Gambaran Radiografi Toraks Sebagai Prediktor Outcome Pasien COVID-19
<div class="WordSection1"><div class="WordSection1"><p>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. <strong>Ob...
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Faculty of Medicine at Universitas Andalas
2024-09-01
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| Series: | Jurnal Kesehatan Andalas |
| Online Access: | http://jurnal.fk.unand.ac.id/index.php/jka/article/view/2278 |
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| author | Bekti Safarini Dria Anggraeny Sutikno Dewi Intisari |
| author_facet | Bekti Safarini Dria Anggraeny Sutikno Dewi Intisari |
| author_sort | Bekti Safarini |
| collection | DOAJ |
| description | <div class="WordSection1"><div class="WordSection1"><p>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. <strong>Objective</strong>: 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. <strong>Methods</strong>: 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. <strong>Results</strong>: 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.<strong> Conclusion</strong>: Increased levels of leukocytes, D-dimer, NLR, and Brixia Score can be used as a predictor of patient mortality after hospitalization.</p><p><strong>Keywords</strong>: Brixia score, COVID-19, thoracic radiograph</p></div><p><br clear="all" /><br /></p></div> |
| format | Article |
| id | doaj-art-603972b18025429e8e9d9147c36b4886 |
| institution | Kabale University |
| issn | 2301-7406 2615-1138 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Faculty of Medicine at Universitas Andalas |
| record_format | Article |
| series | Jurnal Kesehatan Andalas |
| spelling | doaj-art-603972b18025429e8e9d9147c36b48862025-02-03T00:23:21ZengFaculty of Medicine at Universitas AndalasJurnal Kesehatan Andalas2301-74062615-11382024-09-01131374310.25077/jka.v13i1.22781261Gambaran Radiografi Toraks Sebagai Prediktor Outcome Pasien COVID-19Bekti Safarini0Dria Anggraeny Sutikno1Dewi Intisari2Fakultas Kedokteran, Universitas Islam Sultan Agung, SemarangFakultas Kedokteran, Universitas Islam Sultan Agung, SemarangFakultas Kedokteran, Universitas Islam Sultan Agung, Semarang<div class="WordSection1"><div class="WordSection1"><p>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. <strong>Objective</strong>: 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. <strong>Methods</strong>: 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. <strong>Results</strong>: 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.<strong> Conclusion</strong>: Increased levels of leukocytes, D-dimer, NLR, and Brixia Score can be used as a predictor of patient mortality after hospitalization.</p><p><strong>Keywords</strong>: Brixia score, COVID-19, thoracic radiograph</p></div><p><br clear="all" /><br /></p></div>http://jurnal.fk.unand.ac.id/index.php/jka/article/view/2278 |
| spellingShingle | Bekti Safarini Dria Anggraeny Sutikno Dewi Intisari Gambaran Radiografi Toraks Sebagai Prediktor Outcome Pasien COVID-19 Jurnal Kesehatan Andalas |
| title | Gambaran Radiografi Toraks Sebagai Prediktor Outcome Pasien COVID-19 |
| title_full | Gambaran Radiografi Toraks Sebagai Prediktor Outcome Pasien COVID-19 |
| title_fullStr | Gambaran Radiografi Toraks Sebagai Prediktor Outcome Pasien COVID-19 |
| title_full_unstemmed | Gambaran Radiografi Toraks Sebagai Prediktor Outcome Pasien COVID-19 |
| title_short | Gambaran Radiografi Toraks Sebagai Prediktor Outcome Pasien COVID-19 |
| title_sort | gambaran radiografi toraks sebagai prediktor outcome pasien covid 19 |
| url | http://jurnal.fk.unand.ac.id/index.php/jka/article/view/2278 |
| work_keys_str_mv | AT bektisafarini gambaranradiografitorakssebagaiprediktoroutcomepasiencovid19 AT driaanggraenysutikno gambaranradiografitorakssebagaiprediktoroutcomepasiencovid19 AT dewiintisari gambaranradiografitorakssebagaiprediktoroutcomepasiencovid19 |