title: Methods to determine resistance to anthelmintics when continuing larval development occurs.
abstract: The in vivo faecal egg count reduction test (FECRT) is the most commonly used test to detect anthelmintic resistance (AR) in gastrointestinal nematodes (GIN) of ruminants in pasture based systems. However, there are several variations on the method, some more appropriate than others in specific circumstances. While in some cases labour and time can be saved by just collecting post-drench faecal worm egg counts (FEC) of treatment groups with controls, or pre- and post-drench FEC of a treatment group with no controls, there are circumstances when pre- and post-drench FEC of an untreated control group as well as from the treatment groups are necessary. Computer simulation techniques were used to determine the most appropriate of several methods for calculating AR when there is continuing larval development during the testing period, as often occurs when anthelmintic treatments against genera of GIN with high biotic potential or high re-infection rates, such as Haemonchus contortus of sheep and Cooperia punctata of cattle, are less than 100% efficacious. Three field FECRT experimental designs were investigated: (I) post-drench FEC of treatment and controls groups, (II) pre- and post-drench FEC of a treatment group only and (III) pre- and post-drench FEC of treatment and control groups. To investigate the performance of methods of indicating AR for each of these designs, simulated animal FEC were generated from negative binominal distributions with subsequent sampling from the binomial distributions to account for drench effect, with varying parameters for worm burden, larval development and drench resistance. Calculations of percent reductions and confidence limits were based on those of the Standing Committee for Agriculture (SCA) guidelines. For the two field methods with pre-drench FEC, confidence limits were also determined from cumulative inverse Beta distributions of FEC, for eggs per gram (epg) and the number of eggs counted at detection levels of 50 and 25. Two rules for determining AR: (1) %reduction (%R)<95% and lower confidence limit <90%; and (2) upper confidence limit <95%, were also assessed. For each combination of worm burden, larval development and drench resistance parameters, 1000 simulations were run to determine the number of times the theoretical percent reduction fell within the estimated confidence limits and the number of times resistance would have been declared. When continuing larval development occurs during the testing period of the FECRT, the simulations showed AR should be calculated from pre- and post-drench worm egg counts of an untreated control group as well as from the treatment group. If the widely used resistance rule 1 is used to assess resistance, rule 2 should also be applied, especially when %R is in the range 90 to 95% and resistance is suspected.
authors: AgriScience Queensland, 41 Boggo Road, Dutton Park, QLD 4102, Australia. Electronic address: Maxine.Lyndal-Murphy@daff.qld.gov.au.
authors: M
authors: M
authors: Lyndal-Murphy
authors: Formerly AgriScience Queensland, 41 Boggo Road, Dutton Park, QLD 4102, Australia.
authors: A J
authors: AJ
authors: Swain
authors: Formerly AgriScience Queensland, 41 Boggo Road, Dutton Park, QLD 4102, Australia.
authors: P M
authors: PM
authors: Pepper
mesh_terms: D000818:Animals; D000871:Anthelmintics / Q000494:pharmacology*; D002417:Cattle; D002418:Cattle Diseases / Q000469:parasitology*; D003198:Computer Simulation; D004351:Drug Resistance; D005243:Feces / Q000469:parasitology; D007814:Larva; D009348:Nematoda / Q000187:drug effects*; D009349:Nematode Infections / Q000469:parasitology / Q000662:veterinary*; D010270:Parasite Egg Count; D011793:Queensland; D012756:Sheep; D012757:Sheep Diseases / Q000469:parasitology*
chemical_list: D000871:Anthelmintics
keywords: Anthelmintic resistance; Confidence intervals; Inverse Beta distribution; Ruminants; Simulation