Table 1.
Canine cognitive dysfunction rating (CCDR) scale from salvin et al. (2011).
Table 2.
Prevalence of CCD across different age groups, stratified by clinical group.
Table 3.
Univariate associations between the presence of CCD (CCDR ≥50) and signalment, clinical and lifestyle variables.
Fig 1.
Probability of being affected by canine cognitive dysfunction (CCD) by age in dogs with epilepsy (n = 286) and controls (n = 3765).
Results based on a generalised linear model with CCD as the binary outcome variable.
Fig 2.
Probability of being affected by canine cognitive dysfunction (CCD) across weight (kg) in the control population.
N.B. Age is kept constant (8 years old) to examine the effect of weight in isolation.
Table 4.
Multivariate model of risk factors for CCD in a population of 4051 dogs.
Table 5.
Multivariate model of risk factors for CCD in dogs ≤96 months of age (n = 1996 dogs).
Fig 3.
Probability of being affected by canine cognitive dysfunction (CCD) by age in dogs with epilepsy (n = 286) and controls (n = 3765).
Data are based on a generalised linear model with CCD as the binary outcome variable.
Table 6.
Generalised linear model of risk factors for CCDR score in a population of 4051 dogs.
Fig 4.
Effect of idiopathic epilepsy on CCDR score across age (years) in dogs with idiopathic epilepsy (n = 286) and controls (n = 3765).
Table 7.
Differences in the 13 sub-questions of the canine cognitive dysfunction rating (CCDR) scale between dogs with epilepsy (IE) and controls (C).
Table 8.
Univariate associations between epilepsy phenotype and canine cognitive dysfunction (CCD) score in the sub-group of dogs with IE.
Table 9.
Univariate associations between anti-epileptic drug treatment and canine cognitive dysfunction (CCD) score (from 16–80) in the sub-group of dogs (n = 286) with epilepsy. SF = Seizure frequency.
Table 10.
Generalised linear model of risk factors for CCDR score in the sub-population of dogs with epilepsy (n = 286).