STUDY OF PERFORMANCE CHARACTERISTICS OF TSH ON FINECARE™ POCT DEVICE

Author:

KAUR JASPREETORCID,SINGH MITHILESH KUMAR,SAMADHIYA AMIT,GUPTA GITANJALI,CHANE RENU,KAUR JASWANT

Abstract

Objective: Thyroid diseases can be diagnosed and monitored by serum thyroid stimulating hormone (TSH) measurement along with serum T3 and T4 (both free and total). However, TSH is used to distinguish between euthyroid and hyperthyroid patients. Hence, analysis sensitivity of the TSH assay plays a very significant role. Aims and objectives – The aim of the study was to perform the precision study, calculate the randomerror and analytical measurement rangeverification, as well as verify the accuracy of TSH estimation on Finecare™ point of care testing (POCT). Methods: The experimental evaluation was done in preliminary and final parts. The preliminary part calculates random errors, systemic errors, and recovery whereas the final evaluation comprises the implementation of the method comparison between chemiluminescence and immunofluorescence assay (CLIA). Results: In the preliminary evaluation, the inter-assay-high-value sample had CV% was 15 whereas the low-value sample has 13, and the intra-assay had a CV% of 5.8. The recovery test shows 22.22% CV. The final evaluation of the new method Immuno Fluorescence Assay and reference method (CLIA) has a correlation of coefficient 0.9937. Conclusion: POCT reduces pre-analytical error by reducing misidentification of the patient, specimen, and sample handling. This reduces the turn-around time. It helps to improve the quality of care, healthy outcomes, and affordability.

Publisher

Innovare Academic Sciences Pvt Ltd

Subject

Pharmacology (medical),Pharmaceutical Science,Pharmacology

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