Latent class analysis identifies multimorbidity patterns in pigs with respiratory disease
Tamsin S Barnes1, Annierica Lajarca2, Rona Bernales3
1The University of Queensland, School of Veterinary Science, Gatton, QLD, 4343, Australia; The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Brisbane, QLD, 4102, Australia.
Respiratory disease significantly impacts the Philippine pig industry. This study identified four distinct classes of thoracic lesions in slaughter-age pigs, with prevalence varying by province and farm type.
Area of Science:
- Veterinary Medicine
- Animal Science
- Epidemiology
Background:
- Respiratory disease is a major economic concern in the global pig industry.
- The pig subsector is a significant part of the Philippines' livestock economy.
- Understanding thoracic lesion prevalence is crucial for disease management.
Purpose of the Study:
- To estimate the prevalence of thoracic lesions in slaughter-age pigs in Batangas and Albay, Philippines.
- To define respiratory health classes based on lesion patterns.
- To analyze the influence of province and farm type on lesion distribution.
Main Methods:
- A cross-sectional study involving 560 pigs from Batangas and Albay.
- Lung scoring for cranio-ventral pneumonia and pleurisy, with recording of pericarditis and focal dorso-caudal pneumonia.
- Latent class analysis incorporating lesion indicators, province, and farm type as covariates.
Main Results:
- High lung scores (≥7) were prevalent in 51.9% of pigs in Batangas and 13.7% in Albay.
- Pleurisy (≥1), pericarditis, and focal dorso-caudal pneumonia also showed higher prevalence in Batangas.
- Latent class analysis identified four health classes: 'healthy', 'mild respiratory disease', 'moderate pneumonia', and 'multi-lesion'.
Conclusions:
- Thoracic lesion prevalence and patterns differ significantly between Batangas and Albay, and by farm type.
- Pigs in Batangas, particularly from commercial farms, exhibited a higher prevalence of 'multi-lesion' respiratory disease.
- Targeted interventions in high-prevalence areas and further risk factor research are recommended for effective control measures.
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