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General Session III 01 Ho 04-25...General Session III ‐Christine Ho April 19, 2017 2017 National...
Transcript of General Session III 01 Ho 04-25...General Session III ‐Christine Ho April 19, 2017 2017 National...
General Session III ‐ Christine Ho April 19, 2017
2017 National TB Conference, Atlanta, Georgia National TB Controllers Association www.tbcontrollers.org 1
Sorting Out the Benefits of TST vs. IGRAs:A Head to Head Comparison Among 11,000 at
High Risk for LTBI
National Tuberculosis Conference
April 19, 2017
Christine S. Ho, M.D., M.P.H.
CDC TBESC Project Officer, SEOIB/DTBE
An estimated 13 million U.S. residents have LTBI
Up to 10 percent will develop TB in their lifetimes
To reach TB elimination, identifying and treating infected persons is critical
3 commercially available tests in the U.S.
Tuberculin Skin Test (TST)
Interferon‐gamma release assays (IGRAs)
• Quantiferon Gold In‐Tube (QFT)
• T.SPOT.TB (TSPOT)
Latent Tuberculosis Infection (LTBI): What We Already Know labile
US-born
*
*
Pre‐elimination target (<10/mill) met by ≈ 2025 if LTBI treatment rate quadrupled in 2008
Approach elimination (<1/mil) after 2030 if LTBI treatment rate quadrupled in 2008 and LTBI prevalence in FB arrivers reduced by 75%
A.N. Hill et al, Epidemiol Infect 2012;140:1862
Road to TB Elimination
TB elimination goal
**
General Session III ‐ Christine Ho April 19, 2017
2017 National TB Conference, Atlanta, Georgia National TB Controllers Association www.tbcontrollers.org 2
The truth ‐ no gold standard for LTBI diagnosis
The best testing strategy – unknown, testing policies vary across programs
TST alone
IGRA alone (categorical or quantitative results)
TST and IGRA sequentially
Data needed to evaluate how to best use these existing tests to improve clinical decision making in high‐risk populations in the U.S.
LTBI: What We Don’t Know…Yet
Tuberculosis Epidemiologic Studies Consortium(TBESC II)
Focus on LTBI
Conducts research to improve LTBI diagnostic tools, treatments, and approaches to accelerate the decline and achieve the goal of TB elimination
Ten sites in 11 states
Obtain data that influences policy decisions by
Determining which persons with LTBI are at the highest risk for developing TB disease
Determining, of these highest risk groups, who gets screened and treated for LTBI
Determining the best practices to find, screen and treat these highest risk groups
Creating a means to monitor changes in risk, uptake of screening, treatment and adverse events
Long‐term Goals for TBESC‐II
Focus on Prevention
General Session III ‐ Christine Ho April 19, 2017
2017 National TB Conference, Atlanta, Georgia National TB Controllers Association www.tbcontrollers.org 3
TBESC‐II: Focus on LTBI
Part A: Comparing Predictive Value of LTBI
Tests
Part B: Measuring the TB Prevention
Cascade
Part C: Closing the Gaps in the
Cascade
10 years
2016 20212011
Part D:Ultra‐short LTBI
Regimen Trial
Prospective, multi‐year cohort study
Main objectives
Evaluate agreement between TST and IGRAs
Determine the ability of each test to predict progression to TB disease
Research Questions Which tests or test combinations can best identify LTBI in specific high‐
risk populations in the U.S.?
Can test characteristics (e.g. positive and negative predictive values) be improved by changing testing strategy
Part A Overview
Close contact of a person with pulmonary TB
Foreign‐born from a high incidence country
Foreign‐born from a medium incidence country
who moved to the U.S. within the past 5 years
Spent ≥ 30 days in a high incidence country within the
last 5 years
Belongs to a population with a local LTBI prevalence
≥25% (e.g., homeless)
Part A Eligibility Criteria
General Session III ‐ Christine Ho April 19, 2017
2017 National TB Conference, Atlanta, Georgia National TB Controllers Association www.tbcontrollers.org 4
Part A Study Enrollment (July 2012 – present)
Studies Number enrolled
Total Part A participants 21,158
TSPOT split sample 546
QFT and TSPOT repeat 947
T‐cell Xtend 315
QFT‐Plus 495
Cost‐effectiveness 1679
Diabetes and LTBI ~500
Flow Diagram of TBESC Participants July 20, 2012 – September 28, 2014
Approached (n=14,682)
Enrolled (n=12,134 [82.6%])
Declined (n=2,548 [17.4%])
Analyzed (n=11,962 [98.6%])
Excluded from analysis (n=172 [1.4%])• Ineligible, mistakenly enrolled (n=68 [39.5%])• Diagnosed with TB during screening (n=44 [25.6%])• Invalid results for all 3 tests (n=60 [34.9%])
Age and Gender Distribution of TBESC ParticipantsJuly 20, 2012 – September 29, 2014 (N=11,962)
All Participants(N=11,962)
Foreign‐born(n=9,643)
US‐born(n=2,319)
Gender Female 5,661 (47.3) 4,856 (50.4) 805 (34.7)
Male 6,284 (52.5) 4,785 (49.6) 1,499 (64.6)
Other 17 (0.1) 2 (0.0) 15 (0.7)
Age <2 111 (0.9) 106 (1.1) 5 (0.2)
2‐4 405 (3.4) 384 (4.0) 21 (0.9)
5‐9 794 (6.6) 737 (7.6) 57 (2.5)
10‐14 889 (7.4) 826 (8.6) 63 (2.7)
15‐24 2,107 (17.6) 1,925 (20.0) 182 (7.9)
25‐44 4,465 (37.3) 3,758 (39.0) 707 (30.5)
45‐64 2,715 (22.7) 1,502 (15.6) 1,213 (52.3)
≥65 378 (3.2) 324 (3.3) 54 (2.3)
Missing 98 (0.8) 81 (0.8) 17 (0.7)
General Session III ‐ Christine Ho April 19, 2017
2017 National TB Conference, Atlanta, Georgia National TB Controllers Association www.tbcontrollers.org 5
Race/Ethnicity and Region of Birth of TBESC ParticipantsJuly 20, 2012 – September 29, 2014 (N=11,962)
Race or ethnicity (not mutually exclusive)
n (%)
American Indian/Alaska Native 80 (3.5)
Asian 69 (3.0)
Black/African American 1,326 (57.2)
White/Caucasian 624 (26.9)
Native Hawaiian/Pacific Islander 30 (1.3)
Hispanic/Latino 230 (9.9)
Other 63 (2.7)
Don't know/Refused 21 (0.9)
Region of birth n (%)
Africa 898 (9.3)
Americas 1,396 (14.5)
Eastern Mediterranean
1,593 (16.5)
Europe 92 (1.0)
Southeast Asia 3,253 (33.7)
Western Pacific 1,975 (20.5)
Unknown 436 (4.5)
U.S.‐born (n=2,319) Foreign‐born (n=9,643)
Reason for Enrollment for TBESC participantsJuly 20, 2012 – September 29, 2014 (N=11,962)
Reason for enrollment
All participants(n=11,962)
Foreign‐born(n=9,643)
US‐born(n=2,319)
N (%) N (%) N (%)
Close contact 1,052 (8.8) 660 (6.8) 392 (16.9)
Foreign‐born from high‐risk country* 8,152 (68.1) 8,152 (84.5)
Spent at least 30 days in high risk country in last 5 years 110 (0.9) 27 (0.3) 83 (3.6)
Foreign‐born from medium‐risk country who moved to US within the past 5 years
439 (3.7) 439 (4.6)
HIV‐positive 1,372 (11.5) 73 (0.8) 1,299 (56.0)
Member of a group with LTBI prevalence >25% 834 (7.0) 290 (3.0) 544 (23.5)
Unknown 3 (0.0) 2 (0.0) 1 (0.0)
*includes refugees and B waiver applicants
BCG Status and Medical Conditions of TBESC Participants, July 20, 2012 –September 29, 2014
Self‐reported conditions
All Participants(n=11,962)
n (%)
Foreign‐born(n=9,643)n (%)
U.S.‐born(n=2,319)n (%)
BCG Vaccination 6,332 (52.9) 6,218 (64.5) 114 (4.9)
Medical Condition
HIV+ 1,460 (12.2) 154 (1.6) 1,306 (56.3)
Liver disease 511 (4.3) 82 (0.9) 429 (18.5)
Chronic kidney failure 84 (0.7) 25 (0.3) 59 (2.5)
Diabetes 608 (5.1) 387 (4.0) 221 (9.5)
Immunosuppressive therapy 202 (1.7) 86 (0.9) 116 (5.0)
General Session III ‐ Christine Ho April 19, 2017
2017 National TB Conference, Atlanta, Georgia National TB Controllers Association www.tbcontrollers.org 6
Descriptive analysis of single and combination test results
Use Kappa statistics to examine test agreement at different combinations of IGRA test cut‐points
Compare ratio of LTBI prevalence by TST and by QFT with published literature
Use latent class analysis (LCA) to estimate the “true” prevalence of LTBI in our study population, as well as the sensitivities and specificities of each test
8 spots are greater considered positive for TSPOT (U.S. cut‐off)
Analytic Approach
Single Test LTBI Prevalence for Foreign‐born Persons Who Were Not Close Contacts
July 2012‐September 2014 (n=11,962)
0
10
20
30
40
50
60
<2 2‐4 5‐9 10‐14 15‐24 25‐44 45‐64 65+
Percent positive
Age group (years)
TST
QFT
T‐SPOT (Int)
T‐SPOT (US)*
Test Result CombinationsJuly 2012‐September 2014 (n=11,962)
Test result TST QFT TSPOT All Participantsn (%)
Foreign‐bornn (%)
U.S.‐bornn (%)
All 3 tests positive + + + 1612 (15) 1519 (17.5) 93 (4.5)
All 3 tests negative ‐ ‐ ‐ 6021 (56.1) 4290 (49.5) 1731 (83.9)
1 test positive+ ‐ ‐ 1980 (18.4) 1883 (21.7) 97 (4.7)
‐ + ‐ 279 (2.6) 200 (2.3) 79 (3.8)
‐ ‐ + 70 (0.7) 62 (0.7) 8 (0.4)
2 tests positive
+ + ‐ 471 (4.4) 442 (5.1) 29 (1.4)
‐ + + 156 (1.5) 134 (1.5) 22 (1.1)
+ ‐ + 151 (1.4) 146 (1.7) 5 (0.2)
General Session III ‐ Christine Ho April 19, 2017
2017 National TB Conference, Atlanta, Georgia National TB Controllers Association www.tbcontrollers.org 7
Test Combinations for Foreign‐born Persons Who Were Not Close Contacts, by Age Group
0
10
20
30
40
50
60
70
80
<2 2‐4 5‐9 10‐14 15‐24 25‐44 45‐64 65+
Percent
Age group (years)
Single IGRA+
TST+ only
2 tests +
3 tests +
n=97
n=360n=680
n=745
n=1,595
n=3,096
n=1,158
n=244
Kappa Measure of Test Agreement for Foreign‐born Persons
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
2‐4 5‐9 10‐14 15‐24 25‐44 45‐64 65+
Kappa
Age group (years)
TST vs. QFT TST vs. TSPOT QFT vs. TSPOT
Substantial agreement
Moderate agreement
Fair agreement
Slightagreement
Kappa Measure of Test Agreement for U.S.‐born Persons
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
2‐4 5‐9 10‐14 15‐24 25‐44 45‐64 65+
Kappa
Age group (years)
TST vs. QFT TST vs. TSPOT QFT vs. TSPOT
Substantial agreement
Moderate agreement
Fair agreement
Slightagreement
General Session III ‐ Christine Ho April 19, 2017
2017 National TB Conference, Atlanta, Georgia National TB Controllers Association www.tbcontrollers.org 8
TST & IGRA Agreement in the Literature:Ratio of LTBI Prevalence by TST/IGRA1
Year Country Population TST/IGRA Prevalence Ratio
2007 Italy Undocumented persons 0.3
2011 Iran Children 0.5
2011 U.S. Refugees 0.6
2008 Turkey Child household contacts 0.7
2010 Gambia Child household contacts QFT 0.8, TSPOT 0.8
1999 New Zealand Immigrants 0.8
2010 Italy Undocumented persons 0.8
2009 U.S. Refugee Somali women 1.0
2017 India Household contacts 1.0
2011 S. Africa High school cohort 1.0 (5),1.2 (10),1.3 (15)*
2015 U.S. National survey 1.3
2010 Hong Kong Silicosis patients 1.3
* mm cutoff points for TST1 LTBI prevalence by TST/ LTBI prevalence by IGRA
TST & IGRA Agreement in the Literature:Ratio of LTBI Prevalence by TST/IGRA1
Year Country Population Ratio of LTBI prevalence by TST/IGRA1
2009 Italy Recent immigrants 1.3
2010 Senegal Contacts 1.4 (~6 spots), 1.2 (~8 spots)
2010 Norway Recent immigrants 1.7 (6), 0.5 (15)*
2011 Germany Child contacts 1.8 (5), 1.8 (10)*
2014 S. Korea Children 2.1 (10) 0.7 (15)*
2008 Germany Foreign‐born contacts 3.6 (5), 1.2 (10)*
2014 Turkey Children ∞
2013 Vietnam U.S. visa applicants > 15 years old 2.1(5),1.4 (10),0.7(15) normal CXR
1.2(5), 0.9 (10),0.49(15) abnormal CXR
2008 Australia Child contacts or immigrants 2.3(5), 2.0(10), 1.9(15) QFT
3(5), 2.5(10), 2.4(15) TSPOT
* mm cutoff points for TST1 LTBI prevalence by TST/ LTBI prevalence by IGRA
Ratio of LTBI Prevalence by TST/IGRA in TBESC Cohort
Age TST/QFT1 TST/TSPOT1
<2 ∞ ∞
2‐4 5 11
5‐9 2 3
10‐14 2 3
15‐24 2 2
25‐44 2 2
45‐64 1 2
65+ 1 1
Total 2 2
Group TST/QFT1 TST/TSPOT1
U.S.‐Born 0.9 1.5
Foreign‐born 1.6 2
Foreign‐born <5 8 16
Foreign‐born>5 2 2
U.S.‐born>65 1.5 2
Foreign‐born>65 0.9 1.1
1 LTBI prevalence by TST/ LTBI prevalence by IGRA
General Session III ‐ Christine Ho April 19, 2017
2017 National TB Conference, Atlanta, Georgia National TB Controllers Association www.tbcontrollers.org 9
Requires at least 3 separate measurements of the phenomenon of interest ( TST, QFT, TSPOT to measure latent TB)
Uses patterns of correlations among tests to derive a latent (not observable) gold standard
With 3 tests can separate into 2 groups—here assumed to be with and without LTBI
Provides estimates of LTBI prevalence, sensitivity, and specificity of each test for LTBI
Also systematically examined whether test performance was the same across 3 groups:
Foreign‐born vs. US‐born
HIV+ vs. HIV‐
Children <5 vs. people aged 5 and older
Latent Class Analysis (LCA)
Performance Characteristics of LTBI Tests by LCA for
Foreign‐born persons with Age ≥5 years (n=8,018)Preliminary Results
Sensitivity
(95% CrI*)
Specificity
(95% CrI*)
Positive
Predictive Value
(95% CrI*)
Negative
Predictive Value
(95% CrI*)
LTBI Prevalence: 37.9 (32.6‐42.9)
TST 74.8% (67.2‐82.4) 69.6% (67.7‐71.4) 60.0% (56.4‐62.7) 81.8% (73.8‐89.3)
QFT 71.6% (63.3‐79.9) 98.9% (97.8‐99.9) 97.6% (94.0‐99.6) 85.0% (78.5‐91.1)
TSPOT 70.3% (61.4‐79.1) 99.4% (98.6‐100) 98.6% (95.8‐99.8) 84.5% (77.8‐91.0)
*CrI=credible interval
What This Means for the Clinician: High‐risk for LTBI Population
LTBI No LTBI
TST+ 285 186 471
TST‐ 95 434 529
380 620 1000
• Sensitivity of 75%• Specificity of 70%Of 1000 people—• 39% (186/471) of TST+ don’t have LTBI• Positive predictive value (PPV) is 61%• 25% (95/380) with LTBI are missed
Hypothetical cohort of 1000 foreign‐born patients ≥5 yrs (38% LTBI prevalence)
LTBI No LTBI
IGRA+ 266 12 278
IGRA‐ 114 608 722
380 620 1000
• Sensitivity of 70%• Specificity of 98%Of 1000 people—• 4% (12/278) with IGRA+ don’t have LTBI• PPV is 96%• 30% (114/380) with LTBI are missed
• 174 extra people diagnosed by TST that don’t have LTBI• 19 people with LTBI would be missed by IGRA
General Session III ‐ Christine Ho April 19, 2017
2017 National TB Conference, Atlanta, Georgia National TB Controllers Association www.tbcontrollers.org 10
Performance Characteristics of LTBI Tests by LCA for
Foreign‐born Children <5 years (n=463)
Preliminary Results
Sensitivity
(95% CrI*)
Specificity
(95% CrI*)
Positive
Predictive Value
(95% CrI*)
Negative
Predictive Value
(95% CrI*)
LTBI Prevalence: 4.2 (1.9‐6.7)
TST 68.8% (58.2‐79.1) 74.0% (69.7‐78.0) 10.2% (5.0‐16.9) 98.3% (96.7‐99.3)
QFT 70.4% (54.4‐86.1) 98.9% (97.7‐99.9) 73.8% (43.3‐95.5) 98.7% (97.3‐99.6)
TSPOT 58.9% (42.5‐75.7) 99.0% (98.1‐99.9) 71.9% (45.4‐93.2) 98.2% (96.5‐99.4)
*CrI=credible interval
Performance Characteristics of LTBI Tests by LCA forChildren <5 years (n=463)
TST TSTQFT QFTT‐SPOT T‐SPOT
What This Means for the Clinician: BCG‐vaccinated Children for LTBI Population
LTBI No LTBI
TST+ 28 186 214
TST‐ 12 774 786
40 960 1000
• Sensitivity of 70%• Specificity of 74%Of 1000 people—• 87% (186/214) of TST+ don’t have LTBI• Positive predictive value (PPV) is 13%• 30% (12/40) with LTBI are missed
Hypothetical cohort of 1000 foreign‐born children <5 yrs (4% LTBI prevalence)
LTBI No LTBI
IGRA+ 28 10 38
IGRA‐ 12 950 962
40 960 1000
• Sensitivity of 70%• Specificity of 99%Of 1000 people—• 26% (10/38) with IGRA+ don’t have LTBI• PPV is 74%• 30% (12/40) with LTBI are missed
• 176 extra people diagnosed by TST that don’t have LTBI• 12 people with LTBI would be missed by both TST and IGRA
General Session III ‐ Christine Ho April 19, 2017
2017 National TB Conference, Atlanta, Georgia National TB Controllers Association www.tbcontrollers.org 11
Comparison of LTBI Prevalence Estimates
Source Group LTBI Prevalence
TBESC by LCA Foreign‐born, HIV(‐), >5 years old 37‐38%
NHANES Foreign‐born persons by TST 21%
NHANES Foreign‐born persons by IGRA 16%
TBESC by LCA Foreign‐born, HIV(‐), <5 years old 4‐5%
TBESC by LCA U.S.‐born, HIV(+), >5 years old 3‐5%
NHANES U.S.‐born persons by TST 1.5%
NHANES U.S.‐born persons by IGRA 3%
• LTBI prevalence among foreign‐born is several fold higher using any analytic method• LTBI prevalence among foreign‐born children <5 is low; similar to NHANES U.S.‐born estimates• U.S.‐born persons uninfected by HIV were only enrolled in TBESC if high‐risk (contacts, etc.) so not comparable
to general U.S.‐born population• LTBI prevalence among U.S.‐born HIV‐infected persons similar to NHANES U.S.‐born estimates
Caveats for Using Latent Class Analysis (LCA)
LCA assumes conditional independence of the three tests
Some conditional dependence exists ‐ LTBI tests all depend on response to shared antigens
Use statistical techniques to correct for this dependence
Bayesian analysis, random effects model, mixed effects model
See if different models converge on similar results
Analyzing continuous and categorical results
Rectifying differences between models
Next steps
Adding clinical factors into the model (abnormal CXR, source case characteristics)
Summary
TBESC has largest cohort data on LTBI testing which compares all 3 tests
Discordance between TST and IGRA greatest for children <5 but present for all age groups
Ratio of LTBI prevalence by TST/IGRA from TBESC cohort fits within range of published studies
LCA provides a method to estimate prevalence and test characteristics in the absence of a reference standard for LTBI
LTBI prevalence estimates by LCA for U.S.‐born and foreign‐born similar to NHANES
LTBI prevalence estimates for foreign‐born children <5 by LCA similar to prevalence for low‐incidence settings
Specificity of diagnostic test drives the rates of false‐positive results, IGRAs more specific
Follow‐up for progression to TB is the true litmus test for test performance
General Session III ‐ Christine Ho April 19, 2017
2017 National TB Conference, Atlanta, Georgia National TB Controllers Association www.tbcontrollers.org 12
TBESC Acknowledgements
CDC/TBESC
Tom Navin
Dolly Katz
Thara Venkatappa
Pei‐Jean Feng
Jim Wu
Rose Punnoose
Matt Whipple
Michael Chen
Andy Vernon
Part A manuscript WG
Jason Stout
Richard Garfein
Renuka Khurana
Randall Reves
Michael Lauzardo
Lisa Pascopella
Smita Ghosh
TBESC Principal Investigators
TBESC Project Coordinators
TBESC Advisory Committee
Study participants
Part A study and sub‐studies
Comparison of TST, QFT‐GIT, TSPOT.TB
2 year follow‐up for active TB
Split TSPOT.TB samples
Repeat QFT‐IT and TSPOT.TB within 76 hours
T‐cell Xtend sub‐study
Compare 4th generation QFT‐Plus with 3 other tests
Cost‐effectiveness of LTBI diagosis and treatment strategies
Main Study
IGRA Reproducibility Sub‐studies
QFT‐Plus
Cost‐effectiveness Study
Test result combinations for adults>65, Foreign‐born and US‐born populations
Test combinationAll Participants Foreign‐Born US‐Born
n(%) n(%) n(%)
Triple Positive (+++) 66 (19.8) 62 (21.9) 4 (7.8)
Triple Negative (‐‐‐) 168 (50.3) 126 (44.5) 42 (82.4)
Isolated TST+ (+‐‐) 29 (8.7) 24 (8.5) 5 (9.8)
Isolated QFT+ (‐+‐) 19 (5.7) 19 (6.7) 0 (0.0)
Isolated TSPOT+ (‐‐+) 8 (2.4) 8 (2.8) 0 (0.0)
TST+ and QFT+ (++‐) 17 (5.1) 17 (6.0) 0 (0.0)
QFT+ and TSPOT+ (‐++) 20 (6.0) 20 (7.1) 0 (0.0)
TST+ and TSPOT+ (+‐+) 7 (2.1) 7 (2.5) 0 (0.0)
Total334 283 51
General Session III ‐ Christine Ho April 19, 2017
2017 National TB Conference, Atlanta, Georgia National TB Controllers Association www.tbcontrollers.org 13
What This Means for the Clinician: Low Prevalence Population
LTBI No LTBI
TST+ 18 359 377
TST‐ 12 9611 9623
30 9970 1000
• Sensitivity of 61%• Specificity of 96%
Of 1000 people—• 95% (359/377) with positive
TST don’t have LTBI• 12 /30 with LTBI are missed
Hypothetical cohort of 1000 US‐born HIV+ patients (3% LTBI prevalence)
Predictive Value of Test Combinations for foreign‐born children<5
Test Combination (TST/QFT/TSPOT) Positive Predictive Value
‐‐‐ 0.5% (0‐1.8%)
‐‐+ 26.9% (0‐66.7)
‐+‐ 38.0% (0‐100)
‐++ N/A
+‐‐ 1.3% (0‐3.5)
+‐+ 56.0% (0‐100)
++‐ 67.3% (16.7‐100)
+++ 99.2% (88.9‐100)
Effect of Small Difference in Specificityin Low‐Prevalence Population
LTBI NoLTBI
IGRA1 + 28 39 67
IGRA1‐ 2 931 933
30 970 1000
• Sensitivity of 91.8%• Specificity of 96%Of 1000 people—• 58% (39/67) with IGRA1+
don’t have LTBI• Positive predictive value (PPV)
is 42%• 2/200 with LTBI are missed
Hypothetical cohort of 1000 FB‐born children <5 (3% LTBI prevalence)
LTBI NoLTBI
IGRA2+ 28 10 38
IGRA2‐ 2 960 962
30 970 1000
• Sensitivity of 91.8%• Specificity of 99%Of 1000 people—• 26% (10/38) with IGRA+
don’t have LTBI• PPV is 74%• 2/200 with LTBI are missed