2.50
Hdl Handle:
http://hdl.handle.net/10755/155619
Type:
Presentation
Title:
Gender Differences in Mortality After AMI
Abstract:
Gender Differences in Mortality After AMI
Conference Sponsor:Sigma Theta Tau International
Conference Year:2004
Conference Date:July 22-24, 2004
Author:Wrightson, Jacqueline, MSN
P.I. Institution Name:University of British Columbia
Title:Mrs.
Women die after AMI at a rate approximately double that of men, as evidenced by an abundant number of epidemiological and clinical studies. Contentious debate about this alarming problem has been fueled by inadequate conceptualization, and misread evidence resulting from selection bias. The study's hypothesis was that there are gender differences in mortality after AMI. The purpose of this study was to examine gender differences in the associations between sociodemographics and comorbidities and mortality after AMI. There is a paucity of research in this area using adequate sample sizes. The study was of exploratory, descriptive design and secondary analysis was used. The AMI cohort (n = 1,365) was the total population of patients (342 women, 827 men) in 1994 diagnosed with AMI ICD 9 Code 410 and admitted to a British Columbia, Canada hospital. A logistic regression model was used to assess independently the effects of age, gender and to control possible confounders (CHF, hypertension, diabetes, SES) on the outcome (mortality). Significantly more of the women (19.9%) died compared to men (10.5%)within the initial hospitalization. CHF was a significant predictor of mortality (odds ratio 1.76, 95% CI 1.05-2.93). The findings of this study indicate that women with CHF warrant special attention and deserve aggressive, preventitive, in-hospital, and follow-up care. Research is critically needed on gender differences in coronary disease to gain a further understanding of women and factors that influence their risk for mortality.
Repository Posting Date:
26-Oct-2011
Date of Publication:
22-Jul-2004
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleGender Differences in Mortality After AMIen_GB
dc.identifier.urihttp://hdl.handle.net/10755/155619-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Gender Differences in Mortality After AMI</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2004</td></tr><tr class="item-conference-date"><td class="label">Conference Date:</td><td class="value">July 22-24, 2004</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Wrightson, Jacqueline, MSN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of British Columbia</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Mrs.</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">jwrights@interchange.ubc.ca</td></tr><tr><td colspan="2" class="item-abstract">Women die after AMI at a rate approximately double that of men, as evidenced by an abundant number of epidemiological and clinical studies. Contentious debate about this alarming problem has been fueled by inadequate conceptualization, and misread evidence resulting from selection bias. The study's hypothesis was that there are gender differences in mortality after AMI. The purpose of this study was to examine gender differences in the associations between sociodemographics and comorbidities and mortality after AMI. There is a paucity of research in this area using adequate sample sizes. The study was of exploratory, descriptive design and secondary analysis was used. The AMI cohort (n = 1,365) was the total population of patients (342 women, 827 men) in 1994 diagnosed with AMI ICD 9 Code 410 and admitted to a British Columbia, Canada hospital. A logistic regression model was used to assess independently the effects of age, gender and to control possible confounders (CHF, hypertension, diabetes, SES) on the outcome (mortality). Significantly more of the women (19.9%) died compared to men (10.5%)within the initial hospitalization. CHF was a significant predictor of mortality (odds ratio 1.76, 95% CI 1.05-2.93). The findings of this study indicate that women with CHF warrant special attention and deserve aggressive, preventitive, in-hospital, and follow-up care. Research is critically needed on gender differences in coronary disease to gain a further understanding of women and factors that influence their risk for mortality.</td></tr></table>en_GB
dc.date.available2011-10-26T14:00:42Z-
dc.date.issued2004-07-22en_GB
dc.date.accessioned2011-10-26T14:00:42Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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