Concurrent analysis of hospital stay durations and mortality of emerging severe acute respiratory coronavirus virus 2 (SARS-CoV-2) variants using real-time electronic health record data at a large German university hospital

Derek Y Hazard; Marlon Grodd; Adeline Makoudjou; Sara Lozano; Andrea Prunotto; Patric Tippmann; Daniela Zöller; Philipp Mathé; Siegbert Rieg; Martin Wolkewitz

doi:10.1017/ash.2023.153

Concurrent analysis of hospital stay durations and mortality of emerging severe acute respiratory coronavirus virus 2 (SARS-CoV-2) variants using real-time electronic health record data at a large German university hospital

Antimicrob Steward Healthc Epidemiol. 2023 May 4;3(1):e88. doi: 10.1017/ash.2023.153. eCollection 2023.

Affiliations

¹ Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
² Division of Infectious Diseases, Department of Medicine II, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.

Abstract

Multistate methodology proves effective in analyzing hospitalized coronavirus disease 2019 (COVID-19) patients with emerging variants in real time. An analysis of 2,548 admissions in Freiburg, Germany, showed reduced severity over time in terms of shorter hospital stays and higher discharge rates when comparing more recent phases with earlier phases of the pandemic.