| Literature DB >> 35012592 |
Calvin Lukas Kienbacher1, Jürgen Grafeneder1,2, Katharina Tscherny1, Mario Krammel3,4, Verena Fuhrmann1, Maximilian Niederer1, Sabine Neudorfsky3, Klaus Herbich3, Wolfgang Schreiber1,4, Harald Herkner5, Dominik Roth1.
Abstract
BACKGROUND: The COVID-19 pandemic led to widespread use of personal protection equipment (PPE), including filtering face piece (FFP) masks, throughout the world. PPE. Previous studies indicate that PPE impairs neurocognitive performance in healthcare workers. Concerns for personnel safety have led to special recommendations regarding basic life support (BLS) in patients with a potential SARS-CoV-2 infection, including the use of PPE. Established instruments are available to assess attention and dexterity in BLS settings, respectively. We aimed to evaluate the influence of PPE with different types of FFP masks on these two neuropsychological components of EMS personnel during BLS.Entities:
Keywords: COVID-19; Cardiopulmonary resuscitation; Concentration; Neurocognition; Personal protection equipment
Mesh:
Year: 2022 PMID: 35012592 PMCID: PMC8744370 DOI: 10.1186/s13049-021-00990-3
Source DB: PubMed Journal: Scand J Trauma Resusc Emerg Med ISSN: 1757-7241 Impact factor: 2.953
Demographic data of study participants
| Overall (N = 48) | |
|---|---|
| Age, years (SD) | 28 (8) |
| Female, n (%) | 4 (8) |
| EMT qualification, n (%) | |
| Basic life support | 20 (42) |
| Intermediate level | 11 (23) |
| Advanced life support | 17 (35) |
EMT emergency medical technician, SD standard deviation
Fig. 1Shift of concentration performance as measured by the d2 test, per scenario
Fig. 2Shift of dexterity as measured by the nine-hole peg test (NHPT), per scenario
Primary and secondary outcomes
| Control | Mask without valve | Mask with valve | |
|---|---|---|---|
| Concentration performance d2 (points) | |||
| d2 shift (SD) | 20.2 (37.5) | 11.7 (18.6) | 11.9 (22.1) |
| d2 shift, absolute difference versus control [95% CI] | – | − 8.5 [− 19.7, 2.7] | − 8.3 [− 19.4, 2.7] |
| d2 before BLS (SD) | 181.4 (52.7) | 189.9 (7.4) | 191.1 (50.9) |
| d2 after BLS (SD) | 201.5 (47.4) | 201.6 (49.8) | 203 (48.8) |
| d2 subscores | |||
| Error rate (%) | |||
| Subscore shift (SD) | − 0.1 (2.2) | 0.2 (1.1) | − 0.1 (1) |
| Subscore shift, absolute difference versus control [95% CI] | – | 0.3 [− 0.4, 0.9] | 0 [− 0.6, 0.6] |
| Subscore before scenario (SD) | 2 (7.6) | 2.1 (10.2) | 2.3 (9.5) |
| Subscore after scenario (SD) | 1.9 (8.7) | 2.3 (9.7) | 2.2 (10) |
| Errors of commission (points) | |||
| Subscore shift (SD) | 0.2 (5.2) | 0.6 (2.1) | − 0.2 (2) |
| Subscore shift, absolute difference versus control [95% CI] | – | 0.4 [− 1, 1.8] | − 0.4 [− 1.8, 1] |
| Subscore before scenario (SD) | 3.7 (13.1) | 4 (19.1) | 4.7 (19) |
| Subscore after scenario (SD) | 3.9 (16.6) | 4.6 (18.6) | 4.5 (19.4) |
| Errors of omission (points) | |||
| Subscore shift (SD) | − 6.6 (10.8) | − 2.5 (7.4) | − 1.8 (9.6) |
| Subscore shift, absolute difference versus control [95% CI] | – | 4.1 [0.3, 7.9] | 4.8 [1, 8.6] |
| Subscore before scenario (SD) | 20 (25.2) | 17 (22.1) | 16.7 (21) |
| Subscore after scenario (SD) | 13.4 (18.4) | 14.5 (18.7) | 14.9 (18.6) |
| Processed target objects (points) | |||
| Subscore shift (SD) | 13.8 (35.1) | 9.8 (17.5) | 9.9 (18.7) |
| Subscore shift, absolute difference versus control [95% CI] | – | − 4 [− 14.3, 6.3] | − 3.9 [− 14.1, 6.2] |
| Subscore before scenario (SD) | 205 (46) | 210.9 (44.5) | 212.5 (43.7) |
| Subscore after scenario (SD) | 218.8 (41.3) | 220.7 (6.3) | 222.4 (41.2) |
| Dexterity NHPT (s) | |||
| NHPT shift (SD) | − 0.6 (2.5) | − 1 (2.6) | − 0.3 (2.8) |
| NHPT shift, absolute difference versus control [95% CI] | – | − 0.4 [− 1.4, 0.7] | 0.3 [− 0.7, 1.4] |
| NHPT before scenario (SD) | 24.8 (3.6) | 24.2 (3.1) | 24 (3.5) |
| NHPT after scenario (SD) | 24.2 (3.1) | 23.2 (2.8) | 23.7 (3.1) |
CI confidence interval, NHPT nine-hole peg test, SD standard deviation