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Sonalio K, Boyen F, Devriendt B, Chantziaras I, Beuckelaere L, Biebaut E, Haesebrouck F, Santamarta I, de Oliveira LG, Maes D. Rationalizing the use of common parameters and technological tools to follow up Mycoplasma hyopneumoniae infections in pigs. Porcine Health Manag 2024; 10:31. [PMID: 39180129 PMCID: PMC11342468 DOI: 10.1186/s40813-024-00381-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 08/05/2024] [Indexed: 08/26/2024] Open
Abstract
BACKGROUND Mycoplasma (M.) hyopneumoniae is associated with respiratory disease in pigs and is the primary agent of enzootic pneumonia. Quantification of M. hyopneumoniae-related outcome parameters can be difficult, expensive, and time-consuming, in both research and field settings. In addition to well-established methods, technological tools are becoming available to monitor various aspects of relevant animal- and environment-related features, often in real-time. Therefore, this study aimed to assess whether certain parameters, such as animal movement and body temperature using microchips (IMT), correlate with established parameters and whether the currently used parameters can be rationalized. RESULTS The percentage of movement was significantly reduced by M. hyopneumoniae infection in pigs (p < 0.05), where the M. hyopneumoniae-infected group showed a lower percentage of movement (1.9%) when compared to the negative control group (6.9%). On the other hand, macroscopic (MLCL) and microscopic (MLL) lung lesions, respiratory disease score (RDS), M. hyopneumoniae-DNA load, and anti-M. hyopneumoniae antibody levels increased significantly in the M. hyopneumoniae-infected group 28 days post-inoculation (p < 0.05). Moderate (r > 0.30) to very strong correlations (> 0.80) were observed between the abovementioned parameters (p < 0.05), except for IMT. A significant and moderate correlation was reported between IMT and rectal temperature (r = 0.49; p < 0.05). Last, the average daily weight gain and the percentage of air in the lung were not affected by M. hyopneumoniae infection (p > 0.05). CONCLUSIONS M. hyopneumoniae infection significantly reduced the movement of piglets and increased lung lesions, M. hyopneumoniae-DNA load, and anti-M. hyopneumoniae antibody levels; and, good correlations were observed between most parameters, indicating a direct relationship between them. Thus, we suggest that changes in movement might be a reliable indicator of M. hyopneumoniae infection in pigs, and that a selected group of parameters-specifically RDS, MLCL, MLL, M. hyopneumoniae-DNA load, anti-M. hyopneumoniae antibody levels, and movement-are optimal to assess M. hyopneumoniae infection under experimental conditions.
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Affiliation(s)
- Karina Sonalio
- Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
- Department of Veterinary Clinic and Surgery, School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, Brazil.
| | - Filip Boyen
- Department of Pathobiology, Pharmacology and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Bert Devriendt
- Department of Translational Physiology, Infectiology and Public Health, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Ilias Chantziaras
- Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Lisa Beuckelaere
- Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Evelien Biebaut
- Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Freddy Haesebrouck
- Department of Pathobiology, Pharmacology and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | | | - Luís Guilherme de Oliveira
- Department of Veterinary Clinic and Surgery, School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, Brazil
| | - Dominiek Maes
- Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
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2
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Recchia M, Ghidini S, Romeo C, Scali F, Maisano AM, Guadagno F, De Luca S, Ianieri A, Alborali GL. An Integrated Analysis of Abattoir Lung Lesion Scores and Antimicrobial Use in Italian Heavy Pig Finishing Farms. Animals (Basel) 2024; 14:1621. [PMID: 38891668 PMCID: PMC11171393 DOI: 10.3390/ani14111621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024] Open
Abstract
Respiratory diseases significantly affect intensive pig finishing farms, causing production losses and increased antimicrobial use (AMU). Lesion scoring at slaughter has been recognized as a beneficial practice to evaluate herd management. The integrated analysis of abattoir lesion scores and AMU data could improve decision-making by providing feedback to veterinarians and farmers on the effectiveness of antimicrobial treatments, thus rationalizing their use. This study compared lung and pleural lesion scores collected at Italian pig slaughterhouses with on-farm AMU, estimated through a treatment index per 100 days (TI100). Overall, 24,752 pig carcasses, belonging to 236 batches from 113 finishing farms, were inspected. Bronchopneumonia and chronic pleuritis were detected in 55% and 48% of the examined pigs, respectively. Antimicrobials were administered in 97% of the farms during the six months prior to slaughter (median TI100 = 5.2), notwithstanding compliance with the mandatory withdrawal period. EMA category B (critical) antimicrobials were administered in 15.2% of cases (median TI100 = 0.06). The lung score was not associated with the total AMU, but significant, positive associations were found with the past use of critical antimicrobials (p = 0.041) and macrolides (p = 0.044). This result highlights the potential of abattoir lung lesion monitoring to rationalize antimicrobial stewardship efforts, contributing to AMU reduction.
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Affiliation(s)
- Matteo Recchia
- Section Diagnostic and Animal Health, Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (IZSLER), Via Bianchi 7/9, 25124 Brescia, Italy; (M.R.); (F.S.); (A.M.M.); (F.G.); (G.L.A.)
| | - Sergio Ghidini
- Department of Veterinary Medicine and Animal Sciences, University of Milan, Via dell’Università 6, 26900 Lodi, Italy;
| | - Claudia Romeo
- Section Diagnostic and Animal Health, Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (IZSLER), Via Bianchi 7/9, 25124 Brescia, Italy; (M.R.); (F.S.); (A.M.M.); (F.G.); (G.L.A.)
- Center for Evolutionary Hologenomics—Globe Institute, University of Copenhagen, Øster Farimagsgade 5, 1353 Copenhagen, Denmark
| | - Federico Scali
- Section Diagnostic and Animal Health, Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (IZSLER), Via Bianchi 7/9, 25124 Brescia, Italy; (M.R.); (F.S.); (A.M.M.); (F.G.); (G.L.A.)
| | - Antonio Marco Maisano
- Section Diagnostic and Animal Health, Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (IZSLER), Via Bianchi 7/9, 25124 Brescia, Italy; (M.R.); (F.S.); (A.M.M.); (F.G.); (G.L.A.)
| | - Federica Guadagno
- Section Diagnostic and Animal Health, Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (IZSLER), Via Bianchi 7/9, 25124 Brescia, Italy; (M.R.); (F.S.); (A.M.M.); (F.G.); (G.L.A.)
| | | | - Adriana Ianieri
- Department of Food and Drug, Parma University, Via del Taglio 10, 43126 Parma, Italy;
| | - Giovanni Loris Alborali
- Section Diagnostic and Animal Health, Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (IZSLER), Via Bianchi 7/9, 25124 Brescia, Italy; (M.R.); (F.S.); (A.M.M.); (F.G.); (G.L.A.)
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3
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Arruda LP, Malcher C, Petri FAM, da Silva DG, Storino GY, Almeida HMDS, Sonalio K, Toledo LT, de Oliveira LG. Pathological analysis and etiological assessment of pulmonary lesions and its association with pleurisy in slaughtered pigs. Vet Microbiol 2024; 292:110039. [PMID: 38502977 DOI: 10.1016/j.vetmic.2024.110039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 02/29/2024] [Accepted: 03/04/2024] [Indexed: 03/21/2024]
Abstract
The intensification of pig farming has posed significant challenges in managing and preventing sanitary problems, particularly diseases of the respiratory complex. Monitoring at slaughter is an important control tool and cannot be overstated. Hence, this study aimed at characterizing both macroscopical and microscopical lesions and identifying the Actinobacillus pleuropneumoniae (APP), Mycoplasma hyopneumoniae (Mhyo), and Pasteurella multocida (PM) associated with pleurisy in swine. For this, a selected slaughterhouse in São Paulo State underwent a thorough examination of carcasses on the slaughter line, followed by lung sampling. The carcasses and lungs underwent macroscopical examination and were classified according to the score of pleurisy and lung samples were allocated into five groups, being: G0: score 0 - no lesions; G1: score 1; G2: score 2; G3: score 3; and G4: score 4. In total, 217 lung fragments were collected, for the histopathological evaluation and detection of the following respiratory pathogens: APP, Mhyo, and PM by qPCR. The results demonstrated that Mhyo and APP were the most prevalent etiological agents (single and co-identification) in lung samples, in different scores of pleurisies, while bronchopneumonia and bronchus-associated lymphoid tissue (BALT) hyperplasia lesions were the most frequent histopathological findings. Positive correlations were found between the quantification of APP DNA with 1) the score of pleurisy (R=0.254); 2) with the score of lung consolidation in all lung lobes (R=0.181 to R=0.329); and 3) with the score of lung consolidation in the entire lung (R=0.389). The study brings relevant information regarding the main bacterial pathogens associated with pleurisy in pigs and helps with understanding the relationship between the abovementioned pathogens and their impact on the respiratory health of pigs.
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Affiliation(s)
- Laíza Pinto Arruda
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, São Paulo 14884-900, Brazil
| | - Clarisse Malcher
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, São Paulo 14884-900, Brazil
| | - Fernando Antônio Moreira Petri
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, São Paulo 14884-900, Brazil
| | - Daniela Gomes da Silva
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, São Paulo 14884-900, Brazil
| | - Gabriel Yuri Storino
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, São Paulo 14884-900, Brazil
| | | | - Karina Sonalio
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, São Paulo 14884-900, Brazil; Unit of Porcine Health Management, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, Merelbeke 9820, Belgium
| | - Leonardo Teófilo Toledo
- Federal University of Viçosa (UFV), Laboratory of Bacterial Diseases (LDBAC), Viçosa, Brazil
| | - Luís Guilherme de Oliveira
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, São Paulo 14884-900, Brazil.
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4
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Varrà MO, Conter M, Recchia M, Alborali GL, Maisano AM, Ghidini S, Zanardi E. Feasibility of Near-Infrared Spectroscopy in the Classification of Pig Lung Lesions. Vet Sci 2024; 11:181. [PMID: 38668448 PMCID: PMC11053972 DOI: 10.3390/vetsci11040181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 04/03/2024] [Accepted: 04/16/2024] [Indexed: 04/29/2024] Open
Abstract
Respiratory diseases significantly affect intensive pig farming, causing production losses and increased antimicrobial use. Accurate classification of lung lesions is crucial for effective diagnostics and disease management. The integration of non-destructive and rapid techniques would be beneficial to enhance overall efficiency in addressing these challenges. This study investigates the potential of near-infrared (NIR) spectroscopy in classifying pig lung tissues. The NIR spectra (908-1676 nm) of 101 lungs from weaned pigs were analyzed using a portable instrument and subjected to multivariate analysis. Two distinct discriminant models were developed to differentiate normal (N), congested (C), and pathological (P) lung tissues, as well as catarrhal bronchopneumonia (CBP), fibrinous pleuropneumonia (FPP), and interstitial pneumonia (IP) patterns. Overall, the model tailored for discriminating among pathological lesions demonstrated superior classification performances. Major challenges arose in categorizing C lungs, which exhibited a misclassification rate of 30% with N and P tissues, and FPP samples, with 30% incorrectly recognized as CBP samples. Conversely, IP and CBP lungs were all identified with accuracy, precision, and sensitivity higher than 90%. In conclusion, this study provides a promising proof of concept for using NIR spectroscopy to recognize and categorize pig lungs with different pathological lesions, offering prospects for efficient diagnostic strategies.
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Affiliation(s)
- Maria Olga Varrà
- Department of Food and Drug, University of Parma, Strada del Taglio 10, 43126 Parma, Italy; (M.O.V.); (E.Z.)
| | - Mauro Conter
- Department of Veterinary Science, University of Parma, Strada del Taglio 10, 43126 Parma, Italy
| | - Matteo Recchia
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia-Romagna-Headquarters, Via A. Bianchi, 9, 25124 Brescia, Italy; (G.L.A.); (A.M.M.)
| | - Giovanni Loris Alborali
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia-Romagna-Headquarters, Via A. Bianchi, 9, 25124 Brescia, Italy; (G.L.A.); (A.M.M.)
| | - Antonio Marco Maisano
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia-Romagna-Headquarters, Via A. Bianchi, 9, 25124 Brescia, Italy; (G.L.A.); (A.M.M.)
| | - Sergio Ghidini
- Department of Veterinary Medicine and Animal Sciences, Via dell’Università 6, 26900 Lodi, Italy;
| | - Emanuela Zanardi
- Department of Food and Drug, University of Parma, Strada del Taglio 10, 43126 Parma, Italy; (M.O.V.); (E.Z.)
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5
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Hattab J, Porrello A, Romano A, Rosamilia A, Ghidini S, Bernabò N, Capobianco Dondona A, Corradi A, Marruchella G. Scoring Enzootic Pneumonia-like Lesions in Slaughtered Pigs: Traditional vs. Artificial-Intelligence-Based Methods. Pathogens 2023; 12:1460. [PMID: 38133343 PMCID: PMC10747234 DOI: 10.3390/pathogens12121460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/08/2023] [Accepted: 12/14/2023] [Indexed: 12/23/2023] Open
Abstract
Artificial-intelligence-based methods are regularly used in the biomedical sciences, mainly in the field of diagnostic imaging. Recently, convolutional neural networks have been trained to score pleurisy and pneumonia in slaughtered pigs. The aim of this study is to further evaluate the performance of a convolutional neural network when compared with the gold standard (i.e., scores provided by a skilled operator along the slaughter chain through visual inspection and palpation). In total, 441 lungs (180 healthy and 261 diseased) are included in this study. Each lung was scored according to traditional methods, which represent the gold standard (Madec's and Christensen's grids). Moreover, the same lungs were photographed and thereafter scored by a trained convolutional neural network. Overall, the results reveal that the convolutional neural network is very specific (95.55%) and quite sensitive (85.05%), showing a rather high correlation when compared with the scores provided by a skilled veterinarian (Spearman's coefficient = 0.831, p < 0.01). In summary, this study suggests that convolutional neural networks could be effectively used at slaughterhouses and stimulates further investigation in this field of research.
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Affiliation(s)
- Jasmine Hattab
- Department of Veterinary Medicine, University of Teramo, Loc. Piano d’Accio, 64100 Teramo, Italy;
| | - Angelo Porrello
- AImageLab, University of Modena and Reggio Emilia, Via Vivarelli 10/1, 41125 Modena, Italy;
| | - Anastasia Romano
- Associació Porcsa. GSP, Partida La Caparrella 97C, 25192 Lleida, Spain;
| | - Alfonso Rosamilia
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia-Romagna “Bruno Ubertini” (IZSLER), 25124 Brescia, Italy;
| | - Sergio Ghidini
- Department of Food and Drug, University of Parma, Via del Taglio 10, 43126 Parma, Italy;
| | - Nicola Bernabò
- Department of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Via Renato Balzarini 1, 64100 Teramo, Italy;
| | | | - Attilio Corradi
- Department of Veterinary Science, University of Parma, Via del Taglio 10, 43126 Parma, Italy;
| | - Giuseppe Marruchella
- Department of Veterinary Medicine, University of Teramo, Loc. Piano d’Accio, 64100 Teramo, Italy;
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6
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Ghidini S, De Luca S, Rinaldi E, Zanardi E, Ianieri A, Guadagno F, Alborali GL, Meemken D, Conter M, Varrà MO. Comparing Visual-Only and Visual-Palpation Post-Mortem Lung Scoring Systems in Slaughtering Pigs. Animals (Basel) 2023; 13:2419. [PMID: 37570228 PMCID: PMC10417645 DOI: 10.3390/ani13152419] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/19/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023] Open
Abstract
Respiratory diseases continue to pose significant challenges in pig production, and the assessment of lung lesions at the abattoir can provide valuable data for epidemiological investigations and disease surveillance. The evaluation of lung lesions at slaughter is a relatively simple, fast, and straightforward process but variations arising from different abattoirs, observers, and scoring methods can introduce uncertainty; moreover, the presence of multiple scoring systems complicates the comparisons of different studies, and currently, there are limited studies that compare these systems among each other. The objective of this study was to compare validated, simplified, and standardized schemes for assessing surface-related lung lesions in slaughtered pigs and analyze their reliability under field conditions. This study was conducted in a high-throughput abattoir in Italy, where two different scoring methods (Madec and Blaha) were benchmarked using 637 plucks. Statistical analysis revealed a good agreement between the two methods when severe or medium lesions were observed; however, their ability to accurately identify healthy lungs and minor injuries diverged significantly. These findings demonstrate that the Blaha method is more suitable for routine surveillance of swine respiratory diseases, whereas the Madec method can give more detailed and reliable results for the respiratory and welfare status of the animals at the farm level.
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Affiliation(s)
- Sergio Ghidini
- Department of Food and Drug, University of Parma, Via del Taglio 10, 43126 Parma, Italy; (S.G.); (S.D.L.); (E.R.); (E.Z.); (A.I.); (M.O.V.)
| | - Silvio De Luca
- Department of Food and Drug, University of Parma, Via del Taglio 10, 43126 Parma, Italy; (S.G.); (S.D.L.); (E.R.); (E.Z.); (A.I.); (M.O.V.)
| | - Elena Rinaldi
- Department of Food and Drug, University of Parma, Via del Taglio 10, 43126 Parma, Italy; (S.G.); (S.D.L.); (E.R.); (E.Z.); (A.I.); (M.O.V.)
| | - Emanuela Zanardi
- Department of Food and Drug, University of Parma, Via del Taglio 10, 43126 Parma, Italy; (S.G.); (S.D.L.); (E.R.); (E.Z.); (A.I.); (M.O.V.)
| | - Adriana Ianieri
- Department of Food and Drug, University of Parma, Via del Taglio 10, 43126 Parma, Italy; (S.G.); (S.D.L.); (E.R.); (E.Z.); (A.I.); (M.O.V.)
| | - Federica Guadagno
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia-Romagna-Headquarters, Via A. Bianchi, 9, 25124 Brescia, Italy; (F.G.); (G.L.A.)
| | - Giovanni Loris Alborali
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia-Romagna-Headquarters, Via A. Bianchi, 9, 25124 Brescia, Italy; (F.G.); (G.L.A.)
| | - Diana Meemken
- Department of Veterinary Medicine, Institute of Food Safety and Food Hygiene, Freie Universität Berlin, 14163 Berlin, Germany;
| | - Mauro Conter
- Department of Veterinary Science, University of Parma, Via del Taglio 10, 43126 Parma, Italy
| | - Maria Olga Varrà
- Department of Food and Drug, University of Parma, Via del Taglio 10, 43126 Parma, Italy; (S.G.); (S.D.L.); (E.R.); (E.Z.); (A.I.); (M.O.V.)
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7
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Pessoa J, McAloon C, Boyle L, García Manzanilla E, Norton T, Rodrigues da Costa M. Value of simplified lung lesions scoring systems to inform future codes for routine meat inspection in pigs. Porcine Health Manag 2023; 9:31. [PMID: 37391833 DOI: 10.1186/s40813-023-00324-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 06/13/2023] [Indexed: 07/02/2023] Open
Abstract
BACKGROUND Across the European Union (EU), efforts are being made to achieve modernisation and harmonisation of meat inspection (MI) code systems. Lung lesions were prioritised as important animal based measures at slaughter, but existing standardized protocols are difficult to implement for routine MI. This study aimed to compare the informative value and feasibility of simplified lung lesion scoring systems to inform future codes for routine post mortem MI. RESULTS Data on lung lesions in finisher pigs were collected at slaughter targeting 83 Irish pig farms, with 201 batches assessed, comprising 31,655 pairs of lungs. Lungs were scored for cranioventral pulmonary consolidations (CVPC) and pleurisy lesions using detailed scoring systems, which were considered the gold standard. Using the data collected, scenarios for possible simplified scoring systems to record CVPC (n = 4) and pleurisy (n = 4) lesions were defined. The measurable outcomes were the prevalence and (if possible) severity scoring at batch level for CVPC and pleurisy. An arbitrary threshold was set to the upper quartile (i.e., the top 25% of batches with high prevalence/severity of CVPC or pleurisy, n = 50). Each pair of measurable outcomes was compared by calculating Spearman rank correlations and assessing if batches above the threshold for one measurable outcome were also above it for their pairwise comparison. All scenarios showed perfect agreement (k = 1) when compared among themselves and the gold standard for the prevalence of CVPC. The agreement among severity outcomes and the gold standard showed moderate to perfect agreement (k = [0.66, 1]). The changes in ranking were negligible for all measurable outcomes of pleurisy for scenarios 1, 2 and 3 when compared with the gold standard (rs ≥ 0.98), but these changes amounted to 50% for scenario 4. CONCLUSIONS The best simplified CVPC scoring system is to simply count the number of lung lobes affected excluding the intermediate lobe, which provides the best trade-off between value of information and feasibility, by incorporating information on CVPC prevalence and severity. While for pleurisy evaluation, scenario 3 is recommended. This simplified scoring system provides information on the prevalence of cranial and moderate and severe dorsocaudal pleurisy. Further validation of the scoring systems at slaughter and by private veterinarians and farmers is needed.
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Affiliation(s)
- Joana Pessoa
- Pig Development Department, Teagasc Animal and Grassland Research and Innovation Centre, Moorepark, Ireland.
- Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Ireland.
- Department of Reproduction, Obstetrics and Herd Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.
| | - Conor McAloon
- Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Ireland
| | - Laura Boyle
- Pig Development Department, Teagasc Animal and Grassland Research and Innovation Centre, Moorepark, Ireland
| | - Edgar García Manzanilla
- Pig Development Department, Teagasc Animal and Grassland Research and Innovation Centre, Moorepark, Ireland
- Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Ireland
| | - Tomas Norton
- M3-BIORES-Measure, Model and Manage Bioresponses, KU Leuven, Leuven, Belgium
| | - Maria Rodrigues da Costa
- Pig Development Department, Teagasc Animal and Grassland Research and Innovation Centre, Moorepark, Ireland
- Section of Herd Health and Animal Husbandry, School of Veterinary Medicine, University College Dublin, Belfield, Ireland
- Epidemiology Research Unit, Department of Veterinary and Animal Science, Northern Faculty, Scotland's Rural College (SRUC), An Lòchran, 10 Inverness Campus, Inverness, IV2 5NA, Scotland, UK
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8
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Petri FAM, Ferreira GC, Arruda LP, Malcher CS, Storino GY, Almeida HMDS, Sonalio K, Silva DGD, Oliveira LGD. Associations between Pleurisy and the Main Bacterial Pathogens of the Porcine Respiratory Diseases Complex (PRDC). Animals (Basel) 2023; 13:ani13091493. [PMID: 37174529 PMCID: PMC10177087 DOI: 10.3390/ani13091493] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 04/02/2023] [Accepted: 04/21/2023] [Indexed: 05/15/2023] Open
Abstract
Porcine Respiratory Diseases Complex (PRDC) is a multifactorial disease that involves several bacterial pathogens, including Mycoplasma hyopneumoniae (M. hyopneumoniae), Actinobacillus pleuropneumoniae (A. pleuropneumoniae), Pasteurella multocida (P. multocida), Glaesserella parasuis (G. parasuis), and Streptococcus suis (S. suis). In pigs, the infection may cause lesions such pleurisy, which can lead to carcass condemnation. Hence, 1015 carcasses were selected from three different commercial pig farms, where the respiratory conditions were evaluated using slaughterhouse pleurisy evaluation system (SPES) and classified into five groups. In total, 106 pleural and lung fragments were collected for qPCR testing to identify the five abovementioned pathogens. A moderate correlation between the severity of the lesions and the presence of P. multocida (R = 0.38) and A. pleuropneumoniae (R = 0.28) was observed. Concerning the lung samples, the severity of the lesions was moderately correlated with the presence of P. multocida (R = 0.43) and M. hyopneumoniae (R = 0.35). Moreover, there was a strong correlation between the presence of P. multocida and M.hyopneumoniae in the pleura (R = 0.82). Finally, this approach may be a useful tool to identify and quantify causative agents of PRDC using qPCR, providing a comprehensive evaluation of its relevance, strength, and potential application in the field as a surveillance tool for veterinarians.
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Affiliation(s)
| | - Geovana Coelho Ferreira
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal 14884-900, SP, Brazil
| | - Laíza Pinto Arruda
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal 14884-900, SP, Brazil
| | - Clarisse Sena Malcher
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal 14884-900, SP, Brazil
| | - Gabriel Yuri Storino
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal 14884-900, SP, Brazil
| | | | - Karina Sonalio
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal 14884-900, SP, Brazil
- Unit of Porcine Health Management, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium
| | - Daniela Gomes da Silva
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal 14884-900, SP, Brazil
| | - Luís Guilherme de Oliveira
- School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal 14884-900, SP, Brazil
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