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© 2014 Denver Public Health
The (frequently long, circuitous, and bumpy) trip from clinical
problems to clinical trials
Bill BurmanDenver Public Health
© 2014 Denver Public Health
One view of clinical trials
© 2014 Denver Public Health
Clinical trials: cautionary notes
• Time for a Phase 3 trial – a decade (or more!)– Trial development – 1 to 5 years, trial conduct – 4 to 8
years, trial analysis – 1 to 2 years– Will the question be relevant in 10 years?
• Cost of classic clinical trials (GCP, professional site monitoring): – $5-25,000 per patient/year – For a trial of 1000 patients, $5 million to $25 million per
year of the trial
• Opportunity cost– Limited funding for TB clinical trials – Is this a durable and
critical question?
© 2014 Denver Public Health
Another view of clinical trials…
© 2014 Denver Public Health
Problems of not doing clinical trials: When to start ART
• When to start antiretroviral therapy (ART) – classic case for a randomized trial– Important clinical and programmatic question– Randomization possible at the level of the
patient
• Challenges for “When to start” study– Shifting equipoise– Concerns about feasibility
© 2014 Denver Public Health
Shifting recommendations for “When to start ART” – IAS USA panel
> 500 VL>30K
VL>5K VL>10K
350-500
VL>5K VL>5K
200-350
<200
CD4 1996
1998
2000
2002
2004
2006
2008
2010
© 2014 Denver Public Health
Shifting recommendations for “When to start ART” – IAS USA panel
> 500 VL>30K VL>5K VL>10K
350-500
VL>5K VL>5K
200-350
<200
CD4 1996
1998
2000
2002
2004
2006
2008
2010
“It is questionable whether a randomized trial to study the issue of When to Start will ever be feasible.” 2002 guidelines
© 2014 Denver Public Health
Shifting recommendations for “When to start ART” – IAS USA panel
> 500 VL>30K VL>5K VL>10K
350-500
VL>5K VL>5K
200-350
<200
CD4 1996
1998
2000
2002
2004
2006
2008
2010
“It is questionable whether a randomized trial to study the issue of When to Start will ever be feasible.” 2002 guidelines
© 2014 Denver Public Health
When to start ART: Potential of ART
• Prevent classic AIDS outcomes• Prevent irreversible loss of immune
function (clonal deletion)• Prevent other serious events:
– cardiovascular, renal, and hepatic events– other cancers– neurocognitive dysfunction
• Prevent HIV transmission
© 2014 Denver Public Health
When to start ART: Problems of ART
• Short-term side effects – diarrhea, rash, etc.• Long-term metabolic effects
– Hyperlipidemia, bone loss– Renal and hepatic toxicity
• Behavioral disinhibition – leading to increased risk of transmission
• Acquired drug resistance, transmitted resistance• Cost of antiretroviral therapy – drugs, monitoring,
increased clinical care
© 2014 Denver Public Health
SMART study – ART-naïve or off ART for > 6 months
• CD4 > 350• Randomized
– Immediate ART– Deferred ART: start when CD4 < 250 – ART: physician/patient choice
• 477 enrolled (of 5472 in overall trial)– 249 ART-naïve– 225 off ART for > 6 months
• Median follow-up – 18 months
© 2014 Denver Public Health
Outcomes of SMART sub-study of “When to Start”
0
1
2
3
4
5
6
7
8
AIDS/ death Serious non-AIDS Composite
Rate
per
100 p
ers
on-y
ears
< 250 > 350
P = 0.02P = 0.01
P = 0.002
SMART Study Group. J Infect Dis 2008; 197: 1133-44
© 2014 Denver Public Health
Lessons of the “When to start ART” controversy
• > 15 years of controversy not resolved by many, increasingly large and increasingly sophisticated observational studies
• Clarity provided by two relatively small randomized clinical trials (combined n = 1293, with median follow-up for < 2 years)
• Recommendations for common, important clinical decisions should be based on randomized trials
© 2014 Denver Public Health
Examples of the problems of not doing clinical trials: TB
© 2014 Denver Public Health
Examples of the problems of not doing clinical trials: TB
• Sub-optimal treatments– Dosing of 1st (and 2nd) line TB drug in children– MDR-TB regimens without clarity on critical questions
(e.g., number of drugs, length of aminoglycoside use, selection of fluoroquinolone)
• Uncertainty about managing toxicity– Drug-related liver injury– Dosing of PZA, use of PZA in higher-risk patients
• Key details about 1st-line therapy– Optimal duration– Intermittency – when during treatment, degree
© 2014 Denver Public Health
Getting started
• Identify a compelling clinical problem – important in terms of diagnosis, treatment effectiveness, toxicity, prevention, population control
• Find relevant observational studies– Current practices – Key outcomes: definitions, rates, associated factors, estimation of the
effect size of an intervention
• Consider doing research on what to do research on– Survey clinicians: key questions, areas of equipoise– Survey patients: outcomes of TB treatment that are important to
patients– Formal decision analysis – cost-effectiveness modeling of various
forms of treatment of latent TB
© 2014 Denver Public Health
Getting started
• Identify a compelling clinical problem – important in terms of diagnosis, treatment effectiveness, toxicity, prevention, population control
• Find relevant observational studies– Current practices – Key outcomes: definitions, rates, associated factors, estimation of the
effect size of an intervention
• Consider doing research on what to do research on– Survey clinicians: key questions, areas of equipoise– Survey patients: outcomes of TB treatment that are important to
patients– Formal decision analysis – cost-effectiveness modeling of various
forms of treatment of latent TB
© 2014 Denver Public Health
Getting started
• Identify a compelling clinical problem – important in terms of diagnosis, treatment effectiveness, toxicity, prevention, population control
• Find relevant observational studies– Current practices (sometimes substantially different from guidelines)– Key outcomes: definitions, rates, associated factors, estimation of the
effect size of an intervention
• Consider doing research on what to do research on– Survey clinicians: key questions, areas of equipoise– Survey patients: outcomes of TB treatment that are important to
patients– Formal decision analysis – cost-effectiveness modeling of various
forms of treatment of latent TB
© 2014 Denver Public Health
Getting started
• Identify a compelling clinical problem – important in terms of diagnosis, treatment effectiveness, toxicity, prevention, population control
• Find relevant observational studies– Current practices (sometimes substantially different from guidelines)– Key outcomes: definitions, rates, associated factors, estimation of the
effect size of an intervention
• Consider doing research on what to do research on– Survey clinicians: key questions, areas of equipoise– Survey patients: outcomes of TB treatment that are important to
patients– Formal decision analysis – for example, cost-effectiveness modeling of
various forms of treatment of latent TB
© 2014 Denver Public Health
Trials of treatment-shortening with fluoroquinolones
• Rationale– Mouse model studies – moxifloxacin allowed
treatment shortening to 4 months, especially if substituted for INH
– Improved treatment completion, leading to improved TB control
– Fluoroquinolones are well-tolerated, known to be safe• Three Phase 3 trials undertaken
0
1
2
3
4
5
6
7
8
9
10
0 1 2 3 4 5 6
Duration of treatment (mos.)
Lo
g C
FU
in
en
tire
lu
ng
Untreated
2RHZ+4RH
2RHZM+4RHM
2RMZ+4RM
Activity of moxifloxacin in combination therapy in a mouse model of TB
2.5 logs
Am J Respir Crit Care Med 2004; 164:421-6
© 2014 Denver Public Health
Concerns about fluoroquinolones for treatment-shortening
• Toxicity/tolerability– Uncertainty about safety in pregnancy, children, and
the elderly– Concerns about possible cardiotoxicity from moxi– Selection for resistance in M. tuberculosis might limit
2nd-line regimen potency– Broad activity against common bacterial pathogens –
selection for resistant strains, C. difficile
• Lack of consistent activity in Phase 2 trials• Opportunity cost
© 2014 Denver Public Health
Effect of moxifloxacin on 2-month sputum culture conversion
Study 27 South Africa Brazil Study 280
10
20
30
40
50
60
70
80
90
100
71
82 80
60
7164 63
55
Moxi Comparator EMB
© 2014 Denver Public Health
Effect of moxifloxacin on 2-month sputum culture conversion
Study 27 South Africa Brazil Study 280
10
20
30
40
50
60
70
80
90
100
71
82 80
60
7164 63
55
Moxi Comparator
N = 336N = 150
N = 102
N = 443
EMB
© 2014 Denver Public Health
Treatment-shortening using moxifloxacin for drug-susceptible active disease
Gillespie S, et al. N Engl J Med 2014; 371: 1677-87
Relapses• IRZE – 12 (2%)• IRZM – 46 (9%)• MRZE – 64 (12%)
2-month conversion• IRZE – 83%• IRZM – 85%• MRZE – 87%
© 2014 Denver Public Health
TB clinical trials: drug-susceptible TB
• Lessons from the past decade– Regimens for drug-susceptible disease must be
applicable to women of child-bearing age and children– Don’t start Phase 3 trials of treatment-shortening
without compelling results from Phase 2 – Is treatment-shortening to 4 months the most
important question in treatment of drug-susceptible TB?
– We are far to quick to conclude that a new regimen is “safe and well-tolerated”
© 2014 Denver Public Health
Suppression of ventricular ectopy after acute MI
• Sudden death is common after a heart attack• Ventricular ectopy is a risk factor for sudden death• Drugs are available that markedly suppress ventricular ectopy• In a pilot randomized trial, these drugs were well-tolerated• Clinicians started to prescribe these drugs to suppress ventricular ectopy
© 2014 Denver Public Health
Efficacy in suppressing ventricular ectopy
0
10
20
30
40
50
60
70
80
90
flecainide encainide moricizine placebo
% o
f p
ati
en
ts w
ith
> 7
0%
su
pp
ressio
n
Am J Cardiol 1988;61:501-9
© 2014 Denver Public Health
Tolerability in Phase 2
Encainide(n = 99)
Flecainide(n = 103)
Moricizine(n = 98)
Placebo(m = 100)
Death 0 0 0 0
CHF 1 0 0 0
MI 0 0 1 2
Other SAE 0 1 0 0
Drug stopped
2 3 6 7
Am J Cardiol 1988;61:501-9
© 2014 Denver Public Health
Effect of flecainide, encainide on mortality - data from Phase 3 (n = 1500)
0123456789
total mortality cardiac mortality
Mo
rtal
ity
active drug placebo
N Engl J Med 1989;321:406-12
© 2014 Denver Public Health
Lessons of the CAST study
• Fixing a surrogate marker may not fix the disease and may even exacerbate it
• Other examples: – post-menopausal hormone replacement therapy and
CVD risk– effect of antiretroviral therapy on CVD risk– effect of EPO on anemia in ESRD
• Sample sizes in most clinical trials are inadequate to detect unusual but serious adverse effects
© 2014 Denver Public Health
TB clinical trials: drug-susceptible TB
• Lessons from the past decade– Regimens for drug-susceptible disease must be
applicable to women of child-bearing age and children– Don’t start Phase 3 trials of treatment-shortening
without compelling results from Phase 2 – We are far to quick to conclude that a new regimen is
“safe and well-tolerated”– Is treatment-shortening to 4 months the most
important question in treatment of drug-susceptible TB?
© 2014 Denver Public Health
Prospective study of tolerability of treatment for pulmonary TB
• Multicenter prospective study – 4 regions of China, sampling scheme to assure representative sample of patients with pulmonary TB
• Baseline survey and labs• Treatment: IRZE for initial treatment, Strep added for
re-treatment• Symptom diary during treatment • Repeat labs at 2 months• Adverse events and TB treatment outcomes
evaluated using standardized criteria
© 2014 Denver Public Health
Demographic and clinical characteristics of the cohort
Parameter Number (% of 4304)Median age (IQR) 42 (29 – 55)Male/female 3082 / 1227TB treatment history Primary 3556 (83% Re-treatment 748 (17%)Hep B S Ag positive 469 (11%)History of drug reaction 118 (3%)Hepatobiliary disease 23 (0.5%)Gastroenteropathy 40 (1%)Diabetes 51 (1%)Other medical illnesses 103 (2%)
Lv Z, et al. PLoS One 2013
© 2014 Denver Public Health
Adverse drug reactions
• Frequency– 766 (17%) had an adverse reaction, 1.4% had a serious
adverse reaction, 1% hospitalized– Liver dysfunction – 6.3%, 0.6% had serious hepatotoxicity
• Effect on TB treatment regimen– 43% of those with adverse reaction had regimen changed,
5% stopped all TB treatment
• Effect on TB treatment outcomes– 2.8% with adverse reaction had unsuccessful TB treatment
(vs. 1% of those without an adverse reaction)– 19% of all unsuccessful outcomes attributed to adverse
reactions
© 2014 Denver Public Health
Adverse drug reactions
• Frequency– 766 (17%) had an adverse reaction, 1.4% had a serious
adverse reaction, 1% hospitalized– Liver dysfunction – 6.3%, 0.6% had serious hepatotoxicity
• Effect on TB treatment regimen– 43% of those with adverse reaction had regimen changed,
5% stopped all TB treatment
• Effect on TB treatment outcomes– 2.8% with adverse reaction had unsuccessful TB treatment
(vs. 1% of those without an adverse reaction)– 19% of all unsuccessful outcomes attributed to adverse
reactions
© 2014 Denver Public Health
Adverse drug reactions
• Frequency– 766 (17%) had an adverse reaction, 1.4% had a serious
adverse reaction, 1% hospitalized– Liver dysfunction – 6.3%, 0.6% had serious hepatotoxicity
• Effect on TB treatment regimen– 43% of those with adverse reaction had regimen changed,
5% stopped all TB treatment
• Effect on TB treatment outcomes– 2.8% with adverse reaction had unsuccessful TB treatment
(vs. 1% of those without an adverse reaction)– 19% of all unsuccessful outcomes attributed to adverse
reactions
© 2014 Denver Public Health
Comparison of hepatotoxicity risk among antimicrobial agents
Drug Hepatotoxicity incidence per 100,000
courses
Comments
Amox-clav * 1-17 Generally benign
Telithromycin * 17 Withdrawn from the market
Levofloxacin * 0.02
Trovofloxacin * 6 Withdrawn from the market
Rifampin 70 Annals Intern Med 2008; 149: 694
Isoniazid 380 Annals Intern Med 2008; 149: 694
Pyrazinamide 430 Ann Intern Med 2002; 137: 640-7
* Andrade R, Tulkens PM. J Antimicrob Chemother 2011; 66: 141-6
In population-based studies, TB drugs are among the most common causes of serious drug-related hepatotoxicity (Aliment Pharmacol Ther 2010;31:1200, Gastroenterol 2008;135:1924)
© 2014 Denver Public Health
Changes in age-distribution among cases of active TB (Hong Kong)
Wu P, et al. PLoS One, 2010
As transmission decreases, active TB becomes increasingly a disease of the elderly
© 2014 Denver Public Health
Age-specific rates of active TB, by WHO region
http://www.who.int/tb/publications/global_report/en/
© 2014 Denver Public Health
Toxicity considerations in treatment of drug-susceptible disease
• INH and PZA are much more hepatotoxic than antibiotics that have been removed from the market
• The new norm of TB: – Elderly, increased prevalence of comorbid disease– Higher risk of adverse effects, including hepatitis and CVD
• Encourage enrollment of elderly and “complicated patients” into TB clinical trials
• Is it time for trials comparing interventions for toxicity avoidance?
© 2014 Denver Public Health
Endpoints – How to define “better” (or “not inferior”)
• Clinical endpoints (TB, relapse, death)– Infrequent events in TB patients– Postulated differences in clinical event rates (treatment
effect size) may be small– Infrequent events analyzed as dichotomous endpoints
+ small effect size = large sample sizes• Surrogate markers (EBA, effect on transaminases,
cholesterol, etc.)– Continuous variables with large dynamic range =
markedly smaller sample size
© 2014 Denver Public Health
Endpoints – the lessons of CAST and SMART
• Surrogate markers – quite reasonable for initial studies, to generate hypotheses• Effects of interventions may be much more complex than their effect on one or more surrogate markers• Surrogate markers should not be relied on as the basis for major clinical decisions/policies
© 2014 Denver Public Health
Dealing with complex clinical situations
• Heterogeneity of “MDR-TB”– Primary vs. acquired– Degree of resistance to 2nd-line drugs– Different definitions of “resistance”– Limitations posed by intolerance to 2nd-line drugs– Severity of pulmonary disease
• Common conclusion – Impossible to do clinical trials for MDR-TB
© 2014 Denver Public Health
Example of “optimized background regimen” design for MDR-HIV
• Study population– Prior therapy with NRTI, NNRTI, PI– Virological failure of current therapy (VL > 5000)
• Randomization– Optimized Background Regimen (OBR) chosen by enrolling clinician – could include other investigational drugs– OBR + T-20 (enfuvirtide)
© 2014 Denver Public Health
T-20 trial: baseline characteristics
Characteristic
Previous ART > 5 PIs Lopinavr/R Tenofovir
Viral load < 40,000 > 40,000
T-20
49%39%3%
20%80%
Control
39%28%
0
20%80%
N Engl J Med 2003;348:2175-85
© 2014 Denver Public Health
T-20 trial: baseline characteristics
Characteristic
Genotypic susc. Score 0 1-2 3-4 >5
Use of other investigational agents Lopinavir/R Tenofovir
T-20
16%52%28%4%
62%8%
Control
13%56%27%2%
62%7%
N Engl J Med 2003;348:2175-85
© 2014 Denver Public Health
T-20 trial – efficacy results
N Engl J Med 2003;348:2175-85, N Engl J Med 2003;358:
N = 501
© 2014 Denver Public Health
T-20 trial – efficacy results from paired trials
N Engl J Med 2003;348:2175-85, N Engl J Med 2003;358:
N = 501
© 2014 Denver Public Health
Clinical trials for complex problems
• Don’t try to over-simplify life – manage complexity, don’t try to eliminate it
• We under-estimate the power of randomization to deal with clinical heterogeneity
© 2014 Denver Public Health
Alternate trial designs
• Behavioral or system-level interventions (e.g., DOT vs. SAT, availability of rapid susceptibility testing, community-based testing to decrease TB transmission) – Cluster-randomized– Stepped-wedge trial
© 2014 Denver Public Health
Alternate trial designs
• Behavioral or system-level interventions (e.g., DOT vs. SAT, availability of rapid susceptibility testing, community-based testing to decrease TB transmission) – Cluster-randomized– Stepped-wedge trial
© 2014 Denver Public Health
Andrew Nunn’s rules for clinical trials
1. Ask important questions2. Use simple designs3. Enroll enough patients to answer the
questionMy corollaries• Don’t rush to trial design; do research
on what to do research on• Seek out – don’t avoid – a wide range
of feedback on the design are worthy
© 2014 Denver Public Health
Andrew Nunn’s rules for clinical trials
1. Ask important questions2. Use simple designs3. Enroll enough patients to answer the
questionMy corollaries• Don’t rush to trial design; do research
on what to do research on• Seek out – don’t avoid – a wide range
of feedback on the design are worthy
© 2014 Denver Public Health
Closing thoughts
• Clinical trials– Not for the faint of heart– Not for the impatient– Not for the loner -
collaborative exercise, political process
– But the team can accomplish something big
© 2014 Denver Public Health
Closing thoughts
• Clinical trials– Not for the faint of heart– Not for the impatient– Not for the loner -
collaborative exercise, political process
– But the team can accomplish something big