Associations between biosecurity, herd characteristics ...Internal biosecurity 7.5 1 Increased...
Transcript of Associations between biosecurity, herd characteristics ...Internal biosecurity 7.5 1 Increased...
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Associations between biosecurity, herd characteristics, production parameters
and antimicrobial usage in pig production in four EU countries
Jeroen [email protected]
14/06/2017 1MINAPIG consortium – www.minapig.eu
Merel Postma, Annette Backhans, Lucie Collineau, Svenja Lösken, Marie Sjölund, Catherine Belloc, Ulf Emanuelson, Elisabeth Grosse Beilage, Elisabeth Okholm Nielsen and Katharina D.C. Stärk
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Linking antimicrobial use to antimicrobial resistance in 7 EU countries based on surveillance data
y = -0,0002x2 + 0,0255x - 0,0707R² = 0,93
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(a) Aminopenicillins (ampicillin)
y = 0,6887x2 - 0,1812x + 0,0135R² = 0,94
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(b) Third generation Cephalosporins (cefotaxime)
y = 1,1278x2 - 0,2875x + 0,0221R² = 0,99
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(c) Fluoroquinolons (ciprofloxacin)
y = 0,1313x2 + 0,1234x - 0,0112R² = 0,99
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(d) Amphenicols (chloramphenicol)
y = -0,0021x2 + 0,0241x - 0,0188R² = 0,80
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(e) Aminoglycosids (gentamicin)
y = -0,0149x2 + 0,1752x + 0,0057R² = 0,81
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(f) Aminoglycosids (streptomycin)
Chantziaras et al., 2014
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Linking antimicrobial use to antimicrobial resistance in 7 EU countries based on surveillance data
Chantziaras et al., 2014
Austria
Denmark
Netherlands
Belgium
Switzerland
SwedenNorway
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Average antimicrobial use ranking
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Of the 120 experts that responded, 111 rankings were used for further analysis (Belgium n = 24, Denmark n = 30, France n = 8, Germany n = 17, Sweden n = 23, Switzerland n = 9)
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Perceived alternatives (Vets) Average of effectiveness,
feasibility, ROI
Mean Ranking
Internal biosecurity 7.5 1
Increased vaccination 7.2 2
Zinc/metals 7.2 3
Feed quality/optimisation 7.2 4
Diagnostics/action plan 7.0 5
External biosecurity 7.0 6
Climate/environmental 7.0 7
Communication/unified advice 6.6 8
Water quality 6.5 9
Age and transfer management 6.5 10
Postma et al., 2015
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Aim
• Study the relationship between
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Antimicrobial use
BiosecurityManagement / production
Herd CharactheristicsCountry
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Study design
• Multi country:– Belgium = 47– France = 60– Germany = 60– Sweden = 60
• All herds ≥ 100 sows, 500 finishers• Intention for representativeness / depending on
willingness to cooperate• Study performed between Dec. 2012 – Dec. 2013
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Study design
• All herds visited by researcher or trained veterinarian
• Dedicated herd visit with datacollection on– General health and production characteristics
(preceding year)
– Herd characteristics
– Biosecurity
– Antimicrobial usage (preceding year)
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Study design
• General health and production characteristics– Weaned piglets per sow per year (WSY) – Mortalities– ADG– Feed conversion rate (FCR)
• Herd characteristics– Age / experience farmer – Gender– Farrowing rhythm– Weaning age– ….
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Study design
• Biosecurity
– Assessed by means of validated risk-based biosecurity scoring system: Biocheck.ugent
– 109 questions
– Provides a score for internal and external biosecurity
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Results: Biosecurity status
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Green = Internal biosecurityBlue = External biosecurity
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Results: Biosecurity status
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Study design
• Antimicrobial use
𝑇𝐼
=Total amount of antimicrobials administered (mg)
DDDA (mg/kg) x number of days at risk x kg animal at risk𝑥 1000 𝑝𝑖𝑔𝑠 𝑎𝑡 𝑟𝑖𝑠𝑘
– TI calculated per age category and for entire production period (200 days)
– TI200 = 150: meaning that over the full production length a pig is treated for 15 % (=150/1000) of its lifetime
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Results: AMU
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a a b c
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Results: AMU
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a a b a
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Results: AMU
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Country
Antimicrobial class Belgium France Germany Sweden
Aminoglycosides 0.0% 7.9% 1.2% 0.2%
Aminopenicillins 37.7%1 15.7%3 35.7%1 6.2%4
Amphenicols 0.1% 0.5% ˂0.0% 0*
Benzylpenicillin 0.4% 0* 1.0% 61.2%1
Benzylpenicillin in combination
˂0.0% 2.1% 4.6% 0.9%
3rd & 4th generation Cefalosporins 10.8%4 1.2% 1.8% 0*
Fluoroquinolones 5.3% 0.4% 1.3% 1.3%
Macrolides 14.7%3 12.6%4 18.1%2 9.0%3
Macrolides in combination
1.6% 2.9% 0.5% 0*
Polymixins 17.5%2 30.1%1 13.6%4 4.3%
Sulfonamides and trimethoprim
5.1% 8.0% 3.4% 13.1%2
Tetracyclines 6.8% 18.2%2 17.3%3 2.9%
Tiamulin 0.1% 0.5% 1.3% 1.0%
Valnemulin 0* 0* 0.1% 0*
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Results: AMU
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Results: Associations
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Results: Top farmers
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Results: Top farmers
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– On average higher internal biosecurity status.
– Located in a more favorable environment (lower pig density and limited contact with wildlife).
– Treated less frequently against respiratory clinical symptoms in weaners and finishers.
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Substantial reduction antimicrobial usage without
jeopardizing production by coaching?
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61 Flemish herds
3 Herd visits
Intervention & follow up
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Coaching
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% ADVISED % FEASIBLE % IMPLEMENTED
Registration symptoms & moment mortality for analysis 95 98 66
Hand hygiene, change coverall and clean boots 86 88 59
Change needles often 85 82 62
Hygiene lock per animal/age category 76 58 7
Use strict euthanasia policy 71 90 81
Wash sow before farrowing crate 68 45 20
Analysis drink water 1x/year well/pipes 68 98 80
Keep dog/cat out of the stable 49 34 21
AI / AO, do not return to younger age group 41 54 33
Use dirty road for transport of manure 20 100 75
Change wooden boards for plastic boards 10 67 83
Biosecurity & Management
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% ADVISED % FEASIBLE % IMPLEMENTED
Request slaughter findings for analysis 75 59 57
Additional vaccinations in general 51 94 81
Additional specific vaccinations: PCV2 16 100 62
Check serology titres in general 33 95 90
Adjustment of vaccination scheme: Atrofic rhinitis 8 100 80
Diagnostics & vaccination
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% ADVISED % FEASIBLE % IMPLEMENTED
Restrictive use of potent AM 92 72 45
Stop (routine) prophylactic treatment birth until slaughter 88 69 59
Stop prophylactic treatment in sows 24 90 83
Ask for resistance profile/sensitivity testing 7 79 0
Prudent antimicrobial usage
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Herd specific advice
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Average TI DDDA routine visit 1
Average TI DDDA curative visit 1
Average TI DDDA routine visit 3
Average TI DDDA curative visit 3
- 45.8%
- 81.6%
- 52.0%
- 31.7%
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VISIT MEAN DIFFERENCE P-VALUE
Number of weaned piglets per sow per year
Initial 26.4
+1,1 <0.01Follow
up27.5
Daily weight gain (g/day) finishers
Initial 667.5
+7,7 0.01Follow
up675.2
Mortality in finisher period (%)
Initial 3.2
-0,6 0.04Follow
up2.6
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Production parameters
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Net benefit
€ 42,99 per sow/year
€ 2,67 per finisher/year
(Rojo-Gimeno C. and Postma M. et al., 2016) 31
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Coaching of farmers & team work
52% Reduction AMU possible
Important reduction critically important antimicrobials
Improved technical results & economically beneficial
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Prospective intervention study to explore measures to reduce antimicrobial usage in
pig production
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• Multi country: Belgium; France; Germany; Sweden
• Interventions
• Improved internal / external biosecuirty
• Vaccination
• Changes water / feed schemes
• Herd manangement
Intervention study
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Intervention study
-35.2%
Across the 4 countries
Median TI200d before: 247.3
Median TI200d after: 160.2
P < 0.001 ***
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• Herds with high usage can reduce more
• No single intervention can be recommended forall herds
Intervention study
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Supervising:
Prof. Dr. Katharina Stärk
Prof. Dr. Elisabeth grosse Beilage
Dr. Catherine Belloc
Prof. Dr. Jeroen Dewulf
Prof. Dr. Ulf Emanuelson
Prof. Dr. Christian A. Körk
Executing:
Annette Backhans, DVM, PhD
Lucie Collineau, DVM, MSc
Svenja Lösken, DVM
Elisabeth O. Nielsen, DVM, PhD
Merel Postma, DVM
Marie Sjölund, DVM, PhD
Vivianne Visschers, MSc, PhD
Supporting:
Prof. Dr. Ann Lindberg
Hugo Seemer, DVM, PhD
Petra Maas, DVM, PhD
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The MINAPIG consortium
MINAPIG consortium – www.minapig.eu