Period of hospitalization and mortality in transferred versus non-transferred COVID-19 patients: results from Germany

Author:

Suski Pascal,Jörres Rudolf A.,Engelhardt Sebastian,Kahnert Kathrin,Lenherr Katharina,Bauer Andreas,Budweiser Stephan

Abstract

AbstractCOVID-19 was a challenge for health-care systems worldwide, causing large numbers of hospitalizations and inter-hospital transfers. We studied whether transfer, as well as its reason, was associated with the duration of hospitalization in non-ICU and ICU patients. For this purpose, all patients hospitalized due to COVID-19 between August 1st and December 31st, 2021, in a network of hospitals in Southern Germany were comprehensively characterized regarding their clinical course, therapy, complications, transfers, reasons for transfer, involved levels of care, total period of hospitalization and in-hospital mortality, using univariate and multiple regression analyses. While mortality was not significantly associated with transfer, the period of hospitalization was. In non-ICU patients (n = 545), median (quartiles) time was 7.0 (4.0–11.0) in non-transferred (n = 458) and 18.0 (11.0–29.0) days in transferred (n = 87) patients (p < 0.001). In ICU patients (n = 100 transferred, n = 115 non-transferred) it was 12.0 (8.3–18.0) and 22.0 (15.0–34.0) days (p < 0.001). Beyond ECMO therapy (4.5%), reasons for transfer were medical (33.2%) or capacity (61.9%) reasons, with medical/capacity reasons in 32/49 of non-ICU and 21/74 of ICU patients. Thus, the transfer of COVID-19 patients between hospitals was associated with longer periods of hospitalization, corresponding to greater health care utilization, for which specific patient characteristics and clinical decisions played a role.

Funder

Universitätsklinikum Regensburg

Publisher

Springer Science and Business Media LLC

Reference23 articles.

1. DIVI Intensivregister. Accessed June 18, 2023. https://www.intensivregister.de/#/aktuelle-lage/zeitreihen

2. Epidemiologisches Bulletin 24/2023. . Juni. Published online 2023.

3. Römmele, C. et al. Bettenkapazitätssteuerung in Zeiten der COVID-19-Pandemie. Anaesthesist. 69(10), 717–725. https://doi.org/10.1007/s00101-020-00830-6 (2020).

4. Communications E. intensiv. Accessed June 22, 2023. https://eref.thieme.de/ejournals/1439-3840_2020_03#/10.1055-a-1151-1089

5. Usher, M. G. et al. Responding to COVID-19 through interhospital resource coordination: A mixed-methods evaluation. J. Patient Saf. 18(4), 287–294. https://doi.org/10.1097/PTS.0000000000000916 (2022).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3