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Journal of veterinary medicine. A, Physiology, pathology, clinical medicine2001; 48(2); 75-84; doi: 10.1046/j.1439-0442.2001.00335.x

Statistical shape analysis of volumetric capnograms: evaluation of a new approach for the assessment of pulmonary function in horses with chronic obstructive pulmonary disease.

Abstract: The shape of the volumetric capnogram is modified by airway obstruction, and the evaluation of this deformation could allow an indirect measurement of bronchial patency. The study included 35 horses; five horses without evidence of pulmonary disease (group I) and 30 horses suffering from different degrees of chronic obstructive pulmonary disease (COPD) (groups II-IV). Data of recorded CO2 and volume curves were off-line plotted and statistically analysed using regression analysis. Analyses were performed separately for fractions 25-95% (VTE25-95), 25-50% (VTE25-50) and 50-95% (VTE50-95) of expiratory tidal volume. For VTE25-95 estimates of linear and quadratic regression parameters were significantly different between groups. For VTE25-50 linear terms were significant in all clinical groups and decreased considerably from group I to group IV. Linear and quadratic terms for VTE50-95 were significant in all clinical groups and increased with the severity of COPD. The difference of total expiratory CO2 volume was significant between all groups. Statistical analysis of the volumetric capnogram is a precise method for description of shape deformities of the single breath diagram for CO2 (SBD-CO2) in horses with COPD and global models including phase II and III of the SBD-CO2 are helpful in the detection of pulmonary function impairment. However, although the model of the statistical shape analysis of the SBD-CO2 is precise, it may not necessarily be a useful test to discriminate horses with minor, moderate and severe COPD for clinical use.
Publication Date: 2001-04-24 PubMed ID: 11315571DOI: 10.1046/j.1439-0442.2001.00335.xGoogle Scholar: Lookup
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  • Journal Article

Summary

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The research conducted statistical shape analyses of volumetric capnograms in order to assess pulmonary function in horses with chronic obstructive pulmonary disease (COPD), revealing distinctions between groups of varying disease progression but suggesting limited clinical utility for distinguish between minor, moderate, and severe COPD.

Study Design and Participants

  • The research involved 35 horses divided into two main groups: one group of five horses without any known pulmonary disease (Group I) and another group of 30 horses that were suffering from varying degrees of COPD (Groups II-IV).
  • The disease severity of the horses in the latter group determined their placement within Groups II-IV.

Methodology

  • Data collected from the horses included recorded CO2 and volume curves. This data was analysed offline using regression analysis.
  • The analysis specifically examined three fractions of expiratory tidal volume: 25-95% (VTE 25-95), 25-50% (VTE 25-50) and 50-95% (VTE 50-95).
  • The shape of the volumetric capnogram could indirectly indicate the patency of the bronchi, potentially indicating airway obstruction.

Results

  • Significant differences were found in linear and quadratic regression parameters among groups for VTE 25-95 estimates.
  • In all clinical groups, linear terms were significant for VTE 25-50 and decreased substantially from Group I to Group IV.
  • Linear and quadratic terms for VTE 50-95 were seen to be significant across all clinical groups, showing an increase in line with COPD severity.
  • A notable difference was observed between all groups in terms of total expiratory CO2 volume.

Conclusions

  • The statistical analysis of volumetric capnogram data is a highly accurate method for determining the shape deformities present in the single breath diagram for CO2 (SBD-CO2) in horses suffering from COPD.
  • Comprehensive models that include Phase II and III of the SBD-CO2 can assist in identifying impairments to pulmonary function.
  • Despite the precision of the statistical shape analysis of the SBD-CO2 model, it might not be a useful tool for accurately identifying horses with minor, moderate, or severe COPD for clinical applications.

Cite This Article

APA
Herholz C, Straub R, Moens Y, Busato A. (2001). Statistical shape analysis of volumetric capnograms: evaluation of a new approach for the assessment of pulmonary function in horses with chronic obstructive pulmonary disease. J Vet Med A Physiol Pathol Clin Med, 48(2), 75-84. https://doi.org/10.1046/j.1439-0442.2001.00335.x

Publication

ISSN: 0931-184X
NlmUniqueID: 100955112
Country: Germany
Language: English
Volume: 48
Issue: 2
Pages: 75-84

Researcher Affiliations

Herholz, C
  • Faculty of Veterinary Medicine, University of Berne, Berne, Switzerland.
Straub, R
    Moens, Y
      Busato, A

        MeSH Terms

        • Animals
        • Capnography / statistics & numerical data
        • Capnography / veterinary
        • Case-Control Studies
        • Female
        • Horse Diseases / diagnosis
        • Horse Diseases / physiopathology
        • Horses
        • Linear Models
        • Lung Diseases, Obstructive / diagnosis
        • Lung Diseases, Obstructive / physiopathology
        • Lung Diseases, Obstructive / veterinary
        • Male
        • Predictive Value of Tests
        • Regression Analysis
        • Severity of Illness Index
        • Spirometry / statistics & numerical data
        • Spirometry / veterinary

        Citations

        This article has been cited 2 times.
        1. Qi GS, Gu WC, Yang WL, Xi F, Wu H, Liu JM. The ability of volumetric capnography to distinguish between chronic obstructive pulmonary disease patients and normal subjects.. Lung 2014 Oct;192(5):661-8.
          doi: 10.1007/s00408-014-9615-4pubmed: 25022827google scholar: lookup
        2. Herholz C, Straub R, Lüthi S, Imhof A, Busato A. Differences in pulmonary functional indices derived from the single-breath diagram for CO2 (SBD-CO2) in horses related to age, sex and usage.. Vet Res Commun 2002 Aug;26(6):467-78.
          doi: 10.1023/a:1020542525785pubmed: 12241100google scholar: lookup