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Home / Equine Research Bank / J Vet Intern Med / Diagnostic and predictive capability of routine laboratory t...
Journal of veterinary internal medicine2014; 28(5); 1587-1593; doi: 10.1111/jvim.12404

Diagnostic and predictive capability of routine laboratory tests for the diagnosis and staging of equine inflammatory disease.

Abstract: A wide spectrum of laboratory tests is available to aid diagnosis and classification of equine inflammatory disease. Objective: To compare diagnostic efficacy and combined predictive capability of the myeloperoxidase index (MPXI), and plasma fibrinogen, iron and serum amyloid A (SAA) concentrations for the diagnosis of inflammation. Methods: Twenty-six hospitalized horses with systemic inflammation (SI), 114 with local inflammation (LI) and 61 healthy horses or those with noninflammatory disease (NI) were included. Methods: A retrospective study was performed; clinicopathologic data from horses were compared between groups. Receiver-operator characteristic (ROC) curves were used to evaluate diagnostic efficacy; classification and regression tree analysis (CART) and logistic regression analysis were used to generate diagnostic algorithms. Results: Horses with SI had significantly higher SAA than horses with LI (P = .007) and NI (P < .001) and lower iron concentrations than horses with LI (P < .001) and NI (P < .001). Fibrinogen concentration was higher in horses with inflammation than in those without inflammation (P = .002). There was no difference between the SI and LI groups. White blood cell count, neutrophil count and MPXI were similar between groups. SAA had the highest accuracy for diagnosing inflammation (area under ROC curve [AUC], 0.83 ± 0.06) and iron and SAA concentration had the highest accuracy for differentiating SI from LI (AUC, 0.80 ± 0.09 and 0.73 ± 0.10 respectively). Predictive modeling failed to generate useful algorithms and classification of cases was moderate. Conclusions: Very high SAA and low iron concentrations may reflect SI, but diagnostic guidelines based on quantitative results of inflammatory markers could not be formulated.
Copyright © 2014 by the American College of Veterinary Internal Medicine.
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Publication Date: 2014-07-23 PubMed ID: 25056342PubMed Central: PMC4895560DOI: 10.1111/jvim.12404Google Scholar: Lookup
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  • Journal Article

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 study evaluates the efficacy of various laboratory tests, focusing on specific biomarkers, for accurately diagnosing inflammation in horses. Although some markers show promise, the findings suggest that current predictive models are insufficient for formulating standardized diagnostic guidelines for equine inflammatory diseases.

Research Objectives and Methods

  • The main focus of this study was to assess the diagnostic effectiveness and combined predictive capacity of the myeloperoxidase index (MPXI), plasma fibrinogen, iron and serum amyloid A (SAA) concentrations for identifying inflammation in horses.
  • It involved a total of 201 horses which were segregated into three groups for the purpose of the study: 26 horses with systemic inflammation (SI), 114 with local inflammation (LI), and 61 horses identified as healthy or suffering from noninflammatory disease (NI).
  • The research employed a retrospective design, comparing clinicopathological data from each group of horses. To determine the diagnostic efficacy of the parameters being studied, the researchers utilized receiver-operator characteristic (ROC) curves. For generation of diagnostic algorithms, they used classification and regression tree analysis (CART) and logistic regression analysis.

Research Findings

  • The results showed that horses with SI had significantly higher serum amyloid A (SAA) concentrations compared to the horses in the LI and NI groups. On the other hand, iron concentrations in SI horses were notably lower than those measured in the LI and NI groups.
  • Fibrinogen concentration, another potential inflammatory marker, was found to be higher in horses with inflammation, whether systemic or local, in comparison to those without inflammation.
  • White blood cell count, neutrophil count, and MPXI—that were also evaluated for their correlation with inflammation—showed no significant variations across the three groups.
  • Among all parameters, SAA proved to be the most accurate for diagnosing inflammation while both iron and SAA concentrations were most accurate when differentiating systemic from local inflammation.
  • Despite these findings, the predictive modeling performed using CART and logistic regression failed to yield practical algorithms. Subsequently, the classification of cases based on these models was only moderate.

Conclusions

  • The research concluded that very high SAA and low iron concentrations may be indicative of systemic inflammation in horses.
  • Despite this, the study suggests that diagnostic protocols based on quantitative results of inflammatory markers could not be successfully established with the currently available predictive models.

Cite This Article

APA
Hooijberg EH, van den Hoven R, Tichy A, Schwendenwein I. (2014). Diagnostic and predictive capability of routine laboratory tests for the diagnosis and staging of equine inflammatory disease. J Vet Intern Med, 28(5), 1587-1593. https://doi.org/10.1111/jvim.12404

Publication

Journal of veterinary internal medicine
ISSN: 1939-1676
NlmUniqueID: 8708660
Country: United States
Language: English
Volume: 28
Issue: 5
Pages: 1587-1593

Researcher Affiliations

Hooijberg, E H
  • Platform for Clinical Pathology, University of Veterinary Medicine, Vienna, Austria.
van den Hoven, R
    Tichy, A
      Schwendenwein, I

        MeSH Terms

        • Animals
        • Female
        • Fibrinogen / analysis
        • Horse Diseases / blood
        • Horse Diseases / diagnosis
        • Horses
        • Inflammation / blood
        • Inflammation / diagnosis
        • Inflammation / veterinary
        • Iron / blood
        • Male
        • Peroxidase / blood
        • Predictive Value of Tests
        • Retrospective Studies
        • Serum Amyloid A Protein / analysis
        • Systemic Inflammatory Response Syndrome / blood
        • Systemic Inflammatory Response Syndrome / diagnosis
        • Systemic Inflammatory Response Syndrome / veterinary

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        Citations

        This article has been cited 7 times.
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        2. Sinovich M, Villarino NF, Singer E, Robinson CS, Rubio-Martínez LM. Can blood serum amyloid A concentrations in horses differentiate synovial sepsis from extrasynovial inflammation and determine response to treatment?. Vet Rec 2020 Sep 19;187(6):235.
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