Your browser doesn't support javascript.
Inter-observer reliability for different point-of-care lung ultrasound findings in mechanically ventilated critically ill COVID-19 patients.
Sustic, Alan; Mirosevic, Marko; Szuldrzynski, Konstanty; Marcun, Robert; Haznadar, Mehmed; Podbegar, Matej; Protic, Alen.
  • Sustic A; Department of Clinical Medical Science II, Faculty of Health Studies, University of Rijeka, Rijeka, Croatia. alan.sustic@uniri.hr.
  • Mirosevic M; Department of Anesthesiology, Reanimatology, Intensive Care and Emergency Medicine, Faculty of Medicine, University of Rijeka, Br. Branchetta 20, 51 000, Rijeka, Croatia. alan.sustic@uniri.hr.
  • Szuldrzynski K; Department of Anesthesiology, Reanimatology, Intensive Care and Emergency Medicine, Faculty of Medicine, University of Rijeka, Br. Branchetta 20, 51 000, Rijeka, Croatia.
  • Marcun R; Department of Anaesthesiology and Intensive Care, Central Clinical Hospital of the Ministry of Interior and Administration, Warsaw, Poland.
  • Haznadar M; Department of Anesthesiology, Reanimatology, Intensive Care and Emergency Medicine, Faculty of Medicine, University of Rijeka, Br. Branchetta 20, 51 000, Rijeka, Croatia.
  • Podbegar M; University Clinic of Respiratory and Allergic Diseases Golnik, Golnik, Slovenia.
  • Protic A; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
J Clin Monit Comput ; 36(1): 279-281, 2022 02.
Article in English | MEDLINE | ID: covidwho-1245693

Full text: Available Collection: International databases Database: MEDLINE Main subject: Critical Illness / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: J Clin Monit Comput Journal subject: Medical Informatics / Medicine Year: 2022 Document Type: Article Affiliation country: S10877-021-00726-9

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Critical Illness / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: J Clin Monit Comput Journal subject: Medical Informatics / Medicine Year: 2022 Document Type: Article Affiliation country: S10877-021-00726-9