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

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 wh...

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Autores principales: Hazard, Derek Y., Grodd, Marlon, Makoudjou, Adeline, Lozano, Sara, Prunotto, Andrea, Tippmann, Patric, Zöller, Daniela, Mathé, Philipp, Rieg, Siegbert, Wolkewitz, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Concise Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173280/
https://www.ncbi.nlm.nih.gov/pubmed/37179766
http://dx.doi.org/10.1017/ash.2023.153
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author Hazard, Derek Y.
Grodd, Marlon
Makoudjou, Adeline
Lozano, Sara
Prunotto, Andrea
Tippmann, Patric
Zöller, Daniela
Mathé, Philipp
Rieg, Siegbert
Wolkewitz, Martin
author_facet Hazard, Derek Y.
Grodd, Marlon
Makoudjou, Adeline
Lozano, Sara
Prunotto, Andrea
Tippmann, Patric
Zöller, Daniela
Mathé, Philipp
Rieg, Siegbert
Wolkewitz, Martin
author_sort Hazard, Derek Y.
collection PubMed
description 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.
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spelling pubmed-101732802023-05-12 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 Hazard, Derek Y. Grodd, Marlon Makoudjou, Adeline Lozano, Sara Prunotto, Andrea Tippmann, Patric Zöller, Daniela Mathé, Philipp Rieg, Siegbert Wolkewitz, Martin Antimicrob Steward Healthc Epidemiol Concise Communication 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. Cambridge University Press 2023-05-04 /pmc/articles/PMC10173280/ /pubmed/37179766 http://dx.doi.org/10.1017/ash.2023.153 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Concise Communication
Hazard, Derek Y.
Grodd, Marlon
Makoudjou, Adeline
Lozano, Sara
Prunotto, Andrea
Tippmann, Patric
Zöller, Daniela
Mathé, Philipp
Rieg, Siegbert
Wolkewitz, Martin
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Concise Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173280/
https://www.ncbi.nlm.nih.gov/pubmed/37179766
http://dx.doi.org/10.1017/ash.2023.153
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