15 research outputs found

    Additional file 1 of Three-Dimensional Multimodality Image Reconstruction as Teaching Tool for Case-based learning among medical postgraduates: a focus on primary pelvic bone Tumour Education

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    Supplementary Material 1: Additional file-1 Animated presentation of the three-dimensional reconstruction of pelvic tumor anatomical structures: It incorporates preoperative pelvic X-ray images, Pelvic 3D CT, 3D-CT angiography, contrast-enhanced MRI displaying the tumor and its soft tissue boundaries, diffusion tensor imaging of the sacral plexus, and other three-dimensional pelvic anatomical structure reconstructions that affect the examination. It allows the observation of complex anatomical structures and the relationship between the tumor and surrounding tissues from any angl

    The 10-year Framingham risk in 3 subgroups of patients.

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    <p>The risk is lower in individuals with both CACS = 0 and Tertile 1 of Big ET-1. Group A: CACS = 0 and Tertile 1 of Big ET-1; Group C: CACS >0 and Tertile 3 of Big ET-1; Group B: Others.</p

    ROC curves for the Big ET-1 and HbA1c.

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    <p>ROC curves showed discriminatory power of baseline Big ET-1 and HbA1c on population with CAC.</p

    Relation between Coronary Artery Calcium score and Big ET-1 tertiles.

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    <p>Tertile 1: Patients with Plasma Big ET-1 level between 0.08 to 0.23 pmol/L; Tertile 2: Patients with Plasma Big ET-1 level between 0.24 to 0.52 pmol/L; Tertile 3: Patients with Plasma Big ET-1 level between 0.53 to 3.70 pmol/L.</p

    Procedural characteristics.

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    <p>Values are expressed as n (%), mean Β± SD or median with interquartile range.</p><p>HbA1c β€Š=β€Šglycated hemoglobin; LM β€Š=β€Š left main; LAD β€Š=β€Š left anterior descending; LCX β€Š=β€Š left circumflex; RCA β€Š=β€Š right coronary artery; LMWH β€Š=β€Š low molecular weight heparin; GPI β€Š=β€Š glycoprotein inhibitors.</p

    Analysis of factors related to postprocedural cTnI levels (log-transformed).

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    <p>MI β€Š=β€Š myocardial infarcton; PCI β€Š=β€Š percutaneous coronary intervention; CABG β€Š=β€Š coronary artery bypass graft; CAD β€Š=β€Š coronary artery disease; LDL-C β€Š=β€Š low-density lipoprotein cholesterol; HDL-C β€Š=β€Š high-density lipoprotein cholesterol; hs-CRP β€Š=β€Š high-sensitivity C-reactive protein; NT-proBNP β€Š=β€Š N-terminal pro-brain natriuretic peptide; cTnI, cardiac troponin I.</p

    Odds ratio for postprocedural cTnI elevation associated with 1% increment in the HbA1c.

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    <p>HbA1c β€Š=β€Šglycated hemoglobin; cTnI β€Š=β€Š cardiac troponin I; OR β€Š=β€Š odds ratio; ULN β€Š=β€Š upper limit of normal; MI β€Š=β€Š myocardial infarcton; NT-proBNP β€Š=β€Š N-terminal pro-brain natriuretic peptide.</p

    Relation of Leukocytes and Its Subsets Counts with the Severity of Stable Coronary Artery Disease in Patients with Diabetic Mellitus

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    <div><p>Background</p><p>Both coronary artery disease (CAD) and diabetes mellitus (DM) are associated with inflammation. However, whether and which leukocytes can predict the presence and extent of CAD in patients with DM has not been investigated. The aim of the present study was to examine the association of leukocyte and its subsets counts with the severity of CAD in patients with DM.</p><p>Methods and Findings</p><p>Three hundred and seventy-three diabetic patients who were scheduled for coronary angiography due to typical stable angina pectoris were enrolled in this study. They were classified into the three groups according to tertiles of Gensini score (GS, low group <8, nβ€Š=β€Š143; intermediate group 8∼28, nβ€Š=β€Š109; high group >28, nβ€Š=β€Š121). The relationship between the leukocyte and its subsets counts with the severity of CAD were evaluated. The data indicated that there were significant correlations between leukocyte and neutrophil counts with GS (rβ€Š=β€Š0.154 and 0.156, respectively, all P<0.003 for Pearson's correlation). Similarly, area under the receivers operating characteristic curve of leukocyte and neutrophil counts were 0.61 and 0.60 respectively (95%CI: 0.55–0.67, all Pβ€Š=β€Š0.001) for predicting high GS. Multivariate logistic regression analysis demonstrated that leukocyte count was an independent predictor for high GS patients with DM (ORβ€Š=β€Š1.20, 95%CI 1.03–1.39, Pβ€Š=β€Š0.023) after adjusting for conventional risk factors of CAD.</p><p>Conclusions</p><p>Compared with its subsets, leukocyte count appeared to be an independent predictor for the severity of CAD and the optimal cut-off value for predicting high GS (>28 points) was 5.0Γ—10<sup>9</sup> cells/L in diabetic patients.</p></div

    Baseline clinical characteristics.

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    <p>Values are expressed as mean Β± SD, median with interquartile range or n (%).</p><p>LDL-C β€Š=β€Š low-density lipoprotein cholesterol; MI β€Š=β€Š myocardial infarcton; PCI β€Š=β€Š percutaneous coronary intervention; CABG β€Š=β€Š coronary artery bypass graft; CAD β€Š=β€Š coronary artery disease; HDL-C β€Š=β€Š high-density lipoprotein cholesterol; hs-CRP β€Š=β€Š high-sensitivity C-reactive protein; NT-proBNP β€Š=β€Š N-terminal pro-brain natriuretic peptide; cTnI β€Š=β€Š cardiac troponin I; CCBs β€Š=β€Š calcium channel blockers; ACE β€Š=β€Š angiotensin-converting enzyme; ARBs β€Š=β€Š angiotensin receptor blockers.</p
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