Precision evaluation of different flotation solutions in the results of four coprological techniques in ungulates : impact on detecting anthelmintic resistance
Notice bibliographique
Résumé
Anthelmintic resistance (AHR) in gastrointestinal parasites of ruminants and horses has been continuously described all over the world in the last two decades. In order to delay, or even prevent, the further development of resistance to anthelmintics, a new deworming approach must be taken, considering the diagnostic tools available nowadays. This study aims to evidence the differential performances of four commonly employed coprological methods, using different flotation solutions, and make some practical recommendations on which technique seems better-suited to face this emerging problem in horse management. This thesis contains two parts. In the first one, three wild ungulate species were analyzed at ARTIS Amsterdam Royal Zoo to determine the repeatability of four common coprological methods – simple flotation (SF), centrifugal flotation (CF), McMaster (McM - sensitivity of 50 eggs per gram EPG) and Mini-FLOTAC (MF – sensitivity of 5 EPG) – in association with three flotation solutions with different specific gravities: salt (SG=1.20), magnesium sulphate (MgSO4) (SG=1.24) and sugar solution (SG=1.28); where each sample was analyzed 10 times. In the second part 17 fecal samples of Sorraia horses were collected in April 2019 (12 females on the pasture and five stabled males) and analyzed with the same methods but only with the salt and sugar solutions; each sample was analyzed in triplicates for SF and CF and in duplicates for McM and MF. As a semi-quantitative parameter, the number of eggs were counted in 10 fields of each slide and the mean was obtained for each replicate. In the first part of the study, CF was able to evidence a higher amount of total egg counts, especially with the denser solutions, with lower coefficients of variation (CV). MF performed with very good precision across the species, with different solutions apparently better for each one of them. In the second part of the study, SFsalt obtained the best results for detecting Triodontophorus spp. eggs, although not significantly (p>0.05). Yet, it showed lower CV than CF techniques, which makes it a more precise and reliable technique. High parasitic burdens (mean of 1825 EPG for all techniques) were registered and MFsugar performed more consistently as seen by its low variability. Through coprocultures, the prevalence of Cyathostomum s.l. type D (100%) and S. vulgaris (5.9%) were also detected. The results obtained here support the use of CF and MF methods in zoos as valid diagnostic tools. In general, MF was shown to be more precise and reliable across the study, urging the need to review current guidelines for the diagnosis of AHR, namely in horses. Unexpectedly, a clear association was evidenced, as salt solutions seem to be better suited for qualitative methods, whereas the sugar solutions better suited for quantitative ones instead.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».