Measurement of Association and Impact. Attributable Risk Attributable Risk in Exposed Population Attributable risk

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Measurement of Association and Impact Attributable Risk Attributable Risk in Exposed Population Attributable risk

Attributable Risk (AR) - Measures of association based on the absolute difference between two risk estimates - Used to imply causal-effect relationship Caution: - interpreted as a true etiologic fraction - causal relationship between exposure and outcome

Attributable Risk in Exposed (ARexp) - Measures the excess risk for a given Exp level associated with the Exp - Different Exp levels - Referent Exp levels q + incidence in exposed q - incidence in unexposed AR exp = q + - q - Caution: - most Exp effects are cumulative - cessation of Exp usualy does not reduce the risk in Exp = risk in non-exp - prevention rather than cessation

Percent Attributable Risk (%AR exp ) - Percentage of the total risk in the exposed attributable to the exposure - %AR exp = {q + - q - } x 100 q + - Concept of percent efficacy in assessing vaccine

Population Attributable Risk (Pop AR) - Measures the proportion of the disease risk in the total population associated with Exp - When q + incidence in exposed incidence in unexposed q - p e exposure prevalence in the population 1- p e non-exposure prevalence Risk in the total population (q pop ) = weight sum of risks in the Exp and NonExp = [q + x p e ] + [q - x (1- p e )] Pop AR = q pop - q-

- Exposure cessation would decrease q pop to the risk of NonExp (if it is causal relationship and Exp can be completely reversible) - Pop AR expressed in percentage %Pop AR is = [(q pop - q - ) / q pop ] x 100

Example of Integrating all Measurements You are in charge of health prevention - Want to reduce automobile-related deaths - Have a limited budget - Conduct a cohort study to examine causes

Relative Risk of Automobile-related Death Driving too fast 5.0 times more likely to die than those who drove not too fast Driving while drunk 10.7 times more likely to die than those who drove without drunk

Cohort Study Risk Difference For a cohort study: Risk difference = Risk exposed - Risk unexposed

Automobile Deaths, Country A Dead Not dead Risk Risk Difference Fast Slow 100 1900 80 7920 2000 8000 0.050 0.010 0.050-0.010 = 0.040 180 9820 10000 Dead Not dead Drunk Not Drunk 45 255 135 9565 300 9700 0.150 0.014 0.150-0.014 = 0.136 180 9820 10000

Attributable Risk Percent Also called "attributable fraction among the exposed" and "etiologic fraction (if causal relationship) Proportion of cases in the exposed group presumably attributed to the exposure What proportion of drunk drivers had an automobile related death because they were drunk? ARP = (Risk = (RR - 1)/RR exposed - Riskunexposed )/Riskexposed Only appropriate if RR > 1.0

Fast Slow Automobile Drivers Dead Not dead 100 80 1900 7920 2000 8000 Risk 0.050 0.010 %AR Riskexposed-Riskunexposed Riskexposed 0.050-0.010 0.050 =.04.05 =80% 180 9820 10000 Dead Not dead Drunk Not Drunk 45 255 135 9565 300 9700 0.150 0.014 =91% 180 9820 10000

Conclude Percentage of a disease that may be eliminated among those with the risk factor if the effects of the risk factor can be completely removed. Among fast drivers who had an automobile-related death, 80% presumably died because they were driving too fast Among drunk drivers who had an automobile-related death, 91% presumably died because they were drunk

Case-Control Study Attributable Risk Percent For case-control study, can't calculate risk! If the odds ratio is an approximation of the relative risk (rare disease assumption), then %AR = (OR - 1.0) / OR

Prevented Fraction in the Exposed Group (Vaccine Efficacy) Risk ratio is <1.0 Proportion of potential new cases which would have occurred if the exposure had been absent or Proportion of potential cases prevented by the exposure PF=(Risk unexposed - Risk exposed ) / Riskunexposed = 1 - RR

Measles and Vaccination Status Texarcana, USA, 1970 Vaccine No vaccine Measles No measles 27 6323 512 4323 539 10646 6350 4835 11185 Risk/1000 4.2 105.9 Relative Risk 0.04 Vaccine efficacy = (Riskunexposed-Riskexposed)/Riskunexposed=1-RR =(105.9-4.2)/105.9 = 0.96 = 1-0.04 Conclude: 96% of the cases that would have occurred among the vaccinated group had they not been vaccinated were prevented by vaccination

Population Attributable Risk Also called population attributable Fraction (assumption of etiology) Proportion of cases in entire population presumably attribtuable to the exposure What proportion of automobile-related deaths were due to drunk driving?

Calculation of PopAR (Riskoverall - Riskunexposed)/Riskoverall (Pc)(Riskexposed - Riskunexposed)/Riskexposed (Pc)(Attributable Risk Percent) (Pc)(RR-1)/RR P(RR-1)/((P(RR-1) + 1) Where P = proportion of population exposed Pc= proportion of cases exposed

Cohort Study Pop AR: Driving Speed Dead Not dead Fast 100 1900 2000 Slow 80 7920 8000 Risk unexposed=80/8000=0.010 180 9820 10000 Risk overall=180/10000=0.018 PopAR=(Riskoverall-Riskunexposed)/Riskoverall = (0.018-0.010) / 0.018 = 44%

Pop AR: Drunk Driving Dead Not dead Drunk 45 255 300 Not Drunk 135 9565 9700 Risk unexposed=135/9700=0.014 180 9820 10000 Risk overall=180/10000=0.018 PopAR=(Riskoverall-Riskunexposed)/Riskoverall = (0.018-0.014) / 0.018 = 22%

Conclude Percentage of the risk in a population that is associated with the exposure to a risk factor 44% of the driving-related deaths were presumably due to driving too fast 22% of the driving-related deaths were presumably due to drunk driving

Case-Control Study Population Attributable Risk Cohort study: Pop AR=P(RR-1)/(P(RR-1)+1) where P=proportion of population exposed If OR approximates RR (rare disease) and assume that the proportion of controls exposed approximates the proportion of the population exposed, then Pop AR=Pcontrol(OR-1)/(Pcontrol(OR-1)+1) where Pcontrol=proportion of controls exposed

Summary Fast Driving Drunk Driving Relative risk 5.0 10.7 Risk difference 4% 14% Attributable risk 80% 91% % all drivers with risk 20% 3% Population attributable risk 44% 22%

Measure of association Measure of impact Question RR / OR Yes No How much the association could be? Risk difference Yes Yes What is the excess risk between exposed and unexposed persons? Attributable risk No Yes What proportion of the exposed persons had an outcome presumably due to the exposure? What proportion of persons Population attributable risk No Yes in the total population had the outcome presumably because of the exposure?

What is the Appropriate Measure? "Why should I quit smoking? My friend had lung cancer and she never smoked?" "He got lung cancer. But he probably would have gotten lung cancer anyway even if he didn't smoke." "Should I fly on Air India or British Airlines?"

At beginning of the study Developed CHD Outcome Did not develop CHD Healthy smokers Healthy non-smokers 84 87 2,916 4,913 The incidence of CHD among smokers is: The relative risk for CHD in smokers compared to non smokers is: The incidence of CHD that can be attributed to smoking is: The proportion of the total incidence of CHD in smokers that is attributable to smoking is:

At beginning of the study Developed CHD Outcome Did not develop CHD Healthy smokers Healthy non-smokers 84 87 2,916 4,913 The incidence of CHD among smokers is: 28/1000 The relative risk for CHD in smokers compared to non smokers is: 1.61 The incidence of CHD that can be attributed to smoking is: 11/1,000 The proportion of the total incidence of CHD in smokers that is attributable to smoking is: 37.9%