Suppr超能文献

18 所德国大学附属医院在 COVID-19 封锁期间住院人数减少。

Reduced Rate of Inpatient Hospital Admissions in 18 German University Hospitals During the COVID-19 Lockdown.

机构信息

Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Erlangen, Germany.

Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.

出版信息

Front Public Health. 2021 Jan 13;8:594117. doi: 10.3389/fpubh.2020.594117. eCollection 2020.

Abstract

The COVID-19 pandemic has caused strains on health systems worldwide disrupting routine hospital services for all non-COVID patients. Within this retrospective study, we analyzed inpatient hospital admissions across 18 German university hospitals during the 2020 lockdown period compared to 2018. Patients admitted to hospital between January 1 and May 31, 2020 and the corresponding periods in 2018 and 2019 were included in this study. Data derived from electronic health records were collected and analyzed using the data integration center infrastructure implemented in the university hospitals that are part of the four consortia funded by the German Medical Informatics Initiative. Admissions were grouped and counted by ICD 10 chapters and specific reasons for treatment at each site. Pooled aggregated data were centrally analyzed with descriptive statistics to compare absolute and relative differences between time periods of different years. The results illustrate how care process adoptions depended on the COVID-19 epidemiological situation and the criticality of the disease. Overall inpatient hospital admissions decreased by 35% in weeks 1 to 4 and by 30.3% in weeks 5 to 8 after the lockdown announcement compared to 2018. Even hospital admissions for critical care conditions such as malignant cancer treatments were reduced. We also noted a high reduction of emergency admissions such as myocardial infarction (38.7%), whereas the reduction in stroke admissions was smaller (19.6%). In contrast, we observed a considerable reduction in admissions for non-critical clinical situations, such as hysterectomies for benign tumors (78.8%) and hip replacements due to arthrosis (82.4%). In summary, our study shows that the university hospital admission rates in Germany were substantially reduced following the national COVID-19 lockdown. These included critical care or emergency conditions in which deferral is expected to impair clinical outcomes. Future studies are needed to delineate how appropriate medical care of critically ill patients can be maintained during a pandemic.

摘要

新型冠状病毒肺炎大流行给全世界的卫生系统带来了压力,打乱了所有非新冠患者的常规医院服务。在这项回顾性研究中,我们分析了 2020 年封锁期间 18 家德国大学医院的住院患者入院情况,并与 2018 年进行了比较。本研究纳入了 2020 年 1 月 1 日至 5 月 31 日和 2018 年及 2019 年同期住院的患者。从电子健康记录中收集的数据,并使用在德国医学信息学倡议资助的四个联盟之一的大学医院实施的数据集成中心基础设施进行分析。按 ICD-10 章节和各站点的治疗具体原因对入院情况进行分组和计数。对汇总数据进行集中分析,采用描述性统计方法比较不同年份不同时间段的绝对和相对差异。结果表明,治疗方法的选择取决于新冠疫情的流行病学情况和疾病的严重程度。与 2018 年相比,封锁宣布后第 1 周至第 4 周,住院患者总体减少了 35%,第 5 周至第 8 周减少了 30.3%。即使是恶性癌症治疗等重症监护条件的住院治疗也有所减少。我们还注意到,心肌梗死(38.7%)等急症入院的减少幅度较大,而中风入院的减少幅度较小(19.6%)。相比之下,良性肿瘤子宫切除术(78.8%)和关节炎髋关节置换术(82.4%)等非危急临床情况的入院人数则大幅减少。总之,我们的研究表明,德国的大学医院入院率在全国新冠封锁后大幅下降。这包括预计会影响临床结果的重症监护或急症情况。需要进一步研究如何在大流行期间维持危重症患者的适当医疗护理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/114a/7838458/a339d286effd/fpubh-08-594117-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验