J Formos Med Assoc
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Multicenter Study
Neurological manifestations of SARS-CoV-2 infection in children in Taiwan: A cross-section, multicenter study.
The SARS-CoV-2 virus has been a global public health threat since December 2019. This study aims to investigate the neurological characteristics and risk factors of coronavirus disease 2019 (COVID-19) in Taiwanese children, using data from a collaborative registry. ⋯ Neurological complications are common in pediatric COVID-19. Visual hallucination, seizure, behavior change, myoclonic jerk, decreased GCS, and hypoglycemia at admission are the most important warning signs of severe neurological involvement such as encephalitis/ADEM.
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The burden of nonalcoholic fatty liver disease (NAFLD) is growing in patients with chronic hepatitis B (CHB). NAFLD is typically associated with obesity, however, it is increasingly being identified in non-obese patients. This study aimed to investigate disease severity and antiviral response in non-obese patients with CHB with NAFLD (CHB + NAFLD). ⋯ Approximately one third of CHB + NAFLD patients were non-obese. Non-obese patients, while less metabolically abnormal, had a similar risk for fibrosis progression as obese patients. Obesity status did not impact the efficiency of antiviral therapy.
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Health-related quality of life (HRQoL) is an essential outcome parameter in geriatric research; however, the available evidence is mixed regarding the factors associated with HRQoL among people with dementia. We aimed to identify factors that contribute to HRQoL among people with dementia in residential long-term care (LTC) institutions. ⋯ ADL, dementia severity, cognitive function, and depressive symptoms influenced the HRQoL of people with dementia in residential LTC institutions. Longitudinal studies should be conducted to better understand how HRQoL changes over time among people with disabilities.
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Predictive modeling aids in identifying patients at high risk of adverse events. Using routinely collected data, we report a competing risk prediction model for kidney failure. ⋯ Using real-world data, our competing risk model can accurately predict progression to kidney failure over 2 years in patients with advanced CKD.