10 research outputs found

    Multivariate linear models testing the independent relationship between CCS, as dependent variable, and adiposity measures according to diabetes status.

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    <p><b>Model 1</b> included the following confounders: age, gender, yrs of education, physical activity, depression.</p><p><b>Model 2 = </b>Model 1 + BMI, hypertension, smoking IMT, Hb1Ac, CV-PPG, IL-6, Drug vs. diet <sup>§</sup>.</p>§<p>see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010333#s4" target="_blank">methods</a>.</p><p>*WHR and WC were entered separately in models.</p

    Odds ratio and 95% confidence intervals for cognitive impairment (MMSE <24) at follow-up by adiposity measures in older persons with type 2 diabetes (n = 221).

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    <p><b>Model 1</b> included the following confounders: age, gender, yrs of education, physical activity, depression.</p><p><b>Model 2 = </b>Model 1 + BMI, hypertension, smoking IMT, Hb1Ac, CV-PPG, IL-6, Drug vs. diet <sup>§</sup></p>§<p>see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010333#s4" target="_blank">methods</a>.</p><p>*WHR and WC were entered separately in models.</p

    Population characteristics at baseline (n = 693).

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    <p>Note: BMI = body mass index; WC = Waist circumference; WHR = waist-hip-ratio; MMSE = Mini-Mental State Examination; SBP = systolic blood pressure, DBP = diastolic blood pressure.</p><p>TMT = Trail Making Test; DIFF = Difference; DSP = Digit Span; VF = Verbal fluency.</p><p>*p<0.05.</p

    miRNA clusters efficiently differentiate SA and UA patients from Controls.

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    <p>Hierarchical clustering demonstrated that different miRNA “signatures” efficiently classify between matched controls (CTRLS) and CAD patients. The cluster composed by miR-1 and miR-126 and miR-485-3p can be used to correctly classify SA patients from controls with 90.2% (yellow bar) efficiency. Similarly the miR-1, miR-126 and miR-133a cluster can be used to correctly classify UA patients from controls with 87.2% (red bar) efficiency. No signatures of miRNAs could be found to efficiently discriminate SA from UA patients with an accuracy > 66% (miR-126 and miR-337-5p cluster, blue bar). </p

    1A. The abundance of α(1,6)-arm monogalactosylated, core-α-1,6-fucosylated diantennary glycan NG1(6)A2F, assessed by peak 3 (P3) levels, in CTR and T2DM patients with and without MS.

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    <p>The boxplots represent a comparison of peak 3 levels in males in six classes of subjects: CTR without MS, CTR with MS, T2DM- without MS, T2DM- with MS, T2DM+ without MS, T2DM+ with MS. <b>1B.</b> The abundance of α(1,6)-arm monogalactosylated, core-α-1,6-fucosylated diantennary glycan NG1(6)A2F, assessed by peak 3 (P3) levels, in CTR and T2DM patients with and without MS. The boxplots represent a comparison of peak 3 levels in females in six classes of subjects: CTR without MS, CTR with MS, T2DM- without MS, T2DM- with MS, T2DM+ without MS, T2DM+ with MS.</p
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