Our study suggests that the addition of consolidation radiation helps improve the EFS and OS in patients achieving a complete remission after six cycles of ABVD chemotherapy, particularly in the younger age group and in patients with B symptoms and bulky and advanced disease.
Congenital heart disease (CHD) is one of the most important causes of the death of children and young adults. Most of the patients do not survive past their teen years. This occurs either due to delay in diagnosis or no diagnosis at all. In recent times, several studies have shown the importance of biomarkers in the prediction of such defects. These biomarkers give the real time snapshot of the on going processes inside the cells and can significantly support the diagnosis of CHD. The present experiment was designed as an observational single centre pilot study to identify and establish the diagnostic metabolic signatures associated with the congenital heart diseases. Metabolic profiles of sera collected from 35 cyanotic congenital heart disease patients and 15 controls were obtained using high-resolution 1D 1H CPMG and NMR spectra. The metabolic profiles were compared using multivariate statistical analysis to identify the disease specific metabolic disturbances associated with cyanotic heart disease. The results show perturbation in several metabolites in cyanotic CHD patients versus controls. The discriminatory metabolites were further analysedwith area under receiver operating characteristic (AUROC) curve and identified five metabolic entities (i.e.valine, glucose, glutamine, creatinineand PUFA) which could differentiate cyanotic CHDs from controls with higher specificity.In conclusion, untargeted metabolic approach proved to be helpful in identifying and differentiating disease causing metabolites in cyanotic cases from controls.
Background: The use of endoscopic thyroid surgical procedures leads to avoid the surgical scar in the neck. In this paper we evaluate the merits and limits of endoscopic thyroid surgery through breast and axillary approach.
BackgroundThere is an accumulating body of evidence indicating a strong association between inflammation and the pathogenesis of atrial fibrillation (AF) in different ethnicities across the globe. AF increases the risk of stroke and heart failure. Despite various researches on IL‐10 response, there is limited clinical evidence present, which demonstrate a role of these immunity regulators in AF. Therefore, this study was designed to decipher the role of IL‐10(‐592A/C) polymorphism in the development of postoperative AF (post‐OP AF).MethodThe study was designed for north Indian patients. The study included 90 patients with AF and 126 controls in sinus rhythm undergoing surgery at Department of Cardiovascular and thoracic surgery, SGPGIMS, Lucknow, India. DNA samples were genotyped for common single nucleotide polymorphism (SNP) in gene IL‐10(‐592A/C). The PCR‐based RFLP technique was used to assess the genotype frequencies. The multivariable logistic regression analysis was performed to study the association of other risk factors with AF.ResultsThe distribution of IL‐10(‐592A/C) genotypes (CC, AC, and AA) was found to be 48.41%, 47.61%, and 3.98% in controls and 41.11%, 45.55%, and 13.34% in cases, respectively (P = .0385). The frequency of allele A in cases was significantly higher than the control group (36.11% vs 27.77%, P = .0654). Compared with CC, AA genotype had increased risk of AF in both unadjusted and adjusted analyses.ConclusionsThis study suggests that IL‐10(‐592A/C) polymorphism may have significant association with post‐OP AF development in north Indian patients.
Background: Growth retardation, malnutrition, and failure to thrive are some of the consequences associated with congenital heart diseases. Several metabolic factors such as hypoxia, anoxia, and several genetic factors are believed to alter the energetics of the heart. Timely diagnosis and patient management is one of the major challenges faced by the clinicians in understanding the disease and provide better treatment options. Metabolic profiling has shown to be potential diagnostic tool to understand the disease. Objective: The present experiment was designed as a single center observational pilot study to classify and create diagnostic metabolic signatures associated with the energetics of congenital heart disease in cyanotic and acyanotic groups. Methods: Metabolic sera profiles were obtained from 35 patients with cyanotic congenital heart disease (TOF) and 23 patients with acyanotic congenital heart disease (ASD and VSD) using high resolution 1D 1H NMR spectra. Univariate and multivariate statistical analysis were performed to classify particular metabolic disorders associated with cyanotic and acyanotic heart disease. Results: The results show dysregulations in several metabolites in cyanotic CHD patients versus acyanotic CHD patients. The discriminatory metabolites were further analyzed with area under receiver operating characteristic (AUROC) curve and identified four metabolic entities (i.e. mannose, hydroxyacetone, myoinositol, and creatinine) which could differentiate cyanotic CHDs from acyanotic CHDs with higher specificity. Conclusion: An untargeted metabolic approach proved to be helpful for the detection and distinction of disease-causing metabolites in cyanotic patients from acyanotic ones and can be useful for designing better and personalized treatment protocol.
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