- Title
- Charlson Comorbidity Index as a predictor of repeated hospital admission and mortality among older women diagnosed with cardiovascular disease
- Creator
- Shebeshi, Dinberu S.; Dolja-Gore, Xenia; Byles, Julie
- Relation
- Aging Clinical and Experimental Research Vol. 33, Issue 10, p. 2873-2878
- Publisher Link
- http://dx.doi.org/10.1007/s40520-021-01805-2
- Publisher
- Springer Nature Switzerland AG
- Resource Type
- journal article
- Date
- 2021
- Description
- Background: Comorbidity can complicate cardiovascular diseases (CVDs), increasing the risk of adverse events including hospitalisation and death. This study aimed to assess the Charlson Comorbidity Index (CCI) as a predictor of repeated hospital admission and mortality in older CVD patients. Methods: This study linked data from the Australian longitudinal study on women’s health (ALSWH) with hospital and National Death Index datasets to identify dates for hospital admission, discharge, and death for women born 1921–26. CCI was calculated using the International Statistical Classification of Diseases, Australia Modification (ICD-10-AM) diagnostic codes. Results: Women with a higher CCI on index admission had increased risk of repeated hospital admission (AHR = 1.29, 95% CI 1.06, 1.58) and mortality (AHR = 3.05, 95% CI 2.15, 4.31). Older age and hypertension were also significantly associated with a higher risk of repeated hospital admission and mortality. Living in a remote area was associated with a higher risk of mortality. Conclusions: The Charlson Comorbidity Index predicts repeated hospital admission and mortality incidences among older women with CVD. Improving management of comorbidities for older CVD patients should be considered as part of a strategy to mitigate subsequent repeated hospitalisation and delay mortality.
- Subject
- Australia; survival analysis; hospital admission; older women; Charlson Comorbidity Index; SDG 3; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1446432
- Identifier
- uon:42868
- Identifier
- ISSN:1594-0667
- Language
- eng
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