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International Journal of Infectious... Jul 2023To estimate the pooled proportion of extensively drug-resistant tuberculosis (XDR-TB) and pre-extensively drug-resistant tuberculosis (pre-XDR-TB) in patients with... (Meta-Analysis)
Meta-Analysis
OBJECTIVES
To estimate the pooled proportion of extensively drug-resistant tuberculosis (XDR-TB) and pre-extensively drug-resistant tuberculosis (pre-XDR-TB) in patients with multidrug-resistant TB (MDR-TB).
METHODS
We systematically searched articles from electronic databases: MEDLINE (PubMed), ScienceDirect, and Google Scholar. We also searched gray literature from the different literature sources main outcome of the review was either XDR-TB or pre-XDR-TB in patients with MDR-TB. We used the random-effects model, considering the substantial heterogeneity among studies. Heterogeneity was assessed by subgroup analyses. STATA version 14 was used for analysis.
RESULTS
A total of 64 studies that reported on 12,711 patients with MDR-TB from 22 countries were retrieved. The pooled proportion of pre-XDR-TB was 26% (95% confidence interval [CI]: 22-31%), whereas XDR-TB in MDR-TB cases was 9% (95% CI: 7-11%) in patients treated for MDR-TB. The pooled proportion of resistance to fluoroquinolones was 27% (95% CI: 22-33%) and second-line injectable drugs was 11% (95% CI: 9-13%). Whereas the pooled resistance proportions to bedaquiline, clofazimine, delamanid, and linezolid were 5% (95% CI: 1-8%), 4% (95% CI: 0-10%), 5% (95% CI; 2-8%), and 4% (95% CI: 2-10%), respectively.
CONCLUSION
The burden of pre-XDR-TB and XDR-TB in MDR-TB were considerable. The high burdens of pre-XDR-TB and XDR-TB in patients treated for MDR-TB suggests the need to strengthen TB programs and drug resistance surveillance.
Topics: Humans; Extensively Drug-Resistant Tuberculosis; Antitubercular Agents; Tuberculosis, Multidrug-Resistant; Fluoroquinolones; Clofazimine; Microbial Sensitivity Tests; Mycobacterium tuberculosis
PubMed: 37072053
DOI: 10.1016/j.ijid.2023.04.392 -
Progress in Biophysics and Molecular... 2023Tuberculosis (TB) is among the leading causes of death worldwide from a single infectious agent. This disease usually affects the lungs (pulmonary TB) and can be cured...
Tuberculosis (TB) is among the leading causes of death worldwide from a single infectious agent. This disease usually affects the lungs (pulmonary TB) and can be cured in most cases with a quick diagnosis and proper treatment. Microscopic sputum smear is widely used to diagnose and manage pulmonary TB. Despite being relatively fast and low cost, it can be exhausting because it depends on manually counting TB bacilli (Mycobacterium tuberculosis) in microscope images. In this context, different Deep Learning (DL) techniques are proposed in the literature to assist in performing smear microscopy. This article presents a systematic review based on the PRISMA procedure, which investigates which DL techniques can contribute to classifying TB bacilli in microscopic images of sputum smears using the Ziehl-Nielsen method. After an extensive search and a careful inclusion/exclusion procedure, 28 papers were selected from a total of 400 papers retrieved from nine databases. Based on these articles, the DL techniques are presented as possible solutions to improve smear microscopy. The main concepts necessary to understand how such techniques are proposed and used are also presented. In addition, replication work is also carried out, verifying reproducibility and comparing different works in the literature. In this review, we look at how DL techniques can be a partner to make sputum smear microscopy faster and more efficient. We also identify some gaps in the literature that can guide which issues can be addressed in other works to contribute to the practical use of these methods in laboratories.
Topics: Humans; Mycobacterium tuberculosis; Reproducibility of Results; Deep Learning; Tuberculosis, Pulmonary; Tuberculosis; Sensitivity and Specificity
PubMed: 37023799
DOI: 10.1016/j.pbiomolbio.2023.03.002 -
Progress in Biophysics and Molecular... May 2023Biomarker-based tests may facilitate Tuberculosis (TB) diagnosis, accelerate treatment initiation, and thus improve outcomes. This review synthesizes the literature on... (Review)
Review
Biomarker-based tests may facilitate Tuberculosis (TB) diagnosis, accelerate treatment initiation, and thus improve outcomes. This review synthesizes the literature on biomarker-based detection for TB diagnosis using machine learning. The systematic review approach follows the PRISMA guideline. Articles were sought using relevant keywords from Web of Science, PubMed, and Scopus, resulting in 19 eligible studies after a meticulous screening. All the studies were found to have focused on the supervised learning approach, with Support Vector Machine (SVM) and Random Forest emerging as the top two algorithms, with the highest accuracy, sensitivity and specificity reported to be 97.0%, 99.2%, and 98.0%, respectively. Further, protein-based biomarkers were widely explored, followed by gene-based such as RNA sequence and, Spoligotypes. Publicly available datasets were observed to be popularly used by the studies reviewed whilst studies targeting specific cohorts such as HIV patients or children gathering their own data from healthcare facilities, leading to smaller datasets. Of these, most studies used the leave one out cross validation technique to mitigate overfitting. The review shows that machine learning is increasingly assessed in research to improve TB diagnosis through biomarkers, as promising results were shown in terms of model's detection performance. This provides insights on the possible application of machine learning approaches to diagnose TB using biomarkers as opposed to the traditional methods that can be time consuming. Low-middle income settings, where access to basic biomarkers could be provided as compared to sputum-based tests that are not always available, could be a major application of such models.
Topics: Child; Humans; Mycobacterium tuberculosis; HIV Infections; Tuberculosis; Biomarkers; Machine Learning
PubMed: 36931609
DOI: 10.1016/j.pbiomolbio.2023.03.001 -
Clinical Microbiology and Infection :... Aug 2023Since 2013, heater-cooler unit (HCU) associated Mycobacterium chimaera infections linked to a global outbreak have been described. These infections were characterised by... (Meta-Analysis)
Meta-Analysis Review
Clinical characteristics and outcome of Mycobacterium chimaera infections after cardiac surgery: systematic review and meta-analysis of 180 heater-cooler unit-associated cases.
OBJECTIVES
Since 2013, heater-cooler unit (HCU) associated Mycobacterium chimaera infections linked to a global outbreak have been described. These infections were characterised by high morbidity and mortality due to delayed diagnosis, as well as challenges in antimycobacterial and surgical therapy. This study aimed to investigate the clinical characteristics and outcome of published cases of HCU-associated M. chimaera infections.
METHODS
We searched PubMed and the Web of Science until 15 June 2022 for case reports, case series, and cohort studies, without language restriction, on patients with M. chimaera infection and a prior history of cardiac surgery. In this systematic review of case reports, no risk of bias assessment could be performed. Clinical, microbiological, and radiological features were recorded. Logistic regression and time-to-event analyses were performed to identify the potential factors associated with better survival.
RESULTS
One hundred eighty patients from 54 publications were included. Most patients underwent surgical aortic valve (67.0%; 118/176 of patients with available data) or combined aortic valve and root replacement (15.3%; 27/176). The median period between the time point of surgery and the first symptoms was 17 months (interquartile range 13-26 months). The overall case fatality rate was 45.5% (80/176), with a median survival of 24 months after the initiation of antimycobacterial therapy or diagnosis. A reoperation (including the removal or exchange of foreign material) was associated with better survival in multivariate logistic regression (OR 0.32 for lethal events; 95% CI 0.12-0.79; p 0.015) and in time-to-event analysis (p 0.0094).
DISCUSSION
This systematic review and meta-analysis confirm the high overall mortality of HCU -associated disseminated M. chimaera infections after cardiac surgery. A reoperation seems to be associated with better survival. Physicians have to stay aware of this infection, as patients might still be present today due to the long latency period.
Topics: Humans; Mycobacterium Infections; Mycobacterium; Cardiac Surgical Procedures; Mycobacterium avium Complex; Equipment Contamination; Mycobacterium Infections, Nontuberculous
PubMed: 36918144
DOI: 10.1016/j.cmi.2023.03.005 -
Internal Medicine Journal Dec 2023Antimicrobial resistance and therapy-related adverse effects make Mycobacterium abscessus treatment challenging. Omadacycline is a novel, bioavailable aminomethylcycline...
BACKGROUND
Antimicrobial resistance and therapy-related adverse effects make Mycobacterium abscessus treatment challenging. Omadacycline is a novel, bioavailable aminomethylcycline with favourable in vitro activity against M. abscessus.
AIMS
To describe a case report and review the published literature describing outcomes for M. abscessus infections treated with omadacycline.
METHODS
Systematic literature review.
RESULTS
We identified three articles that, in addition to our case report, describe 18 patients. Pulmonary infections were most frequent. Minimum inhibitory concentrations were reported for two isolates (0.25 and 0.5 mg/L). Despite half the patients starting omadacycline because of failure of prior therapy, 15 (83%) had a favourable outcome, defined as 'cure', 'improvement' or 'clinical success' as determined by the primary study authors. One patient (6%) discontinued omadacycline because of gastrointestinal intolerance.
CONCLUSIONS
Although the limited observational data and in vitro susceptibility results are encouraging, randomised control trials are required to determine the role of omadacycline as part of combination therapy for this most difficult-to-treat pathogen.
Topics: Humans; Anti-Bacterial Agents; Mycobacterium abscessus; Tetracyclines; Mycobacterium Infections, Nontuberculous; Microbial Sensitivity Tests
PubMed: 36917124
DOI: 10.1111/imj.16071 -
International Journal of Antimicrobial... May 2023A milestone in the development of novel antituberculosis drugs is the demonstration of early bactericidal activity (EBA) in a phase IIa clinical trial. The significant... (Review)
Review
A milestone in the development of novel antituberculosis drugs is the demonstration of early bactericidal activity (EBA) in a phase IIa clinical trial. The significant variability in measurements of bacterial load complicates data analysis in these trials. A systematic review and evaluation of methods for determination of EBA in pulmonary tuberculosis studies was undertaken. Bacterial load quantification biomarkers, reporting intervals, calculation methods, statistical testing, and handling of negative culture results were extracted. In total, 79 studies were identified in which EBA was determined. Colony-forming units on solid culture media and/or time-to-positivity in liquid media were the biomarkers used most often, reported in 72 (91%) and 34 (43%) studies, respectively. Twenty-two different reporting intervals were presented, and 12 different calculation methods for EBA were identified. Statistical testing for a significant EBA compared with no change was performed in 54 (68%) studies, and between-group testing was performed in 32 (41%) studies. Negative culture result handling was discussed in 34 (43%) studies. Notable variation was found in the analysis methods and reporting of EBA studies. A standardized and clearly reported analysis method, accounting for different levels of variability in the data, could aid the generalization of study results and facilitate comparison between drugs/regimens.
Topics: Humans; Mycobacterium tuberculosis; Time Factors; Tuberculosis, Pulmonary; Antitubercular Agents; Tuberculosis; Sputum
PubMed: 36893811
DOI: 10.1016/j.ijantimicag.2023.106775 -
Current Problems in Cardiology Jul 2023A considerable epidemiological and pathogenetic overlap exists between tuberculosis (TB) and cardiovascular diseases (CVD). The objective of this study was to establish... (Meta-Analysis)
Meta-Analysis Review
A considerable epidemiological and pathogenetic overlap exists between tuberculosis (TB) and cardiovascular diseases (CVD). The objective of this study was to establish the prevalence of CVD in the TB population. A systematic literature search was performed using Scopus, PubMed, EBSCO, ProQuest, Web of Science on January 25, 2023 using the keywords: "Tuberculosis," "TB," "mycobacterium tuberculosis," and "cardiovascular disease," "CVD" and with individual terms of various CVDs. Observational Studies were included if they reported the prevalence of CVD in the presence of TB in an adult population. The Newcastle-Ottawa Scale was used for quality evaluation. Statistical analyses were performed using STATA version 17. From 10 studies involving 46715 TB patients, a combined prevalence of CVDs was found to be 11% (CI: 95%, 5-16) with significant heterogeneity across studies (I = 96.72%). This study showed a considerable prevalence of CVD among TB patients suggesting TB patients to consider cardiac examination.
Topics: Adult; Humans; Tuberculosis; Mycobacterium tuberculosis; Prevalence; Cardiovascular Diseases
PubMed: 36828041
DOI: 10.1016/j.cpcardiol.2023.101666 -
Infectious Diseases of Poverty Feb 2023Leprosy is an infectious disease caused by Mycobacterium leprae and remains a source of preventable disability if left undetected. Case detection delay is an important...
BACKGROUND
Leprosy is an infectious disease caused by Mycobacterium leprae and remains a source of preventable disability if left undetected. Case detection delay is an important epidemiological indicator for progress in interrupting transmission and preventing disability in a community. However, no standard method exists to effectively analyse and interpret this type of data. In this study, we aim to evaluate the characteristics of leprosy case detection delay data and select an appropriate model for the variability of detection delays based on the best fitting distribution type.
METHODS
Two sets of leprosy case detection delay data were evaluated: a cohort of 181 patients from the post exposure prophylaxis for leprosy (PEP4LEP) study in high endemic districts of Ethiopia, Mozambique, and Tanzania; and self-reported delays from 87 individuals in 8 low endemic countries collected as part of a systematic literature review. Bayesian models were fit to each dataset to assess which probability distribution (log-normal, gamma or Weibull) best describes variation in observed case detection delays using leave-one-out cross-validation, and to estimate the effects of individual factors.
RESULTS
For both datasets, detection delays were best described with a log-normal distribution combined with covariates age, sex and leprosy subtype [expected log predictive density (ELPD) for the joint model: -1123.9]. Patients with multibacillary (MB) leprosy experienced longer delays compared to paucibacillary (PB) leprosy, with a relative difference of 1.57 [95% Bayesian credible interval (BCI): 1.14-2.15]. Those in the PEP4LEP cohort had 1.51 (95% BCI: 1.08-2.13) times longer case detection delay compared to the self-reported patient delays in the systematic review.
CONCLUSIONS
The log-normal model presented here could be used to compare leprosy case detection delay datasets, including PEP4LEP where the primary outcome measure is reduction in case detection delay. We recommend the application of this modelling approach to test different probability distributions and covariate effects in studies with similar outcomes in the field of leprosy and other skin-NTDs.
Topics: Humans; Bayes Theorem; Leprosy; Mycobacterium leprae; Leprosy, Multibacillary; Leprosy, Paucibacillary
PubMed: 36800979
DOI: 10.1186/s40249-023-01065-4 -
PloS One 2023Tuberculosis (TB) which is caused by Mycobacterium tuberculosis poses a significant public health global treat. Tuberculosis meningitis (TBM) accounts for approximately... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Tuberculosis (TB) which is caused by Mycobacterium tuberculosis poses a significant public health global treat. Tuberculosis meningitis (TBM) accounts for approximately 1% of all active TB cases. The diagnosis of Tuberculosis meningitis is notably difficult due to its rapid onset, nonspecific symptoms, and the difficulty of detecting Mycobacterium tuberculosis in cerebrospinal fluid (CSF). In 2019, 78,200 adults died of TB meningitis. This study aimed to assess the microbiological diagnosis TB meningitis using CSF and estimated the risk of death from TBM.
METHODS
Relevant electronic databases and gray literature sources were searched for studies that reported presumed TBM patients. The quality of included studies was assessed using the Joanna Briggs Institute Critical Appraisal tools designed for prevalence studies. Data were summarized using Microsoft excel ver 16. The proportion of culture confirmed TBM, prevalence of drug resistance and risk of death were calculated using the random-effect model. Stata version 16.0 was used perform the statistical analysis. Moreover, subgroup analysis was conducted.
RESULTS
After systematic searching and quality assessment, 31 studies were included in the final analysis. Ninety percent of the included studies were retrospective studies in design. The overall pooled estimates of CSF culture positive TBM was 29.72% (95% CI; 21.42-38.02). The pooled prevalence of MDR-TB among culture positive TBM cases was 5.19% (95% CI; 3.12-7.25). While, the proportion of INH mono-resistance was 9.37% (95% CI; 7.03-11.71). The pooled estimate of case fatality rate among confirmed TBM cases was 20.42% (95%CI; 14.81-26.03). Based on sub group analysis, the pooled case fatality rate among HIV positive and HIV negative TBM individuals was 53.39% (95%CI; 40.55-66.24) and 21.65% (95%CI;4.27-39.03) respectively.
CONCLUSION
Definite diagnosis of TBM still remains global treat. Microbiological confirmation of TBM is not always achievable. Early microbiological confirmation of TBM has great importance to reduce mortality. There was high rate of MDR-TB among confirmed TBM patients. All TB meningitis isolates should be cultured and drug susceptibility tested using standard techniques.
Topics: Adult; Humans; Tuberculosis, Meningeal; Retrospective Studies; Sensitivity and Specificity; Mycobacterium tuberculosis; Tuberculosis, Multidrug-Resistant
PubMed: 36795648
DOI: 10.1371/journal.pone.0279203 -
International Journal of Environmental... Jan 2023The widespread paradigm that younger children usually do not transmit complex (Mtbc) to their contacts has not yet been proven by genotypically confirmed transmissions.... (Review)
Review
The widespread paradigm that younger children usually do not transmit complex (Mtbc) to their contacts has not yet been proven by genotypically confirmed transmissions. Therefore, we undertook a systematic review of molecular-epidemiological studies to investigate documented source and secondary TB (tuberculosis) cases among children. We searched the literature published before August 2022 using , , and databases. PRISMA statement was used for systematic review. Of 312 records retrieved, 39 studies including children aged below 15 years offered epidemiological links between cluster members. In the 39 studies from 16 countries, 225 children were reported as cluster members of whom the overwhelming majority were infected by adults. Only 3 children-of those were 2 children aged below 10-were reported to be the definite source cases of 11 other children and 1 adult with genotypically matched Mtbc isolates. To date, molecular-epidemiological studies involving children with verified transmission links are scarce. As far as the heterogeneity of the studies we identified allows, we could conclude that the results confirm the paradigm that children aged below 10 hardly ever transmit Mtbc to others. The true extent of TB transmission through children may, however, be underestimated by those selected studies.
Topics: Adult; Humans; Child; Mycobacterium tuberculosis; Tuberculosis; Molecular Epidemiology; Epidemiologic Studies; Only Child
PubMed: 36767111
DOI: 10.3390/ijerph20031737