Performance of Adenosine Deaminase assay in diagnosis of pulmonary & extrapulmonary tuberculosis

作者
Anuja P. Kawle,Arti Mishra,Vinita Hutke,S Shekhawat,Amit R. Nayak,Rima Biswas,Nitin Chandak,Vijay Agrawal,Hatim F. Daginawala,Lokendra Singh,Rajpal S. Kashyap
出处
期刊:medRxiv 被引量:2
标识
DOI:10.1101/2021.04.30.21256025
摘要

Abstract There has been a lot of debate about the use of the Adenosine Deaminase (ADA) for tuberculosis (TB) diagnosis. In the present study, to overcome this debate, we have planned a large scale study in all forms of TB to access the performance of ADA for diagnosis of TB. we have also studied the performance of the ADA in the Tb prognosis. ADA activity was evaluated using Guisti and Galanti method. The sensitivity of the ADA test is impressive in all forms of TB clinical samples analysed for the study (PTB [82%], TBM [85%] TBAR [85%]), and (ATB) [84%]. However, the specificity was variable in pulmonary TB, but satisfactory in extrapulmonary TB (EPTB) cases (i.e TBM [89%], (ATB) [88%], TBAR [88%]). In the follow-up samples, ADA value declined drastically after the anti TB medication (ATT). Our study, which consists of a large number of samples, suggests that the ADA has very limited value in the diagnosis of PTB, and hence it is not recommended for PTB diagnosis. We recommend, ADA test is quite useful for EPTB diagnosis along with other clinical correlations and in absence of other advanced diagnostic tests. However, on the other ADA can be used as a prognostic test for all forms of TB.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
2秒前
汉堡包应助hhh采纳,获得10
2秒前
3秒前
英俊的小懒虫完成签到 ,获得积分10
3秒前
4秒前
我爱学习完成签到,获得积分10
4秒前
默默的完成签到 ,获得积分10
4秒前
SibetHu完成签到,获得积分10
5秒前
5秒前
7秒前
方法发布了新的文献求助10
7秒前
yoqalux发布了新的文献求助10
7秒前
qiyun完成签到,获得积分10
8秒前
小鱼女侠发布了新的文献求助10
8秒前
兴奋灵发布了新的文献求助10
8秒前
9秒前
张欢馨应助阿俊1212采纳,获得10
9秒前
10秒前
Jett22222完成签到,获得积分10
10秒前
yan发布了新的文献求助10
10秒前
yu完成签到,获得积分10
11秒前
YZQ完成签到,获得积分20
12秒前
13秒前
科研狗发布了新的文献求助10
13秒前
丘比特应助小yang采纳,获得10
13秒前
hhh完成签到,获得积分10
13秒前
zlt完成签到,获得积分10
13秒前
俊逸鹏笑完成签到,获得积分10
14秒前
yu发布了新的文献求助10
14秒前
胡明轩完成签到 ,获得积分10
15秒前
Lin完成签到,获得积分10
15秒前
YZQ发布了新的文献求助30
15秒前
16秒前
piaopiao完成签到,获得积分10
16秒前
16秒前
美梦断秋完成签到,获得积分10
16秒前
光亮听云应助ww采纳,获得10
17秒前
18秒前
顺心囧完成签到 ,获得积分10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Health Psychology 800
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7593030
求助须知:如何正确求助?哪些是违规求助? 9170261
关于积分的说明 19627864
捐赠科研通 7170885
什么是DOI,文献DOI怎么找? 3267554
关于科研通互助平台的介绍 2432418
邀请新用户注册赠送积分活动 2260128