Jurnal Kesehatan Andalas
Vol 13, No 1 (2024): March 2024

Gambaran Radiografi Toraks Sebagai Prediktor Outcome Pasien COVID-19

Safarini, Bekti (Fakultas Kedokteran, Universitas Islam Sultan Agung, Semarang)
Sutikno, Dria Anggraeny (Fakultas Kedokteran, Universitas Islam Sultan Agung, Semarang)
Intisari, Dewi (Fakultas Kedokteran, Universitas Islam Sultan Agung, Semarang)



Article Info

Publish Date
10 Sep 2024

Abstract

COVID-19 (coronavirus disease 2019) is a pulmonary infection disease caused by SARS-CoV-2. Chest radiographic examination of COVID-19 cases performed to make a diagnosis and monitor therapy. Objective: To    evaluated the results of chest radiography examination in COVID-19 cases as a predictor of patient outcome after treatment at the Sultan Agung Islamic Hospital in Semarang. Methods: This research was an observational analytic study with a retrospective design using medical record data from January until December 2021. The results of chest radiographs were analyzed using the Brixia Score system with a maximum score of 18. Outcomes of COVID-19 patients were described as recovered patients or died. Data analysis uses the ROC curve to determine the cut-off point. Results: This study showed that out of 47 patients (43±14 years old), 39 patients (81%) recovered and nine patients died (19%). The levels of leukocytes, D-dimer, Neutrophil-lymphocyte ratio (NLR), and Brixia scores were significantly higher in dead patients (p<0.05). Sensitivity and specificity values predictor of leukocyte count (83%, 61%), D-dimer (83%, 84%), NLR (83%, 82%), and Brixia score (83%, 79%), respectively. Conclusion: Increased levels of leukocytes, D-dimer, NLR, and Brixia Score can be used as a predictor of patient mortality after hospitalization.Keywords: Brixia score, COVID-19, thoracic radiograph

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Journal Info

Abbrev

JKA

Publisher

Subject

Health Professions

Description

Jurnal Kesehatan Andalas merupakan Jurnal yang diterbitkan oleh Fakultas Kedokteran Universitas ...