13 research outputs found

    Ethnic Differences in Quality of Life in Persons with Heart Failure

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    Background Chronic illness burdens some groups more than others. In studies of ethnic/racial groups with chronic illness, some investigators have found differences in health-related quality of life (HRQL), whereas others have not. Few such comparisons have been performed in persons with heart failure. The purpose of this study was to compare HRQL in non-Hispanic white, black, and Hispanic adults with heart failure. Methods Data for this longitudinal comparative study were obtained from eight sites in the Southwest, Southeast, Northwest, Northeast, and Midwest United States. Enrollment and 3- and 6-month data on 1212 patients were used in this analysis. Propensity scores were used to adjust for sociodemographic and clinical differences among the ethnic/racial groups. Health-related quality of life was measured using the Minnesota Living with Heart Failure Questionnaire. Results Significant ethnic/racial effects were demonstrated, with more favorable Minnesota Living with Heart Failure Questionnaire total scores post-baseline for Hispanic patients compared with both black and white patients, even after adjusting for baseline scores, age, gender, education, severity of illness, and care setting (acute vs. chronic), and estimating the treatment effect (intervention vs. usual care). The models based on the physical and emotional subscale scores were similar, with post hoc comparisons indicating more positive outcomes for Hispanic patients than non-Hispanic white patients. Conclusion Cultural differences in the interpretation of and response to chronic illness may explain why HRQL improves more over time in Hispanic patients with heart failure compared with white and black patients

    Gender differences in quality of life are minimal in patients with heart failure

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    Advanced liver surgery requires a precise pre-operative planning, where liver segmentation and remnant liver volume are key elements to avoid post-operative liver failure. In that context, level-set algorithms have achieved better results than others, especially with altered liver parenchyma or in cases with previous surgery. In order to improve functional liver parenchyma volume measurements, in this work we propose two strategies to enhance previous level-set algorithms: an optimal multi-resolution strategy with fine details correction and adaptive curvature, as well as an additional semiautomatic step imposing local curvature constraints. Results show more accurate segmentations, especially in elongated structures, detecting internal lesions and avoiding leakages to close structure
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