15 research outputs found

    Single Nucleotide Polymorphisms of Toll-like Receptor 4 in Hepatocellular Carcinoma—A Single-Center Study

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    Hepatocellular carcinoma (HCC) is the most common primary liver tumor leading to significant morbidity and mortality; its exact genetic background is largely unrecognized. Toll-like receptor-4 (TLR4) reacts with lipopolysaccharides, molecules found in the outer membrane of Gram-negative bacteria. In damaged liver, TLR4 expression is upregulated, leading to hepatic inflammation and injury. We tried to investigate the role of the two most common single-nucleotide polymorphisms (SNPs) of TLR4 in HCC-genesis. Aged > 18 years old, cirrhotic patients were included in this study. Exclusion criteria were non-HCC tumors and HIV co-infection. TLR4 SNPs association with HCC occurrence was the primary endpoint, and associations with all-cause and liver-related mortality, as well as time durations between diagnosis of cirrhosis and HCC development or death and diagnosis of HCC and death were secondary endpoints. A total of 52 out of 260 included patients had or developed HCC. TLR4 SNPs showed no correlation with primary or secondary endpoints, except for the shorter duration between HCC development and death in patients with TLR4 mutations. Overall, TLR4 SNPs showed no correlation with carcinogenesis or deaths in patients with liver cirrhosis; patients with TLR4 SNPs that developed HCC had lower survival rates, a finding that should be further evaluated

    Clinical predictors of outcome in patients with inflammatory dilated cardiomyopathy

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    Objectives The study objectives were to identify predictors of outcome in patients with inflammatory dilated cardiomyopathy (DCMi). Methods From 2004 to 2008, 55 patients with biopsy-proven DCMi were identified and followed up for 58.2 +/- 19.8 months. Predictors of outcome were identified in a multivariable analysis with a Cox proportional hazards analysis. The primary endpoint was a composite of death, heart transplantation and hospitalization for heart failure or ventricular arrhythmias. Results For the primary endpoint, a QTc interval > 440msec (HR 2.84; 95% CI 1.03-7.87; p = 0.044), a glomerular filtration rate (GFR) <60ml/min/1.73m(2) (HR 3.19; 95% CI 1.35-7.51; p = 0.008) and worsening of NYHA classification during follow-up (HR 2.48; 95% CI 1.01-6.10; p = 0.048) were univariate predictors, whereas left ventricular ejection fraction at baseline, NYHA class at entry, atrial fibrillation, treatment with digitalis or viral genome detection were not significantly related to outcome. After multivariable analysis, a GFR < 60ml/min/1.73m(2) (HR 3.04; 95% CI 1.21-7.66; p = 0.018) remained a predictor of adverse outcome. Conclusions In patients with DCMi, a prolonged QTc interval > 440msec, a GFR <60ml/min/1.73m(2) and worsening of NYHA classification during follow-up were univariate predictors of adverse prognosis. In contrast, NYHA classification at baseline, left ventricular ejection fraction, atrial fibrillation, treatment with digitalis or viral genome detection were not related to outcome. After multivariable analysis, a GFR < 60ml/min/1.73m(2) remained independently associated with adverse outcome

    Clinical predictors of outcome in patients with inflammatory dilated cardiomyopathy

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    <div><p>Objectives</p><p>The study objectives were to identify predictors of outcome in patients with inflammatory dilated cardiomyopathy (DCMi).</p><p>Methods</p><p>From 2004 to 2008, 55 patients with biopsy-proven DCMi were identified and followed up for 58.2±19.8 months. Predictors of outcome were identified in a multivariable analysis with a Cox proportional hazards analysis. The primary endpoint was a composite of death, heart transplantation and hospitalization for heart failure or ventricular arrhythmias.</p><p>Results</p><p>For the primary endpoint, a QTc interval >440msec (HR 2.84; 95% CI 1.03–7.87; p = 0.044), a glomerular filtration rate (GFR) <60ml/min/1.73m<sup>2</sup> (HR 3.19; 95% CI 1.35–7.51; p = 0.008) and worsening of NYHA classification during follow-up (HR 2.48; 95% CI 1.01–6.10; p = 0.048) were univariate predictors, whereas left ventricular ejection fraction at baseline, NYHA class at entry, atrial fibrillation, treatment with digitalis or viral genome detection were not significantly related to outcome. After multivariable analysis, a GFR <60ml/min/1.73m<sup>2</sup> (HR 3.04; 95% CI 1.21–7.66; p = 0.018) remained a predictor of adverse outcome.</p><p>Conclusions</p><p>In patients with DCMi, a prolonged QTc interval >440msec, a GFR<60ml/min/1.73m<sup>2</sup> and worsening of NYHA classification during follow-up were univariate predictors of adverse prognosis. In contrast, NYHA classification at baseline, left ventricular ejection fraction, atrial fibrillation, treatment with digitalis or viral genome detection were not related to outcome. After multivariable analysis, a GFR <60ml/min/1.73m<sup>2</sup> remained independently associated with adverse outcome.</p></div

    Characteristics of patients with or without LVEF improvement<sup>*</sup>.

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    <p>Characteristics of patients with or without LVEF improvement<sup><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0188491#t002fn002" target="_blank">*</a></sup>.</p

    (a-k). Unadjusted survival free from death, heart transplantation and hospitalization for heart failure or ventricular arrhythmias in relation to clinical, laboratory, electrocardiographic, echocardiographic parameters and immunohistochemical parameters.

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    <p>a: gender; b: NYHA functional class; c: left ventricular ejection fraction (LVEF); d: QTc interval; e: treatment with digitalis; f: atrial fibrillation; g: mitral regurgitation; h: glomerular filtration rate (GFR), i: myocardial fibrosis, j: inflammatory cell count on endomyocardial biopsy, k: viral genome detection.</p
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