PRRS Field Applicable Research Update - Dr. Daniel Linhares, Iowa State University,, from the 2017 North American PRRS/National Swine Improvement Federation Joint Meeting, December 1‐3, 2017, Chicago, Illinois, USA.
More presentations at http://www.swinecast.com/2017-north-american-prrs-nsif-joint-meeting
Dr. Daniel Linhares - PRRS Field Applicable Research Update
1. Monitoring and measuring
PRRS impact: ISU update
Cesar Moura, Giovani Trevisan, Gustavo Silva, Marcelo Almeida, Swami
Jarayaman, Will Lopez, Jeff Zimmerman, Derald Holtkamp, Daniel Linhares
BIVI Symposium @ North American PRRS Symposium. Chicago, 12/3/2017
2.
3. Agenda
PRRS detection in breeding herds
Processing fluids (great screening method)
Family oral fluids (assessing due to wean status)
Automated SPC (early signals / supplement Dx)
PRRS detection in growing pigs
How many ropes do I need?
Update on the cost of PRRS in the US
SHIC Rapid Response Corps
SHIC Swine disease reporting system (VDL data)
Pipeline @ ISU VDPAM
4. Detecting PRRS:
• MOSS (monitoring and surveillance system) protocols are not
perfect. Important concepts:
• Time to detect outbreak
• Limit of PRRS detection at population level
• False alarm rate
• Optimum MOSS:
• Fast, practical, affordable, effective
5. Swine industry increasingly using population-based
samples for disease monitoring
Individual pig sampling
Serum, blood swab, tonsil scraping
Population-based sampling
Oral fluids, processing fluids
More practical, cheaper,
↑ herd sensitivity
6. Few assumptions that the Industry has made
for disease monitoring
30 DTW sera, 3 consecutive months = poor sensitivity
60 DTW sera, 3 consecutive months = poor sensitivity
90 DTW sera, 3 consecutive months = poor sensitivity
Due-to-wean (DTW) pigs = breeding herd status
PRRSv dies out after 90 days < 10% prevalence in DTW
PRRSv is randomly distributed in the barn
How about individual sows shedding virus for longer time?
Field data: this does not always happen
PRRS is actually clustered, specially when at low prevalence
7. How to improve PRRS
monitoring (↑ pigs, ↑ frequent) in a
practical, affordable and
reliable way?
8. Processing fluids
“Aggregate sample of fluids composed by the
serosanguineous drainage from the tissues removed off
the piglets at the time of castration and tail docking.”
- Will A. Lopez
• Lopez et al., JSHAP 2018 [in press]
• Lopez et al., Proc 2017 James D. McKean Swine Disease Conference. Ames, IA. p 65.
• Lopez et al., Proc 2017 James D. McKean Swine Disease Conference. Ames, IA. p 69.
• Lopez et al., National Hog Farmer. Nov 06, 2017.
• Lopez et al., Pig 333 website. Dec, 2017
• Lopez et al., 2018 AASV meeting, Research Topics.
• Lopez et al. 2018 AASV meeting. Monitoring and Surveillance Systems workshop.
9. Processing fluids studies:
• Sensitivity of PRRS PCR in PF’s
• Comparison of PRRSv RNA detection rate in PF’s vs. serum
• Longitudinal sampling of farms undergoing PRRS elimination
BIG thanks to:
Drs. Jose Angulo, Eva Jablonski, NPB swine health committee
Drs. Clayton Johnson, Paul Yeske, Grant Allison, Tom Gillespie, Deb Murray,
Rebecca Robins, Ian Levis, Luc Dufresne, Jean Paul Cano
Drs. Jeff Zimmerman, Phil Gauger, Karen Harmon, JQ Zhang, Sarah Bade,
Nubia Macedo, Luis Gimenez-Lirola
10. PF: higher PRRSv detection rate, compared to sera
Lopez et al., 2017
Sampling set
Processing fluids
PRRS PCR results
Serum PRRS PCR
results
1 Positive 1/6
2 Positive 1/6
3 Positive 2/6
4 Positive 2/6
5 Positive 1/6
6 Positive 1/6
7 Positive Not detected
8 Positive Not detected
9 Positive 1/6
10 Positive 2/6
11. Lopez et al., 2017
PRRSv detection by
qPCR: higher in PF,
compared to
matched individual
blood
18% Serum tested positive
85% PF tested positive
19. Study design:
72 matching sets of FOF, & sera from all piglets in the litter
PRRSV RNA by rRT-PCR
Almeida et al., work in progress
20. ROOM 10
37
33 34 25 21 28 26
31 26 26 19 27
24
NO PIGLETS - NOT SAMPLED
PIGLETS MIXED WITH NEXT CRATE - NOT SAMPLED
PIGLETS MIXED WITH NEXT CRATE - NOT SAMPLED
FAIL TO COLLECT FOF
FAIL TO COLLECT FOFFAIL TO COLLECT FOF
EMPTY CRATE
ROOM 11
32 31 30 35 32 29
29 27 33 33
18 24 35 21 26
20 27 30 34
24
25 21 26 27 27
28 20 27 28
FAIL TO COLLECT FOF
ROOM 9
26 24 27 29 25 26 25
31 27 36 32 23 32 23 31
26
25 32 31
22 29 18
26 26 23
24 25
25 23 26 23
32 35 32 31 33 33
32 25 30 32 28
27 21 26 31 22 28 27
28 30 26 20 27 29 27
23 23 24 22 25
24 33 21
22 27 21 25 24 24 24 27 27
25 30 27 24 30 24 23 33
30 28 21 29 28
33 30 22 25
EMPTY CRATE
ONLY PIGLETS - NOT SAMPLED
FAIL TO COLLECT FOF
Piglet prevalence: 6.3%
Litter prevalence: 19.0%
FOF-positive litters = 9.5%
Piglet Prev: 57.3%
Litter Prev: 82.4%
FOF Pos = 82.4%
Piglet Prev: 19.0%
Litter Prev: 29.4%
FOF Pos = 17.6%
NOT randomly
distributed
NOT randomly
distributed
Results
Almeida et al., work in progress. Iowa State University.
Room A Room B Room C
21. FOF: high herd sensitivity to detect PRRSv in DTW
0
10
20
30
40
50
60
70
80
90
100
0 1 2 3 4 5 6 7 8 9 10 11 12
ProbabilitytodetectPRRSVinFOF
Number of PRRSv-positive pigs in the litter
Almeida et al., work in progress
Number of
viremic pigs in
the litter
Frequency of
FOF-positive
samples
0 0%
1 or 2 50%
3 or more 100%
22. # Viremic
piglets
Prevalence Individual samples FOF samples
4 1.0% 211 38
8 2.0% 124 21
20 5.0% 55 15
40 10.0% 28 12
How many FOF samples to detect PRRSv in a farrowing room?
Work in
progress…
23. Time
Herds undergoing PRRSv elimination:
1) negative @ birth; 2) remain negative @ weaning
PRRS @ weaning: + + + + + + + + - - - - -
+ + + - - - - - - - - - -PRRS @ birth:
We spread PRRSV to pigs/litters born negative (through
management practices)
BIG OPPORTUNITY WINDOW
“you can only manage what you measure”
24. Ongoing automated
production data screening for PRRS
detection
Cesar Moura, Swaminathan Jarayaman, Cory Farver,
Gustavo Silva, Mark Schwartz, Daniel Linhares
25. Applied SPC to detect herd level signs of PRRS
VDPAM
Silva, Schwartz, Morrison, Linhares, Preventive Veterinary Medicine 2017
26. Increased Not increased
Yes 10 (100%) 0 (0%)
No 7 (0.5%) 1,381 (99.5%)
Number of aborts
Outbreak
Increased Not increased
Yes 10 (100%) 0 (0%)
No 5 (0.4%) 1,353 (99.6%)
Pct preweaning mortality
Outbreak
Silva et al., 2017. Prev Vet Med.
Time to detect
PRRS: = “zero”
weeks
Results
Time to detect PRRS
(# weeks):
-4 -2 0 2 4
27. SPC project take homes
• Screening production data = supplement MOSS
• Weekly monitoring aborts and PWM: great herd sensitivity and
specificity relative to the Morrison’s Swine Health Monitoring
Project (MSHMP)
• Ongoing, automated SPC screening of breeding herds
28. Web-application for secure data
collection:
Farm-specific login/password
Data encryption
Uploaded directly to ISU server
User does not access the
database
Automated SPC, automated
notification
Ongoing SPC with automated notifications:
29.
30.
31. Monitoring and Surveillance Systems (MOSS):
take home messages
• MOSS 2.0 is based on population-based samples:
• More practical, easier, cheaper, better performance compared to
“conventional” (individual pig-based sampling)
• MOSS:
−Methods depend on The Question:
−PF: neonates
−FOF: due-to-wean
−SPC: early signs of disease
Mix n’ match
to answer your
question
32. How many oral fluid samples do I need to
detect PRRSv in growing-finishing pigs?
Rotolo, Zimmerman, et al. Vet. Microbiol. (2017):
33. Rotolo, Zimmerman, et al.:
Rope allocation in the barn
Frequency of sample collection
Sample size (per barn, per site)
34.
35. Rapid Response to Emerging Disease Program
Slides courtesy from Dr. Derald Holtkamp, the PI from this project
Objective:
Develop a Rapid Response Program for
epidemiological investigations of emerging,
transboundary and endemic swine diseases with
known etiology.
36. Standardized methodology for
epidemiological investigations
• Standard forms, and summary
reports
• Based on experiences from the PRRS
outbreak investigation pilot project
funded by the Iowa Pork Producers
• In the event of an emerging or
transboundary disease outbreak,
forms and reports will be adapted as
necessary
37. Investigation summary report
•RRC members will draft and
submit a final investigation
summary
•Subjective, qualitative assessment
of the likelihood that each event
was responsible for introduction
of pathogen
• Low
• Medium
• High
38. A regional approach
•RRC members (26 to date) have signed up to participate
• Quickly travel to where they are needed to conduct
investigations in a timely manner
• Need more members in regions 1, 2, 4, 6
41. To learn more about the Rapid Response Program, or to join the
RRC, visit the SHIC website (http://www.swinehealth.org/) or
contact:
Dr. Derald Holtkamp, Associate Professor
Iowa State University, College of Veterinary
Medicine
holtkamp@iastate.edu
42. Monitoring and updating the
value of productivity losses due
to PRRSV
Slides courtesy from Dr. Derald Holtkamp, Iowa State University
Funding:
43. Objective of this study
• Provide semi-annual updates of the cost of PRRSV in the US.
• Reporting five-year moving average
• October 2016 report: October 2011 to September 2016
44. Features of all studies
• Only the value of lost productivity was estimated
• Other costs not assessed
• Treatment costs, variation, other losses in genetic
herds and boar studs
Impact on supply of pork and
market hog prices was not assessed
45. The value of productivity losses due to PRRSV has declined since 2010
$560.32
$663.91
$638.13
$500
$520
$540
$560
$580
$600
$620
$640
$660
$680
2005 STUDY 2010 STUDY OCTOBER 2016 UPDATE
Holtkamp
et.al. 2013
Holtkamp
et.al. 2016
Neumann
et.al. 2005
47. To assess the why, factors contributing to the value of lost productivity
due to PRRSV were assessed independently
• Herd distribution
• Percentage of breeding females and growing pigs in PRRSV affected and PRRSV
unaffected herds
• Productivity
• Productivity of breeding herds and growing pigs in PRRSV affected relative to PRRSV
unaffected herds
• Prices and costs
• Pig prices, input prices and costs
• National herd inventory
• Size of the national herd
50. The impact of PRRSV has declined by $83 million
annually compared to the 2010 study
Progress,
62%
Remaining,
38%
GOAL by 2020: 20%
($133 million)
Adjusted for changes
in prices and the size
of the national herd
since 2010
51. All of the progress was due to reductions in
productivity losses in PRRSV affected herds,
relative to unaffected herds
• Improvement in the productivity of PRRSV
affected breeding herds relative to PRRSV
unaffected herds
• Especially in breeding herds that are PRRS virus
positive but have not had an outbreak for at least 12
months (BH-C)
• Why?
• Shift from LVI to vaccine
• Improvements in bio-management (sanitation, limiting cross fostering,
etc.)
52. Acknowledgements
• National Pork Board for funding
(Project # 15-212)
• Principal investigator: Dr. Derald Holtkamp
• Co-investigators
• Daniel Linhares, Gustavo de Sousa e Silva, Will Lopez, Iowa State University
• Collaborators
• Robert Morrison and Carles Vilalta, University of Minnesota
53. Development and implementation of a domestic swine bio-
surveillance monitoring and surveillance system. Part 1:
Establishing a swine disease reporting system in the USA
ISU: Trevisan, Linhares, Crim, Main, Linhares
UMN: Torrison, Perez, Vannucci, Thurn
Funding:
54. No.ofcases
Distribution of PCR prevalence by age group
= Gather, aggregate (confidentiality
preserved!), digest, report VDL data
What are people testing for?
What are they finding?
Over time?
Region (State level)?
Age group, specimen, …
Incorporate this info in MSHMP
55.
56.
57.
58.
59.
60. Acknowledgements
Collaborators
Drs. Derald Holtkamp, Jeff Zimmerman, Chris Rademacher, Luis Gimenez-Lirola, Leticia Linhares,
Rodger Main, Bret Crim, Poonam Dubey, Bob Morrison, Clayton Johnson, Carles Vilalta.
Graduate Students
Marcelo Almeida, Will Lopez, Gustavo Silva, Gaurav Rawal, Cesar Moura, Giovani Trevisan,
Joel Miranda, Daniel Torrents, Kim Baker, Swaminathan Jayaraman.
Veterinarians and Producers
~ 3 M sows in the US swine industry
Funding
National Pork Board, Swine Health Information Center, ISU VDPAM, AASV Foundation,
Phibro Animal Health, Zoetis, Boehringer Ingelheim Vetmedica, Laboratorios Hipra.
61. Daniel Linhares, DVM, MBA, PhD
Vet. Diagnostic and Production Animal Med
Iowa State University College of Vet Med.
http://field-prrs.blogspot.com/
Gustavo Silva
Will Lopez
Marcelo Almeida
Cesar Moura
Giovani Trevisan
Gaurav Rawal
Sam Baker
Daniel Torrents
“Evaluation of strategies to prevent, detect, or manage swine infectious diseases under field conditions”
Swami Jayaraman
> Identifying biosecurity aspects associated with outbreaks
> Assessing PRRS stability project
> Field studies on best PRRS management practices [breeding herds]
> Decision tree on PRRS vaccination in growing pigs
> Update of the estimated cost of PRRS in the US swine industry
> Field studies with MJ technology (PRRS typing and immunization)
> Impact of MLV on breeding herd productivity
> Economic benefit of eliminating Mycoplasma hyopneumoniae
> Real-time automated production records to detect outbreaks
> Ecology of type I PRRSv in Europe
> Predictors of growing pig performance
> Processing fluids for improved PRRS detection [newborn pigs]
> Family oral fluids for improved PRRS detection [due-to-wean pigs]
Thank you!
64. PRRSvprevalence
Time
Threshold of
virus detection
(e.g. 10%
prevalence with
30 random
samples)
A
B
C D
“Re-break”
Event favoring PRRSv transmission
(e.g. cross fostering, or introduction of susceptible gilts)
Scenarios for PRRSv prevalence over time:
65. PRRSvprevalence
Time
Threshold of
virus detection
(e.g. 10%
prevalence with
30 random
samples)
A
B
C D
“Re-break”
Event favoring PRRSv transmission
(e.g. cross fostering, or introduction of susceptible gilts)
Multiple
reports of herds
infected with
near-zero
PRRSv
prevalence
(Linhares et al., 2013,
Graham et al., 2013;
Kittawornrat et al 2014)
Scenarios for PRRSv prevalence over time:
66. Does increasing the sampling frequency
(e.g. from monthly to weekly) increase
probability to detect virus at a low
prevalence?
NO, the “detection limit bar” does not move!
The sampled population is different every week.
67. PRRSvprevalence
Time
Threshold of
virus detection
(e.g. 10%
prevalence with
30 random
samples)
A
B
C D
“Re-break”
Event favoring PRRSv transmission
(e.g. cross fostering, or introduction of susceptible gilts)
Multiple
reports of herds
infected with
near-zero
PRRSv
prevalence
(Linhares et al., 2013,
Graham et al., 2013;
Kittawornrat et al 2014)
Need to
improve our
monitoring
system:
more pigs,
more
frequently
Scenarios for PRRSv prevalence over time:
Lopez et al., Processing fluids for detection of PRRS activity in neonates. Proc 2017 James D. McKean Swine Disease Conference. Ames, IA. p 65.
Lopez et al.,. Processing fluids, blood serum, and tail blood swabs to detect PRRSV RNA and PCV2 DNA by PCR-based assays. Proc 2017 James D. McKean Swine Disease Conference. Ames, IA. p 69.
Lopez et al., Monitor herds for PRRS using processing-fluids samples. National Hog Farmer. Nov 06, 2017.
Lopez et al., PRRS virus detection at low prevalence in neonatal piglets using processing fluid samples and applications for monitoring. Pig 333 website.
Lopez et al., Processing fluids for PRRSV monitoring and surveillance systems. 2018 AASV meeting, Research Topics.
Lopez et al., Assessing PRRSV circulation at neonatal pig processing time. 2018 AASV meeting. Monitoring and Surveillance Systems workshop.
No false positives.
Each line is a possible scenario for PRRSv prevalence over time. Scenarios A and B represent PRRSv prevalence reaching zero shortly after prevalence reached the limit of detection (e.g. 10% prevalence when using 30 random samples). Scenarios C and D show that prevalence stays below the limit of detection for some additional time. On scenarios C and D the likelihood of “rebreak” with same PRRSv strain is higher than scenarios A and B.
Asked to update estimates based on readily available data which included data from the SHMP but not new production data. We have gone ahead and started to collect more recent production data to better assess how the impact of PRRSV is changing.
Estimating production losses due to PRRSV and then assigning a value to those losses by using the same budgeting model used in the 2010 study. Are not evaluating the macroeconomic impact eradicating PRRSV would have on the supply of pork, and market hog prices.
Reporting a five year average to smooth out some of the variation to assess the long-term trend.
To better evaluate the why and to adjust for the prices and the size of the national herd.
$ 26M (638)
$ 83M (664)
Assessed independently, 3 of the 4 factors increased the value of lost production due to PRRSV. Label value represents the change from the $664 million baseline for the 2010 study.
When all factors were considered, the value of lost productivity due to PRRSV declined by $26 million compared to the 2010
Sneak peak of the key result for the October 2016 update.
Reaching goal will require a $133 million reduction
Each line is a possible scenario for PRRSv prevalence over time. Scenarios A and B represent PRRSv prevalence reaching zero shortly after prevalence reached the limit of detection (e.g. 10% prevalence when using 30 random samples). Scenarios C and D show that prevalence stays below the limit of detection for some additional time. On scenarios C and D the likelihood of “rebreak” with same PRRSv strain is higher than scenarios A and B.
5 re-breaks shortly after achieving TTS, same virus based on ORF5: Data from our previous study on 61 herds undergoing PRRSv elimination using load-close-expose showed detection of PRRSv in 9 herds that reached category 2b. From those 9 “failures”, 5 cases had PRRSv ORF 5 sequence with greater than 99% similarity compared to the PRRSv detected shortly before implementation of the load-close-expose program (i.e. considered “the same old virus”), which supports the hypothesis that the PRRSv was not really “eliminated” from the herd. Instead, it was circulating at low prevalence level, undetected by the used monitoring scheme.
3 out of 454 serum samples PCR positive for PRRSv (due to wean piglets at a 1,100 sow farm: We investigated a commercial 1,100 sows breed-to-wean herd undergoing PRRSv elimination, sampling pre-weaning piglets to monitor for PRRSv shedding. It was collected blood samples from all due to wean piglets (n=454) of all crates (n=24) of 2 farrowing rooms. Additionally, oral fluids were obtained from most crates. When tested by PRRSv RT-PCR at the ISU VDL, only 3 out of 454 (0.7%) serum samples were positive. Piglets whose blood samples tested positive were located in two crates (2 in one crate and 1 in another crate). Oral fluids from both crates also tested positive by PRRSv RT-PCR (9). Results from that study demonstrated the ability of PRRSv to circulate in the preweaning population at near-zero prevalence.
Similarly, at a different study Kittawornrat et al surveilling PRRSv infection in 4 breeding herds of 12,500 sows each collected serum samples from dams (n=600) and oral fluids their respective due-to-wean litters. All sow serum samples tested negative by RT-PCR. However, 9 piglet oral fluids (1.5%) tested RT-PCR positive at two VDLs (10), illustrating capabilities of PRRSv to circulate at near zero prevalence in the farrowing house environment.
5 re-breaks shortly after achieving TTS, same virus based on ORF5: Data from our previous study on 61 herds undergoing PRRSv elimination using load-close-expose showed detection of PRRSv in 9 herds that reached category 2b. From those 9 “failures”, 5 cases had PRRSv ORF 5 sequence with greater than 99% similarity compared to the PRRSv detected shortly before implementation of the load-close-expose program (i.e. considered “the same old virus”), which supports the hypothesis that the PRRSv was not really “eliminated” from the herd. Instead, it was circulating at low prevalence level, undetected by the used monitoring scheme.
3 out of 454 serum samples PCR positive for PRRSv (due to wean piglets at a 1,100 sow farm: We investigated a commercial 1,100 sows breed-to-wean herd undergoing PRRSv elimination, sampling pre-weaning piglets to monitor for PRRSv shedding. It was collected blood samples from all due to wean piglets (n=454) of all crates (n=24) of 2 farrowing rooms. Additionally, oral fluids were obtained from most crates. When tested by PRRSv RT-PCR at the ISU VDL, only 3 out of 454 (0.7%) serum samples were positive. Piglets whose blood samples tested positive were located in two crates (2 in one crate and 1 in another crate). Oral fluids from both crates also tested positive by PRRSv RT-PCR (9). Results from that study demonstrated the ability of PRRSv to circulate in the preweaning population at near-zero prevalence.
Similarly, at a different study Kittawornrat et al surveilling PRRSv infection in 4 breeding herds of 12,500 sows each collected serum samples from dams (n=600) and oral fluids their respective due-to-wean litters. All sow serum samples tested negative by RT-PCR. However, 9 piglet oral fluids (1.5%) tested RT-PCR positive at two VDLs (10), illustrating capabilities of PRRSv to circulate at near zero prevalence in the farrowing house environment.