Increasing Cytomegalovirus Detection Rate from Respiratory Tract Specimens by a New Laboratory-Developed Automated Molecular Diagnostic Test

Tsai, Huey‐Pin; Yeh, Chun-Sheng; Lin, I-Ting; Ko, Wen Chien; Wang, Jen Ren

doi:10.3390/microorganisms8071063

Cited by 4 publications

(1 citation statement)

References 40 publications

(45 reference statements)

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“…These have all caused high hospitalization rates [1][2][3][4]. Immunocompromised patients are vulnerable to severe diseases caused by cytomegalovirus (CMV), herpes simplex virus (HSV), and herpes zoster virus infections [5][6][7][8]. Thus, a timely diagnosis is necessary for clinicians to determine the optimal treatment plan.…”

Section: Introductionmentioning

confidence: 99%

Novel Software for High-level Virological Testing: Self-Designed Immersive Virtual Reality Training Approach

Tsai¹,

Lin²,

Lin³

et al. 2023

J Med Internet Res

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Background To ensure the timely diagnosis of emerging infectious diseases, high-tech molecular biotechnology is often used to detect pathogens and has gradually become the gold standard for virological testing. However, beginners and students are often unable to practice their skills due to the higher costs associated with high-level virological testing, the increasing complexity of the equipment, and the limited number of specimens from patients. Therefore, a new training program is necessary to increase training and reduce the risk of test failure. Objective The aim of the study is to (1) develop and implement a virtual reality (VR) software for simulated and interactive high-level virological testing that can be applied in clinical practice and skills building or training settings and (2) evaluate the VR simulation’s effectiveness on reaction, learning, and behavior of the students (trainees). Methods Viral nucleic acid tests on a BD MAX instrument were selected for our VR project because it is a high-tech automatic detection system. There was cooperation between teachers of medical technology and biomedical engineering. Medical technology teachers were responsible for designing the lesson plan, and the biomedical engineering personnel developed the VR software. We designed a novel VR teaching software to simulate cognitive learning via various procedure scenarios and interactive models. The VR software contains 2D VR “cognitive test and learning” lessons and 3D VR “practical skills training” lessons. We evaluated students’ learning effectiveness pre- and posttraining and then recorded their behavior patterns when answering questions, performing repeated exercises, and engaging in clinical practice. Results The results showed that the use of the VR software met participants’ needs and enhanced their interest in learning. The average posttraining scores of participants exposed to 2D and 3D VR training were significantly higher than participants who were exposed solely to traditional demonstration teaching (P<.001). Behavioral assessments of students pre- and posttraining showed that students exposed to VR-based training to acquire relevant knowledge of advanced virological testing exhibited significantly improved knowledge of specific items posttraining (P<.01). A higher participant score led to fewer attempts when responding to each item in a matching task. Thus, VR can enhance students’ understanding of difficult topics. Conclusions The VR program designed for this study can reduce the costs associated with virological testing training, thus, increasing their accessibility for students and beginners. It can also reduce the risk of viral infections particularly during disease outbreaks (eg, the COVID-19 pandemic) and also enhance students’ learning motivation to strengthen their practical skills.

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Section: Introductionmentioning

confidence: 99%

Novel Software for High-level Virological Testing: Self-Designed Immersive Virtual Reality Training Approach

Tsai¹,

Lin²,

Lin³

et al. 2023

J Med Internet Res

Self Cite

View full text Add to dashboard Cite

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Invasive pulmonary aspergillosis is associated with cytomegalovirus viremia in critically ill patients - A retrospective cohort study

Kuo

Wang

Tsai

et al. 2022

Journal of Microbiology, Immunology and Infection

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Spatially resolved qualified sewage spot sampling to track SARS-CoV-2 dynamics in Munich - One year of experience

Muenchhoff

Roth²,

Springer³

et al. 2021

Science of The Total Environment

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Wastewater-based epidemiology (WBE) is a tool now increasingly proposed to monitor the SARS-CoV-2 burden in populations without the need for individual mass testing. It is especially interesting in metropolitan areas where spread can be very fast, and proper sewage systems are available for sampling with short flow times and thus little decay of the virus. We started in March 2020 to set up a once-a-week qualified spot sampling protocol in six different locations in Munich carefully chosen to contain primarily wastewater of permanent residential areas, rather than industry or hospitals. We used RT-PCR and sequencing to track the spread of SARS-CoV-2 in the Munich population with temporo-spatial resolution. The study became fully operational in mid-April 2020 and has been tracking SARS-CoV-2 RNA load weekly for one year. Sequencing of the isolated viral RNA was performed to obtain information about the presence and abundance of variants of concern in the Munich area over time. We demonstrate that the evolution of SARS-CoV-2 RNA loads (between <7.5 and 3874/mL) in these different areas within Munich correlates well with official seven day incidence notification data (between 0.0 and 327 per 100,000) obtained from the authorities within the respective region. Wastewater viral loads predicted the dynamic of SARS-CoV-2 local incidence about 3 weeks in advance of data based on respiratory swab analyses. Aligning with multiple different point-mutations characteristic for certain variants of concern, we could demonstrate the gradual increase of variant of concern B.1.1.7 in the Munich population beginning in January 2021, weeks before it became apparent in sequencing results of swabs samples taken from patients living in Munich. Overall, the study highlights the potential of WBE to monitor the SARS-CoV-2 pandemic, including the introduction of variants of concern in a local population.

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Increasing Cytomegalovirus Detection Rate from Respiratory Tract Specimens by a New Laboratory-Developed Automated Molecular Diagnostic Test

Cited by 4 publications

References 40 publications

Novel Software for High-level Virological Testing: Self-Designed Immersive Virtual Reality Training Approach

Novel Software for High-level Virological Testing: Self-Designed Immersive Virtual Reality Training Approach

Invasive pulmonary aspergillosis is associated with cytomegalovirus viremia in critically ill patients - A retrospective cohort study

Spatially resolved qualified sewage spot sampling to track SARS-CoV-2 dynamics in Munich - One year of experience

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