Qualification: 
MSc
anjalysnair@aims.amrita.edu

Anjaly S. Nair joined as a Tutor in the Department of Biostatistics at Amrita School of Medicine in July 2017. She completed her MSc Biostatistics and BSc Mathematics from Mahatma Gandhi University, Kottayam. She has 4 years of teaching and research experience in the area of statistics in medical research. She had worked as a trainee – SAS programming in Webdrills Corporate Academy, Bangalore from October 2016 - July 2017 and trainee in the department of biostatistics at Christian Medical College Vellore from July 2016 – October 2016. She had done her post-graduate research projects at Christian Medical College, Vellore, in the topic of 'Factor Analysis' under the Department of Biostatistics.

Seminars / Workshops Attended

  • Workshop on Dissemination Program of ICMR-DBT National Guidelines for Stem Cell Research 2017 conducted at Amrita Institute of Medical Sciences, Kochi February 22, 2018.
  • Workshop on Dissemination Program of National Ethical Guidelines 2017 conducted at Amrita Institute of Medical Sciences, Kochi on February 22, 2018
  • Workshop on Biostatistical Methods in Clinical Research at St.Thomas College, Pala, February 2016
  • Workshop on SAS and R Programming at St.Thomas College, Pala, January 2016
  • Workshop on Clinical Trial and R Programming at MCC Thalassery, October 2015

Publications

Publication Type: Journal Article

Year of Publication Title

2021

Ayswarya Kannan, Dr. Lalitha Biswas, Anil Kumar, Jessy Kurian, Anjaly S. Nair, Parasmal Suresh, Shine Sadasivan, and Dr. Raja Biswas, “Improving Diagnosis of Hepatitis C Virus Infection Using Hepatitis C Core Antigen Testing in a Resource-Poor Setting.”, Rev Soc Bras Med Trop, vol. 54, p. e02532020, 2021.[Abstract]


INTRODUCTION: We compared the hepatitis C virus (HCV) core antigen test with the HCV RNA assay to confirm anti-HCV results to determine whether the HCV core antigen test could be used as an alternative confirmatory test to the HCV RNA test.

METHODS: Sera from 156 patients were analyzed for anti-HCV and HCV core antigen using a chemiluminescent microparticle immunoassay (Architect i2000SR) and for HCV RNA using the artus HCV RG RT-PCR Kit (QIAGEN) in a Rotor-Gene Q instrument.

RESULTS: The diagnostic sensitivity, specificity, and positive and negative predictive values of the HCV core antigen assay compared to the HCV RNA test were 77.35%, 100%, 100%, and 89.38%, respectively. HCV core antigen levels showed a good correlation with those from HCV RNA quantification (r =0.872). However, 13 samples with a viral load of less than 4000 IU/mL were negative in the HCV core antigen assay. All gray-zone reactive samples were also RNA positive and were positive on repeat testing.

CONCLUSIONS: The Architect HCV core antigen assay is highly specific and has an excellent positive predictive value. At the present level of sensitivity (77%), the study is still relevant in a low-income setting in which most of the HCV-positive patients would go undiagnosed, since HCV RNA testing is not available and/or not affordable. HCV core antigen testing can also help determine the true burden of infection in a population, considering the fact that almost 50% of the anti-HCV positive cases are negative for HCV RNA.

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