Comparison of rapid dengue NS1, qualitative ELISA, and quantitative ELISA result

Author:

Nilekeri Manali,Taklikar Shripad

Abstract

Background: Non-structural glycoprotein-1 (NS1) is a useful biomarker for early diagnosis of dengue fever. NS-1 antigen ELISA can be used for the early diagnosis of dengue fever in the acute stage. Quantitative methods are better for epidemic settings due to high false negative rates in qualitative ELISA. Methods: The study was initiated after approval from the institutional ethics council (IEC/DISS/17118). Study examined 280 patients with dengue symptoms who presented to the hospital's OPDs and IPDs. Patients were tested using qualitative ELISA, and those with Leptospira antibody, malaria, or Chikungunya IgM antibody were excluded. Age, gender, symptoms, comorbidities, total leucocyte count, platelet count, and risk category were all patient-related parameters. Patient-related parameters were recorded, and data was collected using Microsoft excel and analysed statistically. Results: Most patients aged 2-40 with male predominance had fever, chills, and body aches, 243 (86.8%) tested positive for ELISA NS1. Quantitative ELISA test showed a statistically significant correlation with rapid antigen NS1 result (p=0.015). Its AUC was 0.883 (p=0.0001), and its cut-off was (>109.1) with 96.9% sensitivity and 13.64% specificity. The AUC of quantitative ELISA NS1 against qualitative ELISA NS1 was 0.853 which was statistically significant (p<0.0001). At the cut-off >74.34, the test's sensitivity was 92.59% and specificity was 75.68%. Conclusions: Qualitative ELISA NS1 test is better than rapid antigen test for screening due to its higher specificity and similar sensitivity.

Publisher

Medip Academy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3