What Do We Know About Breed-Specific Prevalence and Risk?
World Small Animal Veterinary Association Congress Proceedings, 2017
Dan O'Neill, MVB, BSc(hons), GPCert(SAP), GPCert(FelP), GPCert(Derm), GPCert(B&PS), MSc(VetEpi), PhD, MRCVS
Veterinary Epidemiology, Economics and Public Health, The Royal Veterinary College, North Mymms, Hatfield, Hertfordshire, UK

Our understanding of breed-specific prevalence and risk is both a science and an art. The science is the generation and identification of the prevalence and risk values, and the art is the uncertainty that inevitably accompanies these data. To optimise welfare and other gains from the application of breed-specific data, we need to be comfortable and confident in both the science and the art.

Good science requires accurate and precise definitions. Prevalence describes the number of instances of disease (numerator) in a defined population (denominator) at/during a designated time and makes no distinction between old and new cases.1 Prevalence is usually reported as the percentage or proportion of the denominator that was affected. Point prevalence refers to the amount of disease at a particular point in time, whereas period prevalence refers to the amount of disease that occurred during a specified period of time. Incidence is the number of new cases in a defined denominator population over a specified period of time.1

Risk is subtly different in that it defines intentional interaction with uncertainty going forward. Risk describes the number of newly affected individuals over a specified period of time (numerator) divided by the total population at risk (denominator), although these expectations are often derived mainly from previously collected prevalence or incidence results.2 Risk can be reported in absolute terms as a percentage or proportion, or in relative terms as a relative risk or risk ratio. For example, we may say that the absolute risk (odds) for the next entire female French bulldog who presents at a UK emergency care clinic being a dystocia case is 20.6%. Alternatively, we can say that this risk (odds) is 15.9 times higher than if that next entire bitch was a crossbred.3 The absolute risk tells the size of the risk and the relative risk compares it to some other standard to put this risk into context.

As a creation of man's desire, breeds constantly evolve according to new information and fashions with consequent changing health/disorder profiles over time. This introduces uncertainty. With an average generation interval of 4.1 years in dogs,4 it is clear that a study performed 20 years ago is describing dogs from 5 generations ago and therefore the results may no longer be valid for the current population. So we need to consider the recency of the studies.

Disorders are also rarely a yes/no binary proposition, much as we would like to believe in this simplistic ideal. Most disorders exist on a continuum across dimensions that include onset, severity, welfare impact and diagnostic thresholds. Indeed, many disorders, such as obesity, are scored as a continuous outcome which then allow researchers to select cut-offs that assign disease status to varying levels of overweight and obesity.5 This introduces uncertainty.

The VetCompass Programme at the Royal Veterinary College in London collects anonymised clinical record data on 3 million dogs from a network of 500 UK practices.6 VetCompass research has identified that dogs are subject to diagnosis of a wide array of disorders; 430 distinct disorder were recorded in one study.7 Disorders with the highest prevalence overall were otitis externa (10.2%, 95% CI: 9.1–11.3), periodontal disease (9.3%, 95% CI: 8.3–10.3) and anal sac impaction (7.1%, 95% CI: 6.1–8.1); certainly not the high-profile disorders that often get discussed in relation to canine health. Purebred dogs had a significantly higher prevalence compared with crossbreds for just three of the twenty most-prevalent disorders: otitis externa (p=0.001), obesity (p=0.006) and skin mass lesion (p=0.033) (Table 1). The prevalence of five of the twenty most-prevalent diagnosis-level disorders differed statistically significantly between popular breeds: periodontal disease (p=0.002), overgrown nails (p=0.004), degenerative joint disease (p=0.005), obesity (p=0.001) and lipoma (p=0.003) (Table 2). This supports a substantial impact for breed on the disorder risk for individual dogs.

Recording and collection of accurate health and demographic data are essential for effective prioritisation and monitoring of important health issues across breeds. Individual veterinarians have an important role to play here. Large-scale data initiatives like VetCompass and insurance research get their information from veterinary practices and offer huge potential for health information that is representative of the cared-for pet populations. Veterinarians must recognize their crucial role in producing such data and do their best to record complete and accurate information. For example, when veterinarians accept respiratory abnormalities in brachycephalic breeds as 'normal for the breed' and therefore do not record them, then disorder prevalence estimates based on these data will not reflect the true situation.

Breed-specific prevalence and risk is both a science and an art: we live in an unprecedented era for the development of both.

Table 1. Prevalence results for the most frequent disorders recorded in dogs attending primary veterinary practices in England. p values compared purebreds and crossbreds. Reproduced from ref 7

 

Overall

Purebred

Crossbred

 

Disorder

No.

Preva%

95% CIb

Preva%

95% CIb

Preva%

95% CIb

p value

Otitis externa

396

10.2

9.1–11.3

11.2

10.0–12.4

6.5

4.7–8.3

0.001

Periodontal disease

361

9.3

8.3–10.3

9.4

8.2–10.5

9.2

7.4–11.0

1.000

Anal sac impaction

277

7.1

6.1–8.1

7.1

6.0–8.1

7.5

5.7–9.4

1.000

Overgrown nails

276

7.1

6.1–8.2

6.9

5.8–8.0

8.0

6.1–9.9

1.000

Degenerative joint disease

256

6.6

5.7–7.5

6.4

5.3–7.4

7.5

5.7–9.4

1.000

Diarrhoea

249

6.4

5.5–7.4

6.8

5.6–8.0

4.9

3.4–6.4

0.255

Obesity

238

6.1

5.2–7.1

6.7

5.6–7.9

3.9

2.3–5.5

0.006

Traumatic injury

214

5.5

4.7–6.4

5.5

4.4–6.5

5.7

3.6–7.7

1.000

Conjunctivitis

192

4.9

4.1–5.8

5.2

4.2–6.2

4.1

2.8–5.5

1.000

Vomiting

159

4.1

3.3 –4.9

4.0

3.1–4.9

4.5

3.0–6 .0

1.000

Heart murmur

153

3.9

3.3–4.5

4.1

3.5–4.7

3.4

2.1–4.7

1.000

Lipoma

137

3.5

2.8–4.2

3.5

2.7–4.2

3.8

2.7–4.9

1.000

Dermatitis

134

3.5

2.8–4.1

3.5

2.8–4.3

3.1

1.9–4.4

1.000

Skin hypersensitivity

113

2.9

2.3–3.5

3.2

2.5–3.9

1.8

0.9–2.6

0.116

Skin mass

110

2.8

2.3–3.4

3.2

2.6–3.8

1.5

0.6–2.4

0.033

Claw injury

103

2.7

2.1–3.2

2.6

2.0–3.2

2.6

1.5–3.8

1.000

Behavioural

99

2.6

2.1–3.0

2.6

2.1–3.1

2.4

1.4–3.4

1.000

Gastroenteritis

99

2.6

2.0–3.1

2.4

1.9–2.9

3.1

2.0–4.3

1.000

Dog bite injury

97

2.5

1.9–3.1

2.4

1.7–3.1

2.9

1.8–4.0

1.000

Laceration

92

2.4

1.8–2.9

2.5

1.8–3.1

2.0

1.1–2.9

0.446

aPrev prevalence
b95% CI 95% confidence interval

Table 2. Prevalence results for frequent disorders recorded in popular breeds attending primary veterinary practices in England. p values compare between breeds. Reproduced from ref 7

  Prevalence percentage (95% confidence interval) 

Disorder

Crossbred

Labrador retriever

Staffordshire bull terrier

Jack Russell terrier

Cocker spaniel

German shepherd dog

Yorkshire terrier

Border collie

p value

Otitis externa

6.5

11.8

9.9

6.9

8.3

11.4

7.9

1.9

0.084

Periodontal disease

9.2

3.2

2.4

9.5

12.8

4.5

25.2

6.7

0.002

Anal sac impaction

7.5

4.7

3.3

6.9

12.0

6.1

6.3

2.9

0.066

Overgrown nails

8.0

6.5

3.9

13.7

2.3

1.5

15.0

1.0

0.004

Degenerative joint disease

7.5

11.5

5.4

4.2

1.5

6.8

1.6

11.5

0.005

Diarrhoea

4.9

8.3

4.8

4.6

9.8

8.3

5.5

7.7

1.000

Obesity

3.9

13.0

6.0

5.3

8.3

2.3

0.8

6.7

0.001

Traumatic injury

5.7

5.3

4.5

6.1

5.3

4.6

3.2

4.8

1.000

Conjunctivitis

4.1

4.1

5.1

4.2

6.8

0.0

7.1

4.8

1.000

Vomiting

4.5

3.8

3.9

5.7

2.3

4.6

3.2

1.9

1.000

Heart murmur

3.4

1.5

2.7

3.8

3.8

1.5

7.1

4.8

0.837

Lipoma

3.8

9.1

2.1

2.7

6.0

1.5

2.1

5.8

0.003

Dermatitis

3.1

1.5

3.6

3.4

3.0

3.0

4.7

6.7

1.000

Skin hypersensitivity

1.8

3.8

5.1

3.1

1.5

3.0

3.2

2.9

1.000

Skin mass

1.5

3.2

3.9

2.3

3.8

3.0

2.4

3.0

1.000

Claw injury

2.6

3.8

3.6

2.7

2.3

3.0

3.9

2.9

1.000

Undesirable behaviour

2.4

3.0

2.7

1.5

3.0

7.6

2.4

5.8

0.208

Gastroenteritis

3.1

4.4

1.5

1.9

3.0

0.8

3.9

3.9

1.000

Dog bite injury

2.9

1.5

3.0

3.8

3.8

1.5

0.0

1.0

1.000

Laceration

2.0

3.5

2.4

2.7

3.0

0.8

1.6

2.9

1.000

References

1.  Thrusfield M. Veterinary Epidemiology. 3rd ed. Oxford: Blackwell Publishing; 2007:610 p.

2.  Dohoo I, Martin W, Stryhn H. Veterinary Epidemiologic Research. 2nd ed. Charlottetown, Canada: VER Inc; 2009.

3.  O'Neill DG, O'Sullivan AM, Manson EA, Church DB, Boag AK, McGreevy PD, et al. Canine dystocia in 50 UK first-opinion emergency-care veterinary practices: prevalence and risk factors. Veterinary Record. 2017; http://veterinaryrecord.bmj.com/content/early/2017/05/19/vr.104108.long (Published Online).

4.  Leroy G, Mary-Huard T, Verrier E, Danvy S, Charvolin E, Danchin-Burge C. Methods to estimate effective population size using pedigree data: examples in dog, sheep, cattle and horse. Genetics Selection Evolution. 2013;45(1):1.

5.  Corbee RJ. Obesity in show dogs. Journal of Animal Physiology and Animal Nutrition. 2013;97(5):904–10.

6.  VetCompass. VetCompass: Health surveillance for UK companion animals London: RVC Electronic Media Unit; 2017 [Available from: http://www.rvc.ac.uk/VetCOMPASS/.

7.  O'Neill DG, Church DB, McGreevy PD, Thomson PC, Brodbelt DC. Prevalence of disorders recorded in dogs attending primary-care veterinary practices in England. PLoS One. 2014;9(3):1–16.

 

Speaker Information
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Dan G. O'Neill, MVB, BSc(hons), GPCert(SAP), GPCert(FelP), GPCert(Derm), GPCert(B&PS), MSc(VetEpi), PhD, MRCVS
Veterinary Epidemiology, Economics and Public Health
The Royal Veterinary College
North Mymms, Hatfield, Hertfordshire, UK


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