Outlook for tuberculosis elimination in California: An individual-based stochastic model

被引:16
|
作者
Goodell, Alex J. [1 ,2 ]
Shete, Priya B. [2 ,3 ,4 ]
Vreman, Rick [2 ]
Mccabe, Devon [1 ,2 ]
Porco, Travis C. [2 ,5 ,6 ]
Barry, Pennan M. [7 ]
Flood, Jennifer [7 ]
Marks, Suzanne M. [8 ]
Hill, Andrew [8 ]
Cattamanchi, Adithya [3 ,4 ]
Kahn, James G. [2 ,6 ,9 ]
机构
[1] Stanford Univ, Sch Med, Palo Alto, CA 94304 USA
[2] Univ Calif San Francisco, CAPE, San Francisco, CA 94143 USA
[3] Univ Calif San Francisco, Div Pulm & Crit Care Med, San Francisco, CA 94143 USA
[4] Univ Calif San Francisco, Curry Int TB Ctr, San Francisco, CA 94143 USA
[5] Univ Calif San Francisco, Proctor Fdn, San Francisco, CA 94143 USA
[6] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA 94143 USA
[7] Calif Dept Publ Hlth, TB Control Branch, Richmond, CA USA
[8] Ctr Dis Control & Prevent, Div TB Eliminat, Natl Ctr HIV Hepatitis STI & TB Prevent, Atlanta, GA USA
[9] Univ Calif San Francisco, Philip R Lee Inst Hlth Policy Studies, San Francisco, CA 94143 USA
来源
PLOS ONE | 2019年 / 14卷 / 04期
关键词
UNITED-STATES; RHEUMATOID-ARTHRITIS; ULCERATIVE-COLITIS; COST-EFFECTIVENESS; CROHNS-DISEASE; GLOBAL BURDEN; INFECTION; PREVALENCE; RIFAPENTINE; CHILDREN;
D O I
10.1371/journal.pone.0214532
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Rationale As part of the End TB Strategy, the World Health Organization calls for low-tuberculosis (TB) incidence settings to achieve pre-elimination (<10 cases per million) and elimination (<1 case per million) by 2035 and 2050, respectively. These targets require testing and treatment for latent tuberculosis infection (LTBI). Objectives To estimate the ability and costs of testing and treatment for LTBI to reach pre-elimination and elimination targets in California. Methods We created an individual-based epidemic model of TB, calibrated to historical cases. We evaluated the effects of increased testing (QuantiFERON-TB Gold) and treatment (three months of isoniazid and rifapentine). We analyzed four test and treat targeting strategies: (1) individuals with medical risk factors (MRF), (2) non-USB, (3) both non-USB and MRF, and (4) all Californians. For each strategy, we estimated the effects of increasing test and treat by a factor of 2, 4, or 10 from the base case. We estimated the number of TB cases occurring and prevented, and net and incremental costs from 2017 to 2065 in 2015 U.S. dollars. Efficacy, costs, adverse events, and treatment dropout were estimated from published data. We estimated the cost per case averted and per quality-adjusted life year (QALY) gained. Measurements and main results In the base case, 106,000 TB cases are predicted to 2065. Pre-elimination was achieved by 2065 in three scenarios: a 10-fold increase in the non-USB and persons with MRF (by 2052), and 4- or 10-fold increase in all Californians (by 2058 and 2035, respectively). TB elimination was not achieved by any intervention scenario. The most aggressive strategy, 10-fold in all Californians, achieved a case rate of 8 (95% UI 4-16) per million by 2050. Of scenarios that reached pre-elimination, the incremental net cost was $20 billion (non-USB and MRF) to $48 billion. These had an incremental cost per QALY of $657,000 to $3.1 million. A more efficient but somewhat less effective single-lifetime test strategy reached as low as $80,000 per QALY. Conclusions Substantial gains can be made in TB control in coming years by scaling-up current testing and treatment in non-USB and those with medical risks.
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页数:15
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