Evidence map›Paper›PMID 33909104›Full record

ReviewDer Anaesthesist2021

[Managing the pandemic-relocation concept for COVID-19 intensive care patients and non-COVID-19 intensive care patients in Baden-Württemberg].

Ernst G Pfenninger, J Naser, K Träger, U Dennler, B Jungwirth, S Schindler, A Henn-Beilharz, G Geldner, H Bürkle

Abstract readReview
In one paragraph

Review in Der Anaesthesist, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Critical Operations During the SARS-CoV-2 Pandemic.Deutsches Arzteblatt international · 2022
    Article
  9. Article
  10. Article
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

9 authors.

Ernst G PfenningerStabsstelle Katastrophenschutz, Universitätsklinikum Ulm, Albert-Einstein-Allee 29, 89081, Ulm, Deutschland. ernst.pfenninger@uniklinik-ulm.de.
J NaserKlinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, RKH-Klinikum Ludwigsburg, Ludwigsburg, Deutschland.
K TrägerKlinik für Anästhesiologie und Intensivmedizin, Universitätsklinikum Ulm, Ulm, Deutschland.
U DennlerStabsstelle Strategisches Medizincontrolling, Universitätsklinikum Ulm, Ulm, Deutschland.
B JungwirthKlinik für Anästhesiologie und Intensivmedizin, Universitätsklinikum Ulm, Ulm, Deutschland.
S SchindlerMinisterium für Soziales und Integration Baden-Württemberg, Stuttgart, Deutschland.
A Henn-BeilharzLNA-Gruppe Stuttgart, Oberleitstelle Baden-Württemberg, Stuttgart, Deutschland.
G GeldnerKlinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, RKH-Klinikum Ludwigsburg, Ludwigsburg, Deutschland.
H BürkleKlinik für Anästhesiologie und Intensivmedizin, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA sharp rise in COVID-19 infections threatened to lead to a local overload of intensive care units in autumn 2020. To prevent this scenario a nationwide relocation concept was developed.

methodsFor the development of the concept publicly available infection rates of the leading infection authority in Germany were used. Within this concept six medical care regions (clusters) were designed around a center of maximum intensive care (ECMO option) based on the number of intensive care beds per 100,000 inhabitants. The concept describes the management structure including a structural chart, the individual tasks, the organization and the cluster assignment of the clinics. The transfers of intensive care patients within and between the clusters were recorded from 11 December 2020 to 31 January 2021.

resultIn Germany and Baden-Württemberg, 1.5% of patients newly infected with SARS-CoV‑2 required intensive care treatment in mid-December 2020. With a 7-day incidence of 192 new infections in Germany, the hospitalization rate was 10% and 28-35% of the intensive care beds were occupied by COVID-19 patients. Only 16.8% of the intensive care beds were still available, in contrast to 35% in June 2020. The developed relocation concept has been in use in Baden-Württemberg starting from 10 December 2020. From then until 7 February 2021, a median of 24 ± 5/54 intensive care patients were transferred within the individual clusters, in total 154 intensive care patients. Between the clusters, a minimum of 1 and a maximum of 15 (median 12.5) patients were transferred, 21 intensive care patients were transferred to other federal states and 21 intensive care patients were admitted from these states. The total number of intensive care patients transferred was 261.

conclusionIf the number of infections with SARS-CoV‑2 increases, a nationwide relocation concept for COVID-19 intensive care patients and non-COVID-19 intensive care patients should be installed at an early stage in order not to overwhelm the capacities of hospitals. Supply regions around a leading clinic with maximum intensive care options are to be defined with a central management that organizes the necessary relocations in cooperation with regional and superregional rescue service control centers. With this concept and the intensive care transports carried out, it was possible to effectively prevent the overload of individual clinics with COVID-19 patients in Baden-Württemberg. Due to that an almost unchanged number of patients requiring regular intensive care could be treated.

Indexed as

COVID-19PandemicsCritical CareHumansIntensive Care UnitsSARS-CoV-2Distribution conceptIntensive care transportsNumber of infectionsSARS-CoV‑2UCU beds

Identifiers

PMID33909104
PMCPMC8080191

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.