Field evaluation of diagnostic sensitivity (DSe) and specificity (DSp) of common tests for amoebic gill disease (AGD) and complex gill disease (CGD) in cultured Atlantic salmon (Salmo salar) in Scotland using Bayesian latent class models

Amoebic gill disease (AGD) and complex gill disease (CGD) are the most significant marine gill diseases in salmon aquaculture in Scotland. Little is published about diagnostic performance of tests to detect these diseases, making it difficult to interpret test results. We estimated diagnostic sensit...

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Published in:Preventive Veterinary Medicine
Main Authors: Boerlage, AS, Ashby, Angela, Eze, JI, Gunn, GJ, Reeves, A
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:https://pure.sruc.ac.uk/en/publications/4155a6d2-6e95-405d-ae81-9a374b036336
https://doi.org/10.1016/j.prevetmed.2022.105654
https://pure.sruc.ac.uk/ws/files/46772553/1_s2.0_S0167587722000873_main.pdf
http://www.scopus.com/inward/record.url?scp=85131345130&partnerID=8YFLogxK
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spelling ftsrucpubl:oai:pure.atira.dk:publications/4155a6d2-6e95-405d-ae81-9a374b036336 2024-06-23T07:51:26+00:00 Field evaluation of diagnostic sensitivity (DSe) and specificity (DSp) of common tests for amoebic gill disease (AGD) and complex gill disease (CGD) in cultured Atlantic salmon (Salmo salar) in Scotland using Bayesian latent class models Boerlage, AS Ashby, Angela Eze, JI Gunn, GJ Reeves, A 2022-07 application/pdf https://pure.sruc.ac.uk/en/publications/4155a6d2-6e95-405d-ae81-9a374b036336 https://doi.org/10.1016/j.prevetmed.2022.105654 https://pure.sruc.ac.uk/ws/files/46772553/1_s2.0_S0167587722000873_main.pdf http://www.scopus.com/inward/record.url?scp=85131345130&partnerID=8YFLogxK eng eng https://pure.sruc.ac.uk/en/publications/4155a6d2-6e95-405d-ae81-9a374b036336 info:eu-repo/semantics/openAccess Boerlage , AS , Ashby , A , Eze , JI , Gunn , GJ & Reeves , A 2022 , ' Field evaluation of diagnostic sensitivity (DSe) and specificity (DSp) of common tests for amoebic gill disease (AGD) and complex gill disease (CGD) in cultured Atlantic salmon (Salmo salar) in Scotland using Bayesian latent class models ' , Preventive Veterinary Medicine , vol. 204 , 105654 . https://doi.org/10.1016/j.prevetmed.2022.105654 Gross gill score Histopathology Latent class models Marine gill diseases Sensitivity Specificity /dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water article 2022 ftsrucpubl https://doi.org/10.1016/j.prevetmed.2022.105654 2024-05-29T23:41:29Z Amoebic gill disease (AGD) and complex gill disease (CGD) are the most significant marine gill diseases in salmon aquaculture in Scotland. Little is published about diagnostic performance of tests to detect these diseases, making it difficult to interpret test results. We estimated diagnostic sensitivity (DSe) and specificity (DSp) of common tests for AGD (gross AGD score, qPCR for Neoparamoeba perurans, histopathology) and CGD (gross proliferative gill disease (PGD) score, gross total gill score, histopathology). Because specifications in our sampling protocol implemented to encourage consistency across the farms might affect diagnostic performance of histopathology (historically the reference standard for gill diseases), we used Bayesian latent class models without reference standard. Cases and non-cases were based on less, medium, and severe stringent case definitions, representing different cut-off levels for the different tests. Gross gill scores for both diseases were excellent in designating non-diseased fish, DSps were generally around 1. To detect CGD, DSe of gross total gill score and gross PGD score were between respectively 0.81 (0.73 – 0.91 lower to upper 95% credible interval) and 0.53 (0.46 – 0.64) for medium stringent case definitions, and to detect AGD the DSe for the gross AGD score was between 0.53 (0.48–0.57) and 0.14 (0.07 – 0.22) for respectively the less and severe stringent case definition. Thus, gross gill scores were medium to good in designating truly diseased fish, implying some false negatives are expected. For CGD the DSe for gross total gill scores were the highest, for AGD it was the qPCR test at a DSe of 0.92 (0.86 – 0.99). For both diseases, DSe was lowest for histopathology, e.g. 0.23 (0.16 – 0.30) for AGD and 0.1 (0.07 – 0.14) for CGD under medium stringent case definitions, perhaps due to collecting the second gill arch on the right rather than the worst affected arch, whilst PCR sampling and gross gill scoring included multiple (PCR) or all (gross scoring) gill arches. The ... Article in Journal/Newspaper Atlantic salmon Salmo salar SRUC (Scotland's Rural College): Research Portal Preventive Veterinary Medicine 204 105654
institution Open Polar
collection SRUC (Scotland's Rural College): Research Portal
op_collection_id ftsrucpubl
language English
topic Gross gill score
Histopathology
Latent class models
Marine gill diseases
Sensitivity
Specificity
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water
name=SDG 14 - Life Below Water
spellingShingle Gross gill score
Histopathology
Latent class models
Marine gill diseases
Sensitivity
Specificity
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water
name=SDG 14 - Life Below Water
Boerlage, AS
Ashby, Angela
Eze, JI
Gunn, GJ
Reeves, A
Field evaluation of diagnostic sensitivity (DSe) and specificity (DSp) of common tests for amoebic gill disease (AGD) and complex gill disease (CGD) in cultured Atlantic salmon (Salmo salar) in Scotland using Bayesian latent class models
topic_facet Gross gill score
Histopathology
Latent class models
Marine gill diseases
Sensitivity
Specificity
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water
name=SDG 14 - Life Below Water
description Amoebic gill disease (AGD) and complex gill disease (CGD) are the most significant marine gill diseases in salmon aquaculture in Scotland. Little is published about diagnostic performance of tests to detect these diseases, making it difficult to interpret test results. We estimated diagnostic sensitivity (DSe) and specificity (DSp) of common tests for AGD (gross AGD score, qPCR for Neoparamoeba perurans, histopathology) and CGD (gross proliferative gill disease (PGD) score, gross total gill score, histopathology). Because specifications in our sampling protocol implemented to encourage consistency across the farms might affect diagnostic performance of histopathology (historically the reference standard for gill diseases), we used Bayesian latent class models without reference standard. Cases and non-cases were based on less, medium, and severe stringent case definitions, representing different cut-off levels for the different tests. Gross gill scores for both diseases were excellent in designating non-diseased fish, DSps were generally around 1. To detect CGD, DSe of gross total gill score and gross PGD score were between respectively 0.81 (0.73 – 0.91 lower to upper 95% credible interval) and 0.53 (0.46 – 0.64) for medium stringent case definitions, and to detect AGD the DSe for the gross AGD score was between 0.53 (0.48–0.57) and 0.14 (0.07 – 0.22) for respectively the less and severe stringent case definition. Thus, gross gill scores were medium to good in designating truly diseased fish, implying some false negatives are expected. For CGD the DSe for gross total gill scores were the highest, for AGD it was the qPCR test at a DSe of 0.92 (0.86 – 0.99). For both diseases, DSe was lowest for histopathology, e.g. 0.23 (0.16 – 0.30) for AGD and 0.1 (0.07 – 0.14) for CGD under medium stringent case definitions, perhaps due to collecting the second gill arch on the right rather than the worst affected arch, whilst PCR sampling and gross gill scoring included multiple (PCR) or all (gross scoring) gill arches. The ...
format Article in Journal/Newspaper
author Boerlage, AS
Ashby, Angela
Eze, JI
Gunn, GJ
Reeves, A
author_facet Boerlage, AS
Ashby, Angela
Eze, JI
Gunn, GJ
Reeves, A
author_sort Boerlage, AS
title Field evaluation of diagnostic sensitivity (DSe) and specificity (DSp) of common tests for amoebic gill disease (AGD) and complex gill disease (CGD) in cultured Atlantic salmon (Salmo salar) in Scotland using Bayesian latent class models
title_short Field evaluation of diagnostic sensitivity (DSe) and specificity (DSp) of common tests for amoebic gill disease (AGD) and complex gill disease (CGD) in cultured Atlantic salmon (Salmo salar) in Scotland using Bayesian latent class models
title_full Field evaluation of diagnostic sensitivity (DSe) and specificity (DSp) of common tests for amoebic gill disease (AGD) and complex gill disease (CGD) in cultured Atlantic salmon (Salmo salar) in Scotland using Bayesian latent class models
title_fullStr Field evaluation of diagnostic sensitivity (DSe) and specificity (DSp) of common tests for amoebic gill disease (AGD) and complex gill disease (CGD) in cultured Atlantic salmon (Salmo salar) in Scotland using Bayesian latent class models
title_full_unstemmed Field evaluation of diagnostic sensitivity (DSe) and specificity (DSp) of common tests for amoebic gill disease (AGD) and complex gill disease (CGD) in cultured Atlantic salmon (Salmo salar) in Scotland using Bayesian latent class models
title_sort field evaluation of diagnostic sensitivity (dse) and specificity (dsp) of common tests for amoebic gill disease (agd) and complex gill disease (cgd) in cultured atlantic salmon (salmo salar) in scotland using bayesian latent class models
publishDate 2022
url https://pure.sruc.ac.uk/en/publications/4155a6d2-6e95-405d-ae81-9a374b036336
https://doi.org/10.1016/j.prevetmed.2022.105654
https://pure.sruc.ac.uk/ws/files/46772553/1_s2.0_S0167587722000873_main.pdf
http://www.scopus.com/inward/record.url?scp=85131345130&partnerID=8YFLogxK
genre Atlantic salmon
Salmo salar
genre_facet Atlantic salmon
Salmo salar
op_source Boerlage , AS , Ashby , A , Eze , JI , Gunn , GJ & Reeves , A 2022 , ' Field evaluation of diagnostic sensitivity (DSe) and specificity (DSp) of common tests for amoebic gill disease (AGD) and complex gill disease (CGD) in cultured Atlantic salmon (Salmo salar) in Scotland using Bayesian latent class models ' , Preventive Veterinary Medicine , vol. 204 , 105654 . https://doi.org/10.1016/j.prevetmed.2022.105654
op_relation https://pure.sruc.ac.uk/en/publications/4155a6d2-6e95-405d-ae81-9a374b036336
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1016/j.prevetmed.2022.105654
container_title Preventive Veterinary Medicine
container_volume 204
container_start_page 105654
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