| Literature DB >> 32546635 |
Jens Fiehler1, Patrick Brouwer2, Carlos Díaz3, Joshua A Hirsch4, Zsolt Kulcsar5, David Liebeskind6, Italo Linfante7, Pedro Lylyk8, William J Mack9, James Milburn10, Raul Nogueira11, Darren B Orbach12, José Manuel Manuel Pumar13, Michihiro Tanaka14, Allan Taylor15.
Abstract
BACKGROUND: This survey was focused on the provision of neurointerventional services, the current practices of managing patients under COVID-19 conditions, and the expectations for the future.Entities:
Keywords: intervention; political; standards; stroke; thrombectomy
Mesh:
Year: 2020 PMID: 32546635 PMCID: PMC7316120 DOI: 10.1136/neurintsurg-2020-016349
Source DB: PubMed Journal: J Neurointerv Surg ISSN: 1759-8478 Impact factor: 5.836
Figure 1Number of responses per country.
Figure 2Situation of neurointerventional services under COVID-19 in working patterns (A), treatment of endovascular emergency cases (B), case volume in emergency cases (C), and case volume in non-emergency procedures (D).
Figure 3Left: availability of protection equipment. Right: interest in different online tools to face future challenges with expected limited travel options. PAPR, powered air-purifying respirators.
Countries with five or more survey participants with national infection rates and expectations on the time to re-commence to full capacity of non-emergency procedures
| Survey participants | COVID-19 infections* | Expected duration to re-commence to full capacity (%) | |||||||
| Total (n) | April 2, 2020 | April 20, 2020 | Not stopped | <3 months | 3–6 months | 6–12 months | >12 months | Unclear | |
| USA | 166 | 74 | 145 | 0% | 65% | 30% | 3% | 0% | 2% |
| Japan | 41 | 2 | 9 | 5% | 45% | 31% | 10% | 2% | 7% |
| Spain | 37 | 238 | 426 | 0% | 68% | 27% | 0% | 0% | 5% |
| Germany | 22 | 78 | 177 | 0% | 41% | 41% | 5% | 14% | 0% |
| Italy | 18 | 192 | 302 | 0% | 33% | 61% | 0% | 0% | 6% |
| Argentina | 15 | 3 | 7 | 0% | 80% | 20% | 0% | 0% | 0% |
| France | 14 | 85 | 233 | 0% | 50% | 43% | 0% | 0% | 7% |
| UK | 12 | 45 | 188 | 0% | 0% | 83% | 0% | 0% | 17% |
| Brazil | 9 | 4 | 20 | 0% | 44% | 44% | 0% | 11% | 0% |
| S. Korea | 9 | 19 | 21 | 44% | 11% | 11% | 22% | 0% | 11% |
| India | 8 | 0 | 1 | 0% | 88% | 13% | 0% | 0% | 0% |
| Australia | 6 | 20 | 26 | 0% | 0% | 50% | 50% | 0% | 0% |
| Canada | 6 | 29 | 100 | 0% | 50% | 17% | 0% | 0% | 33% |
| Chile | 6 | 16 | 58 | 0% | 17% | 83% | 0% | 0% | 0% |
| Portugal | 6 | 90 | 210 | 0% | 100% | 0% | 0% | 0% | 0% |
| Sweden | 6 | 60 | 150 | 0% | 17% | 67% | 17% | 0% | 0% |
| Turkey | 6 | 22 | 111 | 0% | 33% | 33% | 33% | 0% | 0% |
| Colombia | 5 | 3 | 8 | 0% | 80% | 0% | 20% | 0% | 0% |
| Switzerland | 5 | 211 | 311 | 0% | 20% | 60% | 0% | 0% | 20% |
*Confirmed COVID-19 infections per 100 000 inhabitants at the beginning and end of survey period (source: https://coronavirus.jhu.edu/map.html).