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Record W1800725184 · doi:10.1111/ajt.12793

Latent Tuberculosis Infection: Is Universal Screening the Right Approach?

2014· letter· en· W1800725184 on OpenAlexaffabout
Mario Fernández‐Ruiz, Atul Humar, Deepali Kumar

Bibliographic record

VenueAmerican Journal of Transplantation · 2014
Typeletter
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsUniversity of TorontoToronto General HospitalUniversity Health Network
FundersInstituto de Salud Carlos IIIMinisterio de Economía y Competitividad
KeywordsMedicineTuberculosisLatent tuberculosisVirologyIntensive care medicineMycobacterium tuberculosisPathology

Abstract

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To the Editor: We have read with interest the article by de Lemos et al (1de Lemos AS Vieira MA Halpern M et al.Results of implementation of preventive recommendations for tuberculosis after renal transplantation in an endemic area.Am J Transplant. 2013; 13: 3230-3235Abstract Full Text Full Text PDF PubMed Scopus (14) Google Scholar) regarding the implementation of a preventive protocol for latent tuberculosis infection (LTBI) in kidney transplant recipients residing in Brazil. In that study, all recipients and living donors were intended to be screened preoperatively or at the time of transplantation for epidemiological, clinical and radiological evidence of LTBI. The authors reported a lower incidence of posttransplant active tuberculosis in the group of patients appropriately treated for LTBI. Such an approach is consistent with the American Society of Transplantation Infectious Disease guidelines and other consensus documents (2Subramanian AK Morris MI AST Infectious Diseases Community of Practice. Mycobacterium tuberculosis infections in solid organ transplantation.Am J Transplant. 2013; 13: 68-76Abstract Full Text Full Text PDF PubMed Scopus (117) Google Scholar,3Aguado JM Torre-Cisneros J Fortun J et al.Tuberculosis in solid-organ transplant recipients: Consensus statement of the group for the study of infection in transplant recipients (GESITRA) of the Spanish Society of Infectious Diseases and Clinical Microbiology.Clin Infect Dis. 2009; 48: 1276-1284Crossref PubMed Scopus (208) Google Scholar) and is broadly suggested for low- and high-incidence areas. However, we suggest that it may not be necessary to screen all pretransplant patients in a low-incidence setting and that targeted screening based on epidemiological or clinical risk factors may have a better predictive value. For example, from 2006 to 2007, we performed a study to compare the performance of the QuantiFERON-TB assay with that of the standard tuberculin skin test (TST) for diagnosing LTBI in 153 liver transplant (LT) candidates in a single Canadian center. Approximately one-quarter of them had a positive result in either one or both tests (4Manuel O Humar A Preiksaitis J et al.Comparison of quantiferon-TB gold with tuberculin skin test for detecting latent tuberculosis infection prior to liver transplantation.Am J Transplant. 2007; 7: 2797-2801Crossref PubMed Scopus (105) Google Scholar). In the long-term follow-up, 82 patients (53.6%) had undergone transplantation as of October 2013, and 42 of them (51.2%) were considered at high-risk for posttransplant tuberculosis (on the basis of a positive screening test for LTBI, origin from a country with moderate-to-high incidence, household or occupational exposure, or abnormal chest X-ray findings). The decision on whether or not to initiate treatment was ultimately left at the discretion of the attending physician. Only two patients (2.4% of the overall cohort and 4.8% of the high-risk group) received treatment for LTBI. Both regimens were administered after transplantation and consisted of rifabutin in one patient (300 mg daily) and rifampin in one patient (600 mg daily). The latter patient developed severe hepatotoxicity after 2 weeks, which resolved with rifampicin discontinuation and replacement with levofloxacin. Overall, the therapy was maintained for 4.2 and 10.1 months, respectively. Sixteen further patients (19.5%) received at some point levofloxacin or moxifloxacin for other causes, although the cumulative exposure to the drug was lower than 3 months in all cases. Interestingly, despite the lack of prophylaxis in the majority of patients, none of them developed posttransplant active tuberculosis after a median follow-up of 5.5 years (interquartile range: 3.8–6.2), accounting for a risk-exposure period of 145 400 transplant-days. Despite the low adherence to the current recommendations for treating LTBI in LT candidates and recipients (2Subramanian AK Morris MI AST Infectious Diseases Community of Practice. Mycobacterium tuberculosis infections in solid organ transplantation.Am J Transplant. 2013; 13: 68-76Abstract Full Text Full Text PDF PubMed Scopus (117) Google Scholar,3Aguado JM Torre-Cisneros J Fortun J et al.Tuberculosis in solid-organ transplant recipients: Consensus statement of the group for the study of infection in transplant recipients (GESITRA) of the Spanish Society of Infectious Diseases and Clinical Microbiology.Clin Infect Dis. 2009; 48: 1276-1284Crossref PubMed Scopus (208) Google Scholar), no apparent consequences were observed in the present cohort. Canada has one of the lowest incidences of tuberculosis in the world, estimated for 2008 in 4.9 cases per 100 000 population (5Public Health Agency of CanadaTuberculosis in Canada 2008.. Minister of Public Works and Government Services Canada, Ottawa2012Google Scholar). Although limited by its small sample size, our experience suggests that the actual risk of active tuberculosis in LT recipients is very low in our setting. The positive predictive value of the TST—the most widely used diagnostic approach for LTBI—largely depends on the incidence of tuberculosis in the screened population. Therefore, we suggest a targeted strategy where only patients with a higher pretest probability of LTBI are screened (i.e. those who are born or have resided for a significant time in a high-incidence country, other epidemiological exposure, and/or with abnormal chest X-ray findings). Our study also exemplifies the practical obstacles for the application of the current recommendations for therapy of LTBI in the specific population of LT candidates and recipients due to the elevated risk of drug-induced hepatotoxicity perceived by the attending hepatologists and transplant physicians. In that sense, the choice of rifamycin-based regimens in the two treated cases was likely motivated by the higher likelihood of hepatotoxicity attributable to the standard 9-month isoniazid regimen. While we agree with the conclusions raised by de Lemos et al (1de Lemos AS Vieira MA Halpern M et al.Results of implementation of preventive recommendations for tuberculosis after renal transplantation in an endemic area.Am J Transplant. 2013; 13: 3230-3235Abstract Full Text Full Text PDF PubMed Scopus (14) Google Scholar) that a screening strategy will detect LTBI in transplant recipients residing in high-incidence areas, the effectiveness of such a universal screening needs to be further studied on a larger scale in various epidemiological settings, particularly in view of the cost of interferon-γ release assays. Screening high-risk patients based on clinical and radiologic factors and treating for a positive test may be more effective. M. Fernández-Ruiz holds a research-training contract “Río Hortega” (CM11/00187) from the Spanish Ministry of Science and Competitiveness (Instituto de Salud Carlos III). The authors of this manuscript have conflicts of interest to disclose as described by the American Journal of Transplantation. DK has received consulting fees from Oxford Immunotec. The other authors have no conflicts of interest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.078
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.015
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.078
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0050.007
Open science0.0040.001
Research integrity0.0150.021
Insufficient payload (model declined to judge)0.0050.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.288
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2014
Admission routes2
Has abstractyes

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Same venueAmerican Journal of TransplantationSame topicTuberculosis Research and EpidemiologyFrench-language works237,207