Radiologic severity index can be used to predict mortality risk in patients with COVID-19
Radiologic severity index, which is calculated using a semi-quantitative CT scoring system, can be used to predict the mortality of COVID-19 patients at the time of their initial hospitalization.
Authors
- Mehmet Tahtabaşı (ORCID: https://orcid.org/0000-0001-9668-8062)
- Tuğba Eldeş (ORCID: https://orcid.org/0000-0001-8431-9534)
- Şükran Güler (ORCID: https://orcid.org/0000-0001-8770-8092)
- Fatih Esmer (ORCID: https://orcid.org/0000-0002-8512-5894)
- Bilge Kara (ORCID: https://orcid.org/0000-0003-2690-4932)
- Merhamet Ölçen (ORCID: https://orcid.org/0000-0003-2969-8927)
- Tuncay Şahutoğlu (ORCID: https://orcid.org/0000-0003-2015-4421)
- Ekrem Kara (ORCID: https://orcid.org/0000-0003-0881-7851)
- Elif Sahutoglu (ORCID: https://orcid.org/0000-0002-8521-3544)
- Kadri Atay (ORCID: https://orcid.org/0000-0002-7570-3638)
- Barış Çil (ORCID: https://orcid.org/0000-0003-1090-0697)
- Ahmet Peker (ORCID: https://orcid.org/0000-0002-4913-6860)
- Ahmet Şahin (ORCID: https://orcid.org/0000-0002-8377-8293)
- M. Kabak (ORCID: https://orcid.org/0000-0003-4781-1751)
Institutions
- Recep Tayyip Erdoğan University (TR)
- Mardin Artuklu University (TR)
- Education Training And Research (US)
- Şanlıurfa Mehmet Akif İnan Eğitim ve Araştırma Hastanesi (TR)
- Sağlık Bilimleri Üniversitesi (TR)
Publication Details
- Journal
- Tuberkuloz ve Toraks
- Published
- 2024-12-23
- DOI
- https://doi.org/10.5578/tt.202404994
- Citations
- 1
- Primary Topic
- COVID-19 and healthcare impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.28