Comparison of microscopy, card agglutination test for Trypanosoma evansi, and real-time PCR in the diagnosis of trypanosomosis in dromedary camels of the Abu Dhabi Emirate, UAE

Prevalence of infection, sensitivity, positive predictive value (PPV), negative predictive value (NPV) and Cohen’s kappa index (Kappa) (real-time PCR was taken as the reference standard)

Method	Overall prevalence^a	Sensitivity^b	PPV^b	NPV^b	Kappa^c
Microscopy	14/77 (18%)	30.4 (17.1–43.7)	100 (100)	49.2 (38.0–60.4)	0.26 (0.16–0.36)
CATT	17/77 (22%)	37.0 (23.0–50.9)	100 (100)	51.6 (40.5–62.8)	0.09 (0.02–0.15)
Real-time PCR	46/77 (60%)

[i] ^a – Number of positive samples followed by infection prevalence (in %) in parentheses; ^b – Percentage, followed by the 95% confidence interval in parentheses; ^c – Kappa index followed by the 95% confidence interval in parentheses

Table 2

Comparison of microscopy and real-time PCR using McNemar’s chi-squared test

Positive	Negative
Positive	14	32	46
Negative	0	31	31
Total	14	63	77

[i] P value < 0.00001 at 0.05 significance level (degrees of freedom = 1)

Table 3

Comparison of CATT and real-time PCR using McNemar’s chi-squared test

Positive	Negative
Positive	12	34	46
Negative	5	26	31
Total	17	60	77

[i] P value < 0.00001 at 0.05 significance level (degrees of freedom = 1)

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DOI: https://doi.org/10.2478/jvetres-2022-0002 | Journal eISSN: 2450-8608 (formerly 2300-3235)

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Language: English

Page range: 125 - 129

Submitted on: Jul 1, 2021

Accepted on: Jan 3, 2022

Published on: Mar 25, 2022

Published by: National Veterinary Research Institute in Pulawy

In partnership with: Paradigm Publishing Services

Keywords:

Related subjects:

Microbiology and virology,

Life sciences, other,

Medicine,

Veterinary medicine

© 2022 Shameem Habeeba, Rashid Ali Khan, Hassan Zackaria, Saeed Yammahi, Zulaikha Mohamed, Wissam Sobhi, Ayman AbdelKader, Mohamed Ali Alhosani, Salama Al Muhairi, published by National Veterinary Research Institute in Pulawy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 66 (2022): Issue 1 (March 2022)