Publications by authors named "C Ha"

Introduction: Takotsubo Cardiomyopathy (TCM) is a rare but well recognized complication of subarachnoid hemorrhage associated with increased morbidity and poor clinical outcomes. There is a scarcity of literature describing the prevalence and risk factors associated with this complication. The aim of this study was to identify patients who are at risk of developing TCM in non-traumatic subarachnoid hemorrhage.

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This study aims to explore variables associated with teacher burnout at the end of the 2021-2022 school year and shed light on teachers' mental health issues related to psychological factors. We collected survey data from 824 United States teachers. Using a moderated mediation analytic model, the results of this study showed that teachers' autonomy had considerable interaction effects on job satisfaction and burnout with other variables in this study (i.

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Introduction: This study aims to analyze the characteristics of hip region stress fractures (HSFs) within a South Korean military cohort and identify the associated risk factors to provide insights for treatment and prevention strategies. Additionally, we will report the epidemiologic data and clinical outcomes of treating HSF within the second largest military hospital.

Materials And Methods: Between January 2022 and December 2023, this retrospective case series revised all HSF patients' medical records to analyze demographic and epidemiologic data and clinical progress.

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Background: This study addresses the intricate landscape of racial disparities in healthcare delivery, with a specific focus on surgical procedures. The concern was accentuated by the challenges posed during the COVID-19 pandemic when resources became scarce. Recognizing the potential impact of provider bias in medical decision-making, the American College of Surgeons introduced the Medically Necessary and Time-Sensitive (MeNTS) scoring system.

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Uterine corpus endometrial carcinoma (UCEC) is one of the most common gynecologic tumors. Due to the high recurrence and metastasis of UCEC, it is crucial for patients to find new biomarkers for diagnosis and therapy. In this study, R software and the TCGA database were used to screen candidate UCEC predictive markers.

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