110 resultados para cardiac remodeling


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BACKGROUND: Poor health-related quality of life (HRQL) has been shown to be predictive of adverse outcomes in cardiac patients. As women with coronary heart disease have been shown to have lower HRQL than men with coronary heart disease, women are at greater risk of a poor clinical outcome. This study tested the effect of a 12-week home walking intervention after completion of outpatient cardiac rehabilitation (OCR) on HRQL and maintenance of physical activity among women. DESIGN: Multicenter two-group randomized trial. METHODS: After completion of OCR, participants were randomly allocated to the intervention or usual care groups. The outcomes were HRQL (assessed using the MacNew Heart Disease HRQL instrument) and self-reported physical activity (assessed using the Stages of Change model of exercise behavior) at 3, 6, and 12 months after OCR. RESULTS: Seventy-two women were randomized to the intervention and 81 to usual care. Attrition was greater in the treatment group (13 vs. 1%). HRQL scores increased relative to the base level in both arms and were significantly higher in the intervention group at 6 months, but not at 3 or 12 months. Maintenance of physical activity declined over time in both groups, however, this decline was significantly reduced among women in the intervention group. CONCLUSION: HRQL improved in both groups, but seemed to increase earlier among women in the intervention group. As maintenance of physical activity was higher among women in the intervention group, this minimal intervention could be used to facilitate women's progression from supervised to independent exercise.

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We test the hypothesis that the odds of self-reported receipt of lifestyle advice from a health care provider will be lower among outpatient cardiac rehabilitation (OCR) nonattendees and nonreferred patients compared to OCR attendees. Logistic regression was used to analyse cross-sectional data provided by 65% (4971/7678) of patients aged 20 to 84 years discharged from public hospitals with a diagnosis indicating eligibility for OCR between 2002 and 2007. Among respondents, 71% (3518) and 55% (2724) recalled advice regarding physical activity and diet, respectively, while 88% (592/674) of smokers recalled quit advice. OCR attendance was low: 36% (1764) of respondents reported attending OCR, 11% (552) did not attend following referral, and 45% (2217) did not recall being invited. The odds of recalling advice regarding physical activity and diet were significantly lower among OCR nonattendees compared to attendees (OR 0.34, 95% CI 0.21, 0.56 and OR 0.33, 95% CI 0.25, 0.44, resp.) and among nonreferred respondents compared to OCR attendees (OR 0.10, 95% CI 0.07, 0.15 and OR 0.17, 95% CI 0.14, 0.22, resp.). Patients hospitalised for coronary heart disease should be referred to OCR or a suitable alternative to improve recall of lifestyle advice that will reduce the risk of further coronary events.

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BACKGROUND: Much attention has been given to identifying and supporting the minority of patients who develop severe clinical depression after a cardiac event. However, relatively little has been given to supporting the many patients who experience transient but significant emotional disturbance that we term the 'cardiac blues'. OBJECTIVE: The aim of this study was to investigate patients' preferences regarding information provision about cardiac blues. METHODS: One hundred and sixty consecutive cardiac patients admitted to two Victorian hospitals in Australia were interviewed three times over six months. They were asked about emotional issues, including information provision preferences. RESULTS: Four out of five (81%) patients would like to have received information about the cardiac blues, but only a minority received this information. CONCLUSION: Most patients want to know about cardiac blues. The development and evaluation of resources for health professionals and patients to support recovery through cardiac blues appears warranted.

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BACKGROUND: Cardiac rehabilitation (CR) is an underutilized evidence-based treatment. We described trends in referral to outpatient CR (OCR) and the factors associated with referral. DESIGN: Cross-sectional survey data provided by Hunter residents aged 20 years or older discharged from public hospitals in the region between 2002 and 2007 with an OCR eligible diagnosis were extracted from the Hunter New England Heart and Stroke Register database. METHODS: Trends in referral were determined using the chi test for trend. Factors associated with referral were examined using multiple logistic regression. RESULTS: Sixty-five percent (4971 of 7678) of patients provided sufficient data for inclusion in the analysis. Approximately half of the patients reported being referred to OCR. No increase over time was observed. Factors associated with referral were age less than 70 years, male sex, being married, urban residence, at least one admission to the tertiary referral hospital for cardiology, at least one admission for acute myocardial infarction, revascularization, no admissions for congestive heart failure, a self-reported history of high cholesterol, and no history of stroke or atrial fibrillation. CONCLUSION: Access to this treatment of proven benefit remained suboptimal despite the provision of new programs and expansion of existing programs. Automatic referral, which is recommended in Australia, should be standard practice.

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Blood biochemistry attributes form an important class of tests, routinely collected several times per year for many patients with diabetes. The objective of this study is to investigate the role of blood biochemistry for improving the predictive accuracy of the diagnosis of cardiac autonomic neuropathy (CAN) progression. Blood biochemistry contributes to CAN, and so it is a causative factor that can provide additional power for the diagnosis of CAN especially in the absence of a complete set of Ewing tests. We introduce automated iterative multitier ensembles (AIME) and investigate their performance in comparison to base classifiers and standard ensemble classifiers for blood biochemistry attributes. AIME incorporate diverse ensembles into several tiers simultaneously and combine them into one automatically generated integrated system so that one ensemble acts as an integral part of another ensemble. We carried out extensive experimental analysis using large datasets from the diabetes screening research initiative (DiScRi) project. The results of our experiments show that several blood biochemistry attributes can be used to supplement the Ewing battery for the detection of CAN in situations where one or more of the Ewing tests cannot be completed because of the individual difficulties faced by each patient in performing the tests. The results show that AIME provide higher accuracy as a multitier CAN classification paradigm. The best predictive accuracy of 99.57% has been obtained by the AIME combining decorate on top tier with bagging on middle tier based on random forest. Practitioners can use these findings to increase the accuracy of CAN diagnosis.