{"title":"Seroprevalence of COVID-19 Antibodies among Patients with Haemophilia","authors":"Chetan Garg","doi":"10.24321/2349.7181.202215","DOIUrl":null,"url":null,"abstract":"comorbidities affecting the patient determine the severity. Method: The place of study was Lok Nayak Hospital located in New Delhi. The type of study was prospective observational. The incorporation of 112 subjects was done for the study on the basis of inclusion criteria. Informed consent was obtained from the patients after which they underwent rigorous history taking, general and systemic examination and relevant investigations. Interpretation and compilation were done with MS Excel (R) Office 365, GraphPad Prism 8.4.2 and Statistical Package for Social Sciences version 25. Seroprevalence was estimated by measuring the COVID-19 antibodies in these patients’ serum with an ELISA kit. Results: Seroprevalence in the current study came out to be 13.39%, which was significantly lower as compared to the overall pooled seroprevalence of India. This was due to better knowledge, awareness and care taken by these patients towards the disease during the pandemic times. COVID-19 antibody index was in low ranges in patients with haemophilia (PWH) and further exploration and subsequent seroprevalence studies are needed to monitor the antibody index. Conclusion: Many factors contribute to the seroprevalence of COVID-19, including demographic profile, occupation, socio-economic status of the country, and personal protective measures taken. Seroprevalence studies are important in making healthcare policies and prioritisation in the early rollout of vaccination for susceptible groups of people and their protection.","PeriodicalId":13835,"journal":{"name":"International Journal of Advanced Research in Medicine","volume":"101 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Research in Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24321/2349.7181.202215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
comorbidities affecting the patient determine the severity. Method: The place of study was Lok Nayak Hospital located in New Delhi. The type of study was prospective observational. The incorporation of 112 subjects was done for the study on the basis of inclusion criteria. Informed consent was obtained from the patients after which they underwent rigorous history taking, general and systemic examination and relevant investigations. Interpretation and compilation were done with MS Excel (R) Office 365, GraphPad Prism 8.4.2 and Statistical Package for Social Sciences version 25. Seroprevalence was estimated by measuring the COVID-19 antibodies in these patients’ serum with an ELISA kit. Results: Seroprevalence in the current study came out to be 13.39%, which was significantly lower as compared to the overall pooled seroprevalence of India. This was due to better knowledge, awareness and care taken by these patients towards the disease during the pandemic times. COVID-19 antibody index was in low ranges in patients with haemophilia (PWH) and further exploration and subsequent seroprevalence studies are needed to monitor the antibody index. Conclusion: Many factors contribute to the seroprevalence of COVID-19, including demographic profile, occupation, socio-economic status of the country, and personal protective measures taken. Seroprevalence studies are important in making healthcare policies and prioritisation in the early rollout of vaccination for susceptible groups of people and their protection.
影响患者的合并症决定了严重程度。方法:研究地点为位于新德里的Lok Nayak医院。研究类型为前瞻性观察性研究。根据纳入标准纳入112名受试者进行研究。在获得患者知情同意后,患者接受了严格的病史记录、全面和系统检查以及相关调查。使用MS Excel (R) Office 365、GraphPad Prism 8.4.2和Statistical Package for Social Sciences version 25进行解译和编译。采用ELISA试剂盒检测患者血清中COVID-19抗体,估计血清阳性率。结果:本研究血清阳性率为13.39%,与印度整体血清阳性率相比显著降低。这是由于这些患者在大流行期间对该疾病有了更好的了解、认识和护理。血友病(PWH)患者的COVID-19抗体指数处于较低水平,需要进一步探索和后续的血清阳性率研究来监测抗体指数。结论:影响COVID-19血清阳性率的因素很多,包括人口结构、职业、国家社会经济状况、个人防护措施等。血清阳性率研究对于制定卫生保健政策和确定早期为易感人群接种疫苗的优先顺序及其保护具有重要意义。