Newer Diagnostic Tests and their Application in Pediatric TB

Pulmonary Tuberculosis in Severely Malnourished Children Admitted to Nutrition Rehabilitation Centers: A Multicenter Study

OBJECTIVES

To identify prevalence of pulmonary tuberculosis (TB) in severely malnourished children admitted to nutritional rehabilitation centers.

METHODS

A multicenter cross-sectional study involving 41 nutrition rehabilitation centres (NRCs) across India was carried out to document prevalence of pulmonary tuberculosis in acute severe malnourished children admitted in NRCs. After training of the NRC staff to follow algorithm provided by national tuberculosis elimination program, children admitted to NRCs were screened for pulmonary tuberculosis.

RESULTS

A total of 4356 children were enrolled across all the sites. Gastric aspirate for Cartridge based nucleic acid amplification test (CBNAAT), tuberculin skin test (TST) and X-ray film of chest were done in more than 99% of enrolled subjects. A total of 189 children (4.3%) had pulmonary tuberculosis. Eighty-seven (1.99%) were microbiologically confirmed by positive CBNAAT. On multivariate analysis, only significant association was with history of contact with TB patient in family.

CONCLUSIONS

The present results suggest that a significant proportion (>4%) of children admitted in NRCs suffer from pulmonary tuberculosis. It is feasible to improve diagnosis of tuberculosis as a whole and microbiologically confirmed TB.

Higher Sensitivity of Xpert MTB/RIF Ultra Over Tuberculosis Culture for the Diagnosis of Spinal Tuberculosis With Open or Computed Tomography-Guided Biopsies

Background

Diagnostic specimens for spinal tuberculosis (STB) are mostly collected via open surgery. Percutaneous computed tomography (CT)-guided biopsies are used in times of limited surgical availability. However, poor diagnostic accuracy of Mycobacterium tuberculosis (Mtb) culture has been reported with this method, due to limited sample volume and the paucibacillary nature of STB. We evaluated Xpert MTB/RIF Ultra on open and CT-guided biopsies as compared with the gold standard Mtb culture and histopathology.

Methods

We conducted a prospective diagnostic accuracy study of Xpert Ultra, as compared with tuberculosis culture and histopathology, in adults with signs and symptoms of STB at a tertiary academic hospital in South Africa from November 2020 to December 2021. Diagnostic testing was performed on 31 patients with available samples.

Results

Xpert Ultra had a sensitivity of 94.7% (95% CI, 75.3%-99.7%) and specificity of 100% (95% CI, 75.7%-100.0%) against a reference standard of Mtb culture and histopathology. Xpert Ultra had high diagnostic accuracy in open and CT-guided biopsy samples with sensitivity and specificity of 100% and 100% (open) and 89% and 100% (CT), respectively. Mtb culture had limited specificity for CT-guided biopsies (43%; 95% CI, 15.8%-74.9%). HIV-1 coinfection did not affect Mtb abundance measures by Xpert Ultra or culture. Xpert Ultra was also superior to culture for STB diagnosis in patients concurrently treated for pulmonary tuberculosis.

Conclusions

Xpert Ultra detected more STB cases than culture for CT-guided biopsy samples. There was also no difference in sensitivity for open biopsies, irrespective of HIV-1 status, making it an important tool for rapid diagnosis, especially during times or in locations where open surgery is not possible or concurrent pulmonary tuberculosis treatment is initiated.

An accurate artificial intelligence system for the detection of pulmonary and extra pulmonary Tuberculosis

Tuberculosis (TB) is the greatest irresistible illness in humans, caused by microbes Mycobacterium TB (MTB) bacteria and is an infectious disease that spreads from one individual to another through the air. It principally influences lung, which is termed Pulmonary TB (PTB). However, it can likewise influence other parts of the body such as the brain, bones and lymph nodes. Hence, it is also referred to as Extra Pulmonary TB (EPTB). TB has normal symptoms, so without proper testing, it is hard to detect if a patient has TB or not. In this paper, an accurate and novel system for diagnosing TB (PTB and EPTB) has been designed using image processing and AI-based classification techniques. The designed system is comprised of two phases. Firstly, the X-Ray image is processed using preprocessing, segmentation and features extraction and then, three different AI-based techniques are applied for classification. For image processing, 'Histogram Filter' and 'Median Filter' are applied with the CLAHE process to retrieve the segmented image. Then, classification based on AI techniques is done. The designed system produces the accuracy of 98%, 83%, and 89% for Decision Tree, SVM, and Naïve Bayes Classifier, respectively and has been validated by the doctors of the Jalandhar, India.

Changing Clinicoradiologic Spectrum of Intracranial Neurotuberculosis in Children: A Cross-sectional Study

BACKGROUND

Neurotuberculosis is among the most severe type of tuberculosis with high mortality and morbidity in all age groups. Various sociodemographic and disease-/treatment-related factors have emerged over the years that can affect clinical and radiologic features of neurotuberculosis.

OBJECTIVE

To investigate various clinical and neuroradiologic presentations of neurotuberculosis.

METHODOLOGY

This cross-sectional study was done in a tertiary care center of northern India. The patients between the ages of 3 months and 18 years with newly diagnosed neurotuberculosis were enrolled after taking informed consent.

RESULTS

A total of 78 patients (37% males) were enrolled. Fifty-six patients (72%) had tubercular meningitis (TBM) and 22 (28%) isolated tuberculomas. Very high percentage of patients in both the groups was BCG vaccinated. In the tubercular meningitis group, fever (68%), headache (59%), and vomiting (54%) were the most common complaints whereas in the tuberculoma group, seizures (95.5%) were the main complaint and systemic symptoms were rare. In tubercular meningitis patients, cerebrospinal fluid-based studies showed cartridge-based nucleic acid amplification test (Xpert MTB/RIF) positivity for Mycobacterium tuberculosis in 17.6% cases, whereas on gastric aspirate and sputum examination, acid-fast bacilli were seen in 30.7% and cartridge-based nucleic acid amplification test was positive in 19% patients. On neuroimaging, hydrocephalus was seen in 44.6% of tubercular meningitis patients, infarcts in 32%, and basal exudates in 12% patients only; coexistent tuberculomas were seen in 53%.

CONCLUSION

Compared with the available literature, the present study showed a smaller percentage of children <5 years of age, stage III tubercular meningitis cases, and typical neuroradiologic findings like hydrocephalus and basal exudates and more tuberculomas associated with tubercular meningitis.

Use of Digital Technology to Enhance Tuberculosis Control: Scoping Review

Background

Tuberculosis (TB) is the leading cause of death from a single infectious agent, with around 1.5 million deaths reported in 2018, and is a major contributor to suffering worldwide, with an estimated 10 million new cases every year. In the context of the World Health Organization’s End TB strategy and the quest for digital innovations, there is a need to understand what is happening around the world regarding research into the use of digital technology for better TB care and control.

Objective

The purpose of this scoping review was to summarize the state of research on the use of digital technology to enhance TB care and control. This study provides an overview of publications covering this subject and answers 3 main questions: (1) to what extent has the issue been addressed in the scientific literature between January 2016 and March 2019, (2) which countries have been investing in research in this field, and (3) what digital technologies were used?

Methods

A Web-based search was conducted on PubMed and Web of Science. Studies that describe the use of digital technology with specific reference to keywords such as TB, digital health, eHealth, and mHealth were included. Data from selected studies were synthesized into 4 functions using narrative and graphical methods. Such digital health interventions were categorized based on 2 classifications, one by function and the other by targeted user.

Results

A total of 145 relevant studies were identified out of the 1005 published between January 2016 and March 2019. Overall, 72.4% (105/145) of the research focused on patient care and 20.7% (30/145) on surveillance and monitoring. Other programmatic functions 4.8% (7/145) and electronic learning 2.1% (3/145) were less frequently studied. Most digital health technologies used for patient care included primarily diagnostic 59.4% (63/106) and treatment adherence tools 40.6% (43/106). On the basis of the second type of classification, 107 studies targeted health care providers (107/145, 73.8%), 20 studies targeted clients (20/145, 13.8%), 17 dealt with data services (17/145, 11.7%), and 1 study was on the health system or resource management. The first authors’ affiliations were mainly from 3 countries: the United States (30/145 studies, 20.7%), China (20/145 studies, 13.8%), and India (17/145 studies, 11.7%). The researchers from the United States conducted their research both domestically and abroad, whereas researchers from China and India conducted all studies domestically.

Conclusions

The majority of research conducted between January 2016 and March 2019 on digital interventions for TB focused on diagnostic tools and treatment adherence technologies, such as video-observed therapy and SMS. Only a few studies addressed interventions for data services and health system or resource management.