Literature DB >> 20850927

Analysis of multiyear studies in horses in Kentucky to ascertain whether counts of eggs and larvae per gram of feces are reliable indicators of numbers of strongyles and ascarids present.

M K Nielsen1, K E Baptiste, S C Tolliver, S S Collins, E T Lyons.   

Abstract

Increasing levels of anthelmintic resistance in equine nematodes have led to recommendations of more sustainable anthelmintic treatment protocols with emphasis on parasite surveillance and diagnosis, rather than prophylactic calendar-based treatments. This requires knowledge of the diagnostic test performance of techniques for counts of eggs per gram of feces (EPG) as well as methods for culturing, counting and identifying third stage (L(3)) strongyle larvae per gram of feces (LPG). For horses, such information does not exist in the published literature. The aim of this study was to examine the relationship between worm count and fecal egg count (FEC) data for strongyle and Parascaris equorum infections as well as larval culture counts for diagnosing Strongylus spp. infections. Necropsy data from 693 horses used for critical or controlled tests, including information on total worm counts, fecal egg counts (FEC) and larval culture results collected at the University of Kentucky over a period of 50 years were analyzed. Sensitivity, specificity, positive and negative predictive values, and receiver operator characteristic (ROC) curves were generated for the larval cultures and ascarid egg counts. For the strongyle egg counts, potential FEC cutoff values for treatment were evaluated statistically by comparing the total strongyle worm counts below and above chosen cutoff values. All tests had high positive predictive values (>0.95), but moderate negative predictive values (<0.70). The negative predictive values of the larval counts were negatively affected by increasing egg count levels. Strongyle FEC cutoff values up to the level of 500 EPG yielded significantly higher strongyle worm counts in the treatment group, whereas no differences were found at higher cutoffs. This supports usage of cutoffs for treatment in the 0-500 EPG range. Altogether, the present study yields unique and useful information of widely used methods for parasite surveillance and diagnosis in equine establishments.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20850927     DOI: 10.1016/j.vetpar.2010.08.007

Source DB:  PubMed          Journal:  Vet Parasitol        ISSN: 0304-4017            Impact factor:   2.738


  27 in total

1.  Investigation of strongyle EPG values in horse mares relative to known age, number positive, and level of egg shedding in field studies on 26 farms in Central Kentucky (2010-2011).

Authors:  E T Lyons; S C Tolliver; T A Kuzmina
Journal:  Parasitol Res       Date:  2011-12-14       Impact factor: 2.289

2.  The importance of anthelmintic efficacy monitoring: results of an outreach effort.

Authors:  Jennifer L Cain; Donna Foulk; Edward Jedrzejewski; Heather Stofanak; Martin K Nielsen
Journal:  Parasitol Res       Date:  2019-08-17       Impact factor: 2.289

3.  Characteristics of parasitic egg shedding over a 1-year period in foals and their dams in 2 farms in central Saskatchewan.

Authors:  Elzbieta Misuno; Chris R Clark; Stacy L Anderson; Emily Jenkins; Brent Wagner; Katarzyna Dembek; Lyall Petrie
Journal:  Can Vet J       Date:  2018-03       Impact factor: 1.008

4.  Investigating associations between nematode infection and three measures of sociality in Asian elephants.

Authors:  Carly L Lynsdale; Martin W Seltmann; Nay Oo Mon; Htoo Htoo Aung; UKyaw Nyein; Win Htut; Mirkka Lahdenperä; Virpi Lummaa
Journal:  Behav Ecol Sociobiol       Date:  2022-06-24       Impact factor: 2.944

5.  Fecundity of various species of strongylids (Nematoda: Strongylidae)--parasites of domestic horses.

Authors:  T A Kuzmina; E T Lyons; S C Tolliver; I I Dzeverin; V A Kharchenko
Journal:  Parasitol Res       Date:  2012-08-19       Impact factor: 2.289

6.  Comparison of helminth and hard tick infestation between riding and work horses in Ahwaz, Iran.

Authors:  Mohammad Khosravi; Fariba Kavosh; Ahmad Taghavi-Moghadam; Shamsodin Ghaem-Maghami; Khodadad Pirali-Kheirabadi; Peyman Rahimi-Feyli; Shahrokh Navid-Pour; Arash Amin-Pour; Fateme Arbabi
Journal:  Comp Clin Path       Date:  2011-07-21

7.  Determination of Baylisascaris schroederi infection in wild giant pandas by an accurate and sensitive PCR/CE-SSCP method.

Authors:  Wenping Zhang; Shangmian Yie; Bisong Yue; Jielong Zhou; Renxiong An; Jiangdong Yang; Wangli Chen; Chengdong Wang; Liang Zhang; Fujun Shen; Guangyou Yang; Rong Hou; Zhihe Zhang
Journal:  PLoS One       Date:  2012-07-27       Impact factor: 3.240

8.  Genetic variants and increased expression of Parascaris equorum P-glycoprotein-11 in populations with decreased ivermectin susceptibility.

Authors:  I Jana I Janssen; Jürgen Krücken; Janina Demeler; Marta Basiaga; Sławomir Kornaś; Georg von Samson-Himmelstjerna
Journal:  PLoS One       Date:  2013-04-24       Impact factor: 3.240

9.  SvSXP: a Strongylus vulgaris antigen with potential for prepatent diagnosis.

Authors:  Ulla V Andersen; Daniel K Howe; Sriveny Dangoudoubiyam; Nils Toft; Craig R Reinemeyer; Eugene T Lyons; Susanne N Olsen; Jesper Monrad; Peter Nejsum; Martin K Nielsen
Journal:  Parasit Vectors       Date:  2013-04-04       Impact factor: 3.876

10.  Integrative biology defines novel biomarkers of resistance to strongylid infection in horses.

Authors:  Guillaume Sallé; Cécile Canlet; Jacques Cortet; Christine Koch; Joshua Malsa; Fabrice Reigner; Mickaël Riou; Noémie Perrot; Alexandra Blanchard; Núria Mach
Journal:  Sci Rep       Date:  2021-07-12       Impact factor: 4.379

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