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All Journal Respiratory Science The Avicenna Medical Journal
Putra, Muhammad Ryan Adi
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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Treatment Outcome of Remdesivir Compared to Favipiravir on Moderate Symptoms COVID-19 Arifin, Arief Riadi; Yunus, Faisal; Patrama, Satria; Putra, Muhammad Ryan Adi; Roxanne, Olivia Geraldine
The Avicenna Medical Journal Vol. 4 No. 1 (2023): The Avicenna Medical Journal
Publisher : Faculty of Medicine, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/avicenna.v4i1.31132

Abstract

Remdesivir and Favipiravir have been widely used as antiviral agents in treating COVID-19. However, studies providing head on comparison of treatment outcomes between the two antiviruses are rare. The aim of this study is to compare the treatment outcome of Remdesivir and Favipiravir in moderate symptoms COVID-19. Subjects were divided into two groups based on received antivirus during COVID-19 treatment in the hospital, Remdesivir group and Favipiravir group. Post-treatment outcome was measured with three indicators: symptom improvement, negative conversion of RT-PCR, and radiological improvement. Outcomes of both groups were compared with chi square test with Remdesivir serves as a risk factor and Favipiravir as control. Out of a total of 130 subjects, 65 received Remdesivir, and 65 received Favipiravir. Post-treatment RT-PCR and radiologic examination were performed on a median of Day-10 hospitalization. RT-PCR conversion to negative was significantly more likely in Remdesivir group (RR: 1,917, 95% Cl 1,044 – 3,518, p = 0.047, chi square test). There was no significant difference between Remdesivir group and Favipiravir group in symptom improvement on Day-5 (RR 0.941, 95% Cl 0.776 – 1,141), nor Day-7 (RR 1.020, 95% Cl 0.855 – 1.216). There was also no significant difference in radiological improvement (RR 0.855, 95% Cl 0.712 – 1.026). Administering remdesivir to COVID-19 patients significantly increased the occurrence of negative RT-PCR conversion after therapy compared to standard favipiravir therapy.
Dry Pleuroscopy as a Diagnostic Tool for Lung Cancer with Minimal Pleural Effusion Putra, Muhammad Ryan Adi; Aniwidyaningsih, Wahju; Martini, Ni Putu Laksmi Ananda
Respiratory Science Vol. 6 No. 1 (2025): Respiratory Science
Publisher : Indonesian Society of Respirology (ISR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36497/respirsci.v6i1.178

Abstract

Dry pleuroscopy is a minimally invasive procedure used to evaluate and manage pleural conditions, particularly in cases of minimal pleural effusion (mini-PE) or dry pleural dissemination (DPD). This procedure involves the induction of artificial pneumothorax to create a workspace, allowing for direct access to the pleura without relying on a significant pleural effusion, unlike wet pleuroscopy. The key advantages of dry pleuroscopy include the elimination of the need for general anesthesia, mechanical ventilation, or specialized operating rooms, thereby reducing the risk of complications and associated costs. With a sensitivity of 94.4% and a specificity of 92.8%, dry pleuroscopy is highly effective for diagnosing lung cancer and pleural metastases in cases of minimal effusion. It also aids in lung cancer staging, minimizing the need for invasive procedures like lobectomy in complex cases. Artificial pneumothorax is a key step in dry pleuroscopy. It can be achieved through blunt dissection, optical trocars, or specialized tools such as the Boutin needle or Veress cannula. Ultrasound (USG) guidance further enhances procedural accuracy and safety by reducing complications. Dry pleuroscopy provides a safe, effective, and cost-efficient diagnostic and therapeutic solution, making it preferable to methods such as video-assisted thoracoscopic surgery (VATS), especially in patients unfit for invasive procedures.
Co-Authors Aniwidyaningsih, Wahju Arifin, Arief Riadi Faisal Yunus Martini, Ni Putu Laksmi Ananda Patrama, Satria Roxanne, Olivia Geraldine