Ngoc Minh Luu, Thi Kim Thuy Nguyen, Thu Trang Vu, Thai Son Dinh, Ngoc Hoat Luu, Thi Thanh Toan Do, Van Son Nguyen, Thi Bich Van Ha, Dinh Chuc Nguyen, Thi Huong Tran, Thi Thuy Hang Phung, Xuan Phuong Duong, Quynh Long Khuong, Thi Thu Trang Nguyen, Yu Mon Saw, Thi Ngoc Anh Hoang, Thi Nh
Nagoya J Med Sci.
Evaluation of liver fibrosis is necessary to make the therapeutic decision and assess the prognosis of CHB patients. The current study aimed to describe the progression and identify some influencing factors in patients with chronic hepatitis B at a General Hospital in Northern Vietnam. The longitudinal study included 55 eligible subjects diagnosed Hepatitis-B-virus. Dependent variable was the aspartate aminotransferase/platelet ratio index and we collected some demographic variables and disease related and behaviour variables. Bayesian Model Averaging was used to select variables into model. Mixed-effect linear models were used to evaluate the change of the aspartate aminotransferase/platelet ratio index over time and identify related factors. the aspartate aminotransferase/platelet ratio index differences between examinations, age of participants, working status were statistically significant. This pattern indicated that the average the aspartate aminotransferase/platelet ratio index of the population decreased by 0.005 (95% CI=-0.009; –0.001) after each patient’s visit, and increased by 0.013 if the patient’s age increased by 1 year (95% CI=0.005; 0.0219). For non-working patients, the aspartate aminotransferase/platelet ratio index was lower, coefficient was –0.054 (95% CI=-0.108; 0.001). Other variables such as gender, education level, time for disease detection, drinking tea, alcohol consumption, forgetting to take medicine and the aspartate aminotransferase/platelet ratio index were not significantly different. The study showed that the majority of study subjects had average the aspartate aminotransferase/platelet ratio index, and were relatively well controlled and treated during the study. Age and working status are factors that influence the the aspartate aminotransferase/platelet ratio index
Ha-Linh Quach, Thai Quang Pham, Ngoc Anh Hoang, Dinh Cong Phung, Viet Cuong Nguyen, Son Hong Le, Thanh Cong Le, Dang Hai Le, Anh Duc Dang, Duong Nhu Tran, Nghia Duy Ngu, Florian Vogt, Cong Khanh Nguyen
Healthcare Informatics Research
Objectives: Online misinformation has reached unprecedented levels during the coronavirus disease 2019 (COVID-19) pandemic. This study analyzed the magnitude and sentiment dynamics of misinformation and unverified information about public health interventions during a COVID-19 outbreak in Da Nang, Vietnam, between July and September 2020. Methods: We analyzed user-generated online information about five public health interventions during the Da Nang outbreak. We compared the volume, source, sentiment polarity, and engagements of online posts before, during, and after the outbreak using negative binomial and logistic regression, and assessed the content validity of the 500 most influential posts. Results: Most of the 54,528 online posts included were generated during the outbreak (n = 46,035; 84.42%) and by online newspapers (n = 32,034; 58.75%). Among the 500 most influential posts, 316 (63.20%) contained genuine information, 10 (2.00%) contained misinformation, 152 (30.40%) were non-factual opinions, and 22 (4.40%) contained unverifiable information. All misinformation posts were made during the outbreak, mostly on social media, and were predominantly negative. Higher levels of engagement were observed for information that was unverifiable (incidence relative risk [IRR] = 2.83; 95% confidence interval [CI], 1.33–0.62), posted during the outbreak (before: IRR = 0.15; 95% CI, 0.07–0.35; after: IRR = 0.46; 95% CI, 0.34-0.63), and with negative sentiment (IRR = 1.84; 95% CI, 1.23–2.75). Negatively toned posts were more likely to be misinformation (odds ratio [OR] = 9.59; 95% CI, 1.20–76.70) or unverified (OR = 5.03; 95% CI, 1.66–15.24). Conclusions: Misinformation and unverified information during the outbreak showed clustering, with social media being particularly affected. This indepth assessment demonstrates the value of analyzing online “infodemics” to inform public health responses.
Ngoc Minh Luu, Thi Kim Thuy Nguyen, Thu Trang Vu, Thai Son Dinh, Ngoc Hoat Luu, Thi Thanh Toan Do, Van Son Nguyen, Thi Bich Van Ha, Dinh Chuc Nguyen, Thi Huong Tran, Thi Thuy Hang Phung, Xuan Phuong Duong, Quynh Long Khuong, Thi Thu Trang Nguyen, Yu Mon Saw, Thi Ngoc Anh Hoang, Thi Nh
Nagoya Journal of Medical Science
Evaluation of liver fibrosis is necessary to make the therapeutic decision and assess the prognosis of CHB patients. The current study aimed to describe the progression and identify some influencing factors in patients with chronic hepatitis B at a Genera
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