See the published version of this article at Porcine Health Management.
This is a preprint. Preprints are preliminary reports that have not undergone peer review. They should not be considered conclusive, used to inform clinical practice, or referenced by the media as validated information.
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Herd-level risk factors for chronic pleurisy in finishing pigs: a case-control study
Outi Hälli
Corresponding Author
ORCiD: https://orcid.org/0000-0002-0134-7888
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This work is licensed under a CC BY 4.0 License. Read Full License
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View the published version at Porcine Health Management.
Background Chronic pleurisy is a common finding in slaughtered pigs in post-mortem meat inspection. The prevalence of pleurisy has been increasing during the last decade also in Finland. The aim of this prospective case-control study was to search for environmental, infectious and management-related herd-level risk factors for pleurisy in the slaughterhouse. Altogether 46 Finnish pig herds, including 25 control (low pleurisy prevalence in meat inspection) and 21 case (high pleurisy) herds, were enrolled in the study and visited during the tenth week of the rearing period of finishing pigs. Herd personnel were asked about basic herd information, management and environmental factors. Selected pigs were examined clinically, environmental parameters were measured and 15 blood samples per herd were taken during herd visits. Antibodies against Actinobacillus pleuropneumonia serotype 2 (APP2) and ApxIV toxin and swine influenza virus were measured. After the slaughter of study pigs, meat inspection results of the batch were gathered from slaughterhouses. Multivariate logistic regression model was built to identify possible risk factors for a herd to be a case herd (i.e. having high pleurisy values).
Results Finishing herd type and herd size were observed to act as risk factors. None of clinical signs of pigs, management-related factors or environmental measurements were associated with herd status.
Conclusions As previously known, in endemic and subclinical infections such as APP, herd factors are important, but detailed risk factors seem to be difficult to identify.
Keywords
Pleurisy, Actinobacillus pleuropneumoniae, swine influenza virus, herd type, meat inspection, respiratory disease complex
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CURRENT STATUS: Published
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Posted 05 Jun, 2020
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On 02 Sep, 2020
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On 01 Jun, 2020
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On 01 Jun, 2020
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Received 01 Jun, 2020
Editorial decision: Accept
On 01 Jun, 2020
Submission checks complete
On 31 May, 2020
Editor invited
On 31 May, 2020
No comments provided
Review #2 received
Received 01 May, 2020
Editorial decision: Major revision
On 01 May, 2020
Review #1 received
Received 20 Apr, 2020
Reviewer #2 agreed
On 14 Apr, 2020
Editor assigned
On 13 Apr, 2020
Reviewers invited
Invitations sent on 13 Apr, 2020
Reviewer #1 agreed
On 13 Apr, 2020
Editor invited
On 12 Apr, 2020
Submission checks complete
On 08 Apr, 2020
First submitted
On 07 Apr, 2020
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Subject Areas
Animal Science
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This preprint is under consideration at Porcine Health Management. Preprints are preliminary reports that have not undergone peer review. They should not be considered conclusive, used to inform clinical practice, or referenced by the media as validated information.
Learn more about In Review
Research
Herd-level risk factors for chronic pleurisy in finishing pigs: a case-control study
Outi Hälli
Corresponding Author
ORCiD: https://orcid.org/0000-0002-0134-7888
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
Version 2
Posted 05 Jun, 2020
Published
On 02 Sep, 2020
No community comments so far
Editor assigned
On 01 Jun, 2020
Reviewers invited
Invitations sent on 01 Jun, 2020
Reviewer #1 agreed
On 01 Jun, 2020
Review #1 received
Received 01 Jun, 2020
Editorial decision: Accept
On 01 Jun, 2020
Submission checks complete
On 31 May, 2020
Editor invited
On 31 May, 2020
No comments provided
Review #2 received
Received 01 May, 2020
Editorial decision: Major revision
On 01 May, 2020
Review #1 received
Received 20 Apr, 2020
Reviewer #2 agreed
On 14 Apr, 2020
Editor assigned
On 13 Apr, 2020
Reviewers invited
Invitations sent on 13 Apr, 2020
Reviewer #1 agreed
On 13 Apr, 2020
Editor invited
On 12 Apr, 2020
Submission checks complete
On 08 Apr, 2020
First submitted
On 07 Apr, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Animal Science
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Declarations:
View the published version at Porcine Health Management.
Background Chronic pleurisy is a common finding in slaughtered pigs in post-mortem meat inspection. The prevalence of pleurisy has been increasing during the last decade also in Finland. The aim of this prospective case-control study was to search for environmental, infectious and management-related herd-level risk factors for pleurisy in the slaughterhouse. Altogether 46 Finnish pig herds, including 25 control (low pleurisy prevalence in meat inspection) and 21 case (high pleurisy) herds, were enrolled in the study and visited during the tenth week of the rearing period of finishing pigs. Herd personnel were asked about basic herd information, management and environmental factors. Selected pigs were examined clinically, environmental parameters were measured and 15 blood samples per herd were taken during herd visits. Antibodies against Actinobacillus pleuropneumonia serotype 2 (APP2) and ApxIV toxin and swine influenza virus were measured. After the slaughter of study pigs, meat inspection results of the batch were gathered from slaughterhouses. Multivariate logistic regression model was built to identify possible risk factors for a herd to be a case herd (i.e. having high pleurisy values).
Results Finishing herd type and herd size were observed to act as risk factors. None of clinical signs of pigs, management-related factors or environmental measurements were associated with herd status.
Conclusions As previously known, in endemic and subclinical infections such as APP, herd factors are important, but detailed risk factors seem to be difficult to identify.
Figure 1