| Literature DB >> 32399496 |
Ursula K Rohlwink1, Felicia C Chow2, Sean Wasserman3,4, Sofiati Dian5,6, Rachel Pj Lai7,8, Lidya Chaidir5,9, Raph L Hamers10,11,12, Robert J Wilkinson4,7,8, David R Boulware13, Fiona V Cresswell14,15,16, Arjan van Laarhoven17.
Abstract
Tuberculous meningitis (TBM), the most severe manifestation of tuberculosis, has poorly understood immunopathology and high mortality and morbidity despite antituberculous therapy. This calls for accelerated clinical and basic science research in this field. As TBM disproportionally affects poorer communities, studies are often performed in resource-limited environments, creating challenges for data collection and harmonisation. Comparison of TBM studies has been hampered by variation in sampling strategies, study design and choice of study endpoints. Based on literature review and expert consensus, this paper provides firstly, practical recommendations to enable thorough diagnostic, pathophysiological and pharmacokinetic studies using clinical samples, and facilitates better data aggregation and comparisons across populations and settings. Secondly, we discuss clinically relevant study endpoints, including neuroimaging, functional outcome, and cause of death, with suggestions of how these could be applied in different designs for future TBM studies. Copyright:Entities:
Keywords: endpoints; imaging; immunology; metabolomics; microbiology; outcome; proteomics; sampling; tuberculous meningitis
Year: 2020 PMID: 32399496 PMCID: PMC7194504 DOI: 10.12688/wellcomeopenres.15497.2
Source DB: PubMed Journal: Wellcome Open Res ISSN: 2398-502X
Summary of practical considerations regarding sampling in TBM.
| Factors affecting quality | Blood | CSF | |
|---|---|---|---|
| Proteins | Sensitive to freeze-thawing.
| Collect in EDTA or heparin tubes.
| Collect preferably in polypropylene tubes.
|
| Metabolites | After collection, store cool
| Collect in EDTA or heparin tubes.
| Collect preferably in polypropylene tubes.
|
| Pharmacokinetics | Short specimen transfer
| Collect in heparin or EDTA tubes
| Collect in cryovials directly or transfer to
|
| Flow cytometry | If possible, perform on
| Collect in heparin or EDTA-tubes.
| Collect in standard tubes
|
| Transcriptomics | Early stabilisation is
| Collect in PAXgene tubes
| Collect in PAXgene tubes and process as with
|
|
| Collect in heparin tubes for whole
| N/A | |
| Microbiological
| Perform within 24 h after
| N/A | Collect >6ml in sterile tubes.
|
TBM, tuberculous meningitis; CSF, cerebrospinal fluid; h, hour; EDTA, ethylenediaminetetraacetic acid; PBMC, peripheral blood mononuclear cells; RPMI, Roswell Park Memorial Institute medium; BSA, bovine serum albumin.
Figure 1. Sample characteristics.
General examples of sample appearance characteristics are demonstrated. A: normal clear CSF; B: markedly blood-stained CSF (from a patient with intraventricular blood) with C: the same sample after centrifugation, showing partial haemolysis; D: xanthochromic CSF is often observed in TBM and is attributed to albumin-bound bilirubin that crossed the blood-CSF barrier; E: mildly blood-stained CSF with F: clear CSF supernatant after centrifugation; G: normal appearing plasma; H: haemolysed plasma. CSF, cerebrospinal fluid; TBM, tuberculous meningitis.
Figure 2. Neuroimaging findings.
A: Axial computed tomography (CT) with contrast, demonstrating the neuroimaging triad consistent with tuberculous meningitis (TBM) - hydrocephalus, basal meningeal enhancement and a right basal ganglia infarct; B: Axial CT without contrast showing diffuse ventricular dilatation and transependymal fluid shift consistent with severe hydrocephalus (circled); C: Axial CT with contrast showing enhancing exudate within the basal cisterns and surrounding the major vessels (circled); D: Axial T1 - weighted magnetic resonance image (MRI) with contrast demonstrating multiple ring-enhancing lesions in the suprasellar cistern consistent with tuberculomas (circled): E: Axial fluid-attenuated inversion recovery (FLAIR) MRI demonstrating chronic right basal ganglia infarcts (arrows); F: Axial diffusion-weighted imaging (DWI) demonstrating bilateral basal ganglia high signal intensities (arrows) consistent with restricted diffusion indicating subacute bilateral infarction (the corresponding B1000 - apparent diffusion coefficient (ADC) map demonstrated low signal in the affected areas); G: Axial DWI demonstrating multiple areas of high signal intensity (arrows) consistent with restricted diffusion indicating acute bilateral infarction (the corresponding B1000 - ADC map demonstrated low signal in the affected areas).
Data collection for infarcts in tuberculous meningitis.
| Subject | Data collected |
|---|---|
| Brain imaging modality | • Non-contrast CT
|
| Timing of scan | • Admission/baseline
|
| Type of infarct
| • Ischaemic
|
| Changes since prior
| • New infarct identified?
|
| Number of infarcts | • Solitary
|
| In case of multifocality
| • Bilateral
|
| Vascular territories
| • Middle cerebral artery
|
| Location
| • Basal ganglia
|
| Size of infarct
| • Lacunar infarcts
|
| Evaluation of blood
| • Modality used: CT angiography, MR angiography or
|
* More than one response allowed.
** Small subcortical infarct up to 20mm in diameter found in territories of deep penetrating arteries including basal ganglia, internal capsule, thalamus, brainstem, and corona radiata, thought to result from occlusion of a single perforating artery.
CT, computed tomography; MRI, magnetic resonance imaging.
Functional outcome scales that can be applied in tuberculous meningitis (TBM).
| Description and purpose | Validity, reliability & responsiveness
| Feasibility | Examples of use
|
|---|---|---|---|
|
| • High validity (with other stroke scales)
| Brief yet global measure of
|
|
|
| • Moderate validity
| Best if based on direct
|
|
|
| • Moderate to satisfactory validity
| Brief (12-item) questionnaire
| Not yet used in
|
|
| • Moderate validity
| Deemed feasible in children.
| To date only used
|
|
| • Good validity in paediatric patients
| Simple, short administration
| Not yet used in
|
* ‘Validity’ describes the correlation with other assessment tools, ‘reliability’ describes the consistency of scoring between assessors (inter-assessor) and within assessors (intra-assessor), ‘responsiveness to change’ describes the ability of the tool to detect meaningful change over time [64]. Please also refer to “Neurocognitive and functional impairment in adult and paediatric Tuberculous Meningitis” in this Tuberculous Meningitis International Research Consortium collection [78].
Study design considerations for different study types.
| Study type | Potential endpoints | Sample size(s)
| Endpoint
|
|---|---|---|---|
|
| – Probability of pharmacokinetic/pharmacodynamic target attainment.
| 10–30 | 3–60 |
|
| – Occurrence of adverse events related to the intervention: solicited
| 35–75 | 60 |
|
| – Early mortality or functional status.
| 100–150 | 14–180 |
|
| – Mortality.
| 250–400 | 180–365 and
|
* Such as occurrence of anaemia with linezolid use; hepatitis with high dose rifampicin; bleeding with aspirin. ** Other clinical parameters, and CSF parameter normalisation need to established in future studies as discussed in ‘Possible early surrogate clinical markers for longer-term outcomes’.
CSF, cerebrospinal fluid; GCS, Glasgow Coma Scale