11/5 thursday incidence, prevalence, sensitivity, specificity, positive predictive value, negative predictive value

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vm 709 csu

46 Terms

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what is a diagnostic?

a diagnostic test is any device or process designed to detect or quantify a sign, substance, tissue change, or body response in an animal

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examples of diagnostics for virology:

  • virus isolation (VI)

  • hemagglutination inhibition (HI)

  • fluorescent antibody (FA)

  • PCR

  • agar gel immunodiffusion (AGID)

  • enzyme linked immusorbent assay (ELISA)

  • serum neutralization (SN)


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infection does NOT equal…

…dz

  • what is the cut off point in dz dx between healthy vs dz animals?


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course of infection consists of 2 stages, _ and _

prepathogenesis & pathogenesis

pathogenesis includes:

  • multiplication

  • tissue and physiologic changes

  • signs/symptoms

  • illness

  • disability

  • defect

  • chronic state → death


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prevalence is

the proportion of a population that has a particular condition at a given point in time

“how common” something is - if 10 of 100 people have a condition, prevalence = 10%

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what does prevalence help us understand?

the burden of a condition in a population and can inform healthcare planning, resource allocation, and research

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incidence is

the number (or proportion of new cases of a conditioner that occur in a population over a specific period of time)

  • very dynamic → worry about the incidence RATE

  • fatalities NOT COUNTED

ex: if 5/10 sick, and 2 die, then 3/8 = incidence rate %. if 2 more get sick, then 5 total are sick, and incidence rate = 5/8%


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incidence helps us understand…

…the risk of developing a condition and the speed at which it is occurring in a population over time

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isues in animal disease diagnosis:

  1. sensitivity vs specificity

  2. presence of false +s / -s

  3. some experts claim there is not perfect diagnostic test


<ol><li><p>sensitivity vs specificity</p></li><li><p>presence of false +s / -s</p></li><li><p>some experts claim there is not perfect diagnostic test</p></li></ol><p></p>
10
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test categories for a veterinarian

  • screening tests (for clinically healthy animals)

  • confirmatory/diagnostic tests (for clinically disease animals)

sometimes use both at a time, consider cost!


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screening test characteristics

  • cheap

  • detects numerous possible cases of disease, less specific for IDing real cases

  • fast, reasonably accurate

  • not meant to supply complete info abt patho

  • need follow up w confirmatory/diagnostic test


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confirmatory/diagnostic test characteristics

  • tests for clin dzd animals

  • to confirm diagnosis or classify dz status among animals suspected to have dz


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a rabies test is (how specific)?

highly specific (basically no false positives)

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qualities of a test are

  1. precision and (reproducibility, reliability, repeatability)

  2. validity (accuracy)


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goals in using diagnostics:

  • establish dx in symptomatic Patients

  • provide prognosis

  • guide treatment/control strats

  • monitor treatment effects


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what can cause variation in results?

  • variation w/in ani subjects

  • variation in reading of test results by same reader (measuring tool)

  • variation betw those reading test results


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data layout for test evaluation

true disease status (+ or -) along horizontal

diagnostic test (+ or -) along vertical

<p>true disease status (+ or -) along horizontal</p><p>diagnostic test (+ or -) along vertical</p>
18
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validity is expressed in what four dimensions?

  1. sensitivity

  2. specificity

  3. PPV

  4. NPV


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the “gold standard” for diagnostic tests is

a diagnostic test or benchmark that is best, available under reasonable conditions

  • the criterion standard


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sensitivity of a test is

the probability of the test to generate positive results among animals that actually possess the disease

  • (true positive) / (true pos + false neg)

  • a / (a+c)


<p>the probability of the test to generate positive results among animals that actually possess the disease</p><ul><li><p>(true positive) / (true pos + false neg)</p></li><li><p>a / (a+c)</p></li></ul><p></p>
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specificity of a test is

the probability of a test to generate negative results among animals that are genuinely free of the disease

  • true negative / (false pos + true neg)

  • d / (b+d)


<p>the probability of a test to generate negative results among animals that are genuinely free of the disease</p><ul><li><p>true negative / (false pos + true neg)</p></li><li><p>d / (b+d)</p></li></ul><p></p>
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true positive means

positive result in diseased animal

  • actual infection


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false negative means

negative result in diseased animal

  • natural or induced tolerance

  • improper timing

  • improper test

  • non-specific inhibitors

  • toxic substances

  • antibiotic induced

  • immunoglobulin suppression

  • incomplete or blocking antibody

  • insensitive tests


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false positive means

positive result in non-diseased animal

  • group cross rxn

  • non-specific inhibitors

  • non-specific agglutinins


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true negative means

negative results in an animal with no disease

  • absence of infection


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what happens when you increase the sensitivity of the test (too far)?

end up getting false positives

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when should you select a test with high sensitivity?

  • when missing a dzd ani would be costly or dangerous (ex: foot and mouth)

  • when screening for a dz or patho in imported animal

  • demonstration of absence of a dz in a dz-free zone


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what happens when you increase the specificity of the test?

increased false negatives

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when to select a test with high specificity?

  • when confirming a diagnosis

  • when inc false positives would cause physical, emotional, or financial damages

    • ex: don’t want to say “dog has osteosarcoma” and then “oops nvm he doesn’t” → want a specific test for this


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positive predictive value answers the question

“if the test result if positive, what is the prob that the ani actually has the dz?”

  • horizontal row: a / (a+b) = PPV


<p>“if the test result if positive, what is the prob that the ani actually has the dz?”</p><ul><li><p>horizontal row: a / (a+b) = PPV</p></li></ul><p></p>
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negative predictive value answers the question

“if the test result if negative, what is the probability that the animal does NOT have the dz?”

  • horizontal row: d / (c+d) = NPV


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if you use a test in a population where the dz is more prevalent,

the PPV is increased, and the NPV is decreased

  • basically, more likely that a positive result = actually dzd ani


33
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predictive value is dictated by…

…the population, NOT the test

  • when dz is rare, false + make up a larger share of the + tests


34
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nidality of dz is

  • tendency for a dz to remain localized w/in specific ecological “nest”

“certain zoonotic dz persist in specific natural landscapes, bc pathos, vectors, and ani reservoirs all live together in that ecosystem”

35
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factors impacting ecology of parasitic infectious dz

  • role in ecosystems/food webs

  • host specificity

  • habitate preference/niche/anatomic location

  • parasite communities and competition

  • adaptations


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ecology is

the study of relationships betw orgs and their enviros

  • factors regulating #s and distributions

  • sometimes enviro is another org…


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a host is a…

…rich, nutrient-dense environment

  • most animals have body fluids containing, prots/AAs, carbs, NA precursors, etc

  • parasites exploit their living enviro


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why do adaptations come about in parasites?

so the lifestage can better survive abiotic conditions existing between hosts

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does hosts adapt?

hosts adapt (move, and defend themselves)

  • ex: immune rxns


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a nidus is

a specific ecological niche, hab, or geographic focus

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nidus is derived from Latin word for

“nest” or “breeding place”

  • refers to where microbes are located and multiply


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a parasite’s ecological niche provides resources from…

…the body of the host OR

…the abiotic conditions encountered by the transmission stages (like eggs, cysts, oocysts, spores, or juveniles)

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one medicine

human med + vet med

  • collab

  • common physiological and pathological foundations

  • zoonoses are a focus


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one health

humans + anis + plants + ecosystems/environment

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key facts of one health

  1. hum/ani/eco all interlinked

  2. links demand COLLABORATION, comm, coord

  3. OH optimizes health of all involved

  4. > 60% of emerging infectious dzs reported globally come from anis

  5. human activities and stressed ecosystems have created new opportunities for dz spread

  6. stressors include: animal trade, ag, livestock farming, urbanization, extractive industries, climate change, hab fragmentation, and encroachment into wild areas


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encounter and compatibility filters