Journal of Korean medical science
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J. Korean Med. Sci. · Mar 2023
Vaccine Effectiveness Against Severe Disease and Death for Patients With COVID-19 During the Delta-Dominant and Omicron-Emerging Periods: A K-COVE Study.
National cohort data collected during the coronavirus disease 2019 (COVID-19) delta and omicron periods in Korea revealed a lower risk of severe infection in recipients of three doses of the COVID-19 vaccine (adjusted odds ratio [aOR], 0.05-0.08). The risk of death was reduced during the omicron period compared to the delta period (aOR, 0.75; 95% confidence interval, 0.67-0.84).
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J. Korean Med. Sci. · Mar 2023
Relationship Between Coronavirus Disease 2019 Vaccination Rates and Rare But Potentially Fatal Adverse Events: A Regression Discontinuity Analysis of Western Countries.
Owing to limited experience with the new vaccine platforms, discussion of vaccine safety is inevitable. However, media coverage of adverse events of special interest could influence the vaccination rate; thus, evaluating the outcomes of adverse events of special interest influencing vaccine administration is crucial. ⋯ Although monitoring and reporting of adverse events of special interest are important, a careful approach towards public announcements is warranted.
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J. Korean Med. Sci. · Mar 2023
Neurological and Psychiatric Manifestations of Post-COVID-19 Conditions.
We aimed to investigate the factors associated with neurological manifestations of post-coronavirus disease 2019 (COVID-19) conditions. ⋯ This study suggests that there is a relationship between neurological symptoms and other clinical factors, such as fatigue, depression, anxiety, hyposmia, and hypogeusia.
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J. Korean Med. Sci. · Mar 2023
Identifying Disease of Interest With Deep Learning Using Diagnosis Code.
Autoencoder (AE) is one of the deep learning techniques that uses an artificial neural network to reconstruct its input data in the output layer. We constructed a novel supervised AE model and tested its performance in the prediction of a co-existence of the disease of interest only using diagnostic codes. ⋯ A novel EEsAE model showed promising performance in the prediction of a disease of interest.
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J. Korean Med. Sci. · Mar 2023
Retinal Thickness and Its Interocular Asymmetry Between Parkinson's Disease and Drug-Induced Parkinsonism.
Drug-induced parkinsonism (DIP) is common, but diagnosis is challenging. Although dopamine transporter imaging is useful, the cost and inconvenience are problematic, and an easily accessible screening technique is needed. We aimed to determine whether optical coherence tomography (OCT) findings could differentiate DIP from Parkinson's disease (PD). ⋯ Our study showed no benefit of retinal thickness and interocular asymmetry measurements using OCT for distinguishing PD from DIP in the early stages. Additional investigations are needed for confirmation.