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PRRS Factors Related to
Time-to-Stability and Summer
Breaks
Juan Sanhueza, Carles Vilalta, Paulo Fioravante, Emily Geary, Andreia Arruda, Cesar Corzo
Outline
• Investigating PRRS summer
outbreaks
• The effect of PRRS outbreak season
on time-to-stability
PRRS summer outbreaks
• A number of MSHMP participants
concerned about summer outbreaks
• Was there a higher number of summer
outbreaks in 2017 than in previous
years?
• Where do summer outbreaks occur
geographically (or do not occur)?
Data description
• Use MSHMP database (2009-2017)
• 1509 PRRS outbreaks in ~9 years
Data description
• 196 (13%) PRRS
outbreaks occurred
during summer
• 309 (20.5%) PRRS
outbreaks occurred
during spring
Temporal description
~3.5% of sow farms had summer outbreaks each year
Temporal description
Summary (a)
• No obvious increase in the percentage of
summer outbreaks
• Overall 3.5% of farms had a PRRS
outbreak during summer
Geographical description
PRRS outbreaks 2009-2017
Summer outbreaks
(Cases)
Non-summer outbreaks
(Controls)
Summary (b)
• There are areas that have a
higher risk of PRRS
summer outbreaks
• Southern Minnesota –
Northern Iowa
Outline
• Investigating PRRS summer
outbreaks
• The effect of PRRS outbreak season
on time-to-stability
PRRS time-to-stability
• Anecdotal reports: harder to achieve
stability when the outbreak occurred during
summer
• Does time to stability differ according to the
season when the PRRS outbreak occurred?
PRRS time-to-stability
• Time from PRRS outbreak/intervention to
negative piglets at weaning (category II)
• PRRS status classification (Holtkamp et al. 2011)
– No clinical signs in breeding herd
– Minimum of 4 negative PCR tests in piglets at
weaning sampled every 30 days
Methods
• Data
–Data from 6 MSHMP participants
–March 2011 to March 2017
–Similar in the way the test and classify
PRRSv status and are guided by
Holtkamp et al., 2011 terminology
Methods
–Outcome:
• time from outbreak to reported stability
–Predictors: • Outbreak season
• RFLP
• Intervention
• Outbreak status
• Herd size
• System
• Outbreak year
• Filtered (yes/no)
• PED outbreak
• Previous outbreak
within a year
Methods
• Analysis
–Survival analysis to model PRRS
time-to-stability
–Cox proportional hazards model
–Farm id and System as random
effects to account for clustering in the
data
Results
• 161 PRRS outbreak events in 82 farms
• Median: 2 outbreaks per farm
PRRS time-to-stability
Kaplan-Meier curve
41 weeks
Time-to-stability by system
• Varied significantly across
systems
How different is time-to-
stability in the same farm?
Mean raw difference: 20 weeks
ICC: 1.2%
Season
Time-to-stability and PRRS season
• Winter: 36 weeks Autumn: 38 weeks
• Spring: 53 weeks Summer: 54 weeks
p=0.001
Variable Levels n HR (95% CI) p-value
Season Winter 44 2.18 (1.28 - 3.7) 0.004
Autumn 58 1.91 (1.16 - 3.13) 0.011
Spring 30 1.09 (0.62 - 1.91) 0.76
Summer 29 Reference
RFLP 1-18-2 19 2.71 (1.41 - 5.21) 0.003
1-26-2 28 1.94 (1.07 - 3.54) 0.03
1-3-4 6 2.59 (0.98 - 6.83) 0.055
1-4-3 6 1.46 (0.52 - 4.10) 0.47
1-4-4 31 2.34 (1.28 - 4.25) 0.006
1-8-4 5 1.44 (0.51 - 4.06) 0.49
Other 29 2.55 (1.41 - 4.64) 0.002
Unknown 11 4.14 (1.82 - 9.40) 0.001
1-7-4 26 Reference
Previous PRRS outbreak within a year Yes 18 2.18 (1.23 - 3.86) 0.008
No 143 Reference
Multivariable mixed Cox model results
Summary
• Farms that had outbreaks in summer
took significantly longer to achieve
stability than farms that had outbreaks
during Winter or Autumn
• 1-7-4 longer time-to-stability than other
specific RFLPs
Acknowledgements
MSHMP participants
…
p=0.001
Time-to-stability and Parity
• Is PRRSv maintained in the sow herds
by young parity litters?
• Nine herds enrolled ~18 weeks after
the PRRS outbreak
• Processing fluids collected weekly
– 15 parity 1
– 15 parity 2 PCR test
– 15 parity 3+
Dr. Juan Sanhueza - PRRS Factors Related to Time-to-Stability and Summer Breaks

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Dr. Juan Sanhueza - PRRS Factors Related to Time-to-Stability and Summer Breaks

  • 1. PRRS Factors Related to Time-to-Stability and Summer Breaks Juan Sanhueza, Carles Vilalta, Paulo Fioravante, Emily Geary, Andreia Arruda, Cesar Corzo
  • 2. Outline • Investigating PRRS summer outbreaks • The effect of PRRS outbreak season on time-to-stability
  • 3. PRRS summer outbreaks • A number of MSHMP participants concerned about summer outbreaks • Was there a higher number of summer outbreaks in 2017 than in previous years? • Where do summer outbreaks occur geographically (or do not occur)?
  • 4. Data description • Use MSHMP database (2009-2017) • 1509 PRRS outbreaks in ~9 years
  • 5. Data description • 196 (13%) PRRS outbreaks occurred during summer • 309 (20.5%) PRRS outbreaks occurred during spring
  • 6. Temporal description ~3.5% of sow farms had summer outbreaks each year
  • 8. Summary (a) • No obvious increase in the percentage of summer outbreaks • Overall 3.5% of farms had a PRRS outbreak during summer
  • 11.
  • 12. Summary (b) • There are areas that have a higher risk of PRRS summer outbreaks • Southern Minnesota – Northern Iowa
  • 13. Outline • Investigating PRRS summer outbreaks • The effect of PRRS outbreak season on time-to-stability
  • 14. PRRS time-to-stability • Anecdotal reports: harder to achieve stability when the outbreak occurred during summer • Does time to stability differ according to the season when the PRRS outbreak occurred?
  • 15. PRRS time-to-stability • Time from PRRS outbreak/intervention to negative piglets at weaning (category II) • PRRS status classification (Holtkamp et al. 2011) – No clinical signs in breeding herd – Minimum of 4 negative PCR tests in piglets at weaning sampled every 30 days
  • 16. Methods • Data –Data from 6 MSHMP participants –March 2011 to March 2017 –Similar in the way the test and classify PRRSv status and are guided by Holtkamp et al., 2011 terminology
  • 17. Methods –Outcome: • time from outbreak to reported stability –Predictors: • Outbreak season • RFLP • Intervention • Outbreak status • Herd size • System • Outbreak year • Filtered (yes/no) • PED outbreak • Previous outbreak within a year
  • 18. Methods • Analysis –Survival analysis to model PRRS time-to-stability –Cox proportional hazards model –Farm id and System as random effects to account for clustering in the data
  • 19. Results • 161 PRRS outbreak events in 82 farms • Median: 2 outbreaks per farm
  • 21. Time-to-stability by system • Varied significantly across systems
  • 22. How different is time-to- stability in the same farm? Mean raw difference: 20 weeks ICC: 1.2%
  • 24. Time-to-stability and PRRS season • Winter: 36 weeks Autumn: 38 weeks • Spring: 53 weeks Summer: 54 weeks p=0.001
  • 25. Variable Levels n HR (95% CI) p-value Season Winter 44 2.18 (1.28 - 3.7) 0.004 Autumn 58 1.91 (1.16 - 3.13) 0.011 Spring 30 1.09 (0.62 - 1.91) 0.76 Summer 29 Reference RFLP 1-18-2 19 2.71 (1.41 - 5.21) 0.003 1-26-2 28 1.94 (1.07 - 3.54) 0.03 1-3-4 6 2.59 (0.98 - 6.83) 0.055 1-4-3 6 1.46 (0.52 - 4.10) 0.47 1-4-4 31 2.34 (1.28 - 4.25) 0.006 1-8-4 5 1.44 (0.51 - 4.06) 0.49 Other 29 2.55 (1.41 - 4.64) 0.002 Unknown 11 4.14 (1.82 - 9.40) 0.001 1-7-4 26 Reference Previous PRRS outbreak within a year Yes 18 2.18 (1.23 - 3.86) 0.008 No 143 Reference Multivariable mixed Cox model results
  • 26. Summary • Farms that had outbreaks in summer took significantly longer to achieve stability than farms that had outbreaks during Winter or Autumn • 1-7-4 longer time-to-stability than other specific RFLPs
  • 28.
  • 30.
  • 31.
  • 32.
  • 33. Time-to-stability and Parity • Is PRRSv maintained in the sow herds by young parity litters? • Nine herds enrolled ~18 weeks after the PRRS outbreak • Processing fluids collected weekly – 15 parity 1 – 15 parity 2 PCR test – 15 parity 3+