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首页> 外文期刊>Journal of Clinical and Diagnostic Research >Surveillance of Swine Flu Influenza H1N1 by Chip Based Real Time PCR Technology from the Clinical Specimens in a Tertiary Care Hospital
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Surveillance of Swine Flu Influenza H1N1 by Chip Based Real Time PCR Technology from the Clinical Specimens in a Tertiary Care Hospital

机译：基于芯片的实时PCR技术从三级医院的临床标本中监测猪流感H1N1

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Influenza viruses are one of the most important viruses which have the ability to cause epidemics and pandemics. Swine flu influenza H1N1 pandemic in 2009 has seen an alarming response from all over the world. Since then continuous surveillance is ongoing to find any new swine flu case. Molecular techniques using real time Polymerase Chain Reaction (PCR) technology gained momentum for the identification of these infections.Aim: The study aims to identify the prevalence of swine flu influenza H1N1 cases by using Truenat H1N1 micro PCR system and to understand the clinical and demographical distribution of cases attending the tertiary care hospital.Materials and Methods: This was a prospective study done during the period of Jan 2017 to Dec 2017. All the suspected cases for influenza like illness attending our hospital were included in the study. Only samples from category C patients were subjected to laboratory testing for H1N1. Clinical specimens like nasal or throat or nasopharyngeal swabs were collected by nylon swab and transported in the viral lysis medium. Viral nucleic acid detection was done by Truenat H1N1 micro PCR system (Molbio diagnostics, Bangalore).Results: A total of 205 samples were obtained during the study period. Out of which 15 samples (7.3%) were tested positive for swine flu influenza H1N1 by Truenat H1N1 micro PCR system. Out of these 15 cases five cases died with the case fatality rate of 33.3%. Majority of the samples were from males accounting for 65.3% followed by females 34.7%. Majority of the cases were in the age group of 30-39 year (24.8%) followed by 40-49 year age group (22.9%). Majority of the patients presented with fever (96.5%) followed by cough (75%) and cold (63.9%). Associated comorbid conditions identified were diabetes (18%), chronic kidney disease (5.3%), pre existing lung diseases (6.8%) and pregnancy (2.4%).Conclusion: Early and accurate detection of swine flu cases is the best way to undertake any interventions in the management of any epidemic or pandemic. In order to do so, molecular techniques like Truenat H1N1 chip based real time PCR technology systems will be extremely helpful in countries like India where testing is necessary especially in the peripheral settings.
机译：流感病毒是最重要的病毒之一，具有引起流行病和大流行病的能力。 2009年的猪流感H1N1流感大流行已引起全世界的震惊。从那时起，持续进行监视以发现任何新的猪流感病例。目的：这项研究旨在通过Truenat H1N1微型PCR系统来鉴定猪流感H1N1病例的流行情况，并了解这种疾病的流行趋势。 材料与方法：这是一项在2017年1月至2017年12月期间进行的前瞻性研究。研究。仅来自C类患者的样本接受了H1N1的实验室测试。用尼龙拭子收集临床标本，如鼻或咽喉或鼻咽拭子，并在病毒裂解液中运输。病毒核酸检测通过Truenat H1N1微型PCR系统（Molbio diagnostics，班加罗尔）完成。结果：在研究期间共获得205个样品。通过Truenat H1N1微型PCR系统对其中的15份样品（7.3％）的猪流感H1N1阳性检测。在这15例病例中，有5例死亡，病死率为33.3％。样本大部分来自男性，占65.3％，其次是女性，占34.7％。多数病例在30-39岁年龄段（24.8％），其次是40-49岁年龄段（22.9％）。多数患者发烧（96.5％），然后是咳嗽（75％）和感冒（63.9％）。确定的相关合并症为糖尿病（18％），慢性肾脏疾病（5.3％），既往肺病（6.8％）和妊娠（2.4％）。结论：最好及早发现猪流感病例采取任何干预措施来管理任何流行病或大流行病的方式。为此，基于Truenat H1N1芯片的实时PCR技术系统等分子技术将在印度等需要测试的国家（尤其是外围环境）中非常有用。

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