33 research outputs found

    Associations between aortic miR levels and surrogate markers of cardiovascular disease.

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    <p>Multivariable analysis of miR levels and certain surrogate markers of CHD. Spearman's rank correlation coefficient are given with asterisks indicating significant positive or negative correlations set by a p-value <0.05 (*).</p><p>Associations between aortic miR levels and surrogate markers of cardiovascular disease.</p

    Associations between coronary sinus miR levels and surrogate markers of cardiovascular disease.

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    <p>Multivariable analysis of miR levels and certain surrogate markers of CHD. Spearman's rank correlation coefficient are given with asterisks indicating significant positive or negative correlations set by a p-value <0.05 (*).</p><p>Associations between coronary sinus miR levels and surrogate markers of cardiovascular disease.</p

    Baseline characteristics of participants divided into groups based on microvascular endothelial function.

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    <p>Endothelial dysfunction was described as a percent increase in blood flow below 50% in response to maximum acetylecholine. Most of the general demographics were not statistically significant between the groups with the exception of a higher number of diabetics in the normal microvascular function group.</p><p>Baseline characteristics of participants divided into groups based on microvascular endothelial function.</p

    Associations between miR transcoronary gradients and surrogate markers of cardiovascular disease.

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    <p>Multivariable analysis of miR levels and certain surrogate markers of CHD. Spearman's rank correlation coefficient are given with asterisks indicating significant positive or negative correlations set by a p-value <0.05 (*).</p><p>Associations between miR transcoronary gradients and surrogate markers of cardiovascular disease.</p

    Transcoronary gradient of miR-133 versus the percent change in microcirculatory blood flow showing an inverse correlation (r<sup>2</sup> = 0.11, p = 0.03).

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    <p>Transcoronary gradient of miR-133 versus the percent change in microcirculatory blood flow showing an inverse correlation (r<sup>2</sup> = 0.11, p = 0.03).</p

    Poisson regression model.

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    <p>Here we present estimates and p-values outlining the association between baseline parameters and cumulative log-ins over one year. Patients who were older, female, of multiple or Hispanic ethnicities, and had increased waist circumference at baseline were more likely to participate throughout the year. (*p-value meets significance at a value <0.05).</p

    Baseline parameters of Non-participants, very low-use participants (those who logged in less than 12 times per year), monthly participants, weekly participants, and semi-weekly (twice per week) participants of the DHI-based WHP.

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    <p>Baseline parameters of Non-participants, very low-use participants (those who logged in less than 12 times per year), monthly participants, weekly participants, and semi-weekly (twice per week) participants of the DHI-based WHP.</p

    Predicted means of log-ins adjusted for age, gender, job type, employer, ethnicity, state, baseline weight, baseline systolic blood pressure, baseline glucose, and baseline lipid status.

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    <p>Predicted means of log-ins adjusted for age, gender, job type, employer, ethnicity, state, baseline weight, baseline systolic blood pressure, baseline glucose, and baseline lipid status.</p

    Medullary markers of inflammation.

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    <p>TNF-α (A) and MCP-1 (B) expression, and CD163+ macrophage count (C). The anti-inflammatory factor IL-10 showed a significantly increased expression in ARAS+PTRA+MSC vs. the two other ARAS groups (D) (*p≤0.05 vs. Normal, <sup>#</sup>p≤0.05 ARAS+PTRA+MSC).</p
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