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Reumatologia Clinica Mar 2024Adenosine deaminase (ADA) activity has shown good performance in diagnosing pleural, peritoneal, and meningeal tuberculosis. This meta-analysis aimed to evaluate the... (Meta-Analysis)
Meta-Analysis
OBJECTIVES
Adenosine deaminase (ADA) activity has shown good performance in diagnosing pleural, peritoneal, and meningeal tuberculosis. This meta-analysis aimed to evaluate the performance of measuring ADA activity in synovial fluid for the early diagnosis of joint tuberculosis.
METHODS
We searched published information in MEDLINE, Embase, Cochrane Library, Web of Science, and MedRxiv databases, as well as unpublished information in the American College of Rheumatology and European League Against Rheumatism for conference abstracts (2012-2021). We also scanned the reference lists of articles. Two reviewers independently applied the criteria for selection, assessed quality, and extracted data (PROSPERO number CRD42021284472).
RESULTS
Seven independent studies (N=305 subjects) that compared ADA activity in synovial fluid with a composite reference diagnostic method for tuberculosis were included. Overall, the risk of bias was judged low. Studies were classified as high quality (n=3; 148 subjects) and low quality (n=4; 157 subjects). Pooled sensitivity and specificity of ADA activity was 94% (95% confidence interval [CI], 0.89-98; I=23%) and 88% (95% CI, 83-92; I=83%), respectively. The random-effects model for pooled diagnostic Odds ratio was 67.1 (95%CI, 20.3-222.2; I=30%). The receiver operating characteristic curve area was 0.96 (95% CI, 0.92-0.99). Meta-regression did not identify the quality of the study, country of publication, or the type of assay as a source of heterogeneity.
CONCLUSIONS
Measuring ADA activity in synovial fluid demonstrates good performance for the early diagnosis of joint tuberculosis.
Topics: Humans; Adenosine Deaminase; Synovial Fluid; Sensitivity and Specificity; Tuberculosis, Osteoarticular; Arthritis
PubMed: 38494302
DOI: 10.1016/j.reumae.2024.02.002 -
BMC Infectious Diseases Feb 2024To evaluate the efficacy of urokinase (UK) treatment for tuberculous pleural effusion (TPE). (Meta-Analysis)
Meta-Analysis
OBJECTIVE
To evaluate the efficacy of urokinase (UK) treatment for tuberculous pleural effusion (TPE).
METHODS
We searched Chinese biomedical literature database, WanFang data, CNKI, PubMed, EMbase, Web of Science and The Cochrane Library for the randomized controlled trials (RCTs) of urokinase treatment for tuberculous pleurisy from January 2000 to February 2023. Pleural tuberculosis, urokinase and randomized controlled trial were used as keywords. The eligible studies were meta-analyzed by using Revman 5.4.1: risk of bias was assessed, mean difference (MD) and 95% CI were used for continuous variables, pooled studies were conducted using random-effects or fixed-effects models, forest plots were drawn to analyze efficacy, and funnel plots were drawn to discuss publication bias.
RESULTS
Twenty-nine RCTs were included. The meta-analyzed results showed that, on the basis of routine anti-tuberculosis, comparison between the treatment group treated with urokinase and the control group treated with antituberculosis alone, the time of pleural effusion absorption [MD-5.82, 95%CI (- 7.77, - 3.87); P<0.00001] and the residual pleural thickness [MD-1.31, 95%CI (- 1.70, - 0.91); P<0.00001], pleural effusion drainage volume [MD 822.81, 95%CI (666.46,977.96); P<0.00001], FVC%pred [MD 7.95, 95%CI (4.51,11.40); P<0.00001], FEV1%pred [MD 12.67, 95%CI (10.09,15.24); P<0.00001] were significantly different.
CONCLUSION
The clinical effect of urokinase is better than that of antituberculous therapy alone: it can increase total pleural effusion, decrease residual pleural thickness, improve the pulmonary function, and shorten the time of pleural effusion absorption.
Topics: Humans; Tuberculosis, Pleural; Urokinase-Type Plasminogen Activator; Pleural Effusion; Exudates and Transudates; Drainage
PubMed: 38402168
DOI: 10.1186/s12879-024-08975-0 -
BMJ Open Oct 2023Very few studies and limited information are available regarding the mechanism of fibrosis in tuberculosis (TB). This study aimed to identify, describe and synthesise... (Meta-Analysis)
Meta-Analysis
OBJECTIVES
Very few studies and limited information are available regarding the mechanism of fibrosis in tuberculosis (TB). This study aimed to identify, describe and synthesise potential biomarkers of the development of tissue fibrosis induced by TB through a systematic method and meta-analysis.
METHODS
A literature search was performed using keywords according to the topic from electronic databases (ScienceDirect and PubMed) and other methods (websites, organisations and citations). Studies that matched predetermined eligibility criteria were included. The quality assessment tool used was the Quality Assessment of Diagnostic Accuracy Score 2, and the data obtained were processed using Review Manager V.5.3.
RESULTS
Of the 305 studies, 7 met the eligibility criteria with a total sample of 365. The results of the meta-analysis showed that the post-TB group of patients with pulmonary parenchymal fibrosis had a higher transforming growth factor (TGF)-β level (6.09) than the control group (1.82), with a 4.27 (95% CI: 0.92 to 7.61) mean difference. Moreover, patients with residual pleural thickening post-TB had a higher mean of TGF-β (0.61) than the control group (0.56), with a 0.05 (95% CI: 0.04 to 0.06) mean difference. Besides TGF-β, our qualitative synthesis also found that matrix metalloproteinase-1 might have a role in forming and developing pulmonary tissue fibrosis, thus, could be used as a predictor marker in the formation of fibrotic lesions in patients with TB. In addition, several other biomarkers were assessed in the included studies, such as tumour necrosis factor-α, interleukin (IL)-4, IL-8, IL-10, plasminogen activator inhibitor-1 and platelet-derived growth factor. However, this study is not intended to examine these biomarkers.
CONCLUSIONS
There were differences in the results of TGF-β levels in patients with fibrotic lesions compared with controls. TGF-β might be a biomarker of fibrotic tissue formation or increased pulmonary tissue fibrosis in post-TB patients. However, further studies are needed on a larger scale.
Topics: Humans; Transforming Growth Factor beta; Tuberculosis; Fibrosis; Pulmonary Fibrosis; Biomarkers; Matrix Metalloproteinases; Transforming Growth Factors
PubMed: 37827747
DOI: 10.1136/bmjopen-2022-070377 -
Translational Pediatrics Jul 2023Chylothorax as part of the clinical spectrum of tuberculosis (TB) is a rare entity, especially among children. However, it is crucial for clinicians to be able to...
BACKGROUND
Chylothorax as part of the clinical spectrum of tuberculosis (TB) is a rare entity, especially among children. However, it is crucial for clinicians to be able to identify, correlate, and diagnose chylothorax as it poses significant morbidity to patients.
CASE DESCRIPTION
We report on a paediatric case of pleural TB complicated with complex chylothorax, and systematically reviewing the literature for cases of tuberculous chylothorax among children particularly looking at the (I) demographic, (II) clinical presentations, (III) radiological findings, and (IV) investigations among this cohort of patients. The systematic review complied to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We used three separate databases, namely PubMed, Ovid, and Scopus to search for articles with terms "chylothorax", "tuberculosis", and "children". We included article reporting on: (I) children aged below 18; (II) infected by , and (III) written in English only. We reviewed the publications from the inception up to August 2022. After an extensive search, 7 articles were reviewed. We included 10 patients from all the reports. Most common symptoms reported were intermittent fever (n=6) and chronic cough (n=5). Other symptoms include shortness of breath and chest discomfort due to fluid accumulation and/or effusion. Typical TB symptoms like night sweat, loss of weight, and loss of appetite were present in some of the reported patients. Chest radiography was the most used diagnostic imaging modality, in which all of the reported cases noted presence of pleural effusion, with some cases proceeded with computer tomography (CT) of thorax to aid in the diagnosis. Most of the patients had lymphadenopathies and all patients underwent pleural tapping for analysis and symptomatic relief. From the pleural fluid milky appearance and biochemistry correlation, the diagnosis of chylothorax was established in all 10 patients. Every patient was tested positive for TB infection.
CONCLUSIONS
Most of the cases showed similar clinical presentation, radiological findings, and laboratory investigations particularly the classic analysis findings of pleural fluid. Even though TB is not a common cause of chylothorax, clinicians should have raised suspicion of it especially after gathering full history and correlating it with the other findings.
PubMed: 37575907
DOI: 10.21037/tp-22-636 -
Sensors (Basel, Switzerland) Jul 2023Pulmonary tuberculosis (PTB) is a bacterial infection that affects the lung. PTB remains one of the infectious diseases with the highest global mortalities. Chest... (Review)
Review
Pulmonary tuberculosis (PTB) is a bacterial infection that affects the lung. PTB remains one of the infectious diseases with the highest global mortalities. Chest radiography is a technique that is often employed in the diagnosis of PTB. Radiologists identify the severity and stage of PTB by inspecting radiographic features in the patient's chest X-ray (CXR). The most common radiographic features seen on CXRs include cavitation, consolidation, masses, pleural effusion, calcification, and nodules. Identifying these CXR features will help physicians in diagnosing a patient. However, identifying these radiographic features for intricate disorders is challenging, and the accuracy depends on the radiologist's experience and level of expertise. So, researchers have proposed deep learning (DL) techniques to detect and mark areas of tuberculosis infection in CXRs. DL models have been proposed in the literature because of their inherent capacity to detect diseases and segment the manifestation regions from medical images. However, fully supervised semantic segmentation requires several pixel-by-pixel labeled images. The annotation of such a large amount of data by trained physicians has some challenges. First, the annotation requires a significant amount of time. Second, the cost of hiring trained physicians is expensive. In addition, the subjectivity of medical data poses a difficulty in having standardized annotation. As a result, there is increasing interest in weak localization techniques. Therefore, in this review, we identify methods employed in the weakly supervised segmentation and localization of radiographic manifestations of pulmonary tuberculosis from chest X-rays. First, we identify the most commonly used public chest X-ray datasets for tuberculosis identification. Following that, we discuss the approaches for weakly localizing tuberculosis radiographic manifestations in chest X-rays. The weakly supervised localization of PTB can highlight the region of the chest X-ray image that contributed the most to the DL model's classification output and help pinpoint the diseased area. Finally, we discuss the limitations and challenges of weakly supervised techniques in localizing TB manifestations regions in chest X-ray images.
Topics: Humans; X-Rays; Radiography, Thoracic; Tuberculosis, Pulmonary; Radiography; Tuberculosis
PubMed: 37571564
DOI: 10.3390/s23156781 -
Academic Radiology Dec 2023This systematic review and meta-analysis aimed to investigate the radiological predictors of post-coronavirus disease 19 (COVID-19) pulmonary fibrosis and incomplete... (Meta-Analysis)
Meta-Analysis Review
RATIONALE AND OBJECTIVES
This systematic review and meta-analysis aimed to investigate the radiological predictors of post-coronavirus disease 19 (COVID-19) pulmonary fibrosis and incomplete absorption of pulmonary lesions.
MATERIALS AND METHODS
We systematically searched PubMed, EMBASE, and Web of Science for studies reporting the predictive value of radiological findings in patients with post-COVID-19 lung residuals published through November 11, 2022. The pooled odds ratios with a 95% confidence interval (CI) were assessed. The random-effects model was used due to the heterogeneity of the true effect sizes.
RESULTS
We included 11 studies. There were 1777 COVID-19-positive patients, and 1014 (57%) were male. All studies used chest computed tomography (CT) as a radiologic tool. Moreover, chest X-ray (CXR) and lung ultrasound were used in two studies, along with a CT scan. CT severity score (CTSS), Radiographic Assessment of Lung Edema score (RALE), interstitial score, lung ultrasound score (LUS), patchy opacities, abnormal CXR, pleural traction, and subpleural abnormalities were found to be predictors of post-COVID-19 sequels. CTSS and consolidations were the most common predictors among included studies. Pooled analysis revealed that pulmonary residuals in patients with initial consolidation are about four times more likely than in patients without this finding (odds ratio: 3.830; 95% CI: 1.811-8.102, I2: 4.640).
CONCLUSION
Radiological findings can predict the long-term pulmonary sequelae of COVID-19 patients. CTSS is an important predictor of lung fibrosis and COVID-19 mortality. Lung fibrosis can be diagnosed and tracked using the LUS. Changes in RALE score during hospitalization can be used as an independent predictor of mortality.
Topics: Humans; Male; Female; COVID-19; SARS-CoV-2; Pulmonary Fibrosis; Respiratory Sounds; Lung; Disease Progression
PubMed: 37491177
DOI: 10.1016/j.acra.2023.06.002