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Home / Equine Research Bank / Animals (Basel) / Decision Making in Severe Equine Asthma-Diagnosis and Monito...
Animals : an open access journal from MDPI2023; 13(24); 3872; doi: 10.3390/ani13243872

Decision Making in Severe Equine Asthma-Diagnosis and Monitoring.

Abstract: Decision making consists of gathering quality data in order to correctly assess a situation and determine the best course of action. This process is a fundamental part of medicine and is what enables practitioners to accurately diagnose diseases and select appropriate treatment protocols. Despite severe equine asthma (SEA) being a highly prevalent lower respiratory disease amongst equids, clinicians still struggle with the optimization of routine diagnostic procedures. The use of several ancillary diagnostic tests has been reported for disease identification and monitoring, but many are only suitable for research purposes or lack practicality for everyday use. The aim of this paper is to assist the equine veterinarian in the process of decision making associated with managing SEA-affected patients. This review will focus on disease diagnosis and monitoring, while also presenting a flow-chart which includes the basic data that the clinician must obtain in order to accurately identify severely asthmatic horses in their everyday routine practice. It is important to note that European and American board-certified specialists on equine internal medicine can provide assistance in the diagnosis and treatment plan of SEA-affected horses.
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Publication Date: 2023-12-16 PubMed ID: 38136909PubMed Central: PMC10740644DOI: 10.3390/ani13243872Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research discusses the challenges of diagnosing and monitoring severe equine asthma (SEA), a common respiratory disease in horses, and suggests ways to optimize these processes for effective patient management.

Understanding the Problem

  • The process of decision making in medical diagnosis involves collecting quality data to assess the condition accurately and select the most suitable treatment.
  • Despite its high prevalence, correct diagnosis and monitoring of severe equine asthma (SEA) remain complicated due to the limitations of available diagnostic tests. These tests often fall short in practicality for regular use or are more suited for research purposes.
  • Equine veterinarians typically encounter challenges in identifying and monitoring SEA-affected patients, which signals a need to optimize the diagnostic process.

Aimed Solution

  • The paper aims to aid equine veterinarians in decision making related to the management of SEA-affected patients.
  • It focuses on the diagnosis and monitoring of the disease and presents a flow-chart as a guide.
  • The flow-chart includes basic data that clinicians need to collect to accurately identify severely asthmatic horses in their regular practice.

Value of Specialized Support

  • The paper recognizes the role of European and American board-certified specialists in equine internal medicine.
  • These specialists can provide valuable assistance in diagnosing and planning the treatment of SEA-affected horses, thereby complementing the efforts of regular clinicians.

Cite This Article

APA
Simões J, Tilley P. (2023). Decision Making in Severe Equine Asthma-Diagnosis and Monitoring. Animals (Basel), 13(24), 3872. https://doi.org/10.3390/ani13243872

Publication

Animals : an open access journal from MDPI
ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 13
Issue: 24
PII: 3872

Researcher Affiliations

Simões, Joana
  • Equine Health and Welfare Academic Division, Faculty of Veterinary Medicine, Lusófona University, Campo Grande 376, 1749-024 Lisbon, Portugal.
  • CIISA-Centre for Interdisciplinary Research in Animal Health, Faculty of Veterinary Medicine, University of Lisbon, 1300-477 Lisbon, Portugal.
  • Associate Laboratory for Animal and Veterinary Sciences (AL4Animals), Faculty of Veterinary Medicine, University of Lisbon, 1300-477 Lisbon, Portugal.
Tilley, Paula
  • CIISA-Centre for Interdisciplinary Research in Animal Health, Faculty of Veterinary Medicine, University of Lisbon, 1300-477 Lisbon, Portugal.
  • Associate Laboratory for Animal and Veterinary Sciences (AL4Animals), Faculty of Veterinary Medicine, University of Lisbon, 1300-477 Lisbon, Portugal.

Grant Funding

  • UIDB/00276/2020 / Fundau00e7u00e3o para a Ciu00eancia e Tecnologia
  • LA/P/0059/2020 / Fundau00e7u00e3o para a Ciu00eancia e Tecnologia

Conflict of Interest Statement

The authors declare no conflict of interest.

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