High Transmission Rates of Early Omicron Subvariant BA.2 in Bangkok, Thailand.

The emergence of Omicron as the fifth variant of concern within the SARS-CoV-2 pandemic in late 2021, characterized by its rapid transmission and distinct spike gene mutations, underscored the pressing need for cost-effective and efficient methods to detect viral variants, especially given their evolving nature. This study sought to address this need by assessing the effectiveness of two SARS-CoV-2 variant classification platforms based on RT-PCR and mass spectrometry. The primary aim was to differentiate between Delta, Omicron BA.1, and Omicron BA.2 variants using 618 COVID-19-positive samples collected from Bangkok patients between November 2011 and March 2022. The analysis revealed that both BA.1 and BA.2 variants exhibited significantly higher transmission rates, up to 2-3 times, when compared to the Delta variant. This research presents a cost-efficient approach to virus surveillance, enabling a quantitative evaluation of variant-specific public health implications, crucial for informing and adapting public health strategies.

Prevalence of latent tuberculosis infection among pre-clinical and clinical medical students using QuantiFERON-TB gold plus and tuberculin skin test at a teaching hospital in Thailand: A cross-sectional study.

BACKGROUND: Healthcare workers are considered to be at a higher risk of acquiring tuberculosis (TB) infection than the general population. Clinical medical students are part of the healthcare team and clinical practice are done during their clinical rotation. They could be exposed to similar occupational risks as the healthcare workers. Most students who become infected have latent tuberculosis infection (LTBI) and may not exhibit any clinical symptoms. Some students with LTBI can progress to TB disease during clinical rotations in the hospitals. Therefore, screening for LTBI in this population represents hospital aspect of public health strategy and infection control in medical school in high TB burden countries. OBJECTIVE: We aimed to determine the prevalence of LTBI among fourth-year medical students and sixth-year medical students by using QuantiFERON-TB Gold Plus (QFT-Plus) and Tuberculin Skin Test (TST). METHODS: A cross-sectional study of fourth-year medical students (n = 73) and sixth-year medical students (n = 85) was conducted at the School of Medicine, Chulalongkorn University, Bangkok, Thailand. The medical students (n = 158) who met the eligibility criteria were recruited into the study. LTBI was detected by using QFT-Plus and some of the participants had a tuberculin skin test (TST). The TST was interpreted after 48-72 h. The participants who tested positive by QFT-Plus were considered to have LTBI. Demographic information and data on occupational TB exposure were collected via a questionnaire. A multivariate logistic regression was used to test for associations between independent variables and results of the QFT-Plus. RESULTS: A total of 158 participants were included in this study. The overall prevalence of LTBI was 6.3% (n = 10) as determined by QFT-Plus. The LTBI prevalence was higher in the sixth-year medical students (9.4%) compared to the fourth-year medical students (2.7%). Higher risk of LTBI was associated with sixth-year medical students (odds ratio, 3.69 [95%CI, 0.75-17.96]), but this was not significant. Moreover, history of occupational TB exposure without PPE yielded an odds ratio of 2.98 [95%CI, 0.68-13.12] but it was not statistically significant due to the small sample size. One hundred thirty-nine (88%) participants were BCG vaccinated as per the national vaccination requirements. No abnormal chest X-rays were found for any of the positive participants. Of the 158 participants, 41 (25.9%) of them had TST. Of the 41 participants, 6 (14.6%) tested positive at a cut-off of ≥ 10 mm for TST, which was concordant with QFT-Plus results. The agreement between the two tests was 0.57 using kappa coefficients. CONCLUSION: The screening of TB infection in new healthcare workers (HCWs), especially medical students, is essential to reduce future nosocomial TB incidences in the hospitals. This study showed that there was a high prevalence of LTBI among sixth-year medical students compared to fourth-year medical students. Our results suggest that tendency of higher LTBI prevalence might be associated with advanced clinical years, thus tailored public health education strategy and infection control in tertiary care hospitals for new healthcare workers in TB endemic countries may prevent nosocomial TB disease from developing in the future. Therefore, active surveillance should be done for all new HCWs, and TB preventive therapy should be administered to recent converters.

Evaluation of Anyplex™ II MTB/MDR kit's performance to rapidly detect isoniazid and rifampicin resistant Mycobacterium tuberculosis from various clinical specimens.

To determine the accuracy of multiplex real-time PCR (Anyplex™ II MTB/MDR kit) in detecting Isoniazid (INH)- and Rifampin (RIF)-resistant Mycobacterium tuberculosis strains from various clinical specimens. The performance of Anyplex™ II MTB/MDR kit in detecting INH- and RIF-resistant M. tuberculosis compared to the conventional drug susceptibility tests by Mycobacterial Growth Indicator Tube (MGIT). A total of 430 clinical samples had positive results for M. tuberculosis from both Anyplex™ II MTB/MDR kit assay and mycobacterial cultures by MGIT method. When compared to MGITs, the sensitivity and specificity of Anyplex™ II MTB/MDR kit in detecting INH-resistant TB were 85.71% and 99.75%, respectively. For the detection of MDR-TB, the sensitivity and specificity of the test were 82.35% and 99.76%, respectively. The positive predictive values and negative predictive values to detect INH-resistant TB were 96.77% and 98.75%, respectively. Anyplex™ II MTB/MDR kit can be used to rapidly detect isoniazid and rifampicin resistances. It has a high sensitivity, specificity and PPV in detecting INH-resistant TB and MDR-TB. This test can be used as an alternative test to Xpert MTB/RIF because it can rapidly detect both INH-resistant TB and RIF-resistant TB.