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Priya Rajendran

Biographic Data

ID9064625
NAMEPriya Rajendran
GIVEN NAMESPriya
FAMILY NAMERajendran
SIGNATURERAJENDRAN P
AFFILIATIONSNational Institute of Research in Tuberculosis
ORCID0000-0003-1412-8294
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR5
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • QT prolongation risk factors and a monitoring strategy in rifampicin-resistant tuberculosis

    Open Access•Gareth Hughes, Elena Frangou et al.•EDITOR•ARTICLE•PLOS Global Public Health•2026

    Treatment of rifampicin-resistant tuberculosis (RR-TB) involves drugs that can prolong the QT interval. There is limited data on risk factors and the level of cardiac monitoring required. We analysed STREAM Stage 2 data to address these issues. A post-hoc analysis was undertaken of data from participants allocated to 3 regimens: 9-month control (n = 202), 9-month oral (n = 211) and 6-month (n = 143). Risk factors for development of a QT or QTcF (…

  • Computer-aided detection for radiological disease severity classification on chest radiograph in children with intra-thoracic tuberculosis

    Open Access•Megan Palmer, Ineke Derks et al.•EDITOR•ARTICLE•PLOS Global Public Health•2026

    Implementation of the World Health Organization’s (WHO) recommended shorter 4-month treatment regimen for non-severe tuberculosis (TB) in children requires classification of disease severity on chest X-ray (CXR). Access to specialists for CXR interpretation is limited. We explored the use of computer-aided detection of CXR (“CAD”) to automate CXR classification of radiological disease severity. To do this, we combined three CXR datasets from chil…

  • Multicentric validation of the proof of concept for utility of Trueprep extracted DNA in line probe assay testing

    Open Access•Priya Rajendran, Kumar Nishant et al.•ARTICLE•PLOS Global Public Health•2025

    In India’s National Tuberculosis Elimination Program (NTEP), diagnosing tuberculosis (TB) and Drug-Resistant TB (DR-TB) involves collecting two sputum specimens from presumptive TB patients. Mycobacterium tuberculosis (MTB) is detected using the Truenat MTB - RIF assay at peripheral sites, with Trueprep for DNA extraction. In the case of a MTB positive, the second specimen is sent to a linked reference laboratory for Line Probe Assay (LPA) testin…

  • Incidence, healthcare-seeking behavior and barriers associated with seeking care for severe childhood pneumonia in rural Bangladesh

    Open Access•Shahjahan Ali, Md Tariqujjaman et al.•EDITOR•ARTICLE•PLOS Global Public Health•2025

    Globally, childhood pneumonia is one of the leading causes of under-five mortality especially in low-and middle-income countries. This study aimed to estimate the incidence, healthcare-seeking behavior, and barriers associated with seeking care for children suffering from severe pneumonia in rural Bangladesh. A prospective study was conducted in two districts at 81 randomly selected villages in rural Bangladesh. We collected data on 12,303 under-…

  • Accuracy of digital chest x-ray analysis with artificial intelligence software as a triage and screening tool in hospitalized patients being evaluated for tuberculosis in Lima, Peru

    Open Access•Amanda M Biewer, Christine Tzelios et al.•EDITOR•ARTICLE•PLOS Global Public Health•2024

    Tuberculosis (TB) transmission in healthcare facilities is common in high-incidence countries. Yet, the optimal approach for identifying inpatients who may have TB is unclear. We evaluated the diagnostic accuracy of qXR (Qure.ai, India) computer-aided detection (CAD) software versions 3.0 and 4.0 (v3 and v4) as a triage and screening tool within the FAST (Find cases Actively, Separate safely, and Treat effectively) transmission control strategy. …

  • Perceived ease of use of Truenat among laboratory staff as a new diagnostic tool for TB in Nigeria

    Open Access•Austin Ihesie, Nkiru Nwokoye et al.•EDITOR•ARTICLE•PLOS Global Public Health•2024

    In January 2020, WHO released a rapid communication on use of molecular assays as initial tests for diagnosis of tuberculosis, recommending Truenat as a replacement for smear microscopy in TB diagnosis. This study was designed to assess perceived ease of use of Truenat among Laboratory staff as a new diagnostic tool for TB in Nigeria. This study used a cross-sectional design. All trained Laboratory personnel operating the Truenat Duo equipment in…

  • Comprehensive assessment of invalid and indeterminate results in Truenat MTB-RIF testing across sites under the national TB elimination program of India

    Open Access•Radha Gopalaswamy, Nishant Kumar et al.•ARTICLE•Frontiers in Public Health•2023

    Introduction Truenat MTB-RIF assay (Truenat), a nucleic acid amplification test (NAAT), is a real-time polymerase chain reaction (RT-PCR) chip-based assay that can detect Mycobacterium tuberculosis ( Mtb ) and rifampicin (RIF) drug resistance using portable, battery-operated devices. The National TB Elimination Program (NTEP) in India introduced this novel tool at the district and subdistrict level in 2020. This study aimed to assess the level an…

No prominent works on this page.

  • Comprehensive assessment of invalid and indeterminate results in Truenat MTB-RIF testing across sites under the national TB elimination program of India

    Open Access•Radha Gopalaswamy, Nishant Kumar et al.•ARTICLE•Frontiers in Public Health•2023

    Introduction Truenat MTB-RIF assay (Truenat), a nucleic acid amplification test (NAAT), is a real-time polymerase chain reaction (RT-PCR) chip-based assay that can detect Mycobacterium tuberculosis ( Mtb ) and rifampicin (RIF) drug resistance using portable, battery-operated devices. The National TB Elimination Program (NTEP) in India introduced this novel tool at the district and subdistrict level in 2020. This study aimed to assess the level an…

  • Accuracy of digital chest x-ray analysis with artificial intelligence software as a triage and screening tool in hospitalized patients being evaluated for tuberculosis in Lima, Peru

    Open Access•Amanda M Biewer, Christine Tzelios et al.•EDITOR•ARTICLE•PLOS Global Public Health•2024

    Tuberculosis (TB) transmission in healthcare facilities is common in high-incidence countries. Yet, the optimal approach for identifying inpatients who may have TB is unclear. We evaluated the diagnostic accuracy of qXR (Qure.ai, India) computer-aided detection (CAD) software versions 3.0 and 4.0 (v3 and v4) as a triage and screening tool within the FAST (Find cases Actively, Separate safely, and Treat effectively) transmission control strategy. …

  • Perceived ease of use of Truenat among laboratory staff as a new diagnostic tool for TB in Nigeria

    Open Access•Austin Ihesie, Nkiru Nwokoye et al.•EDITOR•ARTICLE•PLOS Global Public Health•2024

    In January 2020, WHO released a rapid communication on use of molecular assays as initial tests for diagnosis of tuberculosis, recommending Truenat as a replacement for smear microscopy in TB diagnosis. This study was designed to assess perceived ease of use of Truenat among Laboratory staff as a new diagnostic tool for TB in Nigeria. This study used a cross-sectional design. All trained Laboratory personnel operating the Truenat Duo equipment in…

  • Multicentric validation of the proof of concept for utility of Trueprep extracted DNA in line probe assay testing

    Open Access•Priya Rajendran, Kumar Nishant et al.•ARTICLE•PLOS Global Public Health•2025

    In India’s National Tuberculosis Elimination Program (NTEP), diagnosing tuberculosis (TB) and Drug-Resistant TB (DR-TB) involves collecting two sputum specimens from presumptive TB patients. Mycobacterium tuberculosis (MTB) is detected using the Truenat MTB - RIF assay at peripheral sites, with Trueprep for DNA extraction. In the case of a MTB positive, the second specimen is sent to a linked reference laboratory for Line Probe Assay (LPA) testin…

  • Incidence, healthcare-seeking behavior and barriers associated with seeking care for severe childhood pneumonia in rural Bangladesh

    Open Access•Shahjahan Ali, Md Tariqujjaman et al.•EDITOR•ARTICLE•PLOS Global Public Health•2025

    Globally, childhood pneumonia is one of the leading causes of under-five mortality especially in low-and middle-income countries. This study aimed to estimate the incidence, healthcare-seeking behavior, and barriers associated with seeking care for children suffering from severe pneumonia in rural Bangladesh. A prospective study was conducted in two districts at 81 randomly selected villages in rural Bangladesh. We collected data on 12,303 under-…

  • QT prolongation risk factors and a monitoring strategy in rifampicin-resistant tuberculosis

    Open Access•Gareth Hughes, Elena Frangou et al.•EDITOR•ARTICLE•PLOS Global Public Health•2026

    Treatment of rifampicin-resistant tuberculosis (RR-TB) involves drugs that can prolong the QT interval. There is limited data on risk factors and the level of cardiac monitoring required. We analysed STREAM Stage 2 data to address these issues. A post-hoc analysis was undertaken of data from participants allocated to 3 regimens: 9-month control (n = 202), 9-month oral (n = 211) and 6-month (n = 143). Risk factors for development of a QT or QTcF (…

  • Computer-aided detection for radiological disease severity classification on chest radiograph in children with intra-thoracic tuberculosis

    Open Access•Megan Palmer, Ineke Derks et al.•EDITOR•ARTICLE•PLOS Global Public Health•2026

    Implementation of the World Health Organization’s (WHO) recommended shorter 4-month treatment regimen for non-severe tuberculosis (TB) in children requires classification of disease severity on chest X-ray (CXR). Access to specialists for CXR interpretation is limited. We explored the use of computer-aided detection of CXR (“CAD”) to automate CXR classification of radiological disease severity. To do this, we combined three CXR datasets from chil…

Medicine (5 works) · Tuberculosis (5 works) · Tuberculosis Research and Epidemiology (5 works) · Pathology (4 works) · Biology (2 works) · Computer Science (2 works) · Confidence interval (2 works) · COVID-19 diagnosis using AI (2 works) · Mycobacterium research and diagnosis (2 works) · Mycobacterium tuberculosis (2 works)

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