Evaluation and comparison of pain questionnaires for clinical screening of osteoarthritis in cats.
Vet Rec 2019VR

Abstract

BACKGROUND

Feline osteoarthritis (OA) is a common cause of long-standing pain and physical dysfunction. Performing a physical examination of a cat is often challenging. There is a need for disease-specific questionnaires or the so-called clinical metrology instruments (CMIs) to facilitate diagnosis and evaluation of treatment of feline OA. The CMI provides the owners an assessment of the cat's behavioural and lifestyle changes in the home environment. The purpose of the study was to evaluate readability, internal consistency, reliability and discriminatory ability of four CMIs.

METHODS

This is a prospective, cross-sectional study with 142 client-owned cats. Feline OA was diagnosed based on medical history, orthopaedic examination and radiography.

RESULTS

The results indicate that all four instruments have sound readability, internal consistency, are reliable over time and have good discriminatory ability. Preliminary cut-off values with optimal sensitivity and specificity were suggested for each instrument. The osteoarthritic cats showed significant changes in behavioural response to pain during orthopaedic examination, compared with sound cats.

CONCLUSION

The results indicate that all four questionnaires make an important contribution in a clinical setting, and that the cat's behavioural response to pain during physical examination should be a parameter to take into account as a possible indication of chronic pain.

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  • Authors+Show Affiliations

    Stadig S
    Department of Clinical Sciences, The Swedish University of Agricultural Sciences, Uppsala, Sweden.
    Lascelles DBX
    Department of Clinical Sciences, North Carolina State University, Raleigh, North Carolina, USA.
    Nyman G
    Department of Clinical Sciences, The Swedish University of Agricultural Sciences, Uppsala, Sweden.
    Bergh A
    Department of Clinical Sciences, The Swedish University of Agricultural Sciences, Uppsala, Sweden anna.bergh@slu.se.

    Pub Type(s)

    Journal Article

    Language

    eng

    PubMed ID

    31619513