1
|
Apriani L, McAllister S, Sharples K, Aini IN, Nurhasanah H, Ratnaningsih DF, Indrati AR, Ruslami R, Alisjahbana B, van Crevel R, Hill PC. Tuberculin skin test and Interferon-gamma release assay agreement, and associated factors with latent tuberculosis infection, in medical and nursing students in Bandung, Indonesia. PLoS One 2024; 19:e0299874. [PMID: 38498488 PMCID: PMC10947906 DOI: 10.1371/journal.pone.0299874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 02/16/2024] [Indexed: 03/20/2024] Open
Abstract
BACKGROUND No gold standard diagnostic test exists for latent tuberculosis infection (LTBI). The intra-dermal tuberculin skin test (TST) has known limitations and Interferon-gamma release assays (IGRA) have been developed as an alternative. We aimed to assess agreement between IGRA and TST, and risk factors for test positivity, in Indonesian healthcare students. METHODS Medical and nursing students starting their clinical training were screened using IGRA and TST. Agreement between the two tests was measured using Cohen's Kappa coefficient. Logistic regression was used to identify factors associated with test positivity. RESULTS Of 266 students, 43 (16.2%) were IGRA positive and 85 (31.9%) TST positive. Agreement between the two tests was 74.7% (kappa 0.33, 95% CI 0.21-0.45, P<0.0001). Students who had direct contact with family or friends with TB were less likely to be test positive using IGRA (AOR 0.18, 95% CI 0.05-0.64) and using TST (AOR 0.51, 95% CI 0.26-0.99). CONCLUSION Test positivity for LTBI was lower when measured by IGRA than by TST, with poor agreement between the two tests. Known close TB contact was unexpectedly negatively associated with positivity by either test. Longitudinal studies may be required to help determine the best test for LTBI in healthcare students in Indonesia.
Collapse
Affiliation(s)
- Lika Apriani
- TB Working Group, Research Center for Care and Control of Infectious Disease, Universitas Padjadjaran, Bandung, Indonesia
- Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- Centre for International Health, Division of Health Sciences, University of Otago, Dunedin, New Zealand
| | - Susan McAllister
- Centre for International Health, Division of Health Sciences, University of Otago, Dunedin, New Zealand
| | - Katrina Sharples
- Centre for International Health, Division of Health Sciences, University of Otago, Dunedin, New Zealand
- Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand
| | - Isni Nurul Aini
- TB Working Group, Research Center for Care and Control of Infectious Disease, Universitas Padjadjaran, Bandung, Indonesia
| | - Hanifah Nurhasanah
- TB Working Group, Research Center for Care and Control of Infectious Disease, Universitas Padjadjaran, Bandung, Indonesia
| | - Dwi Febni Ratnaningsih
- TB Working Group, Research Center for Care and Control of Infectious Disease, Universitas Padjadjaran, Bandung, Indonesia
| | - Agnes Rengga Indrati
- TB Working Group, Research Center for Care and Control of Infectious Disease, Universitas Padjadjaran, Bandung, Indonesia
- Department of Clinical Pathology, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Rovina Ruslami
- TB Working Group, Research Center for Care and Control of Infectious Disease, Universitas Padjadjaran, Bandung, Indonesia
- Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Bachti Alisjahbana
- TB Working Group, Research Center for Care and Control of Infectious Disease, Universitas Padjadjaran, Bandung, Indonesia
- Department of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Reinout van Crevel
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Philip C Hill
- Centre for International Health, Division of Health Sciences, University of Otago, Dunedin, New Zealand
| |
Collapse
|
2
|
Navarro CE, Betancur JE. Cost-Effectiveness Analysis Comparing QuantiFERON-TB Gold Plus Test and Tuberculin Skin Test for the Diagnosis of Latent Tuberculosis Infection in Immunocompetent Subjects in Colombia. Value Health Reg Issues 2024; 41:54-62. [PMID: 38241885 DOI: 10.1016/j.vhri.2023.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 11/09/2023] [Accepted: 11/21/2023] [Indexed: 01/21/2024]
Abstract
OBJECTIVES To determine the cost-effectiveness of the QuantiFERON-TB Gold Plus (QFT-Plus) test versus the tuberculin skin test in diagnosing latent tuberculosis infection in immunocompetent subjects in the context of the Colombian healthcare system. METHODS A hypothetical cohort of 2000 immunocompetent adults vaccinated with Bacillus Calmette-Guérin at birth who are asymptomatic for tuberculosis disease was simulated and included in a decision tree over a horizon of <1 year. The direct healthcare costs related to tests, antituberculosis treatment, and medical care were considered, and diagnostic performance was used as a measure of effectiveness. The incremental cost-effectiveness ratio (ICER) was estimated, and univariate deterministic and probabilistic sensitivity analyses were carried out using 5000 simulations. The currency was the US dollar for the year 2022, with a cost-effectiveness threshold of $6666 USD (1 gross domestic product per capita for 2022). RESULTS QFT-Plus was cost-effective with an ICER of $5687 USD for each correctly diagnosed case relative to a threshold of $6666 USD. In the deterministic analysis, QFT-Plus was cost-effective in half of the proposed scenarios. The variable that most affected the ICER was the prevalence of latent tuberculosis and test sensitivities. In the probabilistic analysis, QFT-Plus was cost-effective in 54.74% of the simulated scenarios, and tuberculin skin test was dominant in 13.84%. CONCLUSIONS The study provides evidence of the cost-effectiveness of QFT-Plus compared with the tuberculin skin test in diagnosing latent tuberculosis infection in immunocompetent adults in the Colombian context.
Collapse
Affiliation(s)
- Cristian E Navarro
- School of Economic Sciences and School of Medicine, Universidad de Antioquia, Colombia, Medellín; Grupo de Investigación E.S.E Hospital Emiro Quintero Cañizares, Colombia, Ocaña.
| | - John E Betancur
- School of Economic Sciences and School of Medicine, Universidad de Antioquia, Colombia, Medellín
| |
Collapse
|
3
|
Corbett C, Kalmambetova G, Umetalieva N, Ahmedov S, Antonenka U, Myrzaliev B, Sahalchyk E, Vogel M, Kadyrov A, Hoffmann H. QuantiFERON-TB Gold plus testing for the detection of LTBI among health care workers in major TB hospitals of the Northern Kyrgyz Republic. BMC Infect Dis 2022; 22:180. [PMID: 35197008 PMCID: PMC8867784 DOI: 10.1186/s12879-022-07149-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 02/12/2022] [Indexed: 11/24/2022] Open
Abstract
Background Health care workers (HCW) are at increased risk of TB infection due to their close contact with infected patients with active TB. The objectives of the study were (1) to assess the prevalence of LTBI among HCW in the Northern Kyrgyz Republic, and (2) to determine the association of LTBI with job positions or departments. Methods HCWs from four TB hospitals in the Northern Kyrgyz Republic were tested with the interferon-gamma release assay (IGRA) Quantiferon-TB Gold plus (QFT) for the detection of an immune response to TB as marker of TB infection. Age was controlled for as a confounder. Univariate and multivariable analysis were performed using logistic regression to assess the association of the risk factors (job position, and department) with having a QTF positive result. Firth’s penalized-likelihood estimates were used to account for the small-sample size. Pairwise comparisons using the Bonferroni correction (conservative) and comparisons without adjusting for multiple comparisons (unadjusted) were used to identify the categories where differences occurred. Results QFT yielded valid results for 404 HCW, with 189 (46.7%) having a positive test. In the National Tuberculosis Center there was an increased odds to have a positive QFT test for the position of physician (OR = 8.7, 95%, CI = 1.2–60.5, p = 0.03) and laboratory staff (OR = 19.8, 95% CI = 2.9–135.4, p < 0.01) when administration staff was used as the baseline. When comparing departments for all hospitals combined, laboratories (OR 7.65; 95%CI 2.3–24.9; p < 0.001), smear negative TB (OR 5.90; 95%CI 1.6–21.8; p = 0.008), surgery (OR 3.79; 95%CI 1.3–11.4; p = 0.018), and outpatient clinics (OR 3.80; 95%CI 1.1–13.0; p = 0.03) had higher odds of a positive QFT result than the admin department. Fifteen of the 49 HCW with follow-up tests converted from negative to positive at follow-up testing. Conclusions This is the first report on prevalence and risk factors of LTBI for HCW in the Kyrgyz republic, and results indicate there may be an increased risk for LTBI among physicians and laboratory personnel. Further research should investigate gaps of infection control measures particularly for physicians and laboratory staff and lead to further improvement of policies.
Collapse
Affiliation(s)
- Caroline Corbett
- Institute of Microbiology and Laboratory Medicine, Department IML Red GmbH, WHO, Supranational Tuberculosis Reference Laboratory, Robert-Koch-Allee 2, Gauting, 82131, Munich, Germany.
| | | | - Nagira Umetalieva
- Institute of Microbiology and Laboratory Medicine, Department IML Red GmbH, WHO, Supranational Tuberculosis Reference Laboratory, Robert-Koch-Allee 2, Gauting, 82131, Munich, Germany.,Republican Tuberculosis Reference Laboratory, Bishkek, Kyrgyzstan
| | - Sevim Ahmedov
- USAID, Bureau for Global Health, TB Division, Washington, DC, USA
| | - Uladzimir Antonenka
- Institute of Microbiology and Laboratory Medicine, Department IML Red GmbH, WHO, Supranational Tuberculosis Reference Laboratory, Robert-Koch-Allee 2, Gauting, 82131, Munich, Germany
| | - Bakyt Myrzaliev
- KNCV Branch Office in the Kyrgyz Republic, Bishkek, Kyrgyzstan
| | - Evgeni Sahalchyk
- Institute of Microbiology and Laboratory Medicine, Department IML Red GmbH, WHO, Supranational Tuberculosis Reference Laboratory, Robert-Koch-Allee 2, Gauting, 82131, Munich, Germany
| | - Monica Vogel
- Institute of Microbiology and Laboratory Medicine, Department IML Red GmbH, WHO, Supranational Tuberculosis Reference Laboratory, Robert-Koch-Allee 2, Gauting, 82131, Munich, Germany
| | - Abdylat Kadyrov
- Republican Tuberculosis Center, National TB Program, Bishkek, Kyrgyzstan
| | - Harald Hoffmann
- Institute of Microbiology and Laboratory Medicine, Department IML Red GmbH, WHO, Supranational Tuberculosis Reference Laboratory, Robert-Koch-Allee 2, Gauting, 82131, Munich, Germany.,SYNLAB Gauting, SYNLAB MVZ Humane Genetics, Munich, Germany
| |
Collapse
|
4
|
Sepehri N, Saghanezhad SM, Khoddami F, Arasteh A, Delirakbariazar M, Khaledi A. Meta-analysis of latent tuberculosis in healthcare workers in Iran: a retrospective review. Trans R Soc Trop Med Hyg 2021; 115:965-974. [PMID: 33537763 DOI: 10.1093/trstmh/trab006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 10/21/2020] [Accepted: 01/08/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Here we review the status of latent tuberculosis (LTB) in Iranian healthcare workers (HCWs). METHODS A literature search was conducted using keywords according to the Preferred Reporting Items for Systematic Review and Meta-Analyses instructions. Cross-sectional studies published from 1 January 2000 through 1 January 2019 were retrieved. Meta-analysis was performed using Comprehensive Meta-Analysis software using the random effects model, Cochran's Q and I2 tests. Publication bias was estimated by funnel plot and Egger's linear regression test. RESULTS Among 774 articles retrieved in the primary literature search, 21 studies met the eligibility criteria. No publication bias was observed among the included studies (p=0.07). The prevalence of LTB ranged from 7% to 63% in Iranian HCWs from different geographical areas. The overall combined prevalence of LTB among Iranian HCWs was 30.9% (95% confidence interval 24.2 to 38.5). Also, 52.4% of the included studies showed a significant correlation between occupation and LTB incidence (p<0.05). CONCLUSIONS The prevalence of LTB was high among Iranian HCWs. This requires developing comprehensive information databases and surveillance systems for detecting LTB among HCWs. It is also essential to periodically screen for LTB in HCWs to provide a timely diagnosis of the infection. It is recommended to perform a tuberculin skin test, a useful tool for screening and treatment of LTB, on an annual basis in HCWs.
Collapse
Affiliation(s)
| | | | - Farshad Khoddami
- School of Pharmacy, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Amin Arasteh
- Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Azad Khaledi
- Infectious Diseases Research Center, Kashan University of Medical Science, Kashan, Iran.,Department of Microbiology and Immunology, School of Medicine, Kashan University of Medical Science, PO Box 87155.111, Kashan 87154, Iran
| |
Collapse
|
5
|
Tuberculosis diagnosis: algorithm that May discriminate latent from active tuberculosis. Heliyon 2019; 5:e02559. [PMID: 31692671 PMCID: PMC6806400 DOI: 10.1016/j.heliyon.2019.e02559] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 02/08/2019] [Accepted: 09/27/2019] [Indexed: 01/26/2023] Open
Abstract
Diagnosis of tuberculosis still faces a lot of challenges and is one of the priorities in the field of tuberculosis management. Deciphering the complex tuberculosis pathogenicity network could provide biomarkers for diagnosis. We discussed the distribution of HLA-B17, -DQB and -DRB together with QuantiFERON test results in tuberculosis infection. A case control study was done during which a total of 337 subjects were enrolled comprising 227 active tuberculosis (ATB), 46 latent tuberculosis infection (LTBI) and 64 healthy controls (HC). Sequence-specific primer polymerase chain reaction and immune epitope database were used to genotype samples and determine the epitope binding ability of the over-represented alleles respectively. QuantiFERON test was done according to manufacturer's instructions. The peptides HLA-B*5801 and HLA-DRB1*12 and the peptides HLA-B*5802 and HLA-DQB1*03 were found to be associated with latent tuberculosis while the haplotypes DRB1*10-DQB1*02 and DRB1*13-DQB1*06 were found to be associated with active tuberculosis (All p-values≤0.05). The association of HLA-B*5801 and HLA-B*5802 with latent tuberculosis was linked to their ability to bind or not mycobacterial antigens. DRB1*10-DQB1*02 haplotype was found to be over-represented in LTBI compared to ATB (p-value = 0.0015) while DRB1*13-DQB1*06 was found to be under-represented in LTBI compared to ATB (p-value = 0.0335). The DRB1*10-DQB1*02 haplotype was only found in the LTBI when compared with the ATB group. The present study suggests the following algorithm to discriminate LTBI from ATB: QuantiFERON+ and DRB1*10-DQB1*02 haplotype + may indicate LTBI; QuantiFERON+ and DRB1*10-DQB1*02 haplotype - may indicate ATB.
Collapse
|
6
|
Sellami M, Fazaa A, Cheikh M, Miladi S, Ouenniche K, Ennaifer R, Ben Abdelghani K, Laatar A. Screening for latent tuberculosis infection prior to biologic therapy in patients with chronic immune-mediated inflammatory diseases (IMID): Interferon-gamma release assay (IGRA) versus tuberculin skin test (TST). EGYPTIAN RHEUMATOLOGIST 2019. [DOI: 10.1016/j.ejr.2018.11.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
|
7
|
Khan I, Ahmad N, Khan S, Muhammad S, Ahmad Khan S, Ahmad I, Khan A, Gulalai, Atif M. Evaluation of treatment outcomes and factors associated with unsuccessful outcomes in multidrug resistant tuberculosis patients in Baluchistan province of Pakistan. J Infect Public Health 2019; 12:809-815. [PMID: 31056438 DOI: 10.1016/j.jiph.2019.04.009] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2018] [Revised: 12/15/2018] [Accepted: 04/11/2019] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Evaluating treatment outcomes of a cohort of patients is an effective way for analyzing the effectiveness of a program. Information regarding drug resistance pattern, detailed management, treatment outcomes and factors associated with unsuccessful outcomes in multidrug resistant (MDR-TB) patients is missing from Baluchistan province of Pakistan. METHODS This study was carried out at Programmatic Management of Drug Resistant TB unit at Fatimah Jinnah General and Chest Hospital Quetta. All eligible 186 MDR-TB patients enrolled at the study site from January 1, 2012 to April 30, 2016 were retrospectively followed until the treatment outcomes were reported. Data was abstracted through a standardized data collection form and analysed by SPSS 20. Multivariate binary logistic regression (MVBLR) analysis was used to evaluate factors associated with i) death and treatment failure and ii) lost to follow up. A p-value of <0.05 was considered statistically significant. RESULTS The study participants were resistant to a median of four drugs (range 2-8) with majority being resistant to any second-line anti-TB drug (SLD) (55.5%). Among SLD, resistance was highest for ofloxacin (52.2%). The study site had an overall treatment success rate of 71.6%. A total of 129 (69.4%) patients were cured, four (2.2%) completed treatment, 37 died (19.9%), 14 (7.5%) were lost to follow up and two (1.1%) were declared treatment failures. In MVBLR analysis, patients' age of >40 years (OR = 4.249, p-value = 0.001) had statistically significant positive and baseline body weight of >40 kg (OR = 0.256, p-value = 0.002) had statistically significant negative association with death and treatment failure. No factor had statistical significant association with lost to follow up. CONCLUSION Overall treatment success rate was promising but did not achieve the target success rate (>75%) set by World Health Organization. It can be further improved by paying special attention and providing enhanced management to the patients with risk factors for unsuccessful outcomes.
Collapse
Affiliation(s)
- Imran Khan
- Department of Pharmacy Practice, Faculty of Pharmacy and Health Sciences, University of Baluchistan Quetta, Pakistan
| | - Nafees Ahmad
- Department of Pharmacy Practice, Faculty of Pharmacy and Health Sciences, University of Baluchistan Quetta, Pakistan.
| | | | - Shafi Muhammad
- Department of Pharmacognosy, Faculty of Pharmacy and Health Sciences, University of Baluchistan Quetta, Pakistan
| | - Shabir Ahmad Khan
- Centre of excellence in Vaccinology & Biotechnology, University of Baluchistan Quetta, Pakistan
| | - Izaz Ahmad
- Department of Biology, Syed Babar Ali School of Science and Engineering, Lahore University of Management Sciences Lahore, Pakistan
| | - Asad Khan
- Department of Pharmacy Practice, Faculty of Pharmacy and Health Sciences, University of Baluchistan Quetta, Pakistan
| | - Gulalai
- Department of Pharmacy Practice, Faculty of Pharmacy and Health Sciences, University of Baluchistan Quetta, Pakistan
| | - Muhammad Atif
- Department of Pharmacy, The Islamia University Bahawalpur, Bahawalpur, Pakistan
| |
Collapse
|
8
|
Liu D, Hao K, Wang W, Peng C, Dai Y, Jin R, Xu W, He L, Wang H, Wang H, Zhang L, Wang Q. Rv2629 Overexpression Delays Mycobacterium smegmatis and Mycobacteria tuberculosis Entry into Log-Phase and Increases Pathogenicity of Mycobacterium smegmatis in Mice. Front Microbiol 2017; 8:2231. [PMID: 29187838 PMCID: PMC5694894 DOI: 10.3389/fmicb.2017.02231] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 10/31/2017] [Indexed: 12/11/2022] Open
Abstract
Objective: The aim of the present study was to explore the potential biological role of Rv2629 in Mycobacterium smegmatis and Mycobacterium tuberculosis.Methods: Recombinant wild type and mutant Rv2629 strains were constructed. Rv2629 expression was evaluated by real-time PCR and western blot. Microarray and interaction network analyses were used to identify the gene interactions associated with wild type and mutant Rv2629. Bacterial growth was assessed in Balb/c mice infected with wild type and mutant Rv2629 strains using CFU assay and histological analysis of the organs. Results: Overexpression of Rv2629 could delay the entry of the Mycobacterium tuberculosis cells into the log-phase, while Rv2629 decreased the number of ribosomes and the expression of uridylate kinase in Mycobacterium smegmatis. The Gene Ontology (GO) and pathway analysis indicated that 122 genes correlated with wild type Rv2629, whereas the Rv2629 mutation led to decrease in the ribosome production, oxidative phosphorylation, and virulence in Mycobacterium tuberculosis. Overexpression of Rv2629 slightly enhanced the drug resistance of Mycobacterium smegmatis to antibiotics, and increased its survival and pathogenicity in Balb/c mice. Conclusion: It is suggested that Rv2629 is involved in the survival of the clinical drug-resistant strain via bacterial growth repression and bacterial persistence induction.
Collapse
Affiliation(s)
- Dan Liu
- Department of Immunology and Pathogen Biology, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Kewei Hao
- State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Wenjie Wang
- State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Chao Peng
- State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Yue Dai
- State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Ruiliang Jin
- Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Wenxi Xu
- State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Lei He
- State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Hongyan Wang
- State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Honghai Wang
- State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Lu Zhang
- State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China
| | - Qingzhong Wang
- Shanghai Centre for Clinical Laboratory, Shanghai, China
| |
Collapse
|
9
|
Comparison of QuantiFERON-TB Gold In-Tube (QFT-GIT) and tuberculin skin test (TST) for diagnosis of latent tuberculosis in haemodialysis (HD) patients: a meta-analysis of κ estimates. Epidemiol Infect 2017; 145:1824-1833. [PMID: 28249638 DOI: 10.1017/s0950268817000334] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Diagnosis of latent tuberculosis infection (LTBI) is a concern in haemodialysis (HD) patients. Many studies have compared QuantiFERON-TB Gold In-Tube (QFT-GIT) and tuberculin skin test (TST) for detecting LTBI and reported the κ statistic of agreement between QFT-GIT and TST in HD patients. The present study aimed to systematically review this literature and conduct meta-analysis of individual studies that estimated the κ between QFT-GIT with TST among HD patients. All relevant published studies that were available as full-text were obtained by searching Medline (1950), Web of Sciences (1945), Scopus (1973) through May 2016. The κ was re-estimated from the individual studies and pooled using random effect meta-analysis. Subgroup analysis and meta-regression were applied to evaluate the effect of Bacillus Calmette-Guérin (BCG) vaccination, TST cut-off points, quality of studies, sample size and age on variation of κ estimate. Eight studies involving 901 HD patients were included in meta-analysis. The pooled κ estimate was 0·28 (I 2 = 18·4%, P = 0·239, 95% confidence intervals 0·22-0·34). The discordance of TST-/QFT-GIT+ was more than TST+/QFT-GIT-. History of BCG vaccination, TST cut-off points and age are related to variation of κ estimates. TST and QFT-GIT are not comparable in detecting LTBI in HD patients. The higher TST-/QFT-GIT+ ratio compared with TST+/QFT-GIT- ratio, may indicate the superiority of QFT-GIT over TST for detection LTBI in HD patients.
Collapse
|
10
|
Antigen-Specific IFN- γ Responses Correlate with the Activity of M. tuberculosis Infection but Are Not Associated with the Severity of Tuberculosis Disease. J Immunol Res 2016; 2016:7249369. [PMID: 28042583 PMCID: PMC5155109 DOI: 10.1155/2016/7249369] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Revised: 09/09/2016] [Accepted: 09/21/2016] [Indexed: 01/08/2023] Open
Abstract
IFN-γ is a key cytokine in antituberculosis (TB) defense. However, how the levels of its secretion affect M. tuberculosis (Mtb) infection is not clear. We have analyzed associations between IFN-γ responses measured in QuantiFERON®-TB Gold In-tube (QFT) assay, TB disease severity, and Mtb infection activity. TB severity was evaluated based on the results of radiological, microbiological, and clinical examinations. Antigen-driven IFN-γ secretion did not correlate with TB severity. Mitogen-induced IFN-γ secretion correlated inversely with the form of pulmonary pathology and the area of affected pulmonary tissue; the levels of spontaneous IFN-γ secretion correlated with patients' age (r = 0.395, p = 0.001). Mtb infection activity was evaluated based on radiological data of lung tissue infiltration, destruction, dissemination or calcification, and condensation. The rate of positive QFT results and the levels of antigen-driven IFN-γ secretion increased in a row: patients with residual TB lesions < patients with low TB activity < patients with high TB activity. Thus, antigen-driven IFN-γ secretion and QFT results did not associate with TB severity but associated with the infection activity. The results suggest that quantitative parameters of IFN-γ secretion play a minor role in determining the course of TB disease but mirror the activity of the infectious process.
Collapse
|
11
|
Highly Multiplexed Proteomic Analysis of Quantiferon Supernatants To Identify Biomarkers of Latent Tuberculosis Infection. J Clin Microbiol 2016; 55:391-402. [PMID: 27852671 PMCID: PMC5277508 DOI: 10.1128/jcm.01646-16] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Accepted: 10/10/2016] [Indexed: 01/16/2023] Open
Abstract
The tests for diagnosing latent tuberculosis infection (LTBI) are limited by a poor predictive value for identifying people at the highest risk for progressing to active tuberculosis (TB) and have various sensitivities and specificities in different populations. Identifying a more robust signature for LTBI is important for TB prevention and elimination. A pilot study was conducted with samples from immigrants to the United States that were screened for LTBI by the three commercially approved tests, namely, the tuberculin skin test (TST), the Quantiferon-TB Gold in-tube (QFT-GIT), and the T-SPOT.TB (T-SPOT). QFT-GIT supernatants from 13 people with concordant positive results and 26 people with concordant negative results were analyzed via the highly multiplexed SOMAscan proteomic assay. The proteins in the stimulated supernatants that distinguished LTBI from controls included interleukin-2 (IL-2), monocyte chemotactic protein 2 (MCP-2), interferon gamma inducible protein-10 (IP-10), interferon gamma (IFN-γ), tumor necrosis factor superfamily member 14 (TNFSF14, also known as LIGHT), monokine induced by gamma interferon (MIG), and granzyme B (P <0.00001). In addition, antigen stimulation increased the expression of heparin-binding EGF-like growth factor (HB-EGF) and activin AB in LTBI samples. In nil tubes, LIGHT was the most significant marker (P <0.0001) and was elevated in LTBI subjects. Other prominent markers in nonstimulated QFT-GIT supernatants were the complement-3 components C3b, iC3b, and C3d, which were upregulated in LTBI and markedly decreased upon stimulation. We found known and novel proteins that warrant further studies for developing improved tests for LTBI, for predicting progression to active disease, and for discriminating LTBI from active TB.
Collapse
|
12
|
Oren E, Fiero MH, Barrett E, Anderson B, Nuῆez M, Gonzalez-Salazar F. Detection of latent tuberculosis infection among migrant farmworkers along the US-Mexico border. BMC Infect Dis 2016; 16:630. [PMID: 27809805 PMCID: PMC5096297 DOI: 10.1186/s12879-016-1959-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Accepted: 10/25/2016] [Indexed: 12/22/2022] Open
Abstract
Background Migrant farmworkers are among the highest-risk populations for latent TB infection (LTBI) in the United States with numerous barriers to healthcare access and increased vulnerability to infectious diseases. LTBI is usually diagnosed on the border using the tuberculin skin test (TST). QuantiFERON-TB Gold In-Tube (QFT-GIT) also measures immune response against specific Mycobacterium tuberculosis antigens. The objective of this study is to assess the comparability of TST and QFT-GIT to detect LTBI among migrant farmworkers on the border, as well as to examine the effects of various demographic and clinical factors on test positivity. Methods Participants were recruited using mobile clinics on the San Luis US-Mexico border and tested with QFT-GIT and TST. Demographic profiles and clinical histories were collected. Kappa coefficients assessed agreement between TST and QFT-GIT using various assay cutoffs. Logistic regression examined factors associated with positive TST or QFT-GIT results. Results Of 109 participants, 59 of 108 (55 %) were either TST (24/71, 34 %) or QFT-GIT (52/106, 50 %) positive. Concordance between TST and QFT-GIT was fair (71 % agreement, ĸ = 0.38, 95 % CI: 0.15, 0.61). Factors associated with LTBI positivity included smoking (OR = 1.26, 95 % CI–1.01–1.58) and diabetes/high blood sugar (OR = 0.70, 95 % CI = 0.51–0.98). Discussion Test concordance between the two tests was fair, with numerous discordant results observed. Greater proportion of positives detected using QFT-GIT may help avoid LTBI under-diagnosis. Assessment of LTBI status on the border provides evidence whether QFT-GIT should replace the TST in routine practice, as well as identifies risk factors for LTBI among migrant populations. Electronic supplementary material The online version of this article (doi:10.1186/s12879-016-1959-3) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- E Oren
- Department of Epidemiology & Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave., P.O. Box 245211, Tucson, AZ, 85724, USA.
| | - M H Fiero
- Department of Epidemiology & Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave., P.O. Box 245211, Tucson, AZ, 85724, USA
| | - E Barrett
- Department of Epidemiology & Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave., P.O. Box 245211, Tucson, AZ, 85724, USA
| | - B Anderson
- Department of Epidemiology & Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave., P.O. Box 245211, Tucson, AZ, 85724, USA
| | - M Nuῆez
- Yuma County Health Services District, 2200 W 28th St, Yuma, AZ, 85364, USA
| | - F Gonzalez-Salazar
- Mexican Social Security Institute, Juárez, México City, Mexico.,University of Monterrey, Avenida Ignacio Morones Prieto 4500 Pte., Jesús M. Garza, 66238, San Pedro Garza García, NL, Mexico
| |
Collapse
|
13
|
Mostafavi E, Nasehi M, Hashemi Shahraki A, Esmaeili S, Ghaderi E, Sharafi S, Doosti-Irani A. Comparison of the tuberculin skin test and the QuantiFERON-TB Gold test in detecting latent tuberculosis in health care workers in Iran. Epidemiol Health 2016; 38:e2016032. [PMID: 27457062 PMCID: PMC5037355 DOI: 10.4178/epih.e2016032] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 07/24/2016] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVES: The tuberculin skin test (TST) and the QuantiFERON-TB Gold test (QFT) are used to identify latent tuberculosis infections (LTBIs). The aim of this study was to determine the agreement between these two tests among health care workers in Iran. METHODS: This cross-sectional study included 177 tuberculosis (TB) laboratory staff and 67 non-TB staff. TST indurations of 10 mm or more were considered positive. The Student’s t-test and the chi-square test were used to compare the mean score and proportion of variables between the TB laboratory staff and the non-TB laboratory staff. Kappa statistics were used to evaluate the agreement between these tests, and logistic regression was used to assess the risk factors associated with positive results for each test. RESULTS: The prevalence of LTBIs according to both the QFT and the TST was 17% (95% confidence interval [CI], 12% to 21%) and 16% (95% CI, 11% to 21%), respectively. The agreement between the QFT and the TST was 77.46%, with a kappa of 0.19 (95% CI, 0.04 to 0.34). CONCLUSIONS: Although the prevalence of LTBI based on the QFT and the TST was not significantly different, the kappa statistic was low between these two tests for the detection of LTBIs.
Collapse
Affiliation(s)
- Ehsan Mostafavi
- Department of Epidemiology, Pasteur Institute of Iran, Tehran, Iran.,Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Akanlu, Kabudar-Ahang, Hamadan, Iran
| | - Mahshid Nasehi
- Center for Diseases Control and Prevention, Ministry of Health and Medical Education, Tehran, Iran.,Department of Epidemiology and Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Abdolrazagh Hashemi Shahraki
- Department of Epidemiology, Pasteur Institute of Iran, Tehran, Iran.,Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Akanlu, Kabudar-Ahang, Hamadan, Iran
| | - Saber Esmaeili
- Department of Epidemiology, Pasteur Institute of Iran, Tehran, Iran.,Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Akanlu, Kabudar-Ahang, Hamadan, Iran.,Department of Bacteriology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Ebrahim Ghaderi
- Social Determinants of Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran.,Department of Epidemiology and Biostatistics, School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Saeed Sharafi
- Center for Diseases Control and Prevention, Ministry of Health and Medical Education, Tehran, Iran
| | - Amin Doosti-Irani
- Department of Epidemiology, Pasteur Institute of Iran, Tehran, Iran.,Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|