SlideShare a Scribd company logo
1 of 26
Milo Puhan, MD, PhD
Professor of Epidemiology & Public Health
University of Zurich, Switzerland
Johns Hopkins University, USA
Individual Risk Stratification
BRN – AJRCCM Workshop
Personalized Respiratory Medicine
Barcelona, June 13, 2014
Will this drug be beneficial for a specific individual?
-20% COPD exacerbations
Insomnia + 300%
Anxiety + 200%
Depression + 180%
Diarrhea + 300%
Nausea + 300%
Weight loss + 400%
Headache + 200%
Dizziness + 300%
Excess of
How to apply these results to individual patients?
-20% COPD exacerbations
Acute pancreatitis + 500% ?
Insomnia + 300%
Anxiety + 200%
Depression + 180%
Suicide + 500% ?
Diarrhea + 300%
Nausea + 300%
Weight loss + 400%
Headache + 200%
Dizziness + 300%
Excess of
Patient 1
Lung function ↓
≤ 1 exacerbation/y
Chronic GI problems
Mild depression
Patient 2
Lung function ↓↓
≥2 exacerbations/y
No GI problems
Mild depression
Don‘t use drug Worth a try?
Individuals have unique combinations of characteristics
Patient 1 ↓ ↓ ↓ ↑ Exacerb.↓ Exacerb.↓ ↑ ↑
Patient 2 ↓↓ ↑ ↓ ↓ Exacerb.↓ Exacerb. ↑ ↓ ↑
Patient 3 ↓↓ ↑ ↑ ↓ Exacerb.↑ Exacerb. ↑ ↑ ↑
Patient …
Individuals have unique combinations of characteristics
Patient 1 ↓ ↓ ↓ ↑ Exacerb
↓
Exacerb
↓
↑ ↑
Patient 2 ↓↓ ↑ ↓ ↓ Exacerb
↓
Exacerb
↓
↓ ↑
Patient 3 ↓↓ ↑ ↑ ↓ Exacerb
↑
Exacerb
↑
↑ ↑
Patient
…
Current practice of estimating benefits vs. harms
Evidence on
treatment effects
Patient values &
preferences
Determinants of outcome risks &
treatment effects
Exacerbations
Favors
treatment
Favors
control
0.5 0.7 1 1.5 2
Favors
treatment
Favors
control
Nausea
0.001 0.1 1 10 1000
Favors
treatment
Favors
control
Diarrhea
0.1 0.2 0.5 1 2 5 10
RCT control
group event
rates (e.g. 20%
in 1 year)
NNT: 25
NNH: 5
 May be worth a try
 Much uncertainty
since oversimplified:
Single outcome risks
Few outcomes
Implicit preferences
Evidence on
treatment effects
Patient values &
preferences
<1
1-5
6-10
11-15
16-20
21-30
61-80
>80
<1 1-3 3-5 6-10 11-15 16-20 21-25 26+
Determinants of outcome risks &
treatment effects
Combine 3 key ingredients and use modern technology
How can we get there?
Personalized through risk
stratification and preferences
Based on your individual characteristics and what
is important for you
<1
1-5
6-10
11-15
16-20
21-30
61-80
>80
<1 1-3 3-5 6-10 11-15 16-20 21-25 26+
The chance that you will
benefit from drug X is
very low
(nine out of ten patients
like you will experience
more harm than benefit)
Your risk for a hospital admission
because of COPD
Your risk for
experiencing
severe side
effects
Evidence on
treatment effects
Patient values &
preferences
<1
1-5
6-10
11-15
16-20
21-30
61-80
>80
<1 1-3 3-5 6-10 11-15 16-20 21-25 26+
Determinantsof outcome risks &
treatment effects
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
Well-defined translational paths
Exacerbations
Favors
treatment
Favors
control
0.5 0.7 1 1.5 2
<1
1-5
6-10
11-15
16-20
21-30
61-80
>80
<1 1-3 3-5 6-10 11-15 16-20 21-25 26+
Multidimensional
assessments
- A quickly
emerging field
RCTs
Registries
Observational studies
Surveys (preferences)
Observational studies
(prognosis)
Various methods
Outcome risks
Estimates of effect
Absolute effects
Benefit harm
analysis
Importance of
Outcomes
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
Guo et al. Value Health 2010, 13(5):657–666.
Puhan et al. BMC Med Res Meth 2012, 12:173
Boyd, et al. AHRQ 2012 .12(13)-EHC150-EF
FDA PDUFA V Plan (FY 2013-2017)
Approaches for benefit harm assessment
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
Decision making
context?
Simulation to consider statistical uncertainty of
effects and incidence rates
<1
1-5
6-10
11-15
16-20
21-30
61-80
>80
<1 1-3 3-5 6-10 11-15 16-20 21-25 26+
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
Based on your individual characteristics and what
is important for you
<1
1-5
6-10
11-15
16-20
21-30
61-80
>80
<1 1-3 3-5 6-10 11-15 16-20 21-25 26+
The chance that you will
benefit from drug X is
very low
(nine out of ten patients
like you will experience
more harm than benefit)
Your risk for a hospital admission
because of COPD
Your risk for
experiencing
severe side
effects
Age 45-54 Age 55-64 Age 65-74 Age 75-84
10-year risk of ischemic stroke: 0%-5% 10-year risk of ischemic stroke: 0%-5% 10-year risk of ischemic stroke: 0%-5% 10-year risk of ischemic stroke: 0%-5%
10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50%
30%-40% 30%-40% 30%-40% 30%-40%
20%-30% 20%-30% 20%-30% 20%-30%
15%-20% 15%-20% 15%-20% 15%-20%
10%-15% 10%-15% 10%-15% 10%-15%
5%-10% 5%-10% 5%-10% 5%-10%
1%-5% 1%-5% 1%-5% 1%-5%
0%-1% 0%-1% 0%-1% 0%-1%
0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30%
10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of MI
10-year risk of ischemic stroke: 5%-10% 10-year risk of ischemic stroke: 5%-10% 10-year risk of ischemic stroke: 5%-10% 10-year risk of ischemic stroke: 5%-10%
10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50%
30%-40% 30%-40% 30%-40% 30%-40%
20%-30% 20%-30% 20%-30% 20%-30%
15%-20% 15%-20% 15%-20% 15%-20%
10%-15% 10%-15% 10%-15% 10%-15%
5%-10% 5%-10% 5%-10% 5%-10%
1%-5% 1%-5% 1%-5% 1%-5%
0%-1% 0%-1% 0%-1% 0%-1%
0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30%
10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of MI
10-year risk of ischemic stroke: 10%-15% 10-year risk of ischemic stroke: 10%-15% 10-year risk of ischemic stroke: 10%-15% 10-year risk of ischemic stroke: 10%-15%
10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50%
30%-40% 30%-40% 30%-40% 30%-40%
20%-30% 20%-30% 20%-30% 20%-30%
15%-20% 15%-20% 15%-20% 15%-20%
10%-15% 10%-15% 10%-15% 10%-15%
5%-10% 5%-10% 5%-10% 5%-10%
1%-5% 1%-5% 1%-5% 1%-5%
0%-1% 0%-1% 0%-1% 0%-1%
0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30%
10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of MI
10-year risk of ischemic stroke: 15%-20% 10-year risk of ischemic stroke: 15%-20% 10-year risk of ischemic stroke: 15%-20% 10-year risk of ischemic stroke: 15%-20%
10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50%
30%-40% 30%-40% 30%-40% 30%-40%
20%-30% 20%-30% 20%-30% 20%-30%
15%-20% 15%-20% 15%-20% 15%-20%
10%-15% 10%-15% 10%-15% 10%-15%
5%-10% 5%-10% 5%-10% 5%-10%
1%-5% 1%-5% 1%-5% 1%-5%
0%-1% 0%-1% 0%-1% 0%-1%
0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30%
10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of MI
10-year risk of ischemic stroke: 20%-25% 10-year risk of ischemic stroke: 20%-25% 10-year risk of ischemic stroke: 20%-25% 10-year risk of ischemic stroke: 20%-25%
10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50%
30%-40% 30%-40% 30%-40% 30%-40%
20%-30% 20%-30% 20%-30% 20%-30%
15%-20% 15%-20% 15%-20% 15%-20%
10%-15% 10%-15% 10%-15% 10%-15%
5%-10% 5%-10% 5%-10% 5%-10%
1%-5% 1%-5% 1%-5% 1%-5%
0%-1% 0%-1% 0%-1% 0%-1%
0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30%
10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of MI
10-year risk of ischemic stroke: 25%-30% 10-year risk of ischemic stroke: 25%-30% 10-year risk of ischemic stroke: 25%-30% 10-year risk of ischemic stroke: 25%-30%
10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50%
30%-40% 30%-40% 30%-40% 30%-40%
20%-30% 20%-30% 20%-30% 20%-30%
15%-20% 15%-20% 15%-20% 15%-20%
10%-15% 10%-15% 10%-15% 10%-15%
5%-10% 5%-10% 5%-10% 5%-10%
1%-5% 1%-5% 1%-5% 1%-5%
0%-1% 0%-1% 0%-1% 0%-1%
0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30%
10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of MI
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
Moderate or severe
exacerbation
Acute pancreatitis
Insomnia
Anxiety
Depression
Suicide (completed)
Diarrhea
Nausea
Weight loss
Headache
Dizziness
Benefits and harms of roflumilast
Yu T, Fain K, Boyd CM, Singh S, Weiss CO, Li T, Varadhan R, Puhan MA. Thorax 2014, doi: 10.1136
FDApivotal and
safety pool
COPD observational studies
Placebo groups of RCTs
Survey (preferences)
Observationalstudies
(clustering events)
Outcome risks
Estimates of effect
Absolute effects
Benefit harm
analysis
Importance of
Outcomes
Lab research
Synthesisand
multidimensional
assessment
Epidemiological &
Clinical research
Net benefit-harm index* per 10,000 patients treated over 1 year by patient profiles
Type of analysis
Patients' projected 1-year risk of having ≥1 moderate or severe
COPD exacerbation
30% 60% 90%
Men Women Men Women Men Women
Age
<65 ≥65 <65 ≥65 <65 ≥65 <65 ≥65 <65 ≥65 <65 ≥65
Analysis I:
Equal weights
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Analysis II:
Weights based on importance of
outcomes
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Analysis III (main analysis):
Weights based on importance and
co-occurrence of harm outcomes
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Probability that roflumilast overall beneficial
Yu T, Fain K, Boyd CM, Singh S, Weiss CO, Li T, Varadhan R, Puhan MA. Thorax 2014, doi: 10.1136
Lab research
Synthesisand
multidimensional
assessment
Epidemiological &
Clinical research
Probability that
roflumilast is
beneficial
Prevention of severe exacerbations (requiring admission)
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
Yu T, et al. Thorax 2013, doi: 10.1136
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
Well-defined translational paths
Exacerbations
Favors
treatment
Favors
control
0.5 0.7 1 1.5 2
<1
1-5
6-10
11-15
16-20
21-30
61-80
>80
<1 1-3 3-5 6-10 11-15 16-20 21-25 26+
Great importance of risk prediction
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
<1
1-5
6-10
11-15
16-20
21-30
61-80
>80
<1 1-3 3-5 6-10 11-15 16-20 21-25 26+
Mortality: BODE, ADO, HADO, Briggs
Exacerbations: DOSE, SAFE, Briggs
Health status: HADO, Siebeling
Harm outcomes: COPD observational
studies, RCT control groups, registries
Prediction models of the future?
Rigorous evaluation is critical
Mean predicted risk: 10.5%
Mean observed risk: 8.2%
HL: p<0.0001
0
10
20
30
40
Observed risk
of acute renal
failure in %
0 10 20 30 40
Predicted risk of acute
renal failure in %
0.00
0.25
0.50
0.75
1.00
Sensitivity
0.00 0.25 0.50 0.75 1.00
1 - Specificity
Area under curve
0.76 (95% CI 0.71-0.81)
<1
1-5
6-10
11-15
16-20
21-30
31-40
>40
10 year
risk for
severe GI
bleed
10 year risk for MI
<1 1-3 3-5 6-10 11-15 16-20 21-25 26+
Current COPD
models
Current COPD
models
+ biomarkers
Current COPD
models
+ genetics
Only genetics
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
Model update with new predictors
(e.g. biomarkers) and correct re-classification
<1
1-5
6-10
11-15
16-20
21-30
31-40
>40
10 year
risk for
severe GI
bleed
10 year risk for MI
<1 1-3 3-5 6-10 11-15 16-20 21-25 26+
Manolio TA. N Engl J Med 2010;363:166-176.
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
Thomsen et al. JAMA. 2013;309(22):2353-2361
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
High CRP,
fibrinogen and/or
leukocyte count
0: 0.9%
1: 1.8%
2: 3.2%
3: 8.1%
Only biomarkers Added value of biomarkers
From uni- to multivariate associations
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
From associations of 3 biomarkers to risk prediction
From risk prediction to benefit harm prediction
Probability that
roflumilast is
beneficial
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
Testing
EBM 2.0: Focus on the individual
Exploring what is
important
Decision making
Based on your individual characteristics and what
is important for you
<1
1-5
6-10
11-15
16-20
21-30
61-80
>80
<1 1-3 3-5 6-10 11-15 16-20 21-25 26+
The chance that you will
benefit from drug X is
very low
(nine out of ten patients
like you will experience
more harm than benefit)
Your risk for a hospital admission
because of COPD
Your risk for
experiencing
severe side
effects
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research
 Maximizes benefit – minimizes
harms for individuals
 Links individual characteristics
(from molecular to composite
level) to treatment oucomes
Individual Risk Stratification
Personalized through risk
stratification and preferences
Based on your individual characteristics and what
is important for you
<1
1-5
6-10
11-15
16-20
21-30
61-80
>80
<1 1-3 3-5 6-10 11-15 16-20 21-25 26+
The chance that you will
benefit from drug X is
very low
(nine out of ten patients
like you will experience
more harm than benefit)
Your risk for a hospital admission
because of COPD
Your risk for
experiencing
severe side
effects
Evidence on
treatment effects
Patient values &
preferences
<1
1-5
6-10
11-15
16-20
21-30
61-80
>80
<1 1-3 3-5 6-10 11-15 16-20 21-25 26+
Determinantsof outcome risks &
treatment effects
Well-defined translational approach to make evidence-
based personalized respiratory medicine happen
Lab research
Synthesis and
multidimensional
assessment
Epidemiological &
Clinical research

More Related Content

Similar to Individual Risk Stratification

Men's Health & Primary Care: Improving Access and Outcomes
Men's Health & Primary Care: Improving Access and OutcomesMen's Health & Primary Care: Improving Access and Outcomes
Men's Health & Primary Care: Improving Access and OutcomesMen's Health Forum
 
Heaney vit d deficiency
Heaney vit d deficiencyHeaney vit d deficiency
Heaney vit d deficiencyJA Larson
 
Prostate cancer detection, UroLifts, Haematuria
Prostate cancer detection, UroLifts, HaematuriaProstate cancer detection, UroLifts, Haematuria
Prostate cancer detection, UroLifts, HaematuriaMarc Laniado
 
LUTS ADBOARD - UROLOGISTS' SLIDE DECK.pptx
LUTS ADBOARD - UROLOGISTS' SLIDE DECK.pptxLUTS ADBOARD - UROLOGISTS' SLIDE DECK.pptx
LUTS ADBOARD - UROLOGISTS' SLIDE DECK.pptxKaushalGoyal13
 
Urological Malignancies
Urological MalignanciesUrological Malignancies
Urological Malignanciesjehh87
 
Blood pressure market research study - November 2020
Blood pressure market research study - November 2020Blood pressure market research study - November 2020
Blood pressure market research study - November 2020Valencell, Inc
 
lawen mune mu
lawen mune mulawen mune mu
lawen mune muinojustin
 
Prostate Cancer or Not
Prostate Cancer or NotProstate Cancer or Not
Prostate Cancer or NotSiewhong Ho
 
Gastric Cancer 09.
Gastric Cancer 09.Gastric Cancer 09.
Gastric Cancer 09.Shaikhani.
 
Flipping the clinic: in home health monitoring using mobile phones
Flipping the clinic: in home health monitoring using mobile phonesFlipping the clinic: in home health monitoring using mobile phones
Flipping the clinic: in home health monitoring using mobile phonesEric Larson
 
5th Annual Early Age Onset Colorectal Cancer Summit - Session III
5th Annual Early Age Onset Colorectal Cancer Summit - Session III5th Annual Early Age Onset Colorectal Cancer Summit - Session III
5th Annual Early Age Onset Colorectal Cancer Summit - Session IIIColon Cancer Challenge Foundation
 
Scoring systems in liver disease
Scoring systems in liver diseaseScoring systems in liver disease
Scoring systems in liver diseaseKarthik Ponnappan T
 
Screening, Surveillance And Diagnosis Of Colorectal Cancer
Screening, Surveillance And Diagnosis Of Colorectal CancerScreening, Surveillance And Diagnosis Of Colorectal Cancer
Screening, Surveillance And Diagnosis Of Colorectal Cancerensteve
 

Similar to Individual Risk Stratification (20)

Men's Health & Primary Care: Improving Access and Outcomes
Men's Health & Primary Care: Improving Access and OutcomesMen's Health & Primary Care: Improving Access and Outcomes
Men's Health & Primary Care: Improving Access and Outcomes
 
Heaney vit d deficiency
Heaney vit d deficiencyHeaney vit d deficiency
Heaney vit d deficiency
 
CCSN EUPROMS.pptx
CCSN EUPROMS.pptxCCSN EUPROMS.pptx
CCSN EUPROMS.pptx
 
ovarian tumor
ovarian tumorovarian tumor
ovarian tumor
 
Prostate cancer detection, UroLifts, Haematuria
Prostate cancer detection, UroLifts, HaematuriaProstate cancer detection, UroLifts, Haematuria
Prostate cancer detection, UroLifts, Haematuria
 
LUTS ADBOARD - UROLOGISTS' SLIDE DECK.pptx
LUTS ADBOARD - UROLOGISTS' SLIDE DECK.pptxLUTS ADBOARD - UROLOGISTS' SLIDE DECK.pptx
LUTS ADBOARD - UROLOGISTS' SLIDE DECK.pptx
 
Urological Malignancies
Urological MalignanciesUrological Malignancies
Urological Malignancies
 
Blood pressure market research study - November 2020
Blood pressure market research study - November 2020Blood pressure market research study - November 2020
Blood pressure market research study - November 2020
 
lawen mune mu
lawen mune mulawen mune mu
lawen mune mu
 
Prostate Cancer or Not
Prostate Cancer or NotProstate Cancer or Not
Prostate Cancer or Not
 
Afaf Abdel Fattah Tawfik (NNI) • 2019 IFPRI Egypt - NNC Seminar: "the 100 mil...
Afaf Abdel Fattah Tawfik (NNI) • 2019 IFPRI Egypt - NNC Seminar: "the 100 mil...Afaf Abdel Fattah Tawfik (NNI) • 2019 IFPRI Egypt - NNC Seminar: "the 100 mil...
Afaf Abdel Fattah Tawfik (NNI) • 2019 IFPRI Egypt - NNC Seminar: "the 100 mil...
 
Gastric Cancer 09.
Gastric Cancer 09.Gastric Cancer 09.
Gastric Cancer 09.
 
VTE.Dr..Nasib
VTE.Dr..NasibVTE.Dr..Nasib
VTE.Dr..Nasib
 
Iora Health
Iora HealthIora Health
Iora Health
 
Flipping the clinic: in home health monitoring using mobile phones
Flipping the clinic: in home health monitoring using mobile phonesFlipping the clinic: in home health monitoring using mobile phones
Flipping the clinic: in home health monitoring using mobile phones
 
5th Annual Early Age Onset Colorectal Cancer Summit - Session III
5th Annual Early Age Onset Colorectal Cancer Summit - Session III5th Annual Early Age Onset Colorectal Cancer Summit - Session III
5th Annual Early Age Onset Colorectal Cancer Summit - Session III
 
Scoring systems in liver disease
Scoring systems in liver diseaseScoring systems in liver disease
Scoring systems in liver disease
 
Screening, Surveillance And Diagnosis Of Colorectal Cancer
Screening, Surveillance And Diagnosis Of Colorectal CancerScreening, Surveillance And Diagnosis Of Colorectal Cancer
Screening, Surveillance And Diagnosis Of Colorectal Cancer
 
Abdominal trauma
Abdominal traumaAbdominal trauma
Abdominal trauma
 
Emergency Laparotomy Collaborative: West of England
Emergency Laparotomy Collaborative: West of EnglandEmergency Laparotomy Collaborative: West of England
Emergency Laparotomy Collaborative: West of England
 

More from brnbarcelona

Revolutionizing Heathcare and Wellness Management through Systems P4 Medicine
Revolutionizing Heathcare and Wellness Management through Systems P4 MedicineRevolutionizing Heathcare and Wellness Management through Systems P4 Medicine
Revolutionizing Heathcare and Wellness Management through Systems P4 Medicinebrnbarcelona
 
Implications for the Health Care System
Implications for the Health Care SystemImplications for the Health Care System
Implications for the Health Care Systembrnbarcelona
 
Personalized medicine: an industry view
Personalized medicine: an industry viewPersonalized medicine: an industry view
Personalized medicine: an industry viewbrnbarcelona
 
Unbiased BIOmarkers for the PREDiction of respiratory disease outcome
Unbiased BIOmarkers for the PREDiction of respiratory disease outcomeUnbiased BIOmarkers for the PREDiction of respiratory disease outcome
Unbiased BIOmarkers for the PREDiction of respiratory disease outcomebrnbarcelona
 
MeDALL (Mechanisms of the Development of ALLergy): an integrated approach fro...
MeDALL (Mechanisms of the Development of ALLergy): an integrated approach fro...MeDALL (Mechanisms of the Development of ALLergy): an integrated approach fro...
MeDALL (Mechanisms of the Development of ALLergy): an integrated approach fro...brnbarcelona
 
Introduction to Network Medicine
Introduction to Network MedicineIntroduction to Network Medicine
Introduction to Network Medicinebrnbarcelona
 
From Systems Biology to Personalized Medicine: an epidemiological view
From Systems Biology to Personalized Medicine: an epidemiological viewFrom Systems Biology to Personalized Medicine: an epidemiological view
From Systems Biology to Personalized Medicine: an epidemiological viewbrnbarcelona
 
Integrative Bioinformatics
Integrative BioinformaticsIntegrative Bioinformatics
Integrative Bioinformaticsbrnbarcelona
 
From systems biology
From systems biologyFrom systems biology
From systems biologybrnbarcelona
 
Historical and ethical aspects of personalized medicine
Historical and ethical aspects of personalized medicineHistorical and ethical aspects of personalized medicine
Historical and ethical aspects of personalized medicinebrnbarcelona
 
Brn jm anto-11062014
Brn jm anto-11062014Brn jm anto-11062014
Brn jm anto-11062014brnbarcelona
 

More from brnbarcelona (11)

Revolutionizing Heathcare and Wellness Management through Systems P4 Medicine
Revolutionizing Heathcare and Wellness Management through Systems P4 MedicineRevolutionizing Heathcare and Wellness Management through Systems P4 Medicine
Revolutionizing Heathcare and Wellness Management through Systems P4 Medicine
 
Implications for the Health Care System
Implications for the Health Care SystemImplications for the Health Care System
Implications for the Health Care System
 
Personalized medicine: an industry view
Personalized medicine: an industry viewPersonalized medicine: an industry view
Personalized medicine: an industry view
 
Unbiased BIOmarkers for the PREDiction of respiratory disease outcome
Unbiased BIOmarkers for the PREDiction of respiratory disease outcomeUnbiased BIOmarkers for the PREDiction of respiratory disease outcome
Unbiased BIOmarkers for the PREDiction of respiratory disease outcome
 
MeDALL (Mechanisms of the Development of ALLergy): an integrated approach fro...
MeDALL (Mechanisms of the Development of ALLergy): an integrated approach fro...MeDALL (Mechanisms of the Development of ALLergy): an integrated approach fro...
MeDALL (Mechanisms of the Development of ALLergy): an integrated approach fro...
 
Introduction to Network Medicine
Introduction to Network MedicineIntroduction to Network Medicine
Introduction to Network Medicine
 
From Systems Biology to Personalized Medicine: an epidemiological view
From Systems Biology to Personalized Medicine: an epidemiological viewFrom Systems Biology to Personalized Medicine: an epidemiological view
From Systems Biology to Personalized Medicine: an epidemiological view
 
Integrative Bioinformatics
Integrative BioinformaticsIntegrative Bioinformatics
Integrative Bioinformatics
 
From systems biology
From systems biologyFrom systems biology
From systems biology
 
Historical and ethical aspects of personalized medicine
Historical and ethical aspects of personalized medicineHistorical and ethical aspects of personalized medicine
Historical and ethical aspects of personalized medicine
 
Brn jm anto-11062014
Brn jm anto-11062014Brn jm anto-11062014
Brn jm anto-11062014
 

Recently uploaded

Call Girls Kurnool Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Kurnool Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Kurnool Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Kurnool Just Call 8250077686 Top Class Call Girl Service AvailableDipal Arora
 
Jogeshwari ! Call Girls Service Mumbai - 450+ Call Girl Cash Payment 90042684...
Jogeshwari ! Call Girls Service Mumbai - 450+ Call Girl Cash Payment 90042684...Jogeshwari ! Call Girls Service Mumbai - 450+ Call Girl Cash Payment 90042684...
Jogeshwari ! Call Girls Service Mumbai - 450+ Call Girl Cash Payment 90042684...Anamika Rawat
 
Independent Call Girls In Jaipur { 8445551418 } ✔ ANIKA MEHTA ✔ Get High Prof...
Independent Call Girls In Jaipur { 8445551418 } ✔ ANIKA MEHTA ✔ Get High Prof...Independent Call Girls In Jaipur { 8445551418 } ✔ ANIKA MEHTA ✔ Get High Prof...
Independent Call Girls In Jaipur { 8445551418 } ✔ ANIKA MEHTA ✔ Get High Prof...parulsinha
 
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋TANUJA PANDEY
 
Call Girls Hosur Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Hosur Just Call 9630942363 Top Class Call Girl Service AvailableCall Girls Hosur Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Hosur Just Call 9630942363 Top Class Call Girl Service AvailableGENUINE ESCORT AGENCY
 
Top Rated Bangalore Call Girls Richmond Circle ⟟ 9332606886 ⟟ Call Me For Ge...
Top Rated Bangalore Call Girls Richmond Circle ⟟  9332606886 ⟟ Call Me For Ge...Top Rated Bangalore Call Girls Richmond Circle ⟟  9332606886 ⟟ Call Me For Ge...
Top Rated Bangalore Call Girls Richmond Circle ⟟ 9332606886 ⟟ Call Me For Ge...narwatsonia7
 
All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...
All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...
All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...Arohi Goyal
 
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service Available
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service AvailableCall Girls Gwalior Just Call 8617370543 Top Class Call Girl Service Available
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service AvailableDipal Arora
 
Call Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service AvailableCall Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service AvailableGENUINE ESCORT AGENCY
 
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any TimeTop Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any TimeCall Girls Delhi
 
Call Girls in Delhi Triveni Complex Escort Service(🔝))/WhatsApp 97111⇛47426
Call Girls in Delhi Triveni Complex Escort Service(🔝))/WhatsApp 97111⇛47426Call Girls in Delhi Triveni Complex Escort Service(🔝))/WhatsApp 97111⇛47426
Call Girls in Delhi Triveni Complex Escort Service(🔝))/WhatsApp 97111⇛47426jennyeacort
 
Call Girls Guntur Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Guntur  Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Guntur  Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Guntur Just Call 8250077686 Top Class Call Girl Service AvailableDipal Arora
 
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...jageshsingh5554
 
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...adilkhan87451
 
Russian Call Girls Service Jaipur {8445551418} ❤️PALLAVI VIP Jaipur Call Gir...
Russian Call Girls Service  Jaipur {8445551418} ❤️PALLAVI VIP Jaipur Call Gir...Russian Call Girls Service  Jaipur {8445551418} ❤️PALLAVI VIP Jaipur Call Gir...
Russian Call Girls Service Jaipur {8445551418} ❤️PALLAVI VIP Jaipur Call Gir...parulsinha
 
Call Girls Raipur Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Raipur Just Call 9630942363 Top Class Call Girl Service AvailableCall Girls Raipur Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Raipur Just Call 9630942363 Top Class Call Girl Service AvailableGENUINE ESCORT AGENCY
 
Call Girls Visakhapatnam Just Call 8250077686 Top Class Call Girl Service Ava...
Call Girls Visakhapatnam Just Call 8250077686 Top Class Call Girl Service Ava...Call Girls Visakhapatnam Just Call 8250077686 Top Class Call Girl Service Ava...
Call Girls Visakhapatnam Just Call 8250077686 Top Class Call Girl Service Ava...Dipal Arora
 
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...aartirawatdelhi
 
Top Rated Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...
Top Rated  Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...Top Rated  Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...
Top Rated Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...chandars293
 

Recently uploaded (20)

Call Girls Kurnool Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Kurnool Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Kurnool Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Kurnool Just Call 8250077686 Top Class Call Girl Service Available
 
Jogeshwari ! Call Girls Service Mumbai - 450+ Call Girl Cash Payment 90042684...
Jogeshwari ! Call Girls Service Mumbai - 450+ Call Girl Cash Payment 90042684...Jogeshwari ! Call Girls Service Mumbai - 450+ Call Girl Cash Payment 90042684...
Jogeshwari ! Call Girls Service Mumbai - 450+ Call Girl Cash Payment 90042684...
 
Independent Call Girls In Jaipur { 8445551418 } ✔ ANIKA MEHTA ✔ Get High Prof...
Independent Call Girls In Jaipur { 8445551418 } ✔ ANIKA MEHTA ✔ Get High Prof...Independent Call Girls In Jaipur { 8445551418 } ✔ ANIKA MEHTA ✔ Get High Prof...
Independent Call Girls In Jaipur { 8445551418 } ✔ ANIKA MEHTA ✔ Get High Prof...
 
Call Girls in Gagan Vihar (delhi) call me [🔝 9953056974 🔝] escort service 24X7
Call Girls in Gagan Vihar (delhi) call me [🔝  9953056974 🔝] escort service 24X7Call Girls in Gagan Vihar (delhi) call me [🔝  9953056974 🔝] escort service 24X7
Call Girls in Gagan Vihar (delhi) call me [🔝 9953056974 🔝] escort service 24X7
 
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls Bahadurpally 7877925207 ₹5000 To 25K With AC Room 💚😋
 
Call Girls Hosur Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Hosur Just Call 9630942363 Top Class Call Girl Service AvailableCall Girls Hosur Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Hosur Just Call 9630942363 Top Class Call Girl Service Available
 
Top Rated Bangalore Call Girls Richmond Circle ⟟ 9332606886 ⟟ Call Me For Ge...
Top Rated Bangalore Call Girls Richmond Circle ⟟  9332606886 ⟟ Call Me For Ge...Top Rated Bangalore Call Girls Richmond Circle ⟟  9332606886 ⟟ Call Me For Ge...
Top Rated Bangalore Call Girls Richmond Circle ⟟ 9332606886 ⟟ Call Me For Ge...
 
All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...
All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...
All Time Service Available Call Girls Marine Drive 📳 9820252231 For 18+ VIP C...
 
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service Available
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service AvailableCall Girls Gwalior Just Call 8617370543 Top Class Call Girl Service Available
Call Girls Gwalior Just Call 8617370543 Top Class Call Girl Service Available
 
Call Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service AvailableCall Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Ahmedabad Just Call 9630942363 Top Class Call Girl Service Available
 
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any TimeTop Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
Top Quality Call Girl Service Kalyanpur 6378878445 Available Call Girls Any Time
 
Call Girls in Delhi Triveni Complex Escort Service(🔝))/WhatsApp 97111⇛47426
Call Girls in Delhi Triveni Complex Escort Service(🔝))/WhatsApp 97111⇛47426Call Girls in Delhi Triveni Complex Escort Service(🔝))/WhatsApp 97111⇛47426
Call Girls in Delhi Triveni Complex Escort Service(🔝))/WhatsApp 97111⇛47426
 
Call Girls Guntur Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Guntur  Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Guntur  Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Guntur Just Call 8250077686 Top Class Call Girl Service Available
 
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
 
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
Russian Call Girls Lucknow Just Call 👉👉7877925207 Top Class Call Girl Service...
 
Russian Call Girls Service Jaipur {8445551418} ❤️PALLAVI VIP Jaipur Call Gir...
Russian Call Girls Service  Jaipur {8445551418} ❤️PALLAVI VIP Jaipur Call Gir...Russian Call Girls Service  Jaipur {8445551418} ❤️PALLAVI VIP Jaipur Call Gir...
Russian Call Girls Service Jaipur {8445551418} ❤️PALLAVI VIP Jaipur Call Gir...
 
Call Girls Raipur Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Raipur Just Call 9630942363 Top Class Call Girl Service AvailableCall Girls Raipur Just Call 9630942363 Top Class Call Girl Service Available
Call Girls Raipur Just Call 9630942363 Top Class Call Girl Service Available
 
Call Girls Visakhapatnam Just Call 8250077686 Top Class Call Girl Service Ava...
Call Girls Visakhapatnam Just Call 8250077686 Top Class Call Girl Service Ava...Call Girls Visakhapatnam Just Call 8250077686 Top Class Call Girl Service Ava...
Call Girls Visakhapatnam Just Call 8250077686 Top Class Call Girl Service Ava...
 
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
Night 7k to 12k Navi Mumbai Call Girl Photo 👉 BOOK NOW 9833363713 👈 ♀️ night ...
 
Top Rated Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...
Top Rated  Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...Top Rated  Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...
Top Rated Hyderabad Call Girls Chintal ⟟ 9332606886 ⟟ Call Me For Genuine Se...
 

Individual Risk Stratification

  • 1. Milo Puhan, MD, PhD Professor of Epidemiology & Public Health University of Zurich, Switzerland Johns Hopkins University, USA Individual Risk Stratification BRN – AJRCCM Workshop Personalized Respiratory Medicine Barcelona, June 13, 2014
  • 2. Will this drug be beneficial for a specific individual? -20% COPD exacerbations Insomnia + 300% Anxiety + 200% Depression + 180% Diarrhea + 300% Nausea + 300% Weight loss + 400% Headache + 200% Dizziness + 300% Excess of
  • 3. How to apply these results to individual patients? -20% COPD exacerbations Acute pancreatitis + 500% ? Insomnia + 300% Anxiety + 200% Depression + 180% Suicide + 500% ? Diarrhea + 300% Nausea + 300% Weight loss + 400% Headache + 200% Dizziness + 300% Excess of Patient 1 Lung function ↓ ≤ 1 exacerbation/y Chronic GI problems Mild depression Patient 2 Lung function ↓↓ ≥2 exacerbations/y No GI problems Mild depression Don‘t use drug Worth a try?
  • 4. Individuals have unique combinations of characteristics Patient 1 ↓ ↓ ↓ ↑ Exacerb.↓ Exacerb.↓ ↑ ↑ Patient 2 ↓↓ ↑ ↓ ↓ Exacerb.↓ Exacerb. ↑ ↓ ↑ Patient 3 ↓↓ ↑ ↑ ↓ Exacerb.↑ Exacerb. ↑ ↑ ↑ Patient …
  • 5. Individuals have unique combinations of characteristics Patient 1 ↓ ↓ ↓ ↑ Exacerb ↓ Exacerb ↓ ↑ ↑ Patient 2 ↓↓ ↑ ↓ ↓ Exacerb ↓ Exacerb ↓ ↓ ↑ Patient 3 ↓↓ ↑ ↑ ↓ Exacerb ↑ Exacerb ↑ ↑ ↑ Patient …
  • 6. Current practice of estimating benefits vs. harms Evidence on treatment effects Patient values & preferences Determinants of outcome risks & treatment effects Exacerbations Favors treatment Favors control 0.5 0.7 1 1.5 2 Favors treatment Favors control Nausea 0.001 0.1 1 10 1000 Favors treatment Favors control Diarrhea 0.1 0.2 0.5 1 2 5 10 RCT control group event rates (e.g. 20% in 1 year) NNT: 25 NNH: 5  May be worth a try  Much uncertainty since oversimplified: Single outcome risks Few outcomes Implicit preferences
  • 7. Evidence on treatment effects Patient values & preferences <1 1-5 6-10 11-15 16-20 21-30 61-80 >80 <1 1-3 3-5 6-10 11-15 16-20 21-25 26+ Determinants of outcome risks & treatment effects Combine 3 key ingredients and use modern technology
  • 8. How can we get there? Personalized through risk stratification and preferences Based on your individual characteristics and what is important for you <1 1-5 6-10 11-15 16-20 21-30 61-80 >80 <1 1-3 3-5 6-10 11-15 16-20 21-25 26+ The chance that you will benefit from drug X is very low (nine out of ten patients like you will experience more harm than benefit) Your risk for a hospital admission because of COPD Your risk for experiencing severe side effects Evidence on treatment effects Patient values & preferences <1 1-5 6-10 11-15 16-20 21-30 61-80 >80 <1 1-3 3-5 6-10 11-15 16-20 21-25 26+ Determinantsof outcome risks & treatment effects
  • 9. Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research Well-defined translational paths Exacerbations Favors treatment Favors control 0.5 0.7 1 1.5 2 <1 1-5 6-10 11-15 16-20 21-30 61-80 >80 <1 1-3 3-5 6-10 11-15 16-20 21-25 26+
  • 10. Multidimensional assessments - A quickly emerging field RCTs Registries Observational studies Surveys (preferences) Observational studies (prognosis) Various methods Outcome risks Estimates of effect Absolute effects Benefit harm analysis Importance of Outcomes Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research Guo et al. Value Health 2010, 13(5):657–666. Puhan et al. BMC Med Res Meth 2012, 12:173 Boyd, et al. AHRQ 2012 .12(13)-EHC150-EF FDA PDUFA V Plan (FY 2013-2017)
  • 11. Approaches for benefit harm assessment Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research Decision making context?
  • 12. Simulation to consider statistical uncertainty of effects and incidence rates <1 1-5 6-10 11-15 16-20 21-30 61-80 >80 <1 1-3 3-5 6-10 11-15 16-20 21-25 26+ Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research
  • 13. Based on your individual characteristics and what is important for you <1 1-5 6-10 11-15 16-20 21-30 61-80 >80 <1 1-3 3-5 6-10 11-15 16-20 21-25 26+ The chance that you will benefit from drug X is very low (nine out of ten patients like you will experience more harm than benefit) Your risk for a hospital admission because of COPD Your risk for experiencing severe side effects
  • 14. Age 45-54 Age 55-64 Age 65-74 Age 75-84 10-year risk of ischemic stroke: 0%-5% 10-year risk of ischemic stroke: 0%-5% 10-year risk of ischemic stroke: 0%-5% 10-year risk of ischemic stroke: 0%-5% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 30%-40% 30%-40% 30%-40% 30%-40% 20%-30% 20%-30% 20%-30% 20%-30% 15%-20% 15%-20% 15%-20% 15%-20% 10%-15% 10%-15% 10%-15% 10%-15% 5%-10% 5%-10% 5%-10% 5%-10% 1%-5% 1%-5% 1%-5% 1%-5% 0%-1% 0%-1% 0%-1% 0%-1% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of ischemic stroke: 5%-10% 10-year risk of ischemic stroke: 5%-10% 10-year risk of ischemic stroke: 5%-10% 10-year risk of ischemic stroke: 5%-10% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 30%-40% 30%-40% 30%-40% 30%-40% 20%-30% 20%-30% 20%-30% 20%-30% 15%-20% 15%-20% 15%-20% 15%-20% 10%-15% 10%-15% 10%-15% 10%-15% 5%-10% 5%-10% 5%-10% 5%-10% 1%-5% 1%-5% 1%-5% 1%-5% 0%-1% 0%-1% 0%-1% 0%-1% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of ischemic stroke: 10%-15% 10-year risk of ischemic stroke: 10%-15% 10-year risk of ischemic stroke: 10%-15% 10-year risk of ischemic stroke: 10%-15% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 30%-40% 30%-40% 30%-40% 30%-40% 20%-30% 20%-30% 20%-30% 20%-30% 15%-20% 15%-20% 15%-20% 15%-20% 10%-15% 10%-15% 10%-15% 10%-15% 5%-10% 5%-10% 5%-10% 5%-10% 1%-5% 1%-5% 1%-5% 1%-5% 0%-1% 0%-1% 0%-1% 0%-1% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of ischemic stroke: 15%-20% 10-year risk of ischemic stroke: 15%-20% 10-year risk of ischemic stroke: 15%-20% 10-year risk of ischemic stroke: 15%-20% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 30%-40% 30%-40% 30%-40% 30%-40% 20%-30% 20%-30% 20%-30% 20%-30% 15%-20% 15%-20% 15%-20% 15%-20% 10%-15% 10%-15% 10%-15% 10%-15% 5%-10% 5%-10% 5%-10% 5%-10% 1%-5% 1%-5% 1%-5% 1%-5% 0%-1% 0%-1% 0%-1% 0%-1% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of ischemic stroke: 20%-25% 10-year risk of ischemic stroke: 20%-25% 10-year risk of ischemic stroke: 20%-25% 10-year risk of ischemic stroke: 20%-25% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 30%-40% 30%-40% 30%-40% 30%-40% 20%-30% 20%-30% 20%-30% 20%-30% 15%-20% 15%-20% 15%-20% 15%-20% 10%-15% 10%-15% 10%-15% 10%-15% 5%-10% 5%-10% 5%-10% 5%-10% 1%-5% 1%-5% 1%-5% 1%-5% 0%-1% 0%-1% 0%-1% 0%-1% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of ischemic stroke: 25%-30% 10-year risk of ischemic stroke: 25%-30% 10-year risk of ischemic stroke: 25%-30% 10-year risk of ischemic stroke: 25%-30% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 10-year risk of severe GI bleeds40%-50% 30%-40% 30%-40% 30%-40% 30%-40% 20%-30% 20%-30% 20%-30% 20%-30% 15%-20% 15%-20% 15%-20% 15%-20% 10%-15% 10%-15% 10%-15% 10%-15% 5%-10% 5%-10% 5%-10% 5%-10% 1%-5% 1%-5% 1%-5% 1%-5% 0%-1% 0%-1% 0%-1% 0%-1% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 0%-1% 1%-3% 3%-5% 5%-10% 10%-15% 15%-20% 20%-25% 25%-30% 10-year risk of MI 10-year risk of MI 10-year risk of MI 10-year risk of MI Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research
  • 15. Moderate or severe exacerbation Acute pancreatitis Insomnia Anxiety Depression Suicide (completed) Diarrhea Nausea Weight loss Headache Dizziness Benefits and harms of roflumilast Yu T, Fain K, Boyd CM, Singh S, Weiss CO, Li T, Varadhan R, Puhan MA. Thorax 2014, doi: 10.1136 FDApivotal and safety pool COPD observational studies Placebo groups of RCTs Survey (preferences) Observationalstudies (clustering events) Outcome risks Estimates of effect Absolute effects Benefit harm analysis Importance of Outcomes Lab research Synthesisand multidimensional assessment Epidemiological & Clinical research
  • 16. Net benefit-harm index* per 10,000 patients treated over 1 year by patient profiles Type of analysis Patients' projected 1-year risk of having ≥1 moderate or severe COPD exacerbation 30% 60% 90% Men Women Men Women Men Women Age <65 ≥65 <65 ≥65 <65 ≥65 <65 ≥65 <65 ≥65 <65 ≥65 Analysis I: Equal weights 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Analysis II: Weights based on importance of outcomes 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Analysis III (main analysis): Weights based on importance and co-occurrence of harm outcomes 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Probability that roflumilast overall beneficial Yu T, Fain K, Boyd CM, Singh S, Weiss CO, Li T, Varadhan R, Puhan MA. Thorax 2014, doi: 10.1136 Lab research Synthesisand multidimensional assessment Epidemiological & Clinical research
  • 17. Probability that roflumilast is beneficial Prevention of severe exacerbations (requiring admission) Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research Yu T, et al. Thorax 2013, doi: 10.1136
  • 18. Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research Well-defined translational paths Exacerbations Favors treatment Favors control 0.5 0.7 1 1.5 2 <1 1-5 6-10 11-15 16-20 21-30 61-80 >80 <1 1-3 3-5 6-10 11-15 16-20 21-25 26+
  • 19. Great importance of risk prediction Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research <1 1-5 6-10 11-15 16-20 21-30 61-80 >80 <1 1-3 3-5 6-10 11-15 16-20 21-25 26+ Mortality: BODE, ADO, HADO, Briggs Exacerbations: DOSE, SAFE, Briggs Health status: HADO, Siebeling Harm outcomes: COPD observational studies, RCT control groups, registries
  • 20. Prediction models of the future? Rigorous evaluation is critical Mean predicted risk: 10.5% Mean observed risk: 8.2% HL: p<0.0001 0 10 20 30 40 Observed risk of acute renal failure in % 0 10 20 30 40 Predicted risk of acute renal failure in % 0.00 0.25 0.50 0.75 1.00 Sensitivity 0.00 0.25 0.50 0.75 1.00 1 - Specificity Area under curve 0.76 (95% CI 0.71-0.81) <1 1-5 6-10 11-15 16-20 21-30 31-40 >40 10 year risk for severe GI bleed 10 year risk for MI <1 1-3 3-5 6-10 11-15 16-20 21-25 26+ Current COPD models Current COPD models + biomarkers Current COPD models + genetics Only genetics Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research
  • 21. Model update with new predictors (e.g. biomarkers) and correct re-classification <1 1-5 6-10 11-15 16-20 21-30 31-40 >40 10 year risk for severe GI bleed 10 year risk for MI <1 1-3 3-5 6-10 11-15 16-20 21-25 26+ Manolio TA. N Engl J Med 2010;363:166-176. Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research
  • 22. Thomsen et al. JAMA. 2013;309(22):2353-2361 Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research High CRP, fibrinogen and/or leukocyte count 0: 0.9% 1: 1.8% 2: 3.2% 3: 8.1% Only biomarkers Added value of biomarkers From uni- to multivariate associations
  • 23. Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research From associations of 3 biomarkers to risk prediction
  • 24. From risk prediction to benefit harm prediction Probability that roflumilast is beneficial Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research
  • 25. Testing EBM 2.0: Focus on the individual Exploring what is important Decision making Based on your individual characteristics and what is important for you <1 1-5 6-10 11-15 16-20 21-30 61-80 >80 <1 1-3 3-5 6-10 11-15 16-20 21-25 26+ The chance that you will benefit from drug X is very low (nine out of ten patients like you will experience more harm than benefit) Your risk for a hospital admission because of COPD Your risk for experiencing severe side effects Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research
  • 26.  Maximizes benefit – minimizes harms for individuals  Links individual characteristics (from molecular to composite level) to treatment oucomes Individual Risk Stratification Personalized through risk stratification and preferences Based on your individual characteristics and what is important for you <1 1-5 6-10 11-15 16-20 21-30 61-80 >80 <1 1-3 3-5 6-10 11-15 16-20 21-25 26+ The chance that you will benefit from drug X is very low (nine out of ten patients like you will experience more harm than benefit) Your risk for a hospital admission because of COPD Your risk for experiencing severe side effects Evidence on treatment effects Patient values & preferences <1 1-5 6-10 11-15 16-20 21-30 61-80 >80 <1 1-3 3-5 6-10 11-15 16-20 21-25 26+ Determinantsof outcome risks & treatment effects Well-defined translational approach to make evidence- based personalized respiratory medicine happen Lab research Synthesis and multidimensional assessment Epidemiological & Clinical research

Editor's Notes

  1. 1. associations, 2. when added to other predictors; 3.