Evidence map›Paper›PMID 34370047›Full record

ArticleMedizinische Klinik, Intensivmedizin und Notfallmedizin2022

[Intensive care bed requirements for COVID-19 in the fall/winter of 2021 : Simulation of different scenarios under consideration of incidences and vaccination rates].

Andreas Schuppert, Steffen Weber-Carstens, Christian Karagiannidis

Open access · hybridAbstract read
In one paragraph

Article in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 61% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Andreas SchuppertInstitute for Computational Biomedicine, Universitätsklinikum Aachen, RWTH Aachen, Pauwelsstraße 19, 52074, Aachen, Deutschland. aschuppert@ukaachen.de.
Steffen Weber-CarstensKlinik für Anästhesiologie und operative Intensivmedizin (CCM, CVK), Charité - Universitätsmedizin Berlin, Berlin, Deutschland.
Christian KaragiannidisARDS- und ECMO-Zentrum Köln-Merheim, Kliniken der Stadt Köln, Universität Witten/Herdecke, Ostmerheimer Str. 200, 51109, Köln, Deutschland. Christian.Karagiannidis@uni-wh.de.
Charité - Universitätsmedizin Berlin · DEKliniken der Stadt Köln · DEUniversitätsklinikum Aachen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the increasing vaccination rates against SARS-CoV‑2, there is a risk of a renewed wave of infections in autumn 2021 due to the high seasonality of the pathogen, with the associated renewed possible heavy burden on intensive care. In the following manuscript we simulated different scenarios using defined mathematical models to estimate the burden of intensive care treatment by COVID-19 patients within certain limits during the coming autumn.

methodsThe simulation of the scenarios uses a stationary model supplemented by the effect of vaccinations. The age group-specific risk profile for intensive care unit (ICU)-associated disease progression is calculated using third wave ICU admission data from sentinel hospitals, local DIVI registry occupancy data and the corresponding local incidence rates by linear regression with time lag. We simulated vaccination rates of 15% for the over 18-year-old cohort, 70% for the 15-34 year cohort, 75%/80%/85% for the 35-59 year cohort and 85%/90%/95% for the over 60-year-old cohort. The simulations take into account that vaccination provides 100% protection against disease progression requiring intensive care. Regarding protection against infection in vaccinated persons the simulations are depicted for the scenario of 70% protection against infection in vaccinated persons and for the scenario of 85% protection against infection in vaccinated persons.

resultsThe incidence is proportional to ICU bed occupancy. The proportionality factor is higher than in the second and third waves, so that comparable ICU bed occupancy is only achieved at a higher incidence. A 10% increase in vaccination rates of the over 35-year-olds to 85% and of the over 60-year-olds to 95% leads to a significant reduction in ICU bed occupancy. DISCUSSION: There will continue to be a close and linear relationship between SARS-CoV‑2 incidence and ICU bed occupancy in the coming months. Even above incidences of 200/100,000 a considerable burden of ICUs with more than 3000 COVID-19 patients can be expected again, unless the vaccination rate is significantly increased. A few percentage points in the vaccination rate have a significant impact on potential ICU occupancy in the autumn, so efforts to increase vaccination acceptance should be a priority in the coming weeks. For intensive care medicine, the vaccination rate of those over 35 years of age is crucial.

Indexed as

COVID-19AdolescentCritical CareDisease ProgressionHumansIncidenceIntensive Care UnitsMiddle AgedSARS-CoV-2VaccinationARDSICUModelSARS-CoV-2Scenario

Identifiers

PMID34370047
PMCPMC8351237
OpenAlexW3188717091

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.