Publications by authors named "Herikurniawan Herikurniawan"

This cross-sectional survey aims to investigate physician hesitancy in treating COVID-19 patients in Indonesia, particularly among those who have already contracted the disease, along with associated occupational risk factors. The study involved distributing a questionnaire to physicians across the country, using contact information from the Indonesian Physician Association database. The results show that out of the 383 participants, 25.

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Article Synopsis
  • - A study was conducted at CiptoMangunkusumo Hospital to create a diagnostic model for COVID-19, addressing the issue of false-negative results from rapid antigen tests and the need for effective patient isolation.
  • - The model was developed using data from 187 patients, focusing on factors like contact history, fever, dyspnea, white blood cell count, and chest radiographs, with a high accuracy rate indicated by an area under the curve of 0.777.
  • - The findings suggest that the model can help physicians make quicker decisions about isolating patients with COVID-like symptoms, improving management strategies during the pandemic.
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Coronavirus disease 2019 (COVID-19) has been a worldwide pandemic with several problems, one of which is the lack of definitive treatment. COVID-19-associated pulmonary aspergillosis (CAPA), the presence of invasive pulmonary aspergillosis (IPA) in COVID-19 patients, is one of the concerning secondary infections associated with higher mortality and worse clinical outcomes. Diagnosing CAPA may be challenging due to the possible absence of classic host factors and clinical symptoms or obscured radiological findings.

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Background: Convalescent plasma is a potentially beneficial, tolerable, and available additional treatment option for COVID-19. This study aims to evaluate whether the administration of convalescent plasma therapy leads to improved clinical outcomes in COVID-19 patients compared to standard medical therapy.

Methods: We conducted a search of Pubmed, Cochrane, and EBSCO for studies assessing the clinical question using inclusion and exclusion criteria.

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