Predictors of Timely Colonoscopy After a Positive Fecal ... · PDF filePredictors of Timely...
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![Page 1: Predictors of Timely Colonoscopy After a Positive Fecal ... · PDF filePredictors of Timely Colonoscopy After a Positive ... CA Atlanta, GA Loma Linda, CA ... • Priscilla Magno,](https://reader036.fdocuments.in/reader036/viewer/2022062907/5aaf95807f8b9a5d0a8d9dea/html5/thumbnails/1.jpg)
Predictors of Timely Colonoscopy After a Positive Fecal Immunochemical Test (FIT) in the CONFIRM
Study
Douglas J. Robertson1, Jason A. Dominitz2 , Dennis Ahnen3, Kathy D. Boardman4,
Barbara Del Curto4, Peter Guarino5, Thomas Imperiale6, Gary Johnson7, Tassos Kyriakides7,
Meaghan Larson2, David A. Lieberman8, Dawn Provenzale10, Aasma Shaukat9, Shahnaz Sultan9, Beata Planeta7
1.White River Junction VAMC, White River Junction, VT , 2VA Puget Sound Health Care System, Seattle,
WA, United States 3University of Colorado Medical School, Denver, CO, 4VA Cooperative Studies Program, Albuquerque, NM, 5Fred Hutchinson Cancer Research Center, Seattle, WA, 6Roudebush VA
Medical Center, Indianapolis, IN, 7VA Cooperative Studies Program, West Haven, CT, 8Portland VA Medical Center, Portland, OR,
9Minneapolis VA Medical Center, Minneapolis, MN, 10VA Cooperative Studies Epidemiology Center, Durham, NC
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Possible conflicts of interest
• None relevant to the presentation
Name of presenter
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Stool Based Colorectal Cancer Screening
• Reduces colorectal cancer mortality in RCT’s
– Fecal immunochemical test (FIT) increasingly replacing conventional FOBT
• Stool based screening programs rely on timely completion of colonoscopy in those with a positive screening test
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Delayed Colonoscopy after FIT + Impacts Screening Effectiveness
• Microsimulation modeling in a screening population
• Examined impact of delay relative to colonoscopy at 2 weeks after a positive test
• Results:
– CRC incidence 0.3% /month
– CRC mortality 1.4% /month
Clin Gastroenterol Hepatol. 2016;14:1445-1451
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Timely Colonoscopy after FOBT + Varies By Site
% Colonoscopy Complete
System 1 months 3 months 6 months
Kaiser Northern CA 28.3% 73.4% 80.9%
Kaiser Southern CA 39.3% 69.6% 74.4%
Group Health, WA 14.9% 51.3% 62.8%
Parkland Health, TX 2.4% 34.7% 50.2%
Cancer Epidemiol Biomarkers Prev. 2016;25:344-50
N=62384
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AIM
To determine factors associated with timely
colonoscopy completion (< 60 days)
of a positive FIT
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CONFIRM Trial Overview
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Recruit 50,000‘screen eligible’
Veterans (Age 50-75)
Randomize (1:1)
Screening
Colonoscopy
Annual FIT
Test FIT Test
Positive?
10th Year of
Follow- Up?
Colonoscopy
(as appropriate)
Follow-up for outcomes over 10 years
CRC Mortality (Primary Outcome)
CRC Incidence (Secondary Outcome)
Yes
No
No
Yes
CONFIRM Trial Overview
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Recruit 50,000‘screen eligible’
Veterans (Age 50-75)
Randomize (1:1)
Screening
Colonoscopy
Annual FIT
Test FIT Test
Positive?
10th Year of
Follow- Up?
Colonoscopy
Complete ≤ 1 year
Follow-up for outcomes over 10 years
CRC Mortality (Primary Outcome)
CRC Incidence (Secondary Outcome)
Yes
No
No
Yes
Focus of Current Analysis
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Methods-Details of FIT intervention
• Initial FIT given by local coordinator; all others sent out centrally to participant through US mail
– OC-Auto FIT (20 ug hgb/gm stool)
• Participants send completed kit back to central lab (Albuquerque, NM) via Priority Mail
• Results released to both participant and local study investigator (LSI)
– LSI arranges follow up for those FIT positive via “usual care”
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Methods- Main Outcome
• “Timely Colonoscopy” defined as colonoscopy < 60 days of a positive FIT
• Date of positive test available from high throughput Polymedco Diana FIT processor
– Automated result notification to participant and LSI
• Colonoscopy date determined from dedicated case report form that track all positive FIT
– Include colonoscopy completed ≤ 1 year of FIT +
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Methods-Co-variate Measurement
• Baseline data obtained at enrollment
– Race/ethnicity
– Education
– Habits (Alcohol use, Tobacco use)
– Prior endoscopy
– Distance/Time to VA/Insurance information
• Geographic Region
– 4 regions based on US census categorization
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Seattle, WA
White River Jct., VT Portland, OR
San Diego, CA
Loma Linda, CA
Phoenix, AZ
Denver, CO
Ann Arbor, MI
Minneapolis, MN
Houston, TX
Dallas, TX
Boston, MA Providence, RI
Northport, NY
Cleveland, OH
Clarksburg, WV
Durham, NC
Gainesville, FL
Indianapolis, IN Kansas City, MO
Memphis, TN Los Angeles, CA
Fresno, CA
Salt Lake City, UT
Oklahoma City, OK
St. Louis, MO
Detroit, MI
Madison, WI
Chicago, IL
Miami, FL
Tampa, FL
Richmond, VA
Philadelphia, PA Baltimore, MD
Long Beach, CA
Atlanta, GA
West Haven, CT
Regions
Orlando, FL
San Juan, PR
Salisbury, NC
West
North East
Honolulu, HI
Little Rock, AR
Central
East Orange, NJ
South
Washington DC
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Methods-Statistical Analysis
• Exploratory Analysis examining continuous and categorical covariates with colonoscopy completion < 60 days
– Two sided t-test (continuous)
– Pearson's Chi-Square (categorical)
• Predictors of Timely Colonoscopy were modelled using
– Univariate logistic regression
• A significance level of p<0.2 was used as a threshold for inclusion of variables in a multivariable logistic regression
– Multivariable logistic regression
• Estimate the odds of completing timely colonoscopy adjusted for all significant covariates
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Results
• 1686 FIT positive Veterans with colonoscopy
– 95% male
– 77% white
– 8.5% Hispanic
• Median time to colonoscopy 45 days (interquartile range 31-67 days)
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0
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3001
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Co
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t o
f P
arti
cip
ants
Time to Colonoscopy [Days]
Number of Days from Positive FIT to Colonoscopy
N=1686
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Exploratory Analysis (continuous)
Colonoscopy Done
Mean (SD)
less than 60 days 60 days or more
T-test
N Mean (SD) N Mean (SD)
Age [years]
1161
60.4 (6.7)
525
60.4 (6.5) 0.70
Travel distance [miles] 25.6 (31.6) 24.9 (27.1) 0.65
Travel Time [minutes] 39.4 (34.9) 38.5 (29.7) 0.64
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Exploratory Analysis (Categorical) Factor % Timely Colonoscopy p-value
Race White
Non White
70.5%
63.3%
0.0008
Ethnicity Hispanic
Non-Hispanic
76.4%
68.3%
0.04
Prior Colonoscopy No
Yes
67.2%
73.7%
0.01
Region West
South
Central
North East
65.1%
69.9%
70.9%
74.9%
0.03
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Exploratory Analysis (Categorical) Factor % Timely Colonoscopy p-value
Race White
Non White
70.5%
63.3%
0.0008
Ethnicity Hispanic
Non-Hispanic
76.4%
68.3%
0.04
Prior Colonoscopy No
Yes
67.2%
73.7%
0.01
Region West
South
Central
North East
65.1%
69.9%
70.9%
74.9%
0.03
Education High School or Less
Some College
College or Above
71.1%
65.9%
70.1%
0.12
Gender Female
Male
64.1%
69.1%
0.35
Alcohol Yes
No
69.9%
68.3%
0.52
Tobacco Yes
No
68.2%
69.2%
0.78
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Predictors of Timely (< 60 days) Colonoscopy After FIT Positive Univariate Analysis
Factor OR 95% CI
Age (year) 1.00 0.98, 1.01
Race (Non-white vs White) 0.72 0.57, 0.92
Ethnicity (Hispanic vs Non Hispanic) 1.50 1.00, 2.24
Gender (Female vs Male) 0.80 0.50, 1.28
Education High school or less vs college or more Some College credit but no degree vs College graduate
0.78 0.95
0.61, 1.00 0.73,1.24
Alcohol (Drinker vs non drinker) 0.93 0.75, 1.16
Tobacco (Smoker vs non smoker) 1.05 0.83, 1.31
Prior colonoscopy (Yes vs No) 1.37 1.07, 1.74
Region Central vs West East vs West South vs West
1.42 1.63 1.19
1.08, 1.88 1.14, 2.34 0.92, 1.53
Age, gender, alcohol and tobacco use insignificant and removed for the model
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Predictors of Timely (< 60 days) Colonoscopy After FIT Positive Multivariable Analysis
Factor OR 95% CI aOR 95% CI
Age (year) 1.00 0.98, 1.01
Race (Non-white vs White) 0.72 0.57, 0.92 0.73 0.57, 0.94
Ethnicity (Hispanic vs Non Hispanic) 1.50 1.00, 2.24 1.59 1.06, 2.38
Gender (Female vs Male) 0.80 0.50, 1.28
Education High school or less vs college or more Some College credit but no degree vs College grad
0.78 0.95
0.61, 1.00 0.73,1.24
1.08 0.90
0.83,1.42 0.70, 1.17
Alcohol (Drinker vs non drinker) 0.93 0.75, 1.16
Tobacco (Smoker vs Non smoker) 1.05 0.83, 1.31
Prior colonoscopy (Yes vs No) 1.37 1.07, 1.74 1.33 1.04, 1.71
Region Central vs West NE vs West South vs West
1.42 1.63 1.19
1.08, 1.88 1.14, 2.34 0.92, 1.53
1.46 1.68 1.31
1.09, 1.96 1.16, 2.44 1.01, 1.70
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0
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1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4
Pe
rce
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of
Tim
ely
Co
lon
osc
op
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Region ID
North East
South
Central
West
Facility-Level Variation in Proportion With Timely Colonoscopy
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Summary
• Non-white participants and those enrolled in West Coast sites less likely to get colonoscopy within 60 days
• Hispanic participants and those with a prior colonoscopy history more likely to get colonoscopy within 60 days
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Limitations
• Analysis performed within the framework of a clinical trial only involving US Veterans (generalizability)
• Did not examine all potential factors that could influence timely colonoscopy completion
– Significant other/availability of a driver
• Cannot examine FIT positive with NO colonoscopy completion
• ? Importance of the 60 day definition of ‘timely colonoscopy’
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Colonoscopy Delay After FIT positive& Colorectal Cancer
8-30 days
2 months
3 months
4-6 months
7-12 months
>12 months
Dela
y p
rior
to C
olo
nosco
py
0.2 0.5 1.0 2.0 5.0
Odds Ratio for Colorectal Cancer
N=70124
2.25 [1.89, 2.68]
1 [Reference]
0.92 [0.83, 1.02]
0.95 [0.82, 1.10]
0.98 [0.82, 1.16]]
1.37 [1.09, 1.70]
JAMA. 2017;317:1631-1641
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Conclusions
• Time to colonoscopy is associated with patient and facility characteristics
• Patient navigation might be explored for persons less likely to complete colonoscopy within 60 days
– no previous colonoscopy
– Non-white race
• Regional variation is likely accounted by facility and organizational level factors
– Site-specific investigation of contributing factors needed
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Local Site Investigators - Present • Aasma Shaukat, MD, MPH
• Adnan Said, MD, MS
• Amelia (Beth) Underwood, MD
• Andrew J. Gawron, MD
• Andrew M. Kaz, MD
• Charles H. Beymer, MD, MPH
• Charles Kahi, MD
• Christian S. Jackson, MD
• Christopher Lenza, DO
• Claudio Tombazzi, MD
• Curt H. Hagedorn, MD
• David Lieberman, MD
• Deborah A. Fisher, MD, MHS
• Devang Prajapati, MD
• Dipendra Parajuli, MD
• Doris H. Toro, MD
• Douglas J. Nguyen, MD
• E. Carter Paulson, MD
• Edward Sun, MD
• Endashaw Omer, MD, MPH
• Eric K. Taylor, NP
• Erik C. von Rosenvinge, MD
• Fadi Antaki, MD
• Frank S. Pancotto, MD
• Gyorgy Baffy, MD, PhD
• Heather Hockman, MD
• Heiko Pohl, MD
• Heiko Pohl, MD
• Helen W. Wong, MD
• Ildiko Halasz, MD
• Isabelita Cordoba Rellosa, MD
• Jed E. Olson, MD
• Jeffrey A. Gill, MD
• Jill E. Elwing, MD
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Local Site Investigators - Present • Joseph Manlolo, MD
• Joseph R. Pisegna, MD
• Katarina B. Greer, MD, MS
• Kittichai Promrat, MD
• Lyn Sue Kahng, MD
• Margaret F. Kinnard, MD
• Michael Yao, MD
• Michele Young, MD
• Mitchell Schubert, MD
• Mohammad Madhoun, MD
• Nancy C. Ho, MD
• Paul A. Feldman, MD, MSC
• Petr Protiva, MD
• Prateek Sharma, MD
• Priscilla Magno, MD
• Rebecca J. Beyth, MD, MSc
• Rhonda A. Cole, MD
• Riaz Cassim, MD
• Ronald Fernando, MD
• Sameer Saini, MD, MS
• Samir Gupta, MD, MSCS
• Samuel B. Ho, MD
• Stacy Menees, MD
• Stephan Goebel, MD
• Swati G. Patel, MD
• Tarun Rai, MD
• Thomas F. Imperiale, MD
• William M. Tierney, MD
• William V. Harford, Jr. MD
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Local Site Investigators - Past • Christopher Lopez, MD
• Dennis J. Ahnen, MD
• Farrukh H. Merchant, MD
• Fernando V. Ona, MD
• J. Andy Mengshol, MD, PhD
• Juan Diego Baltodano, MD
• Kenneth H. Berman, MD
• Lubna Maruf, MD
• M. Mazen Jamal, MD, MPH
• Mae F. Go, MD
• Marcos C. Pedrosa, MD, MPH
• Martin Tobi, MB, ChB
• Mohammad Wehbi, MD
• Phillip Schoenfeld, MD, MSEd, MSc
• Ranjan C.V. Mascarenhas, MD
• Robert D. Shaw, MD
• Shahnaz Sultan, MD, MHSc
• Steven R. Warlick, MD
• Susan Goldsmith, MD
• Toan D. Nguyen, MD
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CONFIRM is funded and being conducted by the Cooperative Studies Program
Office of Research and Development
Department of Veterans Affairs
Acknowledgements