Electronic Theses and Dissertation

COVID-19 merupakan salah satu penyebab kematian terbesar di Indonesia. Namun angka kematian akibat COVID-19 menurun akibat adanya program vaksinasi. Vaksinasi dapat menciptakan kekebalan tubuh untuk melindungi dari infeksi COVID-19. Penelitian ini bertujuan untuk mengetahui gambaran profil klinis dan derajat kerusakan parenkim paru pasien COVID-19 di RSUDZA Banda Aceh post vaksinasi. Penelitian ini dilakukan di RSUD dr. Zainoel Abidin Banda Aceh sejak Juni 2022 sampai Desember 2022. Penelitian dilakukan dengan menggunakan data rekam medis dan analisa derajat kerusakan parenkim paru menggunakan aplikasi G-COV. Penelitian ini menggunakan metode retrospektif dan analisis univariat. Hasil penelitian ini menunjukkan terdapat 100 pasien COVID-19 dengan usia terbanyak pada >65 tahun (22%), mayoritas laki-laki (63%), gejala yang paling umum dijumpai adalah batuk (44%), status vaksinasi sampai dosis kedua (59%), dan derajat kerusakan parenkim paru dominan yaitu pada derajat ringan (78%) serta lama waktu rawatan kurang dari 6 hari (63%). Pasien COVID-19 yang sudah mendapatkan vaksinasi umumnya memiliki gejala klinis ringan dengan derajat kerusakan parenkim paru ringan. G-COV sebagai aplikasi yang menjadi instrumen pada penelitian ini sangat membantu dalam mendeteksi infeksi COVID-19 dan menilai derajat kerusakan parenkim paru melalui foto toraks pasien. Hal ini dapat membantu tenaga kesehatan dalam mendeteksi COVID-19 secara dini.

Kata kunci: COVID-19, vaksinasi, kecerdasan buatan, foto toraks

COVID-19 is a major cause of mortality in Indonesia. Nevertheless, the vaccination program has led to a decline in the COVID-19 mortality rate, and vaccination can strengthen the body's immunity and protect against COVID-19 infection. This study aims to assess the clinical profile and degree of lung parenchymal damage in post-vaccination COVID-19 patients. The study was conducted at RSUD dr. Zainoel Abidin Banda Aceh between June and December 2022. The study was performed by using medical record data and analyzing the degree of lung parenchyma damage on the G-COV application. The study utilized a retrospective approach and employed univariate analysis. The study revealed that 100 COVID-19 patients were evaluated, with the highest age group being >65 years (22%) and the majority of patients being male (63%). Cough was the most frequently reported symptom (44%). Additionally, 59% had received up to the second dose of vaccination. The lung parenchyma was primarily damaged at a mild degree (78%), and treatment duration was less than 6 days for the majority of patients (63%). COVID-19 patients who have been vaccinated typically show mild clinical symptoms with mild degree of lung parenchymal damage. The G-COV application as an instrument in this study proves to be a valuable tool for detecting COVID-19 infections and assessing the degree of lung parenchyma damage through thoracic photos. Its use aids health workers in early COVID-19 detection. Keywords: COVID-19, vaccination, artificial intelligence, chest x-ray