Publications by authors named "Ok Soon Jeong"

Background And Aims: Recent studies indicate that proactive therapeutic drug monitoring (TDM) can improve clinical outcomes in patients with inflammatory bowel disease (IBD) treated with infliximab. Repetitive infliximab trough level (IFX TL) measurements for proactive TDM may increase patient inconvenience and medical costs. Therefore, we aimed to determine the optimal interval for TDM during infliximab maintenance therapy in patients with IBD.

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Background/aims: Median arcuate ligament syndrome (MALS) is known as chronic recurrent abdominal pain related to compression of the celiac artery by the median arcuate ligament. We aim to seek the specific mechanism of the pain by evaluating symptoms and radiological characteristics on abdominal CT scans.

Methods: We analyzed 35 patients who visited the emergency room for recurrent abdominal pain after cholecystectomy.

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Background: Pulse transit time and pulse wave velocity (PWV) are related to blood pressure (BP), and there were continuous attempts to use these to predict BP through wearable devices. However, previous studies were conducted on a small scale and could not confirm the relative importance of each variable in predicting BP.

Objective: This study aims to predict systolic blood pressure and diastolic blood pressure based on PWV and to evaluate the relative importance of each clinical variable used in BP prediction models.

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Background: The aim of this study was to investigate the relationship between changes in breast density during menopause and breast cancer risk.

Methods: This study was a retrospective, longitudinal cohort study for women over 30 years of age who had undergone breast mammography serially at baseline and postmenopause during regular health checkups at Samsung Medical Center. None of the participants had been diagnosed with breast cancer at baseline.

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Article Synopsis
  • * Researchers analyzed over 86,000 patient visits from 2016 to 2017, training various machine learning classifiers to assess patient outcomes like ICU admissions or emergency room deaths.
  • * The new triage system outperformed traditional models (KTAS and SOFA), showing a higher accuracy in predicting outcomes, with notable area under the curve (AUC) values, especially for the initial nursing assessment.
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