| Literature DB >> 36074153 |
Alexander Supady1,2,3, Guido Michels4, Philipp M Lepper5, Markus Ferrari6, Jens Wippermann7, Anton Sabashnikov8, Holger Thiele9, Marcus Hennersdorf10, Tobias Lahmer11, Udo Boeken12, Jan Gummert13, Eike Tigges14, Ralf M Muellenbach15, Tobias Spangenberg16, Tobias Wengenmayer17,18, Dawid L Staudacher17,18.
Abstract
BACKGROUND: At the onset of the coronavirus pandemic, concerns were raised about sufficiency of available intensive care resources. In many places, routine interventions were postponed and criteria for the allocation of scarce resources were formulated. In Germany, some hospitals were at times seriously burdened during the course of the pandemic. Intensive care units in particular experienced a shortage of resources, which may have led to a restriction of services and a stricter indication setting for resource-intensive measures such as extracorporeal membrane oxygenation (ECMO). The aim of this work is to provide an overview of how these pressures were managed at large ECMO centers in Germany.Entities:
Keywords: COVID-19; Extracorporeal membrane oxygenation; Indication; Online survey; Prioritization; Resource limitations
Year: 2022 PMID: 36074153 PMCID: PMC9453733 DOI: 10.1007/s00063-022-00951-3
Source DB: PubMed Journal: Med Klin Intensivmed Notfmed ISSN: 2193-6218 Impact factor: 1.552
| Zentrena | |
|---|---|
| ≥ 500 | 22 (95,7) |
| < 500 | 1 (4,3) |
| 1–30 | 9 (39,1) |
| ≥ 31 | 14 (60,9) |
| 1–30 | 8 (34,8) |
| ≥ 31 | 15 (65,2) |
| 1–30 | 19 (82,6) |
| ≥ 31 | 4 (17,4) |
| Ja | 9 (39,1) |
| Nein | 14 (60,9) |
| Ja | 15 (65,2) |
| Nein | 8 (34,8) |
aDie Zahlen beschreiben die absolute Zahl an Zentren, für die der genannte Parameter zutrifft, sowie den relativen Anteil (%) in Bezug zur Gesamtkohorte (n = 23)
| Zentrena | |
|---|---|
| Ja | 23 (100) |
| Nein | 0 (0) |
| Ja | 10 (43,5) |
| Nein | 13 (56,5) |
| Ja | 10 (43,5) |
| Nein | 13 (56,5) |
| Ja | 19 (82,6) |
| Nein | 4 (17,4) |
| Ja | 11 (47,8) |
| Nein | 12 (52,2) |
| Ja | 21 (91,3) |
| Nein | 2 (8,7) |
| Ja | 5 (23,8) |
| Nein | 18 (76,2) |
| Ja | 7 (30,4) |
| Nein | 16 (69,6) |
| Ja | 10 (43,5) |
| – Knappheit spezifischer Medikamente | 8 (34,8) |
| – Personalmangel | 9 (39,1) |
| – ECMO-Equipment | 7 (30,4) |
| – Persönliche Schutzausrüstung | 9 (39,1) |
| Nein | 13 (56,5) |
aDie Zahlen beschreiben die absolute Zahl an Zentren, für die der genannte Parameter zutrifft, sowie den relativen Anteil (%) in Bezug zur Gesamtkohorte (n = 23)
| Zentrena | |
|---|---|
| Ja | 8 (36,4) |
| Nein | 14 (63,6) |
| Ja | 1 (4,3) |
| Nein | 22 (95,7) |
| Ja | 5 (21,7) |
| Nein | 18 (78,3) |
| Ja | 5 (21,7) |
| Nein | 18 (78,3) |
| Ja | 5 (21,7) |
| Nein | 18 (78,3) |
| Ja | 13 (56,5) |
| Nein | 10 (43,5) |
| Ja | 14 (60,9) |
| – Im Hinblick auf Personal | 13 (56,5) |
| – Im Hinblick auf ECMO-Equipment | 12 (52,5) |
| Nein | 9 (39,1) |
| Ja | 7 (30,4) |
| Nein | 16 (69,6) |
| Ja | 4 (17,4) |
| Nein | 19 (82,6) |
| Ja | 13 (56,5) |
| Nein | 10 (43,5) |
| Ja | 4 (17,4) |
| Nein | 19 (82,6) |
| Ja | 4 (17,4) |
| Nein | 19 (82,6) |
| Ja | 0 (0) |
| Nein | 23 (100) |
| Ja | 8 (34,8) |
| Nein | 15 (65,2) |
aDie Zahlen beschreiben die absolute Zahl an Zentren, für die der genannte Parameter zutrifft, sowie den relativen Anteil (%) in Bezug zur Gesamtkohorte (n = 23)
bn = 22 (wegen einer fehlenden Antwort)