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Müge Gülen

Researcher at Health Science University

Publications -  81
Citations -  353

Müge Gülen is an academic researcher from Health Science University. The author has contributed to research in topics: Emergency department & Medicine. The author has an hindex of 10, co-authored 78 publications receiving 259 citations. Previous affiliations of Müge Gülen include Çukurova University.

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Journal ArticleDOI

Uncommon presentation of COVID-19: Gastrointestinal bleeding.

TL;DR: Clinicians should be alerted to patients about COVID-19 when referring to atypical symptoms and every patient undergoing endoscopy should be considered potentially infected or can infect others.
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The relation between oxidative stress parameters, ischemic stroke, and hemorrhagic stroke.

TL;DR: Oxidative stress may play a role in the pathogenesis of both ischemic stroke and hemorrhagic stroke in terms of oxidants and it is not thought that oxidative stress has any effect in determining stroke severity in either type of stroke.
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The relationship between inferior vena cava diameter measured by bedside ultrasonography and central venous pressure value.

TL;DR: In patients with spontaneous respiration, a significant relationship was found between IVC diameters measured by ultrasonography at the end of expiratory and inspiratory phases and measured CVP values at the same phases in mechanically ventilated patients.
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Levofloxacin-induced hepatotoxicity and death.

TL;DR: The case of a 53-year-old female patient with toxic hepatitis due to levofloxacin and multiple organ failure secondary to toxic hepatitis is presented, and the patient died before she could be referred to a transplant center.
Journal Article

Acute-phase reactants and cytokines in ischemic stroke: do they have any relationship with short-term mortality?

TL;DR: Scales such as GKS and NIHHS, which evaluate the functional state of patients, are the best indicators for defining prognosis in daily practices, and a positive correlation between levels of CRP (C reactive protein) and prognosis is found and a statistically significant correlation between stroke volume and hospital stay time is found.