Publications by authors named "Debika Dangol"

Introduction: Coronavirus Disease 2019 is a primarily respiratory illness that can cause thrombotic disorders. Elevation of D-dimer is a potential biomarker for poor prognosis in COVID-19, though optimal cutoff value for D-dimer to predict mortality has not yet been established. This study aims to assess the accuracy of admission D-dimer in the prognosis of COVID-19 and to establish the optimal cutoff D-dimer value to predict hospital mortality.

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Background: Premenstrual syndrome is group of psychosomatic symptoms which occurs during second half of menstrual cycle. Significant number of reproductive aged females suffer from it with its impact on their daily activities. This study was conducted to assess the prevalence, severity and impacts of Premenstrual syndrome on female students of a teaching hospital of Kathmandu, Nepal.

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Synopsis of recent research by authors named "Debika Dangol"

  • - Debika Dangol's research primarily focuses on the health impacts and prognostic indicators of various diseases, notably COVID-19 and premenstrual syndrome, highlighting the significance of biomarkers and psychosomatic symptoms in patient care.
  • - In her 2021 study, she evaluated D-dimer levels as a potential prognostic biomarker for COVID-19 severity, aiming to establish a clear cutoff value for predicting mortality in hospitalized patients.
  • - Her earlier research in 2019 investigated the prevalence and effects of premenstrual syndrome among female students, emphasizing its psychosomatic symptoms and the impact on daily functioning, particularly within the context of a teaching hospital in Nepal.