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Predicting outcomes of acute myocardial infarction using administrative data : is depression associated with survival? Grunau, Gilat Linn
Abstract
Study objectives: This dissertation investigated three main issues: Determination of the most appropriate risk-adjustment method to control for comorbidity when predicting mortality following acute myocardial infarction (AMI); whether depression following AMI is associated with important prognostic factors such as comorbidities; and whether early- and late-onset incident depression following AMI affect short- and long-term survival and health services use. Methods: Data The British Columbia (BC) Linked Health Database, which includes all hospitalizations, drug prescriptions, physician visits and deaths in BC. Participants A cohort of 4874 individuals aged 66 years and over who had an AMI in 1994 or 1995. Analysis Risk-adjustment methods were compared using the C-statistic; Chisquare and Kruskal-Wallis analyses were used for testing associations between depression and prognostic factors; logistic regression analyses were used to measure the relationship between depression and health services use; Kaplan Meier and Cox regression analyses were used for determining the effect of depression on survival following AMI. Main findings: A risk-adjustment method developed specifically for predicting mortality following AMI (the Ontario AMI predictive rule) was found to be a more appropriate method than more general methods of predicting mortality (e.g., the Charlson Index). Depression following AMI was associated with an increase in comorbidity. Both early- and late-onset incident depression following AMI significantly increased short- and long-term mortality, and is one of the strongest predictors of mortality following AMI in older adults. Depression was not found to be associated with increased health services use. Conclusions and Significance: This was the first study to investigate the impact of depression following AMI using administrative data. Early- and late-onset depression following AMI significantly affects survival, however it does not affect health services use. In contrast to previous research, in this study incident rather than prevalent depression was measured as well as depression occurring up to 5 years following AMI, and not only at the time of or shortly after the index hospitalization. The relationship between depression and comorbidity was investigated which has not been previously done. Future research should focus on determining effective treatments for individuals with depression following AMI.
Item Metadata
Title |
Predicting outcomes of acute myocardial infarction using administrative data : is depression associated with survival?
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2006
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Description |
Study objectives: This dissertation investigated three main issues: Determination of
the most appropriate risk-adjustment method to control for comorbidity when
predicting mortality following acute myocardial infarction (AMI); whether depression
following AMI is associated with important prognostic factors such as comorbidities;
and whether early- and late-onset incident depression following AMI affect short- and
long-term survival and health services use.
Methods: Data The British Columbia (BC) Linked Health Database, which includes
all hospitalizations, drug prescriptions, physician visits and deaths in BC. Participants
A cohort of 4874 individuals aged 66 years and over who had an AMI in 1994 or
1995. Analysis Risk-adjustment methods were compared using the C-statistic; Chisquare
and Kruskal-Wallis analyses were used for testing associations between
depression and prognostic factors; logistic regression analyses were used to measure
the relationship between depression and health services use; Kaplan Meier and Cox
regression analyses were used for determining the effect of depression on survival
following AMI.
Main findings: A risk-adjustment method developed specifically for predicting
mortality following AMI (the Ontario AMI predictive rule) was found to be a more
appropriate method than more general methods of predicting mortality (e.g., the
Charlson Index). Depression following AMI was associated with an increase in
comorbidity. Both early- and late-onset incident depression following AMI
significantly increased short- and long-term mortality, and is one of the strongest
predictors of mortality following AMI in older adults. Depression was not found to be
associated with increased health services use.
Conclusions and Significance: This was the first study to investigate the impact of
depression following AMI using administrative data. Early- and late-onset depression
following AMI significantly affects survival, however it does not affect health
services use. In contrast to previous research, in this study incident rather than
prevalent depression was measured as well as depression occurring up to 5 years
following AMI, and not only at the time of or shortly after the index hospitalization.
The relationship between depression and comorbidity was investigated which has not
been previously done. Future research should focus on determining effective
treatments for individuals with depression following AMI.
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Genre | |
Type | |
Language |
eng
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Date Available |
2010-01-16
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0092847
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2006-05
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.