The prevalence of RHD is several fold higher using echocardiographic screening compared with clinical examination. The prevalence is higher among girls and children of lower socioeconomic status. In the majority of cases, subclinical RHD appears to be non-progressive on medium term follow up. Routine echocardiographic screening may be indicated in populations at high risk of RHD.

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ObjectiveTo study the temporal relationship of smoking with electrophysiological changes.DesignProspective observational study.SettingTertiary cardiac center.ParticipantsMale smokers with atypical chest pain were screened with a treadmill exercise test (TMT). A total of 31 such patients aged 49.8±10.5 years, in whom TMT was either negative or mildly positive were included. Heart rate variability (HRV) parameters of smokers were compared to those of 15 healthy non-smoking participants.InterventionsAll patients underwent a 24 h Holter monitoring to assess ECG changes during smoking periods.ResultsHeart rate increased acutely during smoking. Mean heart rate increased from 83.8±13.7 bpm 10 min before smoking, to 90.5±16.4 bpm during smoking, (p<0.0001) and returned to baseline after 30 min. Smoking was also associated with increased ectopic beats (mean of 5.3/h prior to smoking to 9.8/h during smoking to 11.3/h during the hour after smoking; p<0.001). Three patients (9.7%) had significant ST–T changes after smoking. HRV index significantly decreased in smokers (15.2±5.3) as compared to non-smoking controls participants (19.4±3.6; p=0.02), but the other spectral HRV parameters were comparable.ConclusionsHeart rate and ectopic beats increase acutely following smoking. Ischaemic ST–T changes were also detected during smoking. Spectral parameters of HRV analysis of smokers remained in normal limits, but more importantly geometrical parameter—HRV index—showed significant abnormality.

Background & objectives:With improved survival of childhood cancer patients, the number of long-term cancer survivors is increasing. Some studies have assessed the long-term morbidity after childhood cancer treatment in the developing countries. This study was conducted to assess the spectrum of late effects of cancer treatment in paediatric cancer survivors.Methods:Evaluation of the first 300 patients who completed five years of follow up in the after treatment completion clinic was done. Details of primary diagnosis, treatment received and current clinical status were noted. The spectrum of late effects was ascertained by appropriate investigations.Results:Haematological malignancies comprised 25 per cent of total cases. Most common primary diagnosis comprised acute lymphoblastic leukaemia, retinoblastoma and Hodgkin's lymphoma. The median age at evaluation and follow up was 14 and 8.5 yr, respectively. Twenty three per cent (69) of the survivors had a minimal disability (growth retardation or underweight), 13 per cent (39) had moderate disabilities needing medical attention (hepatitis B surface antigen positive, myocardial dysfunction, azoospermia and hypothyroidism), while two per cent had major/life-threatening disabilities (mental retardation, liver disease and mortality). Eleven patients relapsed on follow up, of those five patients expired. Two second malignancies were recorded during the period of follow up.Interpretation & conclusions:Late effects were of concern; however, severe disability (Grade 3-5) was seen in only two per cent survivors. Lifelong follow up of childhood cancer survivors is required to assess cancer-related morbidity, occurrence of a secondary neoplasm, to facilitate timely diagnosis and to implement remedial or preventive interventions to optimize health outcomes. Awareness towards the existence of late effects of cancer therapy is required among parents, patients and health professionals.

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Next generation sequencing (NGS) is perhaps one of the most exciting advances in the field of life sciences and biomedical research in the last decade. With the availability of massive parallel sequencing, human DNA blueprint can be decoded to explore the hidden information with reduced time and cost. This technology has been used to understand the genetic aspects of various diseases including cardiomyopathies. Mutations for different cardiomyopathies have been identified and cataloging mutations on phenotypic basis are underway and are expected to lead to new discoveries that may translate to novel diagnostic, prognostic and therapeutic targets. With ease in handling NGS, cost effectiveness and fast data output, NGS is now considered as a diagnostic tool for cardiomyopathy by providing targeted gene sequencing. In addition to the number of genetic variants that are identified in cardiomyopathies, there is a need of quicker and easy way to screen multiple genes associated with the disease. In this review, an attempt has been made to explain the NGS technology, methods and applications in cardiomyopathies and their perspective in clinical practice and challenges which are to be addressed.

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