43 research outputs found

    Baseline spectral Doppler coronary flow velocity signal in right coronary artery (A) and left anterior descending coronary artery (B)

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    <p><b>Copyright information:</b></p><p>Taken from "Echocardiographic and hemodynamic determinants of right coronary artery flow reserve and phasic flow pattern in advanced non-ischemic cardiomyopathy"</p><p>http://www.cardiovascularultrasound.com/content/5/1/31</p><p>Cardiovascular Ultrasound 2007;5():31-31.</p><p>Published online 26 Sep 2007</p><p>PMCID:PMC2137923.</p><p></p> S = systolic, D = diastolic, portions of phasic coronary flow. APV = time-averaged peak coronary flow velocity. DSVR = diastolic/systolic flow velocity ratio

    Right coronary artery spectral Doppler coronary flow velocity signal in baseline (A) and hyperemic (B) conditions

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    <p><b>Copyright information:</b></p><p>Taken from "Echocardiographic and hemodynamic determinants of right coronary artery flow reserve and phasic flow pattern in advanced non-ischemic cardiomyopathy"</p><p>http://www.cardiovascularultrasound.com/content/5/1/31</p><p>Cardiovascular Ultrasound 2007;5():31-31.</p><p>Published online 26 Sep 2007</p><p>PMCID:PMC2137923.</p><p></p> S = systolic, D = diastolic, portions of phasic coronary flow. APV = time-averaged peak coronary flow velocity. DSVR = diastolic/systolic flow velocity ratio

    Box-plot representing the RCA vs LAD comparison respecting the coronary flow reserve, showing no significant difference

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    <p><b>Copyright information:</b></p><p>Taken from "Echocardiographic and hemodynamic determinants of right coronary artery flow reserve and phasic flow pattern in advanced non-ischemic cardiomyopathy"</p><p>http://www.cardiovascularultrasound.com/content/5/1/31</p><p>Cardiovascular Ultrasound 2007;5():31-31.</p><p>Published online 26 Sep 2007</p><p>PMCID:PMC2137923.</p><p></p> LAD – left anterior descending coronary artery; N – number of patients; RCA – right coronary artery

    Box-plot representing the RCA phasic coronary flow pattern (D/S) according the RV ejection fraction, showing no difference between RV non-dysfunctional vs

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    <p><b>Copyright information:</b></p><p>Taken from "Echocardiographic and hemodynamic determinants of right coronary artery flow reserve and phasic flow pattern in advanced non-ischemic cardiomyopathy"</p><p>http://www.cardiovascularultrasound.com/content/5/1/31</p><p>Cardiovascular Ultrasound 2007;5():31-31.</p><p>Published online 26 Sep 2007</p><p>PMCID:PMC2137923.</p><p></p> dysfunctional subgroups. APV – time-averaged peak coronary flow velocity; D/S – diastolic/systolic APV ratio; N – number of patients; RCA – right coronary artery; RV EF – right ventricular ejection fraction

    Population stratification of Brazilian Chagas cohort along with Hapmap populations.

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    <p>Each point on the plot represents an individual; each population is coded in a different color. The populations are: ASW: African ancestry in Southwest USA; CEU: Utah residents with Northern and Western European ancestry from the CEPH collection; CHB: Han Chinese in Beijing, China; CHD: Chinese in Metropolitan Denver, Colorado; GIH: Gujarati Indians in Houston, Texas; JPT: Japanese in Tokyo, Japan; LWK: Luhya in Webuye, Kenya; MEX: Mexican ancestry in Los Angeles, California; MKK: Maasai in Kinyawa, Kenya; TSI: Toscans in Italy; YRI: Yoruba in Ibadan, Nigeria.A) Dimension 1 vs. Dimension 2; B) Dimension 2 vs Dimension 3.</p

    Genome Wide Association Study (GWAS) of Chagas Cardiomyopathy in <i>Trypanosoma cruzi</i> Seropositive Subjects

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    <div><p>Background</p><p>Familial aggregation of Chagas cardiac disease in <i>T. cruzi</i>–infected persons suggests that human genetic variation may be an important determinant of disease progression.</p><p>Objective</p><p>To perform a GWAS using a well-characterized cohort to detect single nucleotide polymorphisms (SNPs) and genes associated with cardiac outcomes.</p><p>Methods</p><p>A retrospective cohort study was developed by the NHLBI REDS-II program in Brazil. Samples were collected from 499 <i>T. cruzi</i> seropositive blood donors who had donated between1996 and 2002, and 101 patients with clinically diagnosed Chagas cardiomyopathy. In 2008–2010, all subjects underwent a complete medical examination. After genotype calling, quality control filtering with exclusion of 20 cases, and imputation of 1,000 genomes variants; association analysis was performed for 7 cardiac and parasite related traits, adjusting for population stratification.</p><p>Results</p><p>The cohort showed a wide range of African, European, and modest Native American admixture proportions, consistent with the recent history of Brazil. No SNPs were found to be highly (P<10<sup>−8</sup>) associated with cardiomyopathy. The two mostly highly associated SNPs for cardiomyopathy (rs4149018 and rs12582717; P-values <10<sup>−6</sup>) are located on Chromosome 12p12.2 in the SLCO1B1 gene, a solute carrier family member. We identified 44 additional genic SNPs associated with six traits at P-value <10<sup>-6</sup>: Ejection Fraction, PR, QRS, QT intervals, antibody levels by EIA, and parasitemia by PCR.</p><p>Conclusion</p><p>This GWAS identified suggestive SNPs that may impact the risk of progression to cardiomyopathy. Although this Chagas cohort is the largest examined by GWAS to date, (580 subjects), moderate sample size may explain in part the limited number of significant SNP variants. Enlarging the current sample through expanded cohorts and meta-analyses, and targeted studies of candidate genes, will be required to confirm and extend the results reported here. Future studies should also include exposed seronegative controls to investigate genetic associations with susceptibility or resitance to <i>T. cruzi</i> infection and non-Chagas cardiomathy.</p></div

    The role of air pollution in myocardial remodeling

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    Dataset regarding the datas from "The role of air pollution in myocardial remodeling"protocol.  These data are related to the primary endpoint.<div><br></div><div><br></div

    Importance of Clinical and Laboratory Findings in the Diagnosis and Surgical Prognosis of Patients with Constrictive Pericarditis

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    <div><p>Abstract Background: International studies have reported the value of the clinical profile and laboratory findings in the diagnosis of constrictive pericarditis. However, Brazilian population data are scarce. Objective: To assess the clinical characteristics, sensitivity of imaging tests and factors related to the death of patients with constrictive pericarditis undergoing pericardiectomy. Methods: Patients with constrictive pericarditis surgically confirmed were retrospectively assessed regarding their clinical and laboratory variables. Two methods were used: transthoracic echocardiography and cardiac magnetic resonance imaging. Mortality predictors were determined by use of univariate analysis with Cox proportional hazards model and hazard ratio. All tests were two-tailed, and an alpha error ≤ 5% was considered statically significant. Results: We studied 84 patients (mean age, 44 ± 17.9 years; 67% male). Signs and symptoms of predominantly right heart failure were present with jugular venous distention, edema and ascites in 89%, 89% and 62% of the cases, respectively. Idiopathic etiology was present in 69.1%, followed by tuberculosis (21%). Despite the advanced heart failure degree, low BNP levels (median, 157 pg/mL) were found. The diagnostic sensitivities for constriction of echocardiography and magnetic resonance imaging were 53.6% and 95.9%, respectively. There were 9 deaths (10.7%), and the risk factors were: anemia, BNP and C reactive protein levels, pulmonary hypertension >55 mm Hg, and atrial fibrillation. Conclusions: Magnetic resonance imaging had better diagnostic sensitivity. Clinical, laboratory and imaging markers were associated with death.</p></div

    Spearman rank correlation coefficients of adiponectin with autonomic nervous system indices and inflammatory cytokines.

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    <p>* P value < 0,05</p><p>HFr: high frequency; LFr: low frequency; n.u.: normalized units; TNF-alpha: Tumor Necrosis Factor-alpha</p><p>There were significant correlations between leptin with some ANS assessment indexes in LVD group. Leptin level is associated positively with the LFr component and negatively with the HFr component in 24-hour Holter. No correlations between leptin and inflammatory cytokines were found. The values of correlations of leptin are shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131447#pone.0131447.t007" target="_blank">Table 7</a>.</p><p>Spearman rank correlation coefficients of adiponectin with autonomic nervous system indices and inflammatory cytokines.</p
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