| Literature DB >> 33091034 |
Enrico Baldi1,2, Giuseppe Maria Sechi3, Claudio Mare3, Fabrizio Canevari4, Antonella Brancaglione4, Roberto Primi5, Alessandra Palo6, Enrico Contri6, Vincenza Ronchi7, Giorgio Beretta8, Francesca Reali8, Pier Paolo Parogni9, Fabio Facchin9, Ugo Rizzi10, Daniele Bussi10, Simone Ruggeri10, Luigi Oltrona Visconti5, Simone Savastano5.
Abstract
INTRODUCTION: An increase in the incidence of OHCA during the COVID-19 pandemic has been recently demonstrated. However, there are no data about how the COVID-19 epidemic influenced the treatment of OHCA victims.Entities:
Mesh:
Substances:
Year: 2020 PMID: 33091034 PMCID: PMC7580972 DOI: 10.1371/journal.pone.0241028
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Baseline characteristics of OHCA occurred in 2020 and in 2019.
| 430 (62) | 300 (57.7) | 0.28 | |
| 77 [67–85] | 79 [65–86] | 0.14 | |
| 139 (20) | 0 (0) | - | |
| 15 [11–19] | 12 [9–15] | <0.001 | |
| 0.002 | |||
| 613 (93) | 456 (89) | ||
| 23 (3.5) | 44 (8.6) | ||
| 1 (0.2) | 0 (0) | ||
| 4 (0.6) | 1 (0.4) | ||
| 0 (0) | 0 (0) | ||
| 21 (3.2) | 10 (2) | ||
| 32 (4.6) | 9 (1.7) | ||
| 623 (90) | 420 (81) | <0.001 | |
| 33 (4.8) | 37 (7.1) | ||
| 3 (0.4) | 4 (0.8) | ||
| 26 (3.7) | 44 (8.5) | ||
| 4 (0.6) | 9 (1.7) | ||
| 0 (0) | 2 (0.4) | ||
| 5 (0.7) | 4 (0.8) | ||
| 0.002 | |||
| 344 (50) | 219 (42) | ||
| 236 (34) | 235 (45) | ||
| 86 (12) | 55 (11) | ||
| 28 (4) | 11 (2) | ||
| 56 (8) | 58 (11) | 0.07 | |
| 56 (12.5) | 58 (15.5) | 0.2 |
IQR: 25–75 percentile range
EMS: Emergency Medical System
OHCA: out-of-hospital cardiac arrest
CPR: cardiopulmonary resuscitation
ROSC: return of spontaneous circulation
¥ considering only patients with resuscitation attempted
Bystanders and EMS intervention and resulting short-term outcome.
| Variable | 2020 | 2019 | p |
|---|---|---|---|
| n = 694 | n = 520 | ||
| Bystanders resuscitation | |||
| Bystander CPR, n (%) | 140 (24.5) | 162 (35.7) | <0.001 |
| 126 (34.6) | 154 (48.3) | <0.001 | |
| AED use before EMS Arrival, n (%) | 13 (2) | 20 (4) | 0.11 |
| Resuscitation attempted, n (%) | 448 (64.5) | 373 (72) | 0.008 |
| Cause for not resuscitation, n (%) | 0.07 | ||
| 204 (29.5) | 111 (21) | ||
| 42 (6) | 36 (7) | ||
| ALS attempted, n (%) | 200 (29) | 239 (46) | <0.001 |
| 200 (45) | 239 (64) | <0.001 | |
| Mechanical compression, n (%) | 27 (13.5) | 37 (15.5) | 0.6 |
| Epinephrine, mg [IQR] | 4 [2–5] | 3 [2–5] | 0.15 |
| Amiodarone, n (%) | 28 (14) | 28 (12) | 0.3 |
| Shock delivered (mean±SD) | 1.2±2.3 | 1.15±2.6 | 0.87 |
| Resuscitation duration median | 21.6 [10.3–36.4] | 23.1 [12.5–36.3] | 0.3 |
| ROSC at hospital admission, n (%) | 48 (11) | 73 (20) | 0.001 |
| 37 (19) | 61 (26) | 0.15 |
CPR Cardiopulmonary resuscitation.
AED Automated external defibrillator.
ALS Advanced Life Support.
IQR 25–75 Interquartile range.
ROSC Return Of Spontaneous Circulation.
^ excluding EMS-witnessed patients.
† excluding EMS-witnessed patients and considering only patients with resuscitation attempted.
¥ considering only patients with resuscitation attempted.
* considering only patients with ALS attempted.
¶ intended as the time from EMS arrival to the end of resuscitation.
Univariable and multivariable logistic regression model for ALS attempt prediction.
| Univariable logistic regression for ALS attempt | Multivariable logistic regression for ALS attempt | ||||||
|---|---|---|---|---|---|---|---|
| Variable | OR | 95%CI | p | OR | 95%CI | Wald | p |
| 0.97 | 0.97–0.98 | <0.001 | 0.97 | 0.96–0.98 | 43.6 | <0.001 | |
| 0.97 | 0.95–0.99 | 0.02 | 0.98 | 0.96–1 | 1.8 | 0.18 | |
| 0.24 | 0.14–0.42 | 26.6 | <0.001 | ||||
| 0.23 | 0.2–0.3 | <0.001 | 0.35 | 0.26–0.48 | 44.6 | <0.001 | |
| 0.95 | 0.94–0.97 | <0.001 | 0.97 | 0.94–0.99 | 9.2 | 0.002 | |
| 0.26 | 0.19–0.34 | <0.001 | 0.58 | 0.42–0.78 | 11.4 | 0.001 | |
| 1.1 | 0.71–1.66 | 0.69 | |||||
| 0.83 | 0.55–1.3 | 0.4 | |||||
Fig 1Forest plot for univariable and multivariable logistic regression model for ALS attempt prediction.