publishDate | 2014 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-2232017-02-20T06:41:18Z Risk score for predicting cardiovascular disease mortality in Australian women Goh, Gek Huang Louise Louise evaluated the utility of risk score models for predicting cardiovascular mortality in Australian women. She found that most risk models do not diagnose “at risk” women well. Currently published predicted risk levels used for screening and recommending treatment are ineffective. Lower treatment thresholds are recommended. Central obesity and ethnicity have been identified for inclusion in future models. Her study has important implications for improving the accuracy of identifying “at risk” women for preventive treatment. 2014 Thesis http://hdl.handle.net/20.500.11937/223 en Curtin University fulltext |
| spellingShingle | Goh, Gek Huang Louise Risk score for predicting cardiovascular disease mortality in Australian women |
| title | Risk score for predicting cardiovascular disease mortality in Australian women |
| title_full | Risk score for predicting cardiovascular disease mortality in Australian women |
| title_fullStr | Risk score for predicting cardiovascular disease mortality in Australian women |
| title_full_unstemmed | Risk score for predicting cardiovascular disease mortality in Australian women |
| title_short | Risk score for predicting cardiovascular disease mortality in Australian women |
| title_sort | risk score for predicting cardiovascular disease mortality in australian women |
| url | http://hdl.handle.net/20.500.11937/223 |