Evidence map›Paper›PMID 39313793›Full record

ArticleBMC health services research2024

Assessing the impact of Delta and Omicron in German intensive care units: a retrospective, nationwide multistate analysis.

Matthäus Lottes, Marlon Grodd, Linus Grabenhenrich, Martin Wolkewitz

Abstract read
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Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Matthäus LottesDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Seestraße 10, 13353, Berlin, Germany. lottesm@rki.de.
Marlon GroddInstitute of Medical Biometry and Statistics, Medical Center-University of Freiburg, Stefan-Meier-Straße 26, 79104, Freiburg, Germany.
Linus GrabenhenrichDepartment of Method Development, Research Infrastructure and Information Technology, Robert Koch Institute, Nordufer 20, 13353, Berlin, Germany.
Martin WolkewitzInstitute of Medical Biometry and Statistics, Medical Center-University of Freiburg, Stefan-Meier-Straße 26, 79104, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe spread of several severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) variants of concern (VOCs) has repeatedly led to increasing numbers of coronavirus disease 2019 (COVID-19) patients in German intensive care units (ICUs), resulting in capacity shortages and even transfers of COVID-19 intensive care patients between federal states in late 2021. In this respect, there is scarce evidence on the impact of predominant VOCs in German ICUs at the population level.

methodsA retrospective cohort study was conducted from July 01, 2021, to May 31, 2022, using daily nationwide inpatient billing data from German hospitals on COVID-19 intensive care patients and SARS-CoV-2 sequence data from Germany. A multivariable Poisson regression analysis was performed to estimate the incidence rate ratios (IRRs) of transfer (to another hospital during inpatient care), discharge (alive) and death of COVID-19 intensive care patients associated with Delta or Omicron, adjusted for age group and sex. In addition, a multistate approach was used for the clinical trajectories of COVID-19 intensive care patients to estimate their competing risk of transfer, discharge or death associated with Delta or Omicron, specifically concerning patient age.

resultsA total of 6046 transfers, 33256 discharges, and 12114 deaths were included. Poisson regression analysis comparing Omicron versus Delta yielded an estimated adjusted IRR of 1.23 (95% CI 1.16-1.30) for transfers, 2.27 (95% CI 2.20-2.34) for discharges and 0.98 (95% CI 0.94-1.02) for deaths. For ICU deaths in particular, the estimated adjusted IRR increased from 0.14 (95% CI 0.08-0.22) for the 0-9 age group to 4.09 (95% CI 3.74-4.47) for those aged 90 and older compared to the reference group of 60-69-year-olds. Multistate analysis revealed that Omicron was associated with a higher estimated risk of discharge for COVID-19 intensive care patients across all ages, while Delta infection was associated with a higher estimated risk of transfer and death.

conclusionsRetrospective, nationwide comparisons of transfers, discharges and deaths of COVID-19 intensive care patients during Delta- and Omicron-dominated periods in Germany suggested overall less severe clinical trajectories associated with Omicron. Age was confirmed to be an important determinant of fatal clinical outcomes in COVID-19 intensive care patients, necessitating close therapeutic care for elderly people and appropriate public health control measures.

Indexed as

COVID-19Intensive Care UnitsSARS-CoV-2AdultAgedAged, 80 and overFemaleGermanyHumansMaleMiddle AgedPatient TransferRetrospective StudiesCompeting riskCOVID-19Intensive care unitMultistate modelVariant of concern

Identifiers

PMID39313793
PMCPMC11421169

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.