Title: Using an External Control to Evaluate the Effectiveness of Posaconazole for Refractory Invasive Fungal Infections
1Using an External Control to Evaluate the
Effectiveness of Posaconazole for Refractory
Invasive Fungal Infections
- Kenneth J. Koury
- Jagadish P. Gogate
- Schering-Plough Research Institute
2Refractory Invasive Fungal Infections(rIFI)
- Life-threatening infections
- Limited therapeutic options, especially in
salvage setting - Randomized study
- straightforward interpretation of results
- not practical to complete in a timely fashion
- serious ethical issue potential enrollment of
subjects into a failing regimen - No randomized trials completed for salvage
therapy for any antifungal drug
3Description of Study P00041
- Open-label, non-randomized, multinational,
salvage therapy study - Posaconazole oral suspension 400 mg bid
- Subjects with invasive fungal infections
refractory to standard antifungal therapies or
subjects who were intolerant of standard
antifungal agents - Started In January 1999 (compassionate use)
- Enrollment expanded based on investigator
interest, completed by April 2001
4Advice from Regulatory Authorities
- CPMP (Committee for Proprietary Medicinal
Products) - lack of randomized trial always makes it
difficult to evaluate a new agent - well-conducted external-control study may provide
a useful comparative reference - sponsor must demonstrate that any potential
selection bias was minimized - show that two groups are clinically similar
5Advice from Regulatory Authorities
- FDA
- treatment for rIFI may fulfill an unmet medical
need - response rates from a control group required
- numerous discussions regarding design and
analysis of external-control study (P02387) - comparability of patient populations
- minimization of potential bias
6External-Control Study (P02387)
- Provide reference (benchmark) for comparison to
P00041 - Procedures and methods prospectively implemented
to minimize potential sources of bias - Exhaustive review of all cases of IFI at study
centers over target time period - 2073 screened for possible enrollment
- 279 fulfilled criteria
7Control of Potential Bias
- External Data Review Committee (DRC)
- 15 independent clinical experts and 2
radiologists - Concurrent, blinded review of data from 330
posaconazole-treated subjects (P00041) and 279
external-control subjects (P02387) - Determined patient eligibility
- met MSG/EORTC criteria for proven or probable IFI
- met criteria for refractory disease or
intolerance of standard therapy or both - Determined patient outcome global response
status at end of treatment
8Selection Bias
- Exhaustive review of all cases of IFI at study
centers during comparable time period - Similar inclusion and exclusion criteria
- Autopsy data not used for identifying control
subjects - Exclude control subjects who died within 72 hours
of after the initiation of therapy
9Information Bias
- Inherent differences in the amount of data
available in a retrospective study vs.
prospective study - Develop uniform format for data presentation to
maintain blinding of DRC - Outcome data from a given subject are not
available for review by DRC until eligibility of
that subject has been determined
10Temporal and Geographic Bias
- Use same time frame (almost concurrent rather
than historical controls) - Use mostly same centers
- Expect controls to have similar disease
characteristics to posaconazole-treated subjects
11Other Important Factors
- Primary pathogen (type of fungus)
- Infection site
- Underlying disease and associated treatments
- BMT, Solid Organ Transplant
- Hematologic malignancies
- HIV/Aids
- Use of immune response modifiers, growth factors
12Baseline and Disease Characteristics(With
Potential to Influence Outcome)
- Demographic Variables Age, Gender, Race and
Weight. - Refractory Status
- Intolerance Status
- Period of Enrollment
- Primary Pathogen Aspergillus, Candida and Other
Yeast, Fusarium, Cryptococcus, Zygomycetes, Other
Filamentous Fungi, Other Endemic Fungi and
Multiple Pathogens - Infection Site pulmonary, extra pulmonary,
disseminated with pulmonary involvement and
disseminated without pulmonary involvement
13Baseline and Disease Characteristics (With
Potential to Influence Outcome)
- Underlying Disease 9 variables each with two
categories (present and absent Hematologic
Malignancies, Non-Hematologic Malignancies,
Nonmalignant Hematologic Disorders, Bone Marrow
Transplant, Solid Organ Transplant, Renal
Disease, Hepatic Disease, Immunocompromised-
Acquired, Immunocompromised-Congenital - Duration of prior effective antifungal therapy.
- Baseline Neutropenia
- Prior systemic corticosteroid use and Concurrent
systemic corticosteroid use
14Primary Efficacy Endpoint
- DRC-adjudicated Global Response Status at the
end of treatment - subject considered a responder if global
response at EOT was classified as a complete or
partial response - subject considered a non-responder if
classified as stable disease, failure, or unable
to determine -
15Global Response Status
- Complete Response
- Resolution of all attributable clinical signs
and symptoms, radiological and mycological
abnormalities, if present at baseline. - Partial Response
- Clinically meaningful improvement in attributable
clinical signs and symptoms, radiological and
mycological abnormalities, if present at
baseline. - Stable Disease
- No improvement in attributable clinical signs
symptoms, radiological and mycological
abnormalities, if present at baseline - Failure
- Deterioration in attributable clinical signs and
symptoms, radiological and/or mycological
abnormalities necessitating alternative
antifungal therapy or resulting in death - Unable to Determine
- If for any reason the global response cannot be
assessed (e.g., insufficient medical records to
determine outcome)
16Primary Analysis
- Modified ITT Population
- subjects with proven or probable aspergillosis
- refractory to standard therapy or intolerant
- Analysis of Global Response Rate
- Logistic regression model includes
- treatment
- key prognostic factors
- other potential prognostic factors (with
treatment imbalances at baseline) - Assessment of treatment differences based on
odds ratio for treatment effect and its 95
confidence interval
17Prognostic Variables
- Key Variables
- Refractory status
- Intolerance status
- Site of infection
- Presence of baseline neutropenia
- Duration of prior antifungal therapy
- Region
- Other Variables
- All other baseline and disease characteristics
considered as potential prognostic variables - Included as covariates in primary statistical
analysis if treatment imbalance at baseline is
significant (plt0.10)
18Supportive Analyses
- Two step procedure
- Preliminary analysis to identify prognostic
indicators with potential to influence global
response - Based on a logistic regression procedure
- All variables (except treatment) included
- Variable selection option STEPWISE in PROC
LOGISTIC of SAS (significance level 0.15 for
entry and 0.10 for stay) - Statistical Modeling
- Logistic regression on global response with
treatment and other covariates selected from the
above procedure.
19Secondary Analyses
- Survival Analyses
- Time to Death (logrank test)
- Cox Proportional Hazards Model
- Treatment Group
- Site of Infection
- Refractory Status, Intolerance Status
- Baseline Neutropenia
20Additional Analyses
- Forming cohorts based on a Prognosis Score (low,
intermediate, high risk) - Use of Propensity scores
21Baseline and Disease Characteristics
22Baseline and Disease Characteristics
23Baseline Comparisons
- Both studies are comparable with respect to the
distribution of demographic and almost all of the
baseline disease characteristics - Majority of the subjects are refractory to prior
antifungal therapies - Study P00041 has generally sicker patients (e.g.,
hepatic disease and renal disease)
24Global Response Rates (CompletePartial)
Region P00041 (N107) P02387 (N86)
US 38/94 (40.4) 16/68 (23.5)
Ex-US 7/13 (53.8) 6/18 (33.3)
All 45/107 (42.1) 22/86 (25.6)
- Unadjusted OR2.11
- Confidence Interval for OR(1.15, 3.92)
- p-value 0.018
25Primary Efficacy Analysis
- Logistic Regression on Global Response
- Key Prognostic Factors included
- Refractory Status, Intolerance Status, Site of
Infection, Neutropenia, Duration of Prior
Antifungal Therapy, Age and Region of
Enrollment. - Potential Prognostic Factors with Baseline
Imbalance - Enrollment Time, Race, Non-malignant Hematologic
Disorders, Renal Disease and Hepatic Disease
26Results of Primary Efficacy Analysis
- Only two significant variables in the model
- Treatment and Baseline Neutropenia
- No interaction between Treatment and Neutropenia
based on a logistic regression model with
Treatment, Neutropenia and interaction between
them - Odds Ratio for Treatment 4.06
- P-value for the Treatment Effect 0.006
- 95 Confidence Interval (1.50, 11.04)
27Impact on Odds Ratio for Treatment Effect
Sequential Addition of Prognostic Variables
Variable Added in the Model Sequentially Odds Ratio P-value
No covariate 2.11 0.0178
Neutropenia 1.94 0.040
Region 2.10 0.025
Hepatic Disease 2.55 0.010
Refractory Status 2.64 0.007
Intolerance Status 2.80 0.005
Infection Site 2.70 0.008
Non-malignant Hematologic Disorders 2.89 0.006
Age 2.88 0.007
Renal Disease 3.05 0.008
Prior AF duration 3.34 0.006
Enrollment Time 4.05 0.006
Race Group 4.06 0.006
28Supportive Analysis
- Variables associated with the Global Response
selected using the Stepwise Logistic Regression - Baseline Neutropenia, Prior Corticosteroid Use,
Solid Organ Transplant - Logistic regression on Global Response with
Treatment and the above variables in the Model - Odds Ratio for Treatment 2.05
- P-value for the Treatment Effect 0.034
Confidence Interval (1.06, 3.97)
29Sensitivity Analyses
No. Variations of the Prognostic Factors OR CI/P-value
1 Excluded Non-malignant Hematologic Disorders, Renal and Hepatic Disease 2.68 (1.15, 6.27)/ 0.023
2 Binary infection site, Continuous Age and Prior AF duration 3.67 (1.41, 9.54)/0.008
3 Binary Enrollment and Infection site, Continuous Age and Ordinal Prior AF duration 3.73 (1.51, 9.21)/0.004
4 Binary Enrollment and Infection Site, Continuous Age and Prior AF duration 3.45 (1.42, 8.41)/0.006
5 Ordinal Enrollment, Binary Infection site, Continuous Age and Ordinal Prior AF duration 3.48 (1.39, 8.72)/0.008
6 Ordinal Enrollment, Binary Infection site, Binary Prior AF duration (lt30, gt30) and Continuous Age 3.69 (1.46, 9.35)/0.006
30Global Response Rates by Baseline Neutropenia
Study protocol Study protocol Study protocol Study protocol
P00041 P00041 P02387 P02387
N N
Neutropenia Status 1/3 33.3
Missing 1/3 33.3
Neutropenia 5/21 23.8 2/26 7.7
No Neutropenia 35/78 44.9 19/58 32.8
Unable to Determine 4/5 80.0 1/2 50.0
Total 45/107 42.1 22/86 25.6
31Global Response Rates by Corticosteroid Use
Study protocol Study protocol Study protocol Study protocol
P00041 P00041 P02387 P02387
N N
Prior Corticosteroid 15/29 51.7 12/26 46.2
No prior use 15/29 51.7 12/26 46.2
Prior use 30/78 38.5 10/60 16.7
Concomitant Corticosteroid 13/23 56.5 7/27 25.9
No Concomitant use 13/23 56.5 7/27 25.9
Concomitant use 32/84 38.1 15/59 25.4
Total 45/107 42.1 22/86 25.6
32Global Response Rates by Infection Site
Study protocol Study protocol Study protocol Study protocol
P00041 P00041 P02387 P02387
N N
Infection Site
Pulmonary 31/79 39.2 17/67 25.4
Extra-Pulmonary 10/19 52.6 5/11 45.5
Disseminated with Pulmonary Involvement 1/3 33.3 0/3 0
Disseminated w/o Pulmonary Involvement 3/6 50 0/5 0
Total 45/107 42.1 22/86 25.6
33Global Response Rates by Underlying Disease
Conditions
Study protocol Study protocol Study protocol Study protocol
P00041 (n107) P00041 (n107) P02387 (n86) P02387 (n86)
N N
Bone Marrow Transplant 21/55 38.2 7/38 18.4
Solid Organ Transplant 7/12 58.3 5/7 71.4
Hematologic Malignancies 29/79 36.7 16/70 22.9
Non-malignant Hematologic Disorders 36/91 39.6 11/52 21.2
Non-hematologic malignancies 6/13 46.2 1/5 20.0
Immunosuppressive-acquired 13/28 46.4 6/19 31.6
Immunosuppressive-congenital 1/2 50.0 0/3 0.0
Renal Disease 27/68 39.7 5/21 23.8
Hepatic Disease 16/43 37.2 0/6 0.0
No Identifiable Risk Factors 1/1 100.0
34(No Transcript)
35Variables used for Prognosis Score
- BMT, Solid Organ Transplant, Acquired
Immunodeficiency, Congenital Immunodeficiency,
Hematologic Malignancy, Non-hematologic
Malignancy, Non-malignant Hematologic Disorder,
Renal disease risk factor OR Creatinine gt Grade
1, Liver disease risk factor OR Total Bilirubin
gt Grade 1 OR SGOT gt Grade 1 OR SGPT gt Grade 1,
Prior Systemic Steroid use, Prior
Immunosuppressive therapy, Prior Myelosuppressive
therapy, Baseline Neutropenia, Baseline
Mechanical Ventilation, and Baseline GVHD - Prognosis Score one point added to subjects
score for each condition that is present
36Global Response Rate by Prognosis Score
Prognosis Score Group P00041 Posaconazole P02387 Control
Low Risk (0-1) 2/2 (100) -
Intermediate Risk (2-4) 10/21 (58) 8/25 (32)
High Risk (gt5) 33/48 (39) 14/61 (23)
All 45/107 (42) 22/86 (26)
P-value 0.0202 based on CMH stratified analysis
for general association.
37Propensity Scores
- Propensity Score is defined as the conditional
probability of being treated given the
covariates. - Estimated propensity score can be used to reduce
the bias through matching, stratification,
regression adjustment or some combination of all
three. - Advantage of using propensity scores in
estimating treatment effect is its simplicity in
interpreting the results. - Quantiles of the distribution of the propensity
scores can be used as covariates in logistic
regression analysis or as strata in assessing the
treatment effect.
38Global Response Rate by Propensity Score Group
Propensity Score Group P0041 P02387
lt0.177 0/1 (0) 18/57(32)
0.177- lt0.608 10/16 (63) 3/18 (17)
0.608- lt0.936 12/33 (36) 1/9 (11)
gt0.936 23/57 (40) 0/2 (0)
All 45/107 (42) 22/86 (26)
P-value using the logistic regression is
0.0223 P value based on the CMH analysis is
0.0207
39Summary and Conclusions
- Posaconazole is substantially more effective than
control for treatment of rIFI due to aspergillus - The adjusted odds ratio obtained from the primary
analysis is almost twice as large as the
unadjusted odds ratio - The treatment effect based on primary analysis is
robust in the sense that it is not sensitive to
the classification of baseline and disease
characteristics used to specify the way in which
the prognostic factors were incorporated in the
analyses.
40Summary and Conclusions
- The treatment effect is statistically significant
even when the influential factors non-malignant
hematologic disorders, hepatic disease and renal
disease are excluded from the primary model (odds
ratio2.70, p-value0.0227). - Alternate methods of controlling for prognostic
factors confirm effectiveness of posaconazole. - Survival (based on the Kaplan-Meier estimates) is
substantially longer in subjects treated with
Posaconazole than control subjects. Kaplan-Meier
estimates of the survival rates at the end of one
year are 38 and 22 in P0041 and P02387
respectively.