Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mahsa Sadeghi-Aliabadi"'
Autor:
Farhad Heydari, Saeed Abbasi, Kiana Shirani, Majid Zamani, Babak Masoumi, Saeed Majidinejad, Mahsa Sadeghi-Aliabadi, Mohammadreza Arbab
Publikováno v:
Tzu-Chi Medical Journal, Vol 35, Iss 2, Pp 182-187 (2023)
Objectives: It is critical to quickly and easily identify coronavirus disease 2019 (COVID-19) patients who become severely or even critically ill. Thus, this study was conducted to determine the accuracy of the quick Sequential Organ Failure Assessme
Externí odkaz:
https://doaj.org/article/da72732be32c48629b60fce5a92deaff
Autor:
Farhad Heydari, Majid Zamani, Babak Masoumi, Saeed Majidinejad, Mohammad Nasr-Esfahani, Saeed Abbasi, Kiana Shirani, Donya Sheibani Tehrani, Mahsa Sadeghi-aliabadi, Mohammadreza Arbab
Publikováno v:
Archives of Academic Emergency Medicine, Vol 10, Iss 1 (2022)
Introduction: It is critical to quickly and easily identify severe coronavirus disease 2019 (COVID-19) patients and predict their mortality. This study aimed to determine the accuracy of the physiologic scoring systems in predicting the mortality of
Externí odkaz:
https://doaj.org/article/75c1d8939b0e45c7ae36f4d1d6b87b39
Autor:
Majid Zamani, Farhad Heydari, Saeed Abbasi, Kiana Shirani, Babak Masoumi, Saeed Majidinejad, Mahsa Sadeghi-Aliabadi, Mohammadreza Arbab
Publikováno v:
Tzu Chi Medical Journal. 35:182
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd1d95282b27a4f033dffa1c33636cf2
https://doi.org/10.4103/tcmj.tcmj_132_22
https://doi.org/10.4103/tcmj.tcmj_132_22