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Starke SJ, Martinez Rivera MB, Krishnan S, Shah M. Randomized Controlled Trial of Clinical Guidelines Versus Interactive Decision-Support for Improving Medical Trainees' Confidence with Latent Tuberculosis Care. J Gen Intern Med 2024; 39:951-959. [PMID: 38062221 PMCID: PMC11074081 DOI: 10.1007/s11606-023-08551-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 11/17/2023] [Indexed: 05/08/2024]
Abstract
BACKGROUND In order to eliminate tuberculosis (TB) in the USA, primary care providers must take on an expanded role in the diagnosis and management of latent tuberculosis infection (LTBI). Clinical practice guidelines and recommendations exist for LTBI management, but there is a need for innovative tools to improve medical students' and residents' knowledge of evidence-based practices for LTBI testing and treatment. OBJECTIVE To assess the impact of LTBI-ASSIST, a free online decision support aid, as a novel educational tool and mechanism of delivering clinical practice guidelines for medical trainees. DESIGN A single site, randomized controlled trial of trainees delivered by electronic survey. INTERVENTIONS Medical students and Internal Medicine residents at the Johns Hopkins University School of Medicine. PARTICIPANTS Participants were randomized in 1:1 ratio to receive the US clinical practice guidelines and recommendations for Latent TB management (control arm) or the guidelines plus an introduction to LTBI-ASSIST (LTBI-ASSIST arm) as they completed a case-based knowledge assessment and reported confidence with domains of LTBI care. MAIN MEASURES (1) Proportion of questions answered correctly on a case-based knowledge assessment; (2) change in reported confidence with domains of LTBI care. KEY RESULTS One hundred and thirty participants completed the knowledge assessment. Those randomized to receive the LTBI-ASSIST Tool performed better on the case-based knowledge assessment with a mean score of 75.9% (95% CI: 70.6-81.1), compared to 57.4% (52.8-62.0) in the group that received the guidelines only (p <0.001). Similarly, the LTBI-ASSIST group reported a higher change in confidence (measured as post-assessment confidence minus pre-assessment confidence), compared to the control group, in six of the seven domains of LTBI care. CONCLUSIONS LTBI-ASSIST can be an effective supplement to existing guidelines in educating medical trainees and helping providers find evidence-based, guideline-supported answers for questions encountered in clinical practice. TRIAL REGISTRATION NIH Clinical Trial Registry No. NCT05772065.
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Affiliation(s)
- Samuel J Starke
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA.
| | - Marina B Martinez Rivera
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Sonya Krishnan
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Maunank Shah
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
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Malden DE, Wong RJ, Chitnis AS, Im TM, Tartof SY. Screening Practices and Risk Factors for Co-Infection with Latent Tuberculosis and Hepatitis B Virus in an Integrated Healthcare System - California, 2008-2019. Am J Med 2024; 137:258-265.e3. [PMID: 38000687 DOI: 10.1016/j.amjmed.2023.10.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 10/08/2023] [Accepted: 10/27/2023] [Indexed: 11/26/2023]
Abstract
BACKGROUND Hepatitis B virus (HBV) and latent tuberculosis infection are associated with a significant global burden, but both are underdiagnosed and undertreated. We described the screening patterns and risk factors for co-infection with latent tuberculosis and HBV within a large healthcare system. METHODS Using data from Kaiser Permanente Southern California during 2008-2019, we described HBV infections, defined as a positive HBV surface antigen, e-antigen, or DNA test, and latent tuberculosis, defined as a positive Mantoux tuberculin skin test or interferon-gamma release assay test. We estimated adjusted odds ratios (aOR) for co-infection among screened adults with either infection. RESULTS Among 1997 HBV patients screened for latent tuberculosis, 23.1% were co-infected, and among 35,820 patients with latent tuberculosis screened for HBV, 1.3% were co-infected. Among HBV patients, co-infection risk was highest among Asians compared with White race/ethnicity (29.4% vs 5.7%, aOR 4.78; 95% confidence interval [CI], 2.75-8.31), and persons born in a high-incidence country compared with low-incidence countries (31.0% vs 6.6%; aOR 4.19; 95% CI, 2.61-6.73). For patients with latent tuberculosis, risk of co-infection was higher among Asian (aOR 9.99; 95% CI, 5.79-17.20), or Black race/ethnicity (aOR 3.33; 95% CI, 1.78-6.23) compared with White race/ethnicity. Persons born in high-incidence countries had elevated risk of co-infection compared with persons born in low-incidence countries (aOR 2.23; 95% CI, 1.42-3.50). However, Asians or persons born in high-incidence countries were screened at similar rates to other ethnicities or persons born in low-incidence countries. CONCLUSIONS Latent tuberculosis risk is elevated among HBV patients, and vice versa. Risk of co-infection was highest among persons born in high-incidence countries and Asians. These findings support recent guidelines to increase HBV and tuberculosis screening, particularly among persons with either infection.
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Affiliation(s)
- Debbie E Malden
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, Calif.
| | - Robert J Wong
- Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Palo Alto, Calif; Gastroenterology Section, Veterans Affairs Palo Alto Health Care System, Palo Alto, Calif
| | - Amit S Chitnis
- Tuberculosis Section, Division of Communicable Disease Control and Prevention, Alameda County Public Health Department, San Leandro, Calif
| | - Theresa M Im
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, Calif
| | - Sara Y Tartof
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, Calif; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, Calif
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Phung B. Caring for resettled refugee children in the United States: guidelines, challenges and public health perspectives. Front Public Health 2023; 11:1046319. [PMID: 37818302 PMCID: PMC10561301 DOI: 10.3389/fpubh.2023.1046319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 09/07/2023] [Indexed: 10/12/2023] Open
Abstract
The global refugee crisis has become an urgent, pressing humanitarian issue, with an estimated 37 million children forcibly displaced from their homes due to conflict, persecution, violence and other human rights violations by mid-2022. Of these children, only a small percentage are eligible for resettlement in a new country. This narrative review examines the physical health needs of resettled refugee children (RRC) in the United States. By analyzing nutrition and growth, infectious diseases, and general health care/screening measures, a set of comprehensive, evidence-based guidelines and public health perspectives are formulated to facilitate ongoing discussion to ensure that RRC receive equitable health care access. An urgent call to action emphasizes cross-border collaboration between governments, public health experts, refugee populations, and disease preparedness authorities in order to prioritize the physical health of RRC. This review will provide primary care providers, public health professionals, social service workers, and community advocates with up-to-date recommendations to meet the health needs of RRC in the U.S.
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Affiliation(s)
- Binh Phung
- Department of Pediatrics, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States
- Department of Epidemiology and Public Health, Yale University, New Haven, CT, United States
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Zavala S, Winglee K, Ho CS, Pettit AC, Ahmed A, Katz DJ, Belknap RW, Stout JE. Examining Test Cutoffs to Optimize Diagnosis of Latent Tuberculosis Infection in People Born Outside the United States. Ann Am Thorac Soc 2023; 20:1258-1266. [PMID: 37159954 PMCID: PMC10938364 DOI: 10.1513/annalsats.202212-1005oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 05/09/2023] [Indexed: 05/11/2023] Open
Abstract
Rationale: Detection of latent tuberculosis infection (LTBI) in persons born in high tuberculosis (TB) incidence countries living in low TB incidence countries is key to TB elimination in low-incidence countries. Optimizing LTBI tests is critical to targeting treatment. Objectives: To compare the sensitivity and specificity of tuberculin skin test (TST) and two interferon-γ release assays at different cutoffs and of a single test versus dual testing. Methods: We examined a subset (N = 14,167) of a prospective cohort of people in the United States tested for LTBI. We included non-U.S.-born, human immunodeficiency virus-seronegative people ages 5 years and older with valid TST, QuantiFERON-TB Gold-in-Tube (QFT), and T-SPOT.TB (TSPOT) results. The sensitivity/specificity of different test cutoffs and test combinations, obtained from a Bayesian latent class model, were used to construct receiver operating characteristic (ROC) curves and assess the area under the curve (AUC) for each test. The sensitivity/specificity of dual testing was calculated. Results: The AUC of the TST ROC curve was 0.81 (95% credible interval (CrI), 0.78-0.86), with sensitivity/specificity at cutoffs of 5, 10, and 15 mm of 86.5%/61.6%, 81.7%/71.3%, and 55.6%/88.0%, respectively. The AUC of the QFT ROC curve was 0.89 (95% CrI, 0.86-0.93), with sensitivity/specificity at cutoffs of 0.35, 0.7, and 1.0 IU/mL of 77.7%/98.3%, 66.9%/99.1%, and 61.5%/99.4%. The AUC of the TSPOT ROC curve was 0.92 (95% CrI, 0.88-0.96) with sensitivity/specificity for five, six, seven, and eight spots of 79.2%/96.7%, 76.8%/97.7%, 74.0%/98.6%, and 71.8%/99.5%. Sensitivity/specificity of TST-QFT, TST-TSPOT, and QFT-TSPOT at standard cutoffs were 73.1%/99.4%, 64.8%/99.8%, and 65.3%/100%. Conclusion: Interferon-γ release assays have a better predictive ability than TST in people at high risk of LTBI.
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Affiliation(s)
- Sofia Zavala
- Division of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Kathryn Winglee
- Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Christine S. Ho
- Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - April C. Pettit
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Amina Ahmed
- Department of Pediatrics, Atrium Health, Charlotte, North Carolina
| | - Dolly J. Katz
- Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Jason E. Stout
- Division of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina
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Shapiro AE, Gupta A, Lan K, Kim HN. Latent Tuberculosis Screening Cascade for Non-US-Born Persons in a Large Health System. Open Forum Infect Dis 2023; 10:ofad303. [PMID: 37426951 PMCID: PMC10323726 DOI: 10.1093/ofid/ofad303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 06/02/2023] [Indexed: 07/11/2023] Open
Abstract
Review of electronic health records revealed substantial drop-off at each stage of the latent tuberculosis infection (LTBI) care cascade among non-US-born persons in an academic primary care system. Of 5148 persons eligible for LTBI screening, 1012 (20%) had an LTBI test, and 140 (48%) of 296 LTBI-positive persons received LTBI treatment.
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Affiliation(s)
- Adrienne E Shapiro
- Department of Global Health, University of Washington, Seattle, Washington, USA
- Department of Medicine, Division of Allergy and Infectious Diseases, University of Washington, Seattle, Washington, USA
| | - Ayushi Gupta
- Department of Medicine, Division of Allergy and Infectious Diseases, University of Washington, Seattle, Washington, USA
| | - Kristine Lan
- Department of Medicine, Division of Allergy and Infectious Diseases, University of Washington, Seattle, Washington, USA
| | - H Nina Kim
- Department of Global Health, University of Washington, Seattle, Washington, USA
- Department of Medicine, Division of Allergy and Infectious Diseases, University of Washington, Seattle, Washington, USA
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Chauhan A, Parmar M, Dash GC, Solanki H, Chauhan S, Sharma J, Sahoo KC, Mahapatra P, Rao R, Kumar R, Rade K, Pati S. The prevalence of tuberculosis infection in India: A systematic review and meta-analysis. Indian J Med Res 2023; 157:135-151. [PMID: 37202933 PMCID: PMC10319385 DOI: 10.4103/ijmr.ijmr_382_23] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Indexed: 04/28/2023] Open
Abstract
Background & objectives The National Prevalence Survey of India (2019-2021) estimated 31 per cent tuberculosis infection (TBI) burden among individuals above 15 years of age. However, so far little is known about the TBI burden among the different risk groups in India. Thus, this systematic review and meta-analysis, aimed to estimate the prevalence of TBI in India based on geographies, sociodemographic profile, and risk groups. Methods To identify the prevalence of TBI in India, data sources such as MEDLINE, EMBASE, CINAHL, and Scopus were searched for articles reporting data between 2013-2022, irrespective of the language and study setting. TBI data were extracted from 77 publications and pooled prevalence was estimated from the 15 community-based cohort studies. Articles were reviewed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines and were sourced using a predefined search strategy from different databases. Results Out of 10,521 records, 77 studies (46 cross-sectional and 31 cohort studies) were included. The pooled TBI prevalence for India based on the community-based cohort studies was estimated as 41 per cent [95% confidence interval (CI) 29.5-52.6%] irrespective of the risk of acquiring it, while the estimation was 36 per cent (95% CI 28-45%) prevalence observed among the general population excluding high-risk groups. Regions with high active TB burden were found to have a high TBI prevalence such as Delhi and Tamil Nadu. An increasing trend of TBI was observed with increasing age in India. Interpretation & conclusions This review demonstrated a high prevalence of TBI in India. The burden of TBI was commensurate with active TB prevalence suggesting possible conversion of TBI to active TB. A high burden was recorded among people residing in the northern and southern regions of the country. Such local epidemiologic variation need to be considered to reprioritize and implement-tailored strategies for managing TBI in India.
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Affiliation(s)
| | | | - Girish Chandra Dash
- Indian Council of Medical Research-Regional Medical Research Centre, Bhubaneswar, Odisha, India
| | - Hardik Solanki
- Central TB Division, WHO NTEP Technical Support Network, New Delhi, India
| | - Sandeep Chauhan
- Central TB Division, WHO NTEP Technical Support Network, New Delhi, India
| | - Jessica Sharma
- Indian Council of Medical Research-Regional Medical Research Centre, Bhubaneswar, Odisha, India
| | - Krushna Chandra Sahoo
- Indian Council of Medical Research-Regional Medical Research Centre, Bhubaneswar, Odisha, India
| | - Pranab Mahapatra
- Department of Psychiatry, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India
| | - Raghuram Rao
- Central TB Division, Ministry of Health & Family Welfare, Government of India, New Delhi, India
| | - Ravinder Kumar
- Central TB Division, Ministry of Health & Family Welfare, Government of India, New Delhi, India
| | | | - Sanghamitra Pati
- Indian Council of Medical Research-Regional Medical Research Centre, Bhubaneswar, Odisha, India
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Winglee K, Hill AN, Belknap R, Stout JE, Ayers TL. Variability of interferon-γ release assays in people at high risk of tuberculosis infection or progression to tuberculosis disease living in the United States. Clin Microbiol Infect 2022; 28:1023.e1-1023.e7. [PMID: 35183749 PMCID: PMC10065409 DOI: 10.1016/j.cmi.2022.02.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 01/25/2022] [Accepted: 02/10/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Interferon-γ release assays, including T-SPOT.TB (TSPOT) and QuantiFERON Gold In-Tube (QFT), are important diagnostic tools for tuberculosis infection, but little work has been done to study the performance of these tests in populations prioritized for tuberculosis testing in the United States, especially those other than health care personnel. METHODS Participants were enrolled as part of a large, prospective cohort of people at high risk of tuberculosis infection or progression to tuberculosis disease. All participants were administered a tuberculin skin test, TSPOT, and QFT test. A subset of participants had their QFT (n = 919) and TSPOT (n = 885) tests repeated when they returned to get their tuberculin skin test read 2 to 3 days later (repeat study). A total of 531 participants had a TSPOT performed twice on the same sample taken at the same time (split study). RESULTS The QFT repeat test interpretations were discordant (one test positive and the other negative) for 6.4% of participants (59 of 919), and the TSPOT tests were discordant for 60 of 885 participants in the repeat study (6.8%) and 41 of 531 participants in the split study (7.7%). There was a high degree of variability in the quantitative test results for both QFT and TSPOT, and discordance was not associated with both test results being near the established cut-offs. Furthermore, the proportion of discordance was similar when comparing participants in both the TSPOT repeat and TSPOT split studies. DISCUSSION Both QFT and TSPOT were 6% to 8% discordant. The results should be interpreted with caution, particularly when seeing a conversion or reversion in serial testing.
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Affiliation(s)
- Kathryn Winglee
- Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Andrew N Hill
- Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Robert Belknap
- Public Health Institute at Denver Health, Denver, CO, USA
| | - Jason E Stout
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Tracy L Ayers
- Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, GA, USA
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Ding C, Hu M, Guo W, Hu W, Li X, Wang S, Shangguan Y, Zhang Y, Yang S, Xu K. Prevalence trends of latent tuberculosis infection at the global, regional, and country levels from 1990-2019. Int J Infect Dis 2022; 122:46-62. [PMID: 35577247 DOI: 10.1016/j.ijid.2022.05.029] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 05/09/2022] [Accepted: 05/10/2022] [Indexed: 10/18/2022] Open
Abstract
OBJECTIVES To track the prevalence trends of latent tuberculosis infection (LTBI) at the global, regional, and national levels. METHODS Data on the prevalence of LTBI were extracted from the Global Burden of Disease database. The average annual percent change (AAPC) was estimated by joinpoint regression and was used to evaluate the epidemic of the disease. RESULTS Globally, the prevalence rate of LTBI decreased from 30.66% in 1990 to 23.67% in 2019, with an AAPC of -0.9%. The prevalence rate of LTBI varied from 5.02% (Jordan) to 48.35% (Uganda) in 1990 and from 2.51% (Jordan) to 43.75% (Vietnam) in 2019 at the country level. The prevalence decreased in all the six World Health Organization (WHO) regions and in most countries, with the AAPC ranging from -0.5% in the Western Pacific Region to -2.1% in the European Region and from -4.3% (Bhutan) to -0.1% (Malaysia, Myanmar, South Africa, Tokelau, and Vietnam), respectively. Disparities were also observed among different sex and age groups. CONCLUSION The prevalence of LTBI decreased slightly worldwide in the last three decades, but the decrease is slow and not sufficient to meet the targets of WHO tuberculosis elimination. Much more effort and progress should be made in order to decrease the prevalence of LTBI.
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Affiliation(s)
- Cheng Ding
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Ming Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Wanru Guo
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Wenjuan Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Xiaomeng Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Shuting Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Yanwan Shangguan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China
| | - Ying Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China.
| | - Shigui Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China.
| | - Kaijin Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou 310003, China.
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Plascencia Hernández A, González Sánchez RM, Hernández Cañaveral II, Luévanos Velázquez A, Martínez Arce PA, González Díaz A, Sandoval Díaz M, de Armas Rodríguez Y, González Ochoa E, Pérez Gómez HR. A prevalence study in Guadalajara, Mexico, comparing tuberculin skin test and QuantiFERON-TB Gold In-Tube. PLoS One 2022; 17:e0264982. [PMID: 35271625 PMCID: PMC8912134 DOI: 10.1371/journal.pone.0264982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 02/21/2022] [Indexed: 11/19/2022] Open
Abstract
Background Tuberculosis (TB) is a prevalent disease throughout the world. The extent of TB illness in childhood is not clear; recent data shows that 10–20% of the cases are found in children under 15 years old. In 2017, 1 million children developed the disease, of which 9% were co-infected with HIV. Methods A cross-sectional study that analyzed 48 children diagnosed with HIV-infection in Guadalajara, Mexico. The tuberculin skin test (TST) and QuantiFERON-TB Gold In-Tube test (QFT) were performed and compared to diagnose latent TB infection (LTBI). Results The average age was 9 years old (± 4), with an age range of 1–16 years; the 6-12-year-old group predominated with 50% of cases. 27 patients (56%) were male; 83% had received the BCG vaccination and 23% had a history of being contacts of TB cases. In the study, 40 patients (83%) were without immunosuppression; seven (15%) with moderate immunosuppression, and only one patient had severe immunodeficiency. Overall, 3 of the 48 children (6.2%) had a positive TST, while 8 out of 48 (16.6%) had a positive QFT. The concordance between the two tests was 89.6% (43/48) with Kappa = 0.5 (95% CI, 0.14–0.85). Conclusions The QFT test represents an opportunity in the diagnosis of LTBI, particularly in pediatric HIV- patients. This is the first study that compares the two tests (TST and QFT) in children with HIV-infection in Guadalajara, Mexico.
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Affiliation(s)
- Arturo Plascencia Hernández
- University Center for Health Sciences (Centro Universitario de Ciencias de la Salud), University of Guadalajara, Guadalajara, México
- “Fray Antonio Alcalde” Civil Hospital of Guadalajara, Guadalajara, México
| | - Rodrigo M. González Sánchez
- University Center for Health Sciences (Centro Universitario de Ciencias de la Salud), University of Guadalajara, Guadalajara, México
- “Fray Antonio Alcalde” Civil Hospital of Guadalajara, Guadalajara, México
| | - Iván I. Hernández Cañaveral
- University Center for Health Sciences (Centro Universitario de Ciencias de la Salud), University of Guadalajara, Guadalajara, México
| | - Antonio Luévanos Velázquez
- University Center for Health Sciences (Centro Universitario de Ciencias de la Salud), University of Guadalajara, Guadalajara, México
- “Fray Antonio Alcalde” Civil Hospital of Guadalajara, Guadalajara, México
| | - Pedro A. Martínez Arce
- University Center for Health Sciences (Centro Universitario de Ciencias de la Salud), University of Guadalajara, Guadalajara, México
- “Fray Antonio Alcalde” Civil Hospital of Guadalajara, Guadalajara, México
| | | | | | | | | | - Héctor Raúl Pérez Gómez
- University Center for Health Sciences (Centro Universitario de Ciencias de la Salud), University of Guadalajara, Guadalajara, México
- * E-mail:
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