Evidence map›Paper›PMID 32498706›Full record

ArticleBMC nephrology2020

Early diagnosis of miliary tuberculosis in a hemodialysis patient by combining two interferon-γ-release assays: a case report.

Florence Bonkain, Dieter De Clerck, Violette Dirix, Mahavir Singh, Camille Locht, Françoise Mascart, Véronique Corbière

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Diagnosis of tuberculosis in dialysis and kidney transplant patients.Hemodialysis international. International Symposium on Home Hemodialysis · 2022
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 3 countries.

Florence BonkainDepartment of Nephrology, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Dieter De ClerckDepartment of Nephrology, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.
Violette DirixLaboratory of Vaccinology and Mucosal Immunity, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium.
Mahavir SinghLionex Diagnostics and Therapeutics, Braunschweig, Germany.
Camille LochtU1019 - UMR 8204 - CIIL - Center for Infection and Immunity of Lille, Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, F-59000, Lille, France.
Françoise MascartLaboratory of Vaccinology and Mucosal Immunity, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium. francoise.mascart@erasme.ulb.ac.be.ORCID 0000-0001-7635-7944
Véronique CorbièreLaboratory of Vaccinology and Mucosal Immunity, Université Libre de Bruxelles (U.L.B.), Brussels, Belgium.
Université Libre de Bruxelles · BEUniversitair Ziekenhuis Brussel · BECentre National de la Recherche Scientifique · FRLionex (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with end-stage renal disease undergoing chronic hemodialysis (HD) are at high risk to develop tuberculosis (TB) associated with a high mortality rate. TB diagnosis is often delayed due to non-specific symptoms, frequent extra-pulmonary manifestations, and rare microbiological confirmation. This case report illustrates the clear added value of combined interferon-γ -release assays (IGRA) in response to different mycobacterial antigens for an early diagnosis of TB in HD patients. CASE PRESENTATION: We report the case of an Egyptian patient under chronic HD treatment, who presented with recurrent episodes of fever and myalgia of unknown origin, associated with an important inflammatory syndrome. These episodes resolved partially or completely within less than 1 month without any treatment but recurred 10 times within 3 years. Chest Computed Tomography and 18F-fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (18FDG PET-CT) demonstrated several active mediastinal lymphadenopathies. TB was the first suspected diagnosis but cultures and polymerase chain reaction (PCR) remained negative on a mediastinal lymph node aspiration. In contrast, the results from two different IGRA performed on blood were highly suggestive of TB disease. Several granulomas, some of them with central non-caseating necrosis, were demonstrated on a pulmonary nodule obtained by thoracoscopic resection, but PCR and culture remained negative for M. tuberculosis. Three years after the initial symptoms, a new PET-CT revealed a retro-clavicular lymphadenopathy in addition to the mediastinal lymphadenopathies, and the M. tuberculosis culture performed on the resected lymphadenopathy was positive. Antibiotic treatment for TB was started and resulted in a clear improvement of the patient's clinical condition, allowing him to successfully receive a renal graft.

conclusionsIn view of the high frequency of TB in patients undergoing chronic HD and of the limitations of the classical diagnosis procedures, nephrologists have to diagnose TB mostly on clinical suspicion. We demonstrate here that the use of a combined IGRA to two different mycobacterial antigens may significantly raise the index of suspicion and help clinicians to decide starting anti-TB treatment in HD patients.

Indexed as

Interferon-gamma Release TestsRenal DialysisC-Reactive ProteinHumansInterferon-gammaLymph NodesMaleMiddle AgedMycobacterium tuberculosisPositron Emission Tomography Computed TomographyTuberculosis, MiliaryC-Reactive ProteinInterferon-gammaDiagnosisHemodialysisInterferon-gamma release assayMycobacterium tuberculosis infection

Identifiers

PMID32498706
PMCPMC7273678
OpenAlexW3032928817

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.