Objectives: We aim to define the burden of rifampicin monoresistant tuberculosis (TB) at a tertiary care centre in northern India as well as determine the second-line drug susceptibilities (SL-DST) in a subset of patients.
Methods: A total of 3045 pulmonary (n=1883) and extrapulmonary (n=1162) samples from likely patients with TB were subjected to microscopy, culture and the Xpert MTB/RIF assay from March 2017 to June 2019. SL-DST testing by line probe assay version 2 for fluoroquinolones (FQs) and second-line injectable drugs were performed on 62 samples.
Results: Out of 3045 samples processed in our laboratory during the study period, 36.1% (1101/3045) were positive for Mycobacterium tuberculosis complex (MTBC) and 21.6% were rifampicin monoresistant (223/1032). The rate of rifampicin resistance in pulmonary samples was 23.5% (166/706) and in extrapulmonary cases, it was 17.4% (57/326). Out of 62 cases included for second-line testing, 48 were resistant to FQs (77.4%) while 11 were extensively drug resistant.
Conclusions: India urgently needs to arrest an emerging multidrug-resistant TB epidemic with associated resistance to FQs. A robust surveillance system is needed to execute the National Strategic Plan for 2017-2025.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055106 | PMC |
http://dx.doi.org/10.1136/bmjopen-2020-044096 | DOI Listing |
PLoS Negl Trop Dis
January 2025
Department of Infectious Diseases, Children's Hospital 2, Ho Chi Minh City, Vietnam.
Background: Severe respiratory distress and acute kidney injury (AKI) are key factors leading to poor outcomes in patients with dengue shock syndrome (DSS). There is still limited data on how much resuscitated fluid and the specific ratios of intravenous fluid types contribute to the development of severe respiratory distress necessitating mechanical ventilation (MV) and AKI in children with DSS.
Methodology/principal Findings: This retrospective study was conducted at a tertiary pediatric hospital in Vietnam between 2013 and 2022.
J Family Med Prim Care
December 2024
Department of Microbiology, College of Medicine and Sagore Dutta Hospital, Kolkata, West Bengal, India.
Background: Pulmonary tuberculosis (PTB) accounts for 85% of all reported tuberculosis cases globally. Extrapulmonary involvement can occur in isolation or along with a pulmonary focus as in the case of patients with disseminated tuberculosis (TB). EPTB can occur through hematogenous, lymphatic, or localized bacillary dissemination from a primary source, such as PTB and affects the brain, eye, mouth, tongue, lymph nodes of neck, spine, bones, muscles, skin, pleura, pericardium, gastrointestinal, peritoneum and the genitourinary system as primary and/or disseminated disease.
View Article and Find Full Text PDFCureus
December 2024
Department of Microbiology, ESIC Medical College and Hospital, Faridabad, IND.
Aim: This study aimed to determine the prevalence of microbiologically confirmed female genital tuberculosis (FGTB) infection in patients attending a tertiary care hospital in North India.
Materials And Methods: A total of 623 endometrial biopsy samples were processed in the mycobacteriology laboratory from the outpatient and inpatient gynecology departments between May 2022 and February 2024. Ziehl-Neelsen (ZN) smear was performed on all samples.
Mycopathologia
January 2025
Doodhadhari Burfani Hospital, Haridwar, Uttarakhand, India.
Background: LDBio immunochromatographic lateral flow assay, a point-of care test, detects IgM/IgG antibodies against Aspergillus fumigatus (LDBio-ALFA). LDBio-ALFA has been evaluated for diagnosing chronic pulmonary aspergillosis (CPA) in hospital patients, though its efficacy in field settings remains unexamined.
Objective: Our primary objective was to assess the diagnostic accuracy of LDBio-ALFA in diagnosing CPA in a field and a hospital cohort.
Med Mycol
January 2025
National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
In clinical practice, differentiating among pulmonary mucormycosis (PM), invasive pulmonary aspergillosis (IPA), and pulmonary tuberculosis (PTB) can be challenging. This study aimed to evaluate the performance of chest CT-based artificial intelligence (AI) models in distinguishing among these three diseases. Patients with confirmed PM, IPA, or PTB were retrospectively recruited from three tertiary hospitals.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!