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Angky Saputra
RS ADI HUSADA UNDAAN WETAN

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HEMATOLOGIC PARAMETERS AS PREDICTOR OF COVID-19 SEVERITY Angky Saputra; Vincentius Diamantino Supit; Margaret Gabriele Helena; Margareth Ayuni Trinatha Alfares; Vicky Sanrio Angky
JURNAL WIDYA MEDIKA Vol. 7 No. 2 (2021): October
Publisher : FAKULTAS KEDOKTERAN UNIVERSITAS KATOLIK WIDYA MANDALA SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33508/jwm.v7i2.3335

Abstract

Introduction: To this day, COVID-19 still cause high mortality and morbidity in most cases. The severity of COVID-19 can be detected by simple tests such as complete blood counts which available in most health facilities. Through early detection of the estimated severity of COVID-19, we may determine which patients need hospitalization or patients sufficient with self-isolation. Methods: We conduct an analytical, cross-sectional, retrospective study that analyzed the hematological parameters of 97 patients with positive rRT-PCR swabs in the period of March to August 2020. Hematologic parameters of COVID 19 patients with mild and moderate-severe symptoms were compared. The receiver operating characteristic (ROC) curve, area under the curve (AUC), and Youden's index were created to determine the optimal cut-off value in predicting the degree of severity of COVID-19 patients. Results: Statistically significant differences (p